首页 > 市场调查报告书 > 医疗设备

e保健体外诊断药物开发人工智能人工智能药物研发诊断用人工智能

市场调查报告书

商品编码

1498608

医疗保健领域的人工智慧市场规模、份额、成长分析，按组件、按技术、按应用、按最终用户、按地区 - 行业预测，2024-2031 年

Artificial Intelligence in Healthcare Market Size, Share, Growth Analysis, By Component, By Technology(Machine Learning ), By Application, By End-User, By Region - Industry Forecast 2024-2031

出版日期: 2024年06月11日 | 出版商:

SkyQuest | 英文 219 Pages | 商品交期: 3-5个工作天内

价格

简介目录

2022年人工智慧医疗保健市场规模将为140.9亿美元，预测期间（2024-2031年）复合年增长率为38.2%，从2023年的194.8亿美元增至2031年的2591.1亿美元，预计还会增长。

推动人工智慧在医疗保健领域发展的主要好处包括显着减少错误以及为医务人员提供强有力的支援。人工智慧技术的进步为医疗保健组织提供了 24/7 持续提供病患服务的机会。人工智慧是一个多功能平台，可用于所有部门，实现医疗诊断、影像分析、治疗计划以及 X 光和扫描等程序等功能。它还简化了业务流程，从回答聊天支援会话中的问题到分析人口健康资料，从而更有效地利用人力并提高为患者提供的专业护理的品质。这种能力使得许多新兴企业专注于预测建模，利用人工智慧分析大型资料集并预测未来的医疗保健趋势。在日常业务中需要管理多个资料输入的医疗保健组织预计将受益于资料整合和自然语言处理的进一步进步。在欧洲，人工智慧已经被用于支援患者照护和临床决策，无论是在患者还是在管理方面。例如，生成式人工智慧透过监管业务的自动化，让护理师可以将直接照护患者的时间增加 20%，从而提高护理人员效率。机器学习技术在医疗保健的各个领域提供了巨大的潜力，包括医学影像分析、预测分析、个人化治疗计划和药物分析，有可能彻底改变传统的医疗实践。此外，由于对新技术产品的需求不断增加、现有参与者的扩张以及新参与者的出现，市场预计将成长。

技术分析
价格分析
价值链分析
专利分析
PESTEL分析
案例研究分析
- Microsoft 与克利夫兰诊所合作，利用预测和进阶分析来识别潜在风险的 ICU 患者。
- TGEN 与英特尔公司和戴尔技术公司合作，帮助医生和研究人员加快诊断和治疗速度，同时降低成本。
- Insilico 开发了用于药物识别的机器学习工具和用于设计新型化合物的 Chemistry42。
- GE Healthcare 透过使用医学影像资料减少工作流程中的处理时间来改善病患治疗结果。
客户和购买标准分析
贸易分析
市场生态系统
监管环境
创新矩阵
主要投资分析
关键成功因素
竞争程度

医疗保健领域的人工智慧市场：按组成部分

市场概况
硬体
- 处理器
  - MPU/CPU
  - GPU
  - FPGA
  - ASIC
- 记忆
- 通讯网路
  - 适配器
  - 转变
  - 互连
软体
- 人工智慧平台
  - 应用程式介面 (API)
  - 机器学习框架
- 人工智慧解决方案
  - 本地
  - 云
- 服务
  - 部署与集成
  - 支援与维护

医疗保健领域的人工智慧市场：按技术分类

市场概况
机器学习
- 深度学习
- 监督的
- 无监督
- 强化学习
- 其他（强化学习、半监督式学习）
自然语言处理
- 虚拟实境
- OCCR
- 图案和图像识别
- 自动编码
- 分类与分类
- 文字分析
- 语音分析
上下文感知计算
- 设备情境
- 使用者情境
- 物理环境
电脑视觉

医疗保健领域的人工智慧市场：按应用分类

市场概况
机器人辅助手术
虚拟助理
诈欺识别
患者资料和风险分析
医学影像诊断
减少用药错误
药物发现
医疗保健网路安全
生活方式管理和远端患者监护
住院护理和医院管理
医疗资料安全
医疗风险预测
其他的

医疗保健领域的人工智慧市场：按最终用户分类

市场概况
医院和医疗保健提供者
医疗保健付款人
製药和生物技术公司
病人
其他（ACO 和 MCO）

医疗保健领域的人工智慧市场：按地区分類的规模

市场概况
北美洲
- 美国
- 加拿大
欧洲
- 德国
- 西班牙
- 法国
- 英国
- 义大利
- 其他欧洲国家地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 其他亚太地区
拉丁美洲
- 巴西
- 其他拉丁美洲地区
中东和非洲 (MEA)
- 海湾合作委员会国家
- 南非
- 其他中东/非洲地区

