Personal Assistance Robots: Rising robot deployments to drive the global installed base to 462 million by 2035
- Artificial Intelligence
- Autonomous Robotic Systems
- Internet of Things
- Hyperconnectivity
- Assisted Living
- Automated Trolleys
- Automated Zimmer Frames
- Bar Tender Robots
- Bedside Delivery Robots
- Bellhop Robots
- Cleaning Barn Robots
- Concierge Robots
- Cooking Robots
- Exoskeletons
- Feeding Stock Robots
- Greeters
- Laundry Robots
- Lawn Mower Robots
- Mops
- Personal Delivery Robots
- Pool Cleaning Robots
- Robotic Pets
- Room Delivery Robots
- Smart Suitcases
- Social Support Robots
- Supplies Robots
- Table Delivery Robots
- UV Sterilisation Robots
- Vacuum Cleaning robots
- Window Cleaning robots
- Robots
- Robotics
- Autonomous
- Paras Sharma
- Nikita Singh
- Matt Arnott
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.
- Albert (Czech Republic)
- Aloft Hotels
- Advinia Healthcare
- Aethon Robotics
- Amazon
- Apple
- Apptronik
- AURA
- Ava
- Baxter
- Boston Dynamics
- Circolo Hospital
- Brain Corp
- Crown Plaza Hotel
- Diligent Robotics
- Ecovacs
- Ekso Bionics
- Eufy
- Frink
- Goodman Group
- Google
- Honjo Elementary School
- Husqvarna
- Hyundai Motor Group
- IBM
- ICE Cobotics
- iRobot
- International Federation of Robotics
- Intuition Robotics
- KABAM Robotics
- Kemco Facilities Services
- Kia
- Mercedes-Benz
- Microsoft
- Millennium Hotels & Resorts
- Nala
- Neato
- Ohmni Labs
- Relay Robotics
- Richtech Robotics Roborock
- Samsung
- Scripps Health
- Signa
- SingHealth
- SMP Robotics
- Sony
- Stanford University
- Statistics Bureau of Japan
- The New York State Office for the Aging (NYSOFA)
- The University of Texas Medical Branch’s (UTMB) Angleton Danbury
- Tencent
- Internet of Things
- Hyperconnectivity
- Autonomous Robotic Systems
- Artificial Intelligence
- Accommodation & Food Service
- Health & Social Care
- Consumer
Vehicle Rental, Leasing & Sharing Management: Digitalisation and automation driving 21.7 million connected devices by 2035
- Internet of Things
- IoT
- Hyperconnectivity
- Connected Vehicles
- Automotive
- Autonomous Cars
- Carpooling
- Carsharing
- Connected Cars
- Fleet Management
- Peer-to-Peer
- Rental
- Leasing
- Sharing
- Vehicle Financing
This report provides Transforma Insights’ view on the use of IoT in Vehicle Rental, Leasing & Sharing Management. This segment comprises two sub-applications: Vehicle Rental, Leasing & Sharing Management Head Unit and Vehicle Rental, Leasing & Sharing Management Aftermarket. This report focuses on the remote monitoring and management of vehicles lent to businesses and private individuals by a third-party provider. These include rental companies, leasing and finance providers, car-sharing operators, subscription mobility services, and gig economy fleet providers. Connected vehicle technologies are increasingly used to track vehicle location, monitor usage, support predictive maintenance, automate vehicle access and billing, improve fleet utilisation, and enhance customer experience through app-based and contactless mobility services. Although the market has historically relied on aftermarket telematics devices, automotive OEMs are increasingly offering embedded connectivity and fleet management solutions for rental, leasing, and sharing operators. OEMs, including Ford, General Motors, Toyota, and Stellantis, now support connected mobility services through embedded telematics platforms. However, aftermarket solutions remain important for multi-brand fleets operated by companies such as Avis Budget Group, Hertz Global Holdings, and Europcar Mobility Group, which continue to deploy telematics platforms from providers including Geotab, Targa Telematics, and Octo Telematics to simplify fleet operations and reduce costs. The report provides a detailed definition of the sector, 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.
