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市场调查报告书
商品编码
1876015

医疗保健领域的自然语言处理（NLP）－全球市场份额和排名、总收入和需求预测（2025-2031年）

Natural Language Processing (NLP) in Healthcare - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031
出版日期: | 出版商: QYResearch | 英文 88 Pages | 商品交期: 2-3个工作天内

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2024 年全球医疗保健领域自然语言处理 (NLP) 市场规模估计为 12.25 亿美元，预计到 2031 年将达到 30.24 亿美元，在预测期（2025-2031 年）内复合年增长率为 13.6%。

自然语言处理 (NLP) 是人工智慧的一个分支，它使用自然语言（口语和书面资料）而不是 Java 或 C++ 等人工语言来处理人机互动。

自然语言处理（NLP）的最终目标是读取、破解、理解人类语言并从中提取有意义的含义。大多数NLP技术都依赖机器学习来从人类语言中提取意义。

在医疗保健领域，自然语言处理 (NLP) 用于提高患者参与度和简化决策能力，同时将复杂的临床记录转化为可操作的资料点和见解。

自然语言处理（NLP）最早于 20 世纪 50 年代发展起来，在过去的 25 年里，随着廉价、强大的电脑的出现，并行处理技术得到了迅速发展。

医疗产业是一个独特的行业，在应用自然语言处理 (NLP) 方面需要付出更多努力，因为实际上，为英语构建的现成 NLP 库和算法根本无法在医疗产业的这种“不同语言”中发挥作用。

例如，在医学领域，SoB（呼吸困难）指的就是「呼吸困难」。缺乏这方面的知识，就难以理解病人的自述和病历，也难以做出适当的决策。

同时，研究表明，约80%的医疗资料以非结构化格式存在，需要转换为结构化资料。因此，医疗领域的自然语言处理（NLP）是一个极具前景但也极具挑战性的行业，需要专业的医学语言和文字服务。

本报告旨在按地区/国家、类型和应用对全球医疗保健领域的自然语言处理 (NLP) 市场进行全面分析，重点关注总收入、市场份额和主要企业的排名。

本报告以收益为准，对医疗保健自然语言处理 (NLP) 市场规模、估计值和预测进行了呈现，以 2024 年为基准年，并涵盖了 2020 年至 2031 年的历史数据和预测数据。报告采用定量和定性分析相结合的方法，帮助读者制定业务/成长策略、评估竞争格局、分析公司在当前市场中的地位，并就医疗保健自然语言处理 (NLP) 做出明智的业务决策。

市场区隔

公司

  • Solventum
  • Linguamatics
  • Amazon AWS
  • SAS
  • IBM
  • Microsoft（Nuance）
  • Averbis
  • Edifecs（Health Fidelity）
  • Dolbey Systems

按类型分類的细分市场

  • 机器翻译
  • 资讯撷取
  • 自动摘要
  • 文字和语音处理
  • 其他的

应用领域

  • 电子健康纪录（EHR）
  • 电脑辅助编码（CAC）
  • 临床医师文件
  • 其他的

按地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太地区
    • 中国
    • 日本
    • 韩国
    • 东南亚
    • 印度
    • 澳洲
    • 亚太其他地区
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 荷兰
    • 北欧国家
    • 其他欧洲
  • 拉丁美洲
    • 墨西哥
    • 巴西
    • 其他拉丁美洲
  • 中东和非洲
    • 土耳其
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他中东和非洲地区

The global market for Natural Language Processing (NLP) in Healthcare was estimated to be worth US$ 1225 million in 2024 and is forecast to a readjusted size of US$ 3024 million by 2031 with a CAGR of 13.6% during the forecast period 2025-2031.

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++.

The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable. Most NLP techniques rely on machine learning to derive meaning from human languages.

For healthcare use, NLP is used to improve patient engagement and bring in efficiency in decision-making capabilities, it can also convert complex clinical narratives into actionable data points and insights.

