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Natural Language Processing (NLP) Market Overview
An overview of conceptual frameworks, analytical approaches of the natural language processing market is the main objective of the report, which further consists of the market opportunity and insights of the data involved in the making of the respective market. Natural Language Processing (NLP) market is expected to grow at a significant rate in the near future.
The global Natural Language Processing (NLP) Market in 2020 is estimated for more than US$ 9.1 Bn and expected to reach a value of US$ 41.9 Bn by 2028 with a significant CAGR of 21.1%.
Natural Language Processing (NLP) Market Dynamics
The global natural language processing market is expected to have steady growth, owing to the increasing application of the smart device, growing adoption of cloud-based solutions and NLP-based applications to improve customer service, and the upsurge in technology investments in the healthcare sectors. Besides, the mounting efforts on the understanding end-user segment during the complete shopping procedure to enhance customer experiences, the implementation of NLP solutions across the globe, and the rapid advances in infrastructure are also responsible for propelling the market growth. Other factors like the high adoption of digital technologies coupled with the intense competition across end-users and the adoption of NLP across verticals with increasing investment among enterprises also aids the market growth.
The global natural language processing market is influenced by the prevailing skin disorders across the globe. Besides, the development of innovative and user-friendly products by the key players coupled with the increasing investments in dermatology creates growth opportunities for the market during the upcoming years. These innovative and advanced products aid the expansion of the product portfolio that further helps in strengthening their business growth globally.
However, the lack of skilled resources coupled with the complication involved in the shift from traditional to advanced technology, due to unstable customer acceptance trends is the major growth restraining factor for the natural language processing market. On the contrary, the factors like the growing investment in the healthcare sector and the necessity for a better human-machine interface offers lucrative growth opportunities during the forecast years.
Natural Language Processing (NLP) Market Segmentation
The global natural language processing market is segmented based on component, deployment mode, organization size, type, application, vertical, and by region.
By Component:
Solutions
o Platform
o Software Tools
Services
o Managed Services
o Professional Services
By Deployment Mode:
Cloud
On-Premises
By Organization Size:
Small and Medium-Sized Enterprises
Large Enterprises
By Type:
Rule-Based
Statistical
Hybrid
By Application:
Text Classification
Automatic Summarization
Machine Translation
Sentiment Analysis
Question Answering
Information Extraction
Others
By Vertical:
Banking, Financial Services, and Insurance
Healthcare and Life Sciences
IT and Telecommunications
Retail and Ecommerce
Government and Defense
Manufacturing
Media and Entertainment
Travel and Hospitality
Others
By Region:
North America
Europe
Asia Pacific
Latin America
Middle East
Africa
Natural Language Processing (NLP) Market Competitive Landscape
Key players operating in the global natural language processing market include 3M Company, Alphabet Inc., Amazon Web Services, Inc., Apple Inc., Baidu, Inc., Bitext Innovations, Conversica, Inc., Dolbey Systems, Inc., Facebook Inc., Health Fidelity, Inc., IBM Corporation, Intel Corporation, Linguamatics Ltd., Microsoft Corporation, SAS Institute Inc., and Veritone, Inc.
Regional Segmentation
Based on the region, the natural language processing (NLP) market is segmented into North America, Europe, Asia Pacific, Latin America, Middle East, and Africa.
MMC Overview on Lysine Market Report
The non-identical approach of Meridian Market Consultants stands with conceptual methods backed up with the data analysis. The novel market understanding approach makes up the standard of the assessment results that give better opportunity for the customers to put their effort.
A research report on the natural language processing market by Meridian Market Consultants is an in-depth and extensive study of the market based on the necessary data crunching and statistical analysis. It provides a brief view of the dynamics flowing through the market, which includes the factors that supports market and the factors that are acting as impedance for the growth of the market.
Furthermore, the report includes the various trends and opportunities in the respective market in different regions for a better understanding of readers that helps to analyze the potential of the market. The report is titled as ‘Natural Language Processing Market: Opportunity Analysis and Future Assessment 2020-2028’.
