DUBLIN–(BUSINESS WIRE)–Report “Quantified Self in Healthcare Market by Technology, Devices and Applications 2022 – 2027” has been added to from ResearchAndMarkets.com offer.
This research provides an assessment of the Connected Healthcare Market including growth drivers, value chain, vendor analysis, and quantitative assessment of the industry from 2022 to 2027.
The report also assesses the quantified autonomy market, including wearable technology, analytics, and many other areas. The report also assesses the market outlook for all major IoT-enabled connected health applications and services.
Select report results:
Nearly 25% of healthcare diagnostics by volume will involve quantified solutions by 2027
NFC used in conjunction with quantified-self in healthcare will reach $44.8 billion worldwide by 2027
Adoption of wearable healthcare devices for health and wellness is increasing rapidly due to COVID-19
Chipsets Used In Conjunction With Healthcare In IoT For Quantified Health To Hit $5.3 Billion By 2027
Global telemedicine will reach $144.3 billion by 2027, driving a boom in do-it-yourself diagnostic solutions
The term “quantified self” refers to the incorporation of technology in acquiring data about aspects of a person’s daily life. When it comes to healthcare, self-quantification technologies can be a powerful do-it-yourself (DIY) tool for consumers as well as a very important add-on for healthcare service providers. The benefits of the solution include reduced costs for healthcare providers and positive incentives for insurance companies to maintain more affordable rates for consumers.
Additionally, a positive feedback loop is often established and maintained as end users become more aware of the impact of lifestyle choices on health. Consumers are also becoming more conscientious about maintaining gains made through daily movement, diet, and other lifestyle changes.
Comprised of general-purpose smart wearables as well as purpose-built medical devices, the connected health and self-monitoring market is highly dependent on Internet of Things (IoT) systems for communication and control.
Another critical element is the ability to handle unstructured data. As a result, advanced data analytics tools, along with artificial intelligence algorithms, enable prediction, alerting, and corrective and proactive action by end users and healthcare service providers.
Main topics covered:
1.0 Executive Summary
2.1 Internet of Health Things
2.2 Contract research organizations
2.3 Contact the sales organization
2.4 Preclinical and clinical trials
2.5 Healthcare IoT Adoption
2.6 SWOT Analysis
220.127.116.11 Broadband Connectivity Technologies
18.104.22.168 Proliferation of smart connected devices
22.214.171.124 Remote Patient Monitoring
126.96.36.199 Improved healthcare IT infrastructure
188.8.131.52 Government initiatives
184.108.40.206 Improving health service outcomes
220.127.116.11 Reduced health service costs
18.104.22.168 Home health technologies
22.214.171.124 Use of smart sensors
126.96.36.199 Broadband wireless and enabling technology
188.8.131.52 Smart City, Big Data and connected software
184.108.40.206 Connected devices in the healthcare sector
220.127.116.11 Adoption of remote patient monitoring
18.104.22.168 Software and component solution
22.214.171.124 Consumer Driven Healthcare Solution
2.6.3 Weaknesses and threats
126.96.36.199 Absence of government regulations and standards
188.8.131.52 Confidentiality and data security
184.108.40.206 Lack of medical data and analytical skills
220.127.116.11 Lack of data-driven healthcare leadership
18.104.22.168 Lack of interoperability and integration
2.7 Value chain analysis
2.8 Regulatory scenario
3.0 Technology and Application Analysis
3.1 Health Internet of Things Technologies
3.2 Wearable mobile health device
3.3 Implantable medical technologies
3.4 Connected Health Market Segment
3.5 IoHT Application Scenarios
3.6 IoHT End User Groups
3.7 IoHT Competitive Landscape
3.8 Regional Market Analysis and Adoption Trends
3.9 Role of AI technology
3.10 Microchip Technology
3.11 Patient monitoring systems
3.12 Medical diagnostic imaging and radiology
3.13 3D printing
4.0 Self Quantified in Healthcare Business Analysis
4.1 Healthcare infrastructure business
4.1.1 Medtronic APIs
4.1.2 Koninklijke Philips NV
4.1.3 Cisco Systems Inc.
4.1.4 IBM Corporation
4.1.5 GE Health
4.1.6 Microsoft Corporation
4.1.7 SAP OS
4.1.8 Qualcomm Life Inc.
4.1.9 Honeywell Life Care Solutions
4.1.10 Stanley Healthcare
4.1.11 Cerner Company
4.1.12 Proteus Digital Health
4.1.13 AdhereTech Inc.
4.1.15 Future Path Medical Holding Company LLC
4.1.16 Aerocrine AB
4.1.18 Diabetizer GmbH & Co. KG
4.1.19 Apple Inc.
4.1.20 Abbott Laboratories
4.2 Healthcare CRO Company
4.2.1 Quintiles IMS Holdings, Inc.
4.2.2 Covance Inc.
4.2.3 LLC Pharmaceuticals Development
4.2.4 PAREXEL International Corp.
4.2.5 Charles River Laboratories Inc.
4.2.6 Plc ICON.
4.2.7 inVentiv Health Inc.
4.2.8 Medidata solutions
4.2.9 Theorem Clinical Research Inc.
4.3 Healthcare IoT Startups
4.3.1 Clinical Service Providers
4.3.2 Wearable Sensors and Solution Suppliers
4.3.3 Monitoring Solution Provider
5.0 Quantified Self in Healthcare Market Analysis and Forecast 2022-2027
5.1 Global IoT Quantified Self Market 2022-2027
5.2 Quantified Regional Autonomous IoT Market 2022-2027
5.3 Global Deployment of Quantified IoT Autonomous Devices 2022-2027
6.0 Conclusions and Recommendations
6.1 Advertisers and media companies
6.2 Artificial Intelligence Suppliers
6.3 Smart Pills Suppliers
6.4 Broadband infrastructure providers
6.5 Communication Service Providers
6.6 Computer companies
6.7 Data analytics providers
6.8 Suppliers of medical devices and equipment
6.9 Networking Equipment Suppliers
6.10 Network Security Providers
6.11 Semiconductor companies
6.12 IoHT Providers and Service Providers
6.13 Software Suppliers
6.14 Smart City System Integrators
6.15 Pharmaceuticals, hospitals and clinics
6.16 Smart Workplace Solution Providers
6.17 Business and government
For more information about this report visit https://www.researchandmarkets.com/r/he07hh