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Intelligence (Ai) in Medical Diagnostics Market Size & Share Analysis By GE Healthcare, Digital Diagnostics, Xilinx, InformAI, Enlitic, Day Zero Diagnostics, Aidence

By providing reliable market research information, this Artificial Intelligence (Ai) in Medical Diagnostics Market report extends a reach to success in the business. The proper utilization of established statistical tools and coherent models for analysis and forecasting of market data makes this report outperforming. Due to the effectiveness of SWOT analysis and Porter’s Five Forces analysis in generating market research report, they are preferred by the businesses and hence also used while preparing this market report. The strategies in Artificial Intelligence (Ai) in Medical Diagnostics Market report include but are not limited to new product launches, expansions, agreements, joint ventures, partnerships, and acquisitions.

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All the information, statistics and data included in this report has been collected from truthful sources such as websites, newspapers, journals, white papers, mergers, and annual reports of the companies. A combination of market intelligence and industry expertise employed in this marketing report surely helps achieve the business goals. An expert RNR team is determined on understanding client’s businesses and their needs so that the finest market research report is delivered for potential growth and success. Artificial Intelligence (Ai) in Medical Diagnostics Market report also offers such wide-ranging market information to explore practical growth strategies and recommendations. This market report genuinely analyses the potential of the market with respect to the current scenario and the future prospects by taking into consideration numerous industry aspects.

Some of the prominent players operating in the AI in medical diagnostics market are:

Microsoft Corporation (US), NVIDIA (US), IBM (US), Intel (US), Siemens Healthineers (Germany), GE Healthcare (US), Digital Diagnostics (US), Xilinx (US), InformAI (US), Enlitic (US), Day Zero Diagnostics (US), Aidence (Netherlands), Butterfly Network, Inc. (US), Prognos (US), Zebra Medical Vision (Israel), Viz.ai (US), Quibin (Spain), Qure.ai (India), Therapixel (France), and HeartFlow (US).

Global AI in medical diagnostics market projected to grow at CAGR of 50.2 %”

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. 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.

Software segment is expected to grow at the highest CAGR

On the basis of component, the AI in medical diagnostics market is segmented into software and services. The services segment dominated this market in 2020, while the software segment is estimated to grow at a higher CAGR during the forecast period. Software solutions help healthcare providers gain a competitive edge despite the challenges of being short-staffed and facing increasing imaging scan volumes. This is a key factor driving the growth of the software segment.

Hospitals to establish the largest market size of AI in medical diagnostics market

Based on end user, the AI in medical diagnostics market is segmented into hospitals, diagnostic imaging centers, diagnostic laboratories, and other end users. The hospitals segment commanded the largest share of 64.1% of this market in 2019. The large share of this segment can be attributed to the rising number of diagnostic imaging procedures performed in hospitals, the growing inclination of hospitals toward the automation and digitization of radiology patient workflow, increasing adoption of minimally invasive procedures in hospitals to improve the quality of patient care, and the rising adoption of advanced imaging modalities to improve workflow efficiency.

North America To Witness Significant Growth From 2020 To 2025

The AI in medical diagnostics market has been segmented into four main regional segments, namely, North America, Europe, the Asia Pacific, and the Rest of the World. In 2019, North America accounted for the largest market share of 37.6%. However, the APAC  market is projected to register the highest CAGR of 53.2% during the forecast period, primarily due to the growth strategies adopted by companies in emerging markets, improved medical diagnostic infrastructure, increasing geriatric population, rising prevalence of cancer, and the implementation of favorable government initiatives.

Breakdown of supply-side primary interviews:

  • By Company Type: Tier 1 – 40%, Tier 2 – 30%, and Tier 3 – 30%
  • By Designation: C-level – 27%, Director-level – 18%, and Others – 55%
  • By Region: North America – 40%, Europe – 20%, APAC – 30%, Rest of the World – 10%

Research Coverage

This report studies the AI in medical diagnostics market based on component, end user, application, and region. The report also studies factors (such as drivers, restraints, opportunities, and challenges) affecting market growth. It analyzes the opportunities and challenges in the market and provides details of the competitive landscape for market leaders. Furthermore, the report analyzes micro markets with respect to their individual growth trends and forecasts the revenue of the market segments with respect to four main regions and respective countries.

Key Benefits of Buying the Report

This report focuses on various levels of analysis—industry trends, market share of top players, and company profiles, which together form basic views and analyze the competitive landscape, and high-growth regions and their drivers, restraints, challenges, and opportunities. The report will help both established firms as well as new entrants/smaller firms to gauge the pulse of the market and garner greater market shares.

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