Natural Language Processing (NLP) is first developed in the 1950s, it has blossomed over the past 25 years with the availability of cheap, plentiful, and powerful computers working in parallel fashion.

Healthcare industry is a unique industry that need put more effort on the application of NLP, it is because in practice, off-the-shelf NLP libraries and algorithms built for English will fail miserably on this "different language" in the health care industry.

For example, SoB in healthcare means short of breath. If you don't know that, it is hard to understand one patient's the report or document then difficult to make decision.

At the same time, there are research show that about 80% of medical data is showed in unstructured format, which need to get structured data conversion, so NLP in healthcare is an a very promising but very challenging industry that requires specialized medical language and text services.

This report aims to provide a comprehensive presentation of the global market for Natural Language Processing (NLP) in Healthcare, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Natural Language Processing (NLP) in Healthcare by region & country, by Type, and by Application.

The Natural Language Processing (NLP) in Healthcare market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Natural Language Processing (NLP) in Healthcare.

Market Segmentation

By Company

  • Solventum
  • Linguamatics
  • Amazon AWS
  • SAS
  • IBM
  • Microsoft (Nuance)
  • Averbis
  • Edifecs (Health Fidelity)
  • Dolbey Systems

Segment by Type

  • Machine Translation
  • Information Extraction
  • Automatic Summarization
  • Text and Voice Processing
  • Other

Segment by Application

  • Electronic Health Records (EHR)
  • Computer-Assisted Coding (CAC)
  • Clinician Document
  • Other

By Region

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • Southeast Asia
    • India
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Netherlands
    • Nordic Countries
    • Rest of Europe
  • Latin America
    • Mexico
    • Brazil
    • Rest of Latin America
  • Middle East & Africa
    • Turkey
    • Saudi Arabia
    • UAE
    • Rest of MEA

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Detailed analysis of Natural Language Processing (NLP) in Healthcare company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of Natural Language Processing (NLP) in Healthcare in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of Natural Language Processing (NLP) in Healthcare in country level. It provides sigmate data by Type, and by Application for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.

Table of Contents

1 Market Overview

  • 1.1 Natural Language Processing (NLP) in Healthcare Product Introduction
  • 1.2 Global Natural Language Processing (NLP) in Healthcare Market Size Forecast (2020-2031)
  • 1.3 Natural Language Processing (NLP) in Healthcare Market Trends & Drivers
    • 1.3.1 Natural Language Processing (NLP) in Healthcare Industry Trends
    • 1.3.2 Natural Language Processing (NLP) in Healthcare Market Drivers & Opportunity
    • 1.3.3 Natural Language Processing (NLP) in Healthcare Market Challenges
    • 1.3.4 Natural Language Processing (NLP) in Healthcare Market Restraints
  • 1.4 Assumptions and Limitations
  • 1.5 Study Objectives
  • 1.6 Years Considered

2 Competitive Analysis by Company

  • 2.1 Global Natural Language Processing (NLP) in Healthcare Players Revenue Ranking (2024)
  • 2.2 Global Natural Language Processing (NLP) in Healthcare Revenue by Company (2020-2025)
  • 2.3 Key Companies Natural Language Processing (NLP) in Healthcare Manufacturing Base Distribution and Headquarters
  • 2.4 Key Companies Natural Language Processing (NLP) in Healthcare Product Offered
  • 2.5 Key Companies Time to Begin Mass Production of Natural Language Processing (NLP) in Healthcare
  • 2.6 Natural Language Processing (NLP) in Healthcare Market Competitive Analysis
    • 2.6.1 Natural Language Processing (NLP) in Healthcare Market Concentration Rate (2020-2025)
    • 2.6.2 Global 5 and 10 Largest Companies by Natural Language Processing (NLP) in Healthcare Revenue in 2024
    • 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Natural Language Processing (NLP) in Healthcare as of 2024)
  • 2.7 Mergers & Acquisitions, Expansion

