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세계의 소매업용 컴퓨터 비전 AI 시장 : 시장 규모, 점유율 및 동향 분석 - 용도별, 최종 용도별, 기술별, 전개 모드별, 지역별, 전망 및 장래 예측(2025-2032년)

Global Computer Vision AI in Retail Market Size, Share & Industry Analysis Report By Application, By End Use By Technology, By Deployment, By Regional Outlook and Forecast, 2025 - 2032

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 656 Pages | 배송안내 : 즉시배송

    
    
    



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

세계의 소매업용 컴퓨터 비전 AI 시장 규모는 예측 기간 동안 24.3%의 연평균 복합 성장률(CAGR)로 성장할 전망이며, 2032년까지 85억 8,000만 달러에 달할 것으로 예측됩니다.

주요 하이라이트 :

  • 북미의 소매업용 컴퓨터 비전 AI 시장은 2024년에 세계 시장을 독점했으며, 2024년에는 35.90%의 수익 점유율을 차지했습니다.
  • 미국의 소매업용 컴퓨터 비전 AI 시장은 북미에서 우위를 유지하며, 2032년까지 시장 규모가 19억 2,000만 달러에 달할 것으로 예측됩니다.
  • 다양한 용도 중에서 고객 경험 강화가 세계 시장을 독점했으며 2024년에는 수익 점유율의 26.49%를 차지했습니다.
  • 최종 용도별로는 슈퍼마켓 하이퍼마켓 부문이 2032년에 33.44%의 수익 점유율을 획득하여 세계 시장을 독점할 것으로 예측되고 있습니다.
  • 물체 검출 및 추적은 2024년에 기술 부문을 선도하였고, 28.42%의 수익 점유율을 획득하였으며, 예측 기간 동안에도 그 우위성을 유지할 것으로 예측되고 있습니다.

최근 소매업용 컴퓨터 비전 AI 시장은 스마트 소매 인프라의 주요 구성 요소로 발전했습니다. AI 통합을 통해 컴퓨터 비전의 역할을 확대하고 분석, 자동화 및 고객 경험 향상을 위한 시각적 데이터를 실시간으로 해석할 수 있게 되었습니다. 처음에는 도난 방지에 국한되었지만 IoT, 엣지 컴퓨팅, 딥러닝의 발전으로 소매업체는 행동 추적, 금전 등록기 체크 아웃, 재고 관리 등의 용도에 실시간으로 저지연 시각 인텔리전스를 통합할 수 있게 되었습니다. 이러한 혁신은 시각 데이터를 비즈니스 효율성 향상, 실행 가능한 인사이트, 맞춤화 강화, 손실 감소로 전환했습니다. 오늘날 컴퓨터 비전 AI는 디지털 소매 환경에서 원활한 옴니 채널 경험, 자율적 매장 및 예측 분석을 제공하여 스마트 소매 사업을 지원합니다.

AI 소매 시장의 컴퓨터 비전은 비전 인텔리전스를 자율 소매 시스템에 통합하고, 비주얼 기술과 디지털 상거래를 결합하고, 하이브리드 AI 모델을 채택함으로써 성장하고 있습니다. 소매업체는 매장 내 처리의 안전성과 가속화를 위해 엣지 컴퓨팅을 통합하는 반면, 디지털 사이니지와 로봇 및 컴퓨터 비전의 도입으로 소매 오케스트레이션의 자동화와 사전 능동적인 대응이 가능합니다. 시장 기업은 컴플라이언스와 투명성을 보장하기 위해 내부 AI 개발, 파일럿 기반 스케일링, 전략적 파트너십 및 윤리적 AI 실천에 중점을 둔 전략을 추구하고 있습니다. AI 소매 시장에서의 컴퓨터 비전은 선도적인 기술 기업, 데이터 구동 소매업체, 민첩한 스타트업 기업이 확장 가능하고 혁신적인 비전 솔루션을 제공하기 위해 격렬한 경쟁을 목표로 하고 있습니다. 이러한 진보로 컴퓨터 비전 AI는 세계 소매업체가 고객 참여도를 높이고, 성능을 최적화하며, 업무를 관리하는 방식을 바꾸는 변혁력으로 자리매김하고 있습니다.

KBV Cardinal matrix에 제시된 분석을 바탕으로 Google LLC, Microsoft Corporation, NVIDIA Corporation, Amazon Web Services, Inc.는 소매업용 컴퓨터 비전 AI 시장의 선구자입니다. Oracle Corporation 및 IBM Corporation과 같은 기업은 소매업용 컴퓨터 비전 AI 시장의 주요 혁신자입니다. 2025년 6월 Google LLC와 Everseen은 Vision AI를 사용하여 물리적 소매 업무를 강화하기 위해 제휴했습니다. 이 협업은 실시간 비디오 분석을 통합하여 수축을 줄이고 인벤토리를 최적화하고 고객 경험을 개선하며 Google Cloud 마켓플레이스를 통해 확장 가능한 AI 기반 솔루션을 제공하며 국제 소매 변화를 실현합니다.

COVID-19의 영향 분석

COVID-19 팬데믹은 소매업체가 비접촉적이고 안전하고 효율적인 업무 운영을 모색하면서 소매 업계에서 컴퓨터 비전 AI의 도입을 현저하게 가속화했습니다. AI를 활용한 시스템은 소셜 디스턴스, 마스크 착용 준수, 수용 인원수 제한의 감시에 활용되어 안전성과 업무 연속성을 확보했습니다. 소매업체는 금전 등록기 체크 아웃, 스마트 선반, 시각적 상품 인식 등의 기술을 도입하여 편의성 향상 및 사람과의 접촉 삭감을 실현했습니다. 또한 컴퓨터 비전은 공급망의 혼란 속에서 재고 추적, 물류 및 수요 예측을 개선했습니다. 전자상거래와의 통합을 통해 비주얼 검색, 가상 시착, 개인화된 추천이 가능해졌으며, 컴퓨터 비전은 유통 후 소매업의 혁신과 효율화를 추진하는 중요한 추진력으로 확고한 지위를 구축했습니다. 이와 같이 COVID-19 팬데믹은 시장에 긍정적인 영향을 미쳤습니다.

