Multimodal Product Search Global Market Report 2026

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 primary components of multimodal product search include software, hardware, and services. Software refers to applications that enable organizations to improve product discovery by combining multiple data inputs such as images, text, and speech to deliver accurate and intuitive search results. These solutions utilize 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.

Tariffs have impacted the multimodal product search market by increasing costs for imported hardware such as servers, GPUs, and networking equipment used in AI-powered search systems. The effect is most significant in cloud-based deployments and large enterprise retail segments, particularly in Asia-Pacific and North America where cross-border technology sourcing is high. These added costs can slow infrastructure upgrades and implementation timelines. However, tariffs also encourage localized manufacturing, domestic AI software development, and greater reliance on regional system integration providers.

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.

The expansion of e-commerce is expected to accelerate 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 occur via the internet, mobile devices, or electronic networks. E-commerce is expanding due to higher internet and smartphone penetration, enabling consumers to conveniently access online stores and complete purchases at any time and from any location. Multimodal product search enhances e-commerce operations by allowing customers to locate products efficiently using a combination of text, images, and voice inputs, improving user experience, increasing engagement, and enhancing 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, reflecting a 7.6% increase compared with 2022. Therefore, the expansion of e-commerce is strengthening the growth of the multimodal product search market.

Leading companies 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 example, 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.

In August 2025, Rezolve AI plc, a UK-based conversational commerce AI company, acquired ViSenze Pte. Ltd. for an undisclosed amount. Through this acquisition, Rezolve AI expanded its retail AI platform by incorporating ViSenze's visual search and multimodal AI-driven product discovery technologies to enhance personalized shopping and accelerate retail innovation. ViSenze Pte. Ltd. is a Singapore-based company providing AI-powered visual search, machine learning-based product discovery, and personalization tools for retailers.

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.

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.

The countries covered in the multimodal product search market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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.

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.

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

Multimodal Product Search Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses multimodal product search market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for multimodal product search ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The multimodal product search market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered: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
• Companies Mentioned: 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.
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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