PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1536026
PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1536026
Artificial Intelligence in Healthcare Market - By Offering, Application - Global Forecast 2024-2032
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.
Table of Contents
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
- 3.2.1 Growth drivers
- 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
Chapter 8 Company Profiles
- 8.1 Aidoc
- 8.2 AiCure
- 8.3 APIXIO, Inc.
- 8.4 Atomwise, Inc.
- 8.5 Butterfly Network
- 8.6 Dassault Systemes (Medidata)
- 8.7 Enlitic Inc.
- 8.8 Koninklijke Philips N.V.
- 8.9 IBM Corporation
- 8.10 iCarbonX
- 8.11 Insilico Medicine Inc
- 8.12 Itrex Group
- 8.13 IQVIA
- 8.14 NVIDIA Corporation
- 8.15 Sophia Genetics
