Global Artificial Intelligence in Diagnostics Market Size study, by Component (Software, Hardware, Services), by Diagnosis Type (Cardiology, Oncology, Pathology, Radiology, Chest and Lung, Neurology, Others) and Regional Forecasts 2020-2027
- Report Code : BIZ2155845
- Published On: Dec, 2020
- Category : Healthcare IT
- Pages : 200
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Global Artificial Intelligence in Diagnostics Market is valued approximately at USD 288 million in 2019 and is anticipated to grow with a healthy growth rate of more than 32.3% over the forecast period 2020-2027. The implementation of artificial intelligence (AI) technology in medical diagnostics devices and systems has changed the way of treating and diagnosing patients in healthcare industry. Artificial intelligence is predominantly utilized in healthcare facilities to scrutinize the correlation between treatment procedures and patient outcomes. Following the successful deployment and result, AI technology could potentially be utilized in a wide range of medical practices, including medical imaging, drug development, personalized medicines, and patient monitoring care. Also, the implementation of AI technology and machine learning in diagnostics could lead to improve diagnosis accuracy and reduce cost by improving patient safety, which may strengthen the market growth across the globe. Moreover, the rise in investment or spending on healthcare AI, growing awareness on patient care and safety, and increasing collaboration among AI solution provider and healthcare facilities are the few factors responsible for the CAGR of the market during the forecast period. According to the study of the Center for Internet & Society (CIS) in 2017, the digital healthcare companies raised USD 5.5 billion for AI in the Indian healthcare industry. Also, it is anticipated that AI could possibly add approximately USD 952 billion to the Indian economy by the year 2035 and also spending in AI in the Indian healthcare industry seems to be expanding over the forecast period. This, in turn, is likely to strengthen the adoption for artificial intelligence in diagnostics, thereby contributing to the market growth around the world. However, the high cost for implementation of AI technologies coupled with rise in security concerns are the few major factors restraining the market growth over the forecast period of 2020-2027.
The regional analysis of the global Artificial Intelligence in Diagnostics market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is the leading/significant region across the world in terms of market share owing to the rising adoption of healthcare IT solutions in medical diagnosis, along with the presence of significant number of market vendors in the region. Whereas Asia-Pacific is anticipated to exhibit the highest growth rate / CAGR over the forecast period 2020-2027. Factors such as the rising government initiatives for implementing healthcare AI solution coupled with improving healthcare infrastructure across developing nations, such as China and India, are the few factors creating a lucrative opportunity for the growth of the Artificial Intelligence in Diagnostics market in the Asia-Pacific region.
Major market player included in this report are:
Aidoc Medical.
AliveCor
GE Healthcare
Imagen Technologies, Inc.
Vuno Inc.
IDx Technologies Inc.
Neural Analytics, Inc.
Siemens Healthineers AG
Riverain Technologies
Zebra Medical Vision
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
Software
Hardware
Services
By Diagnosis Type:
Cardiology
Oncology
Pathology
Radiology
Chest and Lung
Neurology
Others
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year – 2017, 2018
Base year – 2019
Forecast period – 2020 to 2027
Target Audience of the Global Artificial Intelligence in Diagnostics Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
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With tables and figures helping analyze worldwide Global Artificial Intelligence in Diagnostics market, this research provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2018-2027 (USD Million)
1.2.1. Artificial Intelligence in Diagnostics Market, by Region, 2018-2027 (USD Million)
1.2.2. Artificial Intelligence in Diagnostics Market, by Component, 2018-2027 (USD Million)
1.2.3. Artificial Intelligence in Diagnostics Market, by Diagnosis Type, 2018-2027 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Artificial Intelligence in Diagnostics Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Artificial Intelligence in Diagnostics Market Dynamics
3.1. Artificial Intelligence in Diagnostics Market Impact Analysis (2018-2027)
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities
Chapter 4. Global Artificial Intelligence in Diagnostics Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2017-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Artificial Intelligence in Diagnostics Market, by Component
5.1. Market Snapshot
5.2. Global Artificial Intelligence in Diagnostics Market by Component, Performance - Potential Analysis
5.3. Global Artificial Intelligence in Diagnostics Market Estimates & Forecasts by Component 2017-2027 (USD Million)
5.4. Artificial Intelligence in Diagnostics Market, Sub Segment Analysis
5.4.1. Software
5.4.2. Hardware
5.4.3. Services
Chapter 6. Global Artificial Intelligence in Diagnostics Market, by Diagnosis Type
6.1. Market Snapshot
6.2. Global Artificial Intelligence in Diagnostics Market by Diagnosis Type, Performance - Potential Analysis
6.3. Global Artificial Intelligence in Diagnostics Market Estimates & Forecasts by Diagnosis Type 2017-2027 (USD Million)
6.4. Artificial Intelligence in Diagnostics Market, Sub Segment Analysis
6.4.1. Cardiology
6.4.2. Oncology
6.4.3. Pathology
6.4.4. Radiology
6.4.5. Chest and Lung
6.4.6. Neurology
6.4.7. Others
Chapter 7. Global Artificial Intelligence in Diagnostics Market, Regional Analysis
7.1. Artificial Intelligence in Diagnostics Market, Regional Market Snapshot
7.2. North America Artificial Intelligence in Diagnostics Market
7.2.1. U.S. Artificial Intelligence in Diagnostics Market
7.2.1.1. Component breakdown estimates & forecasts, 2017-2027
7.2.1.2. Diagnosis Type breakdown estimates & forecasts, 2017-2027
7.2.2. Canada Artificial Intelligence in Diagnostics Market
7.3. Europe Artificial Intelligence in Diagnostics Market Snapshot
7.3.1. U.K. Artificial Intelligence in Diagnostics Market
7.3.2. Germany Artificial Intelligence in Diagnostics Market
7.3.3. France Artificial Intelligence in Diagnostics Market
7.3.4. Spain Artificial Intelligence in Diagnostics Market
7.3.5. Italy Artificial Intelligence in Diagnostics Market
7.3.6. Rest of Europe Artificial Intelligence in Diagnostics Market
7.4. Asia-Pacific Artificial Intelligence in Diagnostics Market Snapshot
7.4.1. China Artificial Intelligence in Diagnostics Market
7.4.2. India Artificial Intelligence in Diagnostics Market
7.4.3. Japan Artificial Intelligence in Diagnostics Market
7.4.4. Australia Artificial Intelligence in Diagnostics Market
7.4.5. South Korea Artificial Intelligence in Diagnostics Market
7.4.6. Rest of Asia Pacific Artificial Intelligence in Diagnostics Market
7.5. Latin America Artificial Intelligence in Diagnostics Market Snapshot
7.5.1. Brazil Artificial Intelligence in Diagnostics Market
7.5.2. Mexico Artificial Intelligence in Diagnostics Market
7.6. Rest of The World Artificial Intelligence in Diagnostics Market
Chapter 8. Competitive Intelligence
8.1. Top Market Strategies
8.2. Company Profiles
8.2.1. Aidoc Medical.
8.2.1.1. Key Information
8.2.1.2. Overview
8.2.1.3. Financial (Subject to Data Availability)
8.2.1.4. Product Summary
8.2.1.5. Recent Developments
8.2.2. AliveCor
8.2.3. GE Healthcare
8.2.4. Imagen Technologies, Inc.
8.2.5. Vuno Inc.
8.2.6. IDx Technologies Inc.
8.2.7. Neural Analytics, Inc.
8.2.8. Siemens Healthineers AG
8.2.9. Riverain Technologies
8.2.10. Zebra Medical Vision
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption
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The Global Artificial Intelligence in Diagnostics Market has been segregated into various crucial divisions including applications, types, and regions. Each market segment is intensively studied in the report contemplating its market acceptance, worthiness, demand, and growth prospects. The segmentation analysis will help the client to customize their marketing approach to have a better command of each segment and to identify the most prospective customer base.
Report Objectives / Segmentation Covered :
By Companies / players:
By Regions:
By Type:
By Application:
Frequently asked questions(FAQ's):
Recognize the areas along the Global Artificial Intelligence in Diagnostics Market's value chain where players are generating value. To get a complete picture, kindly read the entire report.
In 2023, the Global Artificial Intelligence in Diagnostics Market share exceeded USD xx million. Between 2024 and 2029, it will grow at a CAGR of yy%.
Consumer behavior changes will reshape the entire decision-making process and companies in the Global Artificial Intelligence in Diagnostics Industry will need to adapt quickly.
The majority of data for the Global Artificial Intelligence in Diagnostics Industry is gathered through primary sources, which include interviews and surveys with industry experts from the core and related industries involved in the supply chain. Secondary sources, such as SEC filings, annual reports, whitepapers, and press releases, are also used.
