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.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
The publisher 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
Answer: The publisher 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,the publisher 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?
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Table of Contents
1. Executive Summary
2. Global AI-Assisted Radiology: Market Dynamics
3. Market Trends and Forecast Analysis from 2018 to 2030
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
5. Competitor Analysis
6. Growth Opportunities and Strategic Analysis
7. Company Profiles of Leading Players
Companies Mentioned
- GE Healthcare
- Fujifilm
- Aidoc
- Claripi
- IBM
- Koninklijke Philips
- Siemens
Methodology
The analyst has been in the business of market research and management consulting since 2000 and has published over 600 market intelligence reports in various markets/applications and served over 1,000 clients worldwide. Each study is a culmination of four months of full-time effort performed by the 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 the 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 professionals, who have analyzed and tracked the market over the years.
Extensive research and interviews are conducted in the supply chain of the market to estimate market share, market size, trends, drivers, challenges and forecasts.
Thus, the analyst compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. The analyst then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process.
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