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Artificial Intelligence in Diagnostics Market Size, Growth, Demands Outlook and Forecasts to 2027

Precedence Research - December 22, 2022

According to the research report, the global artificialintelligence in diagnostics market size is expected to touch USD 5.6 Billion by 2027, from USD 295.3 Million in 2019, growing with a significant CAGR of 33.5% from 2021 to 2027.

Artificial Intelligence in Diagnostics Market Size 2020 to 2027

The artificial intelligence in diagnostics market report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global artificial intelligence in diagnostics market in conjunction with the geographical landscape of this vertical have also been included in this report.

The report offers intricate dynamics about different aspects of the global artificial intelligence in diagnostics market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global artificial intelligence in diagnostics market during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).

Sample Link @ https://www.precedenceresearch.com/sample/1114

 Report Scope of the Artificial Intelligence in Diagnostics Market

Report HighlightsDetails
Market SizeUSD 295.3 million by 2019
Growth RateCAGR of 33.5% from 2021 to 2027
Largest MarketNorth America
Fastest Growing MarketAsia Pacific
Base Year2021
Forecast Period2021 to 2027
Segments CoveredComponent Type, Diagnosis Type, Region
Companies MentionedSiemens Healthcare GmbH, GE Healthcare, Aidoc, Imagen Technologies, AliveCor, Zebra Medical, Vision, Vuno Inc., IDx Technologies Inc., Neural Analytics, Riverain Technologies

This study covers a detailed segmentation of the global artificial intelligence in diagnostics market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global artificial intelligence in diagnostics market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.

Key Players

  • 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

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

Research Methodology

The research methodology adopted by analysts for compiling the global artificial intelligence in diagnostics market report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.

During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.

For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global artificial intelligence in diagnostics market.

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

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