Global Natural Language Processing (NLP) Industry Growth and Trends Forecast to 2031
Description
Summary
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++.
According to APO Research, The global Natural Language Processing (NLP) market was estimated at US$ million in 2025 and is projected to reach a revised size of US$ million by 2031, witnessing a CAGR of xx% during the forecast period 2026-2031.
North American market for Natural Language Processing (NLP) is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2026 through 2031.
Asia-Pacific market for Natural Language Processing (NLP) is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2026 through 2031.
Europe market for Natural Language Processing (NLP) is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2026 through 2031.
The major global companies of Natural Language Processing (NLP) include Microsoft, IBM, 3M, Amazon AWS, SAS, Google, Appen, Dolbey Systems and IQVIA Linguamatics, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Natural Language Processing (NLP), 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 Natural Language Processing (NLP).
The Natural Language Processing (NLP) market size, estimations, and forecasts are provided in terms of 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 Natural Language Processing (NLP) 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.
Key Companies & Market Share Insights
In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue, gross margin by manufacturers for the period 2020-2025. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses.
Natural Language Processing (NLP) Segment by Company
Microsoft
IBM
3M
Amazon AWS
SAS
Google
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
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
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 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: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2020-2025, 2026-2031). 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: 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 3: 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 4: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 5: Detailed analysis of Natural Language Processing (NLP) companies' competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 6: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter 7, 8, 9, 10 and 11: North America, Europe, Asia Pacific, South America, Middle East & Africa, revenue by country.
Chapter 12: Concluding Insights of the report
Please Note: Single-User license will be delivered via PDF from the publisher without the rights to print or to edit.
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++.
According to APO Research, The global Natural Language Processing (NLP) market was estimated at US$ million in 2025 and is projected to reach a revised size of US$ million by 2031, witnessing a CAGR of xx% during the forecast period 2026-2031.
North American market for Natural Language Processing (NLP) is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2026 through 2031.
Asia-Pacific market for Natural Language Processing (NLP) is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2026 through 2031.
Europe market for Natural Language Processing (NLP) is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2026 through 2031.
The major global companies of Natural Language Processing (NLP) include Microsoft, IBM, 3M, Amazon AWS, SAS, Google, Appen, Dolbey Systems and IQVIA Linguamatics, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Natural Language Processing (NLP), 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 Natural Language Processing (NLP).
The Natural Language Processing (NLP) market size, estimations, and forecasts are provided in terms of 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 Natural Language Processing (NLP) 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.
Key Companies & Market Share Insights
In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue, gross margin by manufacturers for the period 2020-2025. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses.
Natural Language Processing (NLP) Segment 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
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
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 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: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2020-2025, 2026-2031). 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: 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 3: 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 4: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 5: Detailed analysis of Natural Language Processing (NLP) companies' competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 6: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter 7, 8, 9, 10 and 11: North America, Europe, Asia Pacific, South America, Middle East & Africa, revenue by country.
