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세계의 매대 이미지 인식 AI 시장 보고서(2025년)
Shelf Image Recognition Artificial Intelligence Global Market Report 2025
상품코드 : 1888435
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

매대 이미지 인식 AI 시장 규모는 최근 급격히 확대되고 있습니다. 2024년 14억 3,000만 달러로 평가되었고, 2025년에는 18억 2,000만 달러, CAGR 26.8%로 성장이 전망되고 있습니다. 이러한 성장은 산업 전반의 AI 기술 채택 확대, 자동화 및 업무 효율화에 대한 수요 증가, 모바일 및 인터넷에서의 이미지 데이터 양 증가, 심층 학습 및 머신러닝 알고리즘의 진보, 강화된 보안 감시 시스템의 필요성 등에 기인하고 있습니다.

매대 이미지 인식 AI 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 46억 4,000만 달러에 이르고, CAGR은 26.4%를 나타낼 전망입니다. 예측 기간의 성장 요인으로는 소매 자동화의 보급 확대, 재고 관리에서의 컴퓨터 비전 활용 증가, AI를 활용한 분석 기술 투자 확대, 실시간 선반 모니터링 수요, 시각 인식에 의한 고객 경험 향상의 필요성 등을 들 수 있습니다. 예측 기간의 주요 동향으로는 실시간 선반 감시·분석 기술의 진보, 점포내 자동화를 위한 엣지 베이스 영상 인식 기술의 개발, 시각 데이터와 판매 데이터를 통합하는 멀티 모달 AI의 혁신, 심층 학습 모델에 의한 SKU 레벨 정밀도의 향상, 소매 실행 시스템이나 ERP 플랫폼과의 원활한 연계 개발 등을 들 수 있습니다.

소매업무에 있어서의 자동화의 보급 확대가, 매대 이미지 인식 AI 시장의 성장을 견인할 것으로 예측됩니다. 소매업의 자동화란 최소한의 인위적 개입으로 업무를 효율적으로 수행하는 기술 활용을 말하며, 에러 삭감, 재고 정밀도의 향상, 전체적인 업무 효율의 개선을 실현합니다. 매대 이미지 인식 AI는 선반의 이미지를 촬영·분석하여 수동 입력 없이 실시간으로 상품 재고 상황 모니터링, 재고 차이 검출, 플라노그램 준수 확보를 가능하게 하고 이 자동화를 지원합니다. 예를 들어 2024년 2월 미국 인구조사국이 발표한 바에 따르면 2023년 미국의 전자상거래 매출은 1조 1,187억 달러에 달하고, 2022년 대비 7.6% 증가했습니다. 이는 디지털 소매 활동의 확대와 소매업체에 대한 자동화 도입의 압력 증가를 반영합니다. 따라서 자동화에 의한 업무 효율화 수요가 매대 이미지 인식 AI 시장의 성장을 견인하고 있습니다.

매대 이미지 인식 AI 시장의 주요 기업은 머신러닝 알고리즘, 자동 선반 감사 시스템, AI 탑재 소매 실행 플랫폼, 확장 가능한 클라우드 분석 등 선진 기술에 대한 투자를 추진하고 있어 정확도, 생산성, 점포 성능 향상을 도모하고 있습니다. 자동 선반 감사 시스템은 AI를 활용하여 선반 이미지를 분석하여 수동 감사를 줄이고 재고 가시성을 향상시키는 실시간 통찰력을 제공합니다. 예를 들어 2023년 9월 미국 소매 실행 소프트웨어 제공업체인 Repsly Inc.는 ParallelDots사와의 연계를 통해 AI 이미지 인식 기능을 강화하여 95% 이상의 정확도를 달성함과 동시에 감사 시간을 최대 50% 단축했다고 발표했습니다. 이러한 혁신은 소매 실행을 최적화하고 세계 소비재 기업의 판매 실적 향상을 추진하고 있습니다.