- Avis Budget Group
- BMW
- CalAmp
- Daimler
- Enterprise Holdings
- Europcar
- Fiat
- Ford
- Free2move
- General Motors
- Geotab
- Google
- Halo cars
- Hertz 24/7
- ID Systems
- Invers
- Octo Telematics
- OK Mobility
- Renault-Nissan-Mitsubishi
- Ridecell
- Samsara
- Stellantis
- Targa Telematics
- Telefonica
- T-Mobile
- Toosla
- Toyota
- Turo
- Uber
- Virtuo
- Volvo
- Vulog
- Webfleet
- Zipcar
- Zubie
- Internet of Things
- Hyperconnectivity
Public Space Lighting: 165 million connections by 2035 helping to reduce costs and energy consumption
- Internet of Things
- IoT
- Cellular
- Connected Streetlights
- Energy Savings
- Lamp Post
- Public Utilities
- Smart City
- Smart Lighting
- Street Lighting
- Sustainability
- Paras Sharma
- Nikita Singh
- Matt Arnott
This report provides Transforma Insights’ view on the use of IoT devices in the public space lighting market. This segment includes the monitoring, control, and management of lighting for streets and other public spaces, typically provided by local government or utilities. Streetlights are a significant contributor to the electricity bills of local authorities, accounting for 20-40% of total energy consumption in cities worldwide and resulting in significant greenhouse gas emissions. To reduce this cost and make street lighting more sustainable, governments across the globe are spending heavily to replace them with smart LED lamps that can be controlled remotely using different technologies, including Wi-Fi, Cellular, LPWA, and RF mesh. The report provides a detailed definition of the sector, analysis of market development and profiles of the key vendors in the space. It also provides a summary of the 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 breakdowns and public/private network splits, is available through the IoT Forecast tool.
- Auckland Transport
- Cimcon
- Dimonoff
- Dongguan
- GE Lighting
- GridComm
- InteliLIGHT
- Itron
- Paradox Engineering
- Philips Lighting
- Quantela
- Samudra
- ShotSpotter
- Sierra Wireless
- Signify
- Spie
- TerraGo
- T-Systems
- Telensa
- The City of Edinburgh Council
- Tvlight
- Ubicquia
- Verizon
- Websym Tezeva
- Xiamen Iotcomm Technology
- Internet of Things
- Hyperconnectivity
- Electricity, Gas, Steam & A/C
- Government
Remote SIM provisioning forecast: SGP.32 will account for 53% of cellular shipments in 2035
- Internet of Things
- IoT
- M2M
- eSIM
- eUICC
- embedded SIM
- MFF2
- RSP
- Remote SIM Provisioning
- SGP.02
- SGP.22
- SGP.32
- forecast
In July 2023 Transforma Insights published a forecast of our expectations of the adoption of different approaches to Remote SIM Provisioning (RSP), with a particular motivation to assess the likely growth of the SGP.32 standard, the arrival of which was imminent. Fast forward three years and the standard has only just been finalised with fully standards-compliant solutions being launched into the market in 2026. Having had our fingers burnt on forecasting this space in 2023 we have waited until now before providing an update on the expected adoption. This report provides our view of the overall adoption of SGP.32 alongside the other existing RSP standards SGP.02 and SGP.22, the use of which will be affected by the growing adoption of the latest standard. The report provides our expectations of the proportions of shipments of cellular-based IoT connections that will use each of those three technology standards, as well as the overall adoption of standards-based RSP. We include our methodology, which is based on a assessment of the likely use of each of the three standards across the hundreds of different applications included in our IoT Forecast Database.
- Hyperconnectivity
- Internet of Things
IoT connectivity and fleet management: technology trends driving changing behaviour
- Internet of Things
- IoT
- fleet
- management
- 5G
- AI
- artificial intelligence
- connectivity
- cellular
- Non-Terrestrial Networks
- NTN
- eSIM
Transforma Insights, the world’s leading IoT analyst firm, has today published a new report ‘IoT connectivity and fleet management: technology trends driving changing behaviour’, which provides a guide to the latest developments in cellular-connected fleet management.
