Artificial Intelligence In Diagnostics Market
Artificial Intelligence in Diagnostics Market Forecasts to 2030 - Global Analysis By Component (Services, Software and Hardware), Technology, Diagnosis Type, Modality, End User and By Geography
|
Years Covered |
2021-2030 |
|
Estimated Year Value (2023) |
US $1.01 BN |
|
Projected Year Value (2030) |
US $5.27 BN |
|
CAGR (2023 - 2030) |
26.6% |
|
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 Diagnostics Market is accounted for $1.01 billion in 2023 and is expected to reach $5.27 billion by 2030 growing at a CAGR of 26.6% during the forecast period. In medical diagnostics, artificial intelligence (AI) is a powerful technology with the potential to make healthcare more accessible and economical by supporting healthcare practitioners in making correct and timely treatment decisions for their patients. The process of correctly diagnosing an illness is time-consuming and requires years of medical training. It has been demonstrated that using AI to medical diagnosis improves clinical judgment in doctors and provides correct diagnoses.
According to Health IT Analytics, Case Western Reserve University researchers used a deep learning network, a type of AI, in May 2017 to correctly identify breast cancer in pathology photographs.
Market Dynamics:
Driver:
Growing need to manage massive and complex data
Big data is generated at various stages of the care delivery process as a result of the growing digitalization and information technology utilization in the healthcare industry. The healthcare industry is using a variety of Al-based solutions to manage the huge and complicated medical diagnostics data that is constantly expanding. Additionally, it is anticipated that during the course of the projection period, the use of bidirectional patient portals—which enable patients to contribute data and pictures to their EMRS—would increase the volume of big data in medical diagnostics.
Restraint:
Budgetary constraints
The main obstacle facing healthcare companies is money, particularly in developing nations where it is difficult to prioritize IT funds above medical equipment. The primary obstacles limiting market growth are the high cost of imaging technology and the implementation and licensing fees of AI software. Additionally, end users are often burdened financially by implementation and subscription fees. Small healthcare institutions cannot afford these solutions due to their limited financial resources. This is thus anticipated to have a detrimental effect on market expansion.
Opportunity:
Improved diagnostic effectiveness and efficiency
AI algorithms are capable of analyzing large amounts of patient data. AI may significantly improve diagnostic accuracy that can be difficult for human observers to pick up on. These can also process and analyze pathology slides, diagnostic data, and medical pictures efficiently, enabling speedier and more accurate interpretation. By incorporating user input and empirical data, AI systems may also update and enhance their algorithms to enhance performance and keep up with evolving medical knowledge. Over the course of the projection period, these variables should foster market expansion.
Threat:
Maintenance and purchase expenses
The market has high procurement costs, which are followed by high maintenance and capital expenditure prices. Hospitals and other established financial entities are significant market investors. The majority of costs associated with creating and adopting AI-based products are covered directly by private consumers due to poor government investment on these activities. Additionally, an AI-based system's typical repair or maintenance might be quite costly. To stay current with evolving scenarios including such expenses, these systems require ongoing improvements.
Covid-19 Impact:
The COVID-19 pandemic epidemic had a negative impact on the worldwide healthcare industry. The number of infected individuals soared, placing a tremendous strain on the global health system. As a result, cardiothoracic imaging is frequently used as a diagnostic tool to assess the disease's severity. Numerous research concentrated on utilizing AI to diagnose from chest CT scans. During the pandemic, there was a considerable rise in the creation of AI chest radiology solutions and the use of AI-based technology for remote treatment.
The software segment is expected to be the largest during the forecast period
The software segment is expected to be the largest during the forecast period. Due to the development of AI-based software for diagnosis in healthcare to improve test precision, software has become the industry leader. AI Platforms and AI Solutions are investigated in the software sector. One of the main factors driving the growth of this market is the increasing demand for cloud-based, AI-powered augmented diagnostic solutions that aid in improving diagnostic accuracy when evaluating a patient's medical photos.
