by The global natural language processing market size was valued at US$ 18.6 billion in 2021 and is anticipated to grow US$ 361.6 billion by 2030, registering a CAGR of 39.06% from 2022 to 2030.
The natural language processing market report covering various industry elements and growth trends helpful for predicting the market’s future.
The study provides a strong base for the natural language processing market to be segmented into different segments. In fact, the study also covers the maximum market share during the assessment period by 2030.
This study is based on the partners that are highly competitive, key players as well as their market revenue in the forecast years of 2022 to 2030. There is also a strong focus on product revenues, sales, product categories and even the products that are experiencing the most traction. In this manner, the natural language processing report also speaks about the effectiveness of this market along with its growth during the forecast period of 2030. Other major attributes of the natural language processing market have been studied and analysed across many developments.
Market Scope
| Report Coverage | Details |
| Market Size in 2022 | USD 25.86 Billion |
| Market Size by 2030 | USD 361.6 Billion |
| Growth Rate from 2022 to 2030 | CAGR of 39.06% |
| Base Year | 2021 |
| Forecast Period | 2022 to 2030 |
| Segments Covered | Technology, Industry Vertical, Enterprise size, Type, Deployment, Component, Application and Geography |
Research Approach
The comprehensive report on the global natural language processing market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products. Following this, the report provides detailed explanation of objectives of this study and laid down by accredited agencies in the purview of research in the global natural language processing market.
It is followed by market introduction, market dynamics, and an overview of the global market, which includes analysis of market drivers, restraints, and trends pertaining to the global market. Furthermore, Y-o-Y growth analysis with elaborated insights has been provided in order to understand the Y-o-Y growth trend of the global market.
For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller sections. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.
Key Players
- Spark Cognition, Inc
- Conversica
- Linguamatics
- Narrative science
- SAP SE
- Veritone Inc.
- SAS Institute Inc.
- Inbenta
- Intel Corporation
- Google, Inc
- IBM Corporation
- Hewlett Packard Enterprise Development LP
- Microsoft Corporation
- Biadu, Inc
- Amazon Web Services, Inc
- Facebook,Inc
- Apple,Inc
- Bitext
- Health Fidelity
- Linguamatics
- Automated Insights
- Gnani.ai
- Niki
- Mihup
- Observe.Al
- Hyro
- Just Al
- RaGaVeRa
Market Segmentations
By Technology
- Interactive voice response
- Optical character recognition
- Text analytics
- Speech analytics
- Classification and categorization
- Pattern and image recognition
- Ohers (Coding, Professional services, etc)
By Industry Vertical
- Manufacturing
- Advertising and media
- Automotive and transportation
- Banking financial services and insurance (BFSI)
- High tech and telecom
- Energy utilities
- Government and public sector
- Education
- Transport and logistics
- Retail and ecommerce
- Healthcare
By Enterprise size
- Small Enterprises
- Medium-sized enterprises
- Large enterprises
By Type
- Rule-based
- Statistical
- Hybrid
By Deployment
- On premises
- Cloud (Public cloud and private cloud)
- Hybrid
By Component
- Solutions
- Platform
- Software tools
- Services
- Professional Services
- Consulting
- System integration and implementation
- Support and maintenance
- Managed Services
- Professional Services
By Application
- Language scoring
- Content management
- Automatic summarization
- Risk and threat detection
- Data extraction
- Sentiment analysis
- Others (HR and Recruiting branding, advertising, portfolio monitoring)
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa (MEA)
TABLE OF CONTENT
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. Raw Material 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 Technology
8.1. Natural Language Processing Market, by Technology, 2022-2030
8.1.1. Interactive voice response
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Optical character recognition
