A diverse landscape of AIoT chipset vendors is seeking to differentiate in fragmented IoT markets
- Artificial Intelligence
- AI
- Internet of Things
- IoT
- AIoT
- AnalogEdge AI
- accelerators
- compute-in-memory
- at-memory compute
- Edge AI
- neuromorphic computing
- Machine Learning System-on-a-Chip (SoC)
- unified memory architecture
- spiking neural networks.
This report discusses the leading players in the Edge AI and AIoT chipset space. The rapid growth of AIoT devices with diverse processing needs along with the proliferation of innovative chip designs is leading to the emergence of optimised edge AI and AIoT chipsets, used across various applications like natural language processing, computer vision, anomaly detection, and predictive maintenance. Such machine learning algorithms on edge devices are often required to operate at much lower levels of power consumption than equivalent algorithms running on servers or in data centres, due to limitations of availability of power. Increasingly vendors are offering edge AI chipsets with various value-added capabilities to differentiate their offerings. In light of this, several AIoT chipset providers have begun offering end-to-end solutions by providing software suites of tools. These software solutions enable businesses to build, test, and deploy customised machine learning (ML) applications by facilitating pre-silicon ML workload simulations and evaluating key performance metrics for their chips and more. Typically, such software suites consist of APIs, development tools, and prebuilt software libraries, supporting developers to deploy ML models on edge AI chips. They often incorporate features like quantisation and compression tools to optimise large language and other models to fit within the constraints of silicon with limited memory and computational capacity, aligning the models with the chip's architecture. Also, chipset providers are looking for new ways to widen and expand their revenue opportunities and increase their chipset adoption across industries by offering software tools. Thus, some companies are strengthening their software capabilities to offer a deep learning software development kit, ensuring a seamless development, deployment, and testing of edge machine learning applications.
- Andes Technology
- AON Devices
- Axelera AI
- BrainChip
- Hailo Technologies
- Himax Technologies
- IBM
- Innatera
- Mythic
- Nvidia
- Perceive
- SiMa
- Syntiant
- UntetherAI
- Artificial Intelligence
- Internet of Things
Track & Trace: An integral part of supply chain transparency
- Internet of Things
- IoT
- Hyperconnectivity
- Supply Chain Visibility
- Supply Chain
- Asset Tracking
- Supply 4.0
- Traceability
- RFID
- Barcode
- Track & Trace
- Personal Item Tracking
- Pallet Tracking
- Cage Tracking
- Logistics
- Consumer Tags
- Disposable Devices
- Suruchi Dhingra
- Paras Sharma
- Matt Arnott
The main drivers behind the adoption of Track & Trace solutions are the prevention of theft or loss, reduction of operational losses and recall incidents, and optimisation of product lifecycle management. Previously, the loss of items (such as reusable assets) was outweighed by the cost of asset tracking, but as IoT technology is becoming cheaper, and asset losses increase as businesses expand, the utilisation of tracking devices is becoming increasingly viable. The application group is also witnessing a strong regulatory push for the monitoring of goods whilst in transit, particularly in the pharmaceutical and food industry. These regulations are an effort to reduce spoilage, contamination, and falsified items in these industries. This report summarises the status and forecasts from the Track & Trace Application Group found in the Transforma Insights Connected Things IoT forecast. The report provides a description of what is covered in the Application Group, as well as top-level figures from the forecast that provide detail on how many connected devices will be installed, the types of communication technology used and the total revenue opportunity. Full details are accessible through the IoT Forecast tool.
