Global Document AI Market Research Report 2025

Publication ID:

PB501257870

Publication Date:

January 14, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Document AI was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast period.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.130%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for Document AI, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Document AI.
The Document AI market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Document AI 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 Document AI 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
Google Cloud
Oracle
IBM
AWS
Accenture
Microsoft
EdgeVerve
Scale AI
Docsumo
Helm & Nagel GmbH
Coforge
Thinking Machines
Kdan Mobile Software
Segment by Type
On-premise
Cloud-based
Segment by Application
Bank
Insurance Company
Finance Company
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 Document AI 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 Document AI 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 Document AI Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Bank
1.3.3 Insurance Company
1.3.4 Finance Company
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Document AI Market Perspective (2020-2031)
2.2 Global Document AI Growth Trends by Region
2.2.1 Global Document AI Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Document AI Historic Market Size by Region (2020-2025)
2.2.3 Document AI Forecasted Market Size by Region (2026-2031)
2.3 Document AI Market Dynamics
2.3.1 Document AI Industry Trends
2.3.2 Document AI Market Drivers
2.3.3 Document AI Market Challenges
2.3.4 Document AI Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Document AI Players by Revenue
3.1.1 Global Top Document AI Players by Revenue (2020-2025)
3.1.2 Global Document AI Revenue Market Share by Players (2020-2025)
3.2 Global Document AI Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Document AI Revenue
3.4 Global Document AI Market Concentration Ratio
3.4.1 Global Document AI Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Document AI Revenue in 2024
3.5 Global Key Players of Document AI Head office and Area Served
3.6 Global Key Players of Document AI, Product and Application
3.7 Global Key Players of Document AI, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Document AI Breakdown Data by Type
4.1 Global Document AI Historic Market Size by Type (2020-2025)
4.2 Global Document AI Forecasted Market Size by Type (2026-2031)
5 Document AI Breakdown Data by Application
5.1 Global Document AI Historic Market Size by Application (2020-2025)
5.2 Global Document AI Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Document AI Market Size (2020-2031)
6.2 North America Document AI Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Document AI Market Size by Country (2020-2025)
6.4 North America Document AI Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Document AI Market Size (2020-2031)
7.2 Europe Document AI Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Document AI Market Size by Country (2020-2025)
7.4 Europe Document AI 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 Document AI Market Size (2020-2031)
8.2 Asia-Pacific Document AI Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Document AI Market Size by Region (2020-2025)
8.4 Asia-Pacific Document AI 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 Document AI Market Size (2020-2031)
9.2 Latin America Document AI Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Document AI Market Size by Country (2020-2025)
9.4 Latin America Document AI Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Document AI Market Size (2020-2031)
10.2 Middle East & Africa Document AI Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Document AI Market Size by Country (2020-2025)
10.4 Middle East & Africa Document AI Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google Cloud
11.1.1 Google Cloud Company Details
11.1.2 Google Cloud Business Overview
11.1.3 Google Cloud Document AI Introduction
11.1.4 Google Cloud Revenue in Document AI Business (2020-2025)
11.1.5 Google Cloud Recent Development
11.2 Oracle
11.2.1 Oracle Company Details
11.2.2 Oracle Business Overview
11.2.3 Oracle Document AI Introduction
11.2.4 Oracle Revenue in Document AI Business (2020-2025)
11.2.5 Oracle Recent Development
11.3 IBM
11.3.1 IBM Company Details
11.3.2 IBM Business Overview
11.3.3 IBM Document AI Introduction
11.3.4 IBM Revenue in Document AI Business (2020-2025)
11.3.5 IBM Recent Development
11.4 AWS
11.4.1 AWS Company Details
11.4.2 AWS Business Overview
11.4.3 AWS Document AI Introduction
11.4.4 AWS Revenue in Document AI Business (2020-2025)
11.4.5 AWS Recent Development
11.5 Accenture
11.5.1 Accenture Company Details
11.5.2 Accenture Business Overview
11.5.3 Accenture Document AI Introduction
11.5.4 Accenture Revenue in Document AI Business (2020-2025)
11.5.5 Accenture Recent Development
11.6 Microsoft
11.6.1 Microsoft Company Details
11.6.2 Microsoft Business Overview
11.6.3 Microsoft Document AI Introduction
11.6.4 Microsoft Revenue in Document AI Business (2020-2025)
11.6.5 Microsoft Recent Development
11.7 EdgeVerve
11.7.1 EdgeVerve Company Details
11.7.2 EdgeVerve Business Overview
11.7.3 EdgeVerve Document AI Introduction
11.7.4 EdgeVerve Revenue in Document AI Business (2020-2025)
11.7.5 EdgeVerve Recent Development
11.8 Scale AI
11.8.1 Scale AI Company Details
11.8.2 Scale AI Business Overview
11.8.3 Scale AI Document AI Introduction
11.8.4 Scale AI Revenue in Document AI Business (2020-2025)
11.8.5 Scale AI Recent Development
11.9 Docsumo
11.9.1 Docsumo Company Details
11.9.2 Docsumo Business Overview
11.9.3 Docsumo Document AI Introduction
11.9.4 Docsumo Revenue in Document AI Business (2020-2025)
11.9.5 Docsumo Recent Development
11.10 Helm & Nagel GmbH
11.10.1 Helm & Nagel GmbH Company Details
11.10.2 Helm & Nagel GmbH Business Overview
11.10.3 Helm & Nagel GmbH Document AI Introduction
11.10.4 Helm & Nagel GmbH Revenue in Document AI Business (2020-2025)
11.10.5 Helm & Nagel GmbH Recent Development
11.11 Coforge
11.11.1 Coforge Company Details
11.11.2 Coforge Business Overview
11.11.3 Coforge Document AI Introduction
11.11.4 Coforge Revenue in Document AI Business (2020-2025)
11.11.5 Coforge Recent Development
11.12 Thinking Machines
11.12.1 Thinking Machines Company Details
11.12.2 Thinking Machines Business Overview
11.12.3 Thinking Machines Document AI Introduction
11.12.4 Thinking Machines Revenue in Document AI Business (2020-2025)
11.12.5 Thinking Machines Recent Development
11.13 Kdan Mobile Software
11.13.1 Kdan Mobile Software Company Details
11.13.2 Kdan Mobile Software Business Overview
11.13.3 Kdan Mobile Software Document AI Introduction
11.13.4 Kdan Mobile Software Revenue in Document AI Business (2020-2025)
11.13.5 Kdan Mobile Software 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:

Google Cloud
Oracle
IBM
AWS
Accenture
Microsoft
EdgeVerve
Scale AI
Docsumo
Helm & Nagel GmbH
Coforge
Thinking Machines
Kdan Mobile Software

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