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세계의 물류용 디지털 트윈 시장 보고서(2025년)

Digital Twin In Logistics Global Market Report 2025

발행일: | 리서치사: The Business Research Company | 페이지 정보: 영문 250 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

물류용 디지털 트윈 시장 규모는 최근 급격히 확대되고 있습니다. 2024년 27억 7,000만 달러에서 2025년에는 33억 4,000만 달러에 달하고, CAGR 20.5%를 나타낼 것으로 예상되고 있습니다. 지난 수년간의 성장은 실시간 데이터 분석의 이용 확대, 공급망 시각화에 대한 수요 증가, 창고 자동화의 진전, 전자상거래 물류 활동의 확대, 업무 효율화에 대한 주목 증가짐, 그리고 접속형 물류 인프라의 발전에 기인하는 것으로 보입니다.

물류용 디지털 트윈 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 69억 5,000만 달러에 달하고, CAGR은 20.1%를 나타낼 전망입니다. 예측 기간의 성장요인으로는 스마트물류 솔루션에 대한 투자 증가, 예지보전시스템 도입 확대, 자율주행차·커넥티드 차량의 플릿 확충, 지속가능한 물류운영에 대한 수요 증가, 물류분야에서의 엣지컴퓨팅 도입 증가 등이 있습니다. 예측 기간의 주요 동향에는 시뮬레이션 모델링 기술의 진보, AI 구동형 물류 분석의 혁신, 상호 운용 가능한 디지털 트윈 에코시스템의 개발, 가상 창고 기술의 연구 개발, 블록체인 대응 디지털 트윈의 출현이 포함됩니다.

앞으로 전자상거래(전자상거래) 활동 증가는 물류시장에서 디지털 트윈의 성장을 가속할 것으로 예측됩니다. 전자상거래란 인터넷을 통한 상품·서비스의 매매를 가리키며 기업과 소비자가 웹사이트나 디지털 플랫폼을 통해 온라인으로 거래를 하는 형태입니다. 인터넷 접속의 확대와 언제 어디서나 온라인 쇼핑이 가능한 편의성으로 인해 전자상거래 활동이 증가하는 경향이 있습니다. 물류용 디지털 트윈은 실시간 데이터를 활용하여 재고 관리, 창고 운영, 배송 프로세스를 최적화하고 보다 신속하고 효율적인 주문 이행을 실현함으로써 전자상거래를 지원합니다. 예를 들어 영국 과학기술부가 발표한 '영국 비즈니스 데이터 조사'에 따르면 2024년 기준에서 영국 기업 2,000개 중 약 1,540개가 디지털화된 데이터를 취급했고, 약 420개가 그 분석에 의한 인사이트를 획득했으며, 약 40개가 AI나 자동 의사결정에 활용했습니다. 그러므로 디지털화된 데이터의 이용 증가는 물류 시장에서 디지털 트윈의 성장을 견인하고 있습니다.

물류용 디지털 트윈 시장에서 활동하는 주요 기업은 업무 효율성과 실시간 의사결정의 향상을 도모하기 위해 인공지능을 활용한 디지털 트윈 기술 등의 선진 솔루션 개발에 주력하고 있습니다. 인공지능을 활용한 디지털 트윈 기술이란 AI, 머신러닝, 데이터 분석을 활용하여 현실 세계의 업무를 실시간으로 시뮬레이션, 예측, 최적화하는 물리 시스템의 지적 가상 복제를 말합니다. 예를 들어, 2025년 1월에는 독일에 본사를 둔 기술 기업 Siemens AG가 산업용 AI와 디지털 트윈 기술의 혁신을 발표했습니다. 이를 통해 물류 및 공급망 업무에 대한 지적 디지털 복제본을 만들 수 있으며, 기업은 현실 세계에서 변경을 실시하기 전에 창고 워크플로, 차량 경로, 제조 공정를 가상적으로 설계, 테스트 및 최적화할 수 있습니다. 시스템 성능에 대한 실시간 인사이트, 예측 유지보수 기능, 프로세스 최적화를 제공하여 다운타임을 줄이고 효율성을 향상시킵니다. 산업용 AI를 활용한 디지털 트윈은 업무의 가시성을 높이고 지속 가능한 물류 실천을 지원하며 기업이 보다 높은 민첩성과 생산성을 달성할 수 있도록 합니다.

