醫療保健市場中的人工智慧 - 按產品、應用分類 - 全球預測

Artificial Intelligence in Healthcare Market - By Offering, Application - Global Forecast 2024-2032

出版日期: 2024年06月24日 | 出版商:

Global Market Insights Inc. | 英文 90 Pages | 商品交期: 2-3個工作天內

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簡介目錄

由於各種技術的不斷推出和進步，2024 年至 2032 年人工智慧在醫療保健市場規模的複合年成長率預計將達到 39.2%。最近，多家公司正在推出新的人工智慧（AI）驅動的工具和解決方案，以改善診斷、患者護理和營運效率。

人工智慧演算法還有助於分析醫療資料、預測患者結果並協助制定治療計劃。這些技術進一步簡化了減少人為錯誤並提供個人化護理的流程。例如，2023 年 12 月，Google 推出了 MedLM，這是一套基礎模型，旨在幫助醫療機構透過生成式 AI 滿足其需求，從而透過先進的解決方案增強診斷、治療計劃和營運效率。

醫療保健產業的人工智慧分為產品、應用和區域。

由於透過提高診斷準確性和簡化管理任務來革新服務的需求不斷成長，服務提供領域的市場佔有率將在 2024 年至 2032 年間實現大幅複合年成長率。人工智慧廣泛用於分析醫學影像和患者資料，從而實現更早、更精確的干涉。醫療保健服務的交付和品質的持續發展將推動該細分市場的成長。

在應用方面，由於對提高治療策略的精確性和個人化的需求不斷增加，預計治療規劃領域的人工智慧在2024年至2032年期間將出現顯著的複合年成長率。人工智慧演算法用於分析患者資料，以製定客製化治療計劃以改善治療結果。隨著技術的不斷進步，治療計劃應用程式變得越來越複雜，可以在醫療保健領域提供前所未有的準確性和個人化水平。

由於遠距醫療的擴張，到 2032 年，亞太地區人工智慧在醫療保健產業的規模將顯著成長。醫療專業人員正在使用人工智慧驅動的工具即時分析患者資料，以促進及時、準確的醫療諮詢。偏遠地區的患者也無需親自就診即可獲得高品質的照護。為了提高醫療保健結果和患者滿意度，人們正在大力提高人工智慧遠距醫療服務的效率和便利性，這將推動整個地區的市場成長。

產業生態系統分析
產業影響力
- 成長動力
  - 人工智慧在醫療保健研究領域的採用不斷增加
  - 未來應用範圍不斷擴大
  - 巨量資料分析的進步
  - 中國和新加坡有利的融資環境
- 產業陷阱與挑戰
  - 初始資本要求高
  - 有關患者資料的安全問題
成長潛力分析
專利分析
啟動場景
人工智慧在醫療保健項目中的應用
- 微軟宣布新的人工智慧健康機器人項目
- iCarbonX領導使用人工智慧的聯盟
- Orbital Media 開發尖端人工智慧技術
- 合作夥伴 HealthCare 與 GE 合作
醫療和技術進步
- 美國
- 歐洲
- 亞太地區
監管環境
- 美國
- 歐洲
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司矩陣分析
主要市場參與者的競爭分析
競爭定位矩陣
戰略儀錶板

第 5 章：市場估計與預測：按產品分類，2021 - 2032 年

主要趨勢
軟體
- 機器學習
- 自然語言處理
- 上下文感知計算
- 電腦視覺
服務

第 6 章：市場估計與預測：按應用分類，2021 - 2032

主要趨勢
醫學影像與診斷
藥物發現
治療計劃
醫院工作流程
穿戴式裝置
虛擬助理
其他應用

第 7 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 德國
- 英國
- 法國
- 西班牙
- 義大利
- 荷蘭
- 瑞典
- 歐洲其他地區
亞太地區
- 中國
- 日本
- 印度
- 澳洲
- 韓國
- 新加坡
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地區
中東和非洲
- 南非
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 中東和非洲其他地區

第 8 章：公司簡介

Aidoc
AiCure
APIXIO, Inc.
Atomwise, Inc.
Butterfly Network
Dassault Systemes (Medidata)
Enlitic Inc.
Koninklijke Philips N.V.
IBM Corporation
iCarbonX
Insilico Medicine Inc
Itrex Group
IQVIA
NVIDIA Corporation
Sophia Genetics

簡介目錄

Product Code: 1557

Artificial Intelligence in Healthcare Market size is set to record 39.2% CAGR from 2024 to 2032 due to increasing launches and advancements in various technologies. Of late, several companies are introducing new AI (artificial Intelligence)-powered tools and solutions for improving diagnostics, patient care, and operational efficiency.

AI algorithms are also helping in analyzing medical data, predict patient outcomes, and assist in treatment planning. These technologies are further streamlining the processes for reducing human error and providing personalized care. For instance, in December 2023, Google introduced MedLM, a suite of foundation models to assist healthcare organizations in meeting their needs through generative AI for enhancing diagnostics, treatment planning, and operational efficiency with advanced solutions.