Factors that are benchmarked while estimating the market
Various factors that are benchmarked while estimating the market growth include (but not restricted to):
• New product designs and launches
• Current product compliance
• Reimbursement
• Concerns for use of Natural Language Processing
• Advantages of Natural Language Processing
Actions taken by the manufacturer and respective regulatory authorities also impact the market growth of the segment. These factors are understood at regional level and in major countries globally for providing regional insights of the product segment in the report. This helps our clients to take informed decision.
A mix of top-down and bottom-up approach is followed to arrive and validate our market value estimations. For a product segment like wherein one/two manufacturer(s) dominates the market, it’s products sales, previous growth rates and market expansion plans are considered to generate market share in the global market.
1. Global Natural Language Processing (NLP) Market Report Overview
1.1. Introduction
1.2. Report Description
1.3. Methodology
2. Global Natural Language Processing (NLP) Market Overview
2.1. Introduction
2.1.1. Market Definition
2.1.2. Market Taxonomy
2.2. Executive Summary
2.3. Global Natural Language Processing (NLP) Market Snapshot
2.4. Global Natural Language Processing (NLP) Market Size and Forecast, 2019–2027
2.4.1. Introduction
2.4.2. Market Value Forecast and Annual Growth Rate (AGR) Comparison (2019–2027)
2.5. Global Natural Language Processing (NLP) Market Dynamics
2.5.1. Drivers
2.5.2. Restraints
2.5.3. Opportunity
2.5.4. Trends
2.6. Key Regulations
2.7. Porter’s Five Forces Model
3. Global Natural Language Processing (NLP) Market, By Component
3.1. Introduction
3.1.1. Annual Growth Rate Comparison, By Component
3.1.2. BPS Analysis, By Component
3.2. Market Revenue (US$Mn) Forecast, By Component
3.2.1. Solutions
3.2.1.1. Platform
3.2.1.2. Software Tools
3.2.2. Services
3.2.2.1. Managed Services
3.2.2.2. Professional Services
3.3. Global Natural Language Processing (NLP) Market Attractiveness Index, By Component
4. Global Natural Language Processing (NLP) Market, By Deployment Mode
4.1. Introduction
4.1.1. Annual Growth Rate Comparison, By Deployment Mode
4.1.2. BPS Analysis, By Deployment Mode
4.2. Market Revenue (US$Mn) Forecast, By Deployment Mode
4.2.1. Cloud
4.2.2. On-Premises
4.3. Global Natural Language Processing (NLP) Market Attractiveness Index, By Deployment Mode
5. Global Natural Language Processing (NLP) Market, By Organization Size
5.1. Introduction
5.1.1. Annual Growth Rate Comparison, By Organization Size
5.1.2. BPS Analysis, By Organization Size
5.2. Market Revenue (US$Mn) Forecast, By Organization Size
5.2.1. Small and Medium-Sized Enterprises
5.2.2. Large Enterprises
5.3. Global Natural Language Processing (NLP) Market Attractiveness Index, By Organization Size
6. Global Natural Language Processing (NLP) Market, By Type
6.1. Introduction
6.1.1. Annual Growth Rate Comparison, By Type
6.1.2. BPS Analysis, By Type
6.2. Market Revenue (US$Mn) Forecast, By Type
6.2.1. Rule-Based
6.2.2. Statistical
6.2.3. Hybrid
6.3. Global Natural Language Processing (NLP) Market Attractiveness Index, By Type
7. Global Natural Language Processing (NLP) Market, By Application
7.1. Introduction
7.1.1. Annual Growth Rate Comparison, By Application
7.1.2. BPS Analysis, By Application
7.2. Market Revenue (US$Mn) Forecast, By Application
