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시장보고서
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세계의 공급망 관리용 머신러닝 시장

Machine Learning in Supply Chain Management
발행일: | 리서치사: Market Glass, Inc. (Formerly Global Industry Analysts, Inc.) | 페이지 정보: 영문 339 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

공급망 관리용 머신러닝 세계 시장은 2030년까지 87억 달러에 달할 전망

2024년에 21억 달러로 추정되는 공급망 관리용 머신러닝 세계 시장은 2024년부터 2030년까지 CAGR 26.9%로 성장하여 2030년에는 87억 달러에 달할 것으로 예측됩니다. 이 보고서에서 분석한 부문 중 하나인 소프트웨어 구성요소는 CAGR 23.8%를 기록하며 분석 기간 종료시에는 51억 달러에 달할 것으로 예측됩니다. 서비스 구성요소 분야의 성장률은 분석 기간 동안 CAGR 32.5%로 추정됩니다.

미국 시장은 5억 4,920만 달러로 추정, 중국은 CAGR 25.7%로 성장 예측

미국의 공급망 관리용 머신러닝 시장은 2024년에 5억 4,920만 달러로 추정됩니다. 세계 2위 경제 대국인 중국은 2030년까지 13억 달러의 시장 규모에 달할 것으로 예측되며, 분석 기간인 2024-2030년 CAGR은 25.7%를 기록할 것으로 예상됩니다. 기타 주목할 만한 지역별 시장으로는 일본과 캐나다가 있고, 분석 기간 동안 CAGR은 각각 24.2%와 23.6%로 예측됩니다. 유럽에서는 독일이 CAGR 약 18.9%로 성장할 것으로 예측됩니다.

세계의 공급망 관리용 머신러닝 시장 - 주요 동향과 촉진요인 정리

공급망 관리용 머신러닝이 인기를 끄는 이유는?

공급망 관리는 세계 혼란, 수요 변동, 신속하고 효율적인 배송에 대한 고객의 기대치가 높아짐에 따라 점점 더 복잡해지고 있습니다. 머신러닝은 실시간 인사이트를 제공하고, 수요 예측을 개선하고, 재고 수준을 최적화함으로써 공급망 운영을 혁신하고 있습니다. E-Commerce, 적시 생산, 멀티채널 유통 모델의 부상으로 기업들은 AI를 활용한 분석을 통해 공급망 가시성을 높이고 위험을 최소화하기 위해 AI를 활용하고 있습니다.

혁신은 공급망 관리용 머신러닝의 성능을 어떻게 향상시키고 있는가?

AI를 활용한 분석, 클라우드 컴퓨팅, 자동화의 발전으로 공급망은 더욱 탄력적이고 민첩하게 변화하고 있습니다. 머신러닝 알고리즘은 수요 변동을 예측하고, 이상 징후를 감지하고, 창고 재고 수준을 최적화하는 예측 분석에 활용되고 있습니다. AI 기반 경로 최적화 도구는 물류 효율성을 개선하고, 운송 비용을 절감하며, 마지막 1마일 배송 정확도를 높이고 있습니다. 블록체인과 통합된 AI 솔루션은 공급망의 투명성을 향상시키고, 제조업체에서 최종 소비자까지 상품의 실시간 추적을 가능하게 합니다.

시장 촉진요인은 무엇인가?

세계 공급망의 복잡성, 빠른 배송에 대한 소비자의 기대치 증가, 리스크 관리 개선에 대한 요구는 시장 성장을 촉진하는 주요 요인입니다. COVID-19 팬데믹은 기업들이 혼란을 완화하고 업무 효율성을 높이기 위해 AI를 활용한 공급망 솔루션의 도입을 더욱 가속화시키고 있습니다. 또한, 지속가능성에 대한 우려와 규제 준수 요구 사항으로 인해 기업들은 에너지 소비를 최적화하고 폐기물을 줄이는 AI 기반 솔루션을 채택하고 있습니다.

어떤 과제와 미래 기회가 존재할까?

