Multimodal Search Platform Market Report 2026

Multimodal Search Platform Market Overview

• Multimodal Search Platform market size has reached to $6.02 billion in 2025 • Expected to grow to $17.22 billion in 2030 at a compound annual growth rate (CAGR) of 23.3% • Growth Driver: Surge In Demand For Personalized Search Experiences Fueling Market Growth Due To Enhanced User Relevance And Engagement • Market Trend: Innovation In Multimodal Search Technologies • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Multimodal Search Platform Market?

A multimodal search platform is an advanced search system that allows users to retrieve information through multiple input types, such as text, voice, image, and video, simultaneously. It leverages artificial intelligence (AI), natural language processing (NLP), and computer vision to interpret and connect data across various modalities, enabling more accurate, intuitive, and context-aware search experiences. These platforms are increasingly adopted across industries such as e-commerce, healthcare, and media to improve user engagement, enhance information discovery, and deliver more personalized results. The main components of multimodal search platform are software, hardware, and services. Software refers to the AI-powered applications and algorithms that enable users to perform searches using multiple input formats such as text, images, voice, and video, improving accuracy, context understanding, and user experience. These platforms are deployed through on-premises and cloud models, and cater to organizations of all sizes, including small and medium enterprises (SMEs) and large enterprises, and are applied across industries such as e-commerce, healthcare, media and entertainment, retail, banking, financial services and insurance (BFSI), information technology (IT) and telecommunications, and others. The key end users include enterprises, individual users, government organizations, and others.

What Is The Multimodal Search Platform Market Growth Forecast?

The multimodal search platform market size is expected to see exponential growth in the next few years. It will grow to $17.22 billion in 2030 at a compound annual growth rate (CAGR) of 23.3%. The growth in the forecast period can be attributed to genAI-powered conversational search interfaces, multimodal retrieval augmented generation (RAG) adoption, privacy-first personalization techniques, video and image-first commerce experiences, cross-lingual multimodal search capabilities. Major trends in the forecast period include unified text-voice-image search experiences, context-aware retrieval with nlp and vision models, personalized search ranking and recommendations, enterprise multimodal knowledge discovery, real-time search analytics and feedback loops.

Global Multimodal Search Platform Market Segmentation

1) By Component: Software, Hardware, Services 2) By Deployment Mode: On-Premises, Cloud 3) By Enterprise Size: Small And Medium Enterprises, Large Enterprises 4) By Application: E-Commerce, Healthcare, Media And Entertainment, Retail, Banking, Financial Services, And Insurance, Information Technology (IT) And Telecommunications, Other Applications 5) By End-User: Enterprises, Individual Users, Government, Other End-Users Subsegments: 1) By Software: Search Engines, Natural Language Processing Tools, Image Recognition Systems, Voice Recognition Systems, Data Integration Platforms, Recommendation Engines 2) By Hardware: Servers, Storage Devices, Networking Equipment, Processing Units, Input Devices, Display Systems 3) By Services: Implementation Services, Consulting Services, Training And Support Services, Managed Services, Maintenance And Upgradation Services

What Is The Driver Of The Multimodal Search Platform Market?

The growing demand for personalized search experiences is expected to propel the growth of the multimodal search platform market going forward. Personalized search experiences refer to search systems that tailor results, recommendations, and content to each individual user based on their behavior, preferences, location, purchase history, and intent. The growing demand for personalized search experiences is rising as users expect search results tailored to their specific preferences and behaviors, enhancing relevance, improving satisfaction, and increasing engagement with digital platforms. The multimodal search platform enhances personalized search experiences by combining text, voice, image, and video inputs to understand user intent more accurately and deliver highly relevant, context-aware results tailored to individual preferences. For instance, in March 2025, according to a report published by Nosto, a US-based commerce experience platform, it was reported that websites using Nosto’s new AI-powered search technology experienced a 323% increase in search queries in 2024, leading to an impressive 1024% rise in revenue for brands between 2023 and 2024. Therefore, the growing demand for personalized search experiences is driving the growth of the multimodal search platform industry.

Key Players In The Global Multimodal Search Platform Market

Major companies operating in the multimodal search platform market are Apple Inc., Google LLC, Microsoft Corporation, Meta Platforms Inc., Alibaba Group Holding Limited, Amazon Web Services Inc., IBM Corporation, Oracle Corporation, SAP SE, NEC Corporation, Baidu Inc., Snap Inc., Pinterest Inc., Elastic N.V., SenseTime Group Inc., Rezolve AI PLC, Cohere Inc., Hugging Face Inc., Pinecone Systems Inc., ClarifAI Inc.

Global Multimodal Search Platform Market Trends and Insights

Major companies operating in the multimodal search platform market are focusing on developing innovative technologies such as multimodal AI engines to enhance search accuracy, user personalization, and overall content discovery experiences. A multimodal AI engine refers to an advanced artificial intelligence system capable of processing and integrating different types of data to generate accurate, context-aware, and personalized results while enabling seamless interaction across various input modes to enhance user experience. For instance, in July 2025, Shiprocket Limited, an India-based public limited company, launched a multimodal AI model aimed at empowering MSMEs and D2C businesses by integrating advanced artificial intelligence capabilities to streamline operations, enhance customer engagement, and improve decision-making. The model leverages multiple data types, such as text, images, and voice, to deliver intelligent insights and personalized experiences. This innovation is designed to help businesses automate processes, optimize logistics, and scale efficiently in the competitive digital commerce ecosystem.

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

In August 2025, Rezolve AI PLC, a UK-based AI-powered commerce company, acquired ViSenze Pte. Ltd. for an undisclosed amount. Through this acquisition, Rezolve AI PLC aims to leverage ViSenze Pte. Ltd.’s advanced visual search and AI-powered image recognition technologies to enhance its multimodal search capabilities, improve user experience, and expand its presence in the global AI-driven commerce ecosystem. ViSenze Pte. Ltd. is a Singapore-based technology company that provides a multimodal search platform.

Regional Insights

North America was the largest region in the multimodal search platform 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 Search Platform Market?

The multimodal search platform market includes revenues earned by entities by providing services such as natural language processing services, metadata enrichment services, enterprise knowledge management search services, multimodal search engine deployment services, and multimodal data integration services. The market value includes the value of related goods sold by the service provider or included within the service offering. The multimodal search platform market also includes sales of storage devices, networking equipment, edge devices, sensors, cameras, microphones, and data processing units (DPUs). 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 Search Platform Market Report 2026?

The multimodal search platform 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 search platform 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.