How are MNOs and MVNOs harnessing AI for their IoT operations?

Artificial Intelligence
AI
Internet of Things
IoT
Communications Service Providers
CSPs
Mobile Network Operators
MNO
Mobile Virtual Network Operators
MVNO
Machine Learning
ML
chatbots
LLM
generative AI

Matt Hatton

In June 2024, Transforma Insights will publish its annual Communications Service Provider IoT Peer Benchmarking Report, examining all the facets of the strategies and capabilities of over 25 Mobile Network Operators and MVNOs in addressing IoT, both connectivity and more broadly. As part of the research this year we have asked companies about their experience of using Artificial Intelligence/Machine Learning to support their IoT operations. In this report we aggregate the findings of the research to show the main approaches that are dominating and which are gaining traction. The report identifies nine main ways in which Communications Service Providers are using AI, ranging from administration to networks to commercial.

1NCE
AT&T
BICS
Deutsche Telekom IoT
Deutsche Telekom
Emnify
Eseye
floLIVE
KORE
KPN
NTT
NTT DATA
Ooredoo
Orange
Pelion
Semtech
Sierra Wireless
Singtel
Soracom
T-Mobile US
Tele2
Telefonica
Telenor
Telia Company
Telit Cinterion
Velos IoT
Verizon Communications
Vodafone
Wireless Logic

Internet of Things
Hyperconnectivity
Artificial Intelligence

Information & Communication

Position Paper - Key considerations for Enterprises looking to adopt SGP.32

Internet of Things
IoT
connectivity
eSIM
remote SIM provisioning
SGP.32

Matt Hatton

This report, sponsored by Eseye, examines the new SGP.32 ("IoT") standard for Remote SIM Provisioning (RSP) and the ways in which enterprises should be considering its use. SGP.32 is not a magic wand. It does not solve all of the challenges of deploying multi-country IoT connectivity. For most enterprise deployments it is optimally done as part of a managed service which handles all aspects of managing the connectivity besides just the eSIM profile switching. Furthermore, as it is not yet available, any company considering deploying SGP.32 today will need to ensure that a connectivity provider offers a well-considered roadmap for evolving to using that particular standard. The SGP.32 ("IoT") standard for Remote SIM Provisioning was unveiled in May 2023, promising a more streamlined and user-friendly mechanism for enterprises to manage the connectivity on their cellular devices. As an evolution on the previous SGP.02 ("M2M") and SGP.22 ("Consumer") standards, it certainly represents several steps forward, resolving many of the technical limitations on supporting constrained devices and offering a simplified mechanism for handling switch-over of connections between operators. But that is just one element of the story. This report starts with a brief background on eSIM and remote SIM provisioning, with a particular focus on how SGP.32 is an improvement on previous standards. The main focus of the report is on addressing some of the myths and misunderstandings associated with the technology. It is not, on its own, a magic wand that can be used to seamlessly provide unlimited access to every network. The truth is more complicated. Commercial contracts need to be negotiated with network operators, and back-end processes and settings need to be updated to reflect a change of connectivity provider. It's not just as simple as flipping a switch and changing from operator A to operator B. And, equally importantly, SGP.32 is not actually available today and likely won't be until 2025. Therefore anyone looking to deploy IoT imminently will need to use a different option and seek support to migrate to the new standard when it's available. We expect that most SGP.32 deployments will be handled not by the enterprise itself but by a managed service provider (most obviously the existing connectivity providers) handling the orchestration of connectivity changes and providing a managed transition to SGP.32 when the time comes. In the final section we consider what the profile should be of such an SGP.32 managed service provider. There is a very significant risk with SGP.32 that the real (and perceived) benefits will blind enterprises to the realities of the intricacies of managing the overall IoT solution deployment and the requirements for a migration path to get there.

Eseye

Hyperconnectivity
Internet of Things

Generation: Mature power generation contrasts with high-growth micro-generation opportunities

Generation
Power Stations
Solar
Power Generation
Wind
Groundsource
Cogeneration
Renewable Energy
Smart Grid
Microgeneration
Wind Energy
Wind Turbines
Hydro Electric Dams
Electricity
Electrical Power

Matt Arnott
Rohan Bansal

This report provides Transforma Insights’ view on the Generation market. This segment comprises Power Generation and Microgeneration. Climate change is a major cause of concern as temperatures across the world are rising rapidly causing a series of natural disasters impacting human lives adversely. The need for sustainable sources of energy has grown to help countries achieve their sustainability targets. This has led to high adoption of clean energy production and a growth in these energy-producing facilities. The adoption of clean energy technology solutions will also increase the use of IoT to properly manage them throughout their life. Sensors functioning on a range of long and short-range technologies will be deployed on energy-producing equipment to gain insights into their proper utilisation and function. These solutions will ensure that devices are working at their optimal capacity at all times and provide timely alerts around any maintenance needs to ensure that downtime is reduced. 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.

