2021 in Review: Competing Segments, Strategies and Time Horizons

Much has changed over the last 10 years that I have published this annual review of corporate initiatives in the IoT sector. I do not track each and every development in the way that the professional market analyst firms do in this tracker of 1200 IoT start-ups [1]. 

Instead, I focus on industry patterns and structural developments that correspond to emerging market opportunities for new and established businesses. Continuing this approach leads me to reflect on three themes in this review of 2021 activities. The first theme touches on market structure and segments that are taking shape. Such specialization is a phenomenon that occurs when a market attains scale. The second explores strategies for different strategic horizons in a couple of key segments. The third theme deals with communities of interest and how industry players are tackling issues related to wider economic benefits beyond those delivered by individual IoT solutions. 

I conclude this review by touching on some of the emerging developments that adopters should factor in their system design and IoT procurement plans. These also carry implications for product development managers on the supply-side of the industry. 

Market Structure & Segments

Looking through some fifty corporate events over 2021, the supply side market challenge is to make it as easy as possible to bring new users onboard by tailoring distinct channels to market. Roughly a third of these events involve organizations lower down the solution stack partnering with service providers that operate higher up the solution stack. This type of arrangement provides the means for packaging a vendor’s offerings (hardware components or an IoT application) to gain access to new markets or to target the service-provider partner’s customer base. 

In terms of developing such channels to market, two segments are apparent. One involves specialist service providers whose pedigree can be traced back to M2M and mobile communications roots. These include businesses such as 1NCE, Eseye, Evrynet, Kore Wireless and WirelessLogic. In addition to building up operational scale, these service providers have also been the target of investor interest. Investment initiatives represent a mix of strategic stake building (e.g., Telus investment in Eseye, SoftBank stake in 1NCE) and scale-up ambitions linked to industry consolidation (e.g., WirelessLogic acquisitions of Com4 and Things Mobile). 

The second category involves cloud service providers such as Amazon Web Services, Google Cloud and Microsoft Azure. These providers acquired M2M connectivity expertise several years ago. In addition to commercial partnerships with established M2M service providers, Amazon acquired 2elemetry in 2015 while Microsoft acquired Solair in 2016. Since then, however, the cloud service provider segment has tended to focus more on tools and developer environments for the application of analytics and visualization as the driver of value. This segment’s strategy is a race to co-opt developer communities and to tie them to the different IoT platform environments.

Segment Strategies and Timing Horizons 

Structurally, the market is segmenting into groups of service providers that are looking at different ways to build scale. While the traditionalists, comprising M2M/IoT connectivity service providers and mobile network operators, focuses on connections, new-comers in the shape of cloud service providers are building scale around the concept of ‘walled gardens’ of IoT data. 

In the case of connections, an important driver of change is the eSIM. This technology enables new operating processes which help to streamline the stock-keeping unit (SKU) complexities associated with manufacturing devices for many different geographical markets. New operating processes also extend to managing connectivity and data handling charges that arise in large or regional deployments where several mobile network operators (MNOs) might be candidates for connectivity. eSIM technology helps connectivity service providers to mask the complexity of handling contracts with multiple MNOs. To some extent, the software option to switch connectivity providers also mitigates against provider lock-in and price escalation risks. 

By contrast, the cloud service provider strategies put a greater focus on data and data applications than connectivity. These strategies also appear to target a longer time horizon. There are two aspects to how these strategies manifest themselves in the market. One involves getting users familiar with each provider’s platform tools and environments. In the process, enterprise IT/OT teams accumulate expertise and become invested in one ‘home’ environment. This applies equally to developer communities that each cloud provider is cultivating through developer outreach efforts, on-line self-help tools and application development resources. The second aspect relates to the build-up of IoT data in a single environment. For large, user organizations, there are benefits from having a common interface to access a single (logical) repository of data that might span multiple IoT applications and several business units. In theory, this makes it easier to share data and to explore operational patterns that might exist in several manufacturing plants or locations. Easy access to data and to mixing-and-matching of data opens up new innovation possibilities. There is now an option value embedded in return-on-investment calculations because users have a pathway to developing second-generation IoT applications because they can access new data sources or implement solutions that tackle cross-silo business needs. 

