Artificial Intelligence (Ai) in Medical Diagnostics Market 2021 SWOT Analysis, Competitive Landscape and Significant Growth| Microsoft Corporation (US), NVIDIA (US), IBM (US), Intel (US)

Artificial Intelligence (Ai) in Medical Diagnostics Market report deals with many parameters in depth to satisfy the requirements of business or clients. Moreover, it also displays all the information including market definition, classifications, key developments, applications, and engagements along with the detailed actions of key players with respect to product launches, joint ventures, developments, mergers and acquisitions, and effects of the same in terms of sales, import, export, revenue and CAGR values. A team of experienced and consummate market research professionals persistently track key industries to spot key developments, unmet needs, and possible growth opportunities.

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To attain knowledge of all the above factors, this transparent, extensive and supreme Artificial Intelligence (Ai) in Medical Diagnostics Market report is generated. Further, leading factors such as market drivers, market restraints, and competitive analysis are examined with the SWOT analysis which is the most established tool for generating a market research report. In this report, market data is broken down in a systematic process to highlight focus areas of the client’s interest. In addition, businesses can get knowledgeable with the level of the marketing problems, reasons for the failure of the particular product already existing in the market, and prospective market for a new product to be launched with this Artificial Intelligence (Ai) in Medical Diagnostics Market analysis report.

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.

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).

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.

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.

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%

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Table Of Contents

1 Introduction
1.1 Objectives Of The Study
1.2 Market Definition
1.3 Inclusions & Exclusions
1.3.1 Markets Covered
Figure 1 Ai In Medical Diagnostics Market Segmentation
1.3.2 Years Considered For The Study
1.4 Currency
1.5 Limitations
1.6 Stakeholders

2 Research Methodology
2.1 Research Data
2.2 Research Methodology Steps
Figure 2 Research Methodology: Ai In Medical Diagnostics Market
Figure 3 Research Design
2.2.1 Secondary Data
2.2.1.1 Key Data From Secondary Sources
2.2.2 Primary Data
Figure 4 Breakdown Of Primary Interviews: By Company Type, Designation, And Region
Figure 5 Primary Sources
2.2.2.1 Key Data From Primary Sources
2.3 Market Size Estimation Methodology
Figure 6 Research Methodology: Hypothesis Building
Figure 7 Market Size Estimation
2.4 Market Data Estimation And Triangulation
Figure 8 Data Triangulation Methodology
2.5 Assumptions For The Study
2.6 Covid-19-Specific Assumptions

3 Executive Summary
Figure 9 Ai In Medical Diagnostics Market, By Component, 2020 Vs. 2025 (Usd Million)
Figure 10 Ai In Medical Diagnostics Market, By Application, 2020 Vs. 2025 (Usd Million)
Figure 11 Ai In Medical Diagnostics Market, By End User, 2020 Vs. 2025 (Usd Million)
Figure 12 Geographical Snapshot Of The Ai In Medical Diagnostics Market

4 Premium Insights
4.1 Ai In Medical Diagnostics Market Overview
Figure 13 Influx Of Large And Complex Datasets In Healthcare To Drive Market Growth
4.2 North America: Ai In Medical Diagnostics Market, By Application And Country (2019)
Figure 14 In Vivo Diagnostic Applications Segment Accounted For The Largest Share Of The North American Market In 2019
4.3 Ai In Medical Diagnostics Market Share, By Application, 2020 Vs. 2025
Figure 15 In Vivo Diagnostic Applications Segment Will Continue To Dominate The Market In 2025
4.4 Ai In Medical Diagnostics Market: Geographic Growth Opportunities
Figure 16 Apac Market To Register The Highest Growth During The Forecast Period

5 Market Overview

6 Artificial Intelligence In Medical Diagnostics Market, By Component

7 Artificial Intelligence In Medical Diagnostics Market, By Application

8 Artificial Intelligence In Medical Diagnostics Market, By End User

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