3 Segmentation by Type

  • 3.1 Introduction by Type
    • 3.1.1 Machine Translation
    • 3.1.2 Information Extraction
    • 3.1.3 Automatic Summarization
    • 3.1.4 Text and Voice Processing
    • 3.1.5 Other
  • 3.2 Global Natural Language Processing (NLP) in Healthcare Sales Value by Type
    • 3.2.1 Global Natural Language Processing (NLP) in Healthcare Sales Value by Type (2020 VS 2024 VS 2031)
    • 3.2.2 Global Natural Language Processing (NLP) in Healthcare Sales Value, by Type (2020-2031)
    • 3.2.3 Global Natural Language Processing (NLP) in Healthcare Sales Value, by Type (%) (2020-2031)

4 Segmentation by Application

  • 4.1 Introduction by Application
    • 4.1.1 Electronic Health Records (EHR)
    • 4.1.2 Computer-Assisted Coding (CAC)
    • 4.1.3 Clinician Document
    • 4.1.4 Other
  • 4.2 Global Natural Language Processing (NLP) in Healthcare Sales Value by Application
    • 4.2.1 Global Natural Language Processing (NLP) in Healthcare Sales Value by Application (2020 VS 2024 VS 2031)
    • 4.2.2 Global Natural Language Processing (NLP) in Healthcare Sales Value, by Application (2020-2031)
    • 4.2.3 Global Natural Language Processing (NLP) in Healthcare Sales Value, by Application (%) (2020-2031)

5 Segmentation by Region

  • 5.1 Global Natural Language Processing (NLP) in Healthcare Sales Value by Region
    • 5.1.1 Global Natural Language Processing (NLP) in Healthcare Sales Value by Region: 2020 VS 2024 VS 2031
    • 5.1.2 Global Natural Language Processing (NLP) in Healthcare Sales Value by Region (2020-2025)
    • 5.1.3 Global Natural Language Processing (NLP) in Healthcare Sales Value by Region (2026-2031)
    • 5.1.4 Global Natural Language Processing (NLP) in Healthcare Sales Value by Region (%), (2020-2031)
  • 5.2 North America
    • 5.2.1 North America Natural Language Processing (NLP) in Healthcare Sales Value, 2020-2031
    • 5.2.2 North America Natural Language Processing (NLP) in Healthcare Sales Value by Country (%), 2024 VS 2031
  • 5.3 Europe
    • 5.3.1 Europe Natural Language Processing (NLP) in Healthcare Sales Value, 2020-2031
    • 5.3.2 Europe Natural Language Processing (NLP) in Healthcare Sales Value by Country (%), 2024 VS 2031
  • 5.4 Asia Pacific
    • 5.4.1 Asia Pacific Natural Language Processing (NLP) in Healthcare Sales Value, 2020-2031
    • 5.4.2 Asia Pacific Natural Language Processing (NLP) in Healthcare Sales Value by Region (%), 2024 VS 2031
  • 5.5 South America
    • 5.5.1 South America Natural Language Processing (NLP) in Healthcare Sales Value, 2020-2031
    • 5.5.2 South America Natural Language Processing (NLP) in Healthcare Sales Value by Country (%), 2024 VS 2031
  • 5.6 Middle East & Africa
    • 5.6.1 Middle East & Africa Natural Language Processing (NLP) in Healthcare Sales Value, 2020-2031
    • 5.6.2 Middle East & Africa Natural Language Processing (NLP) in Healthcare Sales Value by Country (%), 2024 VS 2031

