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Global IoT Forecast Report, 2023-2033

  • Internet of Things
  • IoT
  • forecast
  • connections
  • revenue
  • technology
  • LPWA
  • 5G
  • Matt Arnott
This report provides a snapshot of the state of the IoT market in 2022 and forecasts to 2032. It is compiled based on data extracted from the Transforma Insights IoT Forecast Database, specifically the IoT ‘Connected Things’ forecasts. The forecasts are constantly updated and cover hundreds of applications across 21 vertical sectors and 196 countries. The report comprises analysis of connections and revenues including splits by geography, technology, vertical sector and use case/application. This includes analysis of cellular connections and generation splits (2G, 3G, 4G and 5G), LPWA connections, public vs private network splits and many more. It also includes tables containing high level data. For a full set of data, subscribers should go to the IoT Forecast Database.
    • Internet of Things
    • Hyperconnectivity

        Digital Transformation in Smart Buildings

        • Internet of Things
        • Artificial Intelligence
        • Hyperconnectivity
        • Human Machine Interface
        • Data Sharing
        • Autonomous Robotic Systems
        • Distributed Ledger
        • Edge Computing
        • Robotic Process Automation
        • sSmart buildings
        • HVAC
        • lighting
        • air quality monitoring
        • building automation and control systems
        • smart windows
        • fire alarm
        • of smart restroom
        • pest management
        • Smart smoke detectors
        • connected CCTVs
        • smart door access
        • water monitoring
        • elevator monitoring
        • workspace reservation
        • Paras Sharma
        This report focusses on digital transformation in smart buildings as enabled by the key technology groups that are the focus of Transforma Insights’ research. These technology groups include IoT, Hyperconnectivity, Artificial Intelligence, and Data Sharing. Accordingly, the aim of this document is not to chart the future direction of smart buildings, but to highlight the key areas of change, enabled by new and emerging technologies.
        • 800 Fulton
        • ABB
        • Accenture
        • Ace Security
        • Actuate
        • ADT
        • Aeroqual
        • Airthings
        • Allegion
        • Ally Financial
        • Aloft Hotels
        • Apana
        • AT&T
        • ATMO
        • Axis Communications
        • Azrieli Towers
        • Beeah Group
        • Bosch Security
        • Bower
        • BrainBox
        • Breeze Technologies
        • Castello di Urio Hotel
        • China Unicom
        • Cobalt
        • Cogswell Tower
        • Costco
        • Crown Plaza
        • Daikin
        • Danfoss
        • Dubai Exhibition Centre
        • Dubai International Airport
        • Dubai Shangri-La Hotel
        • Dyson
        • ECOMT
        • EcoPilot
        • Empire State Building
        • EnOcean
        • Frasers Property
        • FSG Smart Buildings
        • GE Lighting (acquired by Savant Systems)
        • Globus
        • Google
        • GP Pro
        • Grosvenor Group
        • Grupo Infinorsa
        • Haltian
        • Heathrow Airport
        • Helvar
        • Honeywell
        • HUS Helsinki University Hospital
        • Inter Chalet
        • Interact
        • InterContinental Hotels Group
        • Intesis
        • JLL
        • John Hopkins University
        • Johnson Controls
        • Kilroy Realty
        • Kone
        • LAIIER
        • Lierda
        • Lindström
        • Masan Group
        • Meridian Kiosks
        • Microsoft Azure
        • Midlands Park Hotel
        • Monnit
        • Naver
        • New York Marriott Marquis
        • NOWA
        • Oizom
        • O’Neills Irish International Sports
        • Otis
        • Pacific Controls
        • Panasonic
        • Partteam and Oemkiosks
        • Philips
        • Proptech Bergen
        • Qualcomm
        • Relay Robotics Rentokil
        • Richmond County Tourism Development Authority
        • Sage Reality
        • SageGlass
        • Schindler Group
        • Schneider Electric
        • Seagate Properties
        • Sengled
        • Sensirion
        • Siemens
        • Signify
        • SMART FLOW
        • Stephan Häusler
        • Swiftlane
        • Symbiotech
        • Taihe Ann
        • Tesco
        • The Detection Group
        • The Durst Organisation
        • The Edge
        • ThyssenKrupp Elevator
        • TK Elevator
        • TTK
        • Tuesday Morning
        • Turning Torso
        • VergeSense
        • Verteco
        • View
        • Vivint
        • Vodafone
        • VRF
        • Wärtsilä
        • Westcliff
        • WINT
        • Wipro Lighting
        • Wrightington Wigan