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Text analytics
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Speech analytics
8.1.4.1. Market Revenue and Forecast (2017-2030)
8.1.5. Classification and categorization
8.1.5.1. Market Revenue and Forecast (2017-2030)
8.1.5. Pattern and image recognition
8.1.5.1. Market Revenue and Forecast (2017-2030)
8.1.5. Ohers (Coding, Professional services, etc)
8.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Natural Language Processing Market, By Industry Vertical
9.1. Natural Language Processing Market, by Industry Vertical, 2022-2030
9.1.1. Manufacturing
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Advertising and media
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. Automotive and transportation
9.1.3.1. Market Revenue and Forecast (2017-2030)
9.1.4. Banking financial services and insurance (BFSI)
9.1.4.1. Market Revenue and Forecast (2017-2030)
9.1.5. High tech and telecom
9.1.5.1. Market Revenue and Forecast (2017-2030)
9.1.6. Energy utilities
9.1.6.1. Market Revenue and Forecast (2017-2030)
9.1.7. Government and public sector
9.1.7.1. Market Revenue and Forecast (2017-2030)
9.1.8. Education
9.1.8.1. Market Revenue and Forecast (2017-2030)
9.1.9. Transport and logistics
9.1.9.1. Market Revenue and Forecast (2017-2030)
9.1.10. Retail and ecommerce
9.1.10.1. Market Revenue and Forecast (2017-2030)
9.1.11. Healthcare
9.1.11.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Natural Language Processing Market, By Enterprise size
10.1. Natural Language Processing Market, by Enterprise size, 2022-2030
10.1.1. Small Enterprises
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Medium-sized enterprises
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. Large enterprises
10.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Natural Language Processing Market, By Type
11.1. Natural Language Processing Market, by Type, 2022-2030
11.1.1. Rule-based
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Statistical
11.1.2.1. Market Revenue and Forecast (2017-2030)
11.1.3. Hybrid
11.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Natural Language Processing Market, By Deployment
12.1. Natural Language Processing Market, by Deployment, 2022-2030
12.1.1. On premises
12.1.1.1. Market Revenue and Forecast (2017-2030)
12.1.2. Cloud (Public cloud and private cloud)
12.1.2.1. Market Revenue and Forecast (2017-2030)
12.1.3. Hybrid
12.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 13. Global Natural Language Processing Market, By Component
13.1. Natural Language Processing Market, by Component, 2022-2030
13.1.1. Solutions
13.1.1.1. Market Revenue and Forecast (2017-2030)
13.1.2. Services
13.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 14. Global Natural Language Processing Market, Regional Estimates and Trend Forecast
14.1. North America
14.1.1. Market Revenue and Forecast, by Technology (2017-2030)
14.1.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.1.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.1.4. Market Revenue and Forecast, by Type (2017-2030)
14.1.5. Market Revenue and Forecast, by Deployment (2017-2030)
14.1.6. Market Revenue and Forecast, by Component (2017-2030)
14.1.7. U.S.
14.1.7.1. Market Revenue and Forecast, by Technology (2017-2030)
14.1.7.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.1.7.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.1.7.4. Market Revenue and Forecast, by Type (2017-2030)
14.1.8. Market Revenue and Forecast, by Deployment (2017-2030)
14.1.8.1. Market Revenue and Forecast, by Component (2017-2030)
14.1.9. Rest of North America
14.1.9.1. Market Revenue and Forecast, by Technology (2017-2030)
14.1.9.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.1.9.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.1.9.4. Market Revenue and Forecast, by Type (2017-2030)
14.1.10. Market Revenue and Forecast, by Deployment (2017-2030)
14.1.11. Market Revenue and Forecast, by Component (2017-2030)
14.1.11.1.
14.2. Europe
14.2.1. Market Revenue and Forecast, by Technology (2017-2030)
14.2.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.2.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.2.4. Market Revenue and Forecast, by Type (2017-2030)
14.2.5. Market Revenue and Forecast, by Deployment (2017-2030)
14.2.6. Market Revenue and Forecast, by Component (2017-2030)
14.2.7.
