Webinar - Digital Transformation in Supply Chains
- Digital Transformation
- DX
- supply chain
- transportation
- logistics
- location management
- route optimisation
- condition monitoring
- supply chain transparency
- warehouse management
- inventory management
- last mile delivery
- supply chain planning
- Internet of Things
- IoT
- AI
- Artificial Intelligence
- Autonomous Robotic Systems
- regulation
- Jim Morrish
- Suruchi Dhingra
In this webinar, Transforma Insights analysts Suruchi Dhingra, Research Director, and Jim Morrish, Founding Partner, will discuss the key domains of change that are driving the digital transformation of supply chains.
- Alpine Fresh
- American Apparel
- CANO
- DHL
- DroneUp
- Flytrex
- Huarache
- Ricoh
- SBI International
- Tive
- Walmart
- Zipline
Smart Lockers: 6.2 million connected lockers in 2033 to ensure streamlined and secure parcel deliveries
- Internet of Things
- IoT
- commercial lockers
- delivery lockers
- gym lockers
- hospital lockers
- last mile delivery
- locker stations
- locker towers
- residential lockers
- smart lockers
- parcel delivery
- post
- mail
This report provides Transforma Insights’ view on the Smart Lockers market. Parcel deliveries have grown significantly over the years, and between 2014 and 2022, the volume of deliveries quadrupled. There is an increasing demand from customers for next-day or same-day deliveries which puts businesses under extreme pressure to expedite their last-mile processes. Parcel locker stations are being introduced to tackle last-mile delivery problems, especially in remote areas where daily deliveries are difficult. The growing need for parcel lockers has led to an increase in the need to connect these lockers to monitor them remotely and manage their efficiency. Lockers are equipped with a variety of communications technologies to ease their usage. Many functions use RFID tags or biometric scanners (such as fingerprint or face recognition). Short Range technologies such as Bluetooth and NFC, and long-range technologies such as LPWA and cellular are used to connect to the cloud. Many lockers can be operated via a smartphone application using Wi-Fi or Bluetooth connectivity. 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.
- Air Locker
- Aituo
- Blu
- Click n Collect
- Deutsche Post DHL
- DPDGroup
- Fonzel
- Groundfloor Delivery
- GS Parcel
- InPost
- KEBA
- LockTec
- Nærboks
- Parcel Pending by Quadient
- Pick Network
- Posti
- Posten
- PostNord
- Qikpod
- QLOCX iBoxen Digital
- Singapore Post
- Sunway PopBox
- SwipBox
- Warehouse in a Box
- Hyperconnectivity
- Internet of Things
GE Digital: Digital Transformation capabilities assessment
- Internet of Things
- Artificial Intelligence
- Hyperconnectivity
- Human Machine Interface
- Data Sharing
- Autonomous Robotic Systems
- Distributed Ledger
- Edge Computing
- Robotic Process Automation
- Generative AI
- Connected Products
This report examines the capabilities of GE Digital in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of GE Digital 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, GE Digital 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).
Why VoLTE/VoNR is a critical part of an IoT connectivity provider's portfolio
- Internet of Things
- IoT
- connectivity
- Communications Service Provider
- CSP
- MNO
- MVNO
- voice
- VoLTE
- VoNR
- IMS
The free Position Paper ‘Why VoLTE/VoNR is a critical part of an IoT connectivity provider's portfolio ’ examines the requirement for IoT applications to support voice services and the mechanisms required for IoT connectivity providers to do so. It starts by examining the key IoT applications that demand voice services, quantifies the opportunity associated with those applications, examines the technologies required to deliver voice services and identifies 11 key characteristics of an optimised voice capability that should be delivered by an IoT connectivity provider. The report is sponsored by voice solution provider ng-voice.
- Hyperconnectivity
- Internet of Things
NTT DATA: Digital Transformation capabilities assessment
- Internet of Things
- Artificial Intelligence
- Hyperconnectivity
- Human Machine Interface
- Data Sharing
- Autonomous Robotic Systems
- Distributed Ledger
- Edge Computing
- Robotic Process Automation
- Blockchain
- Generative AI
- 5G
- Private Networks
- LPWA
- NB-IoT
- LTE-M
- Catena-X
This report examines the capabilities of NTT DATA in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of NTT DATA 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 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, NTT DATA 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).