              Supply chain transparency is the new regulatory normal

              • IoT
              • Internet of Things
              • Artificial Intelligence
              • AI
              • Machine Learning
              • ML
              • Blockchain
              • Carbon Border Adjustment Mechanism (CBAM)
              • Circular Economy
              • Digital Product Passports
              • Distributed Ledger
              • DPPs
              • Eco-Design
              • ESG
              • European Union
              • EU Batteries Regulation
              • Recycling
              • Reuse
              • Regenerate
              • Regulations
              • Supply Chain Transparency
              • Supply Chain Traceability
              • Sustainability
              • Suruchi Dhingra
              Several new regulations are being introduced around the world to promote circular, sustainable, and responsible economies. The goals of these regulations are clear: businesses should deploy an efficient mechanism to review how they design, source, manufacture, dispose, reuse, and recycle products. Mechanisms often report carbon emitted at each stage to promote clean energy use, and also limit the use of harmful substances, increase the degree of reuse and recycling by material composition tracking, limit materials from certain countries, and ensure human rights obligations and thus, responsible sourcing. To track these metrics, most of these regulations stress the importance of visibility and traceability of products throughout the value chain. The accurate collection and reporting of data mandated by the regulations discussed in this report is impossible without employing digitally transformative technologies that enhance the tracking and traceability of the discussed elements. Intelligent track and trace that combines technologies such as distributed ledger, IoT, AI, and analytics will be essential to automate tracking, making it fast and efficient to trace products throughout their journey. The whole process is made efficient through the adoption of a range of techniques: Product identifiers: the key identifier information that a stakeholder needs to accurately identify a product and to access related information. Data sharing: a common standardised way to share information among all relevant stakeholders. Supply chain traceability: essential to prove provenance and qualifications by tracking the origin of materials and physical flow of goods through the value chain. IoT: all of the above drive the adoption of IoT as it enables accurate and efficient data collection. Digital supply chain twin: to virtually track journeys with change of state. Artificial intelligence: intersects with other technologies for additional insights. In this report, we discuss the major regulations (including the EU’s Batteries Regulation, Carbon Border Adjustment Mechanism, and End of Life Vehicles Directive and others and the USA’s Inflation Reduction Act, and various EV battery-related and other regulations from around the world) that are shaping the circular, ethical, and green economy. We also discuss the role technology plays in facilitating the requirements of supply chain transparency related regulations.
              • Adidas
              • Algramo
              • AMP Robotics
              • Bosch
              • Circularise
              • Hewlett Packard
              • Kaer
              • LyondellBasell
              • Maersk
              • Nestle
              • Samsonite
              • Signify
              • Internet of Things
              • Artificial Intelligence
              • Distributed Ledger
                • Agriculture, Forestry & Fishing
                • Mining & Quarrying
                • Manufacturing
                • Electricity, Gas, Steam & A/C
                • Water Supply & Waste Management
                • Construction
                • Retail & Wholesale
                • Transportation & Storage
                • Accommodation & Food Service
                • Information & Communication
                • Consumer

                What does SGP.32 ‘IoT’ remote SIM provisioning really mean for how cellular IoT connectivity is delivered?

                • IoT
                • Internet of Things
                • Remote SIM Provisioning
                • RSP
                • eSIM
                • eUICC
                • SGP.32
                • Matt Hatton
                In May 2023 a third variant of the eSIM Remote SIM Provisioning standards from the GSMA was unveiled. The SGP.32 (“IoT”) variant was aimed at resolving some of the limitations of the earlier SGP.02 (“M2M”) and SGP.22 (“Consumer”) versions. The technology is now set and its functioning is relatively clear. The finalisation of the testing and certification processes is due in 2024 and compliant devices can be expected in 2025. While the technology might be well defined, what is not yet clear is what commercial models will prevail to make use of the new technology. In this report we explore the implications for existing models for delivering cellular-based IoT connectivity and what new opportunities might be created. The report considers what role enterprises or OEMs might play, what the opportunity might be for a managed eIM provider, and how each of the major stakeholder groups (MNOs, MVNOs, OEMs, enterprises, eUICC manufacturers, and connectivity abstraction platforms) might take in the new SGP.32 environment.
                • Bell Canada
                • Eseye
                • G+D
                • GSM Association
                • Kigen
                • KORE
                • Simetric
                • Simplex Wireless
                • Telenor
                • Telia
                • Thales
                • Verizon Communications
                • Wireless Logic
                • Internet of Things
                • Hyperconnectivity

                    eCall: 714 million revenue generating units by 2033 driven by regulatory mandates and road safety initiatives