Green Mountain Energy
NextEra Energy
Siemens Gamesa
Suzlon Energy
Tata Power Solar

Internet of Things
Hyperconnectivity

Electricity, Gas, Steam & A/C
Consumer

Inventory Management & Monitoring: 3 billion connected devices by 2033 with Electronic Shelf Labels accounting for the largest share

Automated Guided Vehicle
AGV
Automated Mobile Robot
AMR
Bluetooth ESL
Electronic Shelf Labels
ESL
Fill Level Sensor
Inventory Management
Logistics
RFID
Stock Level Monitoring
Storage
Warehouse Automation
Warehouse Management
Warehousing

Suruchi Dhingra
Matt Arnott

This report provides Transforma Insights’ view on the Inventory Management & Monitoring market. This segment comprises Stock Level Monitoring, Electronic Shelf Labels and Warehouse Management Systems. As is common for many commercial IoT applications efficiency improvements are the primary driver behind the adoption of Inventory Management & Monitoring solutions. There are considerable benefits for reducing the workload on employees, freeing them up for other higher skilled tasks and reducing the errors associated with manual inventory tracking. Greater knowledge of the stored quantity of goods and their flow enables the optimisation of inventories, allowing businesses to operate with a leaner inventory reducing the space and capital dedicated to inventory, or for a greater variety of goods for a given floor space. The growth of e-commerce has also put considerable pressure on improvements in logistics and supply chain processes with customers expecting greater speed of delivery and accelerated fulfilment times compelling companies to adopt inventory management and warehouse automation solutions. One obstacle to adoption is that many of the tasks that Inventory Management & Monitoring automate can be achieved by suitably equipped employees and extensive use of barcodes. Other IoT solutions such as drones and AI-based video monitoring solutions are also being increasingly used for inventory management, which will limit the market to an extent. 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.

6 River Systems
Boston Dynamics
Fetch Robotics
Haltian
Hanshow
Locus Robotics
Milesight
Nanolike
Pricer
StockVUE
Vusion Group

Internet of Things
Hyperconnectivity

Accommodation & Food Service
Administrative
Construction
Health & Social Care
Manufacturing
Mining & Quarrying
Transportation & Storage
Retail & Wholesale

In-Vehicle Infotainment: A USD20 billion market by 2033 underpinned by increasingly sophisticated and versatile devices

Internet of Things
IoT
Hyperconnectivity
Connected Vehicles
Automotive
Connected Car
Dashboard
Hotspot
In-Vehicle Aftermarket
In-Vehicle Audio
Head Unit
In-Vehicle Infotainment
In-Vehicle Video
In-Vehicle Wi-Fi
Infotainment

Nikita Singh
Matt Arnott

This report provides Transforma Insights’ views on the In-Vehicle Infotainment market, accessed through the Vehicle Head Unit or through aftermarket devices. In-vehicle Wi-Fi and media streaming has become increasingly popular amongst consumers over the past decade. In-vehicle Wi-Fi allows passengers to stream media, download applications and internet access. It also allows for media consumption in the vehicle. Previously, media used to be owned, nowadays many consumers choose to stream this media. To make use of this media whilst in a moving vehicle users will require a reliable, high bandwidth connection, driving demand for in-vehicle infotainment. This trend is likely to continue in the future as bandwidth becomes cheaper. However, the ubiquitous smartphone is likely to limit the size of this market, particularly in vehicles with Apple CarPlay or Android Auto installed. Vehicles compatible with smartphone mirroring can take advantage of the vehicle’s controls to access their media. Some drivers will simply choose to use their smartphones to browse the internet or stream media instead. Nonetheless, drivers are increasingly being discouraged from the distractions of smartphone usage whilst driving. Those who wish to lower their risk of an accident or falling foul of local traffic laws will be keen to make use of In-Vehicle Infotainment on the Vehicle Head Unit. 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.

