The report on the global Artificial Intelligence (AI) in radiology market provides qualitative and quantitative analysis for the period from 2021-2030. The global Artificial Intelligence (AI) in radiology market was valued at USD 1.03 billion in 2022 and is expected to reach USD 14.82 billion in 2030, with a CAGR of 34.58% during the forecast period 2023-2030. The study on Artificial Intelligence (AI) in radiology market covers the analysis of the leading geographies such as North America, Europe, Asia Pacific, and RoW for the period of 2021-2030.
The report on Artificial Intelligence (AI) in radiology market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global Artificial Intelligence (AI) in radiology market over the period of 2021-2030. Moreover, the report is a collective presentation of primary and secondary research findings.
Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global Artificial Intelligence (AI) in radiology market over the period of 2021-2030. Further, Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.
1. Key Opinion Leaders
2. Internal and External subject matter experts
3. Professionals and participants from the industry
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies
2. Complete coverage of all the segments in the Artificial Intelligence (AI) in radiology market to analyze the trends, developments in the global market and forecast of market size up to 2030.
3. Comprehensive analysis of the companies operating in the global Artificial Intelligence (AI) in radiology market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.
The report on Artificial Intelligence (AI) in radiology market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global Artificial Intelligence (AI) in radiology market over the period of 2021-2030. Moreover, the report is a collective presentation of primary and secondary research findings.
Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global Artificial Intelligence (AI) in radiology market over the period of 2021-2030. Further, Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.
Report Findings
1) Drivers
- The adoption of Artificial Intelligence (AI) in radiology is driven by the improvement in diagnostic accuracy and efficiency.
- The growth of the market is propelled by the optimization of workflows and increased productivity.
2) Restraints
- Navigating complex regulatory frameworks can be a major restraint to the market.
3) Opportunities
- The growing need of remote patient monitoring and telemedicine presents significant opportunities for market growth.
Research Methodology
A) Primary Research
The primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include1. Key Opinion Leaders
2. Internal and External subject matter experts
3. Professionals and participants from the industry
The primary research respondents typically include
1. Executives working with leading companies in the market under review2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. Each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.The secondary sources of the data typically include
1. Company reports and publications2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies
Segment Covered
The global Artificial Intelligence (AI) in radiology market is segmented on the basis of technique, application, and radiology type.The Global Artificial Intelligence (AI) in Radiology Market by Technique
- CT
- X- ray
- MRI
- Ultrasound
- PET
The Global Artificial Intelligence (AI) in Radiology Market by Application
- Computer-aided Diagnosis
- Clinical Decision Support
- Quantitative Analysis Tools
- Computer-aided Detection
The Global Artificial Intelligence (AI) in Radiology Market by Radiology Type
- Mammography
- Chest Imaging
- Neurology
- Colonography
- Cardiovascular
- Head CT Scan
- Others
Company Profiles
The companies covered in the report include- Gleamer
- Microsoft (U.S.)
- NVIDIA Corporation
- Intel Corporation
- Siemens Healthineers
- GE HealthCare (U.S.)
- Digital Diagnostics Inc.
- icometrix
- Enlitic, Inc.
What does this Report Deliver?
1. Comprehensive analysis of the global as well as regional markets of the Artificial Intelligence (AI) in radiology market.2. Complete coverage of all the segments in the Artificial Intelligence (AI) in radiology market to analyze the trends, developments in the global market and forecast of market size up to 2030.
3. Comprehensive analysis of the companies operating in the global Artificial Intelligence (AI) in radiology market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.
Table of Contents
Chapter 1. Preface
Chapter 2. Executive Summary
Chapter 3. Global Artificial Intelligence (AI) in Radiology Market Overview
Chapter 5. Company Profiles and Competitive Landscape
Chapter 6. Global Artificial Intelligence (AI) in Radiology Market by Technique
Chapter 7. Global Artificial Intelligence (AI) in Radiology Market by Application
Chapter 8. Global Artificial Intelligence (AI) in Radiology Market by Radiology Type
Chapter 9. Global Artificial Intelligence (AI) in Radiology Market by Region 2023-2030
