Ai In Medical Diagnostics Market
PUBLISHED: 2023 ID: SMRC22844
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Ai In Medical Diagnostics Market

Artificial Intelligence in Medical Diagnostics Market Forecasts to 2028 - Global Analysis By Component (Services and Software), Modality (CT Scan, Ultrasound, MRI and Other Modalities), Specialty (Obstetrics & Gynecology (OB-GYN), Oncology, Brain & Neurological and Other Specialties), End User and By Geography

4.6 (47 reviews)
4.6 (47 reviews)
Published: 2023 ID: SMRC22844

This report covers the impact of COVID-19 on this global market
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Years Covered

2020-2028

Estimated Year Value (2022)

US $1.0 BN

Projected Year Value (2028)

US $8.1 BN

CAGR (2022 - 2028)

41.9%

Regions Covered

North America, Europe, Asia Pacific, South America, and Middle East & Africa

Countries Covered

US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa

Largest Market

North America

Highest Growing Market

Asia Pacific


According to Stratistics MRC, the Global Artificial Intelligence in Medical Diagnostics Market is accounted for $1.0 billion in 2022 and is expected to reach $8.1 billion by 2028 growing at a CAGR of 41.9% during the forecast period. Artificial intelligence (AI) in medical diagnostics is a strong tool that has the potential to make healthcare more accessible and inexpensive by supporting healthcare providers in making correct and timely treatment decisions for their patients. Accurate disease diagnosis is a time-consuming process that requires years of medical expertise. The application of AI in medical diagnosis has been shown to provide correct diagnoses, aid in clinical decisions, and improve physicians' judgement.

According to statistics published by the Government of Canada and released in November 2021, about 229,200 Canadians were diagnosed with cancer in 2021, and prostate cancer is expected to remain the most diagnosed cancer, accounting for 46% of all cancer diagnoses in 2021.



Market Dynamics:

Driver:

Influx of big data

With the increased digitization and use of information technology in the healthcare business, big data is generated at many phases of the care delivery process. Healthcare is one of the top five big data industries in the world, particularly in the United States. The usage of bidirectional patient portals, which allow patients to submit data and photos to their EMRs, is predicted to expand the volume of big data in medical diagnostics during the next several years. The need to successfully manage the ever-increasing number of massive and complicated medical diagnostic data is forcing the healthcare industry to turn its attention to various AI-based solutions.

Restraint:

Reluctance among medical practitioners to adopt AI-based technologies

Acceptance of new technologies is resisted by doctors. For example, medical professionals believe that AI will replace doctors in the next years. Doctors and radiologists feel that empathy and persuasion are human qualities, and that technologies cannot entirely eliminate the need for a doctor. Several healthcare practitioners express reservations regarding AI's ability to effectively diagnose patient problems. As a result, convincing providers that AI-based solutions are cost-effective, efficient, and safe solutions that offer doctors convenience and better patient care is difficult.

Opportunity:

Increasing focus on developing human-aware AI systems

The actual projections aimed at the emergence of AI technologies were to make them human-aware, i.e., generating models with human-thinking features. However, constructing interactive and scalable machines continues to be a problem for AI machine engineers. Interpretation challenges include the difficulties AI computers face in understanding human input, such as knowledge and particular commands. Presentation challenges include issues with conveying the AI system's output and feedback systems. As a result, developing human-aware AI systems continues to be the most promising opportunity for AI engineers.

Threat:

Budgetary constraints

Overcoming financial restraints is the most difficult barrier for healthcare organisations, particularly in emerging economies where it is usually difficult to secure resources for IT over medical equipment. The high cost of imaging equipment, as well as the implementation and licencing costs of AI software, are important obstacles limiting market growth, particularly in countries where reimbursement is inadequate. In addition, deployment and subscription/licensing fees place a significant financial burden on end users. Small healthcare facilities cannot afford these solutions because of budget limits. This, in turn, is predicted to have a negative impact on the growth of AI in the medical diagnostics market.