용도별 전망

용도별로 볼 때 소매업용 컴퓨터 비전 AI 시장은 고객 경험 향상, 재고 관리, 계산대 및 결제, 마케팅 및 머천다이징, 업무 최적화 등을 특징으로 합니다. 재고 관리 부문은 2024년 소매업용 컴퓨터 비전 AI 시장의 수익 점유율의 22%를 차지했습니다. 소매업체가 재고 모니터링 및 보충의 정확성과 효율성을 높이기 위해 재고 관리 부문에서 컴퓨터 비전 AI를 도입하고 있습니다. 비전 지원 시스템은 상품의 재고 상태를 추적하고, 잊어버린 것을 감지하며, 재고 부족을 방지하는 데 사용됩니다. 자동 선반 스캔과 스마트 카메라를 사용하면 매장 재고를 지속적으로 모니터링하여 인적 실수 및 운영 비용을 줄일 수 있습니다.

최종 용도별 전망

최종 용도에 따라 소매업용 컴퓨터 비전 AI 시장은 슈퍼마켓 및 하이퍼마켓, 편의점, 전자상거래 창고, 전문점, 빠른 서비스 레스토랑(QSR) 등으로 분류됩니다. 편의점 부문은 2024년 소매업용 컴퓨터 비전 AI 시장의 18% 수익 점유율을 기록했습니다. 편의점에서는 속도, 자동화 및 개인화된 서비스를 개선하기 위해 컴퓨터 비전 AI가 도입되었습니다. 소규모 매장 형태는 보행자의 움직임을 모니터링하고, 상품의 상호작용을 분석하며, 부드러운 체크아웃을 가능하게 하는 지능형 카메라와 센서로부터 큰 이점을 제공합니다. AI 구동형 비전 시스템은 매장 운영자가 재고를 실시간으로 추적하고 공간 활용도를 최적화하는 데 도움이 되며, 보다 신속한 보충 및 상품 재고 상태 향상을 실현합니다.

지역별 전망

지역별로 보면 소매업용 컴퓨터 비전 AI 시장은 북미, 유럽, 아시아태평양, LAMEA에서 분석되고 있습니다. 북미 부문은 2024년 소매업용 컴퓨터 비전 AI 시장에서 가장 큰 수익 점유율의 36%를 기록했습니다. A 소매업용 컴퓨터 비전 AI 시장은 북미와 유럽에서 크게 성장할 것으로 예측됩니다. 시장 성장은 첨단 소매 인프라, 조기 기술 채택, 분석 및 자동화에 대한 강력한 투자에 의해 지원되고 있습니다. 북미에서는 아마존과 월마트와 같은 주요 소매업체가 선반 모니터링, 고객 행동 분석, 계산대 체크 아웃 등 AI 주도 매장 운영에서 혁신을 일으키고 있습니다. 이 지역은 데이터 중심의 의사 결정, 확립된 클라우드 에코시스템, 선도적인 AI 기업의 존재를 중시하고 있으며, 비전 기반 소매 솔루션의 신속한 통합을 지원합니다. 또한 GDPR(EU 개인정보보호규정)과 같은 규제 프레임워크 하에서 지속가능성, 윤리적 인공지능, 데이터 프라이버시를 중시함으로써 책임있는 구현이 촉진됩니다. 독일, 프랑스, 영국 등 유럽 국가의 소매업체는 소매 체인과 기술 제공업체 간의 강력한 협력에 힘입어 플라노그램 규정 준수, 옴니채널 참여 및 손실 방지를 위한 AI 비전을 도입하고 있습니다.

LAMEA와 아시아태평양에서는 소매업체가 변화하는 업무 과제와 소비자 수요에 대응하기 위해 AI 비전을 채택하고 있기 때문에 소매업용 컴퓨터 비전 AI 시장은 성장 기회가 될 것으로 예측됩니다. 아시아태평양에서는 일본, 중국, 인도, 한국 등의 국가에서 소매 네트워크의 확대, 디지털화의 진전, 스마트 시티 이니셔티브에 의해 AI 기반 비주얼 분석의 채용이 급증하고 있습니다. 지역 기술 에코시스템과 정부가 지원하는 AI 혁신은 실시간 인사이트를 위한 엣지 컴퓨팅 및 모바일 기반의 비주얼 솔루션에 중점을 두어 더욱 확대되고 있습니다. 또한 LAMEA 지역에서는 소매 근대화에 대한 투자 증가와 세계 기술 제공업체와의 협업에 힘입어 시장이 확대되고 있습니다. 사우디아라비아, 브라질, UAE 소매업체는 디지털 변환을 지원하기 위해 대기열 관리, 고객 참여, 재고 추적에 컴퓨터 비전을 통합하여 장기 성장 기회가 되었습니다.

목차

제1장 시장의 범위 및 분석 수법

  • 시장 정의
  • 목적
  • 시장 범위
  • 세분화
  • 분석 방법

제2장 시장 개관

  • 주요 하이라이트

제3장 시장 개요

  • 서문
    • 개요
      • 시장 구성 및 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장 과제

제4장 시장 동향 : 소매업용 컴퓨터 비전 AI 시장

제5장 경쟁 구도 : 소매업용 컴퓨터 비전 AI 시장

제6장 밸류체인 분석 : 소매업용 컴퓨터 비전 AI 시장

제7장 제품 수명주기(PLC) : 소매업용 컴퓨터 비전 AI 시장

제8장 시장 통합 : 소매업용 컴퓨터 비전 AI 시장

제9장 주요 고객 기준 : 소매업용 컴퓨터 비전 AI 시장

제10장 경쟁 분석 : 세계 시장

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 전개
    • 사업 제휴 및 협력, 계약
    • 제품 발매 및 확대
    • 기업 합병 및 인수(M&A)
  • 시장 점유율 분석(2024년)
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 움직임
  • Porter's Five Forces 분석

제11장 세계의 소매업용 컴퓨터 비전 AI 시장 : 용도별

  • 세계의 고객 경험 향상 시장 : 지역별
  • 세계의 재고 관리 시장 : 지역별
  • 세계의 금전 등록기 및 결제 시장 : 지역별
  • 세계의 마케팅 및 머천다이징 시장 : 지역별
  • 세계의 운용 최적화 시장 : 지역별

