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Healthcare Artificial Intelligence in Diagnostics Market

Market Definition

Artificial intelligence (AI) refers to the development of unique systems using algorithms and software that can complete activities without the need for human participation or instructions. Machine learning, natural language processing, reasoning, and perception are just a few of the technologies that make up artificial intelligence. In diagnostics, AI is utilised to approximate human cognition and to analyse complicated medical and diagnostic imaging data.

The growing need for AI-based diagnostic solutions is being fueled by a desire to lower testing costs, reduce machine downtime, and improve patient care. Furthermore, rising demand for cost-effective diagnostic methods and procedures, rapid diagnostic data collection and consolidation, and efficient report analysis are just a few of the other reasons predicted to propel the artificial intelligence in diagnostics market forward. As a result, artificial intelligence (AI) solutions have been developed to meet these expanding demands. Rising strategic activities among competitors operating in the market for artificial intelligence in diagnostics, such as partnerships, collaborations, mergers and acquisitions, and product launches, is another factor positively driving market growth.

In order to safeguard the safety of healthcare personnel and hospital staff, AI technologies are increasingly being utilised to scan hospital visitors for the presence of COVID-19. Furthermore, these new technologies are being used to monitor the vital signs of COVID-19 patients and provide them with the treatment they require.

The Artificial Intelligence in Diagnostics market study includes a regional analysis of North America, Europe, Asia Pacific, and the Rest of the World. Each region's Artificial Intelligence in Diagnostics market is further categorised by major countries such as the United States, Canada, Germany, the United Kingdom, France, Italy, China, India, Japan, Brazil, South Africa, and others.

Report Scope

The global market report scope consists of a comprehensive study covering primary factors impacting the industry trends. The study includes analysis of regional and country-level market dynamics. The scope also consists of a competitive overview offering company market shares coupled with company profiles for key revenue contributing companies. The report covers a detailed competitive outlook covering market shares and profiles of key participants in the market share.

Major Market Players

This report offers the major market player’s profiles, such as  Microsoft Corporation (US), NVIDIA (US), IBM (US), Intel (US), Siemens Healthineers (Germany), GE Healthcare (US), Digital Diagnostics (US), Xilinx (US), InformAI (US), Enlitic (US), Day Zero Diagnostics (US), Aidence (Netherlands), Butterfly Network, Inc. (US), Prognos (US), Zebra Medical Vision (Israel), Viz.ai (US), Quibin (Spain), Qure.ai (India), Therapixel (France), and HeartFlow (US).

The Artificial Intelligence in Diagnostics Market report has been categorized as below

By Component

  • Software

  • Services

By Application

  • In Vivo Diagnostics

    • By Speciality

      • Radiology

      • Cardiology

      • Neurology

      • Obstretics/ Gynecology

      • Opthalmology

      • Others

    • By Modalities

      • MRI

      • CT scan’

      • X rays

      • Ultrasound

      • Others

  • In Vitro Diagnostics

By End User

  • Hospitals

  • Diagnostic Imaging Centers

  • Diagnostic Laboratories

  • Others

By Region

  • North America
  • Europe
  • Asia Pacific
  • Rest of World

The years considered for the study are as follows:

●       Base year - 2020

●       Estimated year - 2021

●       Projected year – 2022

●       Forecast period - 2021 to 2027

Key Questions Addressed by the Report

●       New products/service competitors are exploring?

●       Key players in the Artificial Intelligence in Diagnostics Market and how extreme is the competition?

●       What are the future market trends that manufacturers are emphasizing on in the future updates?

●       For each segment, what are the crucial opportunities in the market?

●       What are the key growth strategies embraced by key market players in the market?

●       What are the key success strategies adopted by major competitors in the market?

Why Buy this Report:

●       Obtain comprehensive insights on the Artificial Intelligence in Diagnostics market trends

●       Note comprehensive analysis of the market status

●       Identifies the market opportunities and growth segments

●       Assessing business segments & product portfolios, and explain competitive dynamics

●       Provide strategy planning and industry dynamics to strengthen decision making

Report Content

1. Global Artificial Intelligence in Diagnostics Market Introduction

1.1. Key Insights

1.2. Report Overview

1.3. Markets Covered

1.4. Stakeholders

2. Research Methodology


2.1. Research Scope

2.2. Market Research Process

2.3. Research Data Analysis

2.4. Market Size Estimation

3. Executive Summary 

4 . Market Overview

4.1. Introduction

4.2. Market Drivers and Restraints

5. By Component

5.1.  Software

5.2.  Services

6. By Application

    6.1.  In Vivo Diagnostics

        6.1.1.  By Speciality

            6.1.1.1. Radiology

            6.1.1.2. Cardiology

            6.1.1.3. Neurology

            6.1.1.4. Obstretics/ Gynecology

            6.1.1.5. Opthalmology

            6.1.1.6. Others

        6.1.2. By Modalities

            6.1.2.1. MRI

            6.1.2.2. CT scan’

            6.1.2.3. X rays

            6.1.2.4. Ultrasound

           6.1.2.5. Others

    6.2. In Vitro Diagnostics

7. By End User

7.1.  Hospitals

7.2.  Diagnostic Imaging Centers

7.3. Diagnostic Laboratories

7.4. Others


8. By Region

8.1. Key Points

8.2. North America

8.3. Europe

8.4. Asia Pacific

8.5. Rest of the World


9. Company Profile

(Profile contain company overview, products/services, financials & recent developments)

9.1. Microsoft Corporation (US)

9.2. NVIDIA (US)

9.3. IBM (US)

9.4. Intel (US)

9.5. Siemens Healthineers (Germany)

9.6. GE Healthcare (US)

9.7. Digital Diagnostics (US)

9.8. Xilinx (US), 

9.9. InformAI (US)

9.10. Enlitic (US)

9.11. Day Zero Diagnostics (US)

9.12. Aidence (Netherlands)

9.13. Butterfly Network, Inc. (US)

9.14. Prognos (US)

9.15. Zebra Medical Vision (Israel)

9.16. Viz.ai (US)

9.17. Quibin (Spain)

 9.18. Qure.ai (India)

9.19. Therapixel (France)

 9.20. HeartFlow (US)


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