Product Lifecycle Management 101: a primer on how PLM is extending through the full produce lifecycle to include as-a-service propositions
- Product lifecycle management
- PLM
- concept
- design
- digital twin
- xaaS
Product Lifecycle Management (PLM) is extending rapidly from the traditional bounds of Concept and Design stages for a product, and into downstream Realisation and Service stages. Particularly impactful will be the increasing adoption of x-as-a-service concepts, which will unlock economic value and transform maintenance functions and secondary markets for a wide range of assets.
- Dassault Systemes
- Hexagon PPM
- PTC
- Siemens
- Product Lifecycle Management
X-aaS: An enterprise-adopter led market reaching 226 million instances by 2030
- Autonomous Robotic Systems
- Internet of Things
- Project Lifecycle Management
- servitisation
- servitization
- X-aaS
- autonomy
- autonomous
- robots
- robotics
- drones
- UAVs
- unmanned aerial vehicles.
Servitisation, X-aaS, or the offering of assets as-a-service is a key concept in digital transformation. X-aaS approaches can unlock benefits ranging from enhanced value propositions to increased cost efficiency. This report provides a prediminantly quantitative perspective on this market opportunity.
- Internet of Things
- Autonomous Robotic Systems
- Product Lifecycle Management
What will cellular connectivity for IoT look like in 2030?
- Hyperconnectivity
- Internet of Things
- Edge Computing
- cellular
- mobile
- connectivity
- 5G
- 4G
- 3GPP
- mobile private networks
- MPN
- mMTC
- LPWA
- LTE-M
- NB-IoT
- DECT 2020-NR
- LoRaWAN
- pricing
- IMSI
- eSIM
- MNO
- MVNO
- hyperscaler
- spectrum
- competition
- NFV
- SDN
- Open RAN
This report examines the likely trends and developments in cellular wide area network technologies, ecosystem and commercial relationships, including the face of radio access networks, the new dynamics in how core and access networks are delivered, new models for spectrum ownership, the impact of hyperscalers, pricing and network economics, regulation and the relationships between the various participants in the ecosystem.
- 1NCE
- Affirmed Networks
- Amazon
- BEREC
- Blues Wireless
- Cellnex
- EMnify
- Ericsson
- Eseye
- Eutelsat
- Google
- Hologram
- Huawei
- KORE
- Microsoft
- Nokia
- Red Compartida
- SpaceX
- Wireless Logic
- Hyperconnectivity
- Internet of Things
- Edge Computing
Edge Computing: 7.8 billion devices including 100 million gateways and ‘Distributed Edge’ locations by 2030
- Internet of Things
- IoT
- artificial intelligence
- AI
- machine learning
- ML
- autonomy
- autonomous
- robots
- robotics
- drones
- UAVs
- unmanned aerial vehicles
- edge
In this report we examine the adoption of edge capabilities as part of the functioning of edge devices and in a campus context. The focus is on quantitative analysis, examining numbers of devices across verticals and geographies.
Edge Computing 101: an introduction to distributed computing
- edge
- multi-access edge computing
- cloud
- containers
- data centers
Edge Computing encompasses a range of concepts, all of which relate to moving compute power nearer to data sources. Edge computing can potentially unlock a host of benefits, ranging from faster response times to optimising bandwidth usage and from ensuring privacy to enhancing the performance of Artificial Intelligence enabled CCTV.
- Amazon Web Services
- AT&T
- Cisco
- Cloudera
- Huawei
- KDDI
- Linux Foundation
- Microsoft
- SK Telecom
- Verizon Communications
- Vodafone
Nokia Data Marketplace is a strong play for the emerging data exchange market, but is too oriented towards closed user groups
- Artificial Intelligence
- Data Sharing
- Distributed Ledger
- Internet of Things
- data
- exchange
- clearing house
- bourse
- broker
- trading
- machine learning
- artificial intelligence.
In May 2021, Nokia launched ‘Data Marketplace’ a white-label data exchange platform allowing organisations to exchange data securely. The platform handles rights management, access control and settlement, amongst other things. This product exhibits many of the features and functionality advocated by Transforma Insights as part of its ‘Data Sharing’ technology area. It also folds in two of the current hottest technology fields: distributed ledger and AI. This report examines the capabilities of the platform, with a particular view of whether it is using the optimum architecture to best address the requirements of all clients in an open and many-to-many market that should be the long-term goal for any such system.
- Artificial Intelligence
- Internet of Things
- Distributed Ledger
- Data Sharing
Distributed Ledger: a diverse market opportunity, dominated by Supply Chain Audit
- Distributed ledger
- Blockchain
- ESG
- Environment
- Supply Chain Audit
- Supply Chain
- Immutable Records
- Digital Identity
- Smart Contracts
- Proof-of-Work
- carbon footprint
- CO2
This report examines the scale of the market opportunity associated with these diverse distributed ledger propositions. The focus is on quantitative analysis of revenues for distributed ledger applications, including vertical and geographic analysis.
Distributed Ledger 101: a beginners guide to distributed ledger and blockchain
- distributed ledger
- DLT
- blockchain
- cryptocurrency
- token
Distributed Ledger (or Blockchain) technologies are one of the most widely hyped of all emerging digital transformation technologies, however the market is at an early stage of development and thus far the technology has mostly only been adopted to support niche solutions.
- Accenture
- Citigroup
- Deloitte
- Gemalto
- Goldman Sachs
- Hong Kong Monetary Authority
- Hyperledger
- IBM
- Intel
- IOTA
- JP Morgan
- Microsoft
- People's Bank of China
- UBS
Vendors of IoT solutions should think less about what they sell and more about who they sell it to
- Value chain
- channels
- go-to-market
- features
- support
- packaging
- developers
- IoT
This report examines the weaknesses created by the continuing prevalence of the supply-driven, rather than demand-led, approach to evolving IoT hardware and software products by technology vendors. It proposes a new approach based on a ‘role matrix’ which seeks to ensure that a product is focused on the role that will be deploying it rather than a nebulous idea of ‘the market’. The report focuses on IoT, but it is applicable across all technology areas to greater or lesser degrees.
- Blues Wireless
- DataRobot
- Edge Impulse
- GE
- Github
- Hitachi
- Pycom
- Salesforce
- Twilio
Autonomous Robotic Systems: drones and domestic robots will drive device volumes while factory and surgical robots generate revenue
- Internet of Things
- IoT
- artificial intelligence
- AI
- machine learning
- ML
- autonomy
- autonomous
- robots
- robotics
- drones
- UAVs
- unmanned aerial vehicles
This report provides our quantitative analysis the scale of the market opportunity associated with diverse autonomous robotic systems, including autonomous driving, drones, factory robots, robot vacuum cleaners such as Roomba, unmanned off-road vehicles and delivery robots.
- ABB
- Amazon
- General Atomics Aeronautical Systems
- Intuitive Surgical
- KUKA
- Lockheed Martin
- Northrop Grumman
- Ocado Technology
- Roomba
- Starship Technologies
- Tesla
- Yaskawa
- Autonomous Robotic Systems
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.