자주 묻는 질문

  • 물류용 디지털 트윈 시장 규모는 어떻게 변화하고 있나요?
  • 물류용 디지털 트윈 시장의 성장 요인은 무엇인가요?
  • 전자상거래의 증가가 물류용 디지털 트윈에 미치는 영향은 무엇인가요?
  • 물류용 디지털 트윈 시장에서 주요 기업들은 어떤 기술을 개발하고 있나요?
  • 물류용 디지털 트윈 시장의 주요 동향은 무엇인가요?

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

  • 세계의 물류용 디지털 트윈 : PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 성장 촉진요인 및 억제요인)
  • 최종 이용 산업의 분석
  • 세계의 물류용 디지털 트윈 시장 : 성장률 분석
  • 세계의 물류용 디지털 트윈 시장 실적 : 규모와 성장(2019-2024년)
  • 세계의 물류용 디지털 트윈 시장 예측 : 규모와 성장(2024-2029년, 2034년)
  • 세계의 물류용 디지털 트윈 : 전체 시장 규모(TAM)

제6장 시장 세분화

  • 세계의 물류용 디지털 트윈 시장 : 구성 요소별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
  • 소프트웨어
  • 서비스
  • 플랫폼
  • 세계의 물류용 디지털 트윈 시장 : 배포 모델별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
  • 퍼블릭 클라우드
  • 프라이빗 클라우드
  • 하이브리드 클라우드
  • 세계의 물류용 디지털 트윈 시장 : 조직 규모별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
  • 대기업
  • 중소기업
  • 세계의 물류용 디지털 트윈 시장 : 용도별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
  • 경로 최적화
  • 창고 및 재고 관리
  • 예지보전
  • 자산 추적
  • 기타 용도
  • 세계의 물류용 디지털 트윈 시장 : 최종 사용자별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
  • 자동차
  • 항공우주 및 방위
  • 제조
  • 소매 및 전자상거래
  • 에너지 및 유틸리티
  • 기타 최종 사용자
  • 세계의 물류용 디지털 트윈 시장 : 소프트웨어 유형별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
  • 시뮬레이션 소프트웨어
  • 예측 분석 소프트웨어
  • 3D 모델링 소프트웨어
  • 데이터 통합 소프트웨어
  • 자산 성능 관리 소프트웨어
  • 프로세스 자동화 소프트웨어
  • 세계의 물류용 디지털 트윈 시장 : 서비스 유형별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
  • 컨설팅 서비스
  • 구현 서비스
  • 통합 서비스
  • 지원 및 유지보수 서비스
  • 교육 및 훈련 서비스
  • 매니지드 서비스
  • 세계의 물류용 디지털 트윈 시장 : 플랫폼 유형별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
  • 클라우드 기반 플랫폼
  • On-Premise 플랫폼
  • 하이브리드 플랫폼
  • 사물인터넷(IoT) 플랫폼
  • 인공지능 플랫폼
  • 엣지 컴퓨팅 플랫폼

제7장 지역별/국가별 분석

  • 세계의 물류용 디지털 트윈 시장 : 지역별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
  • 세계의 물류용 디지털 트윈 시장 : 국가별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

  • 물류용 디지털 트윈 시장 : 경쟁 구도
  • 물류용 디지털 트윈 시장 : 기업 프로파일
    • Amazon Web Services Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
    • Microsoft Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
    • Robert Bosch GmbH : 개요, 제품 및 서비스, 전략 및 재무 분석
    • Accenture plc. : 개요, 제품 및 서비스, 전략 및 재무 분석
    • International Business Machines Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석

제31장 기타 주요 기업 및 혁신 기업

  • Cisco Systems Inc.
  • Oracle Corporation
  • General Electric Company
  • Honeywell International Inc.
  • SAP SE
  • Tata Consultancy Services Limited
  • NVIDIA Corporation
  • Infosys Limited
  • Wipro Limited
  • Rockwell Automation Inc.
  • Dassault Systemes SE
  • Hexagon AB
  • Ansys Inc.
  • DTIL
  • Schneider Electric SE

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

  • 물류용 디지털 트윈 시장(2029년) : 새로운 기회를 제공하는 국가
  • 물류용 디지털 트윈 시장(2029년) : 새로운 기회를 제공하는 부문
  • 물류용 디지털 트윈 시장(2029년) : 성장 전략
    • 시장 동향에 기초한 전략
    • 경쟁 전략

제36장 부록

KTH 25.12.26

Digital twin in logistics is a virtual representation of physical logistics assets, processes, or supply chain networks that continuously reflects real-world conditions using real-time data. These digital models enable companies to simulate, monitor, and enhance operations across supply chains, warehouses, fleets, and distribution networks. It helps optimize operations, improve visibility, and support predictive decision-making for transportation, warehousing, and inventory management.

