首頁 > 市場調查報告書 > 醫療設備

e保健體外診斷藥物開發人工智能人工智能藥物研發診斷用人工智能

市場調查報告書

商品編碼

1498608

醫療保健領域的人工智慧市場規模、佔有率、成長分析，按組件、按技術、按應用、按最終用戶、按地區 - 行業預測，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個工作天內

價格

簡介目錄

2022年人工智慧醫療保健市場規模將為140.9億美元，預測期間（2024-2031年）複合年成長率為38.2%，從2023年的194.8億美元增至2031年的2591.1億美元，預計還會成長。

推動人工智慧在醫療保健領域發展的主要好處包括顯著減少錯誤以及為醫務人員提供強力的支援。人工智慧技術的進步為醫療保健組織提供了 24/7 持續提供病患服務的機會。人工智慧是一個多功能平台，可用於所有部門，實現醫療診斷、影像分析、治療計劃以及 X 光和掃描等程序等功能。它還簡化了業務流程，從回答聊天支援會話中的問題到分析人口健康資料，從而更有效地利用人力並提高為患者提供的專業護理的品質。這種能力使得許多新興企業專注於預測建模，利用人工智慧分析大型資料集並預測未來的醫療保健趨勢。在日常業務中需要管理多個資料輸入的醫療保健組織預計將受益於資料整合和自然語言處理的進一步進步。在歐洲，人工智慧已經被用於支援患者照護和臨床決策，無論是在患者還是在管理方面。例如，生成式人工智慧透過監管業務的自動化，讓護理師可以將直接照護患者的時間增加 20%，從而提高護理人員效率。機器學習技術在醫療保健的各個領域提供了巨大的潛力，包括醫學影像分析、預測分析、個人化治療計劃和藥物分析，有可能徹底改變傳統的醫療實踐。此外，由於對新技術產品的需求不斷增加、現有參與者的擴張以及新參與者的出現，市場預計將成長。

技術分析
價格分析
價值鏈分析
專利分析
PESTEL分析
案例研究分析
- Microsoft 與克利夫蘭診所合作，利用預測和進階分析來識別潛在風險的 ICU 患者。
- TGEN 與英特爾公司和戴爾技術公司合作，幫助醫生和研究人員加快診斷和治療速度，同時降低成本。
- Insilico 開發了用於藥物識別的機器學習工具和用於設計新型化合物的 Chemistry42。
- GE Healthcare 透過使用醫學影像資料減少工作流程中的處理時間來改善病患治療結果。
客戶和購買標準分析
貿易分析
市場生態系統
監管環境
創新矩陣
主要投資分析
關鍵成功因素
競爭程度

醫療保健領域的人工智慧市場：按組成部分

市場概況
硬體
- 處理器
  - MPU/CPU
  - GPU
  - FPGA
  - ASIC
- 記憶
- 通訊網路
  - 適配器
  - 轉變
  - 互連
軟體
- 人工智慧平台
  - 應用程式介面 (API)
  - 機器學習框架
- 人工智慧解決方案
  - 本地
  - 雲
- 服務
  - 部署與整合
  - 支援與維護

醫療保健領域的人工智慧市場：按技術分類

市場概況
機器學習
- 深度學習
- 監督的
- 無監督
- 強化學習
- 其他（強化學習、半監督式學習）
自然語言處理
- 虛擬實境
- OCCR
- 圖案和圖像識別
- 自動編碼
- 分類與分類
- 文字分析
- 語音分析
上下文感知計算
- 設備情境
- 使用者情境
- 物理環境
電腦視覺

醫療保健領域的人工智慧市場：按應用分類

市場概況
機器人輔助手術
虛擬助理
詐欺識別
患者資料和風險分析
醫學影像診斷
減少用藥錯誤
藥物發現
醫療保健網路安全
生活方式管理和遠端患者監護
住院護理和醫院管理
醫療資料安全
醫療風險預測
其他

醫療保健領域的人工智慧市場：按最終用戶分類

市場概況
醫院和醫療保健提供者
醫療保健付款人
製藥和生物技術公司
病人
其他（ACO 和 MCO）

醫療保健領域的人工智慧市場：按地區分類的規模

市場概況
北美洲
- 美國
- 加拿大
歐洲
- 德國
- 西班牙
- 法國
- 英國
- 義大利
- 其他歐洲國家地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
拉丁美洲
- 巴西
- 其他拉丁美洲地區
中東和非洲 (MEA)
- 海灣合作理事會國家
- 南非
- 其他中東/非洲地區

競爭格局

前5名企業對比
主要企業市場定位（2023年）
主要市場參與者所採取的策略
近期市集活動
主要企業市場佔有率（2023年）

主要企業簡介

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

簡介目錄

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