7.2.1. Text Classification
7.2.2. Automatic Summarization
7.2.3. Machine Translation
7.2.4. Sentiment Analysis
7.2.5. Question Answering
7.2.6. Information Extraction
7.2.7. Others
7.3. Global Natural Language Processing (NLP) Market Attractiveness Index, By Application
8. Global Natural Language Processing (NLP) Market, By Vertical
8.1. Introduction
8.1.1. Annual Growth Rate Comparison, By Vertical
8.1.2. BPS Analysis, By Vertical
8.2. Market Revenue (US$Mn) Forecast, By Vertical
8.2.1. Banking, Financial Services, and Insurance
8.2.2. Healthcare and Life Sciences
8.2.3. IT and Telecommunications
8.2.4. Retail and Ecommerce
8.2.5. Government and Defence
8.2.6. Manufacturing
8.2.7. Media and Entertainment
8.2.8. Travel and Hospitality
8.2.9. Others
8.3. Global Natural Language Processing (NLP) Market Attractiveness Index, By Vertical
9. Global Natural Language Processing (NLP) Market, By Region
9.1. Introduction
9.1.1. Annual Growth Rate Comparison, By Region
9.1.2. BPS Analysis, By Region
9.2. Market Revenue (US$Mn) Forecast, By Region
9.2.1. North America
9.2.2. Latin America
9.2.3. Europe
9.2.4. Asia Pacific
9.2.5. Middle East
9.2.6. Africa
9.3. Global Natural Language Processing (NLP) Market Attractiveness Index, By Region
10. North America Natural Language Processing (NLP) Market Analysis and Forecast, 2019–2027
10.1. Introduction
10.1.1. Annual Growth Rate Comparison, By Country
10.1.2. BPS Analysis, By Country
10.2. Market Revenue (US$Mn) Forecast, By Country
10.2.1. U.S. Natural Language Processing (NLP) Market
10.2.2. Canada Natural Language Processing (NLP) Market
10.3. North America Natural Language Processing (NLP) Market, By Component
10.3.1. Solutions
10.3.1.1. Platform
10.3.1.2. Software Tools
10.3.2. Services
10.3.2.1. Managed Services
10.3.2.2. Professional Services
10.4. North America Natural Language Processing (NLP) Market, By Deployment Mode
10.4.1. Cloud
10.4.2. On-Premises
10.5. North America Natural Language Processing (NLP) Market, By Organization Size
10.5.1. Small and Medium-Sized Enterprises
10.5.2. Large Enterprises
10.6. North America Natural Language Processing (NLP) Market, By Type
10.6.1. Rule-Based
10.6.2. Statistical
10.6.3. Hybrid
10.7. North America Natural Language Processing (NLP) Market, By Application
10.7.1. Text Classification
10.7.2. Automatic Summarization
10.7.3. Machine Translation
10.7.4. Sentiment Analysis
10.7.5. Question Answering
10.7.6. Information Extraction
10.7.7. Others
10.8. North America Natural Language Processing (NLP) Market, By Vertical
10.8.1. Banking, Financial Services, and Insurance
10.8.2. Healthcare and Life Sciences
10.8.3. IT and Telecommunications
10.8.4. Retail and Ecommerce
10.8.5. Government and Defence
10.8.6. Manufacturing
10.8.7. Media and Entertainment
10.8.8. Travel and Hospitality
10.8.9. Others
10.9. North America Natural Language Processing (NLP) Market Attractiveness Index
10.9.1. By Country
10.9.2. By Component
10.9.3. By Deployment Mode
10.9.4. By Organization Size
10.9.5. By Type
10.9.6. By Application
10.9.7. By Vertical
11. Latin America Natural Language Processing (NLP) Market Analysis and Forecast, 2019–2027
11.1. Introduction
11.1.1. Annual Growth Rate Comparison, By Country
11.1.2. BPS Analysis, By Country
11.2. Market (US$Mn) Forecast, By Country
11.2.1. Brazil Natural Language Processing (NLP) Market
11.2.2. Mexico Natural Language Processing (NLP) Market
11.2.3. Argentina Natural Language Processing (NLP) Market
