The European Data Act will have huge implications for how IoT services are delivered in the EU and beyond
- Artificial Intelligence
- Data Sharing
- Internet of Things
- IoT
- EU
- Data Act
- regulation
- legal
- law
- data spaces
- data exchange
The ‘Regulation on harmonised rules on fair access to and use of data’ (European Data Act, or EDA) was first proposed by the European Commission in February 2022 to “leverage the exponential growth of IoT and unlock the vast potential of industrial data in the EU in a safe manner”. In June 2023, it was announced that European Parliament and the Council of the EU had reached agreement on the EDA. The Act will most likely be finalised in or around October 2023, come into force soon thereafter and become applicable 20 months later, meaning in mid-2025.
- Amazon Web Services
- European Commission
- European Telecommunications Network Operators Association
- GSM Association
- International Road Transport Union
- Microsoft
- Siemens
- Internet of Things
- Artificial Intelligence
- Data Sharing
What is Multi-access Edge Computing (MEC) and what are its key applications?
- 5G
- Cloud Computing
- Communication Service Providers (CSP)
- Hybrid MEC
- Hyperscalers
- Private MEC
- Private Network
- Public MEC
Over the past four years, Communication Service Providers (CSPs) and hyperscale cloud providers (Microsoft, Google and AWS) have been investigating the potential, through multiple commercial trials and pilot projects, of Multi-Access (formerly Mobile) Edge Computing (MEC). The report provides a background on MEC as a technology and examines its potential use cases and applications from an enterprise perspective. It considers the MEC ETSI standard, types of MEC interface and also identifies the reasons for MEC gaining market traction. Additionally, it provides details on strategic collaborations of various global telcos in the MEC space, and the emerging themes and verticals have also been defined. This is followed by conclusions and recommendations on the wider market scope and growth horizons in the near future.
- Accenture
- Affirmed Networks
- Altiostar
- Amdocs
- Avanade
- Amazon Web Services
- Bell Canada
- Brains Technology
- Broadpeak Content Delivery
- Capgemini
- China Unicom
- Cognitiwe
- Cognizant
- Datwyler
- Ericsson
- Extreme Networks
- FanDuel
- Google
- GSMA
- Harman
- HCL
- HFCL
- Honda
- ILink Digital
- Inception
- Intel
- Inventec
- Ipsotek
- KDDI
- M1 Singapore
- Mavenir
- Mawari
- Maxis
- Microsoft
- Neal Analytics
- Net4
- Nissan
- Northdocks
- NTT
- Nvidia
- O2
- Philips
- Rakuten
- Red Viking
- Saguna Networks
- Singtel
- Tampnet
- TCS
- Tech Mahindra
- Telia Company
- Telstra
- Telus
- T-Mobile US
- Verizon Communications
- Vodafone
- Weavix
- Zixi
- Hyperconnectivity
- Internet of Things
- Artificial Intelligence
- Human Machine Interface
- Edge Computing
- Transportation & Storage
- Manufacturing
- Construction
- Electricity, Gas, Steam & A/C
- Health & Social Care
- Government
- Retail & Wholesale
- Arts & Entertainment
Generative AI use cases flourish across multiple domains and industries
- ChatGPT
- Foundation Models
- GenAI
- Generative AI
- Large Language Models
- LLMs
Generative AI opportunities are being increasingly explored by companies across many industries. In this Key Topic Insight Report, we start with the discussion on what generative AI is, the benefits of the technology, and how has the technology evolved over the years. We also discuss the meaning of Foundation Model and Large Language Model, the terms which appear frequently whenever generative AI is discussed. A major part of the report focuses on highlighting use cases where generative AI can be deployed to support several enterprise functions. It will help potential adopters of the technology to prioritise use cases that will benefit the most by use of generative AI. For example, it discusses the potential of the technology in customer support, IT, sales, marketing, finance and R&D functions. The report also lists examples of leading companies that are already deploying the technology within these functions. While the technology looks promising for the future, it has a flip side too. The last part of the report discusses the major challenges associated with the technology, including data bias, technical complexity, intellectual property rights and legal concerns.
- ABN Amro
- Amazon
- Amgen
- ASOS
- Baskins Robins
- BBVA Bank
- Contenda
- DALL-E
- Deepbrain
- Deutsche Bank
- Emirates NBD
- GA Telesis
- Goldman Sachs
- Google
- IBM
- Insilico Medicine
- Lexica
- Macy’s
- Meta
- Microsoft
- Midjourney
- Mitsui Chemicals
- Morgan Stanley
- Murf AI
- Myntra
- Nordstrom
- NVIDIA
- OpenAI
- Orange
- Replit
- Resemble AI
- Salesloft
- Samsung
- SellScale
- Spotify
- Synthesia
- University of Kansas
- University of Stanford
- Vodafone
- Walmart
- WPP
- Zepp Health
- Artificial Intelligence
- Robotic Process Automation
HCLTech: Digital Transformation capabilities assessment
- HCLTech
- Digital Transformation
- DXSP
- Internet of Things
- IoT
- Artificial Intelligence
- AI
- PLM
- distributed ledger
- blockchain
- Robotic Process Automation (RPA)
- Application Development
- DRYiCE
- Generative AI
- IoT WoRKS
- System Integration
The report examines the capabilities of HCLTech in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of HCLTech across 11 technology areas and dozens of functions, to determine the core strength of HCLTech 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.
