According to a recent report published by Fact.MR, the global AI in medical diagnostics market is projected to reach USD 3,868 million by 2025 from USD 505 million in 2020, at a CAGR of 50.2% during the forecast period. The goal of the AI In Diagnostic Imaging Market survey is uncover growth opportunities, key trends, growth drivers, and challenges. It also provides recommendations to assist businesses in preparing for unforeseen challenges.
Demand for advanced technology for early diagnostic and imaging procedures is a major driving factor of the AI In diagnostic imaging market. Growth in this market is primarily driven by government initiatives to increase the adoption of AI-based technologies, increasing demand for AI tools in the medical field, growing focus on reducing the workload of radiologists, influx of large and complex datasets, growth in funding for AI-based start-ups, and the growing number of cross-industry partnerships and collaborations.
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The competitive outlook chapter throws light on the business prospects of prominent players operating in the AI In Diagnostic Imaging Market. The product pricing strategies, preferred marketing channels, product portfolio of prominent players, and market presence of each company is included in the report.
AI In Diagnostic Imaging Market: Key Market Participants
Example of some market players participants in global AI in diagnostic imaging market identify across the value chain are
- Canon Inc.,
- GE Healthcare,
- Siemens Healthineers,
- DeepMind Technologies,
- Subtle Medical Inc.,
- Samsung Healthcare,
- Butterfly Network Inc.,
- Koninklijke Philips N.V. and others.
AI In Diagnostic Imaging Market: Segmentation
On the basis of product type, AI in Diagnostic Imaging market can be segmented as:
- AI-powered Ultrasound Scanners
- AI-powered CT Scanners
- AI-powered MRI Systems
- AI-powered Optical Coherence Tomography Devices
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On the basis of end user, AI in Diagnostic Imaging market can be segmented as:
- Ambulatory Surgical Centres
- Diagnostic Centres
Critical insights enclosed in the report:
- Accurate representation of the projected growth of the global AI in medical diagnostics Market during the forecast period
- Analysis of the distribution channels and promotional strategies adopted by market players in the AI in medical diagnostics Market
- Assessment of the global presence of various players in the AI in medical diagnostics Market
- An in-depth study of the supply-demand trends in different regions
- Manufacturing/production capabilities of various players operating in the AI in medical diagnostics Market
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Frequently Asked Questions (FAQ):
- What is the market size of the AI in medical diagnostics Market?
The global AI in medical diagnostics market is projected to reach USD 3,868.01 million by 2025 from USD 505.24 million in 2020, at a CAGR of 50.2% during the forecast period.
- What are some of the major drivers for this market?
AI in diagnostic imaging expected to grow with double-digit growth rate over the forecast period. AI in diagnostic imaging is achieving strong growth as the capability to detect cancer at an early stage and track tumor development.
- Who are the major players in the AI in medical diagnostics market?
Some market players participants in global AI in diagnostic imaging market identify across the value chain are Canon Inc., GE Healthcare, Siemens Healthineers, DeepMind Technologies, Subtle Medical Inc., Samsung Healthcare, Butterfly Network Inc., Koninklijke Philips N.V. and others.
- What is the impact of COVID-19 on the AI in medical diagnostics market?
Due to the COVID-19 outbreak, medical practices of all sizes are under immense pressure, and healthcare facilities across the globe have been overwhelmed by the large number of patients visiting them on a daily basis.
- Which region has the highest growth potential in the AI in medical diagnostics market?
North America is the most dominating market for AI in diagnostic imaging market due to the increasing demand for artificial intelligence in the U.S. healthcare market and a large number of players in the region.
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