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AI in Medical Diagnostics Market : Segmented by Component (Software, Services); by Application (In Vivo Diagnostics, In Vitro Diagnostics); By End-User (Hospitals, Diagnostic Imaging centers, Diagnostic Laboratories, Others) and Region – Global Analysis of Market Size, Share & Trends for 2019–2020 and Forecasts to 2030


[ Global AI in Medical Diagnostics Market to surpass USD 19.96 billion by 2030 from USD 0.5 billion in 2020 at a CAGR of 44.58% in the coming years, i.e., 2021-30. Product Overview One of the m... もっと見る

 

 

出版社 出版年月 電子版価格 言語
Fatpos Global
Fatpos グローバル
2021年10月30日 US$5,000
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英語

 

Summary

[ Global AI in Medical Diagnostics Market to surpass USD 19.96 billion by 2030 from USD 0.5 billion in 2020 at a CAGR of 44.58% in the coming years, i.e., 2021-30.

Product Overview
One of the most significant scientific advances in medicine to date is artificial intelligence in healthcare. A significant element contributing to the sector's growth is the involvement of numerous start-ups in the development of AI-driven imaging and diagnostic products. Image capture, processing, assisted reporting, follow-up, data storage, data mining, and other artificial intelligence applications are all available. Machine learning blends computer models and algorithms with artificial neural networks to mimic the brain's organic neural network architecture (ANNs). Deep learning has a greater success rate than traditional machine learning in terms of output.

Market Highlights
Global AI in Medical Diagnostics market is expected to project a notable CAGR of 44.58% in 2030
Government initiatives to increase AI adoption, increasing demand for AI tools in the medical field, growing focus on reducing radiologists' workload, influx of large and complex datasets, growth in funding for AI-based start-ups, and the growing number of cross-industry partnerships and collaborations are all driving growth in this market. Another key driver of market expansion is the use of this technology by a number of pharmaceutical and biotechnology firms across the world to speed up the development of COVID-19 vaccines and drugs.



Recent highlights in the Global AI in Medical Diagnostics Market
In 2020, Intel offered the first Intel-designed AI associate degree program in the United States, in collaboration with the Maricopa County Community College District (MCCCD). Thousands of students would be able to pursue jobs in high-tech, healthcare, automotive, industrial, and aerospace.

In 2019, NVIDIA and King's College London teamed together to create an AI platform for the NHS. The goal of this collaboration is for the NHS to be able to train computers to automate the most time-consuming portion of radiology interpretation.

Global AI in Medical Diagnostics Market: Segments
Software segment to grow with the highest CAGR during 2020-30
Global AI in Medical Diagnostics market is segmented by Component into Software and Services. Among these Software is expected to have the highest growth in the forecast period. Despite the constraints of being short-staffed and dealing with growing imaging scan volumes, software solutions assist healthcare providers achieve a competitive edge. This is a major driver of the software market's expansion. Many companies are developing software solutions for a variety of healthcare applications, which is a key factor in the software segment's growth. The services category is anticipated to increase in the latter half of the projection period as hospitals and other healthcare service providers implement AI-driven healthcare informatics solutions and healthcare operational support.

Hospitals segment to grow with the highest CAGR during 2020-30
Global AI in Medical Diagnostics is divided by End-User into Hospitals, Diagnostic Imaging centers, Diagnostic Laboratories, Others. Among these Hospitals held the largest share of 64.1% in 2019. The growing number of diagnostic imaging operations conducted in hospitals can be attributable to this segment's high share. Apart from this hospitals' increased interest in automating and digitizing radiology patient workflow, hospitals' increasing use of minimally invasive treatments to enhance patient care quality and hospitals' increasing use of sophisticated imaging modalities to improve workflow efficiency is also responsible for the growth in this segment.



Market Dynamics
Drivers
Growing number of cross-industry partnerships and collaborations
The rising use of AI goods and services in the healthcare industry is due to a growing knowledge of the benefits given by AI methods and their broad application areas. Various top healthcare businesses are forming alliances and collaborations with premier AI technology providers in order to develop novel AI-based solutions for healthcare applications. These tactics allow these market players to provide improved solutions to their consumers while also bolstering their standing in this fast-paced market.



Restraint
Medical professionals' reluctance to use AI-based technology
Due to the rapid rise of digital health, healthcare practitioners may now aid patients with innovative treatment techniques. AI technologies provide doctors with tools to help them diagnose and treat patients more efficiently. Doctors, on the other hand, have shown a reluctance to adopt new technology. For example, there is a widespread belief among medical professionals that AI will eventually replace physicians. Doctors and radiologists feel that qualities like empathy and persuasion are human abilities, and that technological advancements cannot totally eliminate the need for a doctor. Furthermore, there is fear that patients may become overly reliant on these technologies and will forego important in-person treatments, thereby jeopardizing long-term doctor-patient relationships.

Global AI in Medical Diagnostics Market: Key Players
Microsoft Corporation

Company Overview, Business Strategy, Key Product Offerings, Financial Performance, Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, SWOT Analysis

NVIDIA
IBM
Intel
Siemens Healthineers
GE Healthcare
Digital Diagnostics
Xilinx
InformAI
Enlitic
Day Zero Diagnostics
Aidence
Butterfly Network, Inc.
Prognos
Zebra Medical Vision
Global AI in Medical Diagnostics Market: Regions
Global AI in Medical Diagnostics market is segmented based on regional analysis into five major regions. These include North America, Latin America, Europe, Asia Pacific, and the Middle East, and Africa. Global AI in Medical Diagnostics in North America held the largest market share in the year 2019. However, The APAC market is expected to grow at the fastest rate over the forecast period, owing to emerging market growth strategies, improved medical diagnostic infrastructure, an aging population, rising cancer prevalence, favorable government initiatives for AI in healthcare, and an increase in the number of COVID-19 positive patients.



