Market Overview:
The global artificial intelligence in diagnostics market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth of this market can be attributed to the increasing demand for AI-based diagnostic solutions across different application areas, such as cardiology, oncology, pathology, radiology and others. In addition, the growing penetration of AI-enabled devices and services is also contributing significantly to the growth of this market. On the basis of type, the global artificial intelligence in diagnostics market can be segmented into software, hardware and services. Among these segments, software held a dominant share in 2017 and is expected to maintain its dominance during the forecast period as well.
Product Definition:
Artificial intelligence is a technique that allows computers to learn from experience and understand complex tasks. In diagnostics, artificial intelligence can be used to analyze data from medical images or patient records in order to identify patterns that may indicate the presence of a disease. Artificial intelligence can also be used to predict how a patient will respond to treatment.
Software:
Software is the usage and growth factor in the market for artificial intelligence in diagnostics. It helps to improve diagnosis by providing information faster and more efficiently. Artificial intelligence software is used to diagnose diseases, identify genetic mutations, analyze medical images & X-rays, etc. Software also helps doctors with patient history keeping & analysis of a large number of patients data which further help them to provide better treatment plans at lower costs as compared to other hospitals or clinics where such tools are not available.
Hardware:
Hardware is the part of artificial intelligence in diagnostics that helps to collect, record and process data. It’s used for training the deep learning model and provides output.
It can be in the form of sensors or devices that help to capture real-time data from biological systems such as heart rate variability sensor or skin temperature sensor among others.
Application Insights:
The pathology segment dominated the market in 2017 and is expected to witness significant growth over the forecast period. The increasing adoption of automated microscopes for analyzing tissue samples from medical procedures such as biopsies, surgeries, and CT-scans is one of the key factors driving this segment. Furthermore, rising demand for rapid disease detection through AID in pathology applications is also expected to contribute towards revenue growth during the forecast period.
The oncology application segment was valued at USD 205 million in 2017 owing to its high usage across cancer research studies that require large data sets for analysis purposes. Moreover, companies such as Genome Institute of Singapore Foundation are investing heavily in genomics research activities which further propels this market toward greater heights over the coming years.
Regional Analysis:
The market in North America is expected to grow at a significant rate over the forecast period. The growth can be attributed to increasing investments by governments and private entities in R&D of artificial intelligence-based diagnostic technologies. For instance, In May 2017, the U.S.-based company Quest Diagnostics announced its plan for developing AI-driven digital pathology services that utilize image analysis and machine learning techniques for oncology diagnosis.
However, Asia Pacific is estimated to be the fastest growing segment owing to various factors such as rising disposable income coupled with improving healthcare infrastructure.
Growth Factors:
- Increasing demand for early diagnosis and treatment of diseases
- Growing number of AI-based diagnostic startups
- Rising prevalence of chronic diseases
- Advances in machine learning and big data analytics
- Government initiatives to promote AI in healthcare
Scope Of The Report
Report Attributes
Report Details
Report Title
Artificial Intelligence in Diagnostics Market Research Report
By Type
Software, Hardware, Services
By Application
Cardiology, Oncology, Pathology, Radiology, Chest and Lung, Neurology, Others
By Companies
Aidoc Medical, AliveCor, GE Healthcare, Siemens Healthineers AG, Imagen Technologies，Inc, Vuno Inc, IDx Technologies Inc, NovaSignal Corporation, Riverain Technologies, Zebra Medical Vision, OSPLabs, Philips
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
241
Number of Tables & Figures
169
Customization Available
Yes, the report can be customized as per your need.
Global Artificial Intelligence in Diagnostics Market Report Segments:
The global Artificial Intelligence in Diagnostics market is segmented on the basis of:
Types
Software, Hardware, Services
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Cardiology, Oncology, Pathology, Radiology, Chest and Lung, Neurology, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Aidoc Medical
- AliveCor
- GE Healthcare
- Siemens Healthineers AG
- Imagen Technologies，Inc
- Vuno Inc
- IDx Technologies Inc
- NovaSignal Corporation
- Riverain Technologies
- Zebra Medical Vision
- OSPLabs
- Philips
Highlights of The Artificial Intelligence in Diagnostics Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Software
- Hardware
- Services
- By Application:
- Cardiology
- Oncology
- Pathology
- Radiology
- Chest and Lung
- Neurology
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Artificial Intelligence in Diagnostics Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Artificial intelligence is a subset of machine learning that uses algorithms to make decisions based on data. It can be used in diagnostics to help identify abnormalities and recommend treatments.
