AI in Medical Diagnostics Market mainly driven by the government initiatives to increase the adoption of AI – based technology. Using a AI –based technology in medical diagnostics, that can helpful to diagnosis process and get accurate reports patients thus indirectly effect on patient care and easily handling of report. Owing to this factors government supports to start- up and providing funding to growth of AI based start-up in across the worldwide.
Moreover, growing focus on reducing the workload of radiologists and influx the large and complex datasets in medical field that has been increasing the demand of AI in medical diagnostics market.
However the Ai has lots of benefits but among that there is need to understand these technologies and have to professional handling, but lack of this factors AI in medical diagnostics market can be restrain during the forecast period.
Covid-19 Impact on Artificial Intelligence (Ai) in Medical Diagnostics Market:
In addition, the present Global Market study offers an in depth analysis of the present COVID-19 pandemic impact on the market growth and its influence on the longer term growth of the worldwide Market. The recently published report demonstrates the elevation within the demand for the healthcare sector. The healthcare manufacturers have experienced future also as short term effect which incorporates supply shortages, panic buying, and stocking, regulation changes as short-term whereas approval delays and possible trend variations in consumption might be perceived as long-term impacts of COVID-19 on the health and pharmaceutical market.
The increasing need for a cure has pushed vaccine research and makers to the limit. In addition to the present, panic conditions have already spurred the demand for several healthcare products and services which are discussed intimately during this report. Moreover, the impact of this pandemic on overall market revenue for the base year 2020 and its projection up to 2027 is provided in detail in this report.
Artificial Intelligence (Ai) in Medical Diagnostics Market Segment Overview
By component, the services segment dominated this market in 2020, while the software segment is estimated to grow at a better CAGR during the forecast period. Software solutions help healthcare providers gain a competitive edge despite the challenges of being short-staffed and facing increasing imaging scan volumes. This is often a key factor driving the expansion of the software segment.
By Diagnosis Tool, The neurology segment dominated the marketplace for AI in diagnostics and accounted for the biggest revenue share in forecast period. Increasing consumer shift toward value-based care, early diagnosis and precise detection provided by artificial intelligence-based solutions, and rising prevalence of varied neurological diseases, like epilepsy, Alzheimer's disease, ischemic brain stroke, Parkinson’s disease, and MS , is driving the segment growth.
By End User, the hospital and clinic segment dominated this market in 2020; this segment is estimated to grow at a better CAGR during the forecast period. The massive share of this segment are often attributed to the rising number of diagnostic imaging procedures performed in hospitals, the growing inclination of hospitals toward the automation and digitization of radiology patient workflow, increasing adoption of minimally invasive procedures in hospitals to enhance the standard of patient care, and therefore the rising adoption of advanced imaging modalities to enhance workflow efficiency.
Market Analysis, Insights and Forecast – By Component
· Software
· Service
· Hardware
Market Analysis, Insights and Forecast – By Diagnosis Tool
· Radiology
· OBGY
· MRI
· CT
· Ultrasound
· IVD
Market Analysis, Insights and Forecast – By End User
· Hospital and Clinic
· Diagnostic Laboratory
· Home Care
Artificial Intelligence (Ai) in Medical Diagnostics Market Regional Overview
Region-wise, in terms of regions, the region is anticipated to grow at the fastest rate during the forecast period. The presence of a long-time 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.
Artificial Intelligence (Ai) in Medical Diagnostics Market, By Geography
· North America (US & Canada)
· Europe (UK, Germany, France, Italy, Spain, & Rest of Europe)
· Asia-Pacific (Japan, China, India, Australia, & South Korea, & Rest of Asia-Pacific)
· LAMEA (Brazil, Saudi Arabia, UAE & Rest of LAMEA)
Artificial Intelligence (Ai) in Medical Diagnostics Market Competitor overview
Some key developments and strategies adopted by manufacturers in the Artificial Intelligence (Ai) in Medical Diagnostics are highlighted below.
· In 2020, Zebra Medical Vision united with Clalit Health Services that’s result to develop cloud-based imaging AI to serve large-scale HMO, to enable higher workflow efficiency and reduce costs.
