Image Recognition in Retail Market Size

  • Report ID: 4964
  • Published Date: May 09, 2025
  • Report Format: PDF, PPT

Image Recognition in Retail Market Outlook:

Image Recognition in Retail Market size was valued at USD 3.48 billion in 2025 and is likely to cross USD 26.05 billion by 2035, expanding at more than 22.3% CAGR during the forecast period i.e., between 2026-2035. In the year 2026, the industry size of image recognition in retail is assessed at USD 4.18 billion.

The market is projected to be influenced by the growing adoption of cloud in retail. About 77 percent of retailers globally in 2022 were mature or intermediates users of the cloud who were advancing their investment in the cloud.  Cloud computing makes data processing ability, and data storing capacity efficient which makes the operation of retail business effortless.

Additionally, the concern for fake logos, and designs is growing which will further drive the demand for image recognition. Image recognition technology basically makes it possible for e-Commerce sites to identify goods with false logos and designs trying to pass off as authentic brands by identifying inconsistencies between photos and information. When a fake is found, the system flags it and removes the sellers' products from the marketplace.


Image Recognition in Retail Market Size

Browse key industry insights with market data tables & charts from the report:

Frequently Asked Questions (FAQ)

In the year 2026, the industry size of image recognition in retail is assessed at USD 4.18 billion.

The global image recognition in retail market size was valued at over USD 3.48 billion in 2025 and is expected to expand at a CAGR of over 22.3%, surpassing USD 26.05 billion revenue by 2035.

North America image recognition in retail market exhibits rapid growth by 2035, driven by the growing adoption of Artificial Intelligence (AI) in digital shopping and e-commerce.

Key players in the market include Amazon.com, Inc., Attrasoft, Inc., Blippar, Google LLC, Hitachi, Ltd., Honeywell International Inc., Huawei Technologies Co., Ltd., IBM Corp., Intelligent Retail, LTU Technologies.
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