                    • Internet of Things
                    • IoT
                    • Hyperconnectivity
                    • Connected Vehicles
                    • Automatic Crash Response
                    • Automotive
                    • Connected Car
                    • ERA-GLONASS
                    • Dedicated eCall
                    • eCall
                    • eCall Head Unit
                    • Emergency Calling
                    • Emergency Services
                    • Nikita Singh
                    • Matt Arnott
                    This report provides Transforma Insights’ view on the eCall market. This segment comprises two sub-applications: ‘eCall Head Unit’ and ‘Dedicated eCall’. eCall or emergency calling has become a common feature in cars following regulatory mandates in the European Union, the Eurasian Economic Union, Japan, the United Arab Emirates, and other parts of the world. It is also growing organically in countries that still do not have any regulations because for OEMs this is a very cheap service to provide and it gives them the opportunity to add another product to offer, with limited downside. Many road safety programs focus on reducing the severity of accidents. However, emergency calling programs specifically aim to reduce response times and provide greater information for first responders. eCall can be initiated either manually (by pushing a button) or automatically via activation of in-vehicle sensors when a serious vehicle crash occurs. In its early days, eCall used 2G and 3G networks to make calls and transfer data, but this now must be replaced with NG (Next Generation) eCall that uses 4G or 5G cellular networks because older networks are being phased out. NG eCalls will provide higher network availability, better service quality, and will allow transmission of larger amounts of data (that may include health data of occupants or live images of accident scenes in future) to the emergency services. It will also enable the transmission of video in addition to voice and data. 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.
                    • Actia Nordics
                    • Apple
                    • Audi
                    • BMW
                    • Bosch
                    • Citroens
                    • Daimler
                    • Denso Corporation
                    • European Union
                    • Ficosa
                    • Ford
                    • Garmin
                    • Infineon
                    • Mercedes Benz
                    • Peugeots
                    • Valeo
                    • Volvo
                    • Internet of Things
                    • Hyperconnectivity
                      • Consumer

                      Tata Consultancy Services (TCS): Digital Transformation capabilities assessment

                      • Internet of Things
                      • Artificial Intelligence
                      • Hyperconnectivity
                      • Human Machine Interface
                      • Data Sharing
                      • Autonomous Robotic Systems
                      • Distributed Ledger
                      • Edge Computing
                      • Robotic Process Automation
                      • Blockchain
                      • Generative AI
                      • 5G
                      • Private Networks
                      • Suruchi Dhingra
                      This report examines the capabilities of TCS in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of TCS across 11 technology areas and dozens of functions, to determine its core strengths for meeting enterprise needs. The 11 technology families in which the vendors capabilities are assessed are IoT, Hyperconnectivity, Human Machine Interface, Artificial Intelligence, Distributed Ledger, Data Sharing, Product Lifecycle Management, Robotic Process Automation, Edge Computing, Autonomous Robotic Systems, and 3D Printing & Additive Manufacturing. While these might not encompass every possible technology that organisations might need in order to purse a Digital Transformation, they certainly represent the most disruptive, and therefore the ones of which enterprises should be most aware. The report includes rating across each of the technology areas and functional capabilities (specialised hardware, general hardware, software products, integrated solutions, application development, systems integration and project management, specialist services, field & operational services) using Transforma Insight’s four-level universal rating system for vendors in Digital Transformation. Internet of Things, for instance, spans hardware, software, application development, implementation, field services and specialist services. For each of the 92 combinations of function and technology, TCS is rated for whether its capabilities are ‘Emerging’, ‘Significant’ or ‘Market Leading’ (or ‘None’). This rating is based on both the credibility of the solution and the position of the offering in the market (e.g. market share). Overall, TCS has secured a rating of 32% in Digital Transformation capabilities (compared to a theoretical organisation that is ‘Market Leading’ in every aspect of providing Digital Transformation across all technologies). It has built strong capabilities in software products in Distributed Ledger, Robotic Process Automation, and Artificial Intelligence.
                      • Tata Consultancy Services (TCS)

                            Roadside Assistance: 337 million revenue generating units in 2033 driven by the rising prevalence of OEM-offered solutions