6 Segmentation by Key Countries/Regions

  • 6.1 Key Countries/Regions Natural Language Processing (NLP) in Healthcare Sales Value Growth Trends, 2020 VS 2024 VS 2031
  • 6.2 Key Countries/Regions Natural Language Processing (NLP) in Healthcare Sales Value, 2020-2031
  • 6.3 United States
    • 6.3.1 United States Natural Language Processing (NLP) in Healthcare Sales Value, 2020-2031
    • 6.3.2 United States Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
    • 6.3.3 United States Natural Language Processing (NLP) in Healthcare Sales Value by Application, 2024 VS 2031
  • 6.4 Europe
    • 6.4.1 Europe Natural Language Processing (NLP) in Healthcare Sales Value, 2020-2031
    • 6.4.2 Europe Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
    • 6.4.3 Europe Natural Language Processing (NLP) in Healthcare Sales Value by Application, 2024 VS 2031
  • 6.5 China
    • 6.5.1 China Natural Language Processing (NLP) in Healthcare Sales Value, 2020-2031
    • 6.5.2 China Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
    • 6.5.3 China Natural Language Processing (NLP) in Healthcare Sales Value by Application, 2024 VS 2031
  • 6.6 Japan
    • 6.6.1 Japan Natural Language Processing (NLP) in Healthcare Sales Value, 2020-2031
    • 6.6.2 Japan Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
    • 6.6.3 Japan Natural Language Processing (NLP) in Healthcare Sales Value by Application, 2024 VS 2031
  • 6.7 South Korea
    • 6.7.1 South Korea Natural Language Processing (NLP) in Healthcare Sales Value, 2020-2031
    • 6.7.2 South Korea Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
    • 6.7.3 South Korea Natural Language Processing (NLP) in Healthcare Sales Value by Application, 2024 VS 2031
  • 6.8 Southeast Asia
    • 6.8.1 Southeast Asia Natural Language Processing (NLP) in Healthcare Sales Value, 2020-2031
    • 6.8.2 Southeast Asia Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
    • 6.8.3 Southeast Asia Natural Language Processing (NLP) in Healthcare Sales Value by Application, 2024 VS 2031
  • 6.9 India
    • 6.9.1 India Natural Language Processing (NLP) in Healthcare Sales Value, 2020-2031
    • 6.9.2 India Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
    • 6.9.3 India Natural Language Processing (NLP) in Healthcare Sales Value by Application, 2024 VS 2031

7 Company Profiles

  • 7.1 Solventum
    • 7.1.1 Solventum Profile
    • 7.1.2 Solventum Main Business
    • 7.1.3 Solventum Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
    • 7.1.4 Solventum Natural Language Processing (NLP) in Healthcare Revenue (US$ Million) & (2020-2025)
    • 7.1.5 Solventum Recent Developments
  • 7.2 Linguamatics
    • 7.2.1 Linguamatics Profile
    • 7.2.2 Linguamatics Main Business
    • 7.2.3 Linguamatics Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
    • 7.2.4 Linguamatics Natural Language Processing (NLP) in Healthcare Revenue (US$ Million) & (2020-2025)
    • 7.2.5 Linguamatics Recent Developments
  • 7.3 Amazon AWS
    • 7.3.1 Amazon AWS Profile
    • 7.3.2 Amazon AWS Main Business
    • 7.3.3 Amazon AWS Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
    • 7.3.4 Amazon AWS Natural Language Processing (NLP) in Healthcare Revenue (US$ Million) & (2020-2025)
    • 7.3.5 Amazon AWS Recent Developments
  • 7.4 SAS
    • 7.4.1 SAS Profile
    • 7.4.2 SAS Main Business
    • 7.4.3 SAS Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
    • 7.4.4 SAS Natural Language Processing (NLP) in Healthcare Revenue (US$ Million) & (2020-2025)
    • 7.4.5 SAS Recent Developments
  • 7.5 IBM
    • 7.5.1 IBM Profile
    • 7.5.2 IBM Main Business
    • 7.5.3 IBM Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
    • 7.5.4 IBM Natural Language Processing (NLP) in Healthcare Revenue (US$ Million) & (2020-2025)
    • 7.5.5 IBM Recent Developments
  • 7.6 Microsoft (Nuance)
    • 7.6.1 Microsoft (Nuance) Profile
    • 7.6.2 Microsoft (Nuance) Main Business
    • 7.6.3 Microsoft (Nuance) Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
    • 7.6.4 Microsoft (Nuance) Natural Language Processing (NLP) in Healthcare Revenue (US$ Million) & (2020-2025)
    • 7.6.5 Microsoft (Nuance) Recent Developments
  • 7.7 Averbis
    • 7.7.1 Averbis Profile
    • 7.7.2 Averbis Main Business
    • 7.7.3 Averbis Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
    • 7.7.4 Averbis Natural Language Processing (NLP) in Healthcare Revenue (US$ Million) & (2020-2025)
    • 7.7.5 Averbis Recent Developments
  • 7.8 Edifecs (Health Fidelity)
    • 7.8.1 Edifecs (Health Fidelity) Profile
    • 7.8.2 Edifecs (Health Fidelity) Main Business
    • 7.8.3 Edifecs (Health Fidelity) Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
    • 7.8.4 Edifecs (Health Fidelity) Natural Language Processing (NLP) in Healthcare Revenue (US$ Million) & (2020-2025)
    • 7.8.5 Edifecs (Health Fidelity) Recent Developments
  • 7.9 Dolbey Systems
    • 7.9.1 Dolbey Systems Profile
    • 7.9.2 Dolbey Systems Main Business
    • 7.9.3 Dolbey Systems Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
    • 7.9.4 Dolbey Systems Natural Language Processing (NLP) in Healthcare Revenue (US$ Million) & (2020-2025)
    • 7.9.5 Dolbey Systems Recent Developments