竞争格局

前5名企业对比
主要企业市场定位（2023年）
主要市场参与者所采取的策略
近期市集活动
主要企业市场占有率（2023年）

主要企业简介

Microsoft Corporation
Alphabet Inc.
NVIDIA Corporation
General Vision, Inc.
Intel Corporation
IBM Corporation
MedicalValues GmbH
General Electric Company
Subtle Medical, Inc
Corti ApS
Qure.ai
Venn Biosciences Corp.
Koninklijke Philips N V.
Siemens Healthineers
Lunit, Inc.
Biobeat
Fuse-AI GmbH
Sirona Medical, Inc.
Qventus, Inc.
Stryker

简介目录

Product Code: SQMIG35G2090

Artificial Intelligence in Healthcare Market size was valued at USD 14.09 billion in 2022 and is poised to grow from USD 19.48 billion in 2023 to USD 259.11 billion by 2031, growing at a CAGR of 38.2% during the forecast period (2024-2031)

The primary benefits driving the growth of AI in healthcare include the significant reduction of errors and robust support for medical staff. Advances in AI technology provide medical organizations with opportunities to offer patient services continuously, 24/7. AI is a versatile platform used across all departments for functions such as medical diagnostics, image analysis, treatment planning, and procedures like X-rays and scans. It also simplifies business processes, from responding to questions in chat support sessions to analysing population health data, thereby enabling more efficient use of manpower and enhancing the quality of professional care provided to patients. This capability has led many startups to focus on predictive modelling, utilizing AI to analyse large datasets and predict future medical developments. Healthcare organizations, faced with the need to manage multiple data inputs in their daily operations, are expected to benefit from further advancements in data integration and natural language processing. In Europe, AI is already being used to support patient care and clinical decision-making in both in-patient and administrative settings. For example, generative AI has improved the efficiency of nurses by allowing them to spend 20% more time directly caring for patients through the automation of regulatory tasks. Machine learning techniques offer significant potential in various fields within healthcare, including medical imaging analysis, predictive analysis, personalized treatment planning, and drug analysis, where they can revolutionize traditional medical practices. Additionally, the market is anticipated to grow due to the increasing demand for new technological products and the expansion of current players, as well as the emergence of new ones.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence in Healthcare Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Artificial Intelligence in Healthcare Market Segmental Analysis

The global market for artificial intelligence in healthcare is categorized based on several factors. Components include Hardware (such as processors like MPUs/CPUs, GPUs, FPGAs, ASICs, memory, and network components like adapters, switches, and interconnects), Software (including AI platforms with APIs and machine learning frameworks, and AI solutions available both on-premises and via cloud services), and Services (covering deployment & integration and support & maintenance). Technologies encompass Machine Learning (including deep learning, supervised learning, unsupervised learning, reinforcement learning, and others), Natural Language Processing (IVR, OCR, pattern and image recognition, auto coding, classification and categorization, text analytics, speech analytics), Context-aware Computing (device context, user context, physical context), and Computer Vision. Applications span various areas such as patient data & risk analysis, medical imaging & diagnostics, precision medicine, drug discovery, lifestyle management & remote patient monitoring, virtual assistants, wearables, in-patient care & hospital management, research, emergency room & surgery, mental health, healthcare assistance robots, cybersecurity, and others. End users include hospitals & healthcare providers, healthcare payers, pharmaceutical & biotechnology companies, patients, and others. The market is geographically segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.

Drivers of the Artificial Intelligence in Healthcare Market

The rise of AI/ML technology in healthcare is driven by the increasing shortage of healthcare professionals. Machine learning models are now being developed to analyze patterns in patient health data, aiding in diagnosis and guiding treatment decisions. Factors such as the Covid-19 pandemic, ongoing mergers and acquisitions, technological partnerships, and government support have significantly accelerated the integration and expansion of AI in healthcare. Initially intended to streamline disease diagnosis, AI/ML algorithms are now widely utilized for identifying Covid-19 positive patients by leveraging comprehensive and personalized patient data.

Restraints in the Artificial Intelligence in Healthcare Market

While AI presents substantial opportunities in healthcare delivery, a critical issue persists: the scarcity of high-quality, curated healthcare data. This limitation poses a significant threat to AI accuracy and consequently patient safety. Challenges in AI implementation include data fragmentation, privacy concerns, and high data acquisition costs, exacerbating the situation. For instance, in November 2023, the WHO issued guidelines addressing the regulatory specifics of AI applications in healthcare. These guidelines emphasize the necessity of robust legal frameworks for data privacy and security to enhance the reliability of AI applications, stressing the importance of collaboration and effectiveness.

