by [150+ Pages Report] According to Report, the artificial intelligence in diagnostics market is expected to grow at a compound annual growth rate (CAGR) of 33.5% from 2021 to 2027.
The artificial intelligence in diagnostics market report covers a detailed analysis for the historic period 2017-2020, considering 2021 as the base year and forecast (growth) for 2021-2027.
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This research report evaluates the artificial intelligence in diagnostics market on a global and regional level. It offers a thorough analysis of the market revenue status, growth, future trends, and forecast of the global artificial intelligence in diagnostics market for the period from 2017 to 2027.
Growth Factors
The introduction of AI platform is estimated to lift the clinical diagnosis growth by scaling up healthcare services across the globe. It is projected to deliver improved patient safety, outcome scrutiny, and data assortment. Progressions in data analytics is considered to upsurge the growth in the healthcare artificial intelligence industry during upcoming years. Enormous amount of data is produced each year in healthcare sector and ever-increasing volume of big data has created the requirement to implement artificial intelligence technology to handle this data resourcefully. Artificial intelligence has transformed the arena of healthcare by planning treatment plans, supporting in monotonous tasks, drug discovery and medication supervision. It is also very effectually utilized for healthcare data organization by gathering, normalizing and storing information.
Market Report Scope
| Report Highlights | Details |
| Market Size | USD 295.3 million by 2019 |
| Growth Rate | CAGR of 33.5% from 2021 to 2027 |
| Largest Market | North America |
| Fastest Growing Market | Asia Pacific |
| Base Year | 2021 |
| Forecast Period | 2021 to 2027 |
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This report enables readers to make important decisions with regard to their business, with the help of a wealth of Information enclosed in the study. The report also provides the compound annual growth rate (CAGR) of the global artificial intelligence in diagnostics market for the forecast period of 2021–2027. This data can help readers interpret quantitative growth aspects of the global market during the forecast period. It presents a wealth of information on key market dynamics, including drivers, market trends, and challenges, as well as the structure of the global market across the globe.
The report analyzes the historical and present-day scenario of the global artificial intelligence in diagnostics market to accurately gauge its growth potential. The study presents detailed information about important growth factors, restraints, and key trends that are creating the landscape for growth of the global market in order to identify opportunities for stakeholders.
Key Highlights
- Increasing acceptance of deep learning in different healthcare applications, specifically in the sectors of disease diagnostics, medical imaging, and drug discovery, and the application of multiple devices and sensors to track a patient’s health state in real time are complementing the market growth
- Software appeared as the prominent segment in the AI diagnostics market with a share of more than 40% in 2019. This substantial growth is credited to the improvement of AI-based software for identification in healthcare.
- Healthcare artificial intelligence industry in North America conquered the global marketplace and expected to mirror this trend throughout the assessment period.
- North America led the Ai in diagnostics market with substantial share of revenue more than 55% in 2019. This is credited to escalating implementation of healthcare IT solutions in diagnosis, huge subsidy for improvement of AI-based diagnosis software and existence of well-organized healthcare sector.
- Asia Pacific is considered to be most potential regional market for healthcare AI business. Healthcare AI in Asia Pacific is backed by expansions in biotechnology and pharmaceutical industry and rising R&D expenditure.
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Competition Landscape
In the final section of the research report, Precedence Research provided the global artificial intelligence in diagnostics market structure and a detailed competition landscape to provide a dashboard view of key players operating in the global market along with their business strategies to report audiences. This section is primarily designed to provide clients with an objective and detailed comparative assessment of the key providers specific to a market segment in the value chain of the market.
Some of the major players in the artificial intelligence in diagnostics market include:
- Siemens Healthcare GmbH
- GE Healthcare
- Aidoc
- Imagen Technologies
- AliveCor
- Zebra Medical Vision
- Vuno Inc.
- IDx Technologies Inc.
- Neural Analytics
- Riverain Technologies
Market Segmentation
By Component
- Hardware
- Software
- Services
By Diagnosis Type
- Radiology
- Pathology
- Cardiology
- Oncology
- Neurology
- Chest and Lung
- Others
Regional Segmentation
– North America (U.S. and Canada)
– Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
– Asia-Pacific (China, Japan, India, Southeast Asia and Rest of APAC)
– Latin America (Brazil and Rest of Latin America)
– Middle East and Africa (GCC, North Africa, South Africa, Rest of MEA)
Research Methodology
- Market estimate for 2020
- Average selling price (ASP) per region for specific product type
- Filtrations and assortment of gathered data, to estimate the base year (2021) market size for the country
- Gathering data from company websites, annual reports, white papers, financial reports, broker reports, investor presentations, and SEC filings
- National government documents, statistical databases
- News articles, press releases, and webcasts specific to companies operating in the market
- Country wise analysis through internal and external proprietary databases, and relevant patent and regulatory databases
- Determination of market penetration by country
Most Asked Questions –
What was the market size value of the artificial intelligence in diagnostics in 2020?
What is the expected market size by 2027?