8 Industry Chain Analysis

  • 8.1 Natural Language Processing (NLP) in Healthcare Industrial Chain
  • 8.2 Natural Language Processing (NLP) in Healthcare Upstream Analysis
    • 8.2.1 Key Raw Materials
    • 8.2.2 Raw Materials Key Suppliers
    • 8.2.3 Manufacturing Cost Structure
  • 8.3 Midstream Analysis
  • 8.4 Downstream Analysis (Customers Analysis)
  • 8.5 Sales Model and Sales Channels
    • 8.5.1 Natural Language Processing (NLP) in Healthcare Sales Model
    • 8.5.2 Sales Channel
    • 8.5.3 Natural Language Processing (NLP) in Healthcare Distributors

9 Research Findings and Conclusion

10 Appendix

  • 10.1 Research Methodology
    • 10.1.1 Methodology/Research Approach
      • 10.1.1.1 Research Programs/Design
      • 10.1.1.2 Market Size Estimation
      • 10.1.1.3 Market Breakdown and Data Triangulation
    • 10.1.2 Data Source
      • 10.1.2.1 Secondary Sources
      • 10.1.2.2 Primary Sources
  • 10.2 Author Details
  • 10.3 Disclaimer

List of Tables

  • Table 1. Natural Language Processing (NLP) in Healthcare Market Trends
  • Table 2. Natural Language Processing (NLP) in Healthcare Market Drivers & Opportunity
  • Table 3. Natural Language Processing (NLP) in Healthcare Market Challenges
  • Table 4. Natural Language Processing (NLP) in Healthcare Market Restraints
  • Table 5. Global Natural Language Processing (NLP) in Healthcare Revenue by Company (2020-2025) & (US$ Million)
  • Table 6. Global Natural Language Processing (NLP) in Healthcare Revenue Market Share by Company (2020-2025)
  • Table 7. Key Companies Natural Language Processing (NLP) in Healthcare Manufacturing Base Distribution and Headquarters
  • Table 8. Key Companies Natural Language Processing (NLP) in Healthcare Product Type
  • Table 9. Key Companies Time to Begin Mass Production of Natural Language Processing (NLP) in Healthcare
  • Table 10. Global Natural Language Processing (NLP) in Healthcare Companies Market Concentration Ratio (CR5 and HHI)
  • Table 11. Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Natural Language Processing (NLP) in Healthcare as of 2024)
  • Table 12. Mergers & Acquisitions, Expansion Plans
  • Table 13. Global Natural Language Processing (NLP) in Healthcare Sales Value by Type: 2020 VS 2024 VS 2031 (US$ Million)
  • Table 14. Global Natural Language Processing (NLP) in Healthcare Sales Value by Type (2020-2025) & (US$ Million)
  • Table 15. Global Natural Language Processing (NLP) in Healthcare Sales Value by Type (2026-2031) & (US$ Million)
  • Table 16. Global Natural Language Processing (NLP) in Healthcare Sales Market Share in Value by Type (2020-2025)
  • Table 17. Global Natural Language Processing (NLP) in Healthcare Sales Market Share in Value by Type (2026-2031)
  • Table 18. Global Natural Language Processing (NLP) in Healthcare Sales Value by Application: 2020 VS 2024 VS 2031 (US$ Million)
  • Table 19. Global Natural Language Processing (NLP) in Healthcare Sales Value by Application (2020-2025) & (US$ Million)
  • Table 20. Global Natural Language Processing (NLP) in Healthcare Sales Value by Application (2026-2031) & (US$ Million)
  • Table 21. Global Natural Language Processing (NLP) in Healthcare Sales Market Share in Value by Application (2020-2025)
  • Table 22. Global Natural Language Processing (NLP) in Healthcare Sales Market Share in Value by Application (2026-2031)
  • Table 23. Global Natural Language Processing (NLP) in Healthcare Sales Value by Region, (2020 VS 2024 VS 2031) & (US$ Million)
  • Table 24. Global Natural Language Processing (NLP) in Healthcare Sales Value by Region (2020-2025) & (US$ Million)
  • Table 25. Global Natural Language Processing (NLP) in Healthcare Sales Value by Region (2026-2031) & (US$ Million)
  • Table 26. Global Natural Language Processing (NLP) in Healthcare Sales Value by Region (2020-2025) & (%)
  • Table 27. Global Natural Language Processing (NLP) in Healthcare Sales Value by Region (2026-2031) & (%)