제12장 세계의 소매업용 컴퓨터 비전 AI 시장 : 최종 용도별

  • 세계의 슈퍼마켓 및 하이퍼마켓 시장 : 지역별
  • 세계의 편의점 시장 : 지역별
  • 세계의 전자상거래 및 창고 시장 : 지역별
  • 세계의 전문점 시장 : 지역별
  • 세계의 퀵 서비스 레스토랑(QSR) 시장 : 지역별
  • 세계의 다른 최종 용도 시장 : 지역별

제13장 세계의 소매업용 컴퓨터 비전 AI 시장 : 기술별

  • 세계의 물체 검출 및 추적 시장 : 지역별
  • 세계의 얼굴 인식 시장 : 지역별
  • 세계의 제스처 인식 시장 : 지역별
  • 세계의 영상 인식 시장 : 지역별
  • 세계의 광학식 문자 인식(OCR) 시장 : 지역별

제14장 세계의 소매업용 컴퓨터 비전 AI 시장 : 전개 모드별

  • 세계의 온프레미스 시장 : 지역별
  • 세계의 클라우드 기반 시장 : 지역별
  • 세계의 엣지 컴퓨팅 시장 : 지역별

제15장 세계의 소매업용 컴퓨터 비전 AI 시장 : 지역별

  • 북미
  • 시장에 영향을 미치는 주요 요인
    • 북미 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미
  • 유럽
  • 시장에 영향을 미치는 주요 요인
    • 유럽 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽
  • 아시아태평양
  • 시장에 영향을 미치는 주요 요인
    • 아시아태평양 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 싱가포르
      • 말레이시아
      • 기타 아시아태평양
  • 유럽, 중동 및 아프리카(EMEA)
  • 시장에 영향을 미치는 주요 요인
    • 라틴아메리카, 중동 및 아프리카 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트(UAE)
      • 사우디아라비아
      • 남아프리카
      • 나이지리아
      • 기타 라틴아메리카, 중동 및 아프리카

제16장 기업 프로파일

  • Intel Corporation
  • Amazon Web Services, Inc(Amazon.com, Inc.)
  • Google LLC
  • IBM Corporation
  • Basler AG
  • Microsoft Corporation
  • NVIDIA Corporation
  • Cognex Corporation
  • Oracle Corporation
  • Clarifai, Inc

제17장 소매업용 컴퓨터 비전 AI 시장의 성공 필수 조건

AJY 25.12.12

The Global Computer Vision AI in Retail Market size is expected to reach USD 8.58 billion by 2032, rising at a market growth of 24.3% CAGR during the forecast period.

Key Highlights:

  • The North America Computer Vision AI in Retail market dominated the Global Market in 2024, accounting for a 35.90% revenue share in 2024.
  • The US Computer Vision AI in Retail market is expected to continue its dominance in North America region thereby reaching a market size of 1.92 billion by 2032.
  • Among the various Application segments, Customer Experience Enhancement dominated the global market contributing a revenue share of 26.49% in 2024.
  • In terms of end use segmentation, the Supermarkets & Hypermarkets segment is projected to dominate the global market with the projected revenue share of 33.44% in 2032.
  • Object Detection & Tracking led the technology segments in 2024, capturing a 28.42% revenue share and is projected to continue its dominance during projected period.

Recently, the computer vision in AI retail market has developed into a key component of smart retail infrastructure. Computer vision's role has expanded with AI integration enabling real-time interpretation of visual data for analytics, automation and enhancing customer experience, which initially was limited to theft prevention. Advancements in IoT, edge computing and deep learning allow retailers to integrate real-time, low-latency visual intelligence for applications like behaviour tracking, cashierless checkout, and inventory management. These innovations transformed visual data into driving operational efficiency, actionable insights, enhancing customization, and reducing losses. Nowadays, computer vision AI supports smart retail operations, by serving seamless omnichannel experiences, autonomous stores, and predictive analytics within digital retail environments.

The computer vision in AI retail market is growing driven by the integration of vision intelligence into autonomous retail systems, the combination of visual technologies with digital commerce, and the adoption of hybrid AI models. Retailers are integrating edge computing for more secure and faster in-store processing, while computer vision's deployment with digital signage and robotics is allowing automated retail orchestration, and proactive. Market players are pursuing strategies focused on in-house AI development, pilot-based scaling, strategic partnerships, and ethical AI practices to assure compliances, and transparency. Computer vision in AI retail market is witnessing intensive competition with major tech companies, data-driven retailers, and agile startups competing to offer scalable and innovative vision solutions. Altogether, these advancements position computer vision AI as a shifting force reshaping how global retailers increase engagement in customers, optimize performance and manage operations.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In June 2025, NVIDIA Corporation came into partnership with L'Oreal, LVMH, and Nestle to transform retail operations using AI-powered digital twins and generative tools, enhancing product design, marketing, and logistics efficiency, with additional support from Accenture and Microsoft Azure. Additionally, In May, 2025, Cognex Corporation and IMA E-COMMERCE partnered to enhance sustainable and efficient order fulfillment using AI-powered vision systems and barcode readers. This collaboration enables accurate packaging, reduces waste, supports automation, and meets eco-friendly demands in the evolving retail and e-commerce logistics sector.

Based on the Analysis presented in the KBV Cardinal matrix; Google LLC, Microsoft Corporation, NVIDIA Corporation and Amazon Web Services, Inc. are the forerunners in the Computer Vision AI in Retail Market. Companies such as Oracle Corporation and IBM Corporation are some of the key innovators in Computer Vision AI in Retail Market. In June, 2025, Google LLC and Everseen partnered to enhance physical retail operations using Vision AI. The collaboration integrates real-time video analytics to reduce shrink, optimize inventory, and improve customer experience, offering scalable, AI-powered solutions via Google Cloud Marketplace for global retail transformation.

COVID 19 Impact Analysis

The COVID-19 pandemic significantly accelerated the adoption of computer vision AI in the retail industry as retailers sought contactless, safe, and efficient operations. AI-driven systems were deployed to monitor social distancing, mask compliance, and occupancy limits, ensuring safety and operational continuity. Retailers embraced technologies like cashier-less checkouts, smart shelves, and visual product recognition to enhance convenience and reduce human contact. Additionally, computer vision improved inventory tracking, logistics, and demand forecasting amid supply chain disruptions. Its integration into e-commerce enabled visual search, virtual try-ons, and personalized recommendations, solidifying computer vision as a key driver of post-pandemic retail innovation and efficiency. Thus, the COVID-19 pandemic had a positive impact on the market.

