Natural Language Processing Market (NLP) 2018-2026 | Size, Share and Forecast | Credence Research

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The global Natural Language Processing (NLP) market accounted to hit the market value of US$ 28.60 Bn in 2026 and expected to witness CAGR of 11.71% across the forecast period through 2018 to 2026.

-- According to a new market research report published by Credence Research Natural Language Processing (NLP) Market (by Solution Type Statistical NLP, Rule-based NLP and Hybrid NLP; by Technology Type Interactive Voice Response (IVR), Optical Character Recognition (OCR), Pattern and Image Recognition, Auto-coding, Classification & Categorization, Text Analytics and Speech Analytics; by Service Type Managed Services and Professional Services; by Deployment Model Cloud-based Deployment and On-premise Deployment; by Application Machine Translation, Information Extraction, Report Generation, Question Answering and Text Processing; by Industrial Vertical Banking Financial Services and Insurance (BFSI), Automotive, Healthcare, Retail, Electronics, Media & Entertainment, IT & Telecommunications and Others) Market Growth, Future Prospects, and Competitive Analysis, 2018 - 2026 , the global Natural Language Processing (NLP) market accounted to hit the market value of US$ 28.60 Bn in 2026 and expected to witness CAGR of 11.71% across the forecast period through 2018 to 2026.

Browse the full report at https://www.credenceresearch.com/report/natural-language-processing-nlp-market

Market Insights

Natural Language Processing (NLP) is a tract of Artificial Intelligence and Linguistics, dedicated to enabling computers understand the words or statements written in human language. NLP has rapidly gained the attention of analyzing and representing human language computationally. Since all users may not be proficient in machine specific language, NLP enables the simplest possible manner to communicate with machines. NLP has spread its application in numerous sectors such as email spam detection, machine translation, information extraction, healthcare, summarization and question answering among several others.

Overall Natural Language Processing (NLP) market segmented on the basis of solution, technology, services, deployment model, application and industrial vertical. In 2017, healthcare sector was the most lucrative industrial vertical in overall NLP market. NLP enables physician to excerpt and summarize information of any drug dosage, symptoms and response data with purpose of categorizing possible side effects of any medicine. North America was the largest market for natural language processing in 2017 followed by Europe, chiefly due to promisingly growing adoption for Artificial Intelligence (AI) technology across almost all industrial verticals. The U.S. encompasses the presence of number of key market players such as 3M Company, Apple Inc., Google LLC, Hewlett-Packard Corporation and International Business Machines Corporation among several others.

Several organizations from Business intelligence (Bi) trying to get with trend and focusing on accessibility of useful data. Though the NLP was initially referred as Natural Language Understanding (NLU) in the early days of AI, the goal of NLP has not been accomplished yet. As the technology matures along with Artificial Intelligence component, the machine will understand the query better and start to deliver answers rather than search results. Such advancement in technology will further stimulate the market with rapid penetration in overlooked sectors. With rising competitive nature and penetration of Artificial Intelligence technology across almost all industrial sectors, NLP market accounted to grow with immense rate throughout the forecast period.

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ToC:
3. Market Dynamics
3.1. Overview
3.1.1. Global Natural Language Processing (NLP) Market Value, 2016 2026 (US$ Bn)
3.2. Market Inclination Insights
3.3. Market Dynamics
3.3.1. Market Drivers
3.3.2. Market Restraint
3.4. Attractive Investment Proposition, by Geography, 2017
3.5. Market Positioning of Key Natural Language Processing (NLP) Solution Providers, 2017
3.5.1. Major Strategies Adopted by Leading Companies

4. Global Natural Language Processing (NLP) Market, by Solution Type, 2016 2026 (US$ Bn)
4.1. Overview
4.2. Statistical NLP
4.3. Rule-based NLP
4.4. Hybrid NLP

5. Global Natural Language Processing (NLP) Market, by Technology Type, 2016 2026 (US$ Bn)
5.1. Overview
5.2. Interactive Voice Response (IVR)
5.3. Optical Character Recognition (OCR)
5.4. Pattern and Image Recognition
5.5. Auto-coding
5.6. Classification and Categorization
5.7. Text Analytics
5.8. Speech Analytics

6. Global Natural Language Processing (NLP) Market, by Service, 2016 2026 (US$ Bn)
6.1. Overview
6.2. Managed Services
6.3. Professional Services

7. Global Natural Language Processing (NLP) Market, by Deployment Model, 2016 2026 (US$ Bn)
7.1. Overview
7.2. Cloud-based Deployment
7.3. On-premises Deployment

8. Global Natural Language Processing (NLP) Market, by Application Type, 2016 2026 (US$ Bn)
8.1. Overview
8.2. Machine Translation
8.3. Information Extraction
8.4. Report Generation
8.5. Question Answering
8.6. Text Processing

9. Global Natural Language Processing (NLP) Market, by Industry Vertical, 2016 2026 (US$ Bn)
9.1. Overview
9.2. Banking, Financial Services and Insurance (BFSI)
9.3. IT & Telecommunication
9.4. Automotive
9.5. Healthcare
9.6. Retail
9.7. Electronics
9.8. Media & Entertainment
9.9. Others (Aerospace, Transportation etc.)
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14. Company Profiles
14.1. Apple Inc.
14.2. 3M Company
14.3. Google LLC
14.4. Dolbey Systems, Inc.
14.5. International Business Machines Corporation
14.6. Hewlett-Packard Corporation
14.7. Amazon.com, Inc.
14.8. NetBase Solutions, Inc.
14.9. Microsoft Corporation
14.10. SAS Institute Inc.
14.11. Verint Systems
14.12. SparkCognition, Inc.
14.13. Naunce Communications, Inc.
14.14. Inbenta Technologies Inc.k
..............toc continued

Browse the full report at https://www.credenceresearch.com/report/natural-language-processing-nlp-market

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