Global IoT Forecast Report, 2024-2034
- Internet of Things
- IoT
- forecast
- connections
- revenue
- technology
- LPWA
- 5G
This report provides a snapshot of the state of the IoT market in 2024 and forecasts to 2034. It is compiled based on data extracted from the Transforma Insights IoT Forecast Database, specifically the IoT ‘Connected Things’ forecasts. The forecasts are constantly updated and cover hundreds of applications across 21 vertical sectors and 196 countries.
- Hyperconnectivity
- Internet of Things
Ansys: 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
- Robotic Process Automation
- Product Lifecycle Management
- CAD
- CAM
- Suruchi Dhingra
- Paras Sharma
This report examines the capabilities of Ansys in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Ansys across 11 technology areas and dozens of functions, to determine its core strengths for meeting enterprise needs.
Public Alarms & Monitors: 2.8 million connected devices by 2034 for providing timely emergency aid to citizens
- Acoustic Sensors
- Earthquake
- Gunshot Detection
- Public Warning Systems
- Emergency Alert Systems
- Public Alerts
- Public Alarms
- Public Safety
- Gunfire Locator
- Gunshots
- Natural Disasters
- Guns
- Homicide
- Emergency Response
- Automated Emergency Response
- Disaster Response
- Gun Crime
- Firearms
This report provides Transforma Insights’ view on the ‘Public Alarms and Monitors’ IoT market. This segment primarily focuses on gunshot detectors, automated emergency responses, and public warning systems. Gun violence is a major concern in many countries. Homicides and mass shootings have been on the rise, and many are not being reported to the authorities. IoT-based solutions are being implemented to combat this situation and ensure that gunshot incidents are accurately reported to the concerned authorities. Authorities are also using IoT to alert citizens about impending disasters, such as earthquakes. While most gunshot detection solutions work using a Wi-Fi Mesh network, public alarms frequently use LPWA and cellular technologies to alert citizens about potential upcoming hazards. 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 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 breakdowns and public/private network splits, is available through the IoT Forecast tool.
- Flock Safety
- Halo Smart Sensory by Motorola
- ShakeAlert
- Shooter Detection Systems
- SoundThinking
- Telegrafia
- Internet of Things
- Hyperconnectivity
LoRaWAN update: recent developments maintain its position as go-to licence-exempt LPWA connectivity technology
- Internet of Things
- IoT
- LoRaWAN
- LoRa
- Low Power Wide Area
- LPWA
LoRaWAN is the break-away leader in the licence-exempt Low Power Wide Area (LPWA) connectivity market. In recent months there have been a number of interesting developments in the space which might influence the growth trajectory of the technology. In this report we examine multiple aspects of the LoRaWAN ecosystem that have evolved significantly recently or are set to develop in the near future. These include developments in the technical standards underpinning LoRaWAN including application-specific developments and initiatives to enhance coverage (for instance, by using satellite connectivity), and a review of market traction and evolving commercial dynamics. We also review other ecosystem news including the exit of Cisco from the gateways market, the use of 2.4GHz spectrum for LoRa, and regulatory pressure on licence-exempt spectrum resources. LoRa is a physical proprietary radio communications technique, owned by the US company Semtech and operating in licence-exempt spectrum. Meanwhile, LoRaWAN is a communications protocol and system architecture that is an official ITU standard. In many cases (and particularly in China) LoRa chipsets may support communications protocols and/or architectures other than LoRaWAN, including potentially customised forks of LoRaWAN standards. Amazon’s Sidewalk is one notable such fork of LoRaWAN, using LoRa chipsets but a software stack that differs from LoRaWAN in terms of security management. This report focusses predominantly on LoRaWAN, since this is the protocol and architecture that underpins the dominant LoRa ecosystem, which was established to drive sales of LoRa chipsets. The development of the LoRaWAN standard is managed by the LoRa Alliance, an open, non-profit, member-driven organisation.
- Amazon
- Bouygues
- Centegix
- Cisco
- Echostar
- Helium
- KPN
- LoRa Alliance
- Netmore
- NextNav
- Orange
- Semtech
- Starbucks
- Swisscom
- Tata Communications
- Zenner
- Hyperconnectivity
- Internet of Things
Position Paper - eSIM Orchestration: Driving the Next Wave of IoT Connectivity
- Internet of Things
- IoT
- connectivity
- eSIM
- SGP.32
- remote SIM provisioning
In November 2024, Transforma Insights unveiled its 2025 IoT ‘Transition Topics’, a set of key themes that would significantly influence the market landscape during the year. One of those Transition Topics related to ‘eSIM orchestration vs connectivity reseller’, which was defined as follows: “The imminent arrival of the SGP.32 ‘IoT’ standard for remote SIM provisioning in 2025 promises to trigger a new phase in the provision of IoT connectivity and in the associated roles. Specifically, we expect to see the role of IoT connectivity provider (MNO/MVNO) fragment into three main roles: network operator, reseller, and a new role of eSIM Orchestrator, handling profile management and potentially integrating with a role of single-pane-of-glass (SPOG) connectivity abstraction platform.” In this Position Paper, we explore the triggers for the emergence of that eSO role, the market landscape that will emerge as a result, and the functionality that might be delivered by such a platform. The first section examines briefly the arrival of SGP.32 and the functions that were created, as well as looking at a series of other key trends in the cellular IoT connectivity landscape that are also influencing the changing market dynamics relating to how global cellular-based connectivity is delivered. This includes regulatory requirements for more localisation, evolution in middleware, and changing approaches from MNOs and MVNOs to how they address the market. Subsequent to that, a section explores what the resulting IoT connectivity landscape will look like and who the different players will be. The later sections then go on to provide a list of the functions that we might expect to be performed by the eSO, from the most fundamental of managing eSIM profiles, through to some more complex and holistic elements such as billing management, customer support and compliance, that would mark out the kind of managed solution we expect to be most appropriate for most enterprise customers. Stemming from that we include a section of questions that an enterprise might want to ask when considering who to use to provide its eSIM orchestration.
