Video analytics as a substitute for IoT devices
- Video Analysis
- Video Analytics
- Livestock Monitoring
- Traffic Monitoring
- Patient Tracking
- Self-Checkout Systems and Paystations
- Transport Ticket Machines
- Security Alarms
- Stolen Vehicle Recovery
- Child and Pet Tracking
- Offender Tagging
- Disposable Devices
- Container Tracking
- Gas
- Water
- Electricity Meters
- Crop Management
- Warehouse Management Systems
- Environment Monitoring
- Alarm Systems & Living Solutions
- Card Payment Terminals
- Loss Prevention
- Border Monitoring & Control
- Road Public Transport
- Goods Vending Machines
- Customer Information Screens
- Public Space Lighting
- Commercial Fitness Equipment
- Traffic Lights
- Home Fridges & Freezers
- Autonomous Road Passenger Vehicles
- Dash Cams
- Prison Guards
- Small UAVs
- Micromobility Cameras
The use of video monitoring solutions has unlocked significant improvements, from round-the-clock surveillance for security purposes to object detection, gesture detection, facial recognition, and motion tracking across industries to gain real-time business insights and prescriptive analysis. Using video analytics, businesses can unlock greater value by analysing spatial and temporal information, provide instant alerts in the event of anomaly detection, and take actions when rules are flouted. Business opportunities, deployment challenges, and stakeholder complexities vary across each application. The demand for video analysis is primarily driven by the benefits that it can bring like better operational efficiency, enhanced public safety, and decreased manual work. There is a wide range of applications that can make use of some or all of these business benefits to gain a competitive advantage and provide a quality service or product to the end-user. There are 23 applications, around 7% of the total applications found in our IoT forecast database, for which video analysis can potentially substitute for IoT devices. Livestock Monitoring, Traffic Monitoring, Parking Space Monitoring, Fire and Security Alarms, Patient Tracking, and Trigger devices are some of the key IoT applications which can be substituted with video analysis. As per our analysis, Security Alarms, Stock Level Monitoring, In-Vehicle Road Pricing Devices, and Fire Alarms are the top applications in terms of connected devices that can potentially be replaced by video analysis. The number of IoT devices for the above-mentioned applications is expected to grow from around 0.9 billion in 2022 to around 2.4 billion by 2032. Even though the share of IoT devices that can be replaced by video analytics is expected to be less than 10% during the forecast period, we cannot neglect the potential of video analysis due to its business benefits and varied use cases across applications. Additionally, in cases where video analytics can substitute for LPWA connections, this substitution may represent an upsell opportunity for mobile network operators and an opportunity to deploy a higher bandwidth connection.
- Internet of Things
- Artificial Intelligence
- Autonomous Robotic Systems
Ambient IoT: An emerging technology and an alternative to RFID with potential to enable tens of billions of connections
- Ambient Computing
- Ambient IoT
- Backscatter communication
- Energy Harvesting
- IoT Pixels
- Passive Backscatter communication
- Zero Energy devices
Over the last 5 years, several communications standards bodies, starting with 3GPP and extending to IEEE and the Bluetooth SIG, have started to develop standards for ‘Ambient IoT’. The aim of the technology is to create ultra-low power, and in many cases battery-free, devices, using energy harvesting and forms of communication that piggyback on other RF sources through a technique known as backscattering. Backscattering is a communication technology that reflects ambient radiowaves to communicate with a receiver, thereby reducing the power required to communicate. Using this technology, Ambient IoT is likely to serve as an alternative for RFID and is significantly useful across multiple industry verticals such as agriculture, consumer, manufacturing, retail, utilities, transportation, and others. The resulting IoT devices are free from the monetary burden of batteries and also aid in environmental sustainability with reduce requirements for battery disposal. Ambient IoT technologies is still in a nascent stage. In this report we provide an overview of the concept, the enabling technologies, the standardisation activities that are currently under way and some of the key use cases where it will likely be useful. It also reviews some existing deployments and trials from Wiliot, HaiLa and Huawei.