Rail Transport: Generating USD886 million in annual IoT revenue by 2032
- Connected Rails
- Connected Trains
- GHG Emissions
- GSM-R
- Infotainment
- Mobile Train Radio Communication
- MTRC
- Railway Communication
- Railway Internet
- Smart Trains
- Sustainability
- Rail
- Public Transport
- Freight
- Logistics
- Telematics
- Transport
- Transportation.
This report summarises the status and forecasts from the Rail Transport 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.
- A1 Digital
- Bosch
- Cisco
- ClearBlade
- Eurowagon
- Klas Group
- Metropolitan Transportation Authority (MTA)
- Nexxiot
- Nokia
- OUTFRONT Media
- Rail Cargo Austria AG
- Siemens
- Internet of Things
- Hyperconnectivity
Virtual Briefing: Optimising Device-to-Cloud Connectivity: Why IoT needs Connected-by-Design
- IoT
- Internet of Things
- Connected by Design
- device
- cloud
- AI
- workloads
- connectivity
- edge computing
This Virtual Briefing addresses the Transition Topic related to optimising Device-to-Cloud connectivity', in particular the importance of adopting a Connected-by-Design approach for IoT deployments, highlighting the need to integrate connectivity considerations throughout the design process. By taking into account the unique requirements of each IoT use case and the complexity of component mix, this approach allows for the optimization of all elements in the IoT system.
- Internet of Things
- Hyperconnectivity
- Edge Computing
- Artificial Intelligence
The Vision Stack: navigating complexity with knowledge
- Vision Stack
- Internet of Things
- IoT
- Artificial Intelligence
- AI
- Digital Transformation
Successfully navigating the volatility, uncertainty, complexity, and ambiguity (VUCA) of AI and IoT fields, and digital transformation (DX) initiatives, requires clarity and pragmatic tools. Traditional strategic approaches perform poorly in VUCA environments. The Vision Stack aligns organisational knowledge-creation with value-creation via a familiar “stack” metaphor, a simple mental model, and, when required, a robust process. Based on a Design Thinking approach, the Vision Stack quickly creates clarity in VUCA environments, and uncovers hidden strategic insights for complex technology initiatives like IoT, AI, and DX. Technology vendors and adopters can use the Vision Stack to ensure that they are harnessing the knowledge and expertise within their organisation to accelerate innovation, deliver compelling products, effect a process transformation, or to maximise sales. This report starts with an explanation of the Vision Stack and why it is needed by organisations involved in rapidly evolving technology fields, either as adopters or as suppliers. It continues by exploring the concept of ‘sensemaking’ whereby organisations make sense of the huge amounts of data, both explicit (e.g. databases, metrics, or code) and tacit (e.g. experience, problem-solving, or judgement) and turn it into informed decision-making. Finally, the report expands on the concept of sensemaking into the Vision Stack and describes five layers of knowledge. These layers of expertise enable an organisation to optimise performance, and include, craft knowledge (Techne), scientific knowledge (Episteme), conjectural or cunning knowledge (Metis), practical wisdom (Phronesis), and excellence (Arete), which collectively sit under the acronym TEMPA. In short, the Vision Stack includes TEMPA and provides guidance and a means to navigate complexity. It empowers proactive decision-making, fuelling success. Throughout the report we include examples of how the various types of knowledge in TEMPA are applied in the IoT, AI, and DX scenarios to accelerate innovation, improve the quality of outcomes, and optimize organizational expertise.
Oracle: Digital Transformation capabilities assessment
- Oracle
- digital transformation
- DXSP
- Internet of Things
- IoT
- Artificial Intelligence
- AI
- PLM
- distributed ledger
- blockchain
- Robotic Process Automation (RPA)
- Database Management
- Generative AI
- Oracle Cloud
This report examines the capabilities of Oracle in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Oracle across 11 technology areas and dozens of functions, to determine the core strength of Oracle 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.
IT & Other Office Equipment: 897 million connected devices by the end of 2032 aiding the future of hybrid working
- Internet of Things
- IoT
- Hyperconnectivity
- Office Equipment
- Common Area Displays
- Digital Whiteboards
- Fax Machines
- Franking Machines
- Network Attached Storage
- Office Automation
- Office Equipment
- Printers
- Photocopiers
- Scanners
- Ticker Machines
This report summarises the status and forecasts from the IT & Other Office Equipment 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.
- Brother
- Canon
- Dynamo LED Tickers
- Epson
- FaxPlus
- FP Mailing
- HelloFax
- HP
- IoTConnect
- QNAP
- RingCentral
- SendPro
- Spacewell
- Synology
- Table Air
- Ticker Play Systems
- Hyperconnectivity
- Internet of Things
- Information & Communication
- Finance & Insurance
- Professional, Scientific & Technical
- Education
IBM: Digital Transformation capabilities assessment
- IBM
- Digital Transformation
- DXSP
- Internet of Things
- IoT
- Artificial Intelligence
- AI
- PLM
- distributed ledger
- blockchain
- Robotic Process Automation (RPA)
- AIOps
- Automation
- Generative AI
- IBM Blockchain Transparent Supply
- IBM Food Trust
- Maximo
- Tririga
- Watson AI
- Watson Assistant
- Watsonx
The report examines the capabilities of IBM in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of IBM across 11 technology areas and dozens of functions, to determine the core strength of IBM for meeting enterprises’ 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 may not encompass every possible technology that organisations may 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, and field & operational services) using Transforma Insights’ 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, IBM is rated for whether its capabilities are ‘Emerging’, ‘Significant’, ‘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).
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.
