Global AI-Assisted Radiology Market Overview:
AI-assisted radiology refers to the application of artificial intelligence (AI) technology in the field of radiology, which includes the use of medical imaging techniques such as X-rays, CT (computed tomography), MRI (magnetic resonance imaging), and ultrasound for diagnosis and treatment of diseases. AI in radiology typically involves machine learning algorithms trained on large amounts of image data to perform tasks such as image interpretation, anomaly detection, and clinical decision support. AI-assisted radiology represents a rapidly evolving field with significant potential to transform healthcare by improving diagnostic accuracy, operational efficiency and ultimately patient outcomes. As AI technologies develop and become accepted, their impact on radiology and the broader healthcare system will increase significantly. The growth of the AI-assisted radiology market is driven by advances in AI technology, increasing healthcare demands, legislative support, cost-effectiveness and opportunities to improve patient care. As these factors continue to evolve, AI-assisted radiology will play an increasingly important role in transforming radiology practice and healthcare around the world.
Attributes | Details |
---|
Study Period | 2018-2030 |
Base Year | 2023 |
Forecast Period | 2024-2030 |
Historical Period | 2018-2023 |
Unit | Value (USD Million) |
Customization Scope | Avail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility |
Influencing Trend:
Advancement in AI-Algorithm
Market Growth Drivers:
Rising number of AI-powered medical imaging start- ups and Increasing demand of Medical Imaging
Challenges:
Data Limitations
Restraints:
Regulatory and Ethical Concerns
Opportunities:
Increasing investment in AI-Assisted Radiology and AI technologies facilitate telemedicine and remote diagnostics
Competitive Landscape:
The market is highly competitive with the active presence of dominant players. The global market is highly competitive and consists of a limited number of providers who compete with each other. The intense competition, changing consumer spending patterns, demographic trends, and frequent changes in consumer preferences pose significant opportunities for market growth.
Some of the key players profiled in the report are GE HealthCare (United States), FUJIFILM (Japan), Aidoc (Israel), ClariPi Inc. (United States), IBM (United States), Siemens Healthineers AG (Germany), Koninklijke Philips N.V. (Netherland), Medtronic (Ireland), Gleamer (France) and iCAD, Inc. (United States). Additionally, following companies can also be profiled that are part of our coverage like NVIDIA (United States), ZEBRA (Israel), Butterfly Networks (United States), Agfa-Gevaert Group (Belgium) and ContextVision AB (Sweden). Analyst at AMA Research see Global Players to retain maximum share of Global AI-Assisted Radiology market by 2030. Considering Market by Techniques, the sub-segment i.e. Ultrasound (US) will boost the AI-Assisted Radiology market. Considering Market by End-User, the sub-segment i.e. Hospital & Healthcare Provider will boost the AI-Assisted Radiology market.
Latest Market Insights:
In June 2024, Quer ai. Partnered with strategic radiology for AI-Power imaging. The partnership is an exciting opportunity for our members to get closer to innovative AI tools from Qure.ai for early identification of lung nodules, triage of emergency head CTs, and streamlined chest X-ray reporting
In November 2023, Philips launches new-AI enabled innovations at RSNA23 that free up healthcare providers to focus on patient care. Radiologists are looking for solutions to improve the performance of their departments and help patients with optimized workflows, shorter procedure times and user-friendly operations.
What Can be Explored with the AI-Assisted Radiology Market Study
Gain Market Understanding
Identify Growth Opportunities
Analyze and Measure the Global AI-Assisted Radiology Market by Identifying Investment across various Industry Verticals
Understand the Trends that will drive Future Changes in AI-Assisted Radiology
Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals
Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global AI-Assisted Radiology market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in AI-Assisted Radiology market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Market Research and Consulting Firm, Government & Regulatory Bodies, Potential Investors, Research & Development and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.