AI 도입에 따른 높은 비용, 공급망 네트워크 전반의 데이터 통합 문제, 사이버 보안 위험 등의 문제가 있습니다. 그러나 AI를 활용한 공급망 리스크 관리 솔루션의 확대, 자동 의사결정을 위한 자가 학습 알고리즘의 개발, AI를 활용한 지속가능성 추적 도구의 채택에는 기회가 존재합니다. 자율 창고 관리, 로봇을 통한 공급망 운영, AI 기반 조달 전략에서 AI의 지속적인 진화는 공급망 관리에 또 다른 혁명을 가져올 것으로 보입니다.

부문

구성요소(소프트웨어 구성요소, 서비스 구성요소), 디플로이먼트(클라우드 기반 디플로이먼트, 온프레미스 디플로이먼트), 조직(대기업, 중소기업), 애플리케이션(수요 예측 애플리케이션, 공급자관계관리 애플리케이션, 리스크 관리 애플리케이션, 제품 수명주기 관리 애플리케이션, 판매·업무 계획 애플리케이션, 기타 애플리케이션), 최종사용자(소매·E-Commerce 최종사용자, 제조 최종사용자, 헬스케어 최종사용자, 자동차 최종사용자, 식품 및 음료 최종사용자, 소비재 최종사용자, 기타 최종사용자)

조사 대상 기업 사례

  • Accenture plc
  • Aera Technology
  • Amazon Web Services(AWS)
  • Blue Yonder
  • Coupa Software
  • DataArt
  • Flowspace
  • FourKites
  • IBM Corporation
  • Lokad
  • Microsoft Corporation
  • Noodle.ai
  • Oracle Corporation
  • Osa Commerce
  • Project44
  • Samsara
  • SAP SE
  • Shipsy
  • Shipwell
  • Transmetrics

AI 통합

Global Industry Analysts는 검증된 전문가 컨텐츠와 AI 툴을 통해 시장 정보와 경쟁 정보를 혁신하고 있습니다.

Global Industry Analysts는 일반적인 LLM 및 업계 고유의 SLM 쿼리를 따르는 대신 비디오 기록, 블로그, 검색 엔진 조사, 방대한 양의 기업, 제품/서비스, 시장 데이터 등 세계 전문가로부터 수집한 컨텐츠 리포지토리를 구축했습니다.

관세 영향 계수

Global Industry Analysts는 본사 소재지, 제조거점, 수출입(완제품 및 OEM)을 기준으로 기업의 경쟁력 변화를 예측하고 있습니다. 이러한 복잡하고 다면적인 시장 역학은 매출원가(COGS) 증가, 수익성 하락, 공급망 재편 등 미시적, 거시적 시장 역학 중에서도 특히 경쟁사들에게 영향을 미칠 것으로 예상됩니다.

목차

제1장 조사 방법

제2장 주요 요약

  • 시장 개요
  • 주요 기업
  • 시장 동향과 촉진요인
  • 세계 시장 전망

제3장 시장 분석

  • 미국
  • 캐나다
  • 일본
  • 중국
  • 유럽
  • 프랑스
  • 독일
  • 이탈리아
  • 영국
  • 기타 유럽
  • 아시아태평양
  • 기타 지역

제4장 경쟁

ksm 25.08.08

Global Machine Learning in Supply Chain Management Market to Reach US$8.7 Billion by 2030

The global market for Machine Learning in Supply Chain Management estimated at US$2.1 Billion in the year 2024, is expected to reach US$8.7 Billion by 2030, growing at a CAGR of 26.9% over the analysis period 2024-2030. Software Component, one of the segments analyzed in the report, is expected to record a 23.8% CAGR and reach US$5.1 Billion by the end of the analysis period. Growth in the Services Component segment is estimated at 32.5% CAGR over the analysis period.

The U.S. Market is Estimated at US$549.2 Million While China is Forecast to Grow at 25.7% CAGR

The Machine Learning in Supply Chain Management market in the U.S. is estimated at US$549.2 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$1.3 Billion by the year 2030 trailing a CAGR of 25.7% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 24.2% and 23.6% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 18.9% CAGR.

