
Artificial Intelligence (AI) in Diagnostics Market - Forecasts from 2024 to 2029
Description
Artificial Intelligence (AI) in Diagnostics Market - Forecasts from 2024 to 2029
The AI in diagnostics market is expected to grow at a CAGR of 33.47%, reaching a market size of US$7.268 billion in 2029 from US$1.716 billion in 2024.
The use of Artificial Intelligence (AI) in the diagnostics market has transformed medical diagnosis and therapy. AI algorithms and machine learning approaches have shown impressive skills in analyzing massive volumes of medical data and producing significant insights for accurate and efficient diagnosis. Artificial intelligence-driven diagnosis is promoting significant development in the medical sector, from radiology and pathology to cardiology and cancer diagnosis. With the enhanced skills of practitioners using AI-enabled technologies, diagnostic accuracies increase, saving valuable time.
In addition, these AI systems can learn from real-world data and improve over time, therefore proving to be very good companions for healthcare practitioners. The AI in diagnostics market growth has enormous promise for revolutionizing healthcare delivery by offering faster, more accurate diagnoses, improving patient outcomes, and saving lives.
Advancements in Machine Learning and Deep Learning Algorithms enhanced the AI in Diagnostics Market Growth.
Machine learning and deep learning algorithms have significantly contributed to the expansion of AI in the diagnostics business. These algorithms have shown an extraordinary ability to handle and analyze massive volumes of medical data, allowing for precise and rapid diagnosis. According to a report published by WHO, a deep learning system detected skin cancer with an accuracy of 94.5%, outperforming human dermatologists. Furthermore, according to a study published in the Journal of the American Medical Association, an AI system properly recognized breast cancer in mammograms with a sensitivity of 94.5%. These developments demonstrate the power of machine learning and deep learning algorithms in improving diagnostic accuracy and patient outcomes.
AI in the Diagnostics Market Geographical Outlook
North America is the Market Leader in the AI Diagnostics Market.
North America holds a significant share of the AI Diagnostics market. This can be linked to factors such as a strong healthcare infrastructure, new technologies, and a favorable regulatory environment. Several significant players in the AI business, including prominent healthcare facilities and research organizations, are located in the region. Furthermore, North America has seen major expenditures in AI research and development, which has fueled the expansion of AI in the diagnostics market. North America continues to employ AI for diagnostic purposes, thanks to an emphasis on innovation and technical developments.
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Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
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Report Coverage:
Historical data & forecasts from 2022 to 2029
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)
AI in the Diagnostics market is segmented and analyzed as given below:
By Component
Software
Hardware
By Diagnostic Type
Radiology
Pathology
Cardiology
Oncology
Neurology
Others
By Application
Disease Detection
Image Analysis
Risk Assessment
Predictive Analysis
Others
By End-User
Hospitals And Clinics
Diagnostic Laboratories
Research Institutions
Others
By Geography
North America
United States
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
United Kingdom
Germany
France
Italy
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Others
Asia Pacific
Japan
China
India
South Korea
Indonesia
Taiwan
Others
Table of Contents
146 Pages
- 1. INTRODUCTION
- 1.1. MARKET OVERVIEW
- 1.2. Market Definition
- 1.3. Scope of the Study
- 1.4. Market Segmentation
- 1.5. Currency
- 1.6. Assumptions
- 1.7. Base, and Forecast Years Timeline
- 2. RESEARCH METHODOLOGY
- 2.1. Research Data
- 2.2. Sources
- 2.3. Research Design
- 3. EXECUTIVE SUMMARY
- 3.1. Research Highlights
- 4. MARKET DYNAMICS
- 4.1. Market Drivers
- 4.2. Market Restraints
- 4.3. Porters Five Forces Analysis
- 4.3.1. Bargaining Power of Suppliers
- 4.3.2. Bargaining Power of Buyers
- 4.3.3. Threat of New Entrants
- 4.3.4. Threat of Substitutes
- 4.3.5. Competitive Rivalry in the Industry
- 4.4. Industry Value Chain Analysis
- 5. AI IN DIAGNOSTICS MARKET, BY COMPONENT
- 5.1. Introduction
- 5.2. SOFTWARE
- 5.3. HARDWARE
- 6. AI IN DIAGNOSTICS MARKET, BY DIAGNOSTIC TYPE
- 6.1. Introduction
- 6.2. Radiology
- 6.3. Pathology
- 6.4. Cardiology
- 6.5. Oncology
- 6.6. Neurology
- 6.7. Others
- 7. AI IN DIAGNOSTICS MARKET, BY APPLICATION
- 7.1. Introduction
- 7.2. Disease Detection
- 7.3. Image Analysis
- 7.4. Risk Assessment
- 7.5. Predictive Analysis
- 7.6. Others
- 8. AI IN DIAGNOSTICS MARKET, BY END-USER
- 8.1. Introduction
- 8.2. Hospitals and Clinics
- 8.3. Diagnostic Laboratories
- 8.4. Research Institutions
- 8.5. Others
- 9. AI IN DIAGNOSTICS MARKET, BY GEOGRAPHY
- 9.1. Introduction
- 9.2. North America
- 9.2.1. United States
- 9.2.2. Canada
- 9.2.3. Mexico
- 9.3. South America
- 9.3.1. Brazil
- 9.3.2. Argentina
- 9.3.3. Others
- 9.4. Europe
- 9.4.1. United Kingdom
- 9.4.2. Germany
- 9.4.3. France
- 9.4.4. Italy
- 9.4.5. Spain
- 9.4.6. Others
- 9.5. Middle East and Africa
- 9.5.1. Saudi Arabia
- 9.5.2. UAE
- 9.5.3. Others
- 9.6. Asia Pacific
- 9.6.1. Japan
- 9.6.2. China
- 9.6.3. India
- 9.6.4. South Korea
- 9.6.5. Indonesia
- 9.6.6. Taiwan
- 9.6.7. Others
- 10. COMPETITIVE ENVIRONMENT AND ANALYSIS
- 10.1. Major Players and Strategy Analysis
- 10.2. Emerging Players and Market Lucrativeness
- 10.3. Mergers, Acquisitions, Agreements, and Collaborations
- 10.4. Vendor Competitiveness Matrix
- 11. COMPANY PROFILES
- 11.1. IBM CORPORATION
- 11.2. GENERAL ELECTRIC (GE) COMPANY
- 11.3. SIEMENS HEALTHINEERS AG
- 11.4. AIDOC MEDICAL LTD.
- 11.5. ZEBRA MEDICAL VISION LTD.
- 11.6. BUTTERFLY NETWORK, INC.
- 11.7. VIZ.AI, INC.
- 11.8. IMAGEN TECHNOLOGIES, INC.
- 11.9. ALIVECOR, INC.
- 11.10. PATHAI, INC.
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