APO RESEARCH · REPORT
Natural Language Processing (NLP)
Natural language processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language (spoken or written data), not in the artificial languages such as Java and C++.
Product & engineering
Understand the product.
Natural language processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language (spoken or written data), not in the artificial languages such as Java and C++.
Selected research
Industry Research
Natural Language Processing (NLP) Industry Research Report 2026
Market perspective
Natural language processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language (spoken or written data), not in the artificial languages such as Java and C++.
Global Natural Language Processing (NLP) key players include 3M, Linguamatics, Amazon AWS, etc. Global top three manufacturers hold a share about 35%.
United States is the largest market, with a share about 65%, followed by Europe and China, both have a share about 25 percent.
Read the full market overview
In terms of product, Machine Translation is the largest segment, with a share about 45%. And in terms of application, the largest application is Electronic Health Records (EHR), followed by Computer-Assisted Coding (CAC).
Report Scope
This report quantifies the global Natural Language Processing (NLP) market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to Natural Language Processing (NLP).
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
Natural Language Processing (NLP) Market by Company
Microsoft
IBM
3M
Amazon AWS
SAS
Appen
Dolbey Systems
IQVIA Linguamatics
Verint Systems
NetBase Quid
HPE
Baidu
Huawei
Natural Language Processing (NLP) Segment by Type
Machine Translation
Information Extraction
Text and Voice Processing
Others
Natural Language Processing (NLP) Segment by End User
Large Enterprises
Small and Medium Enterprises
Natural Language Processing (NLP) Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Natural Language Processing (NLP) market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Natural Language Processing (NLP) and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Natural Language Processing (NLP).
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, 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 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments 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 5: 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 6: Detailed analysis of Natural Language Processing (NLP) companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South 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 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Machine Translation
- Information Extraction
- Text and Voice Processing
- Others
Applications
- Large Enterprises
- Small and Medium Enterprises
Companies covered
- Microsoft
- IBM
- 3M
- Amazon AWS
- SAS
- Appen
- Dolbey Systems
- IQVIA Linguamatics
- Verint Systems
- NetBase Quid
- HPE
- Baidu
- Huawei
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 Natural Language Processing (NLP) by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Machine Translation
- 2.2.3 Information Extraction
- 2.2.4 Text and Voice Processing
- 2.2.5 Others
- 2.3 Natural Language Processing (NLP) by End User
- 2.3.1 Market Value Comparison by End User (2021 VS 2025 VS 2032)
- 2.3.2 Large Enterprises
- 2.3.3 Small and Medium Enterprises
- 2.4 Assumptions and Limitations
3 Natural Language Processing (NLP) Breakdown Data by Type
- 3.1 Global Natural Language Processing (NLP) Historic Market Size by Type (2021-2026)
- 3.2 Global Natural Language Processing (NLP) Forecasted Market Size by Type (2027-2032)
4 Natural Language Processing (NLP) Breakdown Data by End User
- 4.1 Global Natural Language Processing (NLP) Historic Market Size by End User (2021-2026)
- 4.2 Global Natural Language Processing (NLP) Forecasted Market Size by End User (2027-2032)
5 Global Growth Trends
- 5.1 Global Natural Language Processing (NLP) Market Perspective (2021-2032)
- 5.2 Global Natural Language Processing (NLP) Growth Trends by Region
- 5.2.1 Global Natural Language Processing (NLP) Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 Natural Language Processing (NLP) Historic Market Size by Region (2021-2026)
- 5.2.3 Natural Language Processing (NLP) Forecasted Market Size by Region (2027-2032)
- 5.3 Natural Language Processing (NLP) Market Dynamics
- 5.3.1 Natural Language Processing (NLP) Industry Trends
- 5.3.2 Natural Language Processing (NLP) Market Drivers
- 5.3.3 Natural Language Processing (NLP) Market Challenges
- 5.3.4 Natural Language Processing (NLP) Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top Natural Language Processing (NLP) Players by Revenue
- 6.1.1 Global Top Natural Language Processing (NLP) Players by Revenue (2021-2026)
- 6.1.2 Global Natural Language Processing (NLP) Revenue Market Share by Players (2021-2026)
- 6.2 Global Natural Language Processing (NLP) Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of Natural Language Processing (NLP) Head Office and Area Served
- 6.4 Global Natural Language Processing (NLP) Players, Product Type & Application
- 6.5 Global Natural Language Processing (NLP) Manufacturers Established Date
- 6.6 Global Natural Language Processing (NLP) Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America Natural Language Processing (NLP) Market Size (2021-2032)