Global Machine Learning in Supply Chain Management Market - Key Trends & Drivers Summarized

Why Is Machine Learning in Supply Chain Management Gaining Popularity?

Supply chain management is becoming increasingly complex due to global disruptions, fluctuating demand, and increasing customer expectations for fast and efficient deliveries. Machine learning is transforming supply chain operations by providing real-time insights, improving demand forecasting, and optimizing inventory levels. With the rise of e-commerce, just-in-time manufacturing, and multi-channel distribution models, businesses are leveraging AI-powered analytics to enhance supply chain visibility and minimize risks.

How Are Innovations Enhancing the Performance of Machine Learning in Supply Chain Management?

Advancements in AI-driven analytics, cloud computing, and automation are making supply chains more resilient and agile. Machine learning algorithms are being used for predictive analytics to anticipate demand fluctuations, detect anomalies, and optimize warehouse inventory levels. AI-driven route optimization tools are improving logistics efficiency, reducing transportation costs, and enhancing last-mile delivery accuracy. Blockchain-integrated AI solutions are also improving supply chain transparency, enabling real-time tracking of goods from manufacturers to end consumers.

What Are the Key Market Drivers?

The increasing complexity of global supply chains, rising consumer expectations for faster deliveries, and the need for improved risk management are key factors driving market growth. The COVID-19 pandemic has further accelerated the adoption of AI-powered supply chain solutions as companies seek to mitigate disruptions and enhance operational efficiency. Additionally, sustainability concerns and regulatory compliance requirements are pushing companies to adopt AI-driven solutions that optimize energy consumption and reduce waste.

What Challenges and Future Opportunities Exist?

Challenges include the high cost of AI implementation, data integration issues across supply chain networks, and cybersecurity risks. However, opportunities exist in the expansion of AI-driven supply chain risk management solutions, the development of self-learning algorithms for automated decision-making, and the adoption of AI-powered sustainability tracking tools. The continued evolution of AI in autonomous warehouse management, robotic supply chain operations, and AI-driven procurement strategies will further revolutionize supply chain management.

SCOPE OF STUDY:

The report analyzes the Machine Learning in Supply Chain Management market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Software Component, Services Component); Deployment (Cloud-based Deployment, On-Premise Deployment); Organization (Large Enterprises, Small & Medium-Sized Enterprises); Application (Demand Forecasting Application, Supplier Relationship Management Application, Risk Management Application, Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications); End-User (Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User, Other End-Users)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 48 Featured) -

  • Accenture plc
  • Aera Technology
  • Amazon Web Services (AWS)
  • Blue Yonder
  • Coupa Software
  • DataArt
  • Flowspace
  • FourKites
  • IBM Corporation
  • Lokad
  • Microsoft Corporation
  • Noodle.ai
  • Oracle Corporation
  • Osa Commerce
  • Project44
  • Samsara
  • SAP SE
  • Shipsy
  • Shipwell
  • Transmetrics

