Multimodal Product Search Market Report 2026

Multimodal Product Search Market Overview

• Multimodal Product Search market size has reached to $3.83 billion in 2025 • Expected to grow to $10.64 billion in 2030 at a compound annual growth rate (CAGR) of 22.7% • Growth Driver: Growth Of E-Commerce Driving The Market Growth Due To Increasing Demand For Fast, Scalable, And Efficient Logistics & Digital Infrastructure • Market Trend: AI-Driven Visual And Conversational Search Enhancing Real-Time Product Discovery • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Multimodal Product Search Market?

Multimodal product search refers to a search technology that allows users to find products using multiple types of input, such as text, images, voice, or even sketches. It combines computer vision, natural language processing, and AI-based retrieval techniques to understand queries across different modalities and deliver relevant product results. It is used to improve search accuracy, enhance user experience, and enable seamless discovery of products across e-commerce and retail platforms. The main components of multimodal product search include software, hardware, and services. Software refers to applications that enable organizations to enhance product discovery by combining multiple data inputs such as images, text, and speech for accurate and intuitive search results. These solutions use technologies such as Image Recognition, natural language processing, speech recognition, and other technologies, and are deployed through cloud-based and on-premises models depending on organizational infrastructure and they are adopted by small and medium enterprises as well as large enterprises. The various applications involved are e-commerce, retail, healthcare, automotive, media and entertainment, and other applications. The end users of multimodal product search solutions include e-commerce companies, retail companies, healthcare providers, automotive companies, media and entertainment companies, and other enterprises leveraging advanced product search capabilities for business operations.

What Is The Multimodal Product Search Market Growth Forecast?

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.

Global Multimodal Product Search Market Segmentation

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 Is The Driver Of The Multimodal Product Search Market?

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 industry.

Key Players In The Global 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.

Global Multimodal Product Search Market Trends and Insights

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.

What Are Latest Mergers And Acquisitions In The Multimodal Product Search Market?

In August 2025, Rezolve AI plc, a UK-based AI-driven conversational commerce company, acquired ViSenze Pte. Ltd. for an undisclosed amount. With this acquisition, Rezolve AI aimed to expand and integrate advanced visual search and multimodal AI product discovery capabilities into its retail AI platform to accelerate innovation and enhance personalized shopping experiences for global retailers. ViSenze Pte. Ltd. is a Singapore-based technology company that specializes in providing AI-powered visual search, machine learning-driven product discovery, and personalization solutions that help retailers improve on-site and in-store product discovery and customer engagement.

Regional Outlook

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 this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Multimodal Product Search Market?

The multimodal product search market consists of revenues earned by entities by providing services such as image-based search, text-to-product search, voice-enabled product search, visual similarity matching, product recommendation integration, catalog indexing, search query optimization, and real-time search analytics services. The market value includes the value of related goods sold by the service provider or included within the service offering. The multimodal product search market includes sales of AI-powered search engines, image and voice recognition tools, product recommendation systems, visual search modules, and integrated e-commerce search solutions. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Multimodal Product Search Market Report 2026?

The multimodal product search market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the multimodal product search industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.