AI in Healthcare Market
AI in Healthcare Market Overview
The report is titled as ‘AI in Healthcare Market: Opportunity Analysis and Future Assessment 2020-2028’. An overview of conceptual frameworks, analytical approaches of the AI in healthcare market is the main objective of the report, which further consists the market opportunity and insights of the data involved in the making of the respective market. AI in healthcare market is expected to grow at a significant rate in the near future.
The global AI in healthcare market in 2020 is estimated for more than US$ 5.0 Bn and expected to reach a value of US$ 107.5 Bn by 2028 with a significant CAGR of 47.3%.
AI in Healthcare Market Dynamics
Growing demand for hardware platforms that have a high computing power to run various AI software is one of the main factors which is expected to drive the growth for hardware devices in AI in the healthcare market globally. Further, innovative sensing capabilities, increased processing power, and improved connectivity of the AI devices have resulted in the higher growth of the target market globally. Moreover, planning and scheduling get easier due to the AI, which helps healthcare facilities to get substantial support to the management and patient care which results as improving administrative workflow assistance which acts as one of the main factors that will drive the growth of the market at the global level. Additionally, the use of smart AI devices that help the patient-doctor interaction has also helped to flourish the global AI in healthcare market.
AI in Healthcare Market Segmentation
By Offering
• Hardware
o Processor
MPU
GPU
FPGA
ASIC
o Memory
o Network
• Software
o AI Solutions
On-Premises
Cloud
o AI Platform
Machine Learning Framework
Application Program Interface
• Services
o Deployment & Integration
o Support & Maintenance
By Technology
• Machine Learning
o Deep Learning
o Supervised Learning
o Reinforcement Learning
o Unsupervised Learning
o Others
• Natural Language Processing
• Context-Aware Computing
• Computer Vision
By End-Use Application
• Patient Data & Risk Analysis
• Inpatient Care & Hospital Management
• Medical Imaging & Diagnostics
• Lifestyle Management & Patient Monitoring
• Virtual Assistants
• Drug Discovery
• Research
• Healthcare Assistance Robots
• Precision Medicine
• Emergency Room & Surgery
• Wearables
• Mental Health
• Cybersecurity
By End-User
• Hospitals & Healthcare Providers
• Patients
• Pharmaceuticals & Biotechnology Companies
• Healthcare Payers
• Others (ACOS and MCOS)
By Region
• North America
• Europe
• Asia Pacific
• Latin America
• Middle East
• Africa
AI in Healthcare Market Launch Overview
In the global AI healthcare market, the major pipeline overview includes the launch of a Pre-Cert for Software Pilot Program which is focused on digital health innovations and technologies. This software is launched by the FDA which has significant benefits to patients’ lives and the healthcare system as it is offering treatment, diagnosis of various diseases, and prevention; which helps in managing chronic conditions.
AI in Healthcare Market Competitive Landscape
Some of the key participating players in global AI in healthcare market are
• NVIDIA Corporation
• Intel Corporation
• IBM Corporation
• Google LLC
• Microsoft Corporation
• General Electric X-ray Corporation
• Siemens Healthineers AG
• Medtronic Plc
• Micron Technologies
• Amazon Web Services, Inc.
• Johnson&Johnson
• Koninklijke Philips N.V.
• General Vision Services
• Cloudmex Inc.
• Oncora Medical, Inc.
• Anju Life Sciences Software
• CareSkore, Inc.
• Linguamatics
• Enlitic, Inc.
• Lunit Inc.
Regional Segmentation
On the basis of region, the AI in healthcare market is segmented into North America, Europe, Asia Pacific, Latin America, Middle East, and Africa.
MMC Overview on AI in Healthcare Market Report
The non-identical approach of Meridian Market Consultants stands with conceptual methods backed up with the data analysis. The novel market understanding approach makes up the standard of the assessment results that give a better opportunity for the customers to put their effort.
A research report on the AI in Healthcare market by Meridian Market Consultants is an in-depth and extensive study of the market based on the necessary data crunching and statistical analysis. It provides a brief view of the dynamics flowing through the market, which includes the factors that supports market and the factors that are acting as impedance for the growth of the market.
Furthermore, the report includes the various trends and opportunities in the respective market in different regions for a better understanding of readers that helps to analyze the potential of the market.
Factors that are benchmarked while estimating the market
Various factors that are benchmarked while estimating the market growth include (but not restricted to):
• New product designs and launches
• Current product compliance
• Reimbursement
• Concerns for use of AI in Healthcare
• Advantage of AI in Healthcare
Actions taken by the manufacturer and respective regulatory authorities also impact the market growth of the segment. These factors are understood at regional level and in major countries globally for providing regional insights of the product segment in the report. This helps our clients to take informed decision.
