AI Marketplaces bridge the gap between innovation and application
- Artificial Intelligence
- AI
- Data Sharing
- Enterprise AI
- Marketplace
- AI Marketplaces
- Regulations
This report analyses the dynamics of Artificial Intelligence (AI) Marketplaces, one of the key vendor types identified in Transforma Insights’ AI Market Framework. It includes discussion of their many stakeholders such as developers, data owners, and regulators who converge to coordinate their developments and trade AI models and services with end users. Other dynamics include ensuring the privacy and security of the data, end users who require help with technical expertise to assess model quality, ongoing maintenance requirements for products developed, and the proprietary nature of many of the solutions created. The types of marketplaces and the vendors associated with them are segmented into generalist and specialist types and reviewed for their capabilities, including infrastructure, Machine Learning (ML) models, data storage, computing resources, and others. We also draw attention to how marketplace platforms can promote standards, are challenged by regulatory complexities, and advance AI solutions across industry sectors. Marketplaces are digital spaces that connect AI vendors and adopters, including AI service developers, vendors of pre-trained AI models and enterprises and other end users, who can then coordinate the exchange of services, payments, and AI solutions. Marketplaces are platforms and can be open, single-master, or consortium-driven. Single-master and consortium-driven marketplaces are curated, in the former case by a single vendor (for example, AWS) and in the latter case, by a group in a consortium. Curated marketplaces often cater for a more specific user base (including vendors and products) and focus on hosting AI solutions that match that focus.
- AWS
- Defined AI
- Google
- Gravity AI
- Hugging Face
- Kaggle
- Microsoft
- Phygital+
- Artificial Intelligence
- Data Sharing
Digital Transformation in the Retail Industry
- Internet of Things
- Artificial Intelligence
- Hyperconnectivity
- Human Machine Interface
- Data Sharing
- Autonomous Robotic Systems
- Distributed Ledger
- Edge Computing
- Robotic Process Automation
- retail
- store
- asset tracking
- personalised shopping
- converged commerce
- augmented shopping experience
- autonomous stores
This report examines digital transformation (DX) in Retail, enabled by the key technology groups that are the focus of Transforma Insights’ research. The report focuses on digitally transformative solutions adopted in physical and online retail environments.
- 3DLOOK
- Acean
- Adidas
- AiFi
- AIREM
- Amazon
- Amazon Web Services
- Badger Technologies
- Belcorp
- Bemis Retail Solutions
- Brickhouse Security
- Coach
- Cooler Screens
- Cosium
- Digit7
- DISPL
- Eye-oo
- FFFace.me
- Flags
- Home Depot
- Instacart
- JLL Retail
- Johnson Controls
- JuiceBabe
- Kotsovolos
- L’Oréal
- Lowe's
- Maybelline
- MySize
- Nedap
- Nike
- Nivea
- Nourish + Bloom Market
- PAL Robotics
- Perfect Corp
- Pimkie
- Puente Enterprises
- PulpoAR
- Sephora
- Shopic
- Shopwise International
- Shufersal
- Sigfox
- Simbe Robotics
- Slø
- Snapchat
- Solum Global
- SpartanNash
- Target
- The Kroger Co
- Tidio
- Tokinomo
- TotalEnergies
- TouchSource
- Tutch
- UnaBiz
- Visage Technologies
- Walgreens
- Walmart
- Wiliot
- Zebra Technologies
- Zero10
- Zippin
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
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.