11.2.4. Rest of Latin America Natural Language Processing (NLP) Market
11.3. Latin America Natural Language Processing (NLP) Market, By Component
11.3.1. Solutions
11.3.1.1. Platform
11.3.1.2. Software Tools
11.3.2. Services
11.3.2.1. Managed Services
11.3.2.2. Professional Services
11.4. Latin America Natural Language Processing (NLP) Market, By Deployment Mode
11.4.1. Cloud
11.4.2. On-Premises
11.5. Latin America Natural Language Processing (NLP) Market, By Organization Size
11.5.1. Small and Medium-Sized Enterprises
11.5.2. Large Enterprises
11.6. Latin America Natural Language Processing (NLP) Market, By Type
11.6.1. Rule-Based
11.6.2. Statistical
11.6.3. Hybrid
11.7. Latin America Natural Language Processing (NLP) Market, By Application
11.7.1. Text Classification
11.7.2. Automatic Summarization
11.7.3. Machine Translation
11.7.4. Sentiment Analysis
11.7.5. Question Answering
11.7.6. Information Extraction
11.7.7. Others
11.8. Latin America Natural Language Processing (NLP) Market, By Vertical
11.8.1. Banking, Financial Services, and Insurance
11.8.2. Healthcare and Life Sciences
11.8.3. IT and Telecommunications
11.8.4. Retail and Ecommerce
11.8.5. Government and Defence
11.8.6. Manufacturing
11.8.7. Media and Entertainment
11.8.8. Travel and Hospitality
11.8.9. Others
11.9. Latin America Natural Language Processing (NLP) Market Attractiveness Index
11.9.1. By Country
11.9.2. By Component
11.9.3. By Deployment Mode
11.9.4. By Organization Size
11.9.5. By Type
11.9.6. By Application
11.9.7. By Vertical
12. Europe Natural Language Processing (NLP) Market Analysis and Forecast, 2019–2027
12.1. Introduction
12.1.1. Annual Growth Rate Comparison, By Country
12.1.2. BPS Analysis, By Country
12.2. Market (US$Mn) Forecast, By Country
12.2.1. U.K. Natural Language Processing (NLP) Market
12.2.2. Germany Natural Language Processing (NLP) Market
12.2.3. Italy Natural Language Processing (NLP) Market
12.2.4. France Natural Language Processing (NLP) Market
12.2.5. Spain Natural Language Processing (NLP) Market
12.2.6. Russia Natural Language Processing (NLP) Market
12.2.7. Poland Natural Language Processing (NLP) Market
12.2.8. BENELUX Natural Language Processing (NLP) Market
12.2.9. NORDIC Natural Language Processing (NLP) Market
12.2.10. Rest of Europe Natural Language Processing (NLP) Market
12.3. Europe Natural Language Processing (NLP) Market, By Component
12.3.1. Solutions
12.3.1.1. Platform
12.3.1.2. Software Tools
12.3.2. Services
12.3.2.1. Managed Services
12.3.2.2. Professional Services
12.4. Europe Natural Language Processing (NLP) Market, By Deployment Mode
12.4.1. Cloud
12.4.2. On-Premises
12.5. Europe Natural Language Processing (NLP) Market, By Organization Size
12.5.1. Small and Medium-Sized Enterprises
12.5.2. Large Enterprises
12.6. Europe Natural Language Processing (NLP) Market, By Type
12.6.1. Rule-Based
12.6.2. Statistical
12.6.3. Hybrid
12.7. Europe Natural Language Processing (NLP) Market, By Application
12.7.1. Text Classification
12.7.2. Automatic Summarization
12.7.3. Machine Translation
12.7.4. Sentiment Analysis
12.7.5. Question Answering
12.7.6. Information Extraction
12.7.7. Others
12.8. Europe Natural Language Processing (NLP) Market, By Vertical
12.8.1. Banking, Financial Services, and Insurance
12.8.2. Healthcare and Life Sciences
12.8.3. IT and Telecommunications
12.8.4. Retail and Ecommerce
12.8.5. Government and Defence
12.8.6. Manufacturing
