You are using an outdated browser. For a faster, safer browsing experience, upgrade for free today.

Services & Software

Global Natural Language Processing and Recognition Market Size, Status and Forecast 2020-2026

The demand for social intelligent artificial agents is increasing, the demand for voice-based biometric recognition systems to achieve multi-factor authentication is increasing, global technological progress and the growing demand for operational excellence are expected to be marketable in the near future Favored by the future. Natural language processing (NLP) is a subfield of artificial intelligence (AI) that enables computers to understand human language, including speech, stress, and contraction, to produce human-like speech and text. It performs human language-based lexical analysis to evaluate languages and datasets. NLP enables computers to perform tasks such as translation, problem solving, content classification, part-of-speech tagging, language detection, parsing, term debugging / stemming, and semantic reasoning. NLP-based applications are gaining attention in different applications such as speech and voice recognition, gesture recognition, computer-aided coding, and data mining.

With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Natural Language Processing and Recognition market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Natural Language Processing and Recognition market in terms of revenue.

Players, stakeholders, and other participants in the global Natural Language Processing and Recognition market will be able to gain the upper hand as they use the report as a powerful resource. For this version of the report, the segmental analysis focuses on revenue and forecast by each application segment in terms of revenue and forecast by each type segment in terms of revenue for the period 2015-2026.

Regional and Country-level Analysis

The report offers an exhaustive geographical analysis of the global Natural Language Processing and Recognition market, covering important regions, viz, North America, Europe, China, Japan, Southeast Asia, India and Central & South America. It also covers key countries (regions), viz, U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, India, Australia, Taiwan, Indonesia, Thailand, Malaysia, Philippines, Vietnam, Mexico, Brazil, Turkey, Saudi Arabia, U.A.E, etc.

The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by each application segment in terms of revenue for the period 2015-2026.

Competition Analysis

In the competitive analysis section of the report, leading as well as prominent players of the global Natural Language Processing and Recognition market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.

On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Natural Language Processing and Recognition market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Natural Language Processing and Recognition market.

The following players are covered in this report:

Apple

Google

Microsoft

IBM

Affectiva

Beyond Verbal

Noldus Information Technology

...

Natural Language Processing and Recognition Breakdown Data by Type

Facial Expression Recognition

Speech and Voice Recognition

Gesture and Posture Recognition

Natural Language Processing and Recognition Breakdown Data by Application

Medical Emergency

Marketing and Advertising

Law Enforcement, Surveillance, and Monitoring

Entertainment and Consumer Electronics

Others
Table of Contents

1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by Natural Language Processing and Recognition Revenue
1.4 Market Analysis by Type
1.4.1 Global Natural Language Processing and Recognition Market Size Growth Rate by Type: 2020 VS 2026
1.4.2 Facial Expression Recognition
1.4.3 Speech and Voice Recognition
1.4.4 Gesture and Posture Recognition
1.5 Market by Application
1.5.1 Global Natural Language Processing and Recognition Market Share by Application: 2020 VS 2026
1.5.2 Medical Emergency
1.5.3 Marketing and Advertising
1.5.4 Law Enforcement, Surveillance, and Monitoring
1.5.5 Entertainment and Consumer Electronics
1.5.6 Others
1.6 Study Objectives
1.7 Years Considered

2 Global Growth Trends by Regions
2.1 Natural Language Processing and Recognition Market Perspective (2015-2026)
2.2 Natural Language Processing and Recognition Growth Trends by Regions
2.2.1 Natural Language Processing and Recognition Market Size by Regions: 2015 VS 2020 VS 2026
2.2.2 Natural Language Processing and Recognition Historic Market Share by Regions (2015-2020)
2.2.3 Natural Language Processing and Recognition Forecasted Market Size by Regions (2021-2026)
2.3 Industry Trends and Growth Strategy
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Porter’s Five Forces Analysis
2.3.5 Natural Language Processing and Recognition Market Growth Strategy
2.3.6 Primary Interviews with Key Natural Language Processing and Recognition Players (Opinion Leaders)

3 Competition Landscape by Key Players
3.1 Global Top Natural Language Processing and Recognition Players by Market Size
3.1.1 Global Top Natural Language Processing and Recognition Players by Revenue (2015-2020)
3.1.2 Global Natural Language Processing and Recognition Revenue Market Share by Players (2015-2020)
3.1.3 Global Natural Language Processing and Recognition Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
3.2 Global Natural Language Processing and Recognition Market Concentration Ratio
3.2.1 Global Natural Language Processing and Recognition Market Concentration Ratio (CR5 and HHI)
3.2.2 Global Top 10 and Top 5 Companies by Natural Language Processing and Recognition Revenue in 2019
3.3 Natural Language Processing and Recognition Key Players Head office and Area Served
3.4 Key Players Natural Language Processing and Recognition Product Solution and Service
3.5 Date of Enter into Natural Language Processing and Recognition Market
3.6 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Type (2015-2026)
4.1 Global Natural Language Processing and Recognition Historic Market Size by Type (2015-2020)
4.2 Global Natural Language Processing and Recognition Forecasted Market Size by Type (2021-2026)

5 Natural Language Processing and Recognition Breakdown Data by Application (2015-2026)
5.1 Global Natural Language Processing and Recognition Market Size by Application (2015-2020)
5.2 Global Natural Language Processing and Recognition Forecasted Market Size by Application (2021-2026)