- Accent Systems
- Amazon
- An Post
- AT&T
- Bemis Retail
- CoreKinect
- CourierPlease
- Digital Matter
- DHL
- Emerson
- Everynet
- FedEx
- KORE
- Nippon Expree
- Life360
- NTT Docomo
- Posten
- PostNL
- Roambee
- Telia
- Thinxtra
- Tile
- T-Mobile
- UPS
- Verizon
- Vodafone
- Wiser Systems
- Internet of Things
- Hyperconnectivity
- Agriculture, Forestry & Fishing
- Mining & Quarrying
- Manufacturing
- Construction
- Retail & Wholesale
- Transportation & Storage
- Health & Social Care
Digital Transformation in Sports
- Internet of Things
- IoT
- Artificial Intelligence
- AI
- Hyperconnectivity
- Data Sharing
- Autonomous Robotic Systems
- Human Machine Interface
- Distributed Ledger
- Edge Computing
- Robotic Process Automation
- sports
This report examines digital transformation (DX) in sports, enabled by the key technology groups that are the focus of Transforma Insights’ research. It focuses on the use of DX in all aspects of sports including stadiums, homes, fans, broadcasters, advertisers, athletes, coaches, scouts, and sports organisations.
- 8i
- ADI
- ai.io
- AiSCOUT
- Alcatraz AI
- Ant International
- ARES Security
- ARound AR
- Axess
- Barcelona FC
- Bayern Munich FC
- Blackbox Infinite
- Board of Control for Cricket
- BrandXR
- Catapult
- Chelsea FC
- Columbus Crew
- Dedrone
- Diamond Scheduler
- ESPN
- EyeGuide
- FirstBeat Sports
- Formula One
- Fox Sports
- Genius Sports
- GPSport
- Grekkom
- Hawk-Eye Innovations
- Houston Dash
- Immersiv.io
- Intel
- Interact Sport
- LaLiga
- Lapz.io
- Liverpool FC
- Los Angeles FC
- Los Angeles Rams
- Major League Soccer (MLS)
- Microsoft
- MindMaze
- MindMotion Pro
- Mindway AI
- Narrativa Betting Services
- National Basketball Association (NBA)
- National Collegiate Athletics Association (NCAA)
- National Football League (NFL)
- National Hockey League (NHL)
- North Jersey Junior Basketball League (NJJBL)
- NXT Interactive
- Oakland A's
- Obvios
- Paris Saint-Germain FC
- Pittsburgh Steelers
- PlayerTek
- Playpass
- Playtech
- PMY Group
- PokerBaazi
- Premier League
- Real Madrid FC
- SailGP
- Seamless Digital
- SHIELD
- Sky Sports
- Sloan Security Group
- Sportec Solutions
- Stake
- StatSport
- Strive
- Supponor
- Telstra
- The Famous Group
- Tottenham Hotspur FC
- UEFA
- Ultimate Fighting Championship (UFC)
- uniqFEED
- Vection Technologies
- VeriDas
- Verizon
- Weezevent
- Westex Security
- Wicket
- WIN Reality VR
Bike & Scooter Sharing: A slow growing market with 23.8 million devices by 2033 mostly driven by cellular IoT technologies
- Internet of Things
- IoT
- Hyperconnectivity
- Asset Tracking & Monitoring
- Bicycle
- Bike
- Scooter
- Micromobility
- Mobility-as-a-Service
- Co-mobility
- Transport
- E-bike
- E-scooter
- Pedelec
This report summarises the status and forecasts from the Bike & Scooter Sharing Application Group found in the Transforma Insights Connected Things IoT forecast. The report provides a description of what is covered in the Application Group, as well as top-level figures from the forecast that provide detail on how many connected devices will be installed, the types of communication technology used and the total revenue opportunity. Full details are accessible through the TAM Forecast tool.
- Bird
- Bluegogo
- Bolt
- Capital Bikeshare
- DiDi
- Hologram
- Kumpan
- Lime
- Lyft
- Mobike
- Ofo
- Telit
- Veo
- Vodafone
- Yulu
- Internet of Things
- Hyperconnectivity
- Administrative
- Transportation & Storage
PTC: Digital Transformation capabilities assessment
- 3D Printing and Additive Manufacturing
- Internet of Things
- IoT
- Artificial Intelligence
- AI
- Hyperconnectivity
- Human Machine Interface
- Data Sharing
- Autonomous Robotic Systems
- Distributed Ledger
- Edge Computing
- Robotic Process Automation
- Product Lifecycle Management
- PLM
- Generative AI
- Augmented Reality
- Virtual Reality
This report examines the capabilities of PTC in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of PTC 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 pursue a Digital Transformation, they certainly represent the most disruptive, and therefore the ones of which enterprises should be most aware.