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • Tariff Impact on Global Supply Chain Patterns
    • Machine Learning in Supply Chain Management - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Rising Demand for End-to-End Supply Chain Visibility Drives Adoption of Machine Learning Solutions
    • Increased Supply Chain Complexity and Globalization Strengthens the Business Case for ML-Driven Optimization
    • Integration of ML with ERP and SCM Systems Enhances Forecasting Accuracy and Operational Agility
    • Growing Focus on Demand Sensing and Predictive Inventory Planning Spurs ML Deployment Across Retail and Manufacturing
    • Disruption Management and Real-Time Scenario Planning Drive Use of ML in Resilient Supply Chain Strategies
    • Advancements in Natural Language Processing Improve Procurement Intelligence and Supplier Risk Analysis
    • ML-Powered Automation of Procurement Workflows Reduces Costs and Enhances Compliance
    • Real-Time Transportation and Route Optimization Using ML Algorithms Boosts Efficiency in Logistics
    • Use of ML in Predictive Maintenance Minimizes Downtime in Supply Chain Equipment and Infrastructure
    • ML Integration in Cold Chain Management Ensures Quality Control and Real-Time Monitoring
    • Cloud and Edge Computing Convergence Expands ML Scalability Across Global Supply Chain Networks
    • Workforce Shortages and Skill Gaps Drive ML-Based Robotic Process Automation in Warehousing
    • Increased Cybersecurity Concerns Spur Use of ML in Threat Detection and Supply Chain Security
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Machine Learning in Supply Chain Management Market Analysis of Annual Sales in US$ Thousand for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 3: World Historic Review for Machine Learning in Supply Chain Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 4: World 15-Year Perspective for Machine Learning in Supply Chain Management by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2015, 2025 & 2030
    • TABLE 5: World Recent Past, Current & Future Analysis for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 6: World Historic Review for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 7: World 15-Year Perspective for Software Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Services Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 9: World Historic Review for Services Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 10: World 15-Year Perspective for Services Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 11: World Recent Past, Current & Future Analysis for Product Lifecycle Management Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 12: World Historic Review for Product Lifecycle Management Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 13: World 15-Year Perspective for Product Lifecycle Management Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Sales & Operations Planning Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 15: World Historic Review for Sales & Operations Planning Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 16: World 15-Year Perspective for Sales & Operations Planning Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 17: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 18: World Historic Review for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 19: World 15-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Demand Forecasting Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 21: World Historic Review for Demand Forecasting Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 22: World 15-Year Perspective for Demand Forecasting Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 23: World Recent Past, Current & Future Analysis for Supplier Relationship Management Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 24: World Historic Review for Supplier Relationship Management Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 25: World 15-Year Perspective for Supplier Relationship Management Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Risk Management Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 27: World Historic Review for Risk Management Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 28: World 15-Year Perspective for Risk Management Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 29: World Recent Past, Current & Future Analysis for Retail & E-commerce End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 30: World Historic Review for Retail & E-commerce End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 31: World 15-Year Perspective for Retail & E-commerce End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 32: World Recent Past, Current & Future Analysis for Manufacturing End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 33: World Historic Review for Manufacturing End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 34: World 15-Year Perspective for Manufacturing End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 35: World Recent Past, Current & Future Analysis for Healthcare End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 36: World Historic Review for Healthcare End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 37: World 15-Year Perspective for Healthcare End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 38: World Recent Past, Current & Future Analysis for Automotive End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 39: World Historic Review for Automotive End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 40: World 15-Year Perspective for Automotive End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 41: World Recent Past, Current & Future Analysis for Food & Beverage End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 42: World Historic Review for Food & Beverage End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 43: World 15-Year Perspective for Food & Beverage End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 44: World Recent Past, Current & Future Analysis for Consumer Goods End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 45: World Historic Review for Consumer Goods End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 46: World 15-Year Perspective for Consumer Goods End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 47: World Recent Past, Current & Future Analysis for Other End-Users by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 48: World Historic Review for Other End-Users by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 49: World 15-Year Perspective for Other End-Users by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 50: World Recent Past, Current & Future Analysis for Cloud-based Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 51: World Historic Review for Cloud-based Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 52: World 15-Year Perspective for Cloud-based Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 53: World Recent Past, Current & Future Analysis for On-Premise Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 54: World Historic Review for On-Premise Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 55: World 15-Year Perspective for On-Premise Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 56: World Recent Past, Current & Future Analysis for Large Enterprises by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 57: World Historic Review for Large Enterprises by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 58: World 15-Year Perspective for Large Enterprises by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 59: World Recent Past, Current & Future Analysis for Small & Medium-Sized Enterprises by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 60: World Historic Review for Small & Medium-Sized Enterprises by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 61: World 15-Year Perspective for Small & Medium-Sized Enterprises by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 62: USA Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 63: USA Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 64: USA 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
    • TABLE 65: USA Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 66: USA Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 67: USA 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
    • TABLE 68: USA Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 69: USA Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 70: USA 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
    • TABLE 71: USA Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 72: USA Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 73: USA 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
    • TABLE 74: USA Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 75: USA Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 76: USA 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
  • CANADA
    • TABLE 77: Canada Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 78: Canada Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 79: Canada 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
    • TABLE 80: Canada Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 81: Canada Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 82: Canada 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
    • TABLE 83: Canada Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 84: Canada Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 85: Canada 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
    • TABLE 86: Canada Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Canada Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 88: Canada 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
    • TABLE 89: Canada Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 90: Canada Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 91: Canada 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
  • JAPAN
    • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 92: Japan Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Japan Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 94: Japan 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
    • TABLE 95: Japan Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 96: Japan Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 97: Japan 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
    • TABLE 98: Japan Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 99: Japan Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 100: Japan 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