Covid-19 Impact

The COVID-19 pandemic had a negative impact on the global healthcare system. The number of people infected with COVID-19 has risen dramatically, putting a significant strain on the global health system. COVID-19 primarily affects the lungs of individuals. As a result, cardiothoracic imaging is a typical diagnostic practise in COVID-19 instances in order to determine the severity of the disease. In 2020, the number of research projects employing AI approaches to diagnose COVID-19 is expected to skyrocket. Many studies focused on applying AI technology to diagnose COVID-19 using chest CT images. Several studies have shown that AI models are as accurate as professional radiologists in diagnosing COVID-19.

The software segment is expected to be the largest during the forecast period

The software segment is estimated to have a lucrative growth, because of the increasing demand for AI-based software in diagnostics to provide an accurate diagnosis in a short period of time, the rapid development of new AI algorithms and new software approvals, and applications of AI-based software in various fields such as radiology, cardiology, neurology, gynaecology, and ophthalmology, among others. Despite the constraints of being understaffed and dealing with increased imaging scan volumes, software solutions give healthcare providers a competitive advantage over rivals.

The hospitals segment is expected to have the highest CAGR during the forecast period

The hospitals segment is anticipated to witness the highest CAGR growth during the forecast period, due to the rising number of diagnostic imaging treatments performed in hospitals. The rising inclination of hospitals toward the automation and digitization of radiology patient workflow further drives the segment growth. In addition, increasing adoption of minimally invasive procedures in hospitals and healthcare facilities to improve the quality of patient care and focus on patient centric care influences the market growth.

Region with highest share:

North America is projected to hold the largest market share during the forecast period. The primary drivers of the region's expanding dominant share are improved adaption to modern cloud-based technology and the region's high healthcare spending. Rising investment in the advanced AI diagnostics sector, as well as a greater concentration of businesses in these nations, are also contributing to regional growth.

Region with highest CAGR:

Asia Pacific is projected to have the highest CAGR over the forecast period, because of enhanced medical diagnostic facilities and technology developments in countries such as Japan and South Korea. Furthermore, regional market development is determined by the availability of equity investments and start-up incubation. The region's increased prevalence of acute and chronic illnesses, as well as the growing older population, are expected to drive market expansion.



Key players in the market

Some of the key players profiled in the Artificial Intelligence in Medical Diagnostics Market include NVIDIA, Koninklijke Philips N.V., Intel Corporation, Nanox AI, Butterfly Network, Inc., Lunit. Inc, Day Zero Diagnostics, Inc, GE Healthcare, Digital Diagnostics, Inc, Siemens Healthineers, Google, Inc., IBM, Therapixel, Microsoft and Quibin.

Key Developments:

In Sept 2021, Microsoft partnered with Truveta that will apply the power of Microsoft Azure and AI to help Truveta achieve its vision of saving lives with data.

In Feb 2021, IBM collaborated with Humana Inc. Humana deploys IBM’s Watson Assistant for Health Benefits; this is an AI-enabled virtual agent built in the IBM Watson Health Cloud.

In December 2019, Google's DeepMind division (US) is working with the Moorfields Eye Hospital in the UK. This development aims to improve prior eye disease research and assist eye doctors in assessing the risk of a patient’s eye problem and directing them to medical care based on the urgency of the condition.

Components Covered:
• Services
• Software

Modalities Covered:
• CT Scan
• Ultrasound
• MRI
• X-ray
• Other Modalities

Specialties Covered:
• Obstetrics & Gynecology (OB-GYN)
• Oncology
• Brain & Neurological
• Chest & Lung
• Cardiac & Vascular
• Other Specialties

End Users Covered:
• Hospitals
• Diagnostic Imaging Centers
• Others End Users

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions

3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 End User Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19

4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Artificial Intelligence in Medical Diagnostics Market, By Component
5.1 Introduction
5.2 Services
5.3 Software

