The natural language processing market would grow at a CAGR of 39.06% over the predicted time frame. The market is expected to increase in value from US$ 25.86 Bn in 2022 to US$ 361.6 Bn in 2030.
The on natural language processing Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.
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Report Scope of the Natural Language Processing Market
| 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 |
A recent report provides crucial insights along with application based and forecast information in the Global Natural language processing Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Natural language processing market.
A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.
Companies and Manufacturers Covered
The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Natural language processing market are included as given below:
Natural language processing Market 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 Segments
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)
Report Objectives
- To define, describe, and forecast the global natural language processing market based on product, and region
- To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
- To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
- To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
- To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
- To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
- To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the natural language processing market
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
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