Natural Language Processing Market Size to Worth US$ 361.6 Billion by 2030

According to the new research report published by Precedence Research, titled “Natural Language Processing Market (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; By Enterprise size; By Type; By Deployment; By Component; By Application) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030”, the global natural language processing market size is expected to be worth around US$ 361.6 billion by 2030 and is poised to record a yearly growth rate of 39.06% from 2022 to 2030. The study investigates several elements and their consequences on the growth of the all-wheel drive market.

This report focuses on natural language processing market volume and value at the global level, regional level and company level. From a global perspective, this report represents the overall natural language processing market size by analyzing historical data and future prospects. Regionally, this report focuses on several key regions: North America, Europe, the Middle East & Africa, Latin America, etc.

 The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

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The study also provides important advancements in organic and inorganic growth strategies in the worldwide natural language processing market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of natural language processing market firms and market strategies. Furthermore, the research focuses on top industry participants, providing information such as company profiles, components and services offered, recent financial data, and key developments.

Report Scope of the Natural Language Processing Market

Market Key Players

Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the natural language processing market.

Some of the prominent players in the natural language processing market include:

Report Scope of the Natural Language Processing Market

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

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, segment, and project the global market size for natural language processing market
• To understand the structure of the market by identifying its various sub-segments
• To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
• To analyze the micro-markets, with respect to individual growth trends, future prospects, and their contributions to the total market
• To project the size of the market and its submarkets, in terms of value, with respect to global. (along with their respective key countries)
• To profile key players and comprehensively analyze their core competencies
• To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
• To analyze the competitive developments such as expansions & investments, new product launches, mergers & acquisitions, joint ventures, and agreements 

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.

Contact Us:

Mr. Alex

Sales Manager

Call: +1 9197 992 333

Email: sales@precedenceresearch.com

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