Road Traffic Monitoring & Control: Implementing 310 million connected devices by 2033 to reduce congestion and simplify toll payments
- ANPR
- Automated Monitoring
- Automated Number Plate Recognition
- Congestion Charging
- Dedicated Short-Range Communication
- DSRC
- Enforcement Cameras
- Road Pricing Infrastructure
- Road Signs
- Smart Cities
- Speed Cameras
- Street Furniture
- Tolling
- Traffic Control
- Traffic Lights
- Traffic Management
- Traffic Monitoring
- Video Tolling
This report provides Transforma Insights’ view on the IoT market associated with Road Traffic Monitoring & Control, including road tolling systems, traffic enforcement cameras, and connected traffic signals and signs.
- NoTraffic
- Parifex
- Road Traffic Solutions
- SRL Traffic Systems
- Swarco
- Thales Group
- TransCore
- Yunex Traffic
- Hyperconnectivity
- Internet of Things
- Artificial Intelligence
- Data Sharing
- Transportation & Storage
- Government
Kyndryl: Digital Transformation capabilities assessment
- Digital Transformation
- DXSP
- 3D Printing and Additive Manufacturing
- Internet of Things
- Artificial Intelligence
- Hyperconnectivity
- Human Machine Interface
- Data Sharing
- Autonomous Robotic Systems
- Distributed Ledger
- Edge Computing
- Robotic Process Automation
- Product Lifecycle Management
- AI
- distributed ledger
- blockchain
- RPA
- Generative AI
- IT Infrastructure
- Cloud
- AI Ops
- Private Wireless
- Private 5G
- Network Managed Services
- IT Ops
This report examines the capabilities of Kyndryl in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Kyndryl across 11 technology areas and dozens of functions, to determine its core strengths for meeting enterprise needs. The 11 technology families in which the vendor’s 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 pursue 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, Kyndryl 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).
Infrastructure Monitoring: Retrofitting IoT solutions to extend infrastructure life
- Bridges
- construction projects
- dams
- infrastructure
- levees
- LoRa
- monitoring
- pipelines
- public infrastructure
- rail infrastructure
- reservoirs
- roads
- satellite
- tailings dams
- tunnels
- weirs
This report provides Transforma Insights’ view on the Infrastructure Monitoring IoT market. The report covers details on the evolution of infrastructure monitoring solutions. IoT plays an important role in monitoring infrastructure, including dams, tunnels, bridges, and pipelines by making sure that they can continue to function properly by detecting any faults at very early stages. This not only ensures a longer life for infrastructure, but it also proves to be of great economic value to the organisations deploying these IoT solutions with projects creating significant savings for operators. 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 breakdowns and public/private network splits, is available through the IoT Forecast tool.
- Geokon
- Infrastructure IoT (Bentley Systems)
- IoT Bridge
- OptaSense
- Paessler
- Resensys
- Strabag AG-Afcons JV
- Worldsensing
- Viotel
- Internet of Things
- Hyperconnectivity
- Construction
- Electricity, Gas, Steam & A/C
- Mining & Quarrying
- Water Supply & Waste Management
- Government
- Information & Communication
- Transportation & Storage
Global Private 5G regulations and spectrum status
- Internet of Things
- IoT
- Communications Service Providers
- CSPs
- Mobile Network Operators
- MNO
- Mobile Virtual Network Operators
- MVNO
- Private 5G
- Regulations
- Spectrum
- MmWave
- Millimetre wave
- Mid band spectrum
- Low band spectrum
- Private Networks
- Non-Public Networks
- Network Slicing
- Dedicated Networks
This report examines the private cellular network (particularly, 5G) spectrum availability across countries. It gives latest updates on the dedicated spectrum availability in countries across the world and extends the topic to include information on the regulations and guidelines around private 5G, the cost of acquiring the spectrum, and the type of allocation models common amongst the countries. Additionally, it includes research findings on the status on number of private networks being operated in each country (subject to availability) and industries that are deploying private networks the most. The countries included in this report include the UK, Germany, France, the Netherlands, Norway, Spain, Finland, Sweden, Switzerland, India, China, Singapore, Taiwan, South Korea, Japan, the US, Canada, Australia, Bahrain, and Brazil.