14.2.8. UK
14.2.8.1. Market Revenue and Forecast, by Technology (2017-2030)
14.2.8.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.2.8.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.2.9. Market Revenue and Forecast, by Type (2017-2030)
14.2.10. Market Revenue and Forecast, by Deployment (2017-2030)
14.2.10.1. Market Revenue and Forecast, by Component (2017-2030)
14.2.11. Germany
14.2.11.1. Market Revenue and Forecast, by Technology (2017-2030)
14.2.11.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.2.11.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.2.12. Market Revenue and Forecast, by Type (2017-2030)
14.2.13. Market Revenue and Forecast, by Deployment (2017-2030)
14.2.14. Market Revenue and Forecast, by Component (2017-2030)
14.2.14.1.
14.2.15. France
14.2.15.1. Market Revenue and Forecast, by Technology (2017-2030)
14.2.15.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.2.15.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.2.15.4. Market Revenue and Forecast, by Type (2017-2030)
14.2.16. Market Revenue and Forecast, by Deployment (2017-2030)
14.2.16.1. Market Revenue and Forecast, by Component (2017-2030)
14.2.17. Rest of Europe
14.2.17.1. Market Revenue and Forecast, by Technology (2017-2030)
14.2.17.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.2.17.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.2.17.4. Market Revenue and Forecast, by Type (2017-2030)
14.2.18. Market Revenue and Forecast, by Deployment (2017-2030)
14.2.18.1. Market Revenue and Forecast, by Component (2017-2030)
14.3. APAC
14.3.1. Market Revenue and Forecast, by Technology (2017-2030)
14.3.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.3.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.3.4. Market Revenue and Forecast, by Type (2017-2030)
14.3.5. Market Revenue and Forecast, by Deployment (2017-2030)
14.3.6. Market Revenue and Forecast, by Component (2017-2030)
14.3.7. India
14.3.7.1. Market Revenue and Forecast, by Technology (2017-2030)
14.3.7.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.3.7.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.3.7.4. Market Revenue and Forecast, by Type (2017-2030)
14.3.8. Market Revenue and Forecast, by Deployment (2017-2030)
14.3.9. Market Revenue and Forecast, by Component (2017-2030)
14.3.10. China
14.3.10.1. Market Revenue and Forecast, by Technology (2017-2030)
14.3.10.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.3.10.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.3.10.4. Market Revenue and Forecast, by Type (2017-2030)
14.3.11. Market Revenue and Forecast, by Deployment (2017-2030)
14.3.11.1. Market Revenue and Forecast, by Component (2017-2030)
14.3.12. Japan
14.3.12.1. Market Revenue and Forecast, by Technology (2017-2030)
14.3.12.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.3.12.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.3.12.4. Market Revenue and Forecast, by Type (2017-2030)
14.3.12.5. Market Revenue and Forecast, by Deployment (2017-2030)
14.3.12.6. Market Revenue and Forecast, by Component (2017-2030)
14.3.13. Rest of APAC
14.3.13.1. Market Revenue and Forecast, by Technology (2017-2030)
14.3.13.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.3.13.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.3.13.4. Market Revenue and Forecast, by Type (2017-2030)
14.3.13.5. Market Revenue and Forecast, by Deployment (2017-2030)
14.3.13.6. Market Revenue and Forecast, by Component (2017-2030)
14.4. MEA
14.4.1. Market Revenue and Forecast, by Technology (2017-2030)
14.4.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.4.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.4.4. Market Revenue and Forecast, by Type (2017-2030)
14.4.5. Market Revenue and Forecast, by Deployment (2017-2030)
14.4.6. Market Revenue and Forecast, by Component (2017-2030)
14.4.7. GCC
14.4.7.1. Market Revenue and Forecast, by Technology (2017-2030)
14.4.7.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.4.7.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.4.7.4. Market Revenue and Forecast, by Type (2017-2030)
