Vision Research Report, Recently Announced New Report on “artificial intelligence in diagnostics market – Global Industry Analysis, Market Size, Share, Growth, Trends, Region Outlook, And Segment Forecasts, 2021 – 2030″.
Global “Artificial intelligence in diagnostics market” Report 2021 covering manufacturers, regions, segments, forecast to 2030 is that the recent research report with correct information and extremely authentic info. The report provides insights on market share, market size, rate, future trends, market drivers, opportunities and challenges, risks and entry barriers, sales channels, and distributors. The Artificial intelligence in diagnostics research report focuses on the competitive surroundings that has section on company profile covering product specifications, geographical coverage, recent developments, revenue analysis, and market shares. what is more, the report offers strategic recommendations so as to help the consumers to align business goals.
The Artificial intelligence in diagnostics market revenue share is set to grow at a yearly rate of 35.8% during 2021-2030, while its valuation is Projected to jump from $ 540.3 Mn in 2020 to $10.8 Bn in 2030.
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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.
Global Artificial intelligence in diagnostics market report provides key statistics on the state of the trade and could be a valuable supply of steerage and direction for corporations and people curious about the market. The Artificial intelligence in diagnostics trade trends and promoting channels analysed. Artificial intelligence in diagnostics Market discovers numerous topics like regional market scope, product market numerous applications, market size consistent with specific product, sales and revenue by region, producing analysis, Industrial Chain, Market result Factors Analysis, market size forecast, and more. Finally, the practicableness of latest investment comes is evaluated and overall analysis conclusions offered.
Key Players
Market Segmentation
Global Artificial intelligence in diagnostics Market: Drivers and Restrains
The analysis report has incorporated the analysis of various factors that augment the market’s growth. It constitutes trends, restraints, and drivers that remodel the market in either a positive or negative manner. This section additionally provides the scope of various segments and applications that may probably influence the market within the future. The elaborated info is predicated on current trends and historic milestones. This section additionally provides an analysis of the amount of production regarding the world market and regarding every kind from 2021-2030.
COVID-19 impact on the Artificial intelligence in diagnostics market
COVID-19 is associate communicable disease caused by the novel coronavirus. for the most part unknown before this happening across the world, COVID-19 has captive from a regional crisis to a worldwide pandemic in precisely a matter of a number of weeks. the world Health Organization (WHO) declared COVID-19 as an epidemic on March 11, 2021.
COVID-19 has compact most the industries across the world by disrupting provide chains and impeding numerous industrial operations. COVID-19-responsive measures undertaken by governments, like lockdown and social distancing, led to the closure of producing plants in the initial stage of the pandemic. With only a few industrial operations allowed, the demand for numerous input product within the industrial sector has declined considerably.
Key Highlights Involved in the Market Research Report: –
Artificial intelligence in diagnostics Market Study Coverage: It includes key market segments, key makers covered, the scope of product offered within the years thought of, world Artificial intelligence in diagnostics Market and study objectives. in addition, it touches the segmentation study provided within the report on the idea of the sort of product and applications.
Artificial intelligence in diagnostics Market executive Summary: This section emphasizes the key studies, market rate, competitive landscape, market drivers, trends, and problems additionally to the gross indicators.
Artificial intelligence in diagnostics Market Production by Region: The report delivers knowledge associated with import and export, revenue, production, and key players of all regional markets studied area unit coated during this section.
Artificial intelligence in diagnostics Market Profile of Manufacturers: Analysis of every market player profiled is elaborated during this section. This section conjointly provides SWOT analysis, products, production, value, capacity, and different very important factors of the individual player.
The report delivers a comprehensive study of all the segments and shares info concerning the leading regions within the market. This report additionally states import/export consumption, offer and demand Figures, cost, business share, policy, price, revenue, and gross margins.
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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