Alpine Electronics
Amazon
Apple
Audi
AutoPacific
BMW
Continental AG
Denso Corporation
Ford
General Motors
GM
Google
Harman International
Hyundai
Kenwood Corporation
Kia
Mercedes Benz
Mitsubishi Electric Corporation (MELCO)
Montrex
National Highway Safety and Traffic Administration (NHSA)
Nissan
Pioneer
Rivian
Sony
Tesla
Toyota
Toyota
Volkswagen

Internet of Things
Hyperconnectivity

Unlocking the true potential of quantum computing

Quantum Computing
Qubits
Quantum Gates
Quantum Algorithms
Quantum Circuits
Quantum Hardware
Quantum Software
Quantum Computers
Quantum Middleware
Q-day
Quantum Encryption
Quantum Cryptography
Quantum Cloud
Hybrid Quantum Computing
Quantum Annealing

Rohan Bansal

The development of quantum computers is well under way. Even though these machines are still in quite early development stages it will not be long before they become mainstream in many industries. Over the past few years, some remarkable milestones have been achieved by different tech giants in this field. For instance, Google was able to construct a quantum computer in 2019 which could do a mathematical calculation in 3 minutes 20 seconds, that would have taken a regular supercomputer 10,000 years to solve. The latest and the most advanced development has been the IBM Quantum Condor processor with a 1,000-qubit capacity. Quantum computing increasingly provides great opportunities to enterprises, especially in the field of new drug discovery, financial trading, and supply chain optimisations. In this report we analyse the contexts in which quantum computing (potentially) has advantages compared to classical computing and the leading use cases for quantum computing. The report highlights ways in which organisations can leverage the advantages of quantum computing already today and also talks about the technologies being leveraged today to apply quantum computing to practical problems and achieve enhanced results. It discusses in detail the use, advantages, and disadvantages of quantum computers in the field of financial services, the insurance industry, medical and drug discovery, climate change, automotive, energy, and telecommunications, and how governments are investing into the technology to aid these developments.

Amazon Web Services
Atom Computing
AXA
BMW
Cambridge Quantum Computing
D-Wave Systems
Denso Corporation
E. ON
EDF
ENI
Ford
Goldman Sachs
Google Quantum AI
Honeywell
HSBC
Hyundai
IBM
Infosys
IonQ
JP Morgan
Mercedes-Benz
Microsoft Azure
Pasqal
Quantinuum
SE
Standard Chartered
Toyota
Volkswagen
Willis Towers Watson

Artificial Intelligence
Future Technologies

Quantum Computing: Industry Structure and Vendor Profiles

Quantum Computing
Quantum Hardware
Quantum Software
Quantum Middleware
Quantum Consultation
Quantum Cloud
Qubits

Rohan Bansal

This report discusses the leading players in the quantum computing industry, including companies that provide hardware and software for quantum computing. Vendors are profiled in three categories: Quantum Hardware Providers, including companies specialising in the design, development, and manufacturing of quantum computing hardware. Collectively, these hardware players form the backbone of today’s quantum computing industry, drive much of the progress, and enable transformative advancements. As they continue to refine and scale quantum processors, the potential for quantum computing to revolutionise fields such as cryptography, materials science, and drug discovery becomes increasingly tangible. The Quantum Software/Cloud Service Providers group is comprised of companies that provide relevant software to perform operations on quantum hardware. These companies specialise in developing sophisticated algorithms, programming languages, and software frameworks that enable users to leverage the unique capabilities of quantum computers. The role of quantum software providers extends beyond code development and aims to build an ecosystem that supports the growth of quantum applications. As the quantum computing industry matures, the collaboration between hardware and software providers becomes increasingly crucial to unlock the true potential of quantum computers. Quantum Algorithm Developers/Consultation Providers, providing users with pre-built quantum algorithms to help them accelerate their quantum development plans. They offer educational and training services to enlighten customers about the possibilities of quantum computing in their industry and the most effective ways to use this technology in its nascent stage. The report also highlights development timelines of some of the key vendors in the quantum computing space and different ongoing partnerships between technology providers and industry players and how these partnerships are specifically leveraging quantum computing to strengthen their position in the market.

1QBit
Aliro Quantum
Atom Computing
Classiq
D-Wave Systems
Fujitsu
IBM
Intel
IonQ
Pasqal
Phasecraft
Quanscient
Quantinuum
Rigetti Computing
RiverLane
Strangeworks
Xanadu

Artificial Intelligence
Future Technologies

Introducing Transforma Insights’ Artificial Intelligence Market Framework

Artificial Intelligence
AI

Rohan Bansal
Brad Canham
Jim Morrish
Paras Sharma

Two key factors are driving the evolution and diversification of the vendor landscape for Artificial Intelligence (AI). Firstly, AI technologies, and the market overall, are at a relatively early stage of development. Meanwhile the development, deployment and operation of AI-enabled solutions is a complex endeavour in which niche specialist capabilities can significantly enhance outcomes, or efficiency. As a result, the market for products, services, and solutions that incorporate artificial AI capabilities has grown in complexity in recent years. Transforma Insights has developed an ‘AI Market Framework’ which captures the different types of vendors present in today’s AI market. The framework spans three main aspects of AI: Services, Hardware, and Context. Each of these aspects is further divided into a number of functions, which are themselves split into vendor types. This report presents the Transforma Insights AI Market Framework and provides a definition of each vendor type included within it, along with examples of leading vendors for each vendor type.