- Department of Telecommunications (DoT)
- MIT China
- South Korean Government
- Internet of Things
- Hyperconnectivity
- Artificial Intelligence
- Information & Communication
Monetisation of public 5G networks through IoT
- 3GPP
- 5G
- 5G SA
- API
- Cellular-V2X
- edge computing
- eMBB
- enhanced Mobile Broadband
- eRedCap
- forecast
- Internet of Things
- IoT
- LPWA
- LTE-M
- massive Machine Type Communications
- mMTC
- Mobile Network Operator
- MNO
- NB-IoT
- NEF
- Network Exposure Function
- network slicing
- Non-Terrestrial Network
- NTN
- Quality on Demand
- RedCap
- Ultra Reliable Low Latency Communications
- URLLC
- V2X
Mobile Network Operators (MNOs) have invested significant sums in upgrading to 5G. In increasing numbers they are also making the further step up to upgrading to a 5G Standalone (5G SA) core network. Much of the promise of 5G comes from the latter, giving MNOs the potential to deliver richer features and functionality including real-time latency, improved reliability, and ‘Quality on Demand’ type features. The combination of Network Exposure Function (NEF) and APIs also offers the potential to monetise 5G’s promise of the programmable network. In this report we explore the likely true revenue potential for MNOs by applying the additional capabilities of 5G (and particularly 5G SA) to the Internet of Things. The report starts with analysis of the key elements of 3GPP Releases 15 to 19 that relate to 5G and IoT. The includes the key functions of 5G New Radio in the form of enhanced Mobile Broadband (eMBB), Ultra Reliable Low Latency Communications (URLLC) and massive Machine Type Communications (mMTC). It also considers features such as network slicing, 5G RedCap, Cellular-V2X, Non-Terrestrial Networks, Network Exposure Function, APIs, edge computing, and much more. Under each sub-section the report considers how the features and functionality could be applied to IoT. The report then goes on to quantify the market opportunity associated with all of the various elements. For the period 2025-2040 it provides a view on the IoT connectivity revenue that will be attributable to each of the features. It does so in three main categories: ‘5G SA’ (which uses the additional features provided by the core network upgrade), ‘5G NSA’ (which have a requirement for the capabilities of the 5G access network but not advanced SA capabilities) and finally ‘5G future-proof’ (which would be addressable with 4G, or below, networks, and will migrate to 5G by default rather than because they demand any 5G functionality). The modelling is done as an assessment of what proportion of the connectivity revenue of a European or North American MNO (along with their channels) might be accounted for by each of the revenue types. Finally, it examines some of the contingencies and dependencies that might influence the timing of such revenue opportunities and provides a set of conclusions and recommendations for MNOs.
- 3 Austria
- Amazon Web Services
- AT&T
- Bridge Alliance
- CAMARA
- China Mobile
- Deutsche Telekom
- Ericsson
- Frequentis
- GSM Association
- Hrvatski Telekom
- Nokia
- NTT Docomo
- Open Gateway
- Oracle
- Orange
- Qualcomm
- Quectel
- Siemens
- Singtel
- Soracom
- Telefonica
- Telia
- T-Mobile
- Verizon Communications
- Vodafone
- Hyperconnectivity
- Internet of Things
- Edge Computing
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.