The key components of digital twin in logistics are software, services, and platforms. Software refers to digital tools and applications designed to manage logistics operations, including transportation, warehousing, and supply chain visibility, through cloud infrastructure for improved scalability and real-time data access. These solutions are deployed across public cloud, private cloud, and hybrid cloud models, and cater to organizations of all sizes, including large enterprises and small and medium enterprises (SMEs). Key applications include route optimization, warehouse and inventory management, predictive maintenance, asset tracking, and others, serving end users across automotive, aerospace and defense, manufacturing, retail and e-commerce, energy and utilities, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The digital twin in logistics market research report is one of a series of new reports from The Business Research Company that provides digital twin in logistics market statistics, including digital twin in logistics industry global market size, regional shares, competitors with a digital twin in logistics market share, detailed digital twin in logistics market segments, market trends and opportunities, and any further data you may need to thrive in the digital twin in logistics industry. This digital twin in logistics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The digital twin in logistics market size has grown exponentially in recent years. It will grow from $2.77 billion in 2024 to $3.34 billion in 2025 at a compound annual growth rate (CAGR) of 20.5%. The growth in the historic period can be attributed to increasing use of real-time data analytics, rising demand for supply chain visibility, expanding warehouse automation, growing e-commerce logistics activities, rising focus on operational efficiency, and development of connected logistics infrastructure.

The digital twin in logistics market size is expected to see exponential growth in the next few years. It will grow to $6.95 billion in 2029 at a compound annual growth rate (CAGR) of 20.1%. The growth in the forecast period can be attributed to increasing investment in smart logistics solutions, rising adoption of predictive maintenance systems, expansion of autonomous and connected vehicle fleets, growing demand for sustainable logistics operations, and rising deployment of edge computing in logistics. Key trends in the forecast period include advancements in simulation and modeling technologies, innovations in AI-driven logistics analytics, development of interoperable digital twin ecosystems, research and development in virtual warehousing, and emergence of blockchain-enabled digital twins.

The rising e-commerce activities are expected to propel the growth of the digital twin in the logistics market going forward. E-commerce refers to the buying and selling of goods and services over the internet, where businesses and consumers conduct transactions online through websites or digital platforms. E-commerce activities are rising due to increasing internet accessibility and the convenience of shopping online from anywhere at any time. Digital twins in logistics support e-commerce by leveraging real-time data to optimize inventory, warehouse operations, and delivery processes for faster and more efficient order fulfillment. For instance, in 2024, according to the UK Business Data Survey published by the Department for Science, Innovation and Technology, around 1,540 out of 2,000 UK businesses handled digitized data, approximately 420 analyzed it for insights, and about 40 used it for AI or automated decision-making. Therefore, the rising use of digitized data is driving the growth of the digital twin in the logistics market.

Key companies operating in the digital twin in logistics market are focusing on developing advanced solutions, such as artificial intelligence-powered digital twin technologies, to enhance operational efficiency and real-time decision-making. Artificial intelligence-powered digital twin technologies refer to intelligent virtual replicas of physical systems that leverage AI, machine learning, and data analytics to simulate, predict, and optimize real-world operations in real time. For instance, in January 2025, Siemens AG, a Germany-based technology company, unveiled innovations in industrial AI and digital twin technology. This enables the creation of intelligent digital replicas of logistics and supply chain operations, allowing companies to design, test, and optimize warehouse workflows, fleet routes, and manufacturing processes virtually before implementing changes in the real world. It provides real-time insights into system performance, predictive maintenance capabilities, and process optimization, reducing downtime and improving efficiency. The industrial AI-powered digital twin enhances operational visibility, supports sustainable logistics practices, and enables businesses to achieve greater agility and productivity.

