Subscription Model
Type of Services
Application
End-User
By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Radiology Apps Market Snapshot
Chapter 4. Global Radiology Apps Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: By Subscription Model Estimates & Trend Analysis
5.1. By Subscription Model & Market Share, 2023 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Subscription Model:
5.2.1. Free Subscription
5.2.2. Paid Subscription
Chapter 6. Market Segmentation 2: By Type of Services Estimates & Trend Analysis
6.1. By Type of Services & Market Share, 2023 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Type of Services:
6.2.1. Primary Packaging
6.2.2. Single-Use
6.2.3. Multi-Use
Chapter 7. Market Segmentation 3: By Application Estimates & Trend Analysis
7.1. By Application & Market Share, 2023 & 2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Application:
7.2.1. Diagnostic Imaging Management
7.2.2. Radiation Management
7.2.3. Educational Purpose
Chapter 8. Market Segmentation 4: By End-user Estimates & Trend Analysis
8.1. By End-user & Market Share, 2023 & 2031
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following By End-user:
8.2.1. Hospitals & Radiology Clinics
8.2.2. Research Institutes & Medical Schools
Chapter 9. Radiology Apps Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. North America
9.1.1. North America Radiology Apps Market revenue (US$ Million) estimates and forecasts By Subscription Model, 2024-2031
9.1.2. North America Radiology Apps Market revenue (US$ Million) estimates and forecasts By Type of Services, 2024-2031
9.1.3. North America Radiology Apps Market revenue (US$ Million) estimates and forecasts by Application, 2024-2031
9.1.4. North America Radiology Apps Market revenue (US$ Million) estimates and forecasts by End-user, 2024-2031
9.1.5. North America Radiology Apps Market revenue (US$ Million) estimates and forecasts by country, 2024-2031
9.2. Europe
9.2.1. Europe Radiology Apps Market revenue (US$ Million) By Subscription Model, 2024-2031
9.2.2. Europe Radiology Apps Market revenue (US$ Million) By Type of Services, 2024-2031
9.2.3. Europe Radiology Apps Market revenue (US$ Million) estimates and forecasts by Application, 2024-2031
9.2.4. Europe Radiology Apps Market revenue (US$ Million) estimates and forecasts by End-user, 2024-2031
9.2.5. Europe Radiology Apps Market revenue (US$ Million) estimates and forecasts by country, 2024-2031
9.3. Asia Pacific
9.3.1. Asia Pacific Radiology Apps Market revenue (US$ Million) By Subscription Model, 2024-2031
9.3.2. Asia Pacific Radiology Apps Market revenue (US$ Million) By Type of Services, 2024-2031
9.3.3. Asia Pacific Radiology Apps Market revenue (US$ Million) estimates and forecasts by Application, 2024-2031
9.3.4. Asia Pacific Radiology Apps Market revenue (US$ Million) estimates and forecasts by End-user, 2024-2031
9.3.5. Asia Pacific Radiology Apps Market revenue (US$ Million) estimates and forecasts by country, 2024-2031
9.4. Latin America
9.4.1. Latin America Radiology Apps Market revenue (US$ Million) By Subscription Model, 2024-2031
9.4.2. Latin America Radiology Apps Market revenue (US$ Million) By Type of Services, 2024-2031
9.4.3. Latin America Radiology Apps Market revenue (US$ Million) estimates and forecasts by Application, 2024-2031
9.4.4. Latin America Radiology Apps Market revenue (US$ Million) estimates and forecasts by End-user, 2024-2031
9.4.5. Latin America Radiology Apps Market revenue (US$ Million) estimates and forecasts by country, 2024-2031
9.5. Middle East & Africa
9.5.1. Middle East & Africa Radiology Apps Market revenue (US$ Million) By Subscription Model, 2024-2031
9.5.2. Middle East & Africa Radiology Apps Market revenue (US$ Million) By Type of Services, 2024-2031
9.5.3. Middle East & Africa Radiology Apps Market revenue (US$ Million) estimates and forecasts by Application, 2024-2031
9.5.4. Middle East & Africa Radiology Apps Market revenue (US$ Million) estimates and forecasts by End-user, 2024-2031
9.5.5. Middle East & Africa Radiology Apps Market revenue (US$ Million) estimates and forecasts by country, 2024-2031
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Mobile MIM
10.2.2. Radiology Rounds
10.2.3. Radiology ToolBox Pro
10.2.4. RadLogics
10.2.5. Nuance PowerShare
10.2.6. LifeIMAGE Mobile
10.2.7. Radiology Assistant 2.0
10.2.8. Ositrix HD
10.2.9. Doximity
10.2.10. Epocrates
10.2.11. GoodReader
10.2.12. Papers
10.2.13. Radiopedia
10.2.14. RadiDoc
10.2.15. Mobile REMM
10.2.16. Brain MRI Atlas
10.2.17. MIRC Viewer
10.2.18. Surgical Radiology
10.2.19. iSurf Brain View
10.2.20. Trello
10.2.21. Novarada
10.2.22. Other Prominent Players
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.