14.4.8. Market Revenue and Forecast, by Deployment (2017-2030)
14.4.9. Market Revenue and Forecast, by Component (2017-2030)
14.4.10. North Africa
14.4.10.1. Market Revenue and Forecast, by Technology (2017-2030)
14.4.10.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.4.10.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.4.10.4. Market Revenue and Forecast, by Type (2017-2030)
14.4.11. Market Revenue and Forecast, by Deployment (2017-2030)
14.4.12. Market Revenue and Forecast, by Component (2017-2030)
14.4.13. South Africa
14.4.13.1. Market Revenue and Forecast, by Technology (2017-2030)
14.4.13.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.4.13.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.4.13.4. Market Revenue and Forecast, by Type (2017-2030)
14.4.13.5. Market Revenue and Forecast, by Deployment (2017-2030)
14.4.13.6. Market Revenue and Forecast, by Component (2017-2030)
14.4.14. Rest of MEA
14.4.14.1. Market Revenue and Forecast, by Technology (2017-2030)
14.4.14.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.4.14.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.4.14.4. Market Revenue and Forecast, by Type (2017-2030)
14.4.14.5. Market Revenue and Forecast, by Deployment (2017-2030)
14.4.14.6. Market Revenue and Forecast, by Component (2017-2030)
14.5. Latin America
14.5.1. Market Revenue and Forecast, by Technology (2017-2030)
14.5.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.5.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.5.4. Market Revenue and Forecast, by Type (2017-2030)
14.5.5. Market Revenue and Forecast, by Deployment (2017-2030)
14.5.6. Market Revenue and Forecast, by Component (2017-2030)
14.5.7. Brazil
14.5.7.1. Market Revenue and Forecast, by Technology (2017-2030)
14.5.7.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.5.7.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.5.7.4. Market Revenue and Forecast, by Type (2017-2030)
14.5.8. Market Revenue and Forecast, by Deployment (2017-2030)
14.5.8.1. Market Revenue and Forecast, by Component (2017-2030)
14.5.9. Rest of LATAM
14.5.9.1. Market Revenue and Forecast, by Technology (2017-2030)
14.5.9.2. Market Revenue and Forecast, by Industry Vertical (2017-2030)
14.5.9.3. Market Revenue and Forecast, by Enterprise size (2017-2030)
14.5.9.4. Market Revenue and Forecast, by Type (2017-2030)
14.5.9.5. Market Revenue and Forecast, by Deployment (2017-2030)
14.5.9.6. Market Revenue and Forecast, by Component (2017-2030)
Chapter 15. Company Profiles
15.1. Spark Cognition, Inc
15.1.1. Company Overview
15.1.2. Product Offerings
15.1.3. Financial Performance
15.1.4. Recent Initiatives
15.2. Conversica
15.2.1. Company Overview
15.2.2. Product Offerings
15.2.3. Financial Performance
15.2.4. Recent Initiatives
15.3. Linguamatics
15.3.1. Company Overview
15.3.2. Product Offerings
15.3.3. Financial Performance
15.3.4. Recent Initiatives
15.4. Narrative science
15.4.1. Company Overview
15.4.2. Product Offerings
15.4.3. Financial Performance
15.4.4. Recent Initiatives
15.5. SAP SE
15.5.1. Company Overview
15.5.2. Product Offerings
15.5.3. Financial Performance
15.5.4. Recent Initiatives
15.6. Veritone Inc.
15.6.1. Company Overview
15.6.2. Product Offerings
15.6.3. Financial Performance
15.6.4. Recent Initiatives
15.7. Veritone Inc.
15.7.1. Company Overview
15.7.2. Product Offerings
15.7.3. Financial Performance
15.7.4. Recent Initiatives
15.8. Inbenta
15.8.1. Company Overview
15.8.2. Product Offerings
15.8.3. Financial Performance
15.8.4. Recent Initiatives
15.9. Intel Corporation
15.9.1. Company Overview
15.9.2. Product Offerings
15.9.3. Financial Performance
15.9.4. Recent Initiatives
15.10. Google, Inc
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
Why should you invest in this report?
If you are aiming to enter the global natural language processing market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for natural language processing are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
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