In May 2025, Vanderlande Industries B.V., a Netherlands-based material handling and logistics automation company, acquired Siemens Logistics GmbH for an undisclosed amount. Through this acquisition, Vanderlande Industries B.V. aims to strengthen its logistics automation capabilities by integrating Siemens Logistics GmbH's advanced technologies, enhancing its portfolio of digital twin-enabled, data-driven logistics solutions for intelligent, end-to-end automation. Siemens Logistics GmbH is a Germany-based provider of digital twin-driven logistics automation solutions.

Major players in the digital twin in logistics market are Amazon Web Services Inc., Microsoft Corporation, Robert Bosch GmbH, Accenture plc., International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, General Electric Company, Honeywell International Inc., SAP SE, Tata Consultancy Services Limited, NVIDIA Corporation, Infosys Limited, Wipro Limited, Rockwell Automation Inc., Dassault Systemes SE, Hexagon AB, Ansys Inc., PTC Inc., Schneider Electric S.E., and Bentley Systems Incorporated.

North America was the largest region in the digital twin in logistics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in digital twin in logistics report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the digital twin in logistics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The digital twin in logistics market consists of revenues earned by entities by providing services such as real-time simulation, process optimization, asset monitoring, supply chain visualization, and performance forecasting. The market value includes the value of related goods sold by the service provider or included within the service offering. The digital twin in logistics market also includes sales of data integration tools, simulation and modeling systems, and analytics dashboards. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Digital Twin In Logistics Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on digital twin in logistics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

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  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
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Where is the largest and fastest growing market for digital twin in logistics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The digital twin in logistics market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Software; Services; Platforms
  • 2) By Deployment Model: Public Cloud; Private Cloud; Hybrid Cloud
  • 3) By Organization Size: Large Enterprises; Small And Medium Enterprises
  • 4) By Application: Route Optimization; Warehouse And Inventory Management; Predictive Maintenance; Asset Tracking; Other Applications
  • 5) By End User: Automotive; Aerospace And defense; Manufacturing; Retail And E-commerce; Energy And utilities; Other End Users
  • Subsegments:
  • 1) By Software: Simulation Software; Predictive Analytics Software; 3D Modeling Software; Data Integration Software; Asset Performance Management Software; Process Automation Software
  • 2) By Services: Consulting Services; Implementation Services; Integration Services; Support And Maintenance Services; Training And Education Services; Managed Services
  • 3) By Platforms: Cloud-Based Platforms; On-Premises Platforms; Hybrid Platforms; Internet Of Things Platforms; Artificial Intelligence Platforms; Edge Computing Platforms
  • Companies Mentioned: Amazon Web Services Inc.; Microsoft Corporation; Robert Bosch GmbH; Accenture plc.; International Business Machines Corporation; Cisco Systems Inc.; Oracle Corporation; General Electric Company; Honeywell International Inc.; SAP SE; Tata Consultancy Services Limited; NVIDIA Corporation; Infosys Limited; Wipro Limited; Rockwell Automation Inc.; Dassault Systemes SE; Hexagon AB; Ansys Inc.; PTC Inc.; Schneider Electric S.E.; Bentley Systems Incorporated
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Digital Twin In Logistics Market Characteristics

3. Digital Twin In Logistics Market Trends And Strategies

4. Digital Twin In Logistics Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Digital Twin In Logistics Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Digital Twin In Logistics PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Digital Twin In Logistics Market Growth Rate Analysis
  • 5.4. Global Digital Twin In Logistics Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Digital Twin In Logistics Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Digital Twin In Logistics Total Addressable Market (TAM)

6. Digital Twin In Logistics Market Segmentation

  • 6.1. Global Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Services
  • Platforms
  • 6.2. Global Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
  • 6.3. Global Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Large Enterprises
  • Small And Medium Enterprises
  • 6.4. Global Digital Twin In Logistics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Route Optimization
  • Warehouse And Inventory Management
  • Predictive Maintenance
  • Asset Tracking
  • Other Applications
  • 6.5. Global Digital Twin In Logistics Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Automotive
  • Aerospace And defense
  • Manufacturing
  • Retail And E-commerce
  • Energy And utilities
  • Other End Users
  • 6.6. Global Digital Twin In Logistics Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Simulation Software
  • Predictive Analytics Software
  • 3D Modeling Software
  • Data Integration Software
  • Asset Performance Management Software
  • Process Automation Software
  • 6.7. Global Digital Twin In Logistics Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Implementation Services
  • Integration Services
  • Support And Maintenance Services
  • Training And Education Services
  • Managed Services
  • 6.8. Global Digital Twin In Logistics Market, Sub-Segmentation Of Platforms, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud-Based Platforms
  • On-Premises Platforms
  • Hybrid Platforms
  • Internet Of Things Platforms
  • Artificial Intelligence Platforms
  • Edge Computing Platforms