The AI in healthcare industry is segmented into offering, application, and region.

The market share from the services offering segment will record a substantial CAGR between 2024 and 2032, due to the rising need for revolutionizing services by enhancing diagnostic accuracy and streamlining administrative tasks. AI is widely used for analyzing medical images and patient data, leading to earlier and more precise interventions. The ongoing evolution for transforming the delivery and quality of healthcare services will drive the segment growth.

In terms of application, the artificial intelligence in healthcare market from the therapy planning segment is anticipated to witness significant CAGR from 2024-2032, owing to the increasing demand for enhancing precision and personalization in treatment strategies. AI algorithms are used for analyzing patient data to develop customized therapy plans for improving treatment outcomes. With increasing advancements, therapy planning applications are becoming more sophisticated for offering unprecedented levels of accuracy and personalization in healthcare.

Asia Pacific AI in healthcare industry size will record significant growth through 2032 due to the expansion of telemedicine. Medical professionals are using AI-powered tools to analyze patient data in real-time for facilitating prompt and precise medical consultations. Patients in remote areas are also receiving high-quality care without the need for physical visits. The surging efforts on making AI telemedicine services more efficient and accessible for improving healthcare outcomes and patient satisfaction will drive the market growth across the region.

Chapter 1 Methodology & Scope

1.1 Market scope & definitions
1.2 Research design
- 1.2.1 Research approach
- 1.2.2 Data collection methods
1.3 Base estimates & calculations
- 1.3.1 Base year calculation
- 1.3.2 Key trends for market estimation
1.4 Forecast model
1.5 Primary research and validation
- 1.5.1 Primary sources
- 1.5.2 Data mining sources

Chapter 2 Executive Summary

2.1 Industry 360° synopsis

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Industry impact forces
- 3.2.1 Growth drivers
  - 3.2.1.1 Rising adoption of artificial intelligence in healthcare in research areas
  - 3.2.1.2 Increasing range of future applications
  - 3.2.1.3 Advancements in big data analytics
  - 3.2.1.4 Favorable funding scenario in China and Singapore
- 3.2.2 Industry pitfalls & challenges
  - 3.2.2.1 High initial capital requirement
  - 3.2.2.2 Security concerns regarding patient data
3.3 Growth potential analysis
3.4 Patent analysis
3.5 Start-up scenario
3.6 Artificial intelligence in healthcare projects
- 3.6.1 Microsoft announced new AI powered health bot project
- 3.6.2 iCarbonX heads consortium using artificial
- 3.6.3 Orbital Media develops cutting edge artificial intelligence technologies
- 3.6.4 Partners HealthCare and GE collaborates
3.7 Medical and technological advancements
- 3.7.1 U.S.
- 3.7.2 Europe
- 3.7.3 Asia Pacific
3.8 Regulatory landscape
- 3.8.1 U.S.
- 3.8.2 Europe
3.9 Porter's analysis
3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company matrix analysis
4.3 Competitive analysis of major market players
4.4 Competitive positioning matrix
4.5 Strategic dashboard

Chapter 5 Market Estimates and Forecast, By Offering, 2021 - 2032 ($ Mn)

5.1 Key trends
5.2 Software
- 5.2.1 Machine learning
- 5.2.2 Natural language processing
- 5.2.3 Context-aware computing
- 5.2.4 Computer vision
5.3 Services

Chapter 6 Market Estimates and Forecast, By Application, 2021 - 2032 ($ Mn)

6.1 Key trends
6.2 Medical imaging & diagnosis
6.3 Drug discovery
6.4 Therapy planning
6.5 Hospital workflow
6.6 Wearables
6.7 Virtual assistants
6.8 Other applications

Chapter 7 Market Estimates and Forecast, By Region, 2021 - 2032 ($ Mn)

7.1 Key trends
7.2 North America
- 7.2.1 U.S.
- 7.2.2 Canada
7.3 Europe
- 7.3.1 Germany
- 7.3.2 UK
- 7.3.3 France
- 7.3.4 Spain
- 7.3.5 Italy
- 7.3.6 Netherlands
- 7.3.7 Sweden
- 7.3.8 Rest of Europe
7.4 Asia Pacific
- 7.4.1 China
- 7.4.2 Japan
- 7.4.3 India
- 7.4.4 Australia
- 7.4.5 South Korea
- 7.4.6 Singapore
- 7.4.7 Rest of Asia Pacific
7.5 Latin America
- 7.5.1 Brazil
- 7.5.2 Mexico
- 7.5.3 Rest of Latin America
7.6 Middle East and Africa
- 7.6.1 South Africa
- 7.6.2 Saudi Arabia
- 7.6.3 UAE
- 7.6.4 Rest of Middle East and Africa