This report provides Transforma Insights’ view on the Personal Assistance Robots market. The Application Group comprises a variety of categories of fully autonomous machines that undertake a diverse set of use cases, including Monitoring (e.g. Boston Dynamics’ Spot robots for industrial inspections and Amazon Astro for home security monitoring), Social Interaction (e.g. Telepresence robots by Ava and Ohmni Labs), Cleaning and Maintenance (e.g. Husqvarna’s Automowers for robotic lawn mowing, Roomba by iRobot and Deebot-N30 by Ecovacs for indoor cleaning), Gofor (e.g. Relay Delivery Robots and Moxi robots by Diligent Robotics.), Efficiency (e.g. Apptronik's Apollo and Scorpion, a robot bartender by Richtech Robotics), and Assisted Living (e.g. automated Zimmer frames and trolleys) and companionship robots (e.g. Sony’s robotic pet ‘Aido’).
Personal Assistance Robots have risen to prominence primarily owing to the convergence of technological improvements and societal needs. Progress in artificial intelligence, natural language processing, and robotics has resulted in robots that are increasingly capable of communication and performing an ever-wider variety of tasks. Ageing populations and increasingly busy lifestyles have increased the demand for solutions that can provide support for household tasks, companionship, and healthcare assistance. High wages in many developed nations have also resulted in a situation where robots can offer much greater efficiency when replacing or assisting human workers. Consequently, Personal Assistance Robots have begun to emerge as valuable companions and assistants, providing efficiency and convenience in a variety of use cases.
The report provides a detailed definition of the sector, an analysis of market development and profiles of the key vendors in the space. It also provides a summary of the current status of adoption and Transforma Insights’ ten-year forecasts for the market. The forecasts include analysis of the number of IoT connections by geography, the technologies used (including splits by 2G, 3G, 4G, 5G, LPWA, short range, satellite and others), as well as the revenue split between module, value-added connectivity and services. A full set of forecast data, including country-level forecasts, sector break-downs and public/private network splits, is available through the IoT Forecast tool.
The report examines key factors that are influencing the development of the market, including:
This section of the report explains what Personal Assistance Robots are: robots that are used to assist humans with their routine activities and chores to enhance efficiency and effectiveness. It has been further categorised into the following subsections:
This subsection charts the development of these robots, right from the prototype stage (without any specific application within the market) to the development of an array of specialised robots which can address multiple challenges across various settings. It also explains how cost has been a barrier towards the domestic adoption of these devices, and how this situation is gradually changing owing to a combination of decreasing cost and increasing efficiency of these devices.
This subsection explains how extensive research and development in technologies, commercialisation of lithium batteries, and the growth and availability of other IoT devices are resulting in falling costs and increased specialisation of these devices.
This subsection explains how these devices will be more beneficial to developed countries with higher levels of disposable income but not to countries where wages are lower. For instance, as per the Statistics Bureau of Japan, as of July 2026, 29.5% of its population was aged 65 years or more, and therefore, in such countries, robots would not only help cope with the lack of human population but also improve efficiency.
It discusses the challenges these devices face, such as requiring permission for mass surveillance/privacy violations (since many of them have to use cameras in public places). Besides, Governments may be wary of procuring robotic devices from foreign suppliers for multiple reasons, including exposure to external political influence.
This section first claims that basic robots vacuum cleaners (like ILIFE V3s Pro) do not need connectivity; however, it adds that connectivity is important for purposes like processing information and analysing scenarios. It then adds that most robots (both consumer and enterprise) use Wi-Fi connectivity within an indoor environment and cellular connectivity for outdoor activities.
This section focuses on personal assistance robots (including automated security guards or mobile security cameras and sensor suites) that are used for surveillance and security in commercial and domestic settings. It then discusses their benefits (like improving the quality of remote security solutions) and explains how they can prove to be much cheaper when compared to human security solutions, especially in countries with high wages. It then explores CCTV monitoring as a competitive solution to security robots and mentions its disadvantages over security robots. For instance, setting up CCTV monitoring systems over an extended area is expensive, and they lack the advanced features of security robots. Following CCTVs, this section explores home security robots (like Moorebot Scout), talks about their features (like light sources to monitor dark areas), connectivity technologies, and their benefits (like tracking devices and receiving continuous monitoring updates). This section also provides a few examples of relevant IoT deployments in this application, like China’s UBTech Robotics supplying patrolling robots in China’s Guangxi border crossings.
This section discusses telepresence robots, their usage (like virtual interactions with other users), their types (remote-controlled or autonomous), advantages (such as being able to move around and continue talking), and their disadvantages (like being prohibitively expensive). It then discusses the use cases where these robots are mostly adopted (such as for remote education in schools and remote healthcare in hospitals). It also discusses how VR headsets are similar to telepresence robots (in terms of their functionalities) and the difference between them. It also talks about the drawbacks of VR headsets, which make telepresence robots more effective in these contexts. This section also provides a few examples of relevant IoT deployments in this application like Baxter using Ava telepresence robots to support its sales team.
