Natural Language Processing Market (By Component; By Deployment Model; By Enterprise Size; By Type; By Application; By End-use) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook and Forecast 2023-2032

The global natural language processing market size was estimated at around USD 27.78 billion in 2022 and it is projected to hit around USD 828.57 billion by 2032, growing at a CAGR of 40.43% from 2023 to 2032.

Natural Language Processing Market Size 2023 to 2032

Key Pointers

  • The solution segment accounted for the dominant revenue share of 72.64% in 2022.
  • The on-premise segment is estimated to account for the leading share of 59.82% in 2022.
  • The large enterprise's segment held the leading revenue share of 61.93% in 2022.
  • The statistical NLP segment held the largest revenue share of 39.36% in 2022.
  • The automatic summarization segment is expected to account for the leading share of 17.61% revenue share in 2022.
  • The healthcare segment is expected to account for a leading share of 22.95% in 2022.
  • The IT & telecommunication segment is projected to witness the highest growth rate during the forecast period.
  • North America is estimated to hold the largest revenue share of 30.77% in 2022.
  • Asia Pacific is projected to expand at the highest CAGR of 42.71% during the forecast period.
Report Coverage Details
Market Size in 2022 USD 27.78 billion
Revenue Forecast by 2032 USD 828.57 billion
Growth rate from 2023 to 2032 CAGR of 40.43%
Base Year 2022
Forecast Period 2023 to 2032
Regions Covered North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Companies Covered 3M; Apple; AWS; Baidu; Google LLC; IBM Corporation; Meta; Microsoft; Oracle Inc.; Inbenta; IQVIA

 

Natural language processing (NLP) is a prominent component of artificial intelligence, it has applications in consumer chatbots and digital assistants and commercial applications like sentiment analysis, text analysis, voice sense (speech analysis), and change effect analysis. The NLP market is witnessing rapid growth owing to the rapid acceptance of novel technology advancements. Additionally, the growing requirement for data management and increased complexity in major businesses is also fostering the growth of the industry.

Increased customer demands for cloud-based technology and advancements in communication infrastructure are accelerating market growth. NLP is the interface between humans and machines, and it comprises executing computer programs and analyzing data. Low cost, high scalability, and high usage of smart devices across industries are expected to contribute to the industry’s expansion over the forecast period. Moreover, the expansion of the e-commerce industry and perception of online sales channels is projected to ascend the demand for NLP for enhancing consumer experience through personal attention and query handling.

Increasing demand for sentiment analytics and content management is augmenting the market expansion. Businesses can utilize sentiment analytics to offer their clients customized deals and discounts based on previous trends. Sentiment analytics is essential for examining consumer behavior and gauging the type of consumers. Moreover, Social media platforms are used by the retail and e-commerce industries because they are a major source of data for sentiment analytics, the anticipation of demand and supply, and enhancement in the consumer experience.

The global COVID-19 outbreak has significantly impacted businesses worldwide. However, the COVID-19 pandemic has positively influenced the adoption of NLP-based services due to the nationwide lockdowns imposed by governments in countries across the globe. Post-COVID-19, enterprises are focused on cutting-edge technology to undertake contactless operations, including artificial intelligence (AI), machine learning (ML), analytics, and computing technology, across industries like BFSI, healthcare, IT, & telecommunication. This contributes to the demand for Al-driven NLP technology, which propels the global natural language processing (NLP) market growth.

Regional Insights

North America is estimated to hold the largest revenue share of 30.77% in 2022. The region dominates AI and machine learning technologies, making it one of the key marketplaces for natural language processing technologies. Further, the prevalence of key market participants in the U.S. drives innovation in the region subsequently fueling the natural language processing market growth. Regional governments are also increasingly encouraging the use of AI, ML, and NLP technologies, which is allowing market participants to expand their presence in the region.

Asia Pacific is projected to expand at the highest CAGR of 42.71% during the forecast period. The growth is attributable to increasing smartphone usage, rapid technological advancements, the digitalization of economies, and government initiatives in developing countries from the region. Furthermore, this region holds leading positions in cutting-edge industries like robotics and has a strong IT infrastructure, software, and service offerings. These factors would create profitable growth prospects for the market.

