Press Releases

Artificial Intelligence in Diagnostics Market to Reach US$ 10.8 Bn by 2030

The worldwide Artificial Intelligence in Diagnostics market measurement is anticipated to achieve USD 10.8 billion by 2030 and is anticipated to increase at a CAGR of 35.8% from 2021 to 2030.

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Growth Factors

Rising number of AI-based diagnostic startups in healthcare sector along with increasing investments by venture capitalists for development of newer and innovative technologies which can provide effective and fast results with respect to diagnostic processes is supporting the market growth.

Based on component, the software segment dominated the market with a share of 44.3% in 2020. This high share is attributable to the rising demand for AI-powered software tools and cloud-based solutions for diagnostic purposes. In addition, technological advancements in artificial intelligence-based software by integration of multiple data points such as CT, and genomics for precise diagnosis and detection are further propelling the overall growth and adoption. 

Report Highlights

The software segment dominated the market and accounted for the largest revenue share of 54.3% in 2020. Increasing demand for cloud-based and AI-powered or augmented diagnostic solutions to increase diagnostic precision while analyzing and interpreting medical images of a patient is boosting segment growth.

The neurology segment dominated the market for artificial intelligence in diagnostics and accounted for the largest revenue share of 34.7% in 2020. Increasing consumer shift toward value-based care, early diagnosis and precise detection provided by artificial intelligence-based solutions, and rising prevalence of various neurological diseases, such as epilepsy, Alzheimer’s disease, ischemic brain stroke, Parkinson’s disease and multiple sclerosis, is driving the segment growth.

North America dominated the artificial intelligence in diagnostics market and accounted for the highest revenue share of 65.9%. The region is anticipated to grow at the fastest rate during the forecast period. The presence of an established healthcare sector, growing adoption of healthcare IT solutions in medical diagnosis, and lucrative funding options available for the development of AI-based diagnosis software are factors contributing to regional market growth.

Key Players

  • Aidoc
  • AliveCor
  • GE Healthcare
  • Imagen Technologies
  • Vuno Inc.
  • IDx Technologies Inc.
  • Siemens Healthcare GmbH
  • Neural Analytics
  • Riverain Technologies
  • Zebra Medical Vision
Report Coverage Detilas
Market Size US$ 10.8 billion by 2030
Growth Rate CAGR of 35.8% From 2021 to 2030
Base Year 2020
Historic Data 2017 to 2020
Forecast Period 2021 to 2030
Segments Covered Component, Diagnosis type
Regional Scope North America, Latin America, Europe, Asia Pacific, MEA
Companies Mentioned Aidoc; AliveCor; GE Healthcare; ImagenTechnologies; Vuno Inc.; IDx Technologies Inc.; Siemens Healthcare GmbH; Neural Analytics; Riverain Technologies; Zebra Medical Vision.

Market Segmentation

  • Component Outlook
    • Software
    • Hardware
    • Services
  • Diagnosis Type Outlook
    • Cardiology
    • Oncology
    • Pathology
    • Radiology
    • Chest and Lung
    • Neurology
    • Others
  • Regional Outlook
    • North America
      • U.S.
      • Canada
    • Europe
      • Germany
      • U.K.
      • France
      • Italy
      • Spain
      • Russia
    • Asia Pacific
      • Japan
      • China
      • India
      • Australia
      • Singapore
      • South Korea
    • Latin America
      • Mexico
      • Brazil
      • Argentina
    • Middle East & Africa
      • South Africa
      • Saudi Arabia
      • UAE

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Reasons to Purchase this Report:

– Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
– Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
– Market value USD Million and volume Units Million data for each segment and sub-segment
– Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
– Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players

Table of Contents

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

4.3.  Industry Value Chain Analysis

4.3.1.    Raw Material Procurement Analysis

4.3.2.    Sales and Distribution Channel Analysis

4.3.3.    Downstream Buyer Analysis

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, 2021-2030

7.1.1.    Software

7.1.1.1.        Market Revenue and Forecast (2016-2030)

7.1.2.    Hardware

7.1.2.1.        Market Revenue and Forecast (2016-2030)

7.1.3.    Services

7.1.3.1.        Market Revenue and Forecast (2016-2030)

Chapter 8.  Global Artificial Intelligence in Diagnostics Market, By Diagnosis Type

8.1.  Artificial Intelligence in Diagnostics Market, by Diagnosis Type, 2021-2030

8.1.1.    Cardiology

8.1.1.1.        Market Revenue and Forecast (2016-2030)

8.1.2.    Oncology

8.1.2.1.        Market Revenue and Forecast (2016-2030)

8.1.3.    Pathology

8.1.3.1.        Market Revenue and Forecast (2016-2030)

8.1.4.    Radiology

8.1.4.1.        Market Revenue and Forecast (2016-2030)

8.1.5.    Chest and Lung

8.1.5.1.        Market Revenue and Forecast (2016-2030)

8.1.6.    Neurology

8.1.6.1.        Market Revenue and Forecast (2016-2030)

8.1.7.    Others

8.1.7.1.        Market Revenue and Forecast (2016-2030)

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 (2016-2030)

9.1.2.    Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.1.3.    U.S.

