Market Overview:
The global AI-assisted diagnosis 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-assisted diagnosis in various applications such as visualization analysis, self diagnoses, predictive maintenance, and others. Moreover, the growing awareness about the benefits of using AI-assisted diagnosis is also contributing to the growth of this market. North America dominates the global AI-assisted diagnosis market and is expected to continue its dominance during the forecast period.
Product Definition:
AI-assisted diagnosis is a technology that uses artificial intelligence to help doctors diagnose diseases. It is important because it can speed up the process of diagnosis and make it more accurate.
Hardware:
Hardware is the part of AI-Assisted Diagnosis (AAD) market that includes devices such as cameras, scanners, and other sensors. Hardware helps in collecting data from patient to diagnose the disease. It also helps in generating images for medical reports and surgeries. The growth factor for hardware is increasing due to its advantages over software in diagnosing complex diseases with accuracy rates.
Software:
Software is any collection of instructions, which can be stored in a computer and run by the computer at a specific time. The software helps to process data and provides output from the processed data. In other words, it is used for carrying out operations on electronic data or information with the help of computers. It includes all types of applications such as desktop applications, mobile applications, web-based applications etc.
Application Insights:
The predictive maintenance segment dominated the market in terms of revenue share in 2017. The growth can be attributed to the increasing adoption of machine learning algorithms for data analysis and diagnosis within the industry. For instance, Siemens Healthineers uses AI for proactive inspection and diagnosis to reduce equipment failure rates by 70%.
The self-diagnosis application segment is expected to witness lucrative growth over the forecast period owing to technological advancements that have made it easier for medical devices and systems to communicate with each other. For instance, a smartphone app developed by UPMC Hamot provides information on symptoms such as shortness of breath, chest pain, nausea etc., along with possible diagnoses including pneumonia and meningitis. The use of such technology not only reduces human efforts but also helps identify critical conditions requiring immediate medical attention thus improving patient outcomes across various applications within healthcare settings globally.
Regional Analysis:
North America dominated the global market in 2017. This can be attributed to the presence of major players, increased funding for R&D activities, and high adoption of automation across various healthcare specialties. Moreover, increasing demand for personalized medicine and precision medicine that requires advanced AI-based diagnosis is expected to drive regional growth over the forecast period.
Asia Pacific is anticipated to witness lucrative growth during the forecast period owing to rising disposable income coupled with growing awareness about early disease detection among people in this region.
The Asia Pacific market was estimated at USD X million in 2017.
Growth Factors:
- Increasing demand for early and accurate diagnosis of diseases
- Rising prevalence of chronic diseases
- Growing number of AI-assisted diagnosis startups and technology providers
- Proliferation of big data and analytics in the healthcare industry
- Advances in machine learning and artificial intelligence
Scope Of The Report
Report Attributes
Report Details
Report Title
AI-Assisted Diagnosis Market Research Report
By Type
Hardware, Software
By Application
Visualization Analysis, Self Diagnoses, Predictive Maintenance, Others
By Companies
Alibaba, Alphabet, Cisco, DELL, GE, IBM, Intel, MECHANICA AI BV, Microsoft, Oracle, PSI Software AG, Rockwell Automation, SANY Heavy Industry, SAP, SAS, Siemens, Uptake Technologies Inc
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
250
Number of Tables & Figures
175
Customization Available
Yes, the report can be customized as per your need.
Global AI-Assisted Diagnosis Market Report Segments:
The global AI-Assisted Diagnosis market is segmented on the basis of:
Types
Hardware, Software
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
Visualization Analysis, Self Diagnoses, Predictive Maintenance, 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:
- Alibaba
- Alphabet
- Cisco
- DELL
- GE
- IBM
- Intel
- MECHANICA AI BV
- Microsoft
- Oracle
- PSI Software AG
- Rockwell Automation
- SANY Heavy Industry
- SAP
- SAS
- Siemens
- Uptake Technologies Inc
Highlights of The AI-Assisted Diagnosis 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:
- Hardware
- Software
- By Application:
- Visualization Analysis
- Self Diagnoses
- Predictive Maintenance
- 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 AI-Assisted Diagnosis 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.