- Edge Computing
- Artificial Intelligence
- Human Machine Interface
- Hyperconnectivity
- Internet of Things
- Autonomous Robotic Systems
Stolen Vehicle Recovery: Rising vehicle theft encourages a 54 million device market by 2035
- Internet of Things
- IoT
- Hyperconnectivity
- Automotive
- Connected Car
- On-Board Diagnostic
- OBD-II
- Stolen Vehicle Recovery
- Vehicle Hijacking
- Vehicle Security
- Vehicle Stealing
- Vehicle Theft
- Nikita Singh
- Matt Arnott
- Suruchi Dhingra
This report provides Transforma Insights’ view on the Stolen Vehicle Recovery market. This segment comprises applications supported on the factory-fit Vehicle Head Unit as well as aftermarket devices. Vehicle theft is a pervasive issue in many countries, leading to the need for Stolen Vehicle Recovery devices. These devices include vehicle tracking to warn of break-ins, prevent theft or facilitate vehicle recovery in the event of theft. In more sophisticated systems it may be possible to sound alarms or shut down vehicle functions. This application comprises aftermarket devices that can be placed in the vehicle in addition to applications running on the factory-fit vehicle head unit. There are a variety of business models. For instance, automotive OEMs are using embedded Stolen Vehicle Recovery services as one of a series of value-added services to generate alternative and recurring revenue streams. In some cases, aftermarket devices are also offered as complimentary service by automotive dealers and insurance companies. Over the years, there has been an increasing availability of factory-fit vehicle head unit applications, which has pushed aftermarket device providers to offer simpler and cheaper solutions. Additionally, alternative security monitoring and device tracking technologies have also challenged the market. These include the launch of consumer tracking devices such as Apple AirTags and Samsung SmartTags intended for lost item finding, as well as security monitoring solutions such as doorbells and CCTV cameras that are useful in recording vehicle theft activities. Public deployment of automatic number plate recognition (ANPR) cameras also allows license plate verification of vehicles against a stolen vehicle database. The lack of consumer awareness about Stolen Vehicle Recovery devices is another potential barrier to the market. The report provides a detailed definition of the sector, 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.
- Apple
- AT&T
- Audi
- BMW
- Coyote
- Diamond Landscapes
- General Motors
- Hyundai
- Ituran Global
- LandAirSea Systems
- LoJack
- Mercedes Benz
- Meta System
- National Insurance Crime Bureau
- RecovR
- Samsung
- Scorpion Automotive
- Shield GPS
- Sirius XM
- Spireon
- Spytec GPS
- Subaru
- Teltonika Networks
- Tesla
- Tracker Network (UK)
- Verizon
- Viper Telematics
- Vodafone
- Vodafone Automotive
- Volvo
- Internet of Things
- Hyperconnectivity
IoT network anomaly and threat detection market landscape
- ATD
- IoT security
- Network anomaly and threat detection
- Network monitoring
- Network security.
As IoT and OT deployments expand, the growing number and sophistication of connected devices increase cyber risks across industries and critical infrastructure. Attacks such as DDoS, Man-in-the-Middle, firmware exploitation, and physical tampering can disrupt operations, compromise sensitive data, and threaten public safety and national security. This report examines key IoT network security risks and explains why network anomaly and threat detection solutions are essential for protecting connected environments and supporting secure IoT deployments.
- Aeris
- Forescout
- Nozomi Networks
- Palo Alto Networks
- Unimicron Technology
- Wireless Logic.
- Edge Computing
- Data Sharing
- Artificial Intelligence
- Hyperconnectivity
- Internet of Things
IoT network anomaly and threat detection vendor profiles
- ATD
- IoT network anomaly
- IoT threat detection
- Network anomaly and threat detection
- Threat detection.
The cyber threat landscape for IoT and OT environments is becoming more complex as connected devices increase, expanding the attack surface for cybercriminals. Attacks can disrupt operations and threaten public safety, critical infrastructure, and national security. Network anomaly and threat detection solutions help organisations identify assets, monitor behaviour, detect threats, and assess vulnerabilities. This report examines leading IoT ATD providers and their capabilities, including integrations with broader security and IT ecosystems.
- Armis
- Aeris
- AWS
- Cisco
- Claroty
- Dragos
- Fidelis Security
- FirstPoint
- floLIVE
- Forescout
- Fortinet
- IoT Guardian
- Nozomi Networks
- ORDR
- Palo Alto Networks
- Shield-IoT
- Wireless Logic.