Natural Language Processing Market Segmentations:

By Component By Deployment By Enterprise Size

Solution

Services

Cloud

On-Premises

Large Enterprises

Small & Medium Enterprises

 

By Type By Application By End-use

Statistical NLP

Rule Based NLP

Hybrid NLP

Sentiment Analysis

Data Extraction

Risk And Threat Detection

Automatic Summarization

Content Management

Language Scoring

Others (Portfolio Monitoring, HR & Recruiting, And Branding & Advertising)

BFSI

IT & Telecommunication

Healthcare

Education

Media & Entertainment

Retail & E-commerce

Others

Frequently Asked Questions

The global natural language processing market size was reached at USD 27.78 billion in 2022 and it is projected to hit around USD 828.57 billion by 2032.

The global natural language processing market is growing at a compound annual growth rate (CAGR) of 40.43% from 2023 to 2032.

The North America region has accounted for the largest natural language processing market share in 2022.

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. End-use Procurement Analysis 

4.3.2. Sales and Distribution Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Natural Language Processing Market 

5.1. COVID-19 Landscape: Natural Language Processing Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Natural Language Processing Market, By Component

8.1. Natural Language Processing Market, by Component, 2023-2032

8.1.1. Solution

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Services

8.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Natural Language Processing Market, By Deployment

9.1. Natural Language Processing Market, by Deployment, 2023-2032

9.1.1. Cloud

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. On-Premises

9.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Natural Language Processing Market, By Enterprise Size

10.1. Natural Language Processing Market, by Enterprise Size, 2023-2032

10.1.1. Large Enterprises

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Small & Medium Enterprises

10.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Natural Language Processing Market, By Type

11.1. Natural Language Processing Market, by Type, 2023-2032

11.1.1. Statistical NLP

11.1.1.1. Market Revenue and Forecast (2020-2032)

11.1.2. Rule Based NLP

11.1.2.1. Market Revenue and Forecast (2020-2032)

11.1.3. Hybrid NLP

11.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 12. Global Natural Language Processing Market, By Application

12.1. Natural Language Processing Market, by Application, 2023-2032

12.1.1. Sentiment Analysis

12.1.1.1. Market Revenue and Forecast (2020-2032)

12.1.2. Data Extraction

12.1.2.1. Market Revenue and Forecast (2020-2032)

12.1.3. Risk And Threat Detection

12.1.3.1. Market Revenue and Forecast (2020-2032)

12.1.4. Automatic Summarization

12.1.4.1. Market Revenue and Forecast (2020-2032)

12.1.5. Content Management

12.1.5.1. Market Revenue and Forecast (2020-2032)

12.1.6. Language Scoring

12.1.6.1. Market Revenue and Forecast (2020-2032)

12.1.7. Others (Portfolio Monitoring, HR & Recruiting, And Branding & Advertising)

12.1.7.1. Market Revenue and Forecast (2020-2032)

Chapter 13. Global Natural Language Processing Market, By End-use

13.1. Natural Language Processing Market, by End-use, 2023-2032

13.1.1. BFSI

13.1.1.1. Market Revenue and Forecast (2020-2032)

13.1.2. IT & Telecommunication

13.1.2.1. Market Revenue and Forecast (2020-2032)

13.1.3. Healthcare

13.1.3.1. Market Revenue and Forecast (2020-2032)

13.1.4. Education

13.1.4.1. Market Revenue and Forecast (2020-2032)

13.1.5. Media & Entertainment

13.1.5.1. Market Revenue and Forecast (2020-2032)

13.1.6. Retail & E-commerce

13.1.6.1. Market Revenue and Forecast (2020-2032)

13.1.7. Others

13.1.7.1. Market Revenue and Forecast (2020-2032)

Chapter 14. Global Natural Language Processing Market, Regional Estimates and Trend Forecast

14.1. North America

14.1.1. Market Revenue and Forecast, by Component (2020-2032)

14.1.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.1.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.1.4. Market Revenue and Forecast, by Type (2020-2032)

14.1.5. Market Revenue and Forecast, by Application (2020-2032)

14.1.6. Market Revenue and Forecast, by End-use (2020-2032)

14.1.7. U.S.

14.1.7.1. Market Revenue and Forecast, by Component (2020-2032)

14.1.7.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.1.7.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.1.7.4. Market Revenue and Forecast, by Type (2020-2032)

14.1.8. Market Revenue and Forecast, by Application (2020-2032)

14.1.8.1. Market Revenue and Forecast, by End-use (2020-2032) 

14.1.9. Rest of North America

14.1.9.1. Market Revenue and Forecast, by Component (2020-2032)

14.1.9.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.1.9.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.1.9.4. Market Revenue and Forecast, by Type (2020-2032)

14.1.10. Market Revenue and Forecast, by Application (2020-2032)

14.1.11. Market Revenue and Forecast, by End-use (2020-2032)

14.1.11.1.

