Asia Pacific Ai In Medical Imaging Market Size & Outlook
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Asia Pacific ai in medical imaging market highlights
- The Asia Pacific ai in medical imaging market generated a revenue of USD 142.9 million in 2022.
- The market is expected to grow at a CAGR of 37.2% from 2023 to 2030.
- In terms of segment, deep learning was the largest revenue generating technology in 2022.
- Natural Language Processing (NLP) is the most lucrative technology segment registering the fastest growth during the forecast period.
- Country-wise, China is expected to register the highest CAGR from 2023 to 2030.
Asia Pacific data book summary
| Market revenue in 2022 | USD 142.9 million |
| Market revenue in 2030 | USD 1,795.9 million |
| Growth rate | 37.2% (CAGR from 2022 to 2030) |
| Largest segment | Deep learning |
| Fastest growing segment | Natural Language Processing (NLP) |
| Historical data covered | 2018 - 2021 |
| Base year for estimation | 2022 |
| Forecast period covered | 2023 - 2030 |
| Quantitative units | Revenue in USD million |
| Market segmentation | Deep Learning, Natural Language Processing (NLP) |
| Key market players worldwide | Siemens Healthineers AG ADR, GE Aerospace, Koninklijke Philips NV, International Business Machines Corp, Agfa-Gevaert NV, Arterys, GE HealthCare Technologies Inc Common Stock, Butterfly Network Inc Ordinary Shares - Class A, AZmed, Gleamer |
Other key industry trends
- In terms of revenue, Asia Pacific region accounted for 19.0% of the global ai in medical imaging market in 2022.
- Globally, North America is projected to lead the regional market in terms of revenue in 2030.
- Asia Pacific is the fastest growing regional market and is projected to reach USD 1,795.9 million by 2030.
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AI In Medical Imaging Market Scope
AI In Medical Imaging Market Companies
| Name | Profile | # Employees | HQ | Website |
|---|
Asia Pacific ai in medical imaging market outlook
The databook is designed to serve as a comprehensive guide to navigating this sector. The databook focuses on market statistics denoted in the form of revenue and y-o-y growth and CAGR across the globe and regions. A detailed competitive and opportunity analyses related to ai in medical imaging market will help companies and investors design strategic landscapes.
Deep learning was the largest segment with a revenue share of 58.29% in 2022. Horizon Databook has segmented the Asia Pacific ai in medical imaging market based on deep learning, natural language processing (nlp) covering the revenue growth of each sub-segment from 2018 to 2030.
- Asia Pacific AI In Medical Imaging Technology Outlook (Revenue, USD Million, 2018-2030)
- Deep Learning
- Natural Language Processing (NLP)
- Others
- Asia Pacific AI In Medical Imaging Application Outlook (Revenue, USD Million, 2018-2030)
- Neurology
- Respiratory and Pulmonary
- Cardiology
- Breast Screening
- Orthopedics
- Others
- Asia Pacific AI In Medical Imaging Modalities Outlook (Revenue, USD Million, 2018-2030)
- CT Scan
- MRI
- X-rays
- Ultrasound
- Nuclear Imaging
- Asia Pacific AI In Medical Imaging End Use Outlook (Revenue, USD Million, 2018-2030)
- Hospitals
- Diagnostic Imaging Centers
- Others
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Our clientele includes a mix of ai in medical imaging market companies, investment firms, advisory firms & academic institutions.
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30% of our revenue is generated working with investment firms and helping them identify viable opportunity areas.
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Approximately 65% of our revenue is generated working with competitive intelligence & market intelligence teams of market participants (manufacturers, service providers, etc.).
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Horizon Databook provides a detailed overview of continent-level data and insights on the Asia Pacific ai in medical imaging market , including forecasts for subscribers. This continent databook contains high-level insights into Asia Pacific ai in medical imaging market from 2018 to 2030, including revenue numbers, major trends, and company profiles.
Partial client list
Asia Pacific ai in medical imaging market size, by country, 2018-2030 (US$M)
Asia Pacific AI In Medical Imaging Market Outlook Share, 2022 & 2030 (US$M)
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