Application Outlook

Based on application, the computer vision AI in retail market is characterized into customer experience enhancement, inventory management, checkout & payments, marketing & merchandising, and operations optimization. The inventory management segment attained 22% revenue share in the computer vision AI in retail market in 2024. The inventory management segment has seen strong adoption of computer vision AI as retailers strive to achieve higher accuracy and efficiency in stock monitoring and replenishment. Vision-enabled systems are used to track product availability, detect misplaced items, and prevent out-of-stock situations. Automated shelf scanning and smart cameras allow for continuous oversight of store inventory, reducing human error and operational costs.

End Use Outlook

On the basis of end use, the computer vision AI in retail market is classified into supermarkets & hypermarkets, convenience stores, e-commerce warehouses, specialty stores, quick-service restaurants (QSR), and others. The convenience stores segment recorded 18% revenue share in the computer vision AI in retail market in 2024. In convenience stores, computer vision AI is being adopted to enhance speed, automation, and personalized service. Smaller store formats benefit greatly from intelligent cameras and sensors that monitor foot traffic, analyze product interactions, and enable frictionless checkout. AI-driven vision systems help store operators track inventory in real time and optimize space utilization, allowing for faster restocking and improved product availability.

Regional Outlook

Region-wise, the Computer Vision AI in Retail Market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 36% the largest revenue share in the computer vision AI in Retail Market in 2024. The computer vision in AI retail market is anticipated to grow at a significant rate in North America and Europe. The market growth is backed by advanced retail infrastructure, early technology adoption, and strong investment in analytics and automation. In North America, major retailers like Amazon and Walmart are innovating with AI-driven store operations, including shelf monitoring, customer behaviour analytics, and cashierless checkouts. The region's emphasis on data-driven decision-making, well-established cloud ecosystem, and presence of leading AI firms support the rapid integration of vision-based retail solutions. Additionally, emphasis on sustainability, ethical AI, and data privacy under regulatory frameworks such as GDPR encourage responsible implementation. Retailers across European nations like Germany, France, and the UK are deploying AI vision for planogram compliance, omnichannel engagement, and loss prevention, supported by strong collaboration among retail chains and technology providers.

In the LAMEA and Asia Pacific region, the computer vision in the AI retail market is estimated to represent growth opportunities as retailers are embracing AI vision to cater to evolving operational challenges and consumer demands. In the Asia Pacific, expanding retail networks, increasing digitalization, and smart city initiatives in nations such as Japan, China, India, and South Korea are surging large adoption of AI-based visual analytics. Regional tech ecosystems and government supported AI innovation further result in expansion with a focus on edge computing for real time insights, and mobile based visual solutions. Furthermore, the LAMEA region is experiencing market expansion supported by the increasing investments in retail modernization and collaborations with global technology providers. Retailers in Saudi Arabia, Brazil, and the UAE are integrating computer vision for queue management, customer engagement, and inventory tracking to support digital transformation, thereby representing long-term growth opportunities.

Recent Strategies Deployed in the Market

  • Jun-2025: Cognex launched OneVision, a cloud-based platform for scalable AI-powered machine vision. It simplifies application development, reduces costs, and unifies tools across locations, enabling faster deployment and improved performance-helping manufacturers and retailers automate and optimize operations efficiently and reliably.
  • Jun-2025: Google LLC and Everseen partnered to enhance physical retail operations using Vision AI. The collaboration integrates real-time video analytics to reduce shrink, optimize inventory, and improve customer experience, offering scalable, AI-powered solutions via Google Cloud Marketplace for global retail transformation.
  • Jun-2025: Amazon Web Services, Inc. and Walmart are transforming into tech-driven ecosystems, embedding AI, robotics, and cloud computing into retail operations. Amazon focuses on logistics and AI-enhanced services, while Walmart expands into FinTech and AI assistants to attract Gen Z and boost retail intelligence.
  • Apr-2025: Intel Corporation partnered with Network Optix to optimize video management using Core Ultra processors, enabling real-time edge AI analytics for industries including retail, where surveillance and operational efficiency benefit from faster, scalable, and on-premises computer vision capabilities.
  • Mar-2025: Oracle Corporation and NVIDIA partnered to integrate NVIDIA AI Enterprise and OCI, enabling enterprises to build agentic AI applications using 160+ AI tools and 100+ NIM microservices. The collaboration enhances AI development across industries but excludes retail computer vision.

List of Key Companies Profiled

  • Intel Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC
  • IBM Corporation
  • Basler AG
  • Microsoft Corporation
  • NVIDIA Corporation
  • Cognex Corporation
  • Oracle Corporation
  • Clarifai, Inc.

Global Computer Vision AI in Retail Market Report Segmentation

By Application

  • Customer Experience Enhancement
  • Inventory Management
  • Checkout and Payments
  • Marketing & Merchandising
  • Operations Optimization

By End Use

  • Supermarkets & Hypermarkets
  • Convenience Stores
  • E-commerce Warehouses
  • Specialty Stores
  • Quick-Service Restaurants (QSR)
  • Other End Use

By Technology

  • Object Detection & Tracking
  • Facial Recognition
  • Gesture Recognition
  • Image Recognition
  • Optical Character Recognition (OCR)

By Deployment

  • On-premises
  • Cloud-Based
  • Edge Computing

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Computer Vision AI in Retail Market, by Application
    • 1.4.2 Global Computer Vision AI in Retail Market, by End Use
    • 1.4.3 Global Computer Vision AI in Retail Market, by Technology
    • 1.4.4 Global Computer Vision AI in Retail Market, by Deployment
    • 1.4.5 Global Computer Vision AI in Retail Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Market Trends - Computer Vision AI in Retail Market

Chapter 5. State of Competition - Computer Vision AI in Retail Market

Chapter 6. Value Chain Analysis of Computer Vision AI in Retail Market

Chapter 7. Product Life Cycle - Computer Vision AI in Retail Market

Chapter 8. Market Consolidation - Computer Vision AI in Retail Market

Chapter 9. Key Customer Criteria - Computer Vision AI in Retail Market

Chapter 10. Competition Analysis - Global

  • 10.1 KBV Cardinal Matrix
  • 10.2 Recent Industry Wide Strategic Developments
    • 10.2.1 Partnerships, Collaborations and Agreements
    • 10.2.2 Product Launches and Product Expansions
  • 10.3 Market Share Analysis, 2024
  • 10.4 Top Winning Strategies
    • 10.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
    • 10.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2021, May - 2025, Jun) Leading Players
  • 10.5 Porter Five Forces Analysis

