Global Robotic Nurses Market

Report ID : 1392 | Published : 2022-10-07 | Pages: | Format: PDF/EXCEL

The market size of the Global Robotic Nurses Market in the year 2021 is valued at 594.14 million and is predicted to reach 2336.29 million by the year 2030 at an 16.63% CAGR during the forecast period.

Robotic nurses assist patients with mobility and perform essential duties like taking vital signs and giving medication. Robotic nurses act as a link between medical professionals and patients over long distances. These robotic nurses perform everyday tasks for elderly and disabled patients, converse with them, keep an eye on them, and collect patient records, among other things. Robotic nurse assistants are in more demand as the old global population rises and is used for various daily chores. The need for robotic nurses is also anticipated to expand in the following years due to significant technological breakthroughs and a more excellent investment in healthcare robotics research. The demand for robotic nurses is also expected to grow in the coming years due to significant technological advancements and increased research for healthcare robotics.

Increased funding and grants for creating nursing assistance robots that can successfully carry out a nurse's daily tasks are other factors fueling the need for robotic nurses. Robotic nurses are in greater demand than ever, but their higher costs limit the market's expansion. Additional variable costs include employee training, maintenance, and work process reorganization. Additionally, the market's development is being constrained by worries about the safety and security of these robots.

Market Segmentation:

The Robotic Nurses market is segmented into product type, treatment type and end-user. Based on product type, the market is segmented into Autonomous Mobile Robots, Independence Support Robots and Daily Care & Transportation Robots. Based on the treatment type, the Robotic Nurses are segmented into Homecare Settings, Senior Care Facilities and Hospitals & Clinics. Based on end-user, the market is segmented into Hospitals, Specialty Clinics, Ambulatory care Settings and Research Organizations.

Based on product type, the independent support robots segment is accounted as a major contributor to the Robotic Nurses market.

Independence support robots dominated the market in terms of revenue. As these robots are extremely helpful in caring for such patients, the market expansion is being fueled by an increase in the number of disabled individuals and the proportion of older people suffering from chronic diseases. Additionally, these robots can complete human duties faster and more accurately than humans, and this is beneficially assisting the market's expansion. During the forecast period, the daily care and transportation robots segment is anticipated to grow faster. These robots process hospital workflow independently, improving the healthcare industry's caliber and output.

The Homecare settings segment witnessed growth at a rapid rate.

In homecare settings, robotic nurses are frequently utilized so that seniors can live peacefully in their own homes rather than depend on pricy hospitals and nursing homes. These robotic aides handle routine chores like checking blood pressure and sugar levels. Robotic nurses are also expected to increase the effectiveness and caliber of the care provided by nurses and other professional staff, which will impact market expansion.

The North American Robotic Nurses market holds a significant regional revenue share.

The North American Robotic Nurses market is expected to register the highest market share in revenue in the near future due to rising demand for technologically improved nursing care and increasing healthcare spending. In North America, a growing senior population is also anticipated to support market expansion. The latest technological developments are made to preserve the nurse-to-patient ratio, which promotes regional growth due to the region's concentration of essential businesses and their significant R&D spending, the robotic nurse market. In addition, Asia Pacific is projected to proliferate in the global Robotic Nurses market. Due to its growing investment in the service robotics sector, Japan is regarded as the country that contributes the most money to the whole regional market. Over the upcoming years, it is expected that Japanese expenditure will continue to rise tremendously. It is anticipated that Japan's ageing population will have a beneficial impact on market expansion.

Competitive Landscape

The primary competitors in the market for Robotic Nurses have shifted their attention toward product manufacturing and are implementing significant strategies such as mergers, acquisitions, and joint ventures of major and domestic players in order to expand their product portfolio and strengthen their presence in the global market. Some major key players in the Robotic Nurses market are Hstar Technologies, Diligent Robotics, Toyota Motor Corporation, RIKEN-SRK, SoftBank Robotics, Panasonic, Fraunhofer IPA, Aethon, and other prominent players.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Robotic Nurses Market Snapshot

Chapter 4. Global Robotic Nurses Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Product Type Estimates & Trend Analysis