12.8.7. Media and Entertainment
12.8.8. Travel and Hospitality
12.8.9. Others
12.9. Europe Natural Language Processing (NLP) Market Attractiveness Index
12.9.1. By Country
12.9.2. By Component
12.9.3. By Deployment Mode
12.9.4. By Organization Size
12.9.5. By Type
12.9.6. By Application
12.9.7. By Vertical
13. Asia Pacific Natural Language Processing (NLP) Market Analysis and Forecast, 2019–2027
13.1. Introduction
13.1.1. Annual Growth Rate Comparison, By Country
13.1.2. BPS Analysis, By Country
13.2. Market (US$Mn) Forecast, By Country
13.2.1. China Natural Language Processing (NLP) Market
13.2.2. India Natural Language Processing (NLP) Market
13.2.3. Japan Natural Language Processing (NLP) Market
13.2.4. Australia and New Zealand Natural Language Processing (NLP) Market
13.2.5. South Korea Natural Language Processing (NLP) Market
13.2.6. ASEAN Natural Language Processing (NLP) Market
13.2.7. Rest of Asia Pacific Natural Language Processing (NLP) Market
13.3. Asia Pacific Natural Language Processing (NLP) Market, By Component
13.3.1. Solutions
13.3.1.1. Platform
13.3.1.2. Software Tools
13.3.2. Services
13.3.2.1. Managed Services
13.3.2.2. Professional Services
13.4. Asia Pacific Natural Language Processing (NLP) Market, By Deployment Mode
13.4.1. Cloud
13.4.2. On-Premises
13.5. Asia Pacific Natural Language Processing (NLP) Market, By Organization Size
13.5.1. Small and Medium-Sized Enterprises
13.5.2. Large Enterprises
13.6. Asia Pacific Natural Language Processing (NLP) Market, By Type
13.6.1. Rule-Based
13.6.2. Statistical
13.6.3. Hybrid
13.7. Asia Pacific Natural Language Processing (NLP) Market, By Application
13.7.1. Text Classification
13.7.2. Automatic Summarization
13.7.3. Machine Translation
13.7.4. Sentiment Analysis
13.7.5. Question Answering
13.7.6. Information Extraction
13.7.7. Others
13.8. Asia Pacific Natural Language Processing (NLP) Market, By Vertical
13.8.1. Banking, Financial Services, and Insurance
13.8.2. Healthcare and Life Sciences
13.8.3. IT and Telecommunications
13.8.4. Retail and Ecommerce
13.8.5. Government and Defence
13.8.6. Manufacturing
13.8.7. Media and Entertainment
13.8.8. Travel and Hospitality
13.8.9. Others
13.9. Asia Pacific Natural Language Processing (NLP) Market Attractiveness Index
13.9.1. By Country
13.9.2. By Component
13.9.3. By Deployment Mode
13.9.4. By Organization Size
13.9.5. By Type
13.9.6. By Application
13.9.7. By Vertical
14. Middle East Natural Language Processing (NLP) Market, By Region
14.1. Introduction
14.1.1. Annual Growth Rate Comparison, By Country
14.1.2. BPS Analysis, By Country
14.2. Market (US$Mn) Forecast, By Country
14.2.1. GCC Countries Natural Language Processing (NLP) Market
14.2.2. Israel Natural Language Processing (NLP) Market
14.2.3. Oman Natural Language Processing (NLP) Market
14.2.4. Rest of Middle East Natural Language Processing (NLP) Market
14.3. Middle East Natural Language Processing (NLP) Market, By Component
14.3.1. Solutions
14.3.1.1. Platform
14.3.1.2. Software Tools
14.3.2. Services
14.3.2.1. Managed Services
14.3.2.2. Professional Services
14.4. Middle East Natural Language Processing (NLP) Market, By Deployment Mode
14.4.1. Cloud
14.4.2. On-Premises
14.5. Middle East Natural Language Processing (NLP) Market, By Organization Size
14.5.1. Small and Medium-Sized Enterprises
14.5.2. Large Enterprises
14.6. Middle East Natural Language Processing (NLP) Market, By Type
14.6.1. Rule-Based
14.6.2. Statistical
14.6.3. Hybrid
