Press release
In-Depth Examination of Segments, Industry Trends, and Key Competitors in the Multimodal Product Search Market
Multimodal Product Search Market
Projected Market Expansion of the Multimodal Product Search Market
The multimodal product search market is forecasted to expand sharply, reaching a valuation of $10.64 billion by 2030. This remarkable growth translates to a compound annual growth rate (CAGR) of 22.7%. Factors contributing to this surge include improvements in multimodal AI retrieval models, rising investments in voice commerce, the growing demand for unified omnichannel retail experiences, increased adoption of real-time search analytics, and the integration of advanced product recommendation engines. Anticipated trends steering the market encompass image-based product discovery, voice-activated search options, visual similarity matching, real-time catalog indexing, and personalized multimodal recommendations.
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Top Companies Driving the Multimodal Product Search Market Forward
Several leading organizations are shaping the future of the multimodal product search industry. Key players include Amazon.com Inc., Apple Inc., Google LLC, Microsoft Corporation, Alibaba Group Holding Limited, Adobe Inc., Criteo S.A., Coveo Solutions Inc., Algolia Inc., Lightricks Ltd., Scandit AG, Lucidworks Inc., Syte.ai, Cortex Search Ltd., Clarifai Inc., Klevu Ltd., CamFind LLC, Pixyle.ai Ltd., FindMine Inc., DeepSearch Technologies Inc., AddSearch Oy, Vue.ai, and Imagga Ltd. These companies continue to innovate and expand their capabilities to meet the evolving needs of retailers and consumers worldwide.
Recent Strategic Acquisition Enhances Capabilities in the Market
In August 2025, Rezolve AI plc, a UK-based company specializing in AI-driven conversational commerce, completed the acquisition of ViSenze Pte. Ltd., a Singaporean firm renowned for its AI-powered visual search and machine learning-driven product discovery solutions. Although the financial details were not disclosed, this move aims to bolster Rezolve AI's retail AI platform by incorporating cutting-edge multimodal AI product discovery features. This integration is designed to accelerate innovation and improve personalized shopping experiences for global retail clients by enhancing on-site and in-store product discovery and customer engagement.
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Emerging Trends Shaping the Future of the Multimodal Product Search Market
Market leaders are increasingly focusing on the development of AI-powered real-time visual search platforms, which utilize computer vision and machine learning to recognize and match products from live images or camera feeds. These platforms enable users to quickly find relevant products, compare options, and make more informed purchasing decisions. For example, in September 2025, Amazon.com Inc. introduced Lens Live, an AI-enhanced upgrade to its Amazon Lens feature. Lens Live allows users to point their smartphone cameras at physical objects and instantly access visually similar or matching products through a swipeable carousel in the Amazon Shopping app.
How AI Enhancements Improve Shopper Engagement
Lens Live is powered by advanced machine learning models deployed via Amazon SageMaker and runs on AWS-managed OpenSearch, ensuring scalable and low-latency visual recognition. Its integration with Amazon's AI shopping assistant Rufus offers AI-generated product summaries, comparison insights, and conversational prompts. These features help users conduct fast and thorough product research, streamlining the decision-making process prior to purchase. Such innovations highlight the growing role of AI in elevating the customer shopping experience within the multimodal product search market.
Comprehensive Segmentation of the Multimodal Product Search Market
This report segments the multimodal product search market by several key categories to provide detailed insights:
1) By Component: Software, Hardware, Services
2) By Technology: Image Recognition, Natural Language Processing, Speech Recognition, Other Technologies
3) By Deployment Mode: Cloud, On-Premises
4) By Enterprise Size: Small and Medium Enterprises, Large Enterprises
5) By Application: E-Commerce, Retail, Healthcare, Automotive, Media and Entertainment, Other Applications
Further subsegments include:
- Software: Search Engine Platforms, Analytics Tools, User Interface Modules, Artificial Intelligence Modules, Integration Software
- Hardware: Servers, Graphics Processing Units, Storage Devices, Networking Equipment, Input/Output Devices
- Services: Consulting, System Integration, Technical Support, Training, Maintenance, and Upgrades
This detailed breakdown provides a comprehensive view of the components and technologies fueling the market's growth, enabling stakeholders to better understand opportunities across different sectors and applications.
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