医疗保健市场中的人工智慧 - 按产品、应用划分 - 全球预测

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个工作天内

价格

简介目录

由于各种技术的不断推出和进步，2024 年至 2032 年人工智慧在医疗保健市场规模的复合年增长率预计将达到 39.2%。最近，多家公司正在推出新的人工智慧（AI）驱动的工具和解决方案，以改善诊断、患者护理和营运效率。

人工智慧演算法还有助于分析医疗资料、预测患者结果并协助制定治疗计划。这些技术进一步简化了减少人为错误并提供个人化护理的流程。例如，2023 年 12 月，Google 推出了 MedLM，这是一套基础模型，旨在帮助医疗机构透过生成式 AI 满足其需求，从而透过先进的解决方案增强诊断、治疗计划和营运效率。

医疗保健产业的人工智慧分为产品、应用和区域。

由于透过提高诊断准确性和简化管理任务来革新服务的需求不断增长，服务提供领域的市场份额将在 2024 年至 2032 年间实现大幅复合年增长率。人工智慧广泛用于分析医学影像和患者资料，从而实现更早、更精确的干预。医疗保健服务的交付和品质的持续发展将推动该细分市场的成长。

在应用方面，由于对提高治疗策略的精确性和个人化的需求不断增加，预计治疗规划领域的人工智慧在2024年至2032年期间将出现显着的复合年增长率。人工智慧演算法用于分析患者资料，以製定客製化治疗计划以改善治疗结果。随着技术的不断进步，治疗计划应用程式变得越来越复杂，可以在医疗保健领域提供前所未有的准确性和个人化水平。

由于远距医疗的扩张，到 2032 年，亚太地区人工智慧在医疗保健产业的规模将显着成长。医疗专业人员正在使用人工智慧驱动的工具即时分析患者资料，以促进及时、准确的医疗咨询。偏远地区的患者也无需亲自就诊即可获得高品质的照护。为了提高医疗保健结果和患者满意度，人们正在大力提高人工智慧远距医疗服务的效率和便利性，这将推动整个地区的市场成长。

产业生态系统分析
产业影响力
- 成长动力
  - 人工智慧在医疗保健研究领域的采用不断增加
  - 未来应用范围不断扩大
  - 巨量资料分析的进步
  - 中国和新加坡有利的融资环境
- 产业陷阱与挑战
  - 初始资本要求高
  - 有关患者资料的安全问题
成长潜力分析
专利分析
启动场景
人工智慧在医疗保健项目中的应用
- 微软宣布新的人工智慧健康机器人项目
- iCarbonX领导使用人工智慧的联盟
- Orbital Media 开发尖端人工智慧技术
- 合作伙伴 HealthCare 与 GE 合作
医疗和技术进步
- 我们
- 欧洲
- 亚太地区
监管环境
- 我们
- 欧洲
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司矩阵分析
主要市场参与者的竞争分析
竞争定位矩阵
战略仪錶板

第 5 章：市场估计与预测：按产品分类，2021 - 2032 年

主要趋势
软体
- 机器学习
- 自然语言处理
- 上下文感知计算
- 电脑视觉
服务

第 6 章：市场估计与预测：按应用分类，2021 - 2032

主要趋势
医学影像与诊断
药物发现
治疗计划
医院工作流程
穿戴式装置
虚拟助理
其他应用

第 7 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 德国
- 英国
- 法国
- 西班牙
- 义大利
- 荷兰
- 瑞典
- 欧洲其他地区
亚太地区
- 中国
- 日本
- 印度
- 澳洲
- 韩国
- 新加坡
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地区
中东和非洲
- 南非
- 沙乌地阿拉伯
- 阿联酋
- 中东和非洲其他地区

第 8 章：公司简介

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

简介目录

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