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市场调查报告书
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1604495

医疗保健预测分析领域人工智慧 (AI) 的全球市场：预测（2024-2029 年）

Artificial Intelligence (AI) In Predictive Healthcare Analytics Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 143 Pages | 商品交期: 最快1-2个工作天内

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简介目录

全球医疗保健预测分析领域人工智慧（AI）市场规模预计将从 2024 年的 51.65 亿美元增加到 2029 年的 293.6 亿美元，复合年增长率为 41.56%。

在医疗保健预测分析中实施人工智慧 (AI) 是医院和医疗保健机构中一个有趣且不断发展的议题。在预防性医疗保健解决方案中，预测分析、医疗保健分析整合和人工智慧利用患者健康资讯来预测未来的人口健康风险并提案干预措施。

此外，人工智慧预测建模，也称为预测建模，是人工智慧最广泛使用的形式。人工智慧评估来自数百万份电子健康记录(EHR) 的综合遗传、表型和生活方式资料，以预测即将发生的疾病发作、再入院的可能性以及患者对干预措施的反应。这种预测能力使服务提供者甚至可以在疾病出现之前就采取行动和设计流程，从而使医疗保健系统受益，从而使其成为改善服务的经济高效的方式。医疗保健预测分析领域的人工智慧市场相当乐观。我们设想透过策略决策、加强预防和积极部署个人化治疗来改变医疗保健服务。

医疗保健预测分析中的人工智慧 (AI) 市场驱动因素

  • 人工智慧技术的进步正在推动医疗预测分析领域人工智慧 (AI) 市场的成长。

人工智慧应用的进步是医疗保健预测分析领域人工智慧市场成长的主要原因之一。这项发展包括机器学习、自然语言处理、电脑视觉等。这项发展将使人工智慧流程能够对大量复杂的医疗资讯进行严格而广泛的分析，例如患者病历、基因组序列，甚至诊断成像。

这将允许医疗保健系统相关人员预测疾病结果、分析风险因素和客製化治疗方法，从而改变医疗保健的决策流程。基于人工智慧的预测模型的准确性和性能的提高正在增加医疗保健提供者和研究人员对这些模型的使用。人工智慧技术的发展有潜力改变医疗保健分析，按照趋势倡导促进患者福祉，并导致向预防性和基于资讯的护理的奇妙转变。

医疗保健预测分析市场中的人工智慧 (AI)：地理视角

  • 北美在预测期内将经历指数级增长

预计北美将保持其在医疗保健预测分析市场的人工智慧市场领先地位。这是由于美国医疗保健系统中医疗保健分析和预测建模人工智慧技术的广泛使用和不断增长。北美由于其发达的医疗设施、对人工智慧计划的高投资以及知名医疗技术公司的存在而保持了主导地位。

此外，该地区正在加强以患者为中心的医疗保健和精准医疗，并越来越多地使用基于人工智慧的预测分析来利用患者的治疗结果、最大限度地利用资源并改善医疗保健服务。人工智慧技术在预测医疗保健领域的发展是确保北美继续引领人工智慧在医疗保健预测分析市场的因素之一。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户群、政府政策和社会经济因素、消费者偏好、产业和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何塑造未来市场发展。
  • 可行的建议：利用洞察力做出策略决策，以在动态环境中发现新的业务流和收益。
  • 受众广泛：对于新兴企业、研究机构、顾问、中小企业和大型企业有用且具有成本效益。

它有什么用？

产业与市场考量、商机评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响

调查范围

  • 2022年至2029年的过往资料和预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争定位、策略和市场占有率分析
  • 区域收益成长和预测分析，包括细分市场和国家
  • 公司简介（主要是策略、产品、财务资讯、主要动态等）

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章医疗保健预测分析中的人工智慧 (AI) 市场：按部署类型

  • 介绍
  • 云端基础
  • 本地

第六章 医疗预测分析中的人工智慧 (AI) 市场：按应用分类

  • 介绍
  • 患者风险分类
  • 疾病诊断与预后
  • 公共卫生管理
  • 诈欺侦测
  • 供应链管理
  • 其他的

第七章 医疗保健预测分析中的人工智慧 (AI) 市场：按最终用户分类

  • 介绍
  • 医院和诊所
  • 医疗保健付款人
  • 製药和生物技术公司
  • 研究机构/学术中心
  • 其他的

第八章医疗保健预测分析中的人工智慧 (AI) 市场：按地区

  • 介绍
  • 北美洲
    • 依部署类型
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 依部署类型
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 欧洲
    • 依部署类型
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 依部署类型
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 依部署类型
    • 按用途
    • 按最终用户
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 併购/协议/合作
  • 竞争对手仪表板

第十章 公司简介

  • Ibm Corporation
  • Microsoft Corporation
  • Google Llc（Alphabet Inc.）
  • Sas Institute Inc.
  • Oracle Corporation
  • Cerner Corporation
  • Allscripts Healthcare Solutions, Inc.
  • Medeanalytics, Inc.
  • Ayasdi, Inc.
  • Health Catalyst, Inc.
简介目录
Product Code: KSI061615867

Artificial intelligence (AI) in the predictive healthcare analytics market is expected to grow at a CAGR of 41.56%, reaching a market size of US$29.360 billion in 2029 and US$5.165 billion in 2024.

The implementation of Artificial Intelligence (AI) in predictive healthcare analytics is an interesting and growing topic in hospitals and healthcare facilities. In preventive care solutions, predictive analytics, integration of healthcare analytics, and AI utilize the patient's health information, predict health risks to the population in the future, and propose interventions.

