LTE Cat 1 bis is a real contender in cellular-based IoT, at least in the medium term
- Hyperconnectivity
- IoT
- LTE
- 4G
- LTE Cat 1 bis
- LTE Cat 1
- LTE-M
- NB-IoT
- cellular
LTE Cat 1 bis was introduced as part of 3GPP Release 13 in 2016. Since then, it has been a little unclear exactly how it would fit into the panoply of cellular network technologies. Cat 1 bis devices are significantly cheaper, smaller and lower power than LTE Cat 1 (which is itself aimed at IoT applications), and with minimal impact on performance compared to LTE Cat 1. However, there was always a question mark over its ability to compete with the mMTC technologies LTE-M and NB-IoT given their superior coverage, battery life and assumed lower cost. However, deployment of LTE-M and NB-IoT has proved to be slower and more regionalised than might have been previously assumed. This leaves the door open for Cat 1 bis, although in the long run it is dependent on (4G) LTE deployments whereas those other technologies will continue to be supported as part of 5G standards in the long term. In this report we examine the capabilities of Cat 1 bis, and particularly focus on how it compares to LTE-M and NB-IoT. We consider deployment parameters such as uplink/downlink, latency, range, in-building coverage, unit price, power consumption, network availability globally, voice support, futureproofing, and module availability. The report also includes a top-level forecast of how many Cat 1 bis devices we expect to ship, relative to other LTE technologies.
- Deutsche Telekom
- Fibocom
- GSM Suppliers Association (GSA)
- Quectel
- Sierra Wireless
- SIMCom
- Telit Cinterion
- u-blox
- Hyperconnectivity
- Internet of Things
Road Public Transport: 7.3 million devices by 2032, offering real-time vehicle tracking, on-board payments, and internet services to passengers
- Internet of Things
- IoT
- Hyperconnectivity
- Connected Vehicles
- Automatic Vehicle Location (AVL)
- Buses
- Coaches
- Connected Vehicles
- Digital Signs
- Fleet Management
- On-board Connectivity
- On-board Payments
- Public Transport
- Smart Cities
- Surveillance cameras
This report summarises the status and forecasts from the Road Public 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.
- Anatel
- AT&T
- Bharat Benz
- Cradlepoint
- Daimler Trucks
- Eco Telematics Group
- FUSO
- Mercedes Benz
- Postel
- Quectel
- Robustel
- Scania
- Setra
- Sierra Wireless
- Telec
- Teltonika Networks
- Thomas Built
- Verizon Communications
- Volvo
- Internet of Things
- Hyperconnectivity
Connected Batteries: 183 million battery devices driven by falling costs and growth in renewable energy
- Internet of Things
- IoT
- Battery Energy Storage System (BESS)
- Connected Batteries
- Electricity
- Electricity Grid
- Energy Management System (EMS)
- Energy Storage
- Grid Storage
- Megapack
- Microgrid
- Nuclear Power
- Portable
- Power Supply
- Powerwall
- Renewables
- Smart Grid
- Solar Panel
- Utilities
This report summarises the Transforma Insights view on the ‘Connected Batteries’ IoT market found in the Transforma Insights Connected Things IoT forecast. The report covers details on the evolution of battery technology, beginning with traditional batteries with no communication technologies, up to current batteries with built-in connectivity. It covers different sizes of batteries, from large, grid scale batteries to small portable batteries. Mostly concentrated in developed regions such as North America and Europe, the market for batteries is typically triggered by the local electricity utility provider in the case of grid and microgrid, and consumers in the case of in-building and portable batteries. The report also describes the reasons for the increasing adoption of batteries such as increasing usage and cost of electricity, focus on renewable energy sources, as well as the war between Russia and Ukraine, and the resulting impact on natural gas use in European countries. 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.
- Alpha ESS
- Azuri Technologies
- d. Light
- DSD Renewables
- Enel
- Fenix International
- Generac
- Hawaii Electric Company
- Imperial Oil
- LG
- Liberty Utilities
- M-Kopa
- Omnigrid Micropower Company (OMC)
- Open Energi
- Pacific Gas and Energy (PG&E)
- Solar City
- Sonnen Group
- South Australia Government
- Tesla
- Vistra
- Hyperconnectivity
- Internet of Things
- Consumer
- Electricity, Gas, Steam & A/C
Waste Management: 2.9 million devices by 2032 to manage waste effectively and sustainably
- Internet of Things
- IoT
- Hyperconnectivity
- Asset Tracking & Monitoring
- Connected Bins
- Garbage
- Smart Bins
- Solar Bins
- Sustainability
- Trash Bins
- Trash Compactors
- Waste Collection
- Waste Disposal
- Waste Management Systems
This report summarises the status and forecasts from the Waste Management 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.
- Big Belly
- Contenur
- eCube Labs
- Enevo
- Envac
- Evreka
- Farsite
- NordSense
- Sensoneo
- Internet of Things
- Hyperconnectivity
- Water Supply & Waste Management
CGI: Digital Transformation capabilities assessment
- CGI
- Digital Transformation
- DXSP
- Internet of Things
- IoT
- Artificial Intelligence
- AI
- PLM
- distributed ledger
- blockchain
- Robotic Process Automation (RPA)
- Automation
- Blockchain
- Data Exchange
- Hidden City
- Peer Benchmarking
- Smart Meters
- Vendor Analysis
- Vendor Rating
The report examines the capabilities of CGI in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of CGI across 11 technology areas and dozens of functions, to determine the core strength of CGI 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, CGI 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).
Assisted Living: 160 million connected devices by 2032, supporting elder care
- Internet of Things
- IoT
- Hyperconnectivity
- Assisted Living
- Connected Dispensers
- Senior Living Solution
- Wander Management
- Fall Management
- Assisted Living Alarm System
- Elderly Care
- Residential Care
- Care Homes
- Connected Health
This report provides Transforma Insights’ view on the Assisted Living market. This segment comprises connected medicine dispensers, assisted living people tracking devices, residential care, and alarm systems. This report also provides insights on comprehensive living solutions, i.e., tracking devices and other assisted living solutions for patients that need significant day-to-day support and monitoring.
- AngelSense
- Essence SmartCare
- Hero
- Life360
- Medical Guardian
- MedMinder
- Internet of Things
- Hyperconnectivity
- Health & Social Care
- Consumer
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.
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.
