Robotic Nurses market

Robotic Nurses Market, Global Outlook and Forecast 2022-2028

  • 19 May 2022
  • Life Sciences
  • 72 Pages
  • Report code : PMR-7089238

  • 4.7 (158)

Robotic Nurses Market

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Some medical robots, such as the Dinsow robot in Asia, are designed for elderly care. They set up video chats, medical alerts, and medication reminders for family members. These robots can help reduce the number of hospital visits and keep the elderly independent for longer. As the population ages, in countries such as Japan and the United States, we are facing greater medical staffing issues, and robots can help ensure that patients continue to receive quality care. Using robots to complete simple tasks can also help hospitals cut costs, reduce waste and simplify processes.
Nurses will always be an important part of providing quality care. Robots simply do not have the empathy, creativity and adaptability that our hardworking nurses in the medical system have. But robot nurses can lend a helping hand, allowing human nurses to focus on the important work of caring for patients.
Robotic Nurses Market contains market size and forecasts of Robotic Nurses in global, including the following market information:

  • Global Robotic Nurses Market Revenue, 2017-2022, 2023-2028, ($ millions)
  • Global Robotic Nurses Market Sales, 2017-2022, 2023-2028, (K Units)
  • Global top five Robotic Nurses companies in 2021 (%)

The global Robotic Nurses market was valued at million in 2021 and is projected to reach US$ million by 2028, at a CAGR of % during the forecast period.
The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.
Surgical Robot Segment to Reach $ Million by 2028, with a % CAGR in next six years.
The global key manufacturers of Robotic Nurses include Diligent Robotics, ABB, Hstar Technologies, Toyota Motor Corporation, CT Asia Robotics, SoftBank Robotics, Panasonic, Fraunhofer IPA and Aethon. etc. In 2021, the global top five players have a share approximately % in terms of revenue.
We surveyed the Robotic Nurses manufacturers, suppliers, distributors and industry experts on this industry, involving the sales, revenue, demand, price change, product type, recent development and plan, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Robotic Nurses Market, by Type, 2017-2022, 2023-2028 ($ Millions) & (K Units)
Global Robotic Nurses Market Segment Percentages, by Type, 2021 (%)

  • Surgical Robot
  • Rehabilitation Robot
  • Pharmacy Automation Robot
  • Other

Global Robotic Nurses Market, by Application, 2017-2022, 2023-2028 ($ Millions) & (K Units)
Global Robotic Nurses Market Segment Percentages, by Application, 2021 (%)

  • Hospital
  • Clinic
  • Nursing Center
  • Nursing Home
  • Other

Global Robotic Nurses Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions) & (K Units)
Global Robotic Nurses Market Segment Percentages, By Region and Country, 2021 (%)

  • North America
  • US
  • Canada
  • Mexico
  • Europe
  • Germany
  • France
  • U.K.
  • Italy
  • Russia
  • Nordic Countries
  • Benelux
  • Rest of Europe
  • Asia
  • China
  • Japan
  • South Korea
  • Southeast Asia
  • India
  • Rest of Asia
  • South America
  • Brazil
  • Argentina
  • Rest of South America
  • Middle East & Africa
  • Turkey
  • Israel
  • Saudi Arabia
  • UAE
  • Rest of Middle East & Africa

Competitor Analysis
The report also provides analysis of leading market participants including:

  • Key companies Robotic Nurses revenues in global market, 2017-2022 (Estimated), ($ millions)
  • Key companies Robotic Nurses revenues share in global market, 2021 (%)
  • Key companies Robotic Nurses sales in global market, 2017-2022 (Estimated), (K Units)
  • Key companies Robotic Nurses sales share in global market, 2021 (%)

Further, the report presents profiles of competitors in the market, key players include:

  • Diligent Robotics
  • ABB
  • Hstar Technologies
  • Toyota Motor Corporation
  • CT Asia Robotics
  • SoftBank Robotics
  • Panasonic
  • Fraunhofer IPA
  • Aethon

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