Some of the major companies in the artificial intelligence in diagnostics market are Aidoc Medical, AliveCor, GE Healthcare, Siemens Healthineers AG, Imagen Technologies，Inc, Vuno Inc, IDx Technologies Inc, NovaSignal Corporation, Riverain Technologies, Zebra Medical Vision, OSPLabs, Philips.
The artificial intelligence in diagnostics market is expected to register a CAGR of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence in Diagnostics Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Artificial Intelligence in Diagnostics Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Artificial Intelligence in Diagnostics Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Artificial Intelligence in Diagnostics Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Artificial Intelligence in Diagnostics Market Size & Forecast, 2018-2028
4.5.1 Artificial Intelligence in Diagnostics Market Size and Y-o-Y Growth
4.5.2 Artificial Intelligence in Diagnostics Market Absolute $ Opportunity
Chapter 5 Global Artificial Intelligence in Diagnostics Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Artificial Intelligence in Diagnostics Market Size Forecast by Type
5.2.1 Software
5.2.2 Hardware
5.2.3 Services
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Artificial Intelligence in Diagnostics Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Artificial Intelligence in Diagnostics Market Size Forecast by Applications
6.2.1 Cardiology
6.2.2 Oncology
6.2.3 Pathology
6.2.4 Radiology
6.2.5 Chest and Lung
6.2.6 Neurology
6.2.7 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Artificial Intelligence in Diagnostics Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Artificial Intelligence in Diagnostics Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Artificial Intelligence in Diagnostics Analysis and Forecast
9.1 Introduction
9.2 North America Artificial Intelligence in Diagnostics Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Artificial Intelligence in Diagnostics Market Size Forecast by Type
9.6.1 Software
9.6.2 Hardware
9.6.3 Services
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Artificial Intelligence in Diagnostics Market Size Forecast by Applications
9.10.1 Cardiology
9.10.2 Oncology
9.10.3 Pathology
9.10.4 Radiology
9.10.5 Chest and Lung
9.10.6 Neurology
9.10.7 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Artificial Intelligence in Diagnostics Analysis and Forecast
10.1 Introduction
10.2 Europe Artificial Intelligence in Diagnostics Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Artificial Intelligence in Diagnostics Market Size Forecast by Type
10.6.1 Software
10.6.2 Hardware
10.6.3 Services
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Artificial Intelligence in Diagnostics Market Size Forecast by Applications
10.10.1 Cardiology
10.10.2 Oncology
10.10.3 Pathology
10.10.4 Radiology
10.10.5 Chest and Lung
10.10.6 Neurology
10.10.7 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Artificial Intelligence in Diagnostics Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Artificial Intelligence in Diagnostics Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Artificial Intelligence in Diagnostics Market Size Forecast by Type
11.6.1 Software
11.6.2 Hardware
11.6.3 Services
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Artificial Intelligence in Diagnostics Market Size Forecast by Applications
11.10.1 Cardiology
11.10.2 Oncology
11.10.3 Pathology
11.10.4 Radiology
11.10.5 Chest and Lung
11.10.6 Neurology
11.10.7 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Artificial Intelligence in Diagnostics Analysis and Forecast
12.1 Introduction
12.2 Latin America Artificial Intelligence in Diagnostics Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Artificial Intelligence in Diagnostics Market Size Forecast by Type
12.6.1 Software
12.6.2 Hardware
12.6.3 Services
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Artificial Intelligence in Diagnostics Market Size Forecast by Applications
12.10.1 Cardiology
12.10.2 Oncology
12.10.3 Pathology
12.10.4 Radiology
12.10.5 Chest and Lung
12.10.6 Neurology
12.10.7 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Artificial Intelligence in Diagnostics Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Artificial Intelligence in Diagnostics Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Artificial Intelligence in Diagnostics Market Size Forecast by Type
13.6.1 Software
13.6.2 Hardware
13.6.3 Services
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Artificial Intelligence in Diagnostics Market Size Forecast by Applications
13.10.1 Cardiology
13.10.2 Oncology
13.10.3 Pathology
13.10.4 Radiology
13.10.5 Chest and Lung
13.10.6 Neurology
13.10.7 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Artificial Intelligence in Diagnostics Market: Competitive Dashboard
14.2 Global Artificial Intelligence in Diagnostics Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Aidoc Medical
14.3.2 AliveCor
14.3.3 GE Healthcare
14.3.4 Siemens Healthineers AG
14.3.5 Imagen Technologies，Inc
14.3.6 Vuno Inc
14.3.7 IDx Technologies Inc
14.3.8 NovaSignal Corporation
14.3.9 Riverain Technologies
14.3.10 Zebra Medical Vision
14.3.11 OSPLabs
14.3.12 Philips