                            • Internet of Things
                            • IoT
                            • Hyperconnectivity
                            • Connected Vehicles
                            • Automotive
                            • Brake Failure
                            • Connected Car
                            • Flat Tyre
                            • Fuel Shortage
                            • Roadside Assistance Aftermarket
                            • Roadside Assistance Vehicle Head Unit
                            • Towing
                            • Warning Beacon
                            • Matt Arnott
                            • Nikita Singh
                            This report provides Transforma Insights’ view on the Roadside Assistance market. This segment comprises two sub-applications: Roadside Assistance Head Unit and Roadside Assistance Aftermarket. Car breakdowns are a common occurrence on the roads disrupting the traffic flow and causing frustration and inconvenience amongst drivers. There are about 69 million vehicle breakdowns every year in the US, affecting approximately one in every three Americans. Roadside assistance may be required for reasons such as flat tyres, discharged batteries, electrical issues, overheating, mechanical failures related to engine and brakes, and vehicles running out of fuel. One of the significant advantages of IoT in roadside assistance is the capability to deliver diagnostic information (such as engine status, error codes, tyre pressure, fuel level, and others) in near-real time, enabling technicians to arrive at the location with the necessary tools and replacement parts. A significant barrier to the Roadside Assistance market is the increasing popularity of on-demand smartphone applications. They have become a popular mode of summoning roadside assistance for drivers because these do not require any additional hardware installation or integration with the vehicle head unit and can be carried between vehicles. Moreover, smartphones are a cost-effective solution compared to dedicated devices or OEM-provided software for roadside assistance. However, both of these solutions typically provide richer features for roadside assistance as they have access to detailed vehicle diagnostics data that can provide service providers with crucial information before reaching the location. 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.
                            • AA
                            • AAA
                            • Agero
                            • AT&T
                            • BMW
                            • Ford
                            • General Motors
                            • Harman
                            • Kia
                            • Lexus
                            • Mercedes Benz
                            • RAC
                            • Rolls-Royce
                            • Tantalum
                            • Telefonica
                            • Telenor Connexion
                            • Tesla
                            • T-Mobile
                            • Verizon
                            • Volkswagen
                            • Volvo
                            • Internet of Things
                            • Hyperconnectivity
                              • Transportation & Storage

                              Vehicle Diagnostics: Auto OEMs demand for maintenance and operational data is the main driver of a USD13 billion market by 2033

                              • Internet of Things
                              • IoT
                              • Hyperconnectivity
                              • Connected Vehicles
                              • Automotive
                              • Connected Car
                              • Connected Vehicles
                              • OBD-II
                              • On-Board Diagnostics
                              • Vehicle Diagnostic
                              • Vehicle Diagnostic Aftermarket
                              • Vehicle Diagnostic Head Unit
                              • Vehicle Health
                              • Nikita Singh
                              • Matt Arnott
                              This report provides Transforma Insights’ view on the Vehicle Diagnostics market. This segment comprises two Applications: Vehicle Diagnostics Head Unit and Vehicle Diagnostics Aftermarket. Vehicle Diagnostics is an important feature that enables manufacturers and vehicle owners to identify faults and issues that may be systemic across their vehicles or fleets at an early stage. The market is dominated by the diagnostics features built into vehicles by the OEMs and accessed and connected via the Vehicle Head Unit. The provision of such services helps OEMs maintain a relationship with their customers and represents an additional service to add to a chargeable connected vehicle offering. The owners benefit from real-time updates on vehicle condition, reduced maintenance cost and servicing time. For the OEMs, it’s also another way of advertising new products, services, and benefits to the existing customers. For instance Mercedes Benz persuades customers to service their cars at authorised car dealerships to avail themselves of benefits in the form of discounts and free diagnosis. Aftermarket devices are usually purchased by vehicle owners or technicians. These devices can be plugged into the OBD-II port and are typically equipped with Short Range technology such as Wi-Fi and Bluetooth. As vehicles become more complex, fault identification will become increasingly challenging, and diagnostics devices will be increasingly required. Home mechanics will purchase these devices to avoid paying additional fees for vehicle servicing. 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.
                              • Actia Group
                              • Amazon Web Services
                              • Autel
                              • BMW
                              • Bosch
                              • Chrysler
                              • Ford
                              • General Motors
                              • Hyundai
                              • Kia
                              • Launch Technology Company
                              • Luxsoft
                              • Mercedes Benz
                              • National Highway Traffic Safety Administration
                              • Tesla
                              • Toyota
                              • Vantage Power
                              • Volkswagen
                              • Internet of Things
                              • Hyperconnectivity
                              • Artificial Intelligence