How you may use our products:
- Correctly Positioning New Products
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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?
AI-assisted diagnosis is a process where AI can be used to help doctors diagnose medical conditions. This technology can be used to analyze images or videos of patients, and it can also help doctors identify patterns in patient data. AI-assisted diagnosis could eventually replace traditional methods of diagnosing medical conditions, and it could save lives by helping doctors make more accurate diagnoses quickly.
Some of the major players in the ai-assisted diagnosis market are Alibaba, Alphabet, Cisco, DELL, GE, IBM, Intel, MECHANICA AI BV, Microsoft, Oracle, PSI Software AG, Rockwell Automation, SANY Heavy Industry, SAP, SAS, Siemens, Uptake Technologies Inc.
The ai-assisted diagnosis market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI-Assisted Diagnosis 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 AI-Assisted Diagnosis Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 AI-Assisted Diagnosis 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 AI-Assisted Diagnosis 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 AI-Assisted Diagnosis Market Size & Forecast, 2020-2028
4.5.1 AI-Assisted Diagnosis Market Size and Y-o-Y Growth
4.5.2 AI-Assisted Diagnosis Market Absolute $ Opportunity
Chapter 5 Global 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 Market Size Forecast by Type
5.2.1 Hardware
5.2.2 Software
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global 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 Market Size Forecast by Applications
6.2.1 Visualization Analysis
6.2.2 Self Diagnoses
6.2.3 Predictive Maintenance
6.2.4 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI-Assisted Diagnosis 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 AI-Assisted Diagnosis 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 Analysis and Forecast
9.1 Introduction
9.2 North America 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 Market Size Forecast by Type
9.6.1 Hardware
9.6.2 Software
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 Market Size Forecast by Applications
9.10.1 Visualization Analysis
9.10.2 Self Diagnoses
9.10.3 Predictive Maintenance
9.10.4 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 Analysis and Forecast
10.1 Introduction
10.2 Europe 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 Market Size Forecast by Type
10.6.1 Hardware
10.6.2 Software
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 Market Size Forecast by Applications
10.10.1 Visualization Analysis
10.10.2 Self Diagnoses
10.10.3 Predictive Maintenance
10.10.4 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 Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific 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 Market Size Forecast by Type
11.6.1 Hardware
11.6.2 Software
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 Market Size Forecast by Applications
11.10.1 Visualization Analysis
11.10.2 Self Diagnoses
11.10.3 Predictive Maintenance
11.10.4 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 Analysis and Forecast
12.1 Introduction
12.2 Latin America 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 Market Size Forecast by Type
12.6.1 Hardware
12.6.2 Software
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 Market Size Forecast by Applications
12.10.1 Visualization Analysis
12.10.2 Self Diagnoses
12.10.3 Predictive Maintenance
12.10.4 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) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) 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) Market Size Forecast by Type
13.6.1 Hardware
13.6.2 Software
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) Market Size Forecast by Applications
13.10.1 Visualization Analysis
13.10.2 Self Diagnoses
13.10.3 Predictive Maintenance
13.10.4 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 AI-Assisted Diagnosis Market: Competitive Dashboard
14.2 Global AI-Assisted Diagnosis Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Alibaba
14.3.2 Alphabet
14.3.3 Cisco
14.3.4 DELL
14.3.5 GE
14.3.6 IBM
14.3.7 Intel
14.3.8 MECHANICA AI BV
14.3.9 Microsoft
14.3.10 Oracle
14.3.11 PSI Software AG
14.3.12 Rockwell Automation
14.3.13 SANY Heavy Industry
14.3.14 SAP
14.3.15 SAS
14.3.16 Siemens
14.3.17 Uptake Technologies Inc