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

제6장 시장 세분화

제7장 지역별/국가별 분석

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

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

SHW
영문 목차

영문목차

Shelf image recognition artificial intelligence (AI) is an advanced technology that leverages computer vision and machine learning to automatically analyze and interpret images of retail shelves. It detects product placement, stock levels, pricing, and planogram compliance by recognizing items and their positions in real time. This technology helps optimize inventory management, improve merchandising accuracy, and enhance overall retail execution efficiency.

The key components of the shelf image recognition AI market are software, hardware, and services. Software includes AI-powered platforms and applications designed to automatically capture, analyze, and interpret shelf images to identify product placement, stock levels, pricing accuracy, and promotional compliance in retail environments. Deployment modes include on-premises and cloud. Application areas include retail execution, inventory management, planogram compliance, pricing analysis, promotion tracking, and others. Primary end-users include supermarkets or hypermarkets, convenience stores, pharmacies, specialty stores, 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 shelf image recognition artificial intelligence market research report is one of a series of new reports from The Business Research Company that provides shelf image recognition artificial intelligence market statistics, including the shelf image recognition artificial intelligence industry global market size, regional shares, competitors with the shelf image recognition artificial intelligence market share, detailed shelf image recognition artificial intelligence market segments, market trends, and opportunities, and any further data you may need to thrive in the shelf image recognition artificial intelligence industry. This shelf image recognition artificial intelligence market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The shelf image recognition artificial intelligence market size has grown exponentially in recent years. It will grow from $1.43 billion in 2024 to $1.82 billion in 2025 at a compound annual growth rate (CAGR) of 26.8%. The growth in the historic period can be attributed to increasing adoption of AI technologies across industries, rising demand for automation and operational efficiency, growing volumes of image data from mobile and internet sources, advancements in deep learning and machine learning algorithms, and the need for enhanced security and surveillance systems.

The shelf image recognition artificial intelligence market size is expected to see exponential growth in the next few years. It will grow to $4.64 billion in 2029 at a compound annual growth rate (CAGR) of 26.4%. Growth in the forecast period can be attributed to increasing adoption of retail automation, growing use of computer vision in inventory management, rising investment in AI-powered analytics, demand for real-time shelf monitoring, and the need to enhance customer experience through visual recognition. Key trends in the forecast period include advancement in real-time shelf monitoring and analytics, development of edge-based image recognition for in-store automation, innovation in multimodal AI combining vision and sales data, improvement in SKU-level accuracy through deep learning models, and development of seamless integration with retail execution and ERP platforms.

The increasing adoption of automation in retail operations is expected to drive the growth of the shelf image recognition artificial intelligence market. Automation in retail involves utilizing technology to perform tasks efficiently with minimal human intervention, reducing errors, enhancing inventory accuracy, and improving overall operational efficiency. Shelf image recognition AI enables this automation by capturing and analyzing shelf images to monitor product availability, detect stock discrepancies, and ensure planogram compliance in real time without manual input. For example, in February 2024, the US Census Bureau reported that e-commerce sales in the US reached $1,118.7 billion in 2023, up 7.6% from 2022, reflecting growing digital retail activity and increasing pressure on retailers to adopt automation. Therefore, the demand for operational efficiency through automation is driving the growth of the shelf image recognition AI market.

Key companies in the shelf image recognition AI market are investing in advanced technologies such as machine learning algorithms, automated shelf audit systems, AI-powered retail execution platforms, and scalable cloud analytics to enhance accuracy, productivity, and in-store performance. Automated shelf audit systems use AI to analyze shelf images, providing real-time insights that reduce manual audits and improve stock visibility. For instance, in September 2023, Repsly Inc., a US-based retail execution software provider, announced enhanced AI image recognition capabilities in collaboration with ParallelDots, achieving over 95% accuracy and reducing audit time by up to 50%. These innovations optimize retail execution and drive sales performance for consumer goods companies globally.