The neurology segment is expected to have the highest CAGR during the forecast period
The neurology segment is expected to have the highest CAGR during the forecast period. A rise in the prevalence of several neurological disorders, such as epilepsy, Alzheimer's disease, and Parkinson's disease, as well as an aging population are driving up the need for precise diagnosis and favorably influencing market growth. Additionally, AI-based neurology diagnostic alternatives improve the efficiency and clinical judgment of the radiologist as well as precision and accuracy. The advancement of neurological departments has been facilitated by the widespread use of AI-enabled technologies.
Region with largest share:
North America is projected to hold the largest market share during the forecast period. This development was attributed to a number of factors, including the presence of a well-established healthcare IT infrastructure, continued technology advancements, increasing digital literacy, the formation of startups, supporting government efforts, increased financing sources, and key players in the area. Additionally, the demand for reducing test costs, improving patient care, and reducing equipment downtime is driving an increase in the application of AI in diagnostics.
Region with highest CAGR:
Asia Pacific is projected to hold the highest CAGR over the forecast period. The popularity of AI-based diagnostics is rising as a result of both governmental and private initiatives. Startups, visibility, and investment foster the expansion of local industries. Aging populations and acute and chronic diseases are anticipated to drive market expansion. Additionally, it is anticipated that the expanding patient pool, pandemic, cloud computing, and government AI initiatives would influence the industry.
Key players in the market
Some of the key players in Artificial Intelligence in Diagnostics Market include GE Healthcare, Siemens Healthineers AG, Riverain Technologies, NANO-X IMAGING LTD, Aidoc Medical Ltd., Metropolis Healthcare Limited, Qritive, Koninklijke Philips N.V., Agfa-Gevaert Group, HeartFlow, Inc., Arterys Inc., Aidoc Medical Ltd., International Business Machines Corporationc, AliveCor, Inc., Imagen Technologies, Agfa-Gevaert Group and HeartFlow, Inc.
Key Developments:
In May 2023, The launch of a cutting-edge testing platform based on Component Resolved Diagnostics (CRD) to identify different types of allergies in India was announced by Metropolis Healthcare Limited. To help clinicians make wise clinical decisions, this 4th generation of allergy testing technology incorporates artificial intelligence. It also offers tremendous insights into choosing and optimizing the course of treatment for a patient's allergic disease.
In March 2023, An enhanced prostate cancer diagnostics tool for pathologists, powered by artificial intelligence (AI), was unveiled by Singapore-based health-tech business Qritive. QAi Prostate can precisely identify prostatic adenocarcinoma regions and classify malignant and benign tumor areas in biopsy tissue samples using cutting-edge machine learning (ML) algorithms.
