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市场调查报告书
商品编码
1386419

医疗保健和生命科学自然语言处理市场报告：2030 年趋势、预测和竞争分析

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个工作天内

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简介目录

医疗保健和生命科学自然语言处理的趋势和预测

到 2030 年，全球医疗保健和生命科学自然语言处理市场预计将达到 100.1 亿美元，2024 年至 2030 年年复合成长率为 25.0%。该市场的主要驱动力是透过识别大型数据集中的模式来从大量非结构化医疗保健和生命科学资料、新药和治疗方法中进行高级资料分析和资讯提取的高度需求；开拓效率和有效性的需求日益成长的医疗保健服务。全球医疗保健和生命科学自然语言处理市场的未来充满希望，解决方案和服务市场存在商机。

医疗保健和生命科学的自然语言处理市场洞察

Lucintel 预测，由于该统计数据在机器翻译、语音辨识和文字摘要等各种应用中的使用不断增长，预计在预测期内将实现最高增长。

由于人工智慧技术的适应性增强，预计北美地区在预测期内将出现最高的成长。

本报告回答了 11 个关键问题：

  • Q.1. 细分市场中最有前途和高成长的机会是什么？
  • Q.2. 未来哪个细分市场成长较快？为什么？
  • Q.3.您认为哪些地区未来会出现更快的成长？为什么？
  • Q.4. 影响市场动态的主要因素有哪些？市场的主要挑战和商业风险是什么？
  • Q.5. 这个市场的商业风险和竞争威胁是什么？
  • Q.6.这个市场有哪些新趋势？为什么？
  • Q.7.市场客户需求有何改变？
  • Q.8. 该市场有哪些新发展以及哪些公司处于领先地位？
  • Q.9.这个市场的主要企业有哪些？主要企业采取哪些策略配合措施来发展业务？
  • Q.10. 该市场上的竞争产品有哪些？由于材料或产品替代而导致市场占有率下降的威胁有多大？
  • Q.11.过去年度发生了哪些併购事件，对产业产生了哪些影响？

目录

第1章执行摘要

第2章全球医疗保健与生命科学自然语言处理市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第3章2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球医疗保健和生命科学自然语言处理市场趋势（2018-2023）和预测（2024-2030）
  • 全球医疗保健和生命科学自然语言处理市场（按组成部分）
    • 解决方案
    • 服务
  • 按 NLP 类型分類的全球医疗保健和生命科学自然语言处理市场
    • 统计
    • 混合
  • 全球医疗保健和生命科学自然语言处理市场（按应用）
    • 临床实验匹配
    • 药物研发
    • 其他的
  • 按最终用途分類的全球医疗保健和生命科学自然语言处理市场
    • 公共卫生/政府机构
    • 医疗设备
    • 医疗保险
    • 药品
    • 其他的

第4章2018-2030年分地区市场趋势及预测分析

  • 全球医疗保健和生命科学自然语言处理市场（按地区）
  • 北美医疗保健与生命科学自然语言处理市场
  • 欧洲医疗保健与生命科学自然语言处理市场
  • 亚太地区医疗保健和生命科学自然语言处理市场
  • 其他地区医疗保健和生命科学领域的自然语言处理市场

第5章竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第6章成长机会与策略分析

  • 成长机会分析
    • 全球自然语言处理医疗保健和生命科学市场成长机会（按组成部分）
    • 按 NLP 类型分類的全球医疗保健和生命科学自然语言处理市场成长机会
    • 全球医疗保健和生命科学自然语言处理市场成长机会（按应用）
    • 全球医疗保健和生命科学自然语言处理市场成长机会（按最终用途）
    • 全球医疗保健和生命科学自然语言处理市场成长机会（按地区）
  • 全球医疗保健和生命科学自然语言处理市场新趋势
  • 战略分析
    • 新产品开发
    • 扩大医疗保健和生命科学领域的全球自然语言处理市场的能力
    • 全球医疗保健和生命科学自然语言处理市场的合併、收购和合资企业
    • 认证和许可

第7章主要企业概况

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

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