- Haier
- HaiLa
- Huawei
- Identiv
- Pfizer
- Trustwell
- WestRock
- Wiliot
- Internet of Things
- Hyperconnectivity
Video analysis has significant potential with business benefits spanning across multiple industries
- Video Analysis
- Video Analytics
- Video Surveillance
- Edge AI
- CCTVs
- Facial Recognition
- Image Analysis
Video surveillance solutions have been in the market for a while, although they have been primarily used for safety and security. However, advances in digital technology, coupled with the rise of AI and edge analytics are expanding the application of video-based solutions across various industries, contexts and use cases. This evolution positions video analysis as a transformative technology in many scenarios. The demand for video analysis is growing as it proves beneficial in remote maintenance, operational optimisation, and improving public safety surveillance. The integration of AI-equipped cameras for object detection and behaviour analysis extends their utility across multiple industries. In this Key Topic Insight report, we explore why video analysis is needed and demonstrates how edge AI can benefit businesses by overcoming some of the challenges associated with cloud-based video analysis. The report also lists a range of use cases for video analysis across various industries, talks about some relevant case studies where video analysis has been deployed, and lists some of the major vendors and their roles in the ecosystem.
- Advanced Micro Devices (AMD)
- Atrius
- Avigilon
- Amazon Web Services
- Axis Communications
- Bosch
- BriefCam
- Cisco
- Clarifai
- Del Monte
- Equinor
- Ferrous Processing and Trading
- Genetec
- Google Cloud
- Hewlett Packard Enterprise
- Honeywell
- IBM
- Ikea
- Intel
- IntelliVision
- i-PRO
- Irisity
- Marino’s Market
- Microsoft
- Mobotix
- Motorola Solutions
- Nvidia
- Oracle
- Pelco
- Pro-Vigil
- Rogers-O’Brien Construction
- Seagate
- Spot.ai
- Artificial Intelligence
- Internet of Things
- Autonomous Robotic Systems
- Edge Computing
Infosys: Digital Transformation capabilities assessment
- 3D Printing and Additive Manufacturing
- Internet of Things
- Artificial Intelligence
- Hyperconnectivity
- Human Machine Interface
- Data Sharing
- Autonomous Robotic Systems
- Distributed Ledger
- Edge Computing
- Product Lifecycle Management
- Robotic Process Automation
- Applied AI
- Generative AI
- Infosys Topaz
- Metaverse
The report examines the capabilities of Infosys in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Infosys 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, Infosys 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).
Webinar - Resilient IoT connectivity: how to reduce outages, ensure connectivity availability and boost customer satisfaction
- Internet of Things
- IoT
- connectivity
- cellular
- rSIM
- resilient SIM
In this Transforma Insights webinar sponsored by CSL, Matt Hatton and CSL's Richard Cunliffe, alongside an experienced panel of IoT industry experts, will explore the impact of outages and what options there are to mitigate against them without the need for wholesale change.
- Internet of Things
- Hyperconnectivity
Deloitte: Digital Transformation capabilities assessment
- 3D Printing and Additive Manufacturing
- Internet of Things
- Artificial Intelligence
- Hyperconnectivity
- Human Machine Interface
- Data Sharing
- Autonomous Robotic Systems
- Distributed Ledger
- Edge Computing
- Product Lifecycle Management
- Robotic Process Automation
- Audit
- Blockchain
- CortexAI
- Digital Consulting
- Taxation
- Supply Chain Transparency
This report examines the capabilities of Deloitte in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Deloitte 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 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, Deloitte 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).
Navigating the generative AI vendor landscape
- Artificial Intelligence
- Robotic Process Automation
- Chatbot
- ChatGPT
- Fine-Tuning
- Foundation Models
- GenAI
- Generative AI
- Large Language Models
- LLMs
- Training Data
CXOs are becoming increasingly aware of the potential of generative AI to reshape their businesses. Many are evaluating its use in their business applications and have started experimenting with the technology to automate processes such as summarising and extracting information from a large volume of content, facilitating call centre support, enhancing personalised content creation, and more. The most effective way to realise the full potential of generative AI is through an ecosystem of partners that have access to the technology and expertise in the area. But with so many vendors entering the market and with the wide range of options available, companies are often left confused. Amidst the crowded vendor market, organisations need a clear and informed approach to effectively navigate through this complex vendor landscape. This report contains an overview of the main options available in the market. The choice of vendors depends on whether companies prefer to build generative AI systems from scratch or purchase pre-existing solutions to achieve their desired outcome. Broadly, generative AI vendors can be grouped into four categories: 1) Foundation model or Large Language Model (LLM) providers, 2) Infrastructure providers, 3) Software providers, and 4) IT service providers (including system integrators). In this report, we discuss the generative AI offerings offered by each of these sets of vendors in the market.