Global AI in Medical Diagnostics Market is further segmented by region into:
North America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United States and Canada
Latin America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – Mexico, Argentina, Brazil, and Rest of Latin America
Europe Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United Kingdom, France, Germany, and Rest of Europe
Asia Pacific Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – China, Japan, India, and Rest of APAC
Middle East and Africa Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – South Africa and Rest of MENA


Global AI in Medical Diagnostics Market report also contains analysis on:
AI in Medical Diagnostics Segments:
By Component
Software
Service
By Application
In Vivo Diagnostics
In Vitro Diagnostics
By End-User
Hospitals
Diagnostic imaging centers
Diagnostic Laboratories
Others
AI in Medical Diagnostics Market Dynamics
AI in Medical Diagnostics Market Size
Supply & Demand
Current Market Trends/Issues/Challenges
Competition & Companies Involved in the Market
Value Chain of the Market
Market Drivers and Restraints
AI in Medical Diagnostics Market Report Scope and Segmentation
Report Attribute Details
Market size value in 2020 USD 0.5 billion
Revenue forecast in 2030 USD 19.96 billion
Growth Rate CAGR of 44.58% from 2021 to 2030
Base year for estimation 2020
Quantitative units Revenue in USD billion and CAGR from 2021 to 2030
Report coverage Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments covered Component, Application, End-User
Regional scope North America; Europe; Asia Pacific; Latin America; Middle East & Africa (MEA)
Key companies profiled Microsoft Corporation, NVIDIA, IBM, Intel, Siemens Healthineers, GE Healthcare, Digital Diagnostics, Xilinx, InformAI, Enlitic, Day Zero, Diagnostics, Aidance, Butterfly Network, Inc., Prognos, Zebra, Medical Vision and Other Prominent Players.


Frequently Asked Questions
How big is the AI in Medical Diagnostics market?
What is the AI in Medical Diagnostics market growth?
Which segment accounted for the largest AI in Medical Diagnostics market share?
Who are the key players in the AI in Medical Diagnostics market?
What are the factors driving the AI in Medical Diagnostics market?

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Table of Contents

Contents
1. Executive Summary
2. Global AI in Medical Diagnostics Market
2.1. Product Overview
2.2. Market Definition
2.3. Segmentation
2.4. Assumptions and Acronyms
3. Research Methodology
3.1. Research Objectives
3.2. Primary Research
3.3. Secondary Research
3.4. Forecast Model
3.5. Market Size Estimation
4. Average Pricing Analysis
5. Macro-Economic Indicators
6. Market Dynamics
6.1. Growth Drivers
6.2. Restraints
6.3. Opportunity
6.4. Trends
7. Correlation & Regression Analysis
7.1. Correlation Matrix
7.2. Regression Matrix
8. Recent Development, Policies & Regulatory Landscape
9. Risk Analysis
9.1. Demand Risk Analysis
9.2. Supply Risk Analysis
10. Global AI in Medical Diagnostics Market Analysis
10.1. Porters Five Forces
10.1.1. Threat of New Entrants
10.1.2. Bargaining Power of Suppliers
10.1.3. Threat of Substitutes
10.1.4. Rivalry
10.2. PEST Analysis
10.2.1. Political
10.2.2. Economic
10.2.3. Social
10.2.4. Technological
11. Global AI in Medical Diagnostics Market
11.1. Market Size & forecast, 2020A-2030F
11.1.1. By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
11.1.2. By Volume (Million Units) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12. Global AI in Medical Diagnostics Market: Market Segmentation
12.1. By Regions
12.1.1. North America:(U.S. and Canada), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.2. Europe: (Germany, UK, France, Italy, Spain, and Rest of Europe), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.3. Asia-Pacific: (China, India, Japan, Australia and Rest of Asia Pacific), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.4. Latin America: (Brazil, Mexico, Rest of Latin America), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.5. Middle East and Africa, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2. By Component: Market Share (2020-2030F)
12.2.1. Software, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2.2. Service, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3. By Application: Market Share (2020-2030F)
12.3.1. In Vivo Diagnostics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.2. In-Vitro Diagnostics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.4. By End-User: Market Share (2020-2030F)
12.4.1. Hospitals, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.4.2. Diagnostic imaging centers, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.4.3. Diagnostic Laboratories, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.4.4. Others, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
13. Company Profile
13.1. Microsoft Corporation
13.1.1. Company Overview
13.1.2. Company Total Revenue (Financials)
13.1.3. Market Potential
13.1.4. Global Presence
13.1.5. Key Performance Indicators
13.1.6. SWOT Analysis
13.1.7. Product Launch
13.2. NVIDIA
13.3. IBM
13.4. Intel
13.5. Siemens Healthineers
13.6. GE Healthcare
13.7. Digital Diagnostics
13.8. Xilinx
13.9. InformAI
13.10. Enlitic
13.11. Day Zero Diagnostics
13.12. Aidence
13.13. Butterfly Network, Inc.
13.14. Prognos
13.15. Zebra Medical Vision
Consultant Recommendation
**The above-given segmentations and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable.

 

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