Artificial Intelligence in Diagnostic

Artificial Intelligence in Diagnostic Market to Grow at Rate of 33.5% Through 2027

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The global artificial intelligence in the diagnostics market was valued at USD 295.3 million in 2019 and is anticipated to register a CAGR of 33.5% from 2020 to 2027.

The report provides the overall revenue of the global artificial intelligence in diagnostics market from 2016 to 2027, considering 2020 as the base year and 2027 as the forecast year.

Key Players & Strategies

Underlining tactical collaborations and partnerships amongst several healthcare facilities and AI solution suppliers is another aspect confidently supplementing market growth. For illustration, introduction of a machine learning tool named IBM Watson by IBM has further reinforced its market foothold in the AI in healthcare industry. It intended to accomplish its AI goals with the help of both inorganic and organic developments. Different players contending in the market arena include Siemens Healthcare GmbH, GE Healthcare, Aidoc, Imagen Technologies, AliveCor, Zebra Medical, Vision, Vuno Inc., IDx Technologies Inc., Neural Analytics, Riverain Technologies and others.

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Report 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 complementingthe 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.

Report Scope of the Artificial Intelligence in Diagnostics Market

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
Segments Covered Component Type, Diagnosis Type, Region
Companies Mentioned Siemens Healthcare GmbH, GE Healthcare, Aidoc, Imagen Technologies, AliveCor, Zebra Medical, Vision, Vuno Inc., IDx Technologies Inc., Neural Analytics, Riverain Technologies

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.

Rising need for diagnostic costs reduction, plummeting machine downtime and refining patient care, is one of the influencer using the practice of artificial intelligence in diagnostics. Additionally, upward demand for cost effective diagnostic methods, rapid diagnostic data generation and operative and effectual report analysis are certain other reasons foreseen to foster the AI in diagnostics demand in the healthcare industry. Nevertheless, high capital constraint may generate affordability concerns and hinder the growth of the industry to some extent.

Regional Snapshots

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. The U.S. conquered the overall revenue contribution of artificial intelligence in diagnostics sector in this region. Collective deployment and improvement of groundbreaking and innovative medical diagnosis software and existence of a huge number of organizations functioning across segments including network and mobile operations, in the U.S. are accelerating the growth of the market in the region.

However, 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. Furthermore, existence of large patient pool will further prompt the need for improved healthcare services, increasing disposable income and emerging healthcare infrastructure will promote growth of Asia Pacific healthcare artificial intelligence sector during forthcoming years.

Segments Covered in the Report

This research study comprises complete assessment of the market by means of far-reaching qualitative and quantitative perceptions, and predictions regarding the market. This report delivers classification of marketplace into impending and niche sectors. Further, this research study calculates market size and its development drift at global, regional, and country from 2016 to 2027. This report contains market breakdown and its revenue estimation by classifying it on the basis of component, diagnosis typeand region as follows:

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

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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Precedence Research is a worldwide market research and consulting organization. We give unmatched nature of offering to our customers present all around the globe across industry verticals. Precedence Research has expertise in giving deep-dive market insight along with market intelligence to our customers spread crosswise over various undertakings. Email: sales@flairinsight.com

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