7. Digital Twin In Logistics Market Regional And Country Analysis

  • 7.1. Global Digital Twin In Logistics Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Digital Twin In Logistics Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Digital Twin In Logistics Market

  • 8.1. Asia-Pacific Digital Twin In Logistics Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Digital Twin In Logistics Market

  • 9.1. China Digital Twin In Logistics Market Overview
  • 9.2. China Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Digital Twin In Logistics Market

  • 10.1. India Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Digital Twin In Logistics Market

  • 11.1. Japan Digital Twin In Logistics Market Overview
  • 11.2. Japan Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Digital Twin In Logistics Market

  • 12.1. Australia Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Digital Twin In Logistics Market

  • 13.1. Indonesia Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Digital Twin In Logistics Market

  • 14.1. South Korea Digital Twin In Logistics Market Overview
  • 14.2. South Korea Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Digital Twin In Logistics Market

  • 15.1. Western Europe Digital Twin In Logistics Market Overview
  • 15.2. Western Europe Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Digital Twin In Logistics Market

  • 16.1. UK Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Digital Twin In Logistics Market

  • 17.1. Germany Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Digital Twin In Logistics Market

  • 18.1. France Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Digital Twin In Logistics Market

  • 19.1. Italy Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Digital Twin In Logistics Market

  • 20.1. Spain Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Digital Twin In Logistics Market

  • 21.1. Eastern Europe Digital Twin In Logistics Market Overview
  • 21.2. Eastern Europe Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Digital Twin In Logistics Market

  • 22.1. Russia Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Digital Twin In Logistics Market

  • 23.1. North America Digital Twin In Logistics Market Overview
  • 23.2. North America Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Digital Twin In Logistics Market

  • 24.1. USA Digital Twin In Logistics Market Overview
  • 24.2. USA Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Digital Twin In Logistics Market

  • 25.1. Canada Digital Twin In Logistics Market Overview
  • 25.2. Canada Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Digital Twin In Logistics Market

  • 26.1. South America Digital Twin In Logistics Market Overview
  • 26.2. South America Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Digital Twin In Logistics Market

  • 27.1. Brazil Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Digital Twin In Logistics Market

  • 28.1. Middle East Digital Twin In Logistics Market Overview
  • 28.2. Middle East Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Digital Twin In Logistics Market

  • 29.1. Africa Digital Twin In Logistics Market Overview
  • 29.2. Africa Digital Twin In Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Digital Twin In Logistics Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Digital Twin In Logistics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Digital Twin In Logistics Market Competitive Landscape And Company Profiles

  • 30.1. Digital Twin In Logistics Market Competitive Landscape
  • 30.2. Digital Twin In Logistics Market Company Profiles
    • 30.2.1. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Robert Bosch GmbH Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Accenture plc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis

31. Digital Twin In Logistics Market Other Major And Innovative Companies

  • 31.1. Cisco Systems Inc.
  • 31.2. Oracle Corporation
  • 31.3. General Electric Company
  • 31.4. Honeywell International Inc.
  • 31.5. SAP SE
  • 31.6. Tata Consultancy Services Limited
  • 31.7. NVIDIA Corporation
  • 31.8. Infosys Limited
  • 31.9. Wipro Limited
  • 31.10. Rockwell Automation Inc.
  • 31.11. Dassault Systemes SE
  • 31.12. Hexagon AB
  • 31.13. Ansys Inc.
  • 31.14. DTIL
  • 31.15. Schneider Electric S.E.

32. Global Digital Twin In Logistics Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Digital Twin In Logistics Market

34. Recent Developments In The Digital Twin In Logistics Market

35. Digital Twin In Logistics Market High Potential Countries, Segments and Strategies

  • 35.1 Digital Twin In Logistics Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Digital Twin In Logistics Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Digital Twin In Logistics Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer
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