6 Global Artificial Intelligence in Medical Diagnostics Market, By Modality
6.1 Introduction
6.2 CT Scan
6.3 Ultrasound
6.4 MRI
6.5 X-ray
6.6 Other Modalities
6.6.1 ECG
6.6.2 Retinal Optical Imaging
6.6.3 Digital Imaging
6.6.4 PET scan

7 Global Artificial Intelligence in Medical Diagnostics Market, By Specialty
7.1 Introduction
7.2 Obstetrics & Gynecology (OB-GYN)
7.3 Oncology
7.4 Brain & Neurological
7.5 Chest & Lung
7.6 Cardiac & Vascular
7.7 Other Specialties
7.7.1 Endocrinology
7.7.2 Surgical pathology
7.7.3 Nephrology
7.7.4 Ophthalmology
7.7.5 Dermatology
7.7.6 Hepatology
7.7.7 Orthopedics
7.7.8 Dentistry

8 Global Artificial Intelligence in Medical Diagnostics Market, By End User
8.1 Introduction
8.2 Hospitals
8.3 Diagnostic Imaging Centers
8.4 Others End Users

9 Global Artificial Intelligence in Medical Diagnostics Market, By Geography
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 UK
9.3.3 Italy
9.3.4 France
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 Japan
9.4.2 China
9.4.3 India
9.4.4 Australia
9.4.5 New Zealand
9.4.6 South Korea
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Argentina
9.5.2 Brazil
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 Saudi Arabia
9.6.2 UAE
9.6.3 Qatar
9.6.4 South Africa
9.6.5 Rest of Middle East & Africa

10 Key Developments
10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launch
10.4 Expansions
10.5 Other Key Strategies

11 Company Profiling
11.1 NVIDIA
11.2 Koninklijke Philips N.V.
11.3 Intel Corporation
11.4 Nanox AI
11.5 Butterfly Network, Inc.
11.6 Lunit. Inc
11.7 Day Zero Diagnostics, Inc
11.8 GE Healthcare
11.9 Digital Diagnostics, Inc
11.10 Siemens Healthineers
11.11 Google, Inc.
11.12 IBM
11.13 Therapixel
11.14 Microsoft
11.15 Quibin

List of Tables
1 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Region (2020-2028) ($MN)
2 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Component (2020-2028) ($MN)
3 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Services (2020-2028) ($MN)
4 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Software (2020-2028) ($MN)
5 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Modality (2020-2028) ($MN)
6 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By CT Scan (2020-2028) ($MN)
7 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Ultrasound (2020-2028) ($MN)
8 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By MRI (2020-2028) ($MN)
9 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By X-ray (2020-2028) ($MN)
10 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Other Modalities (2020-2028) ($MN)
11 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By ECG (2020-2028) ($MN)
12 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Retinal Optical Imaging (2020-2028) ($MN)
13 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Digital Imaging (2020-2028) ($MN)
14 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By PET scan (2020-2028) ($MN)
15 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Specialty (2020-2028) ($MN)
16 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Obstetrics & Gynecology (OB-GYN) (2020-2028) ($MN)
17 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Oncology (2020-2028) ($MN)
18 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Brain & Neurological (2020-2028) ($MN)
19 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Chest & Lung (2020-2028) ($MN)
20 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Cardiac & Vascular (2020-2028) ($MN)
21 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Other Specialties (2020-2028) ($MN)
22 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Endocrinology (2020-2028) ($MN)
23 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Surgical pathology (2020-2028) ($MN)
24 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Nephrology (2020-2028) ($MN)
25 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Ophthalmology (2020-2028) ($MN)
26 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Dermatology (2020-2028) ($MN)
27 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Hepatology (2020-2028) ($MN)
28 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Orthopedics (2020-2028) ($MN)
29 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Dentistry (2020-2028) ($MN)
30 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By End User (2020-2028) ($MN)
31 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Hospitals (2020-2028) ($MN)
32 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Diagnostic Imaging Centers (2020-2028) ($MN)
33 Global Artificial Intelligence in Medical Diagnostics Market Outlook, By Others End Users (2020-2028) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
 

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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