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市場調查報告書
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1386419

醫療保健和生命科學自然語言處理市場報告：2030 年趨勢、預測和競爭分析

Natural Language Processing For Healthcare & Life Science Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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簡介目錄

醫療保健和生命科學自然語言處理的趨勢和預測

到 2030 年，全球醫療保健和生命科學自然語言處理市場預計將達到 100.1 億美元，2024 年至 2030 年年複合成長率為 25.0%。該市場的主要驅動力是透過識別大型資料集中的模式來從大量非結構化醫療保健和生命科學資料、新藥和治療方法中進行高級資料分析和資訊提取的高度需求；開拓效率和有效性的需求日益成長的醫療保健服務。全球醫療保健和生命科學自然語言處理市場的未來充滿希望，解決方案和服務市場存在商機。

醫療保健和生命科學的自然語言處理市場洞察

Lucintel 預測，由於該統計數據在機器翻譯、語音辨識和文字摘要等各種應用中的使用不斷成長，預計在預測期內將實現最高成長。

由於人工智慧技術的適應性增強，預計北美地區在預測期內將出現最高的成長。

本報告回答了 11 個關鍵問題：

  • Q.1. 細分市場中最有前途和高成長的機會是什麼？
  • Q.2. 未來哪個細分市場成長較快？為什麼？
  • Q.3.您認為哪些地區未來會出現更快的成長？為什麼？
  • Q.4. 影響市場動態的主要因素有哪些？市場的主要挑戰和商業風險是什麼？
  • Q.5. 這個市場的商業風險和競爭威脅是什麼？
  • Q.6.這個市場有哪些新趨勢？為什麼？
  • Q.7.市場客戶需求有何改變？
  • Q.8. 該市場有哪些新發展以及哪些公司處於領先地位？
  • Q.9.這個市場的主要企業有哪些？主要企業採取哪些策略配合措施來發展業務？
  • Q.10. 該市場上的競爭產品有哪些？由於材料或產品替代而導致市場佔有率下降的威脅有多大？
  • Q.11.過去年度發生了哪些併購事件，對產業產生了哪些影響？

目錄

第1章 執行摘要

第2章 全球醫療保健與生命科學自然語言處理市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球醫療保健和生命科學自然語言處理市場趨勢（2018-2023）和預測（2024-2030）
  • 全球醫療保健和生命科學自然語言處理市場（按組成部分）
    • 解決方案
    • 服務
  • 按 NLP 類型分類的全球醫療保健和生命科學自然語言處理市場
    • 統計
    • 混合
  • 全球醫療保健和生命科學自然語言處理市場（按應用）
    • 臨床實驗匹配
    • 藥物研發
    • 其他
  • 按最終用途分類的全球醫療保健和生命科學自然語言處理市場
    • 公共衛生/政府機構
    • 醫療設備
    • 醫療保險
    • 藥品
    • 其他

第4章 2018-2030年分地區市場趨勢及預測分析

  • 全球醫療保健和生命科學自然語言處理市場（按地區）
  • 北美醫療保健與生命科學自然語言處理市場
  • 歐洲醫療保健與生命科學自然語言處理市場
  • 亞太地區醫療保健和生命科學自然語言處理市場
  • 其他地區醫療保健和生命科學領域的自然語言處理市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球自然語言處理醫療保健和生命科學市場成長機會（按組成部分）
    • 按 NLP 類型分類的全球醫療保健和生命科學自然語言處理市場成長機會
    • 全球醫療保健和生命科學自然語言處理市場成長機會（按應用）
    • 全球醫療保健和生命科學自然語言處理市場成長機會（按最終用途）
    • 全球醫療保健和生命科學自然語言處理市場成長機會（按地區）
  • 全球醫療保健和生命科學自然語言處理市場新趨勢
  • 戰略分析
    • 新產品開發
    • 擴大醫療保健和生命科學領域的全球自然語言處理市場的能力
    • 全球醫療保健和生命科學自然語言處理市場的合併、收購和合資企業
    • 認證和許可