Chapter 11. Global Computer Vision AI in Retail Market by Application

  • 11.1 Global Customer Experience Enhancement Market by Region
  • 11.2 Global Inventory Management Market by Region
  • 11.3 Global Checkout and Payments Market by Region
  • 11.4 Global Marketing & Merchandising Market by Region
  • 11.5 Global Operations Optimization Market by Region

Chapter 12. Global Computer Vision AI in Retail Market by End Use

  • 12.1 Global Supermarkets & Hypermarkets Market by Region
  • 12.2 Global Convenience Stores Market by Region
  • 12.3 Global E-commerce Warehouses Market by Region
  • 12.4 Global Specialty Stores Market by Region
  • 12.5 Global Quick-Service Restaurants (QSR) Market by Region
  • 12.6 Global Other End Use Market by Region

Chapter 13. Global Computer Vision AI in Retail Market by Technology

  • 13.1 Global Object Detection & Tracking Market by Region
  • 13.2 Global Facial Recognition Market by Region
  • 13.3 Global Gesture Recognition Market by Region
  • 13.4 Global Image Recognition Market by Region
  • 13.5 Global Optical Character Recognition (OCR) Market by Region

Chapter 14. Global Computer Vision AI in Retail Market by Deployment

  • 14.1 Global On-premises Market by Region
  • 14.2 Global Cloud-Based Market by Region
  • 14.3 Global Edge Computing Market by Region

