Patient Engagement/Monitoring

Worldwide AI in Remote Patient Monitoring Industry to 2026

Artificial Intelligence

The “Artificial Intelligence In Remote Patient Monitoring Market Research Report by Product, by Solution, by Technology, by Application, by Region – Global Forecast to 2026 – Cumulative Impact of COVID-19″ report has been added to ResearchAndMarkets.com’s offering.

The Global Artificial Intelligence In Remote Patient Monitoring Market size was estimated at USD 712.67 million in 2020 and expected to reach USD 892.99 million in 2021, at a CAGR 25.63% to reach USD 2,803.19 million by 2026.

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence In Remote Patient Monitoring Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players

2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets

3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments

4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players

5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Artificial Intelligence In Remote Patient Monitoring Market?

2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence In Remote Patient Monitoring Market during the forecast period?

3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence In Remote Patient Monitoring Market?

4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence In Remote Patient Monitoring Market?

5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence In Remote Patient Monitoring Market?

6. What is the market share of the leading vendors in the Global Artificial Intelligence In Remote Patient Monitoring Market?

7. What modes and strategic moves are considered suitable for entering the Global Artificial Intelligence In Remote Patient Monitoring Market?

Market Dynamics

Drivers

  • ICT infrastructure development in developing countries
  • Rise in adoption of AI in remote patient monitoring due to real time monitoring and improved patient engagement
  • Growth in demand due to optimizing management and lower human errors

Restraints

  • Lack of awareness in remote areas
  • Expensive as compared to traditional facilities

Opportunities

  • Rapid digitalization and extensive use of social media of consumer
  • Shift in trend towards wearable technology

Challenges

  • Increasing concern related to cybersecurity and privacy

Companies Mentioned

  • 100 Plus
  • AiCure
  • Binah.ai
  • Biofourmis
  • Cardiomo
  • ChroniSense Medical
  • ContinUse Biometrics (Cu-Bx)
  • Current Health
  • Ejenta
  • Eko
  • Engagely.ai
  • Feebris
  • GYANT
  • iHealth
  • Medical Device + Diagnostic Industry (MD+DI)
  • Medopad
  • Myia
  • Neoteryx, LLC
  • Neteera
  • Tech Vedika
  • ten3T Healthcare
  • Vitls

For more such updates and perspectives around Digital Innovation, IoT, Data Infrastructure, AI & Cybersecurity, go to AI-Techpark.com.

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