Further, artificial intelligence predictive modeling, also known as predictive modeling, is the most extensively utilized form of AI. AI evaluates the integrated data of millions of genetic, phenotypic, and lifestyle electronic health records (EHR) to predict impending disease attacks, possible readmission, and a patient's response to an intervention. This predictive capacity benefits the healthcare system by enabling the service providers to act and design the processes even before any illness appears, which is a cost-effective way of improving the services. The market for AI in predictive healthcare analytics is quite optimistic. It envisions the transformation of healthcare delivery through strategic resolution-making, enhancing prevention, and even the positive development of individualized care treatment.

Artificial intelligence (AI) in the predictive healthcare analytics market drivers?

  • Advancements in AI technologies are increasing the Artificial Intelligence (AI) In predictive healthcare analytics market growth.

Progress in the application of AI has been one of the major reasons for AI in the predictive healthcare analytics market growth. This development encompasses many things, most notably machine learning, natural language processing, and computer vision, among others. This progression enables the AI processes to conduct severe and extensive analysis of enormous and complex volumes of medical-related information such as patient history, genome sequencing, and even imagery diagnostics.

It empowers healthcare system stakeholders to predict disease outcomes, analyze risk factors, and customize treatment methodologies, thus changing the decision-making processes in healthcare. The growing precision and performance of AI-based prediction models have led to an increased use of these models by health providers and researchers. There is a possibility of alterations in healthcare analytics, enhancement of the patient's well-being as advocated by the trends, and a commendable shift to preventive and information-based treatments due to the growth in AI technologies.

Artificial intelligence (AI) in the predictive healthcare analytics market - geographical outlook

  • North America is witnessing exponential growth during the forecast period

North America was anticipated to retain its market leadership in AI in the predictive healthcare analytics market. This is due to the extensive use and growth of healthcare analytics and predictive modeling AI technology within the United States healthcare system. North America's continued dominance is also ascribed to its well-established healthcare facilities, high investment in AI projects, and presence of prominent health technology corporations.

Moreover, enhanced patient-centered healthcare and precision medicine in the region also increases the use of AI-based predictive analytics to leverage patient outcomes, maximize resource utilization, and elevate healthcare services. The developments in artificial intelligence technology in predictive healthcare are one of the factors that will guarantee that North America will continue to lead in the AI in predictive healthcare analytics market.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The Artificial Intelligence (AI) In predictive healthcare analytics market is segmented and analyzed as follows:

By Deployment Mode

  • Cloud-Based
  • On-Premise

By Application

  • Patient Risk Stratification
  • Disease Diagnosis And Prognosis
  • Population Health Management
  • Fraud Detection
  • Supply Chain Management
  • Others

By End-User

  • Hospitals And Clinics
  • Healthcare Payers
  • Pharmaceutical And Biotechnology Companies
  • Research Institutes And Academic Centers
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE (AI) IN PREDICTIVE HEALTHCARE ANALYTICS MARKET BY DEPLOYMENT MODE

  • 5.1. Introduction
  • 5.2. Cloud-Based
  • 5.3. On-Premise

6. ARTIFICIAL INTELLIGENCE (AI) IN PREDICTIVE HEALTHCARE ANALYTICS MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Patient Risk Stratification
  • 6.3. Disease Diagnosis And Prognosis
  • 6.4. Population Health Management
  • 6.5. Fraud Detection
  • 6.6. Supply Chain Management
  • 6.7. Others

7. ARTIFICIAL INTELLIGENCE (AI) IN PREDICTIVE HEALTHCARE ANALYTICS MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Hospitals And Clinics
  • 7.3. Healthcare Payers
  • 7.4. Pharmaceutical And Biotechnology Companies
  • 7.5. Research Institutes And Academic Centers
  • 7.6. Others

8. ARTIFICIAL INTELLIGENCE (AI) IN PREDICTIVE HEALTHCARE ANALYTICS MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Deployment Mode
    • 8.2.2. By Application
    • 8.2.3. BY End-User
    • 8.2.4. By Country
      • 8.2.4.1. United States
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Deployment Mode
    • 8.3.2. By Application
    • 8.3.3. BY End-User
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Deployment Mode
    • 8.4.2. By Application
    • 8.4.3. BY End-User
    • 8.4.4. By Country
      • 8.4.4.1. United Kingdom
      • 8.4.4.2. Germany
      • 8.4.4.3. France
      • 8.4.4.4. Italy
      • 8.4.4.5. Spain
      • 8.4.4.6. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Deployment Mode
    • 8.5.2. By Application
    • 8.5.3. BY End-User
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Deployment Mode
    • 8.6.2. By Application
    • 8.6.3. BY End-User
    • 8.6.4. By Country
      • 8.6.4.1. Japan
      • 8.6.4.2. China
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Indonesia
      • 8.6.4.6. Taiwan
      • 8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Ibm Corporation
  • 10.2. Microsoft Corporation
  • 10.3. Google Llc (Alphabet Inc.)
  • 10.4. Sas Institute Inc.
  • 10.5. Oracle Corporation
  • 10.6. Cerner Corporation
  • 10.7. Allscripts Healthcare Solutions, Inc.
  • 10.8. Medeanalytics, Inc.
  • 10.9. Ayasdi, Inc.
  • 10.10. Health Catalyst, Inc.