Image Recognition in Consumer Packaged Goods (CPG) Global Market Report 2025

The image recognition in consumer packaged goods (CPG) market size has grown rapidly in recent years. It will grow from $3.48 billion in 2024 to $4.17 billion in 2025 at a compound annual growth rate (CAGR) of 19.7%. The growth during the historic period can be attributed to the rising demand for retail automation and efficiency, the increasing need for accurate in store data and analytics, the growing competition among CPG brands for shelf space, the rising adoption of artificial intelligence and computer vision technologies, and the increasing investment in supply chain optimization and loss prevention.

The image recognition in consumer packaged goods (CPG) market size is expected to see rapid growth in the next few years. It will grow to $8.42 billion in 2029 at a compound annual growth rate (CAGR) of 19.4%. The growth in the forecast period can be attributed to the rising adoption of artificial intelligence powered predictive analytics, the increasing integration of IoT and smart shelf technologies, the growing demand for real time inventory and shopper insights, the rising need for competitive intelligence and market share tracking, and the increasing focus on sustainability and supply chain transparency. Key trends in the forecast period include advancements in artificial intelligence for predictive out of stock alerts, the development of real time shelf monitoring using edge computing, innovation in integrating image recognition data with supply chain systems, advancements in analytics for shopper behavior insights, and the development of automated and AI driven planogram optimization.

The increasing penetration of smartphones is expected to drive the growth of the image recognition in CPG market in the coming years. Smartphone penetration refers to the widespread ownership and usage of mobile phones equipped with advanced computing capabilities and internet connectivity, serving as a measure of digital accessibility and technological adoption in everyday life. The penetration of smartphones is rising as people increasingly rely on them for communication, online shopping, and access to digital services. Smartphones act as key enablers for image recognition in CPG by allowing applications to perform retail audits, shelf analysis, and consumer engagement more efficiently. For example, in October 2025, according to Backlinko, a US based digital research platform, the number of global smartphone users reached approximately 4.69 billion in 2025, up from 3.39 billion in 2022, reflecting a growth of nearly 38% within three years. Therefore, the increasing penetration of smartphones is contributing to the growth of the image recognition in CPG market.

Key companies operating in the image recognition in CPG market are focusing on advanced artificial intelligence and machine learning technologies such as computer vision to enhance in store execution for CPG brands. Computer vision technology refers to a branch of artificial intelligence that enables computers and systems to interpret, analyze, and understand visual information from the real world, including images and videos. For instance, in July 2025, Trax, a Singapore based retail technology company, introduced its new AR powered On Device Image Recognition (ODIR) technology. This solution delivers real time, offline image analysis for improved in store execution, addressing major challenges in retail intelligence for consumer packaged goods (CPG) brands. The innovation represents Trax’s progress in developing scalable and efficient technologies for field teams, setting new standards in retail execution by enabling instant insights and corrective actions directly at the shelf edge.

In August 2024, Scandit, a Switzerland based smart data capture company, acquired Market Lab for an undisclosed amount. This acquisition expands and strengthens Scandit’s portfolio by integrating advanced image based retail data and analytics capabilities, including planogram compliance and market intelligence. Market Lab is a Netherlands based provider of retail execution and image recognition solutions that utilizes smartphone imagery to generate detailed shelf insights.

Major players in the image recognition in consumer packaged goods (cpg) market are SymphonyAI, Amazon Web Services Inc, EVERSEEN LIMITED, Trax Technology Solutions PTE Ltd, Scandit, RetailNext Inc, ParallelDots Inc, Visenze, BeMyEye Holdings Ltd, PENSA SYSTEMS, Focal Inc, Observanow, Infilect Technologies Pvt. Ltd, ShelfWise, Robovision, Zebra Technologies Corp, VusionGroup, ShelfiePro, Technical.ly, Shelfie Pty Ltd.

North America was the largest region in the image recognition in consumer packaged goods (CPG) market in 2024. Asia-pacific is expected to be the fastest-growing region in the forecast period. The regions covered in image recognition in consumer packaged goods (CPG) report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the image recognition in consumer packaged goods (CPG) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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 image recognition in consumer-packaged goods (CPG) market research report is one of a series of new reports that provides image recognition in consumer-packaged goods (CPG) market statistics, including image recognition in consumer-packaged goods (CPG) industry global market size, regional shares, competitors with a image recognition in consumer-packaged goods (CPG) market share, detailed image recognition in consumer-packaged goods (CPG) market segments, market trends and opportunities, and any further data you may need to thrive in the image recognition in consumer-packaged goods (CPG) industry. This image recognition in consumer-packaged goods (CPG) 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.

Image recognition in consumer packaged goods (CPG) refers to the use of computer vision and artificial intelligence to automatically detect and analyze visual information related to products, packaging, and retail environments. This technology enables CPG companies to monitor shelf availability, ensure planogram compliance, track inventory, identify brands and product variations, and study consumer interactions with products.

The primary components of image recognition in consumer packaged goods (CPG) include hardware, solutions, and services. The hardware in CPG applications utilizes AI enabled vision systems to identify, analyze, and monitor CPG products in manufacturing and retail settings. The key technologies involved are machine learning, deep learning, computer vision, augmented reality, and high resolution image processing. Deployment modes include on premise, cloud based, hybrid, edge computing, and mobile systems. The primary applications encompass inventory analysis, shelf monitoring, product placement auditing, compliance assessment, and category analysis. End users consist of manufacturers, retailers, wholesalers, e commerce platforms, and logistics providers.

The image recognition in consumer packaged goods (CPG) market consists of revenues earned by entities by providing services such as automated retail audits, shelf analytics, planogram compliance monitoring, inventory tracking, and consumer behavior insights. The market value includes the value of related goods sold by the service provider or included within the service offering. The image recognition in consumer packaged goods (CPG) market also includes sales of artificial intelligence software platforms, cloud analytics services, edge computing devices, and data integration active pharmaceutical intergradient. 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.

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