Artificial Intelligence (Ai) in Medical Diagnostics Market, Key Players
· Aidoc
· AliveCor
· GE Healthcare
· Imagen Technologies
· Vuno Inc.
· IDx Technologies Inc.
· Siemens Healthcare GmbH
· Neural Analytics
· Riverain Technologies
· Zebra Medical Vision
1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
2. Executive Summary
3. Market Dynamics
- 3.1. Market Drivers
- 3.2. Market Restraints
- 3.3. Market Opportunities
4. Key Insights
- 4.1. Key Emerging Trends – For Major Countries
- 4.2. Latest Technological Advancement
- 4.3. Regulatory Landscape
- 4.4. Industry SWOT Analysis
- 4.5. Porters Five Forces Analysis
5. Global Artificial Intelligence (Ai) in Medical Diagnostics Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 5.1. Key Findings / Summary
- 5.2. Market Analysis, Insights and Forecast – By Component
- 5.2.1. Software
- 5.2.2. Service
- 5.2.3. Hardware
- 5.3. Market Analysis, Insights and Forecast – By Diagnosis Tool
- 5.3.1. Radiology
- 5.3.2. OBGY
- 5.3.3. MRI
- 5.3.4. CT
- 5.3.5. Ultrasound
- 5.3.6. IVD
- 5.4. Market Analysis, Insights and Forecast – By End User
- 5.4.1. Hospital and Clinic
- 5.4.2. Diagnostic Laboratory
- 5.4.3. Home Care
- 5.5. Market Analysis, Insights and Forecast – By Region
- 5.5.1. North America
- 5.5.2. Europe
- 5.5.3. Asia Pacific
- 5.5.4. Latin America, Middle East, and Africa
6. North America Artificial Intelligence (Ai) in Medical Diagnostics Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 6.1. Key Findings / Summary
- 6.2. Market Analysis, Insights and Forecast – By Component
- 6.2.1. Software
- 6.2.2. Service
- 6.2.3. Hardware
- 6.3. Market Analysis, Insights and Forecast – By Diagnosis Tool
- 6.3.1. Radiology
- 6.3.2. OBGY
- 6.3.3. MRI
- 6.3.4. CT
- 6.3.5. Ultrasound
- 6.3.6. IVD
- 6.4. Market Analysis, Insights and Forecast – By End User
- 6.4.1. Hospital and Clinic
- 6.4.2. Diagnostic Laboratory
- 6.4.3. Home Care
- 6.5. Market Analysis, Insights and Forecast – By Country
- 6.5.1. U.S.
- 6.5.2. Canada
7. Europe Artificial Intelligence (Ai) in Medical Diagnostics Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 7.1. Key Findings / Summary
- 7.2. Market Analysis, Insights and Forecast – By Component
- 7.2.1. Software
- 7.2.2. Service
- 7.2.3. Hardware
- 7.3. Market Analysis, Insights and Forecast – By Diagnosis Tool
- 7.3.1. Radiology
- 7.3.2. OBGY
- 7.3.3. MRI
- 7.3.4. CT
- 7.3.5. Ultrasound
- 7.3.6. IVD
- 7.4. Market Analysis, Insights and Forecast – By End User
- 7.4.1. Hospital and Clinic
- 7.4.2. Diagnostic Laboratory
- 7.4.3. Home Care
- 7.5. Market Analysis, Insights and Forecast – By Country
- 7.5.1. UK
- 7.5.2. Germany
- 7.5.3. France
- 7.5.4. Italy
- 7.5.5. Spain
- 7.5.6. Russia
- 7.5.7. Rest of Europe
8. Asia Pacific Artificial Intelligence (Ai) in Medical Diagnostics Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 8.1. Key Findings / Summary
- 8.2. Market Analysis, Insights and Forecast – By Component
- 8.2.1. Software
- 8.2.2. Service
- 8.2.3. Hardware
- 8.3. Market Analysis, Insights and Forecast – By Diagnosis Tool
- 8.3.1. Radiology
- 8.3.2. OBGY
- 8.3.3. MRI
- 8.3.4. CT
- 8.3.5. Ultrasound
- 8.3.6. IVD
- 8.4. Market Analysis, Insights and Forecast – By End User
- 8.4.1. Hospital and Clinic
- 8.4.2. Diagnostic Laboratory
- 8.4.3. Home Care
- 8.5. Market Analysis, Insights and Forecast – By Country
- 8.5.1. China
- 8.5.2. India
- 8.5.3. Japan
- 8.5.4. Australia
- 8.5.5. South East Asia
- 8.5.6. Rest of Asia Pacific
9. Latin America, Middle East, and Africa Artificial Intelligence (Ai) in Medical Diagnostics Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 9.1. Key Findings / Summary