What is the artificial intelligence in diagnostics market growth?
What are the key factors that positively influence market growth?
Who are the prominent players in the artificial intelligence in diagnostics market?
Why Buy this Report?
The purpose of Precedence Research’s artificial intelligence in diagnostics market study is to provide stakeholders with a detailed picture of potential barriers and untapped opportunities. The report contains exclusive information to assist businesses in making informed decisions about how to maintain growth throughout the assessment period.
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
Chapter 5. Market Dynamics Analysis and Trends
5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition
Chapter 6. Competitive Landscape
6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers
Chapter 7. Global Artificial Intelligence in Diagnostics Market, By Component
7.1. Artificial Intelligence in Diagnostics Market, by Component Type, 2020-2027
7.1.1. Hardware
7.1.1.1. Market Revenue and Forecast (2016-2027)
7.1.2. Software
7.1.2.1. Market Revenue and Forecast (2016-2027)
7.1.3. Services
7.1.3.1. Market Revenue and Forecast (2016-2027)
Chapter 8. Global Artificial Intelligence in Diagnostics Market, By Diagnosis Type
8.1. Artificial Intelligence in Diagnostics Market, by Diagnosis Type, 2020-2027
8.1.1. Radiology
8.1.1.1. Market Revenue and Forecast (2016-2027)
8.1.2. Pathology
8.1.2.1. Market Revenue and Forecast (2016-2027)
8.1.3. Cardiology
8.1.3.1. Market Revenue and Forecast (2016-2027)
8.1.4. Oncology
8.1.4.1. Market Revenue and Forecast (2016-2027)
8.1.5. Neurology
8.1.5.1. Market Revenue and Forecast (2016-2027)
8.1.6. Chest and Lung
8.1.6.1. Market Revenue and Forecast (2016-2027)
8.1.7. Others
8.1.7.1. Market Revenue and Forecast (2016-2027)
Chapter 9. Global Artificial Intelligence in Diagnostics Market, Regional Estimates and Trend Forecast
9.1. North America
9.1.1. Market Revenue and Forecast, by Component (2016-2027)
9.1.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.1.3. U.S.
9.1.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.1.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.1.4. Rest of North America
9.1.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.1.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2. Europe
9.2.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2.3. UK
9.2.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2.4. Germany
9.2.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2.5. France
9.2.5.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2.6. Rest of Europe
9.2.6.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.6.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3. APAC
9.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3.3. India
9.3.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3.4. China
9.3.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3.5. Japan
9.3.5.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3.6. Rest of APAC
9.3.6.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.6.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4. MEA
9.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4.3. GCC
9.4.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4.4. North Africa
9.4.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4.5. South Africa
9.4.5.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4.6. Rest of MEA
9.4.6.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.6.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.5. Latin America
9.5.1. Market Revenue and Forecast, by Component (2016-2027)
9.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.5.3. Brazil
9.5.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.5.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.5.4. Rest of LATAM
9.5.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.5.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
Chapter 10. Company Profiles
10.1. Siemens Healthcare GmbH
10.1.1. Company Overview
10.1.2. Product Offerings
10.1.3. Financial Performance
10.1.4. Recent Initiatives
10.2. GE Healthcare
10.2.1. Company Overview
10.2.2. Product Offerings
10.2.3. Financial Performance
10.2.4. Recent Initiatives
10.3. Aidoc
10.3.1. Company Overview
10.3.2. Product Offerings
10.3.3. Financial Performance
10.3.4. Recent Initiatives
10.4. Imagen Technologies
10.4.1. Company Overview
10.4.2. Product Offerings
10.4.3. Financial Performance
10.4.4. Recent Initiatives
10.5. AliveCor
10.5.1. Company Overview
10.5.2. Product Offerings
10.5.3. Financial Performance
10.5.4. Recent Initiatives
10.6. Zebra Medical Vision
10.6.1. Company Overview
10.6.2. Product Offerings
10.6.3. Financial Performance
10.6.4. Recent Initiatives
10.7. Vuno Inc.
10.7.1. Company Overview
10.7.2. Product Offerings
10.7.3. Financial Performance
10.7.4. Recent Initiatives
10.8. IDx Technologies Inc.
10.8.1. Company Overview
10.8.2. Product Offerings
10.8.3. Financial Performance
10.8.4. Recent Initiatives
10.9. Neural Analytics
10.9.1. Company Overview
10.9.2. Product Offerings
10.9.3. Financial Performance
10.9.4. Recent Initiatives
10.10. Riverain Technologies
10.10.1. Company Overview
10.10.2. Product Offerings
10.10.3. Financial Performance
10.10.4. Recent Initiatives
Chapter 11. Research Methodology
11.1. Primary Research
11.2. Secondary Research
11.3. Assumptions
Chapter 12. Appendix
12.1. About Us
12.2. Glossary of Terms
Thanks for reading you can also get individual chapter-wise sections or region-wise report versions such as North America, Europe, or the Asia Pacific.
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