    • TABLE 101: Japan Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 102: Japan Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 103: Japan 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
    • TABLE 104: Japan Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 105: Japan Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 106: Japan 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
  • CHINA
    • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 107: China Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 108: China Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 109: China 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
    • TABLE 110: China Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 111: China Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 112: China 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
    • TABLE 113: China Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 114: China Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 115: China 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
    • TABLE 116: China Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 117: China Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 118: China 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
    • TABLE 119: China Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 120: China Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 121: China 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
  • EUROPE
    • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 122: Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 123: Europe Historic Review for Machine Learning in Supply Chain Management by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 124: Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2015, 2025 & 2030
    • TABLE 125: Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 126: Europe Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 127: Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
    • TABLE 128: Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 129: Europe Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 130: Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
    • TABLE 131: Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 132: Europe Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 133: Europe 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
    • TABLE 134: Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 135: Europe Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 136: Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
    • TABLE 137: Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 138: Europe Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 139: Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
  • FRANCE
    • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 140: France Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 141: France Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 142: France 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
    • TABLE 143: France Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 144: France Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 145: France 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
    • TABLE 146: France Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 147: France Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 148: France 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
    • TABLE 149: France Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 150: France Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 151: France 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
    • TABLE 152: France Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 153: France Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 154: France 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
  • GERMANY
    • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 155: Germany Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 156: Germany Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 157: Germany 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
    • TABLE 158: Germany Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 159: Germany Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 160: Germany 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
    • TABLE 161: Germany Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 162: Germany Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 163: Germany 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
    • TABLE 164: Germany Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 165: Germany Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 166: Germany 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
    • TABLE 167: Germany Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 168: Germany Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 169: Germany 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
  • ITALY
    • TABLE 170: Italy Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 171: Italy Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 172: Italy 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
    • TABLE 173: Italy Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 174: Italy Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 175: Italy 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
    • TABLE 176: Italy Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 177: Italy Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 178: Italy 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
    • TABLE 179: Italy Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 180: Italy Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 181: Italy 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
    • TABLE 182: Italy Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 183: Italy Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 184: Italy 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
  • UNITED KINGDOM
    • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 185: UK Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 186: UK Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 187: UK 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
    • TABLE 188: UK Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 189: UK Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 190: UK 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
    • TABLE 191: UK Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 192: UK Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 193: UK 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
    • TABLE 194: UK Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 195: UK Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 196: UK 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
    • TABLE 197: UK Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 198: UK Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 199: UK 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
  • REST OF EUROPE
    • TABLE 200: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 201: Rest of Europe Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 202: Rest of Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
    • TABLE 203: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 204: Rest of Europe Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 205: Rest of Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
    • TABLE 206: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 207: Rest of Europe Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 208: Rest of Europe 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
    • TABLE 209: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 210: Rest of Europe Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 211: Rest of Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
    • TABLE 212: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 213: Rest of Europe Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 214: Rest of Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
  • ASIA-PACIFIC
    • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 215: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 216: Asia-Pacific Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 217: Asia-Pacific 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
    • TABLE 218: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 219: Asia-Pacific Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 220: Asia-Pacific 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
    • TABLE 221: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 222: Asia-Pacific Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 223: Asia-Pacific 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
    • TABLE 224: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 225: Asia-Pacific Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 226: Asia-Pacific 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
    • TABLE 227: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 228: Asia-Pacific Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 229: Asia-Pacific 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
  • REST OF WORLD
    • TABLE 230: Rest of World Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 231: Rest of World Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 232: Rest of World 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
    • TABLE 233: Rest of World Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 234: Rest of World Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 235: Rest of World 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
    • TABLE 236: Rest of World Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 237: Rest of World Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 238: Rest of World 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
    • TABLE 239: Rest of World Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 240: Rest of World Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 241: Rest of World 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
    • TABLE 242: Rest of World Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 243: Rest of World Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 244: Rest of World 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030

IV. COMPETITION

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