Robotic Nurse Assistant Market

The global robotic nurse assistant market is projected to reach USD 2,909.3 million by 2030 from an estimated USD 748.4 million in 2022, at a CAGR of 18.5%.

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The robotic nurse assistant market is mainly driven by factors such as technological advancement in robotics, growing geriatric population, human resource understaffing, and growing need to improve the quality of nursing care and reduce workload in healthcare facilities. However, high-costs associated with the robots, are expected to restrain the growth of this market to a certain extent in the coming years.

The robotic nurse assistant market is segmented by type, end user, and region. The key players operating in the market include Hstar Technologies (US), Diligent Robotics (US), Toyota Motor Corporation (Japan), RIKEN-SRK (Japan), SoftBank Robotics (Japan), Panasonic (Japan), Fraunhofer IPA (Germany), PARO Robots (US), Aethon (US), CloundMinds (China), PALRO (Japan), Techmetics Robotics (US), Gecko Systems International Corporation (US), JoiceCare AB (Sweden), and OrionStar Technology Co. (China) among others.

This study involved the extensive use of both primary and secondary sources. The research process involved the study of various factors affecting the industry to identify the segmentation types, key players, competitive landscape, key market dynamics, and key player strategies.

Secondary Research

The secondary research process involved the widespread use of secondary sources, directories, databases (such as Bloomberg Businessweek, Factiva, and D&B Hoovers), white papers, annual reports, company house documents, investor presentations, and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and commercial study of the robotic nurse assistant market. It was also used to obtain important information about the key players and market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives. A database of the key industry leaders was also prepared using secondary research.

Primary Research

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include industry experts such as CEOs, vice presidents, marketing and sales directors, technology & innovation directors, and related key executives from various key companies and organizations operating in the robotic nurse assistant market. The primary sources from the demand side included industry experts, purchase & sales managers, doctors, and personnel from hospitals & elderly care facilities. Primary research was conducted to validate the market segmentation, identify key players in the market, and gather insights on key industry trends and key market dynamics.

A breakdown of the primary respondents for the robotic nurse assistant market is provided below:

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Market Size Estimation

The total size of the robotic nurse assistant market was arrived at after data triangulation from the following approaches:

Approach to calculate the revenue of different players in the robotic nurse assistant market:

The size of the global robotic nurse assistant market was obtained from annual reports, SEC filings, online publications, and extensive primary interviews. A percentage split was applied to arrive at the size of market segments. Further splits were applied to arrive at the size for each sub-segment. These percentage splits were validated by primary participants. The country-level market sizes obtained from the annual reports, SEC filings, online publications, and extensive primary interviews were added up to reach the total market size for regions. By adding up the market sizes for all the regions, the global robotic nurse assistant market was derived.

Approach to derive the market size and estimate market growth:

The market size and market growth were estimated through primary interviews on a regional and global level. All responses were collated, and a weighted average was taken to derive a probabilistic estimate of the market size and growth rate.

Data Triangulation

After arriving at the overall market size—using the market size estimation processes explained above—the market was split into several segments and sub-segments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, the data triangulation, and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends from both the demand and supply sides.

Objectives of the Study

• To define, describe, and forecast the robotic nurse assistant market by type, end user, and region
• To provide detailed information regarding the major factors influencing the market growth (drivers, restraints, opportunities, and challenges)
• To analyze the micromarkets with respect to individual growth trends, prospects, and contributions to the overall market
• To forecast the size of the robotic nurse assistant market with respect to five major regions, namely, North America, Europe, the Asia Pacific, Latin America, and the Middle East & Africa
• To analyze the opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
• To profile key players in the robotic nurse assistant market as well as comprehensively analyze their core competencies
• To track and analyze competitive developments such as product launches, acquisitions, expansions; as well as collaborations, agreements, and partnerships of the leading players in the robotic nurse assistant market

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Scope of the Report

:

Report Metric	Details
Market size available for years	2020–2030
Base year considered	2021
Forecast period	2022–2030
Forecast units	Value (USD)
Segments covered	Type, End User and Region
Geographies covered	North America (US & Canada), Europe (Germany, UK, France, Italy, Spain, and RoE), APAC (Japan, China, India, and the RoAPAC), LATAM, and MEA
Companies covered	Hstar Technologies (US), Diligent Robotics (US), Toyota Motor Corporation (Japan), RIKEN-SRK (Japan), SoftBank Robotics (Japan), Panasonic (Japan), Fraunhofer IPA (Germany), PARO Robots (US), Aethon (US), CloundMinds (China), PALRO (Japan), Techmetics Robotics (US), Gecko Systems International Corporation (US), JoiceCare AB (Sweden), and OrionStar Technology Co. (China) among others

The research report categorizes the robotic nurse assistant market into the following segments and subsegments:

Type

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

End User

• Hospitals & Clinics
• Elderly Care Facilities
• Homecare Settings

Region

• North America
  • The US
  • Canada
• Europe
  • Germany
  • France
  • The UK
  • Italy
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Rest of Asia Pacific
• Latin America
• Middle East & Africa

Available Customizations:

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

PRODUCT ANALYSIS

• Product Matrix, which gives a detailed comparison of the product portfolios of the top five global players

GEOGRAPHIC ANALYSIS

• Further breakdown of the Rest of Europe’s robotic nurse assistant market into Russia, Portugal, Belgium, Denmark, Switzerland, and other European countries (aggregated)

COMPANY INFORMATION

• Detailed analysis and profiling of additional market players (up to 5 OEMs)

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