- NTT Data
- NTT Communications
- NTT Docomo
- NTT Group
Unmanned Non-Road Vehicles: 683,000 vehicles expected in 2033 due to a multitude of benefits including safety and operational efficiency
- Internet of Things
- IoT
- Hyperconnectivity
- Autonomous Vehicles
- AVs
- Autonomous Mining Trucks
- Autonomous Tractors
- Forklifts
- Autonomous Guided Vehicles
- AGVs
- Unmanned Robots
- Unmanned Non-road Vehicles
- Civilian Unmanned Non-road Vehicles
- Military Unmanned Non-road Vehicles
This report summarises the status and forecasts from the Unmanned Non-Road Vehicles 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.
- Bear Flag Robotics
- Deere and Company
- L3Harris Micreo
- Seegrid
- SSI Schaefer
- Stratom
- Swisslog
- Toyota Material Handling
- Hyperconnectivity
- Internet of Things
- Autonomous Robotic Systems
- Administrative
- Agriculture, Forestry & Fishing
- Construction
- Government
- Mining & Quarrying
- Transportation & Storage
The state of AI acquisitions 2021-2023: Big Tech leading the charge
- AI
- Artificial Intelligence
- Acquire
- Acquisitions
- Deals
- M&A
This report focuses on analysis of Artificial Intelligence (AI) acquisitions completed between January 2021 to December 2023. A total of 461 AI deals have been analysed during this period based on the deal count, deal value, sector, geographies of the buyer and target company, and the focus area of the acquisition.
- Accenture
- Accolite Digital
- Airbnb
- Alphabet
- Alphawave IP Group
- Alter
- Apple
- Applica
- Arcion
- Arq Group
- Attain
- Banias Lab
- BD
- Becton
- Dickinson and Co.
- Bio Pharmaceutical New Technologies (BioNTech)
- Bionic.ai
- Blue Yonder
- BYJU’S
- Capgemini
- Casetext
- Chorus.AI
- Cloudmed
- Cobwebs Technologies
- Corvus Insurance Holdings
- Inc.
- Crowdstrike
- Databricks
- Datasys Group
- Inc.
- DiA Imaging Analysis
- Digital Ocean
- DoubleVerify
- Francisco Partners and TPG
- GamePlanner.AI
- GeoPhy
- Ginkgo Bioworks
- Hyperconnect
- InstaDeep
- Light Years Beyond
- LoopMe
- Match Group
- Maximus
- Mayfair Equity Partners
- Meituan
- Microsoft
- Mode Analytics
- Mosaic ML
- Motion Metrics
- MTS AI (Intema)
- Myst AI
- Naver
- NCS Group
- Neeva
- Neptune Wellness Solutions Inc.
- Netcore Cloud
- New Mountain Capital
- New Relic
- NextGen Healthcare
- NRG Energy
- Nuance Communications
- PAIR Finance
- Panasonic
- Paperspace
- Parata Systems
- PenLink
- Pollen Street Capital
- Poshmark
- R1 RCM
- Royal Philips
- Scholr
- Scibids Technology
- Siemens
- Sisu Data
- Snowflake
- Telus International
- The Travelers Companies
- Inc.
- Thoma Bravo
- Thomson Reuters
- Thoughtspot
- Unbxd Inc.
