In the year 2016, the North American AI in medicine market was valued at USD XX million and it is expected to reach a market value of USD XX million by the year 2021, growing at a CAGR of XX during the forecast period (2016-2021).
So far, medicine is the only field wherein, irrespective of all the technological advancements, most processes are still controlled manually. AI can make possible a medical imaging device that not just performs imaging but can also identify any abnormalities in the medical images and identify the target indication without ever needing a radiologist. When AI is integrated into medical solutions, it is known as AI in Medicine.
North America Artificial Intelligence in Medicine-Market Dynamics
Since AI as a whole is in its very early stages of development, currently it cannot perform all the tasks that a doctor or nurse can but it can perform some tasks. Currently, there are some AI-based medical solutions that are available commercially and this report tracks them.
Drivers
Some factors contributing to the growth of the market are:
Restraints
The complicated and often non-existent regulatory guidelines along with concerns regarding overall patient experience and security concerns are hindering the growth of this market.
Opportunities and Challenges
Technology/product simplification is currently a huge opportunity in this market, while the lack of autonomously deployable systems is the major challenge faced by this market.
The AI in medicine market in North America has been segmented on the basis of area of application into medical imaging and diagnostics, wearables, health and lifestyle management, healthcare biotech, insights and risk management, emergency room and hospital monitoring, drug discovery, mental health, virtual assistants and nutrition. Based on geography, this market has been segmented into the United States and Canada.
Some of the key players in the market are:
What the Report Offers
1. Introduction
1.1 Study deliverables
1.2 Market definition
1.3 Sizing units
1.4 Base currency
1.5 Review and forecast period
1.6 General study assumptions
2. Research methodology
2.1 Introduction
2.2 Analysis methodology
2.3 Econometric forecast
2.4 Expert validation
2.5 Study timeline
3. Executive summary
4. Key inferences
5. Market overview and industry trends
5.1 Current market scenario
5.2 Market overview
5.3 New developments
5.4 Porter's Five Forces
5.4.1 Bargaining power of suppliers
5.4.2 Bargaining power of consumers
5.4.3 Threat to new entrants
5.4.4 Threat to substitute products and services
5.4.5 Competitive rivalry within the industry
6. Drivers, restraints, opportunities, and challenges analysis
6.1 Market drivers
6.1.1 Market still in very early stage
6.1.2 Reduced workload and increased patient safety
6.1.3 Huge cost savings
6.1.4 Increasing spectrum of applications
6.2 Market restraints
6.2.1 Complicated and often non-existent regulatory guidelines
6.2.2 Concerns regarding overall patient experience
6.2.3 Security concerns
6.3 Key challenges
6.3.1 Lack of autonomously deployable systems
6.4 Current opportunities in the market
6.4.1 Technology/product simplification
7. Artificial Intelligence in medicine North America market segmentation, by area of application
7.1 Medical imaging and diagnostics
7.2 Wearables
7.3 Health and lifestyle management
7.4 Healthcare biotech
7.5 Insights and risk management
7.6 Emergency room and hospital monitoring
7.7 Drug discovery
7.8 Mental health
7.9 Virtual assistants
7.10 Nutrition
8. Artificial Intelligence in North America medicine market segmentation, by geography
8.1 United States
8.2 Canada
9. Competitive landscape
9.1 Merger and acquisition analysis
9.2 New product launches
9.3 Agreements, collaborations, and partnerships
10. Company profiles
10.1 Atomwise
10.2 IBM Watson Health
10.3 Zebra Medical Vision
10.4 Cyrcadia Health
10.5 AiCure
10.6 Modernizing Medicine
10.7 Sensely
10.8 Lifegraph
10.9 Nuritas
10.10 Medasense
11. Analyst outlook for investment opportunities
12. Future outlook of the market
List of tables