Accenture
AI Planet
Alan Turning Institute (The)
Allen Institute for AI
Amazon
AMD
Ansys
Anyscale
Apache
AT&T
AWS
Azure
Berkeley AI Research Lab
Bosch
BSI
Chakray
Cisco
DataRobot
Dataone
Dynatrace
European Commission
Federal Trade Commission
Fujitsu
Genesys
Google
gravityAI
Hanshow
HIPAA
Hugging Face
IBM
Incredibuild
institute for Ethical AI & Machine Learning (The)
ISO
Meta
Microsoft
Mistral AI
New Relic
Nvidia
Open.AI
PTC
Puppet
Pytorch
Qualcomm
Radair
Samsung
Salesforce
Saudi Authority for Data and Artificial Intelligence
SK Hynix
Seldon
Silo.ai
SiMa
Softchoice
Tensorflow
TSMC
University College London

Artificial Intelligence

Regulatory landscape for the Internet of Things

Internet of Things
IoT
regulation
directive
law
device
import
export
environment
product safety
permanent roaming
privacy
security
data sovereignty
compliance

Matt Hatton

This report provides a guide to the various regulations that affect deployments of the Internet of Things and the associated provision of connectivity, device functionality, and management of data, as well as regulatory drivers and barriers to adoption. The report draws heavily on the Transforma Insights Regulatory Database, which details the key aspects of regulations (the ‘DNA of Regulations’) that apply in a range of new and emerging technology domains, such as the Internet of Things, Hyperconnectivity, Artificial Intelligence, Data Sharing, Distributed Ledger, Additive Manufacturing, and Autonomous Robotic Systems. A further domain relates to Privacy, which will often need to be considered alongside any technology-specific regulations. The report pulls together and summarises those areas related to the Internet of Things in seven major areas: hardware and spectrum, licensing and permanent roaming, privacy, security, data sovereignty and data access/portability, national resilience, and regulations in vertical sectors.

Internet of Things
Hyperconnectivity

The role of digital technologies in promoting Circular Economy

3D Printing and Additive Manufacturing
IoT
Artificial Intelligence
Distributed Ledger
Autonomous Robotic Systems
Blockchain
Circular Economy
Digital Product Passports
DPPs
Eco-Design
ESG
European Union
EU Batteries Regulation
Recycling
Reuse
Regenerate
Regulations
Supply Chain Transparency
Sustainability
Smart Packaging
Waste Management

Suruchi Dhingra

The concept of a circular economy is becoming a priority for governments and organisations as they become increasingly aware of the environmental consequences associated with traditional linear waste disposal processes. Although regulations supporting the transition towards a circular economy began to emerge in the early 1990s, it is only now that they have become more defined and have started incorporating the use of new digitally transformative technologies. Digital technologies hold tremendous potential to enable the circular economy objectives of governments and corporate and other organisations. From advanced techniques which optimise product designs (that reduce waste) to intelligent interconnected systems (that optimise resource use), the possibilities are endless. By integrating these technologies, businesses can benefit from improved resource management, extended life of products, increased degree of recycling and reuse, appropriate waste disposal practices at the end-of-life, and more. For example, by analysing datasets related to product design materials and recycling processes, AI algorithms can suggest product designs that are aligned with circular economy principles. In this report, we focus on the role of digital technologies such as IoT, AI, Distributed Ledger, Autonomous Robotic Systems, 3D Printing and Additive Manufacturing, and Data Sharing in enabling a circular economy transition. Solutions using these technologies will make business models, products, and manufacturing processes more circular by facilitating knowledge exchange and connecting different stakeholders in the value chain. By integrating these technologies, businesses can benefit from improved resource management, extended life of products, increased degree of recycling and reuse, appropriate waste disposal practices at the end-of-life, and more.

Adidas
Algramo
Amcor
AMP Robotics
Bosch
Blue Ocean
Circularise
eRent
Hewlett Packard
Kaer
ionQ
Loop
LyondellBasell
Maersk
Nestle
r3
Samsonite
Signify
ThredUp
Winnow Vision

3D Printing and Additive Manufacturing
Internet of Things
Artificial Intelligence
Distributed Ledger
Autonomous Robotic Systems

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

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.