In August 2024, Scandit, a Switzerland-based provider of smart data capture solutions, acquired Market Lab to strengthen its retail shelf intelligence capabilities. The acquisition combines Market Lab's fixed camera-based shelf audit automation technology with Scandit's existing Shelf View mobile capture solution. Market Lab, based in Poland, specializes in AI-driven image recognition solutions that automate shelf auditing processes, helping retailers improve operational efficiency, stock accuracy, and compliance across store networks.

Major players in the shelf image recognition artificial intelligence market are Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, SAP SE, VusionGroup, Scandit AG, YOOBIC Ltd., Focal Systems Inc., Vispera Information Technologies, Pensa Systems Inc., eLeader Sp. z o.o., Infilect Technologies Pvt. Ltd., ParallelDots Inc., Repsly Inc., SeeChange Technologies Ltd., Ailet Inc., Snap2Insight Inc., Quant Retail s.r.o., and Neurolabs Ltd.

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

The countries covered in the shelf image recognition artificial intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The shelf image recognition artificial intelligence market consists of revenues earned by entities by providing services such as data annotation and labeling services, image analytics services, and managed services. The market value includes the value of related goods sold by the service provider or included within the service offering. The shelf image recognition artificial intelligence market also includes sales of display monitors, retail robots, handheld devices, and point-of-sale terminals. 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.

Shelf Image Recognition Artificial Intelligence 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 shelf image recognition artificial intelligence 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

Where is the largest and fastest growing market for shelf image recognition artificial intelligence ? 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 shelf image recognition artificial intelligence 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 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.

Scope

Table of Contents

1. Executive Summary

2. Shelf Image Recognition Artificial Intelligence Market Characteristics

3. Shelf Image Recognition Artificial Intelligence Market Trends And Strategies

4. Shelf Image Recognition Artificial Intelligence Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Shelf Image Recognition Artificial Intelligence Growth Analysis And Strategic Analysis Framework

6. Shelf Image Recognition Artificial Intelligence Market Segmentation

7. Shelf Image Recognition Artificial Intelligence Market Regional And Country Analysis

8. Asia-Pacific Shelf Image Recognition Artificial Intelligence Market

9. China Shelf Image Recognition Artificial Intelligence Market

10. India Shelf Image Recognition Artificial Intelligence Market

11. Japan Shelf Image Recognition Artificial Intelligence Market

12. Australia Shelf Image Recognition Artificial Intelligence Market

13. Indonesia Shelf Image Recognition Artificial Intelligence Market

14. South Korea Shelf Image Recognition Artificial Intelligence Market

15. Western Europe Shelf Image Recognition Artificial Intelligence Market

16. UK Shelf Image Recognition Artificial Intelligence Market

17. Germany Shelf Image Recognition Artificial Intelligence Market

18. France Shelf Image Recognition Artificial Intelligence Market

19. Italy Shelf Image Recognition Artificial Intelligence Market

20. Spain Shelf Image Recognition Artificial Intelligence Market

21. Eastern Europe Shelf Image Recognition Artificial Intelligence Market

22. Russia Shelf Image Recognition Artificial Intelligence Market

23. North America Shelf Image Recognition Artificial Intelligence Market

24. USA Shelf Image Recognition Artificial Intelligence Market

25. Canada Shelf Image Recognition Artificial Intelligence Market

26. South America Shelf Image Recognition Artificial Intelligence Market

27. Brazil Shelf Image Recognition Artificial Intelligence Market

28. Middle East Shelf Image Recognition Artificial Intelligence Market

29. Africa Shelf Image Recognition Artificial Intelligence Market

30. Shelf Image Recognition Artificial Intelligence Market Competitive Landscape And Company Profiles

31. Shelf Image Recognition Artificial Intelligence Market Other Major And Innovative Companies

32. Global Shelf Image Recognition Artificial Intelligence Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Shelf Image Recognition Artificial Intelligence Market

34. Recent Developments In The Shelf Image Recognition Artificial Intelligence Market

35. Shelf Image Recognition Artificial Intelligence Market High Potential Countries, Segments and Strategies

36. Appendix

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