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AI in Medical Devices Market Segmentation by offerings (Hardware, Software and Services); by Technology (Machine Learning, Natural Language Processing, and Computer Vision); by Application (Clinical Trials, Patient Data Analytics, Cybersecurity, Mental Health, Medical Imaging and Diagnostics, Drug Discovery and Other Applications) and by End-user (Hospitals & Healthcare Providers, Healthcare Payers, Patients, Pharmaceutical and Others)– Global Demand Analysis and Opportunity Outlook 2021-2029

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AI in Medical Devices Market Highlights 2020-2029

The AI in Medical Devices market is estimated to grow with a moderate CAGR during the forecast period, i.e., 2021-2029. The major factors which are attributed to drive the growth of the market are the rising volume of healthcare data and the growing complexities of datasets are driving the need for AI. Moreover, the growing adoption of precision medicine, increasing applicability of AI based tools in healthcare and rise in venture capital investments, which is anticipated to fuel the growth of the market globally. Recently, in 2020 during the COVID-19 outbreak, UC San Diego Health developed an algorithm based on artificial intelligence which was used for more than 2,000 lung X-ray images, helping radiologists in the detection of the early sign of pneumonia in COVID-19 patients.


The market is segmented on offerings into hardware, software, and services, out of which the software segment is anticipated to hold the largest share in the target market as compared to hardware and services. Moreover, the software solution segment is one of the key driving factors fuelling the growth of the market segment. Recently, Nuance Communications developed a software named Dragon Medical One, which helps healthcare companies as well as healthcare providers to transcribe a physician’s speech into an Electronic Health Record (EHR) through natural language processing.  CLICK TO DOWNLOAD SAMPLE REPORT

On the basis of application, the Clinical trial segment in the global AI in the Medical Device market is projected to grow with a significant CAGR over the forecast period. The growth of the segment can be attributed due to unsuccessful trials, which generally lead to delay and failure of drug launch in the market. This has resulted in the automation of clinical trial processes via pharmaceutical companies which are focused on integrating them with artificial intelligence.

AI in Medical Devices Market Regional Synopsis

Geographically, the market is segmented into North America, Latin America, Europe, Asia Pacific, and the Middle East & Africa region. The market in North America is anticipated to dominate the market over the forecast period on account of the rising adoption of healthcare IT solutions, availability of funding for developing AI capabilities, and well-established healthcare infrastructure. Whereas the market in the Asia Pacific is expected to emerge in the coming future, owing to the growing healthcare infrastructure, rising number of AI start-ups and the significant increase in adoption of advanced technologies are some of the factors contributing to the market growth across the region. Along with this, Europe also leads in terms of ongoing clinical trials, which is also expected to contribute to the market growth in the region. Recently, approximately 500 clinical trials were reported in National Health Services (NHS). It is also anticipated that the UK is one of the leading countries in research for heart diseases, immunology, and nervous system-related diseases.


The global AI in Medical Devices market is further classified on the basis of region as follows:

  • North America (U.S. & Canada) Market size, Y-O-Y growth & Opportunity Analysis
  • Latin America (Brazil, Mexico, Argentina, Rest of Latin America) Market size, Y-O-Y growth & Opportunity Analysis
  • Europe (U.K., Germany, France, Italy, Spain, Hungary, Belgium, Netherlands & Luxembourg, NORDIC, Poland, Turkey, Russia, Rest of Europe) Market size, Y-O-Y growth & Opportunity Analysis
  • Asia-Pacific (China, India, Japan, South Korea, Indonesia, Malaysia, Australia, New Zealand, Rest of Asia-Pacific) Market size, Y-O-Y growth & Opportunity Analysis
  • Middle East and Africa (Israel, GCC (Saudi Arabia, UAE, Bahrain, Kuwait, Qatar, Oman), North Africa, South Africa, Rest of Middle East and Africa) Market size, Y-O-Y growth & Opportunity Analysis

Market Segmentation

Our in-depth analysis of the global AI in Medical devices market includes the following segments:

By Offerings

  • Hardware
    • Network
    • Memory
    • Processor
      • MPU
      • GPU
      • FPGA
      • ASIC
  • Software
    • AI Solutions
      • On-premises
      • Cloud
    • AI Platform
      • Machine Learning Framework
      • Application Program Interface
  • Services
    • Deployment & integration
    • Support & maintenance

By Technology

  • Machine learning
    • Deep Learning
    • Unsupervised Learning
    • Supervised Learning
    • Reinforcement Learning
    • Others
  • Natural Language Processing
  • Computer Vision
  • Context-Aware Computing

By Application

  • Clinical Trials
  • Patient Data & Risk Analysis
  • Cybersecurity
  • Impatient Care & Hospital Management
  • Mental Health
  • Wearables
  • Virtual Nursing Assistants
  • Emergency Room & Surgery
  • Drug Discovery
  • Healthcare Assistance Robots
  • Medical Imaging & Diagnostics
  • Others

By End-users

  • Hospitals & Healthcare Providers
  • Patients
  • Pharmaceuticals & Biotechnology Companies
  • Healthcare payers
  • Others

Growth Drivers

  • Growing number of cross-industry partnerships and collaborations
  • Rising large and complex datasets.


  • Lack of interoperability between AI solutions offered by different players.

Top Featured Companies Dominating the Market

  • UC San Diego
  • Company Overview
    • Business Strategy
    • Key Product Offerings
    • Financial Performance
    • Key Performance Indicators
    • Risk Analysis
    • Recent Development
    • Regional Presence
    • SWOT Analysis
  • IBM
  • EBSCO Information Services
  • Medtronic.
  • NVIDIA Corporation
  • Siemens Healthcare GmbH
  • Micron Technology
  • Amazon Web Services, Inc
  • Intel Corporation


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