Chapter 15. Global Computer Vision AI in Retail Market by Region

  • 15.1 North America Computer Vision AI in Retail Market
  • 15.2 Key Factors Impacting the Market
    • 15.2.1 Market Drivers
    • 15.2.2 Market Restraints
    • 15.2.3 Market Opportunities
    • 15.2.4 Market Challenges
    • 15.2.5 Market Trends - North America Computer Vision AI in Retail Market
    • 15.2.6 State of Competition - North America Computer Vision AI in Retail Market
    • 15.2.7 North America Computer Vision AI in Retail Market by Application
      • 15.2.7.1 North America Customer Experience Enhancement Market by Region
      • 15.2.7.2 North America Inventory Management Market by Region
      • 15.2.7.3 North America Checkout and Payments Market by Region
      • 15.2.7.4 North America Marketing & Merchandising Market by Region
      • 15.2.7.5 North America Operations Optimization Market by Region
    • 15.2.8 North America Computer Vision AI in Retail Market by End Use
      • 15.2.8.1 North America Supermarkets & Hypermarkets Market by Country
      • 15.2.8.2 North America Convenience Stores Market by Country
      • 15.2.8.3 North America E-commerce Warehouses Market by Country
      • 15.2.8.4 North America Specialty Stores Market by Country
      • 15.2.8.5 North America Quick-Service Restaurants (QSR) Market by Country
      • 15.2.8.6 North America Other End Use Market by Country
    • 15.2.9 North America Computer Vision AI in Retail Market by Technology
      • 15.2.9.1 North America Object Detection & Tracking Market by Country
      • 15.2.9.2 North America Facial Recognition Market by Country
      • 15.2.9.3 North America Gesture Recognition Market by Country
      • 15.2.9.4 North America Image Recognition Market by Country
      • 15.2.9.5 North America Optical Character Recognition (OCR) Market by Country
    • 15.2.10 North America Computer Vision AI in Retail Market by Deployment
      • 15.2.10.1 North America On-premises Market by Country
      • 15.2.10.2 North America Cloud-Based Market by Country
      • 15.2.10.3 North America Edge Computing Market by Country
    • 15.2.11 North America Computer Vision AI in Retail Market by Country
      • 15.2.11.1 US Computer Vision AI in Retail Market
        • 15.2.11.1.1 US Computer Vision AI in Retail Market by Application
        • 15.2.11.1.2 US Computer Vision AI in Retail Market by End Use
        • 15.2.11.1.3 US Computer Vision AI in Retail Market by Technology
        • 15.2.11.1.4 US Computer Vision AI in Retail Market by Deployment
      • 15.2.11.2 Canada Computer Vision AI in Retail Market
        • 15.2.11.2.1 Canada Computer Vision AI in Retail Market by Application
        • 15.2.11.2.2 Canada Computer Vision AI in Retail Market by End Use
        • 15.2.11.2.3 Canada Computer Vision AI in Retail Market by Technology
        • 15.2.11.2.4 Canada Computer Vision AI in Retail Market by Deployment
      • 15.2.11.3 Mexico Computer Vision AI in Retail Market
        • 15.2.11.3.1 Mexico Computer Vision AI in Retail Market by Application
        • 15.2.11.3.2 Mexico Computer Vision AI in Retail Market by End Use
        • 15.2.11.3.3 Mexico Computer Vision AI in Retail Market by Technology
        • 15.2.11.3.4 Mexico Computer Vision AI in Retail Market by Deployment
      • 15.2.11.4 Rest of North America Computer Vision AI in Retail Market
        • 15.2.11.4.1 Rest of North America Computer Vision AI in Retail Market by Application
        • 15.2.11.4.2 Rest of North America Computer Vision AI in Retail Market by End Use
        • 15.2.11.4.3 Rest of North America Computer Vision AI in Retail Market by Technology
        • 15.2.11.4.4 Rest of North America Computer Vision AI in Retail Market by Deployment
  • 15.3 Europe Computer Vision AI in Retail Market
  • 15.4 Key Factors Impacting the Market
    • 15.4.1 Market Drivers
    • 15.4.2 Market Restraints
    • 15.4.3 Market Opportunities
    • 15.4.4 Market Challenges
    • 15.4.5 Market Trends - Europe Computer Vision AI in Retail Market
    • 15.4.6 State of Competition - Europe Computer Vision AI in Retail Market
    • 15.4.7 Europe Computer Vision AI in Retail Market by Application
      • 15.4.7.1 Europe Customer Experience Enhancement Market by Country
      • 15.4.7.2 Europe Inventory Management Market by Country
      • 15.4.7.3 Europe Checkout and Payments Market by Country
      • 15.4.7.4 Europe Marketing & Merchandising Market by Country
      • 15.4.7.5 Europe Operations Optimization Market by Country
    • 15.4.8 Europe Computer Vision AI in Retail Market by End Use
      • 15.4.8.1 Europe Supermarkets & Hypermarkets Market by Country
      • 15.4.8.2 Europe Convenience Stores Market by Country
      • 15.4.8.3 Europe E-commerce Warehouses Market by Country
      • 15.4.8.4 Europe Specialty Stores Market by Country
      • 15.4.8.5 Europe Quick-Service Restaurants (QSR) Market by Country
      • 15.4.8.6 Europe Other End Use Market by Country
    • 15.4.9 Europe Computer Vision AI in Retail Market by Technology
      • 15.4.9.1 Europe Object Detection & Tracking Market by Country
      • 15.4.9.2 Europe Facial Recognition Market by Country
      • 15.4.9.3 Europe Gesture Recognition Market by Country
      • 15.4.9.4 Europe Image Recognition Market by Country
      • 15.4.9.5 Europe Optical Character Recognition (OCR) Market by Country
    • 15.4.10 Europe Computer Vision AI in Retail Market by Deployment
      • 15.4.10.1 Europe On-premises Market by Country
      • 15.4.10.2 Europe Cloud-Based Market by Country
      • 15.4.10.3 Europe Edge Computing Market by Country
    • 15.4.11 Europe Computer Vision AI in Retail Market by Country
      • 15.4.11.1 Germany Computer Vision AI in Retail Market
        • 15.4.11.1.1 Germany Computer Vision AI in Retail Market by Application
        • 15.4.11.1.2 Germany Computer Vision AI in Retail Market by End Use
        • 15.4.11.1.3 Germany Computer Vision AI in Retail Market by Technology
        • 15.4.11.1.4 Germany Computer Vision AI in Retail Market by Deployment
      • 15.4.11.2 UK Computer Vision AI in Retail Market
        • 15.4.11.2.1 UK Computer Vision AI in Retail Market by Application
        • 15.4.11.2.2 UK Computer Vision AI in Retail Market by End Use
        • 15.4.11.2.3 UK Computer Vision AI in Retail Market by Technology
        • 15.4.11.2.4 UK Computer Vision AI in Retail Market by Deployment
      • 15.4.11.3 France Computer Vision AI in Retail Market
        • 15.4.11.3.1 France Computer Vision AI in Retail Market by Application
        • 15.4.11.3.2 France Computer Vision AI in Retail Market by End Use
        • 15.4.11.3.3 France Computer Vision AI in Retail Market by Technology
        • 15.4.11.3.4 France Computer Vision AI in Retail Market by Deployment
      • 15.4.11.4 Russia Computer Vision AI in Retail Market
        • 15.4.11.4.1 Russia Computer Vision AI in Retail Market by Application
        • 15.4.11.4.2 Russia Computer Vision AI in Retail Market by End Use
        • 15.4.11.4.3 Russia Computer Vision AI in Retail Market by Technology
        • 15.4.11.4.4 Russia Computer Vision AI in Retail Market by Deployment
      • 15.4.11.5 Spain Computer Vision AI in Retail Market
        • 15.4.11.5.1 Spain Computer Vision AI in Retail Market by Application
        • 15.4.11.5.2 Spain Computer Vision AI in Retail Market by End Use
        • 15.4.11.5.3 Spain Computer Vision AI in Retail Market by Technology
        • 15.4.11.5.4 Spain Computer Vision AI in Retail Market by Deployment
      • 15.4.11.6 Italy Computer Vision AI in Retail Market
        • 15.4.11.6.1 Italy Computer Vision AI in Retail Market by Application
        • 15.4.11.6.2 Italy Computer Vision AI in Retail Market by End Use
        • 15.4.11.6.3 Italy Computer Vision AI in Retail Market by Technology
        • 15.4.11.6.4 Italy Computer Vision AI in Retail Market by Deployment
      • 15.4.11.7 Rest of Europe Computer Vision AI in Retail Market
        • 15.4.11.7.1 Rest of Europe Computer Vision AI in Retail Market by Application
        • 15.4.11.7.2 Rest of Europe Computer Vision AI in Retail Market by End Use
        • 15.4.11.7.3 Rest of Europe Computer Vision AI in Retail Market by Technology
        • 15.4.11.7.4 Rest of Europe Computer Vision AI in Retail Market by Deployment
  • 15.5 Asia Pacific Computer Vision AI in Retail Market
  • 15.6 Key Factors Impacting the Market
    • 15.6.1 Market Drivers
    • 15.6.2 Market Restraints
    • 15.6.3 Market Opportunities
    • 15.6.4 Market Challenges
    • 15.6.5 Market Trends - Asia Pacific Computer Vision AI in Retail Market
    • 15.6.6 State of Competition - Asia Pacific Computer Vision AI in Retail Market
    • 15.6.7 Asia Pacific Computer Vision AI in Retail Market by Application
      • 15.6.7.1 Asia Pacific Customer Experience Enhancement Market by Country