9.1.3.1.        Market Revenue and Forecast, by Component (2016-2030)

9.1.3.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.1.4.    Rest of North America

9.1.4.1.        Market Revenue and Forecast, by Component (2016-2030)

9.1.4.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.2.  Europe

9.2.1.    Market Revenue and Forecast, by Component (2016-2030)

9.2.2.    Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.2.3.    UK

9.2.3.1.        Market Revenue and Forecast, by Component (2016-2030)

9.2.3.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.2.4.    Germany

9.2.4.1.        Market Revenue and Forecast, by Component (2016-2030)

9.2.4.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.2.5.    France

9.2.5.1.        Market Revenue and Forecast, by Component (2016-2030)

9.2.5.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.2.6.    Rest of Europe

9.2.6.1.        Market Revenue and Forecast, by Component (2016-2030)

9.2.6.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.3.  APAC

9.3.1.    Market Revenue and Forecast, by Component (2016-2030)

9.3.2.    Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.3.3.    India

9.3.3.1.        Market Revenue and Forecast, by Component (2016-2030)

9.3.3.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.3.4.    China

9.3.4.1.        Market Revenue and Forecast, by Component (2016-2030)

9.3.4.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.3.5.    Japan

9.3.5.1.        Market Revenue and Forecast, by Component (2016-2030)

9.3.5.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.3.6.    Rest of APAC

9.3.6.1.        Market Revenue and Forecast, by Component (2016-2030)

9.3.6.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.4.  MEA

9.4.1.    Market Revenue and Forecast, by Component (2016-2030)

9.4.2.    Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.4.3.    GCC

9.4.3.1.        Market Revenue and Forecast, by Component (2016-2030)

9.4.3.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.4.4.    North Africa

9.4.4.1.        Market Revenue and Forecast, by Component (2016-2030)

9.4.4.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.4.5.    South Africa

9.4.5.1.        Market Revenue and Forecast, by Component (2016-2030)

9.4.5.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.4.6.    Rest of MEA

9.4.6.1.        Market Revenue and Forecast, by Component (2016-2030)

9.4.6.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.5.  Latin America

9.5.1.    Market Revenue and Forecast, by Component (2016-2030)

9.5.2.    Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.5.3.    Brazil

9.5.3.1.        Market Revenue and Forecast, by Component (2016-2030)

9.5.3.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

9.5.4.    Rest of LATAM

9.5.4.1.        Market Revenue and Forecast, by Component (2016-2030)

9.5.4.2.        Market Revenue and Forecast, by Diagnosis Type (2016-2030)

Chapter 10.  Company Profiles

10.1.              Aidoc

10.1.1.  Company Overview

10.1.2.  Product Offerings

10.1.3.  Financial Performance

10.1.4.  Recent Initiatives

10.2.              AliveCor

10.2.1.  Company Overview

10.2.2.  Product Offerings

10.2.3.  Financial Performance

10.2.4.  Recent Initiatives

10.3.              GE Healthcare

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.              Vuno Inc.

10.5.1.  Company Overview

10.5.2.  Product Offerings

10.5.3.  Financial Performance

10.5.4.  Recent Initiatives

10.6.              IDx Technologies Inc.

10.6.1.  Company Overview

10.6.2.  Product Offerings

10.6.3.  Financial Performance

10.6.4.  Recent Initiatives

10.7.              Siemens Healthcare GmbH

10.7.1.  Company Overview

10.7.2.  Product Offerings

10.7.3.  Financial Performance

10.7.4.  Recent Initiatives

10.8.              Riverain Technologies

10.8.1.  Company Overview

10.8.2.  Product Offerings

10.8.3.  Financial Performance

10.8.4.  Recent Initiatives

10.9.              Zebra Medical Vision

10.9.1.  Company Overview

10.9.2.  Product Offerings

10.9.3.  Financial Performance

10.9.4.  Recent Initiatives

Chapter 11.  Research Methodology

11.1.              Primary Research

11.2.              Secondary Research

11.3.              Assumptions

Chapter 12.  Appendix

12.1.              About Us

Glossary of Terms

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