Components Covered:
• Services
• Software
• Hardware
Technologies Covered:
• Context-Aware Computing
• Computer Vision
• Machine Learning
• Natural language processing (NLP)
• Other Technologies
Diagnosis Types Covered:
• Chest & Lungs
• Pathology
• Neurology
• Oncology
• Radiology
• Cardiology
• Other Diagnosis Types
End Users Covered:
• Diagnostic Imaging Centers
• Hospitals
• Other 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 2021, 2022, 2023, 2026, and 2030
- 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 Technology Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 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 Diagnostics Market, By Component
5.1 Introduction
5.2 Services
5.3 Software
5.4 Hardware
6 Global Artificial Intelligence in Diagnostics Market, By Technology
6.1 Introduction
6.2 Context-Aware Computing
6.3 Computer Vision
6.4 Machine Learning
6.5 Natural language processing (NLP)
6.6 Other Technologies
7 Global Artificial Intelligence in Diagnostics Market, By Diagnosis Type
7.1 Introduction
7.2 Chest & Lungs
7.3 Pathology
7.4 Neurology
7.5 Oncology
7.6 Radiology
7.7 Cardiology
7.8 Other Diagnosis Types
7.8.1 Ophthalmology
7.8.2 Dermatology
7.8.3 Surgical Pathology
7.8.4 Nephrology
7.8.5 Hepatology
7.8.6 Dentistry
7.8.7 Orthopedics
7.8.8 Endocrinology
8 Global Artificial Intelligence in Diagnostics Market, By Modality
8.1 Introduction
8.2 X-ray
8.3 Ultrasound
8.4 CT Scan
8.5 MRI
8.6 Other Modalities
8.6.1 PET scan
8.6.2 Retinal Optical Imaging
8.6.3 ECG
8.6.4 Digital Imaging
9 Global Artificial Intelligence in Diagnostics Market, By End User
9.1 Introduction
9.2 Diagnostic Imaging Centers
9.3 Hospitals
9.4 Other End Users
9.4.1 Clinics
9.4.2 Ambulatory Care Centers
9.4.3 Academic Research Centers
9.4.4 Clinical Research Organizations
10 Global Artificial Intelligence in Diagnostics Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 GE Healthcare
12.2 Siemens Healthineers AG
12.3 Riverain Technologies
12.4 NANO-X IMAGING LTD
12.5 Aidoc Medical Ltd.
12.6 Metropolis Healthcare Limited
12.7 Qritive
12.8 Koninklijke Philips N.V.
12.9 Agfa-Gevaert Group
12.10 HeartFlow, Inc.
12.11 Arterys Inc.
12.12 Aidoc Medical Ltd.
12.13 International Business Machines Corporationc
12.14 AliveCor, Inc.
12.15 Imagen Technologies
12.16 Agfa-Gevaert Group
12.17 HeartFlow, Inc.
List of Tables
1 Global Artificial Intelligence in Diagnostics Market Outlook, By Region (2021-2030) ($MN)
2 Global Artificial Intelligence in Diagnostics Market Outlook, By Component (2021-2030) ($MN)
3 Global Artificial Intelligence in Diagnostics Market Outlook, By Services (2021-2030) ($MN)
4 Global Artificial Intelligence in Diagnostics Market Outlook, By Software (2021-2030) ($MN)
5 Global Artificial Intelligence in Diagnostics Market Outlook, By Hardware (2021-2030) ($MN)
6 Global Artificial Intelligence in Diagnostics Market Outlook, By Technology (2021-2030) ($MN)
7 Global Artificial Intelligence in Diagnostics Market Outlook, By Context-Aware Computing (2021-2030) ($MN)
8 Global Artificial Intelligence in Diagnostics Market Outlook, By Computer Vision (2021-2030) ($MN)
9 Global Artificial Intelligence in Diagnostics Market Outlook, By Machine Learning (2021-2030) ($MN)
10 Global Artificial Intelligence in Diagnostics Market Outlook, By Natural language processing (NLP) (2021-2030) ($MN)
11 Global Artificial Intelligence in Diagnostics Market Outlook, By Other Technologies (2021-2030) ($MN)
12 Global Artificial Intelligence in Diagnostics Market Outlook, By Diagnosis Type (2021-2030) ($MN)
13 Global Artificial Intelligence in Diagnostics Market Outlook, By Chest & Lungs (2021-2030) ($MN)
14 Global Artificial Intelligence in Diagnostics Market Outlook, By Pathology (2021-2030) ($MN)
15 Global Artificial Intelligence in Diagnostics Market Outlook, By Neurology (2021-2030) ($MN)
16 Global Artificial Intelligence in Diagnostics Market Outlook, By Oncology (2021-2030) ($MN)
17 Global Artificial Intelligence in Diagnostics Market Outlook, By Radiology (2021-2030) ($MN)
18 Global Artificial Intelligence in Diagnostics Market Outlook, By Cardiology (2021-2030) ($MN)
19 Global Artificial Intelligence in Diagnostics Market Outlook, By Other Diagnosis Types (2021-2030) ($MN)
20 Global Artificial Intelligence in Diagnostics Market Outlook, By Ophthalmology (2021-2030) ($MN)
21 Global Artificial Intelligence in Diagnostics Market Outlook, By Dermatology (2021-2030) ($MN)
22 Global Artificial Intelligence in Diagnostics Market Outlook, By Surgical Pathology (2021-2030) ($MN)