第7章 主要企業概況

  • IBM
  • Google
  • Microsoft
  • Amazon Web Services（AWS）
  • Nuance
  • SAS Institute
  • Cerner
簡介目錄

Natural Language Processing For Healthcare & Life Science Trends and Forecast

The future of the global natural language processing for healthcare & life science market looks promising with opportunities in the solution and service markets. The global natural language processing for healthcare & life science market is expected to reach an estimated $10.01 billion by 2030 with a CAGR of 25.0% from 2024 to 2030. The major drivers for this market are high need for advanced data analysis and information extraction from vast amounts of unstructured healthcare and life sciences data, development of new drugs and treatments by identifying patterns in large datasets, and growing need to improve the efficiency and effectiveness of healthcare delivery.

A more than 150-page report is developed to help in your business decisions.

Natural Language Processing For Healthcare & Life Science by Segment

The study includes a forecast for the global natural language processing for healthcare & life science by component, NLP type, application, end use, and region.

Natural Language Processing For Healthcare & Life Science Market by Component [Shipment Analysis by Value from 2018 to 2030]:

  • Solutions
  • Services

Natural Language Processing For Healthcare & Life Science Market by NLP Type [Shipment Analysis by Value from 2018 to 2030]:

  • Statistical
  • Hybrid

Natural Language Processing For Healthcare & Life Science Market by Application [Shipment Analysis by Value from 2018 to 2030]:

  • Clinical Trail Matching
  • Drug Discovery
  • Others

Natural Language Processing For Healthcare & Life Science Market by End Use [Shipment Analysis by Value from 2018 to 2030]:

  • Public Health & Government Agencies
  • Medical Devices
  • Healthcare Insurance
  • Pharmaceuticals
  • Others

Natural Language Processing For Healthcare & Life Science Market by Region [Shipment Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Natural Language Processing For Healthcare & Life Science Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies natural language processing for healthcare & life science companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the natural language processing for healthcare & life science companies profiled in this report include-

  • IBM
  • Google
  • Microsoft
  • Amazon Web Services (AWS)
  • Nuance
  • SAS Institute
  • Cerner

Natural Language Processing For Healthcare & Life Science Market Insights

Lucintel forecasts that statistical is expected to witness highest growth over the forecast period because of growing usage in a variety of applications, including machine translation, speech recognition, and text summarization.

North America is expected to witness highest growth over the forecast period due to the adaption of artificial intelligence technologies in the region.

Features of the Global Natural Language Processing For Healthcare & Life Science Market

Market Size Estimates: Natural language processing for healthcare & life science market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Natural language processing for healthcare & life science market size by various segments, such as by component, NLP type, application, end use, and region in terms of ($B).

Regional Analysis: Natural language processing for healthcare & life science market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different component, NLP type, application, end use, and regions for the natural language processing for healthcare & life science market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the natural language processing for healthcare & life science market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q.1 What is the natural language processing for healthcare & life science market size?

Answer: The global natural language processing for healthcare & life science market is expected to reach an estimated $10.01 billion by 2030.

Q.2 What is the growth forecast for natural language processing for healthcare & life science market?

Answer: The global natural language processing for healthcare & life science market is expected to grow with a CAGR of 25.0% from 2024 to 2030.

Q.3 What are the major drivers influencing the growth of the natural language processing for healthcare & life science market?

Answer: The major drivers for this market are high need for advanced data analysis and information extraction from vast amounts of unstructured healthcare and life sciences data, development of new drugs and treatments by identifying patterns in large datasets, and growing need to improve the efficiency and effectiveness of healthcare delivery.

Q4. What are the major segments for natural language processing for healthcare & life science market?

Answer: The future of the global natural language processing for healthcare & life science market looks promising with opportunities in the solution and service markets.

Q5. Who are the key natural language processing for healthcare & life science market companies?