14.2. Europe

14.2.1. Market Revenue and Forecast, by Component (2020-2032)

14.2.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.2.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.2.4. Market Revenue and Forecast, by Type (2020-2032) 

14.2.5. Market Revenue and Forecast, by Application (2020-2032)

14.2.6. Market Revenue and Forecast, by End-use (2020-2032)

14.2.7.

14.2.8. UK

14.2.8.1. Market Revenue and Forecast, by Component (2020-2032)

14.2.8.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.2.8.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.2.9. Market Revenue and Forecast, by Type (2020-2032) 

14.2.10. Market Revenue and Forecast, by Application (2020-2032)

14.2.10.1. Market Revenue and Forecast, by End-use (2020-2032) 

14.2.11. Germany

14.2.11.1. Market Revenue and Forecast, by Component (2020-2032)

14.2.11.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.2.11.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.2.12. Market Revenue and Forecast, by Type (2020-2032)

14.2.13. Market Revenue and Forecast, by Application (2020-2032)

14.2.14. Market Revenue and Forecast, by End-use (2020-2032)

14.2.14.1.

14.2.15. France

14.2.15.1. Market Revenue and Forecast, by Component (2020-2032)

14.2.15.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.2.15.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.2.15.4. Market Revenue and Forecast, by Type (2020-2032)

14.2.16. Market Revenue and Forecast, by Application (2020-2032)

14.2.16.1. Market Revenue and Forecast, by End-use (2020-2032)

14.2.17. Rest of Europe

14.2.17.1. Market Revenue and Forecast, by Component (2020-2032)

14.2.17.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.2.17.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.2.17.4. Market Revenue and Forecast, by Type (2020-2032)

14.2.18. Market Revenue and Forecast, by Application (2020-2032)

14.2.18.1. Market Revenue and Forecast, by End-use (2020-2032)

14.3. APAC

14.3.1. Market Revenue and Forecast, by Component (2020-2032)

14.3.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.3.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.3.4. Market Revenue and Forecast, by Type (2020-2032)

14.3.5. Market Revenue and Forecast, by Application (2020-2032)

14.3.6. Market Revenue and Forecast, by End-use (2020-2032)

14.3.7. India

14.3.7.1. Market Revenue and Forecast, by Component (2020-2032)

14.3.7.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.3.7.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.3.7.4. Market Revenue and Forecast, by Type (2020-2032)

14.3.8. Market Revenue and Forecast, by Application (2020-2032)

14.3.9. Market Revenue and Forecast, by End-use (2020-2032)

14.3.10. China

14.3.10.1. Market Revenue and Forecast, by Component (2020-2032)

14.3.10.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.3.10.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.3.10.4. Market Revenue and Forecast, by Type (2020-2032)

14.3.11. Market Revenue and Forecast, by Application (2020-2032)

14.3.11.1. Market Revenue and Forecast, by End-use (2020-2032)

14.3.12. Japan

14.3.12.1. Market Revenue and Forecast, by Component (2020-2032)

14.3.12.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.3.12.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.3.12.4. Market Revenue and Forecast, by Type (2020-2032)

14.3.12.5. Market Revenue and Forecast, by Application (2020-2032)

14.3.12.6. Market Revenue and Forecast, by End-use (2020-2032)

14.3.13. Rest of APAC

14.3.13.1. Market Revenue and Forecast, by Component (2020-2032)

14.3.13.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.3.13.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.3.13.4. Market Revenue and Forecast, by Type (2020-2032)

14.3.13.5. Market Revenue and Forecast, by Application (2020-2032)

14.3.13.6. Market Revenue and Forecast, by End-use (2020-2032)

14.4. MEA

14.4.1. Market Revenue and Forecast, by Component (2020-2032)

14.4.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.4.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.4.4. Market Revenue and Forecast, by Type (2020-2032)

14.4.5. Market Revenue and Forecast, by Application (2020-2032)

14.4.6. Market Revenue and Forecast, by End-use (2020-2032)

14.4.7. GCC

14.4.7.1. Market Revenue and Forecast, by Component (2020-2032)

14.4.7.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.4.7.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.4.7.4. Market Revenue and Forecast, by Type (2020-2032)