14.7. Middle East Natural Language Processing (NLP) Market, By Application
14.7.1. Text Classification
14.7.2. Automatic Summarization
14.7.3. Machine Translation
14.7.4. Sentiment Analysis
14.7.5. Question Answering
14.7.6. Information Extraction
14.7.7. Others
14.8. Middle East Natural Language Processing (NLP) Market, By Vertical
14.8.1. Banking, Financial Services, and Insurance
14.8.2. Healthcare and Life Sciences
14.8.3. IT and Telecommunications
14.8.4. Retail and Ecommerce
14.8.5. Government and Defence
14.8.6. Manufacturing
14.8.7. Media and Entertainment
14.8.8. Travel and Hospitality
14.8.9. Others
14.9. Middle East Natural Language Processing (NLP) Market Attractiveness Index
14.9.1. By Country
14.9.2. By Component
14.9.3. By Deployment Mode
14.9.4. By Organization Size
14.9.5. By Type
14.9.6. By Application
14.9.7. By Vertical
15. Africa Natural Language Processing (NLP) Market, By Region
15.1. Introduction
15.1.1. Annual Growth Rate Comparison, By Country
15.1.2. BPS Analysis, By Country
15.2. Market (US$Mn) Forecast, By Country
15.2.1. South Africa Natural Language Processing (NLP) Market
15.2.2. Egypt Natural Language Processing (NLP) Market
15.2.3. North Africa Natural Language Processing (NLP) Market
15.2.4. Rest of Africa Natural Language Processing (NLP) Market
15.3. Africa Natural Language Processing (NLP) Market, By Component
15.3.1. Solutions
15.3.1.1. Platform
15.3.1.2. Software Tools
15.3.2. Services
15.3.2.1. Managed Services
15.3.2.2. Professional Services
15.4. Africa Natural Language Processing (NLP) Market, By Deployment Mode
15.4.1. Cloud
15.4.2. On-Premises
15.5. Africa Natural Language Processing (NLP) Market, By Organization Size
15.5.1. Small and Medium-Sized Enterprises
15.5.2. Large Enterprises
15.6. Africa Natural Language Processing (NLP) Market, By Type
15.6.1. Rule-Based
15.6.2. Statistical
15.6.3. Hybrid
15.7. Africa Natural Language Processing (NLP) Market, By Application
15.7.1. Text Classification
15.7.2. Automatic Summarization
15.7.3. Machine Translation
15.7.4. Sentiment Analysis
15.7.5. Question Answering
15.7.6. Information Extraction
15.7.7. Others
15.8. Africa Natural Language Processing (NLP) Market, By Vertical
15.8.1. Banking, Financial Services, and Insurance
15.8.2. Healthcare and Life Sciences
15.8.3. IT and Telecommunications
15.8.4. Retail and Ecommerce
15.8.5. Government and Defence
15.8.6. Manufacturing
15.8.7. Media and Entertainment
15.8.8. Travel and Hospitality
15.8.9. Others
15.9. Africa Natural Language Processing (NLP) Market Attractiveness Index
15.9.1. By Country
15.9.2. By Component
15.9.3. By Deployment Mode
15.9.4. By Organization Size
15.9.5. By Type
15.9.6. By Application
15.9.7. By Vertical
16. Recommendation
16.1. Market Strategy
17. Competitive Landscape
17.1. Competition Dashboard
17.2. List and Company Overview of Global Key Players
17.3. Company Profiles
17.3.1. 3M Company
17.3.1.1. Company Overview
17.3.1.2. Financial Overview
17.3.1.3. Product Portfolio
17.3.1.4. Key Developments
17.3.1.5. Business Strategies
17.3.2. Alphabet Inc.
17.3.3. Amazon Web Services, Inc.
17.3.4. Apple Inc.
17.3.5. Baidu, Inc.
17.3.6. Bitext Innovations
17.3.7. Conversica, Inc.
17.3.8. Dolbey Systems, Inc.
17.3.9. Facebook, Inc.
17.3.10. Health Fidelity, Inc.
17.3.11. IBM Corporation
17.3.12. Intel Corporation
17.3.13. Linguamatics Ltd.
17.3.14. Microsoft Corporation
17.3.15. SAS Institute Inc.
17.3.16. Veritone, Inc.
18. Acronyms
