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市場調查報告書
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1604495

醫療保健預測分析領域人工智慧 (AI) 的全球市場：預測（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個工作天內

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簡介目錄

全球醫療保健預測分析領域人工智慧（AI）市場規模預計將從 2024 年的 51.65 億美元增加到 2029 年的 293.6 億美元，複合年成長率為 41.56%。

在醫療保健預測分析中實施人工智慧 (AI) 是醫院和醫療保健機構中一個有趣且不斷發展的議題。在預防性醫療保健解決方案中，預測分析、醫療保健分析整合和人工智慧利用患者健康資訊來預測未來的人口健康風險並提案干預措施。

此外，人工智慧預測建模，也稱為預測建模，是人工智慧最廣泛使用的形式。人工智慧評估來自數百萬份電子健康記錄(EHR) 的綜合遺傳、表現型和生活方式資料，以預測即將發生的疾病發作、再入院的可能性以及患者對干涉措施的反應。這種預測能力使服務提供者甚至可以在疾病出現之前就採取行動和設計流程，從而使醫療保健系統受益，從而使其成為改善服務的經濟高效的方式。醫療保健預測分析領域的人工智慧市場相當樂觀。我們設想透過策略決策、加強預防和積極部署個人化治療來改變醫療保健服務。

醫療保健預測分析中的人工智慧 (AI) 市場促進因素

  • 人工智慧技術的進步正在推動醫療預測分析領域人工智慧 (AI) 市場的成長。

人工智慧應用的進步是醫療保健預測分析領域人工智慧市場成長的主要原因之一。這項發展包括機器學習、自然語言處理、電腦視覺等。這項發展將使人工智慧流程能夠對大量複雜的醫療資訊進行嚴格而廣泛的分析，例如患者病歷、基因組序列，甚至診斷成像。

這將允許醫療保健系統相關人員預測疾病結果、分析風險因素和客製化治療方法，從而改變醫療保健的決策流程。基於人工智慧的預測模型的準確性和性能的提高正在增加醫療保健提供者和研究人員對這些模型的使用。人工智慧技術的發展有潛力改變醫療保健分析，按照趨勢倡導促進患者福祉，並導致向預防性和基於資訊的護理的奇妙轉變。

醫療保健預測分析市場中的人工智慧 (AI)：地理視角

  • 北美在預測期內將經歷指數級成長

預計北美將保持其在醫療保健預測分析市場的人工智慧市場領先地位。這是由於美國醫療保健系統中醫療保健分析和預測建模人工智慧技術的廣泛使用和不斷成長。北美由於其發達的醫療設施、對人工智慧計劃的高投資以及知名醫療技術公司的存在而保持了主導地位。

此外，該地區正在加強以患者為中心的醫療保健和精準醫療，並擴大使用基於人工智慧的預測分析來利用患者的治療結果、最大限度地利用資源並改善醫療保健服務。人工智慧技術在預測醫療保健領域的發展是確保北美繼續引領人工智慧在醫療保健預測分析市場的因素之一。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋關鍵和新興地區的深入市場洞察，重點關注客戶群、政府政策和社會經濟因素、消費者偏好、產業和其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場發展。
  • 可行的建議：利用洞察力做出策略決策，以在動態環境中發現新的業務流和收益。
  • 受眾廣泛：對於新興企業、研究機構、顧問、中小企業和大型企業有用且具有成本效益。

它有什麼用？

產業與市場考量、商機評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

調查範圍

  • 2022年至2029年的過往資料和預測
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭定位、策略和市場佔有率分析
  • 區域收益成長和預測分析，包括細分市場和國家
  • 公司簡介（主要是策略、產品、財務資訊、主要動態等）

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現
  • CXO觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章醫療保健預測分析中的人工智慧 (AI) 市場：按部署類型

  • 介紹
  • 雲端基礎
  • 本地

第6章 醫療預測分析中的人工智慧 (AI) 市場：按應用分類

  • 介紹
  • 患者風險分類
  • 疾病診斷與預後
  • 公共衛生管理
  • 詐欺偵測
  • 供應鏈管理
  • 其他

第7章 醫療保健預測分析中的人工智慧 (AI) 市場：按最終用戶分類

  • 介紹
  • 醫院和診所
  • 醫療保健付款人
  • 製藥和生物技術公司
  • 研究機構/學術中心
  • 其他

第8章醫療保健預測分析中的人工智慧 (AI) 市場：按地區

  • 介紹
  • 北美洲
    • 依部署類型
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 依部署類型
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 歐洲
    • 依部署類型
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 依部署類型
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 依部署類型
    • 按用途
    • 按最終用戶
    • 按國家/地區

第9章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 併購/協議/合作
  • 競爭對手儀表板

第10章 公司簡介

  • 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.
簡介目錄
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.

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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.