- ABB
- Accenture
- Amazon
- Anthropic
- Amazon Web Services
- Beam
- Cerebras
- Cohere
- DALL-E
- Google
- HCLTech
- IBM
- Infosys
- Intel
- Lightning
- Mosaic
- Meta
- Microsoft
- MidJourney
- Nvidia
- OpenAI
- Oracle
- Replit
- Salesforce
- Segmind
- ServiceNow
- TCS
- Wipro
- Artificial Intelligence
- Robotic Process Automation
Atos: Digital Transformation capabilities assessment
- 3D Printing and Additive Manufacturing
- Internet of Things
- Artificial Intelligence
- Hyperconnectivity
- Human Machine Interface
- Data Sharing
- Autonomous Robotic Systems
- Distributed Ledger
- Edge Computing
- Product Lifecycle Management
- Robotic Process Automation
- BullSequana Edge
- Codex AI
- Digital Transformation
- Edge Server
- Eviden
- Private 4G
- Private 5G
- Syntbots
This report examines the capabilities of Atos in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Atos 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, Atos 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).
Quantum Computing: Understanding the basic principles and fundamentals of quantum computers
- Quantum Computing
- Qubits
- Quantum Gates
- Quantum Algorithms
- Shor Algorithm
- Grover Algorithm
- Superposition
- Entanglement
- Interference
- Quantum Circuits
- Simon’s Algorithm
- Deutsch-Jozsa Algorithm
- Quantum Hardware
- Quantum Software
- Quantum Computers
This report discusses the basics of quantum computing along with necessary terminologies one needs to know in order to understand the working of quantum computers. Quantum computing is a branch of computing that uses quantum theory to solve problems that are too large or complex for traditional computers, and at exponentially faster rates. These machines manipulate the quantum state of an object to produce qubits to perform complex operations. These qubits lead to the formation of quantum gates that further combine to create quantum circuits, which are the basic functional blocks of a quantum computer and are responsible for performing operations using one of the many quantum algorithms. In this report we outline the basic principles of quantum computing and how it works, including discussion of qubits, relevant principles of quantum mechanics (including superposition, entanglement, and interference). We also discuss quantum gates and quantum circuits, including consideration of key gate types and how these are configured into circuits. Quantum algorithms are key aspects of the coming quantum computing revolution, and we discuss some of the most significant, including Shor’s Algorithm, Grover’s Algorithm, Simon’s Algorithm, and the Deutsch-Jozsa Algorithm. Lastly, we outline the key components of a quantum computer, including both hardware and software, and discuss alternative types of quantum computers and quantum processors (including gate-based, quantum annealers, and photonic quantum computers).
- Google Cirq
- IBM
- Microsoft Azure
- Qiskit
- Artificial Intelligence
- Future Technologies
IoT MVNO market landscape 2023
- IoT
- Internet of Things
- connectivity
- cellular
- MVNO
- mobile virtual network operator
This report provides an update on the IoT MVNO Market Landscape report published in November 2021. It includes analysis of the capabilities of 188 MVNOs (up from 175 previously) around the world, including profiles of each. Based on that analysis we draw some conclusions on the current state of the IoT MVNO market landscape. We consider which are the leading IoT MVNOs and look at how the MVNO landscape has changed in the last two years, including a large amount of M&A (almost 30% of MVNOs have been involved in some form in the last 3 years), plus how technology changes such as eSIM (including the forthcoming SGP.32 standard) changes the landscape further.
- 1Global
- 1NCE
- 1oT
- Aeris Communications
- Airlinq
- Arqia
- BICS
- Blues Wireless
- CSL Group
- Cubic Telecom
- emnify
- Eseye
- floLIVE
- Hologram
- iBasis
- Itron
- Kajeet
- KORE
- Monogoto
- NLT
- Onomondo
- Orbcomm
- Particle
- Pelion
- Pod Group
- POST Luxembourg
- Sierra Wireless
- Simplex Wireless
- Soracom
- Tata Communications
- Teal
- Transatel
- Truphone
- Twilio
- Velos IoT
- Wireless Logic
- WorldOV
- Internet of Things
- Hyperconnectivity
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.
