Global AI-based Document Search Market Growth (Status and Outlook) 2025-2031

The global AI-based Document Search market size is predicted to grow from US$ 1397 million in 2025 to US$ 2526 million in 2031; it is expected to grow at a CAGR of 10.4% from 2025 to 2031.

AI-based document search refers to intelligent search systems that use machine learning (ML), natural language processing (NLP), and semantic analysis to retrieve, categorize, and summarize documents with high accuracy. Unlike traditional keyword-based search, AI-powered solutions understand context, intent, and relationships within unstructured data (PDFs, emails, legal files, etc.), enabling faster and more precise information retrieval.

United States market for AI-based Document Search is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for AI-based Document Search is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for AI-based Document Search is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key AI-based Document Search players cover Microsoft, Google Cloud, IBM, Accenture, QuikFynd Inc, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information)' newest research report, the “AI-based Document Search Industry Forecast” looks at past sales and reviews total world AI-based Document Search sales in 2024, providing a comprehensive analysis by region and market sector of projected AI-based Document Search sales for 2025 through 2031. With AI-based Document Search sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-based Document Search industry.

This Insight Report provides a comprehensive analysis of the global AI-based Document Search landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI-based Document Search portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-based Document Search market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-based Document Search and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI-based Document Search.

This report presents a comprehensive overview, market shares, and growth opportunities of AI-based Document Search market by product type, application, key players and key regions and countries.

Segmentation by Type:
On-premise
Cloud-based

Segmentation by Application:
BFSI
Education
Government
Manufacturing
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Microsoft
Google Cloud
IBM
Accenture
QuikFynd Inc
Loome
Sentieo
Bigle Legal
Lucidworks
Algolia
Coveo
Elastic
ROSS Intelligence
Evisort
Sinequa
Hebbia
Safe Online
Hyarchis
Onior

Please note: The report will take approximately 2 business days to prepare and deliver.