This section describes Cleaning & Maintenance robots (including robots that are used for UV sterilisation, vacuum cleaning, mopping, window cleaning, lawn mowing, and pool cleaning) and their uses (like automating mundane, domestic chores to enhance safety and efficiency).
It also argues that although it is widely believed that the main application of these robots is floor cleaning, this normative application has been challenged since the Covid-19 pandemic. It then traces the increase in their numbers and explains why these robots have played a crucial role in healthcare settings, and talks about how rising labour costs and shortage of workers are also contributing towards their increased adoption.
It also adds that consumer robots account for the bulk of devices in this category and further adds that these robots use AI algorithms for efficient cleaning by optimising the cleaning pattern through data collection of their nearby environments. It also touches upon comparatively simpler robots (like Eufy), which use simple sensors and mapping technologies. It then gives a few examples of relevant IoT deployments in this application, such as Kemco Facilities Services using autonomous cleaning robots in a hospital.
This section of the report discusses robots used for short-distance delivery in public or private facilities and their benefits (like reducing the task of carrying or moving products within defined areas). It observes that while the early variants of these robots struggled to navigate through some facilities, the modern ones have improved significantly. It then explains how personal assistance robots (like Aethon) can significantly reduce the task of carrying or moving products within defined areas (such as hospitals and restaurants). It then provides examples of relevant IoT deployments in this application, such as Hyundai Motor Group and Kia deploying robots at IGIS Asset Management’s ‘Factorial Seongsu’.
This section focuses on robots that either reduce human effort and enhance work efficiency or replace human workers at certain tasks such as cooking and concierge. It then talks about the growing interest in the development of humanoid robots in manufacturing environment; the benefits they could bring (while cautioning about the gap existing between the potential and current reality); as well as the challenges associated with the same (such as the immense R&D costs of replicating human movement and abilities). It also adds that humanoid robots are most likely to gain traction in countries with high wage.
It then talks about exoskeletons that are intended to augment human abilities and explains the functioning of these devices. It also talks about the advantages of using exoskeletons (like reducing physical exertion and likelihood of injuries) and their limitations (such as significant development time). It also provides a few examples of relevant IoT deployments in this application, such as SpartanNash collaborating with Simbe Robotics for in-store inventory management.
This section first provides with a general description of Assisted Living robots and then lists what it includes: zimmer frames, automated trolleys for the elderly, robot pets, and social support robots. It then talks about their features (like many of these robots having lidar sensors, multi-function arms, and communication equipment). It then explains how these devices will become increasingly vital in regions with ageing populations, although their deployment has been slow till now. It then talks about the schemes that have been introduced to address the issue of ageing population in this context. Case in point, EU’s ‘Gatekeeper’ project aims to develop novel solutions to ensure healthy and independent lives for the ageing population.
It then focuses on robot pets and social support robots, talks about their purpose (like preventing mental illnesses), and explains how these devices will be increasingly used for companionship, particularly for the elderly and the vulnerable. This section also lists a few relevant IoT deployments in this application, like the Beijing Economic Technological Development Area opening a robotic based centre for the elderly.
The key vendors section lists some of the main providers of products and services related to the market, such as Relay Robotics, Boston Dynamics, Husqvarna, iRobot, Ohmni Labs, Ava Robotics, Ekso Bionics, Aethon Robotics, and Sony. The report provides profiles of the various vendors including aspects most relevant to this Application Group, such as product offerings, pricing, financial results, and technology.
In the market forecasts section, we provide a summary of the forecasts from the Transforma Insights IoT Forecast Database:
The report charts the growth in the number of devices, which will grow from which will grow from 90 million in 2025 to 461.5 million in 2035. Transforma Insights forecasts are compiled on a country-by-country basis. This report includes a regional summary, showing splits between Australasia, Greater China, North America, Europe, Japan, Latin America, MENA, Russia & Central Asia, South East Asia, South Korea, India & South Asia, and Sub-Saharan Africa.
Transforma Insights’ IoT forecasts include splits between the various connectivity technologies as follows: 2G, 3G, 4G, 5G mMTC, 5G non-mMTC, LPWA (non-mMTC), Satellite, Short Range, and Other.
This section discusses which technologies will be used in the personal assistance robots application group.
This part of the report discusses the market growth in terms of revenue (module revenue, service wrap revenue, and VAC revenue). Transforma Insights estimates that the revenue in the Personal Assistance Robots Application Group will grow at a CAGR of 19%.