Chapter 12: Concluding Insights of the report
Please Note: Single-User license will be delivered via PDF from the publisher without the rights to print or to edit.
Table of Contents
104 Pages
- 1 Market Overview
- 1.1 Product Definition
- 1.2 Global Market Growth Prospects
- 1.3 Global Natural Language Processing (NLP) Market Size Overview by Region 2020 VS 2024 VS 2031
- 1.4 Global Natural Language Processing (NLP) Market Size by Region (2020-2031)
- 1.4.1 Global Natural Language Processing (NLP) Market Size by Region (2020-2025)
- 1.4.2 Global Natural Language Processing (NLP) Market Size by Region (2026-2031)
- 1.5 Key Regions Natural Language Processing (NLP) Market Size (2020-2031)
- 1.5.1 North America Natural Language Processing (NLP) Market Size Growth Rate (2020-2031)
- 1.5.2 Europe Natural Language Processing (NLP) Market Size Growth Rate (2020-2031)
- 1.5.3 Asia-Pacific Natural Language Processing (NLP) Market Size Growth Rate (2020-2031)
- 1.5.4 South America Natural Language Processing (NLP) Market Size Growth Rate (2020-2031)
- 1.5.5 Middle East & Africa Natural Language Processing (NLP) Market Size Growth Rate (2020-2031)
- 2 Natural Language Processing (NLP) Market by Type
- 2.1 Type Introduction
- 2.1.1 Machine Translation
- 2.1.2 Information Extraction
- 2.1.3 Text and Voice Processing
- 2.1.4 Others
- 2.2 Global Natural Language Processing (NLP) Market Size by Type
- 2.2.1 Global Natural Language Processing (NLP) Market Size Overview by Type (2020-2031)
- 2.2.2 Global Natural Language Processing (NLP) Historic Market Size Review by Type (2020-2025)
- 2.2.3 Global Natural Language Processing (NLP) Market Size Forecasted by Type (2026-2031)
- 2.3 Global Natural Language Processing (NLP) Market Size by Regions
- 2.3.1 North America Natural Language Processing (NLP) Market Size Breakdown by Type (2020-2025)
- 2.3.2 Europe Natural Language Processing (NLP) Market Size Breakdown by Type (2020-2025)
- 2.3.3 Asia-Pacific Natural Language Processing (NLP) Market Size Breakdown by Type (2020-2025)
- 2.3.4 South America Natural Language Processing (NLP) Market Size Breakdown by Type (2020-2025)
- 2.3.5 Middle East and Africa Natural Language Processing (NLP) Market Size Breakdown by Type (2020-2025)
- 3 Natural Language Processing (NLP) Market by End User
- 3.1 Type Introduction
- 3.1.1 Large Enterprises
- 3.1.2 Small and Medium Enterprises
- 3.2 Global Natural Language Processing (NLP) Market Size by End User
- 3.2.1 Global Natural Language Processing (NLP) Market Size Overview by End User (2020-2031)
- 3.2.2 Global Natural Language Processing (NLP) Historic Market Size Review by End User (2020-2025)
- 3.2.3 Global Natural Language Processing (NLP) Market Size Forecasted by End User (2026-2031)
- 3.3 Global Natural Language Processing (NLP) Market Size by Regions
- 3.3.1 North America Natural Language Processing (NLP) Market Size Breakdown by End User (2020-2025)
- 3.3.2 Europe Natural Language Processing (NLP) Market Size Breakdown by End User (2020-2025)
- 3.3.3 Asia-Pacific Natural Language Processing (NLP) Market Size Breakdown by End User (2020-2025)
- 3.3.4 South America Natural Language Processing (NLP) Market Size Breakdown by End User (2020-2025)
- 3.3.5 Middle East and Africa Natural Language Processing (NLP) Market Size Breakdown by End User (2020-2025)
- 4 Global Market Dynamics
- 4.1 Natural Language Processing (NLP) Industry Trends
- 4.2 Natural Language Processing (NLP) Industry Drivers
- 4.3 Natural Language Processing (NLP) Industry Opportunities and Challenges
- 4.4 Natural Language Processing (NLP) Industry Restraints
- 5 Competitive Insights by Company
- 5.1 Global Top Players by Natural Language Processing (NLP) Revenue (2020-2025)
- 5.2 Global Natural Language Processing (NLP) Industry Company Ranking, 2023 VS 2024 VS 2025
- 5.3 Global Natural Language Processing (NLP) Key Company Headquarters & Area Served
- 5.4 Global Natural Language Processing (NLP) Company, Product Type & Application
- 5.5 Global Natural Language Processing (NLP) Company Commercialization Time
- 5.6 Market Competitive Analysis
- 5.6.1 Global Natural Language Processing (NLP) Market CR5 and HHI
- 5.6.2 Global Top 5 and 10 Natural Language Processing (NLP) Players Market Share by Revenue in 2024
- 5.6.3 2024 Natural Language Processing (NLP) Tier 1, Tier 2, and Tier 3
- 6 Company Profiles
- 6.1 Microsoft
- 6.1.1 Microsoft Comapny Information
- 6.1.2 Microsoft Business Overview
- 6.1.3 Microsoft Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.1.4 Microsoft Natural Language Processing (NLP) Product Portfolio
- 6.1.5 Microsoft Recent Developments
- 6.2 IBM
- 6.2.1 IBM Comapny Information
- 6.2.2 IBM Business Overview
- 6.2.3 IBM Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.2.4 IBM Natural Language Processing (NLP) Product Portfolio
- 6.2.5 IBM Recent Developments
- 6.3 3M
- 6.3.1 3M Comapny Information
- 6.3.2 3M Business Overview
