To address the implications of the technology-driven change, often referred to as Digital Transformation, we examine the intersection of three inter-related areas: New Technologies, Emerging Use Cases, and Enterprise Change Management.
Our starting point is a dozen families of New Technologies, comprising numerous concepts that we believe will have a significant impact on the commercial and operational models of most enterprises worldwide. These comprise the Internet of Things, Hyperconnectivity, Human-Machine Interface, Artificial Intelligence, Distributed Ledger, Autonomous Robotic Systems, Product Lifecycle Management, Data Sharing, Edge Computing, Robotic Process Automation, 3D Printing & Additive Manufacturing, and Future Technologies that are currently just over the horizon, but which are likely to have a transformative impact.
Technologies in isolation are irrelevant, they must be given practical applications. Accordingly, the second dimension of our research focuses on a comprehensive understanding of Transformational Use Cases. We categorise these under three headings: Business Efficiency (including the likes of customer behaviour analysis, workflow optimisation, and process automation), Data-Centric Business Models (including predictive maintenance, image processing, and bots), and Connected Things (covering diverse categories such as smart grid, autonomous vehicles, and smart speakers).
The third part of Digital Transformation concerns Enterprise Change Management. The biggest barrier in implementing any Digital Transformation initiative is typically internal. They typically involve culture changes, new business models, new processes, different skills, and new partnerships, all of which needs to be implemented through a change management process.
In order to support our clients’ as they navigate this intersection of technologies, use cases and processes, we provide a set of research tools.
Our TAM Forecasts will be of interest to vendors in the IoT, AI and Digital Transformation space. These quantitative guides to the market opportunity cover each of the twelve technology sectors mentioned above, looking at hundreds of use cases across 20 vertical sectors and covering 200 countries. These forecasts are updated on an ongoing rolling basis.
The most granular of these TAM Forecasts is our IoT Forecast Database, which provides 10 year forecasts covering 70 Internet of Things application groups, 20 sectors and 196 countries. Metrics include: connected devices, annual shipments, RGUs, technology split (including 2G, 3G, 4G, 5G, LPWA and others), public vs private network split, module revenue and recurring revenue (split between connectivity and service).A summary of our IoT forecasts can be found on the Forecast Highlights page.
The Best Practice & Vendor Selection Database is aimed squarely at enterprises going through Digital Transformation. This database provides unrivalled information on current and historic deployments, comprising hundreds of Case Studies, providing would-be adopters with critical understanding of project prioritisation, best practice, key success factors, and the key vendors with which they should be working.
We also publish a series of Reports on all aspects of the technologies, markets and vendors that we cover. Forecast Insight Reports expand upon the data in the TAM Forecasts, providing analysis of the key trends and market opportunities in each of the Application Groups we cover. Key Topic Insight Reports cover other interesting and noteworthy topics, including new technologies, regulations and commercial models. Vendor Insight Reports identify the relative strengths and weaknesses of vendors and show which should be top of any buyer's list when implementing Digital Transformation. Finally, our Peer Benchmarking reports detail the capabilities of vendors within particularly specific markets, including our Communications Service Provider IoT Peer Benchmarking. The Reports & Insights page is also where we post replays of our webinars.
Additionally during 2023 we added the Regulatory Database which analyses the key regulations related to AI, IoT, data privacy and other key technologies in 19 countries (and growing).
Some of our clients have specific requirements beyond the support offered by these products. We support these needs via Custom Research & Consulting. Client-specific engagements might include deep strategy reviews, customised market forecasts or the development of marketing material such as white papers or webinars.
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