Artificial Intelligence (AI) in Radiology Diagnostics Market Research Report –Segmentation by Component (Hardware, Software, Services); Application (Neurology, Oncology, Cardiology, Musculoskeletal, Chest, and respiratory, and others); End-User (Hospitals, Diagnostic Centers, Research and Academic Institutes, Others); and Region - Size, Share, Growth Analysis | Forecast (2024 – 2030)
Published: 2024 - January
Report Code: IM-14931
Format:
Region: Global
Chapter 1. ARTIFICIAL INTELLIGENCE IN RADIOLOGY DIAGNOSTICS MARKET – Scope & Methodology
1.1. Market Segmentation
1.2. Assumptions
1.3. Research Methodology
1.4. Primary Sources
1.5. Secondary Sources
Chapter 2. ARTIFICIAL INTELLIGENCE IN RADIOLOGY DIAGNOSTICS MARKET – Executive Summary
2.1. Market Size & Forecast – (2023 – 2030) ($M/$Bn)
2.2. Key Trends & Insights
2.3. COVID-19 Impact Analysis
2.3.1. Impact during 2023 – 2030
2.3.2. Impact on Supply – Demand
Chapter 3. ARTIFICIAL INTELLIGENCE IN RADIOLOGY DIAGNOSTICS MARKET – Competition Scenario
3.1. Market Share Analysis
3.2. Product Benchmarking
3.3. Competitive Strategy & Development Scenario
3.4. Competitive Pricing Analysis
3.5. Supplier - Distributor Analysis
Chapter 4. ARTIFICIAL INTELLIGENCE IN RADIOLOGY DIAGNOSTICS MARKET - Entry Scenario
4.1. Case Studies – Start-up/Thriving Companies
4.2. Regulatory Scenario - By Region
4.3 Customer Analysis
4.4. Porter's Five Force Model
4.4.1. Bargaining Power of Suppliers
4.4.2. Bargaining Powers of Customers
4.4.3. Threat of New Entrants
4.4.4. Rivalry among Existing Players
4.4.5. Threat of Substitutes
Chapter 5. ARTIFICIAL INTELLIGENCE IN RADIOLOGY DIAGNOSTICS MARKET - Landscape
5.1. Value Chain Analysis – Key Stakeholders Impact Analysis
5.2. Market Drivers
5.3. Market Restraints/Challenges
5.4. Market Opportunities
Chapter 6. ARTIFICIAL INTELLIGENCE IN RADIOLOGY DIAGNOSTICS MARKET – By Component
6.1 Hardware
6.2. Software
6.3.. Services
Chapter 7. ARTIFICIAL INTELLIGENCE IN RADIOLOGY DIAGNOSTICS MARKET – By Application
7.1 Neurology
7.2. Oncology
7.3. Cardiology
7.4. Musculoskeletal
7.5. Chest and respiratory
7.6. Others
Chapter 8. ARTIFICIAL INTELLIGENCE IN RADIOLOGY DIAGNOSTICS MARKET – By End User
8.1 Hospitals
8.2. Diagnostic Centers
8.3. Research and Academic Institutes
8.4. Others
Chapter 9. ARTIFICIAL INTELLIGENCE IN RADIOLOGY DIAGNOSTICS MARKET – By Region
9.1. North America
9.2. Europe
9.3.The Asia Pacific
9.4.Latin America
9.5. Middle-East and Africa
Chapter 10. ARTIFICIAL INTELLIGENCE IN RADIOLOGY DIAGNOSTICS MARKET– Company Profiles – (Overview, Product Portfolio, Financials, Developments)
10.1. Siemens Healthineers
10.2. Zebra Medical Vision, Inc.
10.3. Riverain Technologies
10.4. Vuno, Inc.
10.5. Aidoc
10.6. Neural Analytics
10.7. Imagen Technologies
10.8. Digital Diagnostics, Inc.
10.9. GE Healthcare
10.10. AliveCor Inc.
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Frequently Asked Questions
The Global Artificial Intelligence in Radiology Diagnostics Market was estimated to be worth USD 0.8 Billion in 2022 and is projected to reach a value of USD 4.65 Billion by 2030, growing at a fast CAGR of 24.60% during the forecast period 2023-2030.
The Global Artificial Intelligence in Radiology Diagnostics Market is primarily driven by the integration of big data, Reluctance among medical practitioners to adopt AI-based technologies.
The Segments under the Global Artificial Intelligence in Radiology Diagnostics Market by the application are Neurology, Oncology, Cardiology, Musculoskeletal, Chest, and respiratory, and others.
China, Japan, South Korea, Singapore, and India are the most dominating countries in the Asia Pacific region for the Global Artificial Intelligence in Radiology Diagnostics Market.
Siemens Healthineers, Zebra Medical Vision, Inc., Riverain Technologies are the three major leading players in the Global Artificial Intelligence in Radiology Diagnostics Market.
