Artificial Intelligence in Diagnostics Market Size To Hit US$ 7.4 Billion By 2032

The global artificial intelligence in diagnostics market size is expected to hit around USD 7.4 billion by 2032 and progressing a CAGR of 21% over the forecast period 2023 to 2032.

 

The on artificial intelligence in diagnostics Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.

Download Free Sample@ https://www.precedenceresearch.com/sample/1114

Report Scope of the Artificial Intelligence in Diagnostics Market

Report Highlights	Details
Market Size	USD 1.1 billion in 2022
Growth Rate	CAGR of 21% from 2023 to 2032
Largest Market	North America
Fastest Growing Market	Asia Pacific
Base Year	2022
Forecast Period	2023 to 2032
Segments Covered	Component Type, Diagnosis Type, Region

A recent report provides crucial insights along with application based and forecast information in the Global Artificial intelligence in diagnostics Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Artificial intelligence in diagnostics market.

A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.

Companies and Manufacturers Covered

The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Artificial intelligence in diagnostics market are included as given below:

Artificial intelligence in diagnostics Market Key Players

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

Market Segments

 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

Report Objectives

• To define, describe, and forecast the global artificial intelligence in diagnostics market based on product, and region
• To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
• To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
• To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
• To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
• To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
• To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the 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, 2023-2032
7.1.1. Hardware
7.1.1.1. Market Revenue and Forecast (2020-2032)
7.1.2. Software
7.1.2.1. Market Revenue and Forecast (2020-2032)
7.1.3. Services
7.1.3.1. Market Revenue and Forecast (2020-2032)

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

8.1. Artificial Intelligence in Diagnostics Market, by Diagnosis Type, 2023-2032
8.1.1. Radiology
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Pathology
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Cardiology
8.1.3.1. Market Revenue and Forecast (2020-2032)
8.1.4. Oncology
8.1.4.1. Market Revenue and Forecast (2020-2032)
8.1.5. Neurology
8.1.5.1. Market Revenue and Forecast (2020-2032)
8.1.6. Chest and Lung
8.1.6.1. Market Revenue and Forecast (2020-2032)
8.1.7. Others
8.1.7.1. Market Revenue and Forecast (2020-2032)

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 (2020-2032)
9.1.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.1.3. U.S.
9.1.3.1. Market Revenue and Forecast, by Component (2020-2032)
9.1.3.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.1.4. Rest of North America
9.1.4.1. Market Revenue and Forecast, by Component (2020-2032)
9.1.4.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.2. Europe
9.2.1. Market Revenue and Forecast, by Component (2020-2032)
9.2.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.2.3. UK
9.2.3.1. Market Revenue and Forecast, by Component (2020-2032)
9.2.3.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.2.4. Germany
9.2.4.1. Market Revenue and Forecast, by Component (2020-2032)
9.2.4.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.2.5. France
9.2.5.1. Market Revenue and Forecast, by Component (2020-2032)
9.2.5.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.2.6. Rest of Europe
9.2.6.1. Market Revenue and Forecast, by Component (2020-2032)
9.2.6.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.3. APAC
9.3.1. Market Revenue and Forecast, by Component (2020-2032)
9.3.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.3.3. India
9.3.3.1. Market Revenue and Forecast, by Component (2020-2032)
9.3.3.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.3.4. China
9.3.4.1. Market Revenue and Forecast, by Component (2020-2032)
9.3.4.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.3.5. Japan
9.3.5.1. Market Revenue and Forecast, by Component (2020-2032)
9.3.5.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.3.6. Rest of APAC
9.3.6.1. Market Revenue and Forecast, by Component (2020-2032)
9.3.6.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.4. MEA
9.4.1. Market Revenue and Forecast, by Component (2020-2032)
9.4.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.4.3. GCC
9.4.3.1. Market Revenue and Forecast, by Component (2020-2032)
9.4.3.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.4.4. North Africa
9.4.4.1. Market Revenue and Forecast, by Component (2020-2032)
9.4.4.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.4.5. South Africa
9.4.5.1. Market Revenue and Forecast, by Component (2020-2032)
9.4.5.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.4.6. Rest of MEA
9.4.6.1. Market Revenue and Forecast, by Component (2020-2032)
9.4.6.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.5. Latin America
9.5.1. Market Revenue and Forecast, by Component (2020-2032)
9.5.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.5.3. Brazil
9.5.3.1. Market Revenue and Forecast, by Component (2020-2032)
9.5.3.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)
9.5.4. Rest of LATAM
9.5.4.1. Market Revenue and Forecast, by Component (2020-2032)
9.5.4.2. Market Revenue and Forecast, by Diagnosis Type (2020-2032)

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

Contact Us:

Precedence Research

Apt 1408 1785 Riverside Drive Ottawa, ON, K1G 3T7, Canada

Call: +1 774 402 6168

Email: sales@precedenceresearch.com

Website: https://www.precedenceresearch.com

 Blog: https://www.pharma-geek.com