Global AI-based Document Search Market Research Report 2025

Publication ID:

PB504250239

Publication Date:

April 2, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI-based Document Search was valued at US$ 1236 million in the year 2024 and is projected to reach a revised size of US$ 2530 million by 2031, growing at a CAGR of 10.0% during the forecast period.
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.
North American market for AI-based Document Search is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for AI-based Document Search is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for AI-based Document Search in BFSI is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of AI-based Document Search include Microsoft, Google Cloud, IBM, Accenture, QuikFynd Inc, Loome, Sentieo, Bigle Legal, Lucidworks, Algolia, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI-based Document Search, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI-based Document Search.
The AI-based Document Search market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global AI-based Document Search market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI-based Document Search companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Microsoft
Google Cloud
IBM
Accenture
QuikFynd Inc
Loome
Sentieo
Bigle Legal
Lucidworks
Algolia
Coveo
Elastic
ROSS Intelligence
Evisort
Sinequa
Hebbia
Safe Online
Hyarchis
Onior
Segment by Type
On-premise
Cloud-based
Segment by Application
BFSI
Education
Government
Manufacturing
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI-based Document Search company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI-based Document Search Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 On-premise
1.2.3 Cloud-based
1.3 Market by Application
1.3.1 Global AI-based Document Search Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 BFSI
1.3.3 Education
1.3.4 Government
1.3.5 Manufacturing
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-based Document Search Market Perspective (2020-2031)
2.2 Global AI-based Document Search Growth Trends by Region
2.2.1 Global AI-based Document Search Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI-based Document Search Historic Market Size by Region (2020-2025)
2.2.3 AI-based Document Search Forecasted Market Size by Region (2026-2031)
2.3 AI-based Document Search Market Dynamics
2.3.1 AI-based Document Search Industry Trends
2.3.2 AI-based Document Search Market Drivers
2.3.3 AI-based Document Search Market Challenges
2.3.4 AI-based Document Search Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-based Document Search Players by Revenue
3.1.1 Global Top AI-based Document Search Players by Revenue (2020-2025)
3.1.2 Global AI-based Document Search Revenue Market Share by Players (2020-2025)
3.2 Global Top AI-based Document Search Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI-based Document Search Revenue
3.4 Global AI-based Document Search Market Concentration Ratio
3.4.1 Global AI-based Document Search Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-based Document Search Revenue in 2024
3.5 Global Key Players of AI-based Document Search Head office and Area Served
3.6 Global Key Players of AI-based Document Search, Product and Application
3.7 Global Key Players of AI-based Document Search, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-based Document Search Breakdown Data by Type
4.1 Global AI-based Document Search Historic Market Size by Type (2020-2025)
4.2 Global AI-based Document Search Forecasted Market Size by Type (2026-2031)
5 AI-based Document Search Breakdown Data by Application
5.1 Global AI-based Document Search Historic Market Size by Application (2020-2025)
5.2 Global AI-based Document Search Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America AI-based Document Search Market Size (2020-2031)
6.2 North America AI-based Document Search Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America AI-based Document Search Market Size by Country (2020-2025)
6.4 North America AI-based Document Search Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-based Document Search Market Size (2020-2031)
7.2 Europe AI-based Document Search Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe AI-based Document Search Market Size by Country (2020-2025)
7.4 Europe AI-based Document Search Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI-based Document Search Market Size (2020-2031)
8.2 Asia-Pacific AI-based Document Search Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific AI-based Document Search Market Size by Region (2020-2025)
8.4 Asia-Pacific AI-based Document Search Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI-based Document Search Market Size (2020-2031)
9.2 Latin America AI-based Document Search Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America AI-based Document Search Market Size by Country (2020-2025)
9.4 Latin America AI-based Document Search Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-based Document Search Market Size (2020-2031)
