2020 Global AI for Radiology Market Outlook

Artificial intelligence (AI), sometimes-called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. AI, many believe, can and will optimize radiologists' workflows, facilitate quantitative radiology, and assist in discovering genomic markers. This report mainly studies AI for Radiology market.

The global AI for Radiology market is valued at xx million US$ in 2018 is expected to reach xx million US$ by the end of 2025, growing at a CAGR of xx% during 2019-2025.
This report focuses on AI for Radiology volume and value at global level, regional level and company level. From a global perspective, this report represents overall AI for Radiology market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, China and Japan.
At company level, this report focuses on the production capacity, ex-factory price, revenue and market share for each manufacturer covered in this report.

The following manufacturers are covered:
Arterys
Aidoc
Qure.ai
General Electric (GE) Company
IBM
Intel
Medtronic
Microsoft
NVIDIA
Siemens AG

Segment by Regions
North America
Europe
China
Japan

Segment by Type
Deep Learning
Computer Vision
Others

Segment by Application
Neurology
Cardiovascular
Breast
Lung
Liver
Others

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This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.

  • By product type
  • By End User/Applications
  • By Technology
  • By Region

The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.

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