Artificial Intelligence in Diagnostics Market 2020 Industry Growth, Top Players, Segmentation and Forecast to 2027

According to Precedence Research, during the forecast period of 2020 to 2027, the global artificial intelligence in diagnostics market is estimated to develop at a compound annual growth rate (CAGR) of 33.5%. The global artificial intelligence in diagnostics market was valued at USD 295.3 billion in 2021. The study investigates several elements and their consequences on the growth of the artificial intelligence in diagnostics market.

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Growth Factor

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.

Report Scope of the Artificial Intelligence in Diagnostics Market

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This report focuses on artificial intelligence in diagnostics market volume and value at the global level, regional level and company level. From a global perspective, this report represents overall artificial intelligence in diagnostics market size by analysing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, Middle East & Africa, Latin America, etc.

The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2027. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

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.

In-Depth Analysis on Competitive Landscape

The report sheds light on leading manufacturers of artificial intelligence in diagnostics, along with their detailed profiles. Essential and up-to-date data related to market performers who are principally engaged in the production of artificial intelligence in diagnostics has been brought with the help of a detailed dashboard view. Market share analysis and comparison of prominent players provided in the report permits report readers to take preemptive steps in advancing their businesses.

Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the artificial intelligence in diagnostics market.

Some of the prominent players in the artificial intelligence in diagnostics market include:

• Siemens Healthcare GmbH
• GE Healthcare
• Aidoc
• Imagen Technologies
• AliveCor
• Zebra Medical Vision
• Vuno Inc.
• IDx Technologies Inc.
• Neural Analytics
• Riverain Technologies

Segments Covered in the Report

By Component

• Hardware
• Software
• Services

By Diagnosis Type

• Radiology
• Pathology
• Cardiology
• Oncology
• Neurology
• Chest and Lung
• Others

Regional Segmentation

• Asia-Pacific [China, Southeast Asia, India, Japan, Korea, Western Asia]
• Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
• North America [United States, Canada, Mexico]
• South America [Brazil, Argentina, Columbia, Chile, Peru]
• Middle East & Africa [GCC, North Africa, South Africa]

Some of the important ones are:

• What can be the best investment choices for venturing into new product and service lines?
• What value propositions should businesses aim at while making new research and development funding?
• Which regulations will be most helpful for stakeholders to boost their supply chain network?
• Which regions might see the demand maturing in certain segments in near future?
• What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?
• Which are the key perspectives that the C-suite are leveraging to move businesses to new growth trajectory?
• Which government regulations might challenge the status of key regional markets?
• How will the emerging political and economic scenario affect opportunities in key growth areas?
• What are some of the value-grab opportunities in various segments?
• What will be the barrier to entry for new players in the market?

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

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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