Global (AMER, EMEA, BRICS and APAC) Natural Language Processing (NLP) Market Size, Status and Forecast 2019-2025 (Includes Business Impact of COVID-19)

  • TBI298789
  • November 11, 2019
  • Global
  • 134 pages
  • TSCIR
                                          

Abstract, Snapshot, Market Analysis & Market Definition: Natural Language Processing (NLP) Market

Natural language processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language (spoken or written data), not in the artificial languages such as Java and C++. NLP in healthcare are mainly classified into the following types: machine translation, information extraction, automatic summarization, text and voice processing and other. Machine translation is the most widely used type which takes up about 45.7% of the total sales in 2018. In 2018, the global Natural Language Processing (NLP) market size was 699.8 million US$ and it is expected to reach 2522.3 million US$ by the end of 2025, with a CAGR of 20.1% during 2019-2025. This report focuses on the global Natural Language Processing (NLP) status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Natural Language Processing (NLP) development in United States, Europe and China.

Market Segmentation, Outlook & Regional Insights: Natural Language Processing (NLP) Market

Segmentation by Product Type: Breakdown of data from year 2014 to 2019 and forecast until 2025: Machine Translation Information Extraction Automatic Summarization Text and Voice Processing Others Segmentation by Application: Breakdown of data from year 2014 to 2019 and forecast until 2025: Electronic Health Records (EHR) Computer-Assisted Coding (CAC) Clinician Document Others Market segment by Regions/Countries, this report covers United States Europe China Japan Southeast Asia India Central & South America

Key Players, Recent Developments & Sector Viewpoints: Natural Language Processing (NLP) Market

3M Linguamatics Amazon AWS Nuance Communications SAS IBM Microsoft Corporation Averbis Health Fidelity Dolbey Systems

Key Insights Covered: Exhaustive Natural Language Processing (NLP) Market

1. Market size (sales, revenue and growth rate) of Natural Language Processing (NLP) industry. 2. Global major manufacturers' operating situation (sales, revenue, growth rate and gross margin) of Natural Language Processing (NLP) industry. 3. SWOT analysis, New Project Investment Feasibility Analysis, Upstream raw materials and manufacturing equipment & Industry chain analysis of Natural Language Processing (NLP) industry. 4. Market size (sales, revenue) forecast by regions and countries from 2019 to 2025 of Natural Language Processing (NLP) industry.

Research Methodology: Natural Language Processing (NLP) Market

  • Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analyzed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please Request a Sample Report.
  • Demand Side Primary Contributors: OEMs, Industrial Professionals, Researches, Suppliers and Distributors, Group Purchasing Organizations, Associations, Insurers, Universities, Technological Writers, Scientists, Promoters, Investors among others.
  • Supply Side Primary Contributors: Product Managers, Marketing Managers, C-Level Executives, Distributors, Market Intelligence, Regulatory Affairs Managers among others.

1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type

1.4.1 Global Natural Language Processing (NLP) Market Size Growth Rate by Type (2014-2025)

1.4.2 Machine Translation

1.4.3 Information Extraction

1.4.4 Automatic Summarization

1.4.5 Text and Voice Processing

1.4.6 Others
1.5 Market by Application

1.5.1 Global Natural Language Processing (NLP) Market Share by Application (2014-2025)

1.5.2 Electronic Health Records (EHR)

1.5.3 Computer-Assisted Coding (CAC)

1.5.4 Clinician Document

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