The global artificial intelligence in diagnostics market size is expected to hit around USD 7.4 billion by 2032 and progressing a CAGR of 21% over the forecast period 2023 to 2032.
The on artificial
intelligence in diagnostics Market, which provides a business strategy,
research & development activities, concise outline of the market valuation,
valuable insights pertaining to market share, size, supply chain analysis,
competitive landscape and regional proliferation of this industry.
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Report Scope of the Artificial Intelligence in Diagnostics Market
Report Highlights | Details |
Market Size | USD 1.1 billion in 2022 |
Growth Rate | CAGR of 21% from 2023 to 2032 |
Largest Market | North America |
Fastest Growing Market | Asia Pacific |
Base Year | 2022 |
Forecast Period | 2023 to 2032 |
Segments Covered | Component Type, Diagnosis Type, Region |
A recent
report provides crucial insights along with application based and forecast
information in the Global Artificial intelligence in diagnostics Market. The
report provides a comprehensive analysis of key factors that are expected to
drive the growth of this market. This study also provides a detailed overview
of the opportunities along with the current trends observed in the Artificial
intelligence in diagnostics market.
A
quantitative analysis of the industry is compiled for a period of 10 years in
order to assist players to grow in the market. Insights on specific revenue
figures generated are also given in the report, along with projected revenue at
the end of the forecast period.
Companies
and Manufacturers Covered
The study
covers key players operating in the market along with prime schemes and
strategies implemented by each player to hold high positions in the industry.
Such a tough vendor landscape provides a competitive outlook of the industry,
consequently existing as a key insight. These insights were thoroughly analysed
and prime business strategies and products that offer high revenue generation
capacities were identified. Key players of the global Artificial intelligence
in diagnostics market are included as given below:
Artificial intelligence in diagnostics Market Key Players
- Siemens Healthcare GmbH
- GE Healthcare
- Aidoc
- Imagen Technologies
- AliveCor
- Zebra Medical Vision
- Vuno Inc.
- IDx Technologies Inc.
- Neural Analytics
- Riverain Technologies
Market Segments
- Hardware
- Software
- Services
By Diagnosis Type
- Radiology
- Pathology
- Cardiology
- Oncology
- Neurology
- Chest and Lung
- Others
By Regional Outlook
- North America
- U.S.
- Canada
- Europe
- U.K.
- Germany
- France
- Asia Pacific
- China
- India
- Japan
- South Korea
- Middle East & Africa
- Latin America
Report Objectives
- To define, describe, and forecast the global artificial
intelligence in diagnostics market based on product, and region
- To provide detailed information regarding the major
factors influencing the growth of the market (drivers, opportunities, and
industry-specific challenges)
- To strategically analyze micromarkets1 with respect to
individual growth trends, future prospects, and contributions to the total
market
- To analyze opportunities in the market for stakeholders
and provide details of the competitive landscape for market leaders
- To forecast the size of market segments with respect to
four main regions—North America,
Europe, Asia Pacific and the Rest of the World (RoW)2
- To strategically profile key players and comprehensively
analyze their product portfolios, market shares, and core competencies3
- To track and analyze competitive developments such as
acquisitions, expansions, new product launches, and partnerships in the artificial
intelligence in diagnostics market
Table of Content
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, 2023-2032
7.1.1. Hardware
7.1.1.1. Market Revenue and Forecast (2020-2032)
7.1.2. Software
7.1.2.1. Market Revenue and Forecast (2020-2032)
7.1.3. Services
7.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 8. Global Artificial Intelligence in Diagnostics Market, By Diagnosis Type
8.1. Artificial Intelligence in Diagnostics Market, by Diagnosis Type, 2023-2032
8.1.1. Radiology
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Pathology
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Cardiology
8.1.3.1. Market Revenue and Forecast (2020-2032)
8.1.4. Oncology
8.1.4.1. Market Revenue and Forecast (2020-2032)
8.1.5. Neurology
8.1.5.1. Market Revenue and Forecast (2020-2032)
8.1.6. Chest and Lung
8.1.6.1. Market Revenue and Forecast (2020-2032)
8.1.7. Others
8.1.7.1. Market Revenue and Forecast (2020-2032)
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 (2020-2032)
9.1.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.1.3. U.S.
9.1.3.1. Market Revenue and Forecast, by Component (2020-2032)
9.1.3.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.1.4. Rest of North America
9.1.4.1. Market Revenue and Forecast, by Component (2020-2032)
9.1.4.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.2. Europe
9.2.1. Market Revenue and Forecast, by Component (2020-2032)
9.2.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.2.3. UK
9.2.3.1. Market Revenue and Forecast, by Component (2020-2032)
9.2.3.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.2.4. Germany
9.2.4.1. Market Revenue and Forecast, by Component (2020-2032)
9.2.4.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.2.5. France
9.2.5.1. Market Revenue and Forecast, by Component (2020-2032)
9.2.5.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.2.6. Rest of Europe
9.2.6.1. Market Revenue and Forecast, by Component (2020-2032)
9.2.6.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.3. APAC
9.3.1. Market Revenue and Forecast, by Component (2020-2032)
9.3.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.3.3. India
9.3.3.1. Market Revenue and Forecast, by Component (2020-2032)
9.3.3.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.3.4. China
9.3.4.1. Market Revenue and Forecast, by Component (2020-2032)
9.3.4.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.3.5. Japan
9.3.5.1. Market Revenue and Forecast, by Component (2020-2032)
9.3.5.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.3.6. Rest of APAC
9.3.6.1. Market Revenue and Forecast, by Component (2020-2032)
9.3.6.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.4. MEA
9.4.1. Market Revenue and Forecast, by Component (2020-2032)
9.4.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.4.3. GCC
9.4.3.1. Market Revenue and Forecast, by Component (2020-2032)
9.4.3.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.4.4. North Africa
9.4.4.1. Market Revenue and Forecast, by Component (2020-2032)
9.4.4.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.4.5. South Africa
9.4.5.1. Market Revenue and Forecast, by Component (2020-2032)
9.4.5.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.4.6. Rest of MEA
9.4.6.1. Market Revenue and Forecast, by Component (2020-2032)
9.4.6.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.5. Latin America
9.5.1. Market Revenue and Forecast, by Component (2020-2032)
9.5.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.5.3. Brazil
9.5.3.1. Market Revenue and Forecast, by Component (2020-2032)
9.5.3.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.5.4. Rest of LATAM
9.5.4.1. Market Revenue and Forecast, by Component (2020-2032)
9.5.4.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
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
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