AI-Assisted Radiology Market Report: Trends, Forecast and Competitive Analysis to 2030
Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
In-depth interviews of the major players in this market
Detailed secondary research from competitors’ financial statements and published data
Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.
In-depth interviews of the major players in this market
Detailed secondary research from competitors’ financial statements and published data
Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.
1. EXECUTIVE SUMMARY
2. GLOBAL AI-ASSISTED RADIOLOGY : MARKET DYNAMICS
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
3. MARKET TRENDS AND FORECAST ANALYSIS FROM 2018 TO 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global AI-Assisted Radiology Trends (2018-2023) and Forecast (2024-2030)
3.3: Global AI-Assisted Radiology by Type
3.3.1: X-Rays
3.3.2: Magnetic Resonance Imaging
3.3.3: Computed Tomography
3.3.4: Positron Emission Tomography
3.3.5: Ultrasound
3.3.6: Others
3.4: Global AI-Assisted Radiology by Application
3.4.1: Neurology
3.4.2: Mammography
3.4.3: Cardiovascular
3.4.4: Respiratory & Pulmonary
3.4.5: Orthopedics
3.4.6: Others
3.5: Global AI-Assisted Radiology by End Use
3.5.1: Hospitals
3.5.2: Diagnostic Imaging Centers
3.5.3: Others
4. MARKET TRENDS AND FORECAST ANALYSIS BY REGION FROM 2018 TO 2030
4.1: Global AI-Assisted Radiology by Region
4.2: North American AI-Assisted Radiology
4.2.2: North American AI-Assisted Radiology by End Use: Hospitals, Diagnostic Imaging Centers, and Others
4.3: European AI-Assisted Radiology
4.3.1: European AI-Assisted Radiology by Application: Neurology, Mammography, Cardiovascular, Respiratory & Pulmonary, Orthopedics, and Others
4.3.2: European AI-Assisted Radiology by End Use: Hospitals, Diagnostic Imaging Centers, and Others
4.4: APAC AI-Assisted Radiology
4.4.1: APAC AI-Assisted Radiology by Application: Neurology, Mammography, Cardiovascular, Respiratory & Pulmonary, Orthopedics, and Others
4.4.2: APAC AI-Assisted Radiology by End Use: Hospitals, Diagnostic Imaging Centers, and Others
4.5: ROW AI-Assisted Radiology
4.5.1: ROW AI-Assisted Radiology by Application: Neurology, Mammography, Cardiovascular, Respiratory & Pulmonary, Orthopedics, and Others
4.5.2: ROW AI-Assisted Radiology by End Use: Hospitals, Diagnostic Imaging Centers, and Others
5. COMPETITOR ANALYSIS
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. GROWTH OPPORTUNITIES AND STRATEGIC ANALYSIS
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global AI-Assisted Radiology by Type
6.1.2: Growth Opportunities for the Global AI-Assisted Radiology by Application
6.1.3: Growth Opportunities for the Global AI-Assisted Radiology by End Use
6.1.4: Growth Opportunities for the Global AI-Assisted Radiology by Region
6.2: Emerging Trends in the Global AI-Assisted Radiology
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global AI-Assisted Radiology
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI-Assisted Radiology
6.3.4: Certification and Licensing
7. COMPANY PROFILES OF LEADING PLAYERS
7.1: GE Healthcare
7.2: FUJIFILM
7.3: Aidoc
7.4: ClariPi
7.5: IBM
7.6: Koninklijke Philips
7.7: Siemens
7.8: Medtronic
7.9: Gleamer
7.10: Agfa-Gevaert
2. GLOBAL AI-ASSISTED RADIOLOGY : MARKET DYNAMICS
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
3. MARKET TRENDS AND FORECAST ANALYSIS FROM 2018 TO 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global AI-Assisted Radiology Trends (2018-2023) and Forecast (2024-2030)
3.3: Global AI-Assisted Radiology by Type
3.3.1: X-Rays
3.3.2: Magnetic Resonance Imaging
3.3.3: Computed Tomography
3.3.4: Positron Emission Tomography
3.3.5: Ultrasound
3.3.6: Others
3.4: Global AI-Assisted Radiology by Application
3.4.1: Neurology
3.4.2: Mammography
3.4.3: Cardiovascular
3.4.4: Respiratory & Pulmonary
3.4.5: Orthopedics
3.4.6: Others
3.5: Global AI-Assisted Radiology by End Use
3.5.1: Hospitals
3.5.2: Diagnostic Imaging Centers
3.5.3: Others
4. MARKET TRENDS AND FORECAST ANALYSIS BY REGION FROM 2018 TO 2030
4.1: Global AI-Assisted Radiology by Region
4.2: North American AI-Assisted Radiology
4.2.2: North American AI-Assisted Radiology by End Use: Hospitals, Diagnostic Imaging Centers, and Others
4.3: European AI-Assisted Radiology
4.3.1: European AI-Assisted Radiology by Application: Neurology, Mammography, Cardiovascular, Respiratory & Pulmonary, Orthopedics, and Others
4.3.2: European AI-Assisted Radiology by End Use: Hospitals, Diagnostic Imaging Centers, and Others
4.4: APAC AI-Assisted Radiology
4.4.1: APAC AI-Assisted Radiology by Application: Neurology, Mammography, Cardiovascular, Respiratory & Pulmonary, Orthopedics, and Others
4.4.2: APAC AI-Assisted Radiology by End Use: Hospitals, Diagnostic Imaging Centers, and Others
4.5: ROW AI-Assisted Radiology
4.5.1: ROW AI-Assisted Radiology by Application: Neurology, Mammography, Cardiovascular, Respiratory & Pulmonary, Orthopedics, and Others
4.5.2: ROW AI-Assisted Radiology by End Use: Hospitals, Diagnostic Imaging Centers, and Others
5. COMPETITOR ANALYSIS
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. GROWTH OPPORTUNITIES AND STRATEGIC ANALYSIS
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global AI-Assisted Radiology by Type
6.1.2: Growth Opportunities for the Global AI-Assisted Radiology by Application
6.1.3: Growth Opportunities for the Global AI-Assisted Radiology by End Use
6.1.4: Growth Opportunities for the Global AI-Assisted Radiology by Region
6.2: Emerging Trends in the Global AI-Assisted Radiology
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global AI-Assisted Radiology
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI-Assisted Radiology
6.3.4: Certification and Licensing
7. COMPANY PROFILES OF LEADING PLAYERS
7.1: GE Healthcare
7.2: FUJIFILM
7.3: Aidoc
7.4: ClariPi
7.5: IBM
7.6: Koninklijke Philips
7.7: Siemens
7.8: Medtronic
7.9: Gleamer
7.10: Agfa-Gevaert