  • Table 28. Key Countries/Regions Natural Language Processing (NLP) in Healthcare Sales Value Growth Trends, (US$ Million): 2020 VS 2024 VS 2031
  • Table 29. Key Countries/Regions Natural Language Processing (NLP) in Healthcare Sales Value, (2020-2025) & (US$ Million)
  • Table 30. Key Countries/Regions Natural Language Processing (NLP) in Healthcare Sales Value, (2026-2031) & (US$ Million)
  • Table 31. Solventum Basic Information List
  • Table 32. Solventum Description and Business Overview
  • Table 33. Solventum Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
  • Table 34. Revenue (US$ Million) in Natural Language Processing (NLP) in Healthcare Business of Solventum (2020-2025)
  • Table 35. Solventum Recent Developments
  • Table 36. Linguamatics Basic Information List
  • Table 37. Linguamatics Description and Business Overview
  • Table 38. Linguamatics Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
  • Table 39. Revenue (US$ Million) in Natural Language Processing (NLP) in Healthcare Business of Linguamatics (2020-2025)
  • Table 40. Linguamatics Recent Developments
  • Table 41. Amazon AWS Basic Information List
  • Table 42. Amazon AWS Description and Business Overview
  • Table 43. Amazon AWS Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
  • Table 44. Revenue (US$ Million) in Natural Language Processing (NLP) in Healthcare Business of Amazon AWS (2020-2025)
  • Table 45. Amazon AWS Recent Developments
  • Table 46. SAS Basic Information List
  • Table 47. SAS Description and Business Overview
  • Table 48. SAS Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
  • Table 49. Revenue (US$ Million) in Natural Language Processing (NLP) in Healthcare Business of SAS (2020-2025)
  • Table 50. SAS Recent Developments
  • Table 51. IBM Basic Information List
  • Table 52. IBM Description and Business Overview
  • Table 53. IBM Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
  • Table 54. Revenue (US$ Million) in Natural Language Processing (NLP) in Healthcare Business of IBM (2020-2025)
  • Table 55. IBM Recent Developments
  • Table 56. Microsoft (Nuance) Basic Information List
  • Table 57. Microsoft (Nuance) Description and Business Overview
  • Table 58. Microsoft (Nuance) Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
  • Table 59. Revenue (US$ Million) in Natural Language Processing (NLP) in Healthcare Business of Microsoft (Nuance) (2020-2025)
  • Table 60. Microsoft (Nuance) Recent Developments
  • Table 61. Averbis Basic Information List
  • Table 62. Averbis Description and Business Overview
  • Table 63. Averbis Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
  • Table 64. Revenue (US$ Million) in Natural Language Processing (NLP) in Healthcare Business of Averbis (2020-2025)
  • Table 65. Averbis Recent Developments
  • Table 66. Edifecs (Health Fidelity) Basic Information List
  • Table 67. Edifecs (Health Fidelity) Description and Business Overview
  • Table 68. Edifecs (Health Fidelity) Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
  • Table 69. Revenue (US$ Million) in Natural Language Processing (NLP) in Healthcare Business of Edifecs (Health Fidelity) (2020-2025)
  • Table 70. Edifecs (Health Fidelity) Recent Developments
  • Table 71. Dolbey Systems Basic Information List
  • Table 72. Dolbey Systems Description and Business Overview
  • Table 73. Dolbey Systems Natural Language Processing (NLP) in Healthcare Products, Services and Solutions
  • Table 74. Revenue (US$ Million) in Natural Language Processing (NLP) in Healthcare Business of Dolbey Systems (2020-2025)
  • Table 75. Dolbey Systems Recent Developments
  • Table 76. Key Raw Materials Lists
  • Table 77. Raw Materials Key Suppliers Lists
  • Table 78. Natural Language Processing (NLP) in Healthcare Downstream Customers
  • Table 79. Natural Language Processing (NLP) in Healthcare Distributors List
  • Table 80. Research Programs/Design for This Report
  • Table 81. Key Data Information from Secondary Sources
  • Table 82. Key Data Information from Primary Sources

