Global Multimodal Product Search Market Predicted to Grow at 22.7% CAGR During 2026-2030

 


The Business Research Company’s 2026 market reports introduce new features such as market attractiveness scoring and analysis, total addressable market analysis, company scoring matrix, interactive excel data dashboard, improved supply chain analysis, upcoming startups in the market, and overview of key products, all designed to enhance the depth, usability, and strategic value of the insights provided.
 
 What Is the Estimated Market Growth Potential of the Multimodal Product Search Market by 2030?
 The multimodal product search market size has grown exponentially in recent years. It will grow from $3.83 billion in 2025 to $4.69 billion in 2026 at a compound annual growth rate (CAGR) of 22.5%. The growth in the historic period can be attributed to growth in e-commerce platforms, increasing adoption of visual search tools, rising consumer demand for faster product discovery, expansion of mobile shopping usage, improvements in image recognition accuracy.
 
 The multimodal product search market size is expected to see exponential growth in the next few years. It will grow to $10.64 billion in 2030 at a compound annual growth rate (CAGR) of 22.7%. The growth in the forecast period can be attributed to advancement in multimodal ai retrieval models, increasing investment in voice commerce, demand for seamless omnichannel retail experiences, growth in real-time search analytics adoption, rising integration of product recommendation engines. Major trends in the forecast period include image-based product discovery, voice-enabled shopping search, visual similarity matching, real-time catalog indexing, personalized multimodal recommendations.
 
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 Who Are the Major Contributors to the Multimodal Product Search Market Growth?
 The growth of e-commerce is expected to propel the growth of the multimodal product search market going forward. E-commerce refers to the buying and selling of goods and services through online platforms where transactions are conducted via the internet, mobile devices, or electronic data interchange networks. E?commerce is rising due to greater internet and smartphone penetration, which allows more consumers to access online stores conveniently and make purchases anytime, anywhere. Multimodal product search supports E?commerce operations by enabling customers to find products quickly and accurately using a combination of text, images, and voice inputs, enhancing user experience, increasing engagement, and boosting conversion rates. For instance, in February 2024, according to the United States Census Bureau, a US-based federal statistical agency, total US e-commerce sales for 2023 were estimated at $1,118.7 billion, an increase of 7.6% from 2022. Therefore, the growth of e-commerce is driving the growth of the multimodal product search market.
 
 How Is the Multimodal Product Search Market Arranged by Segment Classification?
 The multimodal product search market covered in this report is segmented — 
 
 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
 
 Subsegments:
 1) By Software: Search Engine Platform, Analytics Tools, User Interface Modules, Artificial Intelligence Modules, Integration Software
 2) By Hardware: Servers, Graphics Processing Units, Storage Devices, Networking Equipment, Input Output Devices
 3) By Services: Consulting Services, System Integration Services, Technical Support Services, Training Services, Maintenance And Upgrade Services
 
 What Are the Key Industry Trends Transforming the Multimodal Product Search Market?
 Major companies operating in the multimodal product search market are focusing on developing innovative solutions, such as artificial intelligence (AI)-powered real-time visual search platforms to enhance product discovery, improve search accuracy, and deliver more intuitive shopping experiences. Artificial intelligence (AI)-powered real-time visual search platforms are technologies that use computer vision and machine learning to identify and match products from live camera feeds or images, helping users instantly discover relevant items, compare options, and make faster, more informed purchasing decisions. For instance, in September 2025, Amazon.com Inc., a US-based technology and e-commerce company, launched Lens Live, an AI-powered enhancement to its existing Amazon Lens feature. Lens Live enables users to point their smartphone camera at real-world objects and instantly view visually similar or matching products in a real-time, swipeable carousel within the Amazon Shopping app. The solution is powered by machine learning models deployed via Amazon SageMaker and runs on AWS-managed OpenSearch, enabling scalable, low-latency visual recognition. Integrated with Amazon’s AI shopping assistant Rufus, Lens Live also provides AI-generated product summaries, comparison insights, and conversational prompts, helping users conduct rapid product research before purchasing.
 
 Who Are the Top Competitors in the Multimodal Product Search Market?
 Major companies operating in the multimodal product search market are 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, Imagga Ltd. 
 
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 https://www.thebusinessresearchcompany.com/report/multimodal-product-search-market-report
 
 Which regions are expected to dominate the Multimodal Product Search Market during the forecast period?
 North America was the largest region in the multimodal product search market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the multimodal product search market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
 
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