23 Global Artificial Intelligence in Diagnostics Market Outlook, By Nephrology (2021-2030) ($MN)
24 Global Artificial Intelligence in Diagnostics Market Outlook, By Hepatology (2021-2030) ($MN)
25 Global Artificial Intelligence in Diagnostics Market Outlook, By Dentistry (2021-2030) ($MN)
26 Global Artificial Intelligence in Diagnostics Market Outlook, By Orthopedics (2021-2030) ($MN)
27 Global Artificial Intelligence in Diagnostics Market Outlook, By Endocrinology (2021-2030) ($MN)
28 Global Artificial Intelligence in Diagnostics Market Outlook, By Modality (2021-2030) ($MN)
29 Global Artificial Intelligence in Diagnostics Market Outlook, By X-ray (2021-2030) ($MN)
30 Global Artificial Intelligence in Diagnostics Market Outlook, By Ultrasound (2021-2030) ($MN)
31 Global Artificial Intelligence in Diagnostics Market Outlook, By CT Scan (2021-2030) ($MN)
32 Global Artificial Intelligence in Diagnostics Market Outlook, By MRI (2021-2030) ($MN)
33 Global Artificial Intelligence in Diagnostics Market Outlook, By Other Modalities (2021-2030) ($MN)
34 Global Artificial Intelligence in Diagnostics Market Outlook, By PET scan (2021-2030) ($MN)
35 Global Artificial Intelligence in Diagnostics Market Outlook, By Retinal Optical Imaging (2021-2030) ($MN)
36 Global Artificial Intelligence in Diagnostics Market Outlook, By ECG (2021-2030) ($MN)
37 Global Artificial Intelligence in Diagnostics Market Outlook, By Digital Imaging (2021-2030) ($MN)
38 Global Artificial Intelligence in Diagnostics Market Outlook, By End User (2021-2030) ($MN)
39 Global Artificial Intelligence in Diagnostics Market Outlook, By Diagnostic Imaging Centers (2021-2030) ($MN)
40 Global Artificial Intelligence in Diagnostics Market Outlook, By Hospitals (2021-2030) ($MN)
41 Global Artificial Intelligence in Diagnostics Market Outlook, By Other End Users (2021-2030) ($MN)
42 Global Artificial Intelligence in Diagnostics Market Outlook, By Clinics (2021-2030) ($MN)
43 Global Artificial Intelligence in Diagnostics Market Outlook, By Ambulatory Care Centers (2021-2030) ($MN)
44 Global Artificial Intelligence in Diagnostics Market Outlook, By Academic Research Centers (2021-2030) ($MN)
45 Global Artificial Intelligence in Diagnostics Market Outlook, By Clinical Research Organizations (2021-2030) ($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
List of Figures
Figure 1 Global Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 2 North America Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 3 US Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 4 Canada Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 5 Mexico Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 6 Europe Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 7 Germany Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 8 UK Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 9 Italy Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 10 France Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 11 Spain Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 12 Rest of Europe Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 13 Asia Pacific Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 14 Japan Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 15 China Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 16 India Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 17 Australia Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 18 New Zealand Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 19 South Korea Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 20 Rest of Asia Pacific Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 21 South America Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 22 Argentina Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 23 Brazil Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 24 Chile Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 25 Rest of South America Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 26 Middle East & Africa Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 27 Saudi Arabia Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 28 UAE Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 29 Qatar Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 30 South Africa Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
Figure 31 Rest of Middle East & Africa Artificial Intelligence in Diagnostics Market Outlook (2021-2030) ($MN)
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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