Answer: Some of the key natural language processing for healthcare & life science companies are as follows:

  • IBM
  • Google
  • Microsoft
  • Amazon Web Services (AWS)
  • Nuance
  • SAS Institute
  • Cerner

Q6. Which natural language processing for healthcare & life science market segment will be the largest in future?

Answer: Lucintel forecasts that statistical is expected to witness highest growth over the forecast period because of growing usage in a variety of applications, including machine translation, speech recognition, and text summarization.

Q7. In natural language processing for healthcare & life science market, which region is expected to be the largest in next 5 years?

Answer: North America is expected to witness highest growth over the forecast period due to the adaption of artificial intelligence technologies in the region.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the natural language processing for healthcare & life science market by component (solutions and services), NLP type (statistical and hybrid), application (clinical trail matching, drug discovery, and others), end use (public health & government agencies, medical devices, healthcare insurance, pharmaceuticals, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Natural Language Processing For Healthcare & Life Science Market : Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global Natural Language Processing For Healthcare & Life Science Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global Natural Language Processing For Healthcare & Life Science Market by Component
    • 3.3.1: Solutions
    • 3.3.2: Services
  • 3.4: Global Natural Language Processing For Healthcare & Life Science Market by NLP Type
    • 3.4.1: Statistical
    • 3.4.2: Hybrid
  • 3.5: Global Natural Language Processing For Healthcare & Life Science Market by Application
    • 3.5.1: Clinical Trail Matching
    • 3.5.2: Drug Discovery
    • 3.5.3: Others
  • 3.6: Global Natural Language Processing For Healthcare & Life Science Market by End Use
    • 3.6.1: Public Health & Government Agencies
    • 3.6.2: Medical Devices
    • 3.6.3: Healthcare Insurance
    • 3.6.4: Pharmaceuticals
    • 3.6.5: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global Natural Language Processing For Healthcare & Life Science Market by Region
  • 4.2: North American Natural Language Processing For Healthcare & Life Science Market
    • 4.2.2: North American Natural Language Processing For Healthcare & Life Science Market by NLP Type: Statistical and Hybrid
  • 4.3: European Natural Language Processing For Healthcare & Life Science Market
    • 4.3.1: European Natural Language Processing For Healthcare & Life Science Market by Component: Solutions and Services
    • 4.3.2: European Natural Language Processing For Healthcare & Life Science Market by NLP Type: Statistical and Hybrid
  • 4.4: APAC Natural Language Processing For Healthcare & Life Science Market
    • 4.4.1: APAC Natural Language Processing For Healthcare & Life Science Market by Component: Solutions and Services
    • 4.4.2: APAC Natural Language Processing For Healthcare & Life Science Market by NLP Type: Statistical and Hybrid
  • 4.5: ROW Natural Language Processing For Healthcare & Life Science Market
    • 4.5.1: ROW Natural Language Processing For Healthcare & Life Science Market by Component: Solutions and Services
    • 4.5.2: ROW Natural Language Processing For Healthcare & Life Science Market by NLP Type: Statistical and Hybrid

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global Natural Language Processing For Healthcare & Life Science Market by Component
    • 6.1.2: Growth Opportunities for the Global Natural Language Processing For Healthcare & Life Science Market by NLP Type
    • 6.1.3: Growth Opportunities for the Global Natural Language Processing For Healthcare & Life Science Market by Application
    • 6.1.4: Growth Opportunities for the Global Natural Language Processing For Healthcare & Life Science Market by End Use
    • 6.1.5: Growth Opportunities for the Global Natural Language Processing For Healthcare & Life Science Market by Region
  • 6.2: Emerging Trends in the Global Natural Language Processing For Healthcare & Life Science Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Natural Language Processing For Healthcare & Life Science Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Natural Language Processing For Healthcare & Life Science Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: IBM
  • 7.2: Google
  • 7.3: Microsoft
  • 7.4: Amazon Web Services (AWS)
  • 7.5: Nuance
  • 7.6: SAS Institute
  • 7.7: Cerner