14.4.8. Market Revenue and Forecast, by Application (2020-2032)

14.4.9. Market Revenue and Forecast, by End-use (2020-2032)

14.4.10. North Africa

14.4.10.1. Market Revenue and Forecast, by Component (2020-2032)

14.4.10.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.4.10.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.4.10.4. Market Revenue and Forecast, by Type (2020-2032)

14.4.11. Market Revenue and Forecast, by Application (2020-2032)

14.4.12. Market Revenue and Forecast, by End-use (2020-2032)

14.4.13. South Africa

14.4.13.1. Market Revenue and Forecast, by Component (2020-2032)

14.4.13.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.4.13.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.4.13.4. Market Revenue and Forecast, by Type (2020-2032)

14.4.13.5. Market Revenue and Forecast, by Application (2020-2032)

14.4.13.6. Market Revenue and Forecast, by End-use (2020-2032)

14.4.14. Rest of MEA

14.4.14.1. Market Revenue and Forecast, by Component (2020-2032)

14.4.14.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.4.14.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.4.14.4. Market Revenue and Forecast, by Type (2020-2032)

14.4.14.5. Market Revenue and Forecast, by Application (2020-2032)

14.4.14.6. Market Revenue and Forecast, by End-use (2020-2032)

14.5. Latin America

14.5.1. Market Revenue and Forecast, by Component (2020-2032)

14.5.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.5.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.5.4. Market Revenue and Forecast, by Type (2020-2032)

14.5.5. Market Revenue and Forecast, by Application (2020-2032)

14.5.6. Market Revenue and Forecast, by End-use (2020-2032)

14.5.7. Brazil

14.5.7.1. Market Revenue and Forecast, by Component (2020-2032)

14.5.7.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.5.7.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.5.7.4. Market Revenue and Forecast, by Type (2020-2032)

14.5.8. Market Revenue and Forecast, by Application (2020-2032)

14.5.8.1. Market Revenue and Forecast, by End-use (2020-2032)

14.5.9. Rest of LATAM

14.5.9.1. Market Revenue and Forecast, by Component (2020-2032)

14.5.9.2. Market Revenue and Forecast, by Deployment (2020-2032)

14.5.9.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)

14.5.9.4. Market Revenue and Forecast, by Type (2020-2032)

14.5.9.5. Market Revenue and Forecast, by Application (2020-2032)

14.5.9.6. Market Revenue and Forecast, by End-use (2020-2032)

Chapter 15. Company Profiles

15.1. 3M

15.1.1. Company Overview

15.1.2. Product Offerings

15.1.3. Financial Performance

15.1.4. Recent Initiatives

15.2. Apple

15.2.1. Company Overview

15.2.2. Product Offerings

15.2.3. Financial Performance

15.2.4. Recent Initiatives

15.3. AWS

15.3.1. Company Overview

15.3.2. Product Offerings

15.3.3. Financial Performance

15.3.4. Recent Initiatives

15.4. Baidu

15.4.1. Company Overview

15.4.2. Product Offerings

15.4.3. Financial Performance

15.4.4. Recent Initiatives

15.5. Google LLC

15.5.1. Company Overview

15.5.2. Product Offerings

15.5.3. Financial Performance

15.5.4. Recent Initiatives

15.6. IBM Corporation

15.6.1. Company Overview

15.6.2. Product Offerings

15.6.3. Financial Performance

15.6.4. Recent Initiatives

15.7. Meta

15.7.1. Company Overview

15.7.2. Product Offerings

15.7.3. Financial Performance

15.7.4. Recent Initiatives

15.8. Microsoft

15.8.1. Company Overview

15.8.2. Product Offerings

15.8.3. Financial Performance

15.8.4. Recent Initiatives

15.9. Oracle Inc.

15.9.1. Company Overview

15.9.2. Product Offerings

15.9.3. Financial Performance

15.9.4. Recent Initiatives

15.10. Inbenta

15.10.1. Company Overview

15.10.2. Product Offerings

15.10.3. Financial Performance

15.10.4. Recent Initiatives

Chapter 16. Research Methodology

16.1. Primary Research

16.2. Secondary Research

16.3. Assumptions

Chapter 17. Appendix

17.1. About Us

17.2. Glossary of Terms

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