- 9.2. Market Analysis, Insights and Forecast – By Component
- 9.2.1. Software
- 9.2.2. Service
- 9.2.3. Hardware
- 9.3. Market Analysis, Insights and Forecast – By Diagnosis Tool
- 9.3.1. Radiology
- 9.3.2. OBGY
- 9.3.3. MRI
- 9.3.4. CT
- 9.3.5. Ultrasound
- 9.3.6. IVD
- 9.4. Market Analysis, Insights and Forecast – By End User
- 9.4.1. Hospital and Clinic
- 9.4.2. Diagnostic Laboratory
- 9.4.3. Home Care
- 9.5. Market Analysis, Insights and Forecast – By Country
- 9.5.1. Brazil
- 9.5.2. Saudi Arabia
- 9.5.3. UAE
- 9.5.4. Rest of LAMEA
10. Competitive Analysis
- 10.1. Company Market Share Analysis, 2018
- 10.2. Key Industry Developments
- 10.3. Company Profile
- 10.4. Aidoc
- 10.4.1. Business Overview
- 10.4.2. Segment 1 & Service Offering
- 10.4.3. Overall Revenue
- 10.4.4. Geographic Presence
- 10.4.5. Recent Development
- 10.5. AliveCor
- 10.6. GE Healthcare
- 10.7. Imagen Technologies
- 10.8. Vuno Inc.
- 10.9. IDx Technologies Inc.
- 10.10. Siemens Healthcare GmbH
- 10.11. Neural Analytics
- 10.12. Riverain Technologies
Data Library Research are conducted by industry experts who offer insight on industry structure, market segmentations technology assessment and competitive landscape (CL), and penetration, as well as on emerging trends. Their analysis is based on primary interviews (~ 80%) and secondary research (~ 20%) as well as years of professional expertise in their respective industries. Adding to this, by analysing historical trends and current market positions, our analysts predict where the market will be headed for the next five years. Furthermore, the varying trends of segment & categories geographically presented are also studied and the estimated based on the primary & secondary research.
In this particular report from the supply side Data Library Research has conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and SOFT) of the companies that active & prominent as well as the midsized organization
FIGURE 1: DLR RESEARH PROCESS
Extensive primary research was conducted to gain a deeper insight of the market and industry performance. The analysis is based on both primary and secondary research as well as years of professional expertise in the respective industries.
In addition to analysing current and historical trends, our analysts predict where the market is headed over the next five years.
It varies by segment for these categories geographically presented in the list of market tables. Speaking about this particular report we have conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and many more) of the major players active in the market.
Secondary ResearchSecondary research was mainly used to collect and identify information useful for the extensive, technical, market-oriented, and Friend’s study of the Global Extra Neutral Alcohol. It was also used to obtain key information about major players, market classification and segmentation according to the industry trends, geographical markets, and developments related to the market and technology perspectives. For this study, analysts have gathered information from various credible sources, such as annual reports, sec filings, journals, white papers, SOFT presentations, and company web sites.
Market Size EstimationBoth, top-down and bottom-up approaches were used to estimate and validate the size of the Global market and to estimate the size of various other dependent submarkets in the overall Extra Neutral Alcohol. The key players in the market were identified through secondary research and their market contributions in the respective geographies were determined through primary and secondary research.
Forecast Model