- 7.2 North America Natural Language Processing (NLP) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America Natural Language Processing (NLP) Market Size by Country (2021-2026)
- 7.4 North America Natural Language Processing (NLP) Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe Natural Language Processing (NLP) Market Size (2021-2032)
- 8.2 Europe Natural Language Processing (NLP) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe Natural Language Processing (NLP) Market Size by Country (2021-2026)
- 8.4 Europe Natural Language Processing (NLP) Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific Natural Language Processing (NLP) Market Size (2021-2032)
- 9.2 Asia-Pacific Natural Language Processing (NLP) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific Natural Language Processing (NLP) Market Size by Country (2021-2026)
- 9.4 Asia-Pacific Natural Language Processing (NLP) Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America Natural Language Processing (NLP) Market Size (2021-2032)
- 10.2 South America Natural Language Processing (NLP) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America Natural Language Processing (NLP) Market Size by Country (2021-2026)
- 10.4 South America Natural Language Processing (NLP) Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa Natural Language Processing (NLP) Market Size (2021-2032)
- 11.2 Middle East & Africa Natural Language Processing (NLP) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa Natural Language Processing (NLP) Market Size by Country (2021-2026)
- 11.4 Middle East & Africa Natural Language Processing (NLP) Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 Microsoft
- 12.1.1 Microsoft Company Information
- 12.1.2 Microsoft Business Overview
- 12.1.3 Microsoft Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.1.4 Microsoft Natural Language Processing (NLP) Product Portfolio
- 12.1.5 Microsoft Recent Developments
- 12.2 IBM
- 12.2.1 IBM Company Information
- 12.2.2 IBM Business Overview
- 12.2.3 IBM Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.2.4 IBM Natural Language Processing (NLP) Product Portfolio
- 12.2.5 IBM Recent Developments
- 12.3 3M
- 12.3.1 3M Company Information
- 12.3.2 3M Business Overview
- 12.3.3 3M Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.3.4 3M Natural Language Processing (NLP) Product Portfolio
- 12.3.5 3M Recent Developments
- 12.4 Amazon AWS
- 12.4.1 Amazon AWS Company Information
- 12.4.2 Amazon AWS Business Overview
- 12.4.3 Amazon AWS Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.4.4 Amazon AWS Natural Language Processing (NLP) Product Portfolio
- 12.4.5 Amazon AWS Recent Developments
- 12.5 SAS
- 12.5.1 SAS Company Information
- 12.5.2 SAS Business Overview
- 12.5.3 SAS Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.5.4 SAS Natural Language Processing (NLP) Product Portfolio
- 12.5.5 SAS Recent Developments
- 12.6 Google
- 12.6.1 Google Company Information
- 12.6.2 Google Business Overview
- 12.6.3 Google Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.6.4 Google Natural Language Processing (NLP) Product Portfolio
- 12.6.5 Google Recent Developments
- 12.7 Appen
- 12.7.1 Appen Company Information
- 12.7.2 Appen Business Overview
- 12.7.3 Appen Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.7.4 Appen Natural Language Processing (NLP) Product Portfolio
- 12.7.5 Appen Recent Developments
- 12.8 Dolbey Systems
- 12.8.1 Dolbey Systems Company Information
- 12.8.2 Dolbey Systems Business Overview
- 12.8.3 Dolbey Systems Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.8.4 Dolbey Systems Natural Language Processing (NLP) Product Portfolio
- 12.8.5 Dolbey Systems Recent Developments
- 12.9 IQVIA Linguamatics
- 12.9.1 IQVIA Linguamatics Company Information
- 12.9.2 IQVIA Linguamatics Business Overview
- 12.9.3 IQVIA Linguamatics Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.9.4 IQVIA Linguamatics Natural Language Processing (NLP) Product Portfolio
- 12.9.5 IQVIA Linguamatics Recent Developments
- 12.10 Verint Systems
- 12.10.1 Verint Systems Company Information
- 12.10.2 Verint Systems Business Overview
- 12.10.3 Verint Systems Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.10.4 Verint Systems Natural Language Processing (NLP) Product Portfolio
- 12.10.5 Verint Systems Recent Developments
- 12.11 NetBase Quid
- 12.11.1 NetBase Quid Company Information
- 12.11.2 NetBase Quid Business Overview
- 12.11.3 NetBase Quid Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.11.4 NetBase Quid Natural Language Processing (NLP) Product Portfolio
- 12.11.5 NetBase Quid Recent Developments
- 12.12 HPE
- 12.12.1 HPE Company Information
- 12.12.2 HPE Business Overview
- 12.12.3 HPE Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.12.4 HPE Natural Language Processing (NLP) Product Portfolio
- 12.12.5 HPE Recent Developments
- 12.13 Baidu
- 12.13.1 Baidu Company Information
- 12.13.2 Baidu Business Overview
- 12.13.3 Baidu Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.13.4 Baidu Natural Language Processing (NLP) Product Portfolio
- 12.13.5 Baidu Recent Developments
- 12.14 Huawei
- 12.14.1 Huawei Company Information
- 12.14.2 Huawei Business Overview
- 12.14.3 Huawei Revenue in Natural Language Processing (NLP) Business (2021-2026)
- 12.14.4 Huawei Natural Language Processing (NLP) Product Portfolio
- 12.14.5 Huawei Recent Developments
13 Report Conclusion
14 Disclaimer
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