10.2 Middle East & Africa AI-based Document Search Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa AI-based Document Search Market Size by Country (2020-2025)
10.4 Middle East & Africa AI-based Document Search Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Details
11.1.2 Microsoft Business Overview
11.1.3 Microsoft AI-based Document Search Introduction
11.1.4 Microsoft Revenue in AI-based Document Search Business (2020-2025)
11.1.5 Microsoft Recent Development
11.2 Google Cloud
11.2.1 Google Cloud Company Details
11.2.2 Google Cloud Business Overview
11.2.3 Google Cloud AI-based Document Search Introduction
11.2.4 Google Cloud Revenue in AI-based Document Search Business (2020-2025)
11.2.5 Google Cloud Recent Development
11.3 IBM
11.3.1 IBM Company Details
11.3.2 IBM Business Overview
11.3.3 IBM AI-based Document Search Introduction
11.3.4 IBM Revenue in AI-based Document Search Business (2020-2025)
11.3.5 IBM Recent Development
11.4 Accenture
11.4.1 Accenture Company Details
11.4.2 Accenture Business Overview
11.4.3 Accenture AI-based Document Search Introduction
11.4.4 Accenture Revenue in AI-based Document Search Business (2020-2025)
11.4.5 Accenture Recent Development
11.5 QuikFynd Inc
11.5.1 QuikFynd Inc Company Details
11.5.2 QuikFynd Inc Business Overview
11.5.3 QuikFynd Inc AI-based Document Search Introduction
11.5.4 QuikFynd Inc Revenue in AI-based Document Search Business (2020-2025)
11.5.5 QuikFynd Inc Recent Development
11.6 Loome
11.6.1 Loome Company Details
11.6.2 Loome Business Overview
11.6.3 Loome AI-based Document Search Introduction
11.6.4 Loome Revenue in AI-based Document Search Business (2020-2025)
11.6.5 Loome Recent Development
11.7 Sentieo
11.7.1 Sentieo Company Details
11.7.2 Sentieo Business Overview
11.7.3 Sentieo AI-based Document Search Introduction
11.7.4 Sentieo Revenue in AI-based Document Search Business (2020-2025)
11.7.5 Sentieo Recent Development
11.8 Bigle Legal
11.8.1 Bigle Legal Company Details
11.8.2 Bigle Legal Business Overview
11.8.3 Bigle Legal AI-based Document Search Introduction
11.8.4 Bigle Legal Revenue in AI-based Document Search Business (2020-2025)
11.8.5 Bigle Legal Recent Development
11.9 Lucidworks
11.9.1 Lucidworks Company Details
11.9.2 Lucidworks Business Overview
11.9.3 Lucidworks AI-based Document Search Introduction
11.9.4 Lucidworks Revenue in AI-based Document Search Business (2020-2025)
11.9.5 Lucidworks Recent Development
11.10 Algolia
11.10.1 Algolia Company Details
11.10.2 Algolia Business Overview
11.10.3 Algolia AI-based Document Search Introduction
11.10.4 Algolia Revenue in AI-based Document Search Business (2020-2025)
11.10.5 Algolia Recent Development
11.11 Coveo
11.11.1 Coveo Company Details
11.11.2 Coveo Business Overview
11.11.3 Coveo AI-based Document Search Introduction
11.11.4 Coveo Revenue in AI-based Document Search Business (2020-2025)
11.11.5 Coveo Recent Development
11.12 Elastic
11.12.1 Elastic Company Details
11.12.2 Elastic Business Overview
11.12.3 Elastic AI-based Document Search Introduction
11.12.4 Elastic Revenue in AI-based Document Search Business (2020-2025)
11.12.5 Elastic Recent Development
11.13 ROSS Intelligence
11.13.1 ROSS Intelligence Company Details
11.13.2 ROSS Intelligence Business Overview
11.13.3 ROSS Intelligence AI-based Document Search Introduction
11.13.4 ROSS Intelligence Revenue in AI-based Document Search Business (2020-2025)
11.13.5 ROSS Intelligence Recent Development
11.14 Evisort
11.14.1 Evisort Company Details
11.14.2 Evisort Business Overview
11.14.3 Evisort AI-based Document Search Introduction
11.14.4 Evisort Revenue in AI-based Document Search Business (2020-2025)
11.14.5 Evisort Recent Development
11.15 Sinequa
11.15.1 Sinequa Company Details
11.15.2 Sinequa Business Overview
11.15.3 Sinequa AI-based Document Search Introduction
11.15.4 Sinequa Revenue in AI-based Document Search Business (2020-2025)
11.15.5 Sinequa Recent Development
11.16 Hebbia
11.16.1 Hebbia Company Details
11.16.2 Hebbia Business Overview
11.16.3 Hebbia AI-based Document Search Introduction
11.16.4 Hebbia Revenue in AI-based Document Search Business (2020-2025)
11.16.5 Hebbia Recent Development
11.17 Safe Online
11.17.1 Safe Online Company Details
11.17.2 Safe Online Business Overview
11.17.3 Safe Online AI-based Document Search Introduction
11.17.4 Safe Online Revenue in AI-based Document Search Business (2020-2025)
11.17.5 Safe Online Recent Development
11.18 Hyarchis
11.18.1 Hyarchis Company Details
11.18.2 Hyarchis Business Overview
11.18.3 Hyarchis AI-based Document Search Introduction
11.18.4 Hyarchis Revenue in AI-based Document Search Business (2020-2025)
11.18.5 Hyarchis Recent Development
11.19 Onior
11.19.1 Onior Company Details
11.19.2 Onior Business Overview
11.19.3 Onior AI-based Document Search Introduction
11.19.4 Onior Revenue in AI-based Document Search Business (2020-2025)
11.19.5 Onior Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Microsoft
Google Cloud
IBM
Accenture
QuikFynd Inc
Loome
Sentieo
Bigle Legal
Lucidworks
Algolia
Coveo
Elastic
ROSS Intelligence
Evisort
Sinequa
Hebbia
Safe Online
Hyarchis
Onior

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