- 6.3.3 3M Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.3.4 3M Natural Language Processing (NLP) Product Portfolio
- 6.3.5 3M Recent Developments
- 6.4 Amazon AWS
- 6.4.1 Amazon AWS Comapny Information
- 6.4.2 Amazon AWS Business Overview
- 6.4.3 Amazon AWS Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.4.4 Amazon AWS Natural Language Processing (NLP) Product Portfolio
- 6.4.5 Amazon AWS Recent Developments
- 6.5 SAS
- 6.5.1 SAS Comapny Information
- 6.5.2 SAS Business Overview
- 6.5.3 SAS Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.5.4 SAS Natural Language Processing (NLP) Product Portfolio
- 6.5.5 SAS Recent Developments
- 6.6 Google
- 6.6.1 Google Comapny Information
- 6.6.2 Google Business Overview
- 6.6.3 Google Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.6.4 Google Natural Language Processing (NLP) Product Portfolio
- 6.6.5 Google Recent Developments
- 6.7 Appen
- 6.7.1 Appen Comapny Information
- 6.7.2 Appen Business Overview
- 6.7.3 Appen Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.7.4 Appen Natural Language Processing (NLP) Product Portfolio
- 6.7.5 Appen Recent Developments
- 6.8 Dolbey Systems
- 6.8.1 Dolbey Systems Comapny Information
- 6.8.2 Dolbey Systems Business Overview
- 6.8.3 Dolbey Systems Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.8.4 Dolbey Systems Natural Language Processing (NLP) Product Portfolio
- 6.8.5 Dolbey Systems Recent Developments
- 6.9 IQVIA Linguamatics
- 6.9.1 IQVIA Linguamatics Comapny Information
- 6.9.2 IQVIA Linguamatics Business Overview
- 6.9.3 IQVIA Linguamatics Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.9.4 IQVIA Linguamatics Natural Language Processing (NLP) Product Portfolio
- 6.9.5 IQVIA Linguamatics Recent Developments
- 6.10 Verint Systems
- 6.10.1 Verint Systems Comapny Information
- 6.10.2 Verint Systems Business Overview
- 6.10.3 Verint Systems Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.10.4 Verint Systems Natural Language Processing (NLP) Product Portfolio
- 6.10.5 Verint Systems Recent Developments
- 6.11 NetBase Quid
- 6.11.1 NetBase Quid Comapny Information
- 6.11.2 NetBase Quid Business Overview
- 6.11.3 NetBase Quid Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.11.4 NetBase Quid Natural Language Processing (NLP) Product Portfolio
- 6.11.5 NetBase Quid Recent Developments
- 6.12 HPE
- 6.12.1 HPE Comapny Information
- 6.12.2 HPE Business Overview
- 6.12.3 HPE Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.12.4 HPE Natural Language Processing (NLP) Product Portfolio
- 6.12.5 HPE Recent Developments
- 6.13 Baidu
- 6.13.1 Baidu Comapny Information
- 6.13.2 Baidu Business Overview
- 6.13.3 Baidu Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.13.4 Baidu Natural Language Processing (NLP) Product Portfolio
- 6.13.5 Baidu Recent Developments
- 6.14 Huawei
- 6.14.1 Huawei Comapny Information
- 6.14.2 Huawei Business Overview
- 6.14.3 Huawei Natural Language Processing (NLP) Revenue, Global Share and Gross Margin (2020-2025)
- 6.14.4 Huawei Natural Language Processing (NLP) Product Portfolio
- 6.14.5 Huawei Recent Developments
- 7 North America
- 7.1 North America Natural Language Processing (NLP) Market Size Growth Rate (CAGR) by Country: 2020 VS 2024 VS 2031
- 7.2 North America Natural Language Processing (NLP) Market Size by Country (2020-2025)
- 7.3 North America Natural Language Processing (NLP) Market Size Forecast by Country (2026-2031)
- 8 Europe
- 8.1 Europe Natural Language Processing (NLP) Market Size Growth Rate (CAGR) by Country: 2020 VS 2024 VS 2031
- 8.2 Europe Natural Language Processing (NLP) Market Size by Country (2020-2025)
- 8.3 Europe Natural Language Processing (NLP) Market Size Forecast by Country (2026-2031)
- 9 Asia-Pacific
- 9.1 Asia-Pacific Natural Language Processing (NLP) Market Size Growth Rate (CAGR) by Country: 2020 VS 2024 VS 2031
- 9.2 Asia-Pacific Natural Language Processing (NLP) Market Size by Country (2020-2025)
- 9.3 Asia-Pacific Natural Language Processing (NLP) Market Size Forecast by Country (2026-2031)
- 10 South America
- 10.1 South America Natural Language Processing (NLP) Market Size Growth Rate (CAGR) by Country: 2020 VS 2024 VS 2031
- 10.2 South America Natural Language Processing (NLP) Market Size by Country (2020-2025)
- 10.3 South America Natural Language Processing (NLP) Market Size Forecast by Country (2026-2031)
- 11 Middle East & Africa
- 11.1 Middle East & Africa Natural Language Processing (NLP) Market Size Growth Rate (CAGR) by Country: 2020 VS 2024 VS 2031
- 11.2 Middle East & Africa Natural Language Processing (NLP) Market Size by Country (2020-2025)
- 11.3 Middle East & Africa Natural Language Processing (NLP) Market Size Forecast by Country (2026-2031)
- 12 Concluding Insights
- 13 Appendix
- 13.1 Reasons for Doing This Study
- 13.2 Research Methodology
- 13.3 Research Process
- 13.4 Authors List of This Report
- 13.5 Data Source
- 13.5.1 Secondary Sources
- 13.5.2 Primary Sources
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