Market Trends of the Artificial Intelligence in Healthcare Market

The increasing prevalence of chronic diseases, alongside significant product launches by industry leaders, is a key driver in the healthcare sector's adoption of AI. Our research indicates approximately 9-10 million global cancer deaths in 2023, with an estimated 1,958,310 new cancer cases reported that year. There is a clear emphasis on cancer, tracking various types for new case occurrences. Current statistics on cancer and other persistent illnesses underscore the critical need for precise diagnostic methods and effective treatments. Consequently, the market for AI-driven preventive strategies and early-stage disease detection in healthcare continues to expand rapidly.

Introduction

Objectives of the Study
Definitions
Market Scope

Research Methodology

Information Procurement
Secondary & Primary Data Sources
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Market Overview Outlook
Supply Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Dynamics
- Drivers
- Opportunities
- Restraints
- Challenges
Porters Analysis
- Competitive rivalry
- Threat of Substitute Products
- Bargaining Power of Buyers
- Threat of New Entrants
- Bargaining Power of Suppliers

Key Market Insights

Technology Analysis
Pricing Analysis
Value Chain Analysis
Patent Analysis
PESTEL Analysis
Case Study Analysis
- Microsoft partnered with Cleveland Clinic to utilize predictive and advanced analytics for identifying potential at-risk ICU patients.
- TGEN teamed up with Intel Corporation and Dell Technologies to aid physicians and researchers in accelerating diagnosis and treatment while reducing costs.
- Insilico developed machine learning-powered tools for drug identification and Chemistry42 for designing novel compounds.
- GE Healthcare enhanced patient outcomes by reducing workflow processing time using medical imaging data.
Customer & Buying Criteria Analysis
Trade Analysis
Ecosystem of the Market
Regulatory Landscape
Innovation Matrix
Top Investment Analysis
Key Success Factor
Degree of Competition

Artificial Intelligence in Healthcare Market by Component

Market Overview
Hardware
- Processor
  - MPUs/CPUs
  - GPUs
  - FPGAs
  - ASICs
- Memory
- Network
  - Adapter
  - Switch
  - Interconnect
Software
- AI Platform
  - Application Program Interface (API)
  - Machine learning Framework
- AI Solution
  - On-Premises
  - Cloud
- Services
  - Deployment & Integration
  - Support & Maintenance

Artificial Intelligence in Healthcare Market by Technology

Market Overview
Machine Learning
- Deep Learning
- Supervised
- Unsupervised
- Reinforcement Learning
- Others (Reinforcement Learning, Semi-supervised)
Natural Language Processing
- IVR
- OCR
- Pattern and Image Recognition
- Auto Coding
- Classification and Categorization
- Text Analytics
- Speech Analytics
Context-aware Computing
- Device Context
- User Context
- Physical Context
Computer Vision

Artificial Intelligence in Healthcare Market by Application

Market Overview
Robot-Assisted Sugery
Virtual Assistants
Fraud Detection
Patient Data & Risk Analysis
Medical Imaging & Diagnostics
Dosage Error Reduction
Drug Discovery
Healthcare Cybersecurity
Lifestyle Management & Remote Patient Monitoring
In-Patient Care & Hospital Management
Medical Data Security
Medical Risk Prediction
Others

Artificial Intelligence in Healthcare Market by End User

Market Overview
Hospitals & healthcare providers
Healthcare Payers
Pharmaceutical & Biotechnology Companies
Patients
Others (ACOs & MCOs)

Artificial Intelligence in Healthcare Market Size by Region

Market Overview
North America
- USA
- Canada
Europe
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
Asia Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America
- Brazil
- Rest of Latin America
Middle East & Africa (MEA)
- GCC Countries
- South Africa
- Rest of MEA

Competitive Landscape

Top 5 Player Comparison
Market Positioning of Key Players, 2023
Strategies Adopted by Key Market Players
Recent Activities in the Market
Key Companies Market Share (%), 2023

Key Company Profiles

Microsoft Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Alphabet Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
NVIDIA Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
General Vision, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Intel Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
IBM Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
MedicalValues GmbH
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
General Electric Company
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Subtle Medical, Inc
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Corti ApS
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Qure.ai
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Venn Biosciences Corp.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Koninklijke Philips N V.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Siemens Healthineers
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Lunit, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Biobeat
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Fuse-AI GmbH
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Sirona Medical, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Qventus, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Stryker
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments