Press release
Market Trend Insights: The Impact of Emerging Innovations on the Image Recognition in Retail Market
Image Recognition In Retail Market
Projected Market Size Growth of Image Recognition in Retail Through 2030
The image recognition in retail market is anticipated to grow swiftly in the coming years. By 2030, its value is expected to reach $7.07 billion, expanding at a compound annual growth rate (CAGR) of 19.6%. This rapid growth stems from increased investments in AI-powered retail analytics, the rising need for real-time merchandising insights, the growth of autonomous retail stores, greater emphasis on loss prevention technologies, and the broader adoption of cloud-based image recognition systems. Key trends during this period will include wider use of shelf analytics solutions, expansion of real-time image recognition applications, deployment of AI-driven planogram compliance tools, automated visual auditing, and deeper integration with retail analytics platforms.
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Top Players Driving the Image Recognition in Retail Market
Several major corporations are shaping this sector, including:
Catchoom Technologies S.L., Ricoh Innovations Corporation, Blippar Ltd., Google LLC, Wikitude GmbH, Trax Retail Solutions Pte. Ltd., Snap2Insight Inc., ClarifAI Inc., Slyce Inc., ParallelDots Inc., NEC Corporation, Huawei Technologies Co. Ltd., Qualcomm Incorporated, Amazon Web Services Inc., Zippin Inc., Vispera Information Technologies Ltd., Hitachi Ltd., NVIDIA Corporation, International Business Machines Corporation, Intel Corporation, Toshiba Corporation, Honeywell International Inc., Sharp Corporation, and Syte Visual Conception Ltd.
Significant Acquisition Enhancing AI Capabilities in Retail
In March 2024, BigBear.ai, a US-based provider specializing in AI-enabled business intelligence, acquired Pangiam Intermediate Holdings LLC for $70 million. This strategic move aims to combine Pangiam's expertise in facial image recognition and advanced biometrics with BigBear.ai's existing computer vision technologies. Pangiam delivers vision AI solutions including image recognition and biometrics for global trade, retail, travel, and digital identity sectors.
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How AI Innovations Are Shaping Image Recognition in Retail
Companies in this market are focusing heavily on launching AI-powered image recognition tools to gain competitive advantages. A notable example is the introduction of Shopping Lens, a technology designed to let users visually search for products in their surroundings using smartphones. In October 2023, Klarna, a Sweden-based financial services firm, unveiled its AI-enabled Shopping Lens. This tool converts product images into searchable terms through artificial intelligence, directing users to the best deals available within Klarna's app. Serving around 150 million active users, this feature enhances personalized shopping experiences and reflects the growing trend toward AI shopping assistants and bespoke consumer interactions.
Detailed Segmentation of the Image Recognition in Retail Market
This market is categorized across several dimensions:
1) Component:
- Hardware
- Software
- Services
2) Type:
- Code Recognition
- Digital Image Processing
- Facial Recognition
- Object Recognition
- Other Types
3) Deployment:
- On-Premises
- Cloud
4) Application:
- Scanning and Imaging
- Image Search
- Security and Surveillance
- Augmented Reality
- Marketing and Advertising
- Other Applications
Further subcategories include hardware components such as cameras and sensors, edge devices, and processing units; software elements like image recognition software, machine learning algorithms, and analytics software; and various services including consulting, implementation, maintenance and support, as well as training.
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