      • 15.6.7.2 Asia Pacific Inventory Management Market by Country
      • 15.6.7.3 Asia Pacific Checkout and Payments Market by Country
      • 15.6.7.4 Asia Pacific Marketing & Merchandising Market by Country
      • 15.6.7.5 Asia Pacific Operations Optimization Market by Country
    • 15.6.8 Asia Pacific Computer Vision AI in Retail Market by End Use
      • 15.6.8.1 Asia Pacific Supermarkets & Hypermarkets Market by Country
      • 15.6.8.2 Asia Pacific Convenience Stores Market by Country
      • 15.6.8.3 Asia Pacific E-commerce Warehouses Market by Country
      • 15.6.8.4 Asia Pacific Specialty Stores Market by Country
      • 15.6.8.5 Asia Pacific Quick-Service Restaurants (QSR) Market by Country
      • 15.6.8.6 Asia Pacific Other End Use Market by Country
    • 15.6.9 Asia Pacific Computer Vision AI in Retail Market by Technology
      • 15.6.9.1 Asia Pacific Object Detection & Tracking Market by Country
      • 15.6.9.2 Asia Pacific Facial Recognition Market by Country
      • 15.6.9.3 Asia Pacific Gesture Recognition Market by Country
      • 15.6.9.4 Asia Pacific Image Recognition Market by Country
      • 15.6.9.5 Asia Pacific Optical Character Recognition (OCR) Market by Country
    • 15.6.10 Asia Pacific Computer Vision AI in Retail Market by Deployment
      • 15.6.10.1 Asia Pacific On-premises Market by Country
      • 15.6.10.2 Asia Pacific Cloud-Based Market by Country
      • 15.6.10.3 Asia Pacific Edge Computing Market by Country
    • 15.6.11 Asia Pacific Computer Vision AI in Retail Market by Country
      • 15.6.11.1 China Computer Vision AI in Retail Market
        • 15.6.11.1.1 China Computer Vision AI in Retail Market by Application
        • 15.6.11.1.2 China Computer Vision AI in Retail Market by End Use
        • 15.6.11.1.3 China Computer Vision AI in Retail Market by Technology
        • 15.6.11.1.4 China Computer Vision AI in Retail Market by Deployment
      • 15.6.11.2 Japan Computer Vision AI in Retail Market
        • 15.6.11.2.1 Japan Computer Vision AI in Retail Market by Application
        • 15.6.11.2.2 Japan Computer Vision AI in Retail Market by End Use
        • 15.6.11.2.3 Japan Computer Vision AI in Retail Market by Technology
        • 15.6.11.2.4 Japan Computer Vision AI in Retail Market by Deployment
      • 15.6.11.3 India Computer Vision AI in Retail Market
        • 15.6.11.3.1 India Computer Vision AI in Retail Market by Application
        • 15.6.11.3.2 India Computer Vision AI in Retail Market by End Use
        • 15.6.11.3.3 India Computer Vision AI in Retail Market by Technology
        • 15.6.11.3.4 India Computer Vision AI in Retail Market by Deployment
      • 15.6.11.4 South Korea Computer Vision AI in Retail Market
        • 15.6.11.4.1 South Korea Computer Vision AI in Retail Market by Application
        • 15.6.11.4.2 South Korea Computer Vision AI in Retail Market by End Use
        • 15.6.11.4.3 South Korea Computer Vision AI in Retail Market by Technology
        • 15.6.11.4.4 South Korea Computer Vision AI in Retail Market by Deployment
      • 15.6.11.5 Singapore Computer Vision AI in Retail Market
        • 15.6.11.5.1 Singapore Computer Vision AI in Retail Market by Application
        • 15.6.11.5.2 Singapore Computer Vision AI in Retail Market by End Use
        • 15.6.11.5.3 Singapore Computer Vision AI in Retail Market by Technology
        • 15.6.11.5.4 Singapore Computer Vision AI in Retail Market by Deployment
      • 15.6.11.6 Malaysia Computer Vision AI in Retail Market
        • 15.6.11.6.1 Malaysia Computer Vision AI in Retail Market by Application
        • 15.6.11.6.2 Malaysia Computer Vision AI in Retail Market by End Use
        • 15.6.11.6.3 Malaysia Computer Vision AI in Retail Market by Technology
        • 15.6.11.6.4 Malaysia Computer Vision AI in Retail Market by Deployment
      • 15.6.11.7 Rest of Asia Pacific Computer Vision AI in Retail Market
        • 15.6.11.7.1 Rest of Asia Pacific Computer Vision AI in Retail Market by Application
        • 15.6.11.7.2 Rest of Asia Pacific Computer Vision AI in Retail Market by End Use
        • 15.6.11.7.3 Rest of Asia Pacific Computer Vision AI in Retail Market by Technology
        • 15.6.11.7.4 Rest of Asia Pacific Computer Vision AI in Retail Market by Deployment
  • 15.7 LAMEA Computer Vision AI in Retail Market
  • 15.8 Key Factors Impacting the Market
    • 15.8.1 Market Drivers
    • 15.8.2 Market Restraints
    • 15.8.3 Market Opportunities
    • 15.8.4 Market Challenges
    • 15.8.5 Market Trends - LAMEA Computer Vision AI in Retail Market
    • 15.8.6 State of Competition - LAMEA Computer Vision AI in Retail Market
    • 15.8.7 LAMEA Computer Vision AI in Retail Market by Application
      • 15.8.7.1 LAMEA Customer Experience Enhancement Market by Country
      • 15.8.7.2 LAMEA Inventory Management Market by Country
      • 15.8.7.3 LAMEA Checkout and Payments Market by Country
      • 15.8.7.4 LAMEA Marketing & Merchandising Market by Country
      • 15.8.7.5 LAMEA Operations Optimization Market by Country
    • 15.8.8 LAMEA Computer Vision AI in Retail Market by End Use
      • 15.8.8.1 LAMEA Supermarkets & Hypermarkets Market by Country
      • 15.8.8.2 LAMEA Convenience Stores Market by Country
      • 15.8.8.3 LAMEA E-commerce Warehouses Market by Country
      • 15.8.8.4 LAMEA Specialty Stores Market by Country
      • 15.8.8.5 LAMEA Quick-Service Restaurants (QSR) Market by Country
      • 15.8.8.6 LAMEA Other End Use Market by Country
    • 15.8.9 LAMEA Computer Vision AI in Retail Market by Technology
      • 15.8.9.1 LAMEA Object Detection & Tracking Market by Country
      • 15.8.9.2 LAMEA Facial Recognition Market by Country
      • 15.8.9.3 LAMEA Gesture Recognition Market by Country
      • 15.8.9.4 LAMEA Image Recognition Market by Country
      • 15.8.9.5 LAMEA Optical Character Recognition (OCR) Market by Country
    • 15.8.10 LAMEA Computer Vision AI in Retail Market by Deployment
      • 15.8.10.1 LAMEA On-premises Market by Country
      • 15.8.10.2 LAMEA Cloud-Based Market by Country
      • 15.8.10.3 LAMEA Edge Computing Market by Country
    • 15.8.11 LAMEA Computer Vision AI in Retail Market by Country
      • 15.8.11.1 Brazil Computer Vision AI in Retail Market
        • 15.8.11.1.1 Brazil Computer Vision AI in Retail Market by Application
        • 15.8.11.1.2 Brazil Computer Vision AI in Retail Market by End Use
        • 15.8.11.1.3 Brazil Computer Vision AI in Retail Market by Technology
        • 15.8.11.1.4 Brazil Computer Vision AI in Retail Market by Deployment
      • 15.8.11.2 Argentina Computer Vision AI in Retail Market
        • 15.8.11.2.1 Argentina Computer Vision AI in Retail Market by Application
        • 15.8.11.2.2 Argentina Computer Vision AI in Retail Market by End Use
        • 15.8.11.2.3 Argentina Computer Vision AI in Retail Market by Technology
        • 15.8.11.2.4 Argentina Computer Vision AI in Retail Market by Deployment
      • 15.8.11.3 UAE Computer Vision AI in Retail Market
        • 15.8.11.3.1 UAE Computer Vision AI in Retail Market by Application
        • 15.8.11.3.2 UAE Computer Vision AI in Retail Market by End Use
        • 15.8.11.3.3 UAE Computer Vision AI in Retail Market by Technology
        • 15.8.11.3.4 UAE Computer Vision AI in Retail Market by Deployment
      • 15.8.11.4 Saudi Arabia Computer Vision AI in Retail Market
        • 15.8.11.4.1 Saudi Arabia Computer Vision AI in Retail Market by Application
        • 15.8.11.4.2 Saudi Arabia Computer Vision AI in Retail Market by End Use
        • 15.8.11.4.3 Saudi Arabia Computer Vision AI in Retail Market by Technology
        • 15.8.11.4.4 Saudi Arabia Computer Vision AI in Retail Market by Deployment
      • 15.8.11.5 South Africa Computer Vision AI in Retail Market
        • 15.8.11.5.1 South Africa Computer Vision AI in Retail Market by Application
        • 15.8.11.5.2 South Africa Computer Vision AI in Retail Market by End Use
        • 15.8.11.5.3 South Africa Computer Vision AI in Retail Market by Technology
        • 15.8.11.5.4 South Africa Computer Vision AI in Retail Market by Deployment
      • 15.8.11.6 Nigeria Computer Vision AI in Retail Market
        • 15.8.11.6.1 Nigeria Computer Vision AI in Retail Market by Application
        • 15.8.11.6.2 Nigeria Computer Vision AI in Retail Market by End Use
        • 15.8.11.6.3 Nigeria Computer Vision AI in Retail Market by Technology
        • 15.8.11.6.4 Nigeria Computer Vision AI in Retail Market by Deployment
      • 15.8.11.7 Rest of LAMEA Computer Vision AI in Retail Market
        • 15.8.11.7.1 Rest of LAMEA Computer Vision AI in Retail Market by Application
        • 15.8.11.7.2 Rest of LAMEA Computer Vision AI in Retail Market by End Use
        • 15.8.11.7.3 Rest of LAMEA Computer Vision AI in Retail Market by Technology
        • 15.8.11.7.4 Rest of LAMEA Computer Vision AI in Retail Market by Deployment