- Vision Labs
- Vivint Smart Home
- Walker and Dunlop
- Weir Group
- Willow Tree
- ZoomInfo
- ZS Associates
- Zymergen
Growth in Artificial Intelligence forces vendors to refocus on sustainability
- Artificial Intelligence
- AI
- Machine Learning
- ML
- chatbots
- LLM
- generative AI
- sustainability
- data centre
- data center
- AI training
- AI inference
- large language models
- carbon emissions
- nuclear energy
- power purchase agreements
- natural language processing
- image generation
- power usage effectiveness (PUE)
- water usage effectiveness (WUE)
- Ireland
- renewable energy
- net zero
- graphic processing units (GPUs)
- ChatGPT
Artificial Intelligence (AI) is a rapidly developing technology with a widespread impact. Its implementation can be seen all around us from chatbots to autonomous vehicles. AI developments are on course to improve operational efficiency, bring labour productivity, and boost economies. However, the negative environmental impacts of AI are often hidden from public view and the technology can have socioeconomic and sustainability implications and hinder the clean energy ambitions of tech giants. Google and Microsoft, both have reported a significant surge in their carbon emissions in the last five years, largely attributed to increase in their data centre energy consumption as a consequence of infusing AI into their core products. AI has been used for decades but the question around its impact on the environment has arisen in recent years since the techniques or AI models developed now use a vast amount of data, significant computational power and are becoming far more complex and widespread. This was triggered by the generative AI boom and mass adoption of large language model-based products like ChatGPT, DALL-E, and others in the second half of 2022 . These recent AI models are fed with diverse and large data sets to bring more accuracy and robustness, and work with low latency. This requires extensive storage and powerful processing, thus escalating electricity demand and carbon emissions. Microsoft, for example, had a stable increase of carbon emissions for many years but has reported a significant increase of 29% in carbon emissions since 2020, mostly due to its data centre expansions that were designed to support AI workloads. Another tech giant, Google, has also been facing challenges due to increased electricity demand driven by AI. It saw a rise of 48% in its carbon emissions since 2019, driven by data centres and supply chain emissions. This is clearly a challenge to the ambitions of any AI company that is aiming to becoming carbon neutral. In this report, we summarise our findings on the environmental impact of AI and we highlight some of the initiatives that are being taken by AI companies and cloud providers to offset related carbon emissions.
- Amazon
- Amazon Web Services
- Google
- Meta
- Microsoft
- OpenAI
- Artificial Intelligence
- Hyperconnectivity
- Internet of Things
- Information & Communication
HVAC: 775 million connected devices by 2033, generating USD40 billion in revenue
- HVAC
- Air Conditioning
- AC
- Ventilation
- Heating
- Sustainability
- Smart Thermostats
- Heat pumps
- Chillers
- Smart Home
- Building Automation
- Suruchi Dhingra
- Matt Arnott
- Nikita Singh
This report provides Transforma Insights’ view on the connected HVAC market. This includes smart and connected heating, ventilation, and air conditioning equipment, in consumer as well as enterprise contexts. The smart HVAC market is expected to show strong growth over the coming years, majorly due to an increased focus on sustainability, and upcoming regulations focused on increasing energy efficiency and decreasing carbon emissions caused by buildings.
- Daikin
- Danfoss
- Haier
- Honeywell
- Johnsons Controls
- Resideo
- Tuya Smart
- Internet of Things
- Hyperconnectivity
Data security in the era of quantum computing
- Artificial Intelligence
- Future Technologies
- 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
- Post-Quantum Cryptography
- Quantum-Key Distribution
- Quantum Attacks
- Encryption
- RSA
- Code-based Cryptography
- Hash-based Cryptography
- Multivariate Cryptography
- Lattice-based Cryptography
The development of quantum computers is well under way. Even though these machines are still in relatively early development stages it will not be long before the adoption of quantum computing becomes mainstream in many industries. Over the past few years, some remarkable milestones have been achieved by different technology leaders 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, which would have taken a regular supercomputer 10,000 years to solve. Currently the most advanced development is IBM’s 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 optimisation. But with its great benefits, it also brings along some major threats that need to be mitigated in order to protect highly sensitive information concerning people, organisations, and nations. In this report we analyse the contexts in which quantum computing can pose a threat to present-day security systems and approaches to mitigate the risks. We talk in detail about post quantum cryptography (PQC) and quantum key distribution (QKD), today’s two major techniques that can be used to protect data from the threat of quantum attacks. The report also highlights different advances that are being made in order to ensure data protection along with a range of use case examples in which quantum-safe security is being implemented to safeguard user information. Lasty, we also profile some of the players that are providing quantum-safe security to organisations and highlight the different products and systems they are using in order to do so.
- Cryptomathic
- Crypto Quantique
- ID Quantique Post Quantum
- PQShield
- Quantum Dice
- Toshiba Quantum Technology
- Artificial Intelligence
- Future Technologies
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.