A mix of top-down and bottom-up approach is followed to arrive and validate our market value estimations. For a product segment like wherein one/two manufacturer(s) dominates the market, it’s product sales, previous growth rates and market expansion plans are considered to generate market share in the global market.
1. Global AI in Healthcare Market Report Overview
1.1. Introduction
1.2. Report Description
1.3. Methodology
2. Global AI in Healthcare Market Overview
2.1. Introduction
2.1.1. Market Definition
2.1.2. Market Taxonomy
2.2. Executive Summary
2.3. Global AI in Healthcare Market Snapshot
2.4. Global AI in Healthcare Market Size and Forecast, 2020–2028
2.4.1. Introduction
2.4.2. Market Value Forecast and Annual Growth Rate (AGR) Comparison (2020–2028)
2.5. Global AI in Healthcare Market Dynamics
2.5.1. Drivers
2.5.2. Restraints
2.5.3. Opportunity
2.5.4. Trends
2.6. Key Regulations
2.7. Porter’s Five Forces Model
3. Global AI in Healthcare Market, By Offering
3.1. Introduction
3.1.1. Annual Growth Rate Comparison, By Offering
3.1.2. BPS Analysis, By Offering
3.2. Market Revenue (US$Mn) Forecast, By Offering
3.2.1. Hardware
3.2.2. Software
3.2.3. Services
3.3. Global AI in Healthcare Market Attractiveness Index, By Offering
4. Global AI in Healthcare Market, By Technology
4.1. Introduction
4.1.1. Annual Growth Rate Comparison, By Technology
4.1.2. BPS Analysis, By Technology
4.2. Market Revenue (US$Mn) Forecast, By Technology
4.2.1. Machine Learning
4.2.2. NLP
4.2.3. Context-Aware Computing
4.2.4. Computer Vision
5. Global AI in Healthcare Market, By Region
5.1. Introduction
5.1.1. Annual Growth Rate Comparison, By Region
5.1.2. BPS Analysis, By Region
5.2. Market Revenue (US$Mn) Forecast, By Region
5.2.1. North America
5.2.2. Latin America
5.2.3. Europe
5.2.4. Asia Pacific
5.2.5. Middle East
5.2.6. Africa
5.3. Global AI in Healthcare Market Attractiveness Index, By Region
6. North America AI in Healthcare Market Analysis and Forecast, 2020–2028
6.1. Introduction
6.1.1. Annual Growth Rate Comparison, By Country
6.1.2. BPS Analysis, By Country
6.2. Market Revenue (US$Mn) Forecast, By Country
6.2.1. U.S. AI in Healthcare Market
6.2.2. Canada AI in Healthcare Market
6.3. North America AI in Healthcare Market, By Offering
6.3.1. Hardware
6.3.2. Software
6.3.3. Services
6.4. North America AI in Healthcare Market, By Technology
6.4.1. Machine Learning
6.4.2. NLP
6.4.3. Context-Aware Computing
6.4.4. Computer Vision
6.5. North America AI in Healthcare Market Attractiveness Index
6.5.1. By Country
6.5.2. By Technology
6.5.3. By Offering
7. Latin America AI in Healthcare Market Analysis and Forecast, 2020–2028
7.1. Introduction
7.1.1. Annual Growth Rate Comparison, By Country
7.1.2. BPS Analysis, By Country
7.2. Market (US$Mn) Forecast, By Country
7.2.1. Brazil AI in Healthcare Market
7.2.2. Mexico AI in Healthcare Market
7.2.3. Argentina AI in Healthcare Market
7.2.4. Rest of Latin America AI in Healthcare Market
7.3. Latin America AI in Healthcare Market, By Offering
7.3.1. Hardware
7.3.2. Software
7.3.3. Services
7.4. Latin America AI in Healthcare Market, By Technology
7.4.1. Machine Learning
7.4.2. NLP
7.4.3. Context-Aware Computing
7.4.4. Computer Vision
7.5. Latin America AI in Healthcare Market Attractiveness Index
7.5.1. By Country
7.5.2. By Technology
7.5.3. By Offering
8. Europe AI in Healthcare Market Analysis and Forecast, 2020–2028
8.1. Introduction
8.1.1. Annual Growth Rate Comparison, By Country
8.1.2. BPS Analysis, By Country
8.2. Market (US$Mn) Forecast, By Country
8.2.1. U.K. AI in Healthcare Market
8.2.2. Germany AI in Healthcare Market
