Towards Healthcare
AI Imaging Device Market Trends and Companies

AI Imaging Device Market Shifts Toward Smart Cloud Systems

The AI imaging device market is growing as these devices enhance diagnostic precision and effectiveness, early detection of disease, enhanced workflow for healthcare staff, and more targeted patient care. North America dominated the market as a robust ecosystem of novelty and significant investment in healthcare.

Content

  • Last Updated: 28 October 2025
  • Report Covered: [Revenue + Volume]
  • Historical Year: 2021-2023
  • Base Year: 2024
  • Estimated Years: 2025-2034

About The Author

Shivani Zoting is a dedicated research analyst specializing in the healthcare industry. With a strong academic foundation, a B.Sc. in Biotechnology and an MBA in Pharmabiotechnology, she brings a unique blend of scientific understanding and market strategy to her research.

Shivani contributes to Towards Healthcare and plays an active role at Precedence Research, where she focuses on delivering in-depth market intelligence, competitive analysis, and trend forecasting across pharmaceuticals, medical devices, digital health, and healthcare services. Her insights support healthcare companies, investors, and policymakers in making data-backed decisions in a highly regulated and rapidly evolving sector.

Additionally, Shivani collaborates with Statifacts, further expanding her healthcare domain reach by engaging in diverse projects across global markets. Her strength lies in transforming complex clinical and commercial data into strategic narratives that help stakeholders navigate the future of healthcare.

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FAQ's

The AI imaging device market toward massive revenue growth, with forecasts showing strong gains from 2025 to 2034.

North America is dominant in the AI imaging device market share by 42% due to high investment in AI research and development, and early adoption of AI technologies

The AI imaging device market includes six segments by imaging modality, by application, by AI technology, by deployment mode, by end user, and by region.

Key trends include the integration of AI into existing workflows to improve diagnostic accuracy and efficiency.

AI and DL play a pivotal role in reducing scanning times in MRI by optimizing various aspects of the imaging process. DLR uses a combination of techniques such as CS and PI.

Ministry of Health and Family Welfare, Government of India, National Institutes of Health, FDA, WHO, PIB, CDC.
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