Chapter 16. Company Profiles

  • 16.1 Intel Corporation
    • 16.1.1 Company Overview
    • 16.1.2 Financial Analysis
    • 16.1.3 Segmental and Regional Analysis
    • 16.1.4 Research & Development Expenses
    • 16.1.5 Recent strategies and developments:
      • 16.1.5.1 Partnerships, Collaborations, and Agreements:
      • 16.1.5.2 Product Launches and Product Expansions:
    • 16.1.6 SWOT Analysis
  • 16.2 Amazon Web Services, Inc. (Amazon.com, Inc.)
    • 16.2.1 Company Overview
    • 16.2.2 Financial Analysis
    • 16.2.3 Segmental and Regional Analysis
    • 16.2.4 Recent strategies and developments:
      • 16.2.4.1 Partnerships, Collaborations, and Agreements:
      • 16.2.4.2 Product Launches and Product Expansions:
    • 16.2.5 SWOT Analysis
  • 16.3 Google LLC
    • 16.3.1 Company Overview
    • 16.3.2 Financial Analysis
    • 16.3.3 Segmental and Regional Analysis
    • 16.3.4 Research & Development Expenses
    • 16.3.5 Recent strategies and developments:
      • 16.3.5.1 Partnerships, Collaborations, and Agreements:
    • 16.3.6 SWOT Analysis
  • 16.4 IBM Corporation
    • 16.4.1 Company Overview
    • 16.4.2 Financial Analysis
    • 16.4.3 Regional & Segmental Analysis
    • 16.4.4 Research & Development Expenses
    • 16.4.5 SWOT Analysis
  • 16.5 Basler AG
    • 16.5.1 Company Overview
    • 16.5.2 Financial Analysis
    • 16.5.3 Regional Analysis
    • 16.5.4 Research & Development Expenses
    • 16.5.5 Recent strategies and developments:
      • 16.5.5.1 Partnerships, Collaborations, and Agreements:
    • 16.5.6 SWOT Analysis
  • 16.6 Microsoft Corporation
    • 16.6.1 Company Overview
    • 16.6.2 Financial Analysis
    • 16.6.3 Segmental and Regional Analysis
    • 16.6.4 Research & Development Expenses
    • 16.6.5 SWOT Analysis
  • 16.7 NVIDIA Corporation
    • 16.7.1 Company Overview
    • 16.7.2 Financial Analysis
    • 16.7.3 Segmental and Regional Analysis
    • 16.7.4 Research & Development Expenses
    • 16.7.5 Recent strategies and developments:
      • 16.7.5.1 Partnerships, Collaborations, and Agreements:
    • 16.7.6 SWOT Analysis
  • 16.8 Cognex Corporation
    • 16.8.1 Company Overview
    • 16.8.2 Financial Analysis
    • 16.8.3 Regional Analysis
    • 16.8.4 Research & Development Expenses
    • 16.8.5 Recent strategies and developments:
      • 16.8.5.1 Partnerships, Collaborations, and Agreements:
      • 16.8.5.2 Product Launches and Product Expansions:
    • 16.8.6 SWOT Analysis
  • 16.9 Oracle Corporation
    • 16.9.1 Company Overview
    • 16.9.2 Financial Analysis
    • 16.9.3 Segmental and Regional Analysis
    • 16.9.4 Research & Development Expense
    • 16.9.5 SWOT Analysis
  • 16.10. Clarifai, Inc.
    • 16.10.1 Company Overview
    • 16.10.2 Recent strategies and developments:
      • 16.10.2.1 Partnerships, Collaborations, and Agreements:
    • 16.10.3 SWOT Analysis

Chapter 17. Winning Imperatives of Computer Vision AI in Retail Market

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