List of Figures

  • Figure 1. Natural Language Processing (NLP) in Healthcare Product Picture
  • Figure 2. Global Natural Language Processing (NLP) in Healthcare Sales Value, 2020 VS 2024 VS 2031 (US$ Million)
  • Figure 3. Global Natural Language Processing (NLP) in Healthcare Sales Value (2020-2031) & (US$ Million)
  • Figure 4. Natural Language Processing (NLP) in Healthcare Report Years Considered
  • Figure 5. Global Natural Language Processing (NLP) in Healthcare Players Revenue Ranking (2024) & (US$ Million)
  • Figure 6. The 5 and 10 Largest Companies in the World: Market Share by Natural Language Processing (NLP) in Healthcare Revenue in 2024
  • Figure 7. Natural Language Processing (NLP) in Healthcare Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2020 VS 2024
  • Figure 8. Machine Translation Picture
  • Figure 9. Information Extraction Picture
  • Figure 10. Automatic Summarization Picture
  • Figure 11. Text and Voice Processing Picture
  • Figure 12. Other Picture
  • Figure 13. Global Natural Language Processing (NLP) in Healthcare Sales Value by Type (2020 VS 2024 VS 2031) & (US$ Million)
  • Figure 14. Global Natural Language Processing (NLP) in Healthcare Sales Value Market Share by Type, 2024 & 2031
  • Figure 15. Product Picture of Electronic Health Records (EHR)
  • Figure 16. Product Picture of Computer-Assisted Coding (CAC)
  • Figure 17. Product Picture of Clinician Document
  • Figure 18. Product Picture of Other
  • Figure 19. Global Natural Language Processing (NLP) in Healthcare Sales Value by Application (2020 VS 2024 VS 2031) & (US$ Million)
  • Figure 20. Global Natural Language Processing (NLP) in Healthcare Sales Value Market Share by Application, 2024 & 2031
  • Figure 21. North America Natural Language Processing (NLP) in Healthcare Sales Value (2020-2031) & (US$ Million)
  • Figure 22. North America Natural Language Processing (NLP) in Healthcare Sales Value by Country (%), 2024 VS 2031
  • Figure 23. Europe Natural Language Processing (NLP) in Healthcare Sales Value, (2020-2031) & (US$ Million)
  • Figure 24. Europe Natural Language Processing (NLP) in Healthcare Sales Value by Country (%), 2024 VS 2031
  • Figure 25. Asia Pacific Natural Language Processing (NLP) in Healthcare Sales Value, (2020-2031) & (US$ Million)
  • Figure 26. Asia Pacific Natural Language Processing (NLP) in Healthcare Sales Value by Region (%), 2024 VS 2031
  • Figure 27. South America Natural Language Processing (NLP) in Healthcare Sales Value, (2020-2031) & (US$ Million)
  • Figure 28. South America Natural Language Processing (NLP) in Healthcare Sales Value by Country (%), 2024 VS 2031
  • Figure 29. Middle East & Africa Natural Language Processing (NLP) in Healthcare Sales Value, (2020-2031) & (US$ Million)