- Internet of Things
- Hyperconnectivity
Rockwell Automation: 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
- Robotic Process Automation
- Product Lifecycle Management
- IIoT platform
- Manufacturing Execution System (MES)
- Suruchi Dhingra
- Paras Sharma
This report examines the capabilities of Rockwell Automation in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Rockwell Automation across 11 technology areas and dozens of functions, to determine its core strengths for meeting enterprise needs.
3GPP NTN: supporting potentially 120 million IoT connections by 2034, but possibly improving 1.5 billion
- 3GPP
- Hyperconnectivity
- IoT
- NTN
- Non-terrestrial networks
- satellite
The 3GPP Non-Terrestrial Networks (NTN) initiative aims to expand cellular connectivity beyond traditional terrestrial networks by integrating satellite and high-altitude platform systems into the 5G framework. This report examines the potential market for NTN connectivity. In total, the report identifies over 120 million potential NTN connections, including 57.7 million Notional Connections.
- Hyperconnectivity
- Internet of Things
The leading AI models for (A)IoT
- AIoT
- ALBERT
- AlexNet
- Artificial Intelligence
- BERT (Bidirectional Encoder Representations from Transformers)
- Convolutional Neural Network
- CNN
- DistilBERT
- Edge AI
- EfficientNet
- GoogLeNet aka Inception-v1
- HuBERT (Hidden Unit BERT)
- Large Language Models
- LLaMA
- LLMs
- MiniLM (Minimalistic Language Model)
- MobileBERT
- MobileNet
- Neural Networks
- Random Forest
- Recurrent Neural Network
- ResNet (Residual Network)
- RNN
- SSD (Single Shot Multibox Detector)
- SVM (Support Vector Machine)
- T5 (Text-to-Text Transfer Transformer)
- TinyBERT
- Wave2Vec2
- Whisper
- XGBoost (eXtreme Gradient Boosting)
- YAMNet (Yet Another MobileNet)
- YOLO.
Artificial Intelligence (AI) models are a critical component of any AI system. They are the brains that support AI-enabled systems to analyse, decide, and perform the action for which the system is developed.
- Google
- Meta
- Sima.ai
- Syntiant
- Internet of Things
- Artificial Intelligence
Agentic AI: next generation AI that works autonomously
- Artificial Intelligence
- Agentic AI
- AI Agents
- AIoT
- Edge AI
- Generative AI
Agentic AI is making waves in the technology world, capturing the attention of both vendors and enterprises. Unlike the generative AI systems that have garnered so much attention in recent years, these autonomous systems operate with little to no human intervention, working toward a user’s end goal. With many systems built using a fusion of advanced large language models, natural language processing, reinforcement learning, and machine learning, agentic AI is capable of planning, reasoning, acting, and learning. This enables it to continuously fine-tune and enhance its performance, setting it apart from many conventional AI systems. It can autonomously orchestrate complex tasks and create and manage smaller tasks dynamically to achieve the desired outcome. Advanced agents have contextual understanding and can determine a course of actions and decide what tools (including external databases, APIs, and other AI agents) and assistance are required to reach their desired outcomes. While generative AI primarily focuses on content creation, including generating text, videos, or audio, and analysing vast datasets to uncover insights, agentic AI goes a step further. It is designed to tackle complex problems, make real-time decisions, and act independently. Businesses are beginning to adopt agentic AI to boost productivity, optimise operations, and drive innovation, making it a game-changer in the AI landscape. This report discusses how agentic AI is different from traditional AI systems (especially generative AI) and highlights the use cases for which agentic AI is being deployed in support of a range of enterprise functions. The report also lists some examples of leading companies that are already deploying the technology within these functions. Furthermore, the report discusses the key challenges and issues that could hinder the adoption of agentic AI.
- Aqua
- Bioaccess
- Bud Financial
- Fujitsu
- HotelPlanner
- Lemonade
- Meta
- Microsoft
- NYU Langone Health
- OpenAI
- OpenTable
- Owkin
- Ramp
- Relevance AI
- SafetyCulture
- Salesforce
- Shamrock Capital
- SharkNinja
- VIT
Schneider Electric: 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
- Robotic Process Automation
- Product Lifecycle Management
- Manufacturing Execution Systems (MES)
- Computer-Aided Design (CAD)
- Computer-Aided Manufacturing (CAM)
- Precision Specialist Robots
- Autonomous Robots
- cobots
- Suruchi Dhingra
- Paras Sharma
This report examines the capabilities of Schneider Electric in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Schneider Electric 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, Schneider Electric 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).
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.
