Global Visual Search Market Analysis

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Global Visual Search Market Analysis

  • ICT
  • May 2021
  • Global
  • 350 Pages
  • No of Tables: 60
  • No of Figures: 220

  • Visual search is a type of perceptual task that typically involves an active scan of the visual environment for a particular object or feature. It is used to identify a specific predetermined target among other distractions. Visual search engines are used in a wide range of applications such as baggage scanning, security screening, electronic component manufacturing, navigation systems and others.
  • The growth and expansion of e-commerce industry will directly and positively influence the growth in demand for visual search engines. Rising demand for advanced technological solutions such as artificial intelligence and machine learning will further create lucrative and remunerative growth drive the visual search market.
  • North America dominates the Visual Search market with the largest revenue share of 48.01% in 2025, North America’s visual search market is driven by strong e-commerce growth, advanced AI development, and high smartphone penetration. Major tech companies are integrating visual search into platforms to enhance user experience, streamline product discovery, and increase engagement through visual-driven consumer behavior.
  • Asia-Pacific is expected to be the fastest growing region in the Visual Search market during the forecast period due to expanding digital commerce, rising mobile internet usage, and tech-savvy consumers. E-commerce giants and app developers in countries like China, India, and South Korea are leveraging visual AI to enhance shopping, navigation, and image-based search experiences.
  • The Image Search segment is anticipated to hold the largest market share of 62.1% in the Visual Search Market during the forecast period. The image search segment in the visual search market is driven by increasing demand for intuitive, fast, and accurate search experiences. Consumers prefer searching with images over text, especially in fashion, home décor, and e-commerce, prompting businesses to integrate advanced visual recognition technologies.

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