6 North America
6.1 North America Natural Language Processing and Recognition Market Size (2015-2020)
6.2 Natural Language Processing and Recognition Key Players in North America (2019-2020)
6.3 North America Natural Language Processing and Recognition Market Size by Type (2015-2020)
6.4 North America Natural Language Processing and Recognition Market Size by Application (2015-2020)

7 Europe
7.1 Europe Natural Language Processing and Recognition Market Size (2015-2020)
7.2 Natural Language Processing and Recognition Key Players in Europe (2019-2020)
7.3 Europe Natural Language Processing and Recognition Market Size by Type (2015-2020)
7.4 Europe Natural Language Processing and Recognition Market Size by Application (2015-2020)

8 China
8.1 China Natural Language Processing and Recognition Market Size (2015-2020)
8.2 Natural Language Processing and Recognition Key Players in China (2019-2020)
8.3 China Natural Language Processing and Recognition Market Size by Type (2015-2020)
8.4 China Natural Language Processing and Recognition Market Size by Application (2015-2020)

9 Japan
9.1 Japan Natural Language Processing and Recognition Market Size (2015-2020)
9.2 Natural Language Processing and Recognition Key Players in Japan (2019-2020)
9.3 Japan Natural Language Processing and Recognition Market Size by Type (2015-2020)
9.4 Japan Natural Language Processing and Recognition Market Size by Application (2015-2020)

10 Southeast Asia
10.1 Southeast Asia Natural Language Processing and Recognition Market Size (2015-2020)
10.2 Natural Language Processing and Recognition Key Players in Southeast Asia (2019-2020)
10.3 Southeast Asia Natural Language Processing and Recognition Market Size by Type (2015-2020)
10.4 Southeast Asia Natural Language Processing and Recognition Market Size by Application (2015-2020)

11 India
11.1 India Natural Language Processing and Recognition Market Size (2015-2020)
11.2 Natural Language Processing and Recognition Key Players in India (2019-2020)
11.3 India Natural Language Processing and Recognition Market Size by Type (2015-2020)
11.4 India Natural Language Processing and Recognition Market Size by Application (2015-2020)

12 Central & South America
12.1 Central & South America Natural Language Processing and Recognition Market Size (2015-2020)
12.2 Natural Language Processing and Recognition Key Players in Central & South America (2019-2020)
12.3 Central & South America Natural Language Processing and Recognition Market Size by Type (2015-2020)
12.4 Central & South America Natural Language Processing and Recognition Market Size by Application (2015-2020)

13 Key Players Profiles
13.1 Apple
13.1.1 Apple Company Details
13.1.2 Apple Business Overview and Its Total Revenue
13.1.3 Apple Natural Language Processing and Recognition Introduction
13.1.4 Apple Revenue in Natural Language Processing and Recognition Business (2015-2020))
13.1.5 Apple Recent Development
13.2 Google
13.2.1 Google Company Details
13.2.2 Google Business Overview and Its Total Revenue
13.2.3 Google Natural Language Processing and Recognition Introduction
13.2.4 Google Revenue in Natural Language Processing and Recognition Business (2015-2020)
13.2.5 Google Recent Development
13.3 Microsoft
13.3.1 Microsoft Company Details
13.3.2 Microsoft Business Overview and Its Total Revenue
13.3.3 Microsoft Natural Language Processing and Recognition Introduction
13.3.4 Microsoft Revenue in Natural Language Processing and Recognition Business (2015-2020)
13.3.5 Microsoft Recent Development
13.4 IBM
13.4.1 IBM Company Details
13.4.2 IBM Business Overview and Its Total Revenue
13.4.3 IBM Natural Language Processing and Recognition Introduction
13.4.4 IBM Revenue in Natural Language Processing and Recognition Business (2015-2020)
13.4.5 IBM Recent Development
13.5 Affectiva
13.5.1 Affectiva Company Details
13.5.2 Affectiva Business Overview and Its Total Revenue
13.5.3 Affectiva Natural Language Processing and Recognition Introduction
13.5.4 Affectiva Revenue in Natural Language Processing and Recognition Business (2015-2020)
13.5.5 Affectiva Recent Development
13.6 Beyond Verbal
13.6.1 Beyond Verbal Company Details
13.6.2 Beyond Verbal Business Overview and Its Total Revenue
13.6.3 Beyond Verbal Natural Language Processing and Recognition Introduction
13.6.4 Beyond Verbal Revenue in Natural Language Processing and Recognition Business (2015-2020)
13.6.5 Beyond Verbal Recent Development
13.7 Noldus Information Technology
13.7.1 Noldus Information Technology Company Details
13.7.2 Noldus Information Technology Business Overview and Its Total Revenue
13.7.3 Noldus Information Technology Natural Language Processing and Recognition Introduction
13.7.4 Noldus Information Technology Revenue in Natural Language Processing and Recognition Business (2015-2020)
13.7.5 Noldus Information Technology Recent Development

14 Analyst's Viewpoints/Conclusions

15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.2 Data Source
15.2 Disclaimer
15.3 Author Details
  • FORMAT: PDF
  • PUBLISHED DATE: Feb, 2020
  • NO OF PAGES: 125