5.1. by Product Type & Market Share, 2019 & 2030

5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by Product Type:

5.2.1. Autonomous Mobile Robots

5.2.2. Independence Support Robots

5.2.3. Daily Care & Transportation Robots

Chapter 6. Market Segmentation 2: by Treatment Type Estimates & Trend Analysis

6.1. by Treatment Type & Market Share, 2019 & 2030

6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by Treatment Type:

6.2.1. Homecare Settings

6.2.2. Senior Care Facilities

6.2.3. Hospitals & Clinics

Chapter 7. Market Segmentation 3: by End-user Estimates & Trend Analysis

7.1. by End-user & Market Share, 2019 & 2030

7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by End-user:

7.2.1. Hospitals

7.2.2. Specialty Clinics

7.2.3. Ambulatory care Settings

7.2.4. Research Organizations

Chapter 8. Robotic Nurses Market Segmentation 4: Regional Estimates & Trend Analysis

8.1. North America

8.1.1. North America Robotic Nurses Market Revenue (US$ Million) Estimates and Forecasts by Product Type, 2022-2030

8.1.2. North America Robotic Nurses Market Revenue (US$ Million) Estimates and Forecasts by Treatment Type, 2022-2030

8.1.3. North America Robotic Nurses Market revenue (US$ Million) by End-user, 2022-2030

8.1.4. North America Robotic Nurses Market Revenue (US$ Million) Estimates and Forecasts by country, 2022-2030

8.2. Europe

8.2.1. Europe Robotic Nurses Market revenue (US$ Million) by Product Type, 2022-2030

8.2.2. Europe Robotic Nurses Market revenue (US$ Million) by Treatment Type, 2022-2030

8.2.3. Europe Robotic Nurses Market revenue (US$ Million) by End-user, 2022-2030

8.2.4. Europe Robotic Nurses Market revenue (US$ Million) by country, 2022-2030

8.3. Asia Pacific

8.3.1. Asia Pacific Robotic Nurses Market revenue (US$ Million) by Product Type, 2022-2030

8.3.2. Asia Pacific Robotic Nurses Market revenue (US$ Million) by Treatment Type, 2022-2030

8.3.3. Asia-Pacific Robotic Nurses Market revenue (US$ Million) by End-user, 2022-2030

8.3.4. Asia Pacific Robotic Nurses Market revenue (US$ Million) by country, 2022-2030

8.4. Latin America

8.4.1. Latin America Robotic Nurses Market revenue (US$ Million) by Product Type, 2022-2030

8.4.2. Latin America Robotic Nurses Market revenue (US$ Million) by Treatment Type, 2022-2030

8.4.3. Latin America Robotic Nurses Market revenue (US$ Million) by End-user, 2022-2030

8.4.4. Latin America Robotic Nurses Market revenue (US$ Million) by country, 2022-2030

8.5. Middle East & Africa

8.5.1. Middle East & Africa Robotic Nurses Market revenue (US$ Million) by Product Type, 2022-2030

8.5.2. Middle East & Africa Robotic Nurses Market revenue (US$ Million) by Treatment Type, 2022-2030

8.5.3. Middle East & Africa Robotic Nurses Market revenue (US$ Million) by End-user, 2022-2030

8.5.4. Middle East & Africa Robotic Nurses Market revenue (US$ Million) by country, 2022-2030

Chapter 9. Competitive Landscape

9.1. Major Mergers and Acquisitions/Strategic Alliances

9.2. Company Profiles

9.2.1. Hstar Technologies

9.2.2. Diligent Robotics

9.2.3. Toyota Motor Corporation

9.2.4. RIKEN-SRK

9.2.5. SoftBank Robotics

9.2.6. Panasonic

9.2.7.Fraunhofer IPA

9.2.8.Aethon

9.2.9. Other Prominent Players

By Product Type-

  • Autonomous Mobile Robots
  • Independence Support Robots
  • Daily Care & Transportation Robots

 By Treatment Type-

  • Homecare Settings
  • Senior Care Facilities
  • Hospitals & Clinics

By End-User-

  • Hospitals
  • Specialty Clinics
  • Ambulatory care Settings
  • Research Organizations

By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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