                                  Tech Mahindra Digital Transformation capabilities assessment

                                  • Generative AI
                                  • Blockchain
                                  • Automation
                                  • 5G
                                  • Private Networks
                                  • Suruchi Dhingra
                                  This report examines the capabilities of Tech Mahindra in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Tech Mahindra across 11 technology areas and dozens of functions, to determine its core strengths for meeting enterprise needs. The 11 technology families in which the vendors capabilities are assessed are IoT, Hyperconnectivity, Human Machine Interface, Artificial Intelligence, Distributed Ledger, Data Sharing, Product Lifecycle Management, Robotic Process Automation, Edge Computing, Autonomous Robotic Systems, and 3D Printing & Additive Manufacturing. While these might not encompass every possible technology that organisations might need in order to purse a Digital Transformation, they certainly represent the most disruptive, and therefore the ones of which enterprises should be most aware. The report includes rating across each of the technology areas and functional capabilities (specialised hardware, general hardware, software products, integrated solutions, application development, systems integration and project management, specialist services, field & operational services) using Transforma Insight’s four-level universal rating system for vendors in Digital Transformation. Internet of Things, for instance, spans hardware, software, application development, implementation, field services and specialist services. For each of the 92 combinations of function and technology, Tech Mahindra is rated for whether its capabilities are ‘Emerging’, ‘Significant’ or ‘Market Leading’ (or ‘None’). This rating is based on both the credibility of the solution and the position of the offering in the market (e.g. market share). Overall, Tech Mahindra has secured a rating of 19% in Digital Transformation capabilities (compared to a theoretical organisation that is ‘Market Leading’ in every aspect of providing Digital Transformation across all technologies). It has built strong capabilities in software products in Distributed Ledger, Robotic Process Automation and Artificial Intelligence.
                                  • Tech Mahindra

                                        Vehicle Rental, Leasing & Sharing Management: Rising use of vehicle telematics driving 29.4 million devices by 2033

                                        • Internet of Things
                                        • IoT
                                        • Hyperconnectivity
                                        • Connected Vehicles
                                        • Automotive
                                        • Autonomous Cars
                                        • Carpooling
                                        • Carsharing
                                        • Connected Cars
                                        • Fleet Management
                                        • Peer-to-Peer
                                        • Rental
                                        • Leasing
                                        • Sharing
                                        • Vehicle Financing
                                        • Nikita Singh
                                        • Matt Arnott
                                        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 of vehicles lent to businesses and private individuals by a third party. Third party vehicle owners include rental car companies, vehicle finance providers, or share car schemes. Some of the principal drivers behind the use of remote monitoring solutions are to track vehicle location, enable better estimation of maintenance requirements, and automate logging of vehicle usage. Although historically a market dominated by aftermarket solutions, many automotive OEMs have begun to become a part of the rental, leasing, and sharing ecosystem by offering specialised telematics services to rental and leasing companies. Even so, aftermarket devices are still preferred by rental and leasing companies with a varied fleet of vehicles that are difficult to monitor and manage with a single embedded solution. Vehicle hire companies such as Avis Budget Group, Hertz, and Europcar use integrated aftermarket devices to streamline 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.
                                        • Airbnb
                                        • ALD Automotive
                                        • Amazon Web Services
                                        • Audi
                                        • Avis Budget Group
                                        • Beast
                                        • BMW
                                        • CalAmp
                                        • Daimler
                                        • Enterprise Holdings
                                        • Europcar
                                        • Fiat
                                        • Ford
                                        • Free2move
                                        • General Motors
                                        • Geotab
                                        • GoCar
                                        • Google
                                        • Halo cars
                                        • Hertz 24/7
                                        • Hyundai
                                        • ID Systems
                                        • LeasePlan Corporate Car Sharing
                                        • Liigu
                                        • Octo Telematics
                                        • Renault-Nissan-Mitsubishi
                                        • Samsara
                                        • Share Now
                                        • Sixt
                                        • Stellantis
                                        • Targa Telematics
                                        • Telefonica
                                        • Teltonika Networks
                                        • Tesla
                                        • T-Mobile
                                        • Toosla
                                        • Toyota
                                        • Turo
                                        • Uber
                                        • Virtuo
                                        • Volvo
                                        • Webfleet
                                        • Zipcar
                                        • Zubie
                                        • Internet of Things
                                        • Hyperconnectivity
                                          • Administrative

                                          Below is a list of Transforma Insights' research reports on Digital Transformation, IoT, AI and other disruptive technologies. Our 'Essential' subscribers can access a select sub-set of the reports as 'Essential Reading'. User Group members can access exclusive 'User Group' content. Some reports (e.g. Peer Benchmarking) are only available to 'Corporate' users. For details on how to upgrade your subscriptions, check your Profile page. If you would like to speak with our analysts about the content of any report, or any other topic, please contact enquiries@transformainsights.com.