- Edge Computing
- Data Sharing
- Artificial Intelligence
- Internet of Things
- Hyperconnectivity
Road Fleet Management: 295 million devices providing vehicle and driver monitoring by 2035
- Internet of Things
- IoT
- Hyperconnectivity
- Connected Vehicles
- GPS Tracking
- Telematics
- Logistics
- Supply Chain
- Fleet Management
- Sustainability
- Vehicle Gateway
- Fuel Management
- Driver Safety
- Tyre Pressure Monitoring
- Driver Safety
- Onboard Diagnostics
- OBD II
- ELD
- Electronic Logging Device
- Suruchi Dhingra
- Matt Arnott
This report provides Transforma Insights’ view on the Road Fleet Management market with a primary focus on Vehicle Telematics Devices. Road Fleet Management covers in-vehicle transportation logistics solutions including job allocation, vehicle tracking, vehicle and driver monitoring, maintenance planning, safety compliance, fuel management, and incident management. The segment also includes aftermarket Tyre Pressure Monitoring Systems, In-Cab Displays, and Electronic Logging Devices. Early examples of Road Fleet Management offered excellent return on investment, a situation that has been widely recognised within many industries resulting in widespread adoption. Fleet telematics providers frequently advertise fuel savings, lower mileage, reduced maintenance costs, and lower idle time as the main benefits of deploying these solutions. The report provides a detailed definition of the sector, analysis of market development and profiles of the key vendors in the space. It also provides a summary of the 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 breakdowns and public/private network splits, is available through the IoT Forecast tool.
- Accenture
- Avanade
- Daimler Trucks
- Dohrn Transfer
- Federal Motor Carrier Safety Administration
- Fleetboard
- Fleet Complete
- Ford
- GeoTab
- GoFleet
- GPS Insight
- Hino
- John Deere
- Linfox
- Microsoft
- Mullen Automotive
- Octo Telematics
- Omnitracs
- Platform Science
- Powerfleet
- PT Serasi Autoraya
- Samsara
- Samsung
- Savage
- Telstra
- Trimble Transportation
- Tyrewatch
- Verizon Communications
- Verizon Connect
- Volvo
- Werner Enterprises
- West Yorkshire Police
- Internet of Things
- Hyperconnectivity
- Agriculture, Forestry & Fishing
- Construction
- Mining & Quarrying
- Transportation & Storage
The Intelligent Last Mile: How networks must leverage AI to address the evolving needs of IoT
- Internet of Things
- IoT
- artificial intelligence
- AI
- AIoT
- physical AI
- connectivity
- security
- reliability
- resilience
This report outlines how the convergence of Artificial Intelligence and the Internet of Things is reshaping data requirements, infrastructure needs, and operational models. AI’s dependence on real-world data elevates the role of connected devices, while the rise of AIoT is accelerating the shift of intelligence toward the edge. This creates increased pressure on connectivity to manage larger data volumes, stricter latency demands, and more complex regulatory and security environments. At the same time, organisations seeking to monetise AI are turning to IoT to create tangible services and improved efficiency, reinforcing the strategic value of optimised connectivity. The report finds that IoT connectivity must evolve significantly to meet these new requirements. Next-generation solutions must be designed to be secure across all layers, compliant with fast-moving regulatory frameworks, and flexible enough to operate across global networks and multiple technologies. They must also support deep interoperability across heterogeneous device fleets, orchestrate distributed AI workloads between edge and cloud environments, and enable collaboration across the IoT stack and between connectivity providers. In addition, platforms must become more user-friendly through unified management, automation, and operational simplification. These capabilities collectively define the “Intelligent Last Mile” required for AI-enabled IoT systems. The sections of the report examine: the growing interdependence of AI and IoT; the challenges of delivering data for AI; the functional requirements of the Intelligent Last Mile, including security, compliance, flexibility, interoperability, orchestration, collaboration, usability, resilience, scalability, efficiency, determinism, and observability; and a worked example showing how these principles apply to connected cars.
- Edge Computing
- Artificial Intelligence
- Hyperconnectivity
- Internet of Things
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