  • Figure 30. Middle East & Africa Natural Language Processing (NLP) in Healthcare Sales Value by Country (%), 2024 VS 2031
  • Figure 31. Key Countries/Regions Natural Language Processing (NLP) in Healthcare Sales Value (%), (2020-2031)
  • Figure 32. United States Natural Language Processing (NLP) in Healthcare Sales Value, (2020-2031) & (US$ Million)
  • Figure 33. United States Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
  • Figure 34. United States Natural Language Processing (NLP) in Healthcare Sales Value by Application (%), 2024 VS 2031
  • Figure 35. Europe Natural Language Processing (NLP) in Healthcare Sales Value, (2020-2031) & (US$ Million)
  • Figure 36. Europe Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
  • Figure 37. Europe Natural Language Processing (NLP) in Healthcare Sales Value by Application (%), 2024 VS 2031
  • Figure 38. China Natural Language Processing (NLP) in Healthcare Sales Value, (2020-2031) & (US$ Million)
  • Figure 39. China Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
  • Figure 40. China Natural Language Processing (NLP) in Healthcare Sales Value by Application (%), 2024 VS 2031
  • Figure 41. Japan Natural Language Processing (NLP) in Healthcare Sales Value, (2020-2031) & (US$ Million)
  • Figure 42. Japan Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
  • Figure 43. Japan Natural Language Processing (NLP) in Healthcare Sales Value by Application (%), 2024 VS 2031
  • Figure 44. South Korea Natural Language Processing (NLP) in Healthcare Sales Value, (2020-2031) & (US$ Million)
  • Figure 45. South Korea Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
  • Figure 46. South Korea Natural Language Processing (NLP) in Healthcare Sales Value by Application (%), 2024 VS 2031
  • Figure 47. Southeast Asia Natural Language Processing (NLP) in Healthcare Sales Value, (2020-2031) & (US$ Million)
  • Figure 48. Southeast Asia Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
  • Figure 49. Southeast Asia Natural Language Processing (NLP) in Healthcare Sales Value by Application (%), 2024 VS 2031
  • Figure 50. India Natural Language Processing (NLP) in Healthcare Sales Value, (2020-2031) & (US$ Million)
  • Figure 51. India Natural Language Processing (NLP) in Healthcare Sales Value by Type (%), 2024 VS 2031
  • Figure 52. India Natural Language Processing (NLP) in Healthcare Sales Value by Application (%), 2024 VS 2031
  • Figure 53. Natural Language Processing (NLP) in Healthcare Industrial Chain
  • Figure 54. Natural Language Processing (NLP) in Healthcare Manufacturing Cost Structure
  • Figure 55. Channels of Distribution (Direct Sales, and Distribution)
  • Figure 56. Bottom-up and Top-down Approaches for This Report
  • Figure 57. Data Triangulation
  • Figure 58. Key Executives Interviewed