8.2.3. Italy AI in Healthcare Market
8.2.4. France AI in Healthcare Market
8.2.5. Spain AI in Healthcare Market
8.2.6. Russia AI in Healthcare Market
8.2.7. Poland AI in Healthcare Market
8.2.8. BENELUX AI in Healthcare Market
8.2.9. NORDIC AI in Healthcare Market
8.2.10. Rest of Europe AI in Healthcare Market
8.3. Europe AI in Healthcare Market, By Offering
8.3.1. Hardware
8.3.2. Software
8.3.3. Services
8.4. Europe AI in Healthcare Market, By Technology
8.4.1. Machine Learning
8.4.2. NLP
8.4.3. Context-Aware Computing
8.4.4. Computer Vision
8.5. Europe AI in Healthcare Market Attractiveness Index
8.5.1. By Country
8.5.2. By Technology
8.5.3. By Offering
9. Asia Pacific AI in Healthcare Market Analysis and Forecast, 2020–2028
9.1. Introduction
9.1.1. Annual Growth Rate Comparison, By Country
9.1.2. BPS Analysis, By Country
9.2. Market (US$Mn) Forecast, By Country
9.2.1. China AI in Healthcare Market
9.2.2. India AI in Healthcare Market
9.2.3. Japan AI in Healthcare Market
9.2.4. Australia and New Zealand AI in Healthcare Market
9.2.5. South Korea AI in Healthcare Market
9.2.6. ASEAN AI in Healthcare Market
9.2.7. Rest of Asia Pacific AI in Healthcare Market
9.3. Asia Pacific AI in Healthcare Market, By Offering
9.3.1. Hardware
9.3.2. Software
9.3.3. Services
9.4. Asia Pacific AI in Healthcare Market, By Technology
9.4.1. Machine Learning
9.4.2. NLP
9.4.3. Context-Aware Computing
9.4.4. Computer Vision
9.5. Asia Pacific AI in Healthcare Market Attractiveness Index
9.5.1. By Country
9.5.2. By Offering
10. Middle East AI in Healthcare Market, By Region
10.1. Introduction
10.1.1. Annual Growth Rate Comparison, By Country
10.1.2. BPS Analysis, By Country
10.2. Market (US$Mn) Forecast, By Country
10.2.1. GCC Countries AI in Healthcare Market
10.2.2. Israel AI in Healthcare Market
10.2.3. Oman AI in Healthcare Market
10.2.4. Rest of Middle East AI in Healthcare Market
10.3. Middle East AI in Healthcare Market, By Offering
10.3.1. Hardware
10.3.2. Software
10.3.3. Services
10.4. Middle East AI in Healthcare Market, By Technology
10.4.1. Machine Learning
10.4.2. NLP
10.4.3. Context-Aware Computing
10.4.4. Computer Vision
10.5. Middle East AI in Healthcare Market Attractiveness Index
10.5.1. By Country
10.5.2. By Technology
10.5.3. By Offering
11. Africa AI in Healthcare Market, By Region
11.1. Introduction
11.1.1. Annual Growth Rate Comparison, By Country
11.1.2. BPS Analysis, By Country
11.2. Market (US$Mn) Forecast, By Country
11.2.1. South Africa AI in Healthcare Market
11.2.2. Egypt AI in Healthcare Market
11.2.3. North Africa AI in Healthcare Market
11.2.4. Rest of Africa AI in Healthcare Market
11.3. Africa AI in Healthcare Market, By Offering
11.3.1. Hardware
11.3.2. Software
11.3.3. Services
11.4. Africa AI in Healthcare Market, By Technology
11.4.1. Machine Learning
11.4.2. NLP
11.4.3. Context-Aware Computing
11.4.4. Computer Vision
11.5. Africa AI in Healthcare Market Attractiveness Index
11.5.1. By Country
11.5.2. By Technology
11.5.3. By Offering
12. Recommendation
12.1. Market Strategy
13. Competitive Landscape
13.1. Competition Dashboard
13.2. List and Company Overview of Global Key Players
13.3. Company Profiles
13.3.1. NVIDIA Corporation
13.3.1.1. Company Overview
13.3.1.2. Financial Overview
13.3.1.3. Product Portfolio
13.3.1.4. Key Developments
13.3.1.5. Business Strategies
13.3.2. Intel Corporation
13.3.3. IBM Corporation
13.3.4. Google LLC
13.3.5. Microsoft Corporation
13.3.6. Amazon Web Services Inc.
13.3.7. General Vision Inc.
13.3.8. GE Healthcare
13.3.9. Siemens Healthineers GmbH
13.3.10. Medtronic Inc.
14. Acronyms