AI-Assisted Radiology Market Report: Trends, Forecast and Competitive Analysis to 2030

AI-Assisted Radiology Market Report: Trends, Forecast and Competitive Analysis to 2030


AI-Assisted Radiology Trends and Forecast

The future of the global AI-assisted radiology looks promising with opportunities in the hospitals and diagnostic imaging centers markets. The global AI-assisted radiology is expected to grow with a CAGR of 6.2% from 2024 to 2030. The major drivers for this market are growing emphasis on minimizing radiologists' workloads, government campaigns to promote the use of technology based on aluminum, and increasing private sector investment in Al-based startups.

A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.

AI-Assisted Radiology by Segment

The study includes a forecast for the global AI-assisted radiology by type, application, end use, and region.

AI-Assisted Radiology by Type [Shipment Analysis by Value from 2018 to 2030]:
  • X-Rays
  • Magnetic Resonance Imaging
  • Computed Tomography
  • Positron Emission Tomography
  • Ultrasound
  • Others
AI-Assisted Radiology by Application [Shipment Analysis by Value from 2018 to 2030]:
  • Neurology
  • Mammography
  • Cardiovascular
  • Respiratory & Pulmonary
  • Orthopedics
  • Others
AI-Assisted Radiology by End Use [Shipment Analysis by Value from 2018 to 2030]:
  • Hospitals
  • Diagnostic Imaging Centers
  • Others
AI-Assisted Radiology by Region [Shipment Analysis by Value from 2018 to 2030]:
  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World
List of AI-Assisted Radiology Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies AI-assisted radiology companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI-assisted radiology companies profiled in this report include-
  • GE Healthcare
  • Fujifilm
  • Aidoc
  • Claripi
  • IBM
  • Koninklijke Philips
  • Siemens
  • Medtronic
  • Gleamer
  • Agfa-Gevaert
AI-Assisted Radiology Market Insights

Lucintel forecasts that neurology is expected to witness highest growth over the forecast period due to greater utilization of ai in the field of neurology, leading to improved precision, enhanced patient care, and increased efficiency.

Within this market, hospital will remain the largest segment due to beneficial reimbursement policies make it the preferred choice for patients seeking treatment due to its convenience and the wide array of products available in a single location.

North America is expected to witness highest growth over the forecast period due to exceptionally advanced infrastructure and elevated per capita income.

Features of the Global AI-Assisted Radiology

Market Size Estimates: Ai-assisted radiology size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Ai-assisted radiology size by type, application, end use, and region in terms of value ($B).

Regional Analysis: Ai-assisted radiology breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different type, application, end use, and regions for the AI-assisted radiology.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI-assisted radiology.

Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

FAQ

Q1. What is the growth forecast for AI-assisted radiology?

Answer: The global AI-assisted radiology is expected to grow with a CAGR of 6.2% from 2024 to 2030.

Q2. What are the major drivers influencing the growth of the AI-assisted radiology?

Answer: The major drivers for this market are growing emphasis on minimizing radiologists' workloads, government campaigns to promote the use of technology based on aluminum, and increasing private sector investment in Al-based startups.

Q3. What are the major segments for AI-assisted radiology?

Answer: The future of the AI-assisted radiology looks promising with opportunities in the hospitals and diagnostic imaging centers markets.

Q4. Who are the key AI-assisted radiology companies?

Answer: Some of the key AI-assisted radiology companies are as follows:
  • GE Healthcare
  • Fujifilm
  • Aidoc
  • Claripi
  • IBM
  • Koninklijke Philips
  • Siemens
  • Medtronic
  • Gleamer
  • Agfa-Gevaert
Q5. Which AI-assisted radiology segment will be the largest in future?

Answer: Lucintel forecasts that neurology is expected to witness highest growth over the forecast period due to greater utilization of ai in the field of neurology, leading to improved precision, enhanced patient care, and increased efficiency.

Q6. In AI-assisted radiology, which region is expected to be the largest in next 5 years?

Answer: North America is expected to witness highest growth over the forecast period due to exceptionally advanced infrastructure and elevated per capita income.

Q7. Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the AI-assisted radiology by type (x-rays, magnetic resonance imaging, computed tomography, positron emission tomography, ultrasound, and others), application (neurology, mammography, cardiovascular, respiratory & pulmonary, orthopedics, and others), end use (hospitals, diagnostic imaging centers, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?

Q.2. Which segments will grow at a faster pace and why?

Q.3. Which region will grow at a faster pace and why?

Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?

Q.5. What are the business risks and competitive threats in this market?

Q.6. What are the emerging trends in this market and the reasons behind them?

Q.7. What are some of the changing demands of customers in the market?

Q.8. What are the new developments in the market? Which companies are leading these developments?

Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?

Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?

Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Please note: It will take 3 business days to deliver the report upon receipt the order.


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

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