IoT Communities of Interest 

For a different perspective on market scale, let us is to consider IoT communities of interest. One example is the Zigbee Alliance which rebranded itself to become the Connectivity Standards Alliance (CSA) around mid-2021. It also rebranded its Connected Home over IP (CHIP) project under the ‘Matter’ marketing label. This change is a good example of the need to shift the emphasis away from a technology, that would have been ground-breaking ten or so years ago. Now, the focus is on persuading adopters that those technologies are now largely mature and usable at scale. The investment in market development is also a sign that participating members see value in a collaborative initiative and neutral brand. 

Another community example involves the Industrial Internet Consortium which rebranded itself to become the Industry IoT Consortium. By evolving beyond a generic reference to the Internet, this community is now signalling the importance of solution approach that encompasses a wider set of technologies and business approaches associated with the IoT. 

The IoT technology-push of ten years ago is evolving to a market-pull now that IoT has grown to become a mainstream market. The change is down to adopters and users, including those at the margin, acknowledging the tangible benefits and value-potential of IoT solutions. A side consequence is that different industry participants are considering the impact of IoT systems not just in industry verticals but also for their impact on the wider economy. An example that illustrates this point is Filament STAC which is an IoT industry cluster in Scotland. This multi-company initiative was launched as an industry-government partnership aimed at producing Scottish IoT companies capable of scaling rapidly. It has a three-year target to create more than 25 IoT companies supporting around 750 jobs. In December, it announced backing from several, US tech businesses including Twilio, Plexus Corp, Intel Corporation, Keysight and Arrow Electronics. While this initiative focuses on a localized, geographic cluster it illustrates the growing importance of strategic, national initiatives. 

A well-known example that began several years ago is the UK’s Catalyst program which targets promising segments. Another is the business and technology ecosystem approach promoted by Business Finland which brings together local businesses and promotes complementary expertise and technologies such as AI and IoT. These examples suggest that government and regional development agencies will play a greater role in part-funding and orchestrating strategic areas of the IoT market. 

Developments To Watch 

While the journey to implementing IoT systems looks like a well-trodden path, it is not free of risk and there are still grounds for acting with prudence. Adopters and supply-side innovators need to weigh the long-term implications of initial design decisions and the opportunities that might be sacrificed against the allure fast-to-market strategies. The first issue is the extent to which a user locks itself into a vendor, solution-provider, or technology environment. How real are the switching opportunities in the future and, what might be the associated costs? Also, as a user’s needs evolve, is the underlying technology or supplier team capable of adapting to support deployments that might operate and evolve for periods of 5 to 10 years? 

One "Pane of Glass" (source IEEE, 2021)

A second development to manage stems from the vast opportunity space for IoT applications when considering combinations of data sources and applications. This is where businesses need to focus on interoperability. Consider an example from the early days of the M2M market. Then, application enablement platform (AEP) providers would talk about a single-pane view when overseeing a handful of applications. The metaphor comes from an operator avoiding the need to swivel their chair from one display unit to the next when supervising several applications. This remains an issue in today’s IoT market to the extent that it featured in a cloud computing standard that the IEEE announced in December to facilitate intercloud interoperability and federation [2]. 

In the wider scheme of things, there are multiple facets to the concept of interoperability. It can apply to the interchangeability of components sourced from different suppliers, or to the ability to switch connectivity across different communications networks. In the future, interoperability will apply to silo-applications and IoT data with the aim of making data discoverable, recognizable, and shareable in multi-user environments. While hardware and connectivity interoperability is important today, an important topic for the future concerns data interoperability which applies to combining data hosted in different cloud-provider environments to highly automated IoT systems that depend on semantic capabilities. 

A final consideration is about anticipating and positioning for continuing evolution in the IoT market. How do hardware providers deal with the value squeeze arising from economies of scale and impact on per-unit pricing? In a different segment of the market, connectivity providers have experienced many years of per-device revenue dilution. How do they position themselves to drive revenue and profitability growth through complementary services and entry into new markets linked to the rise of AI and data management? Unlike the start-up scene from the beginning of this article, established service and solution providers companies are higher up the IoT staircase. While they are up and running, there are many more steps to climb. 

[1] The 1,200 IoT companies that are creating the connected world of the future – IoT Startup Landscape 2021 https://iot-analytics.com/iot-startup-landscape/ 

[2] IEEE Approves Cloud Computing Standard - https://www.standict.eu/news/ieee-intercloud-interoperability-standard 

IMAGE CREDITS: Jukan Tateisi and Lindsay Henwood via unsplash.com

A Framework for AI and IoT

Early in my career, I had the good fortune to work on several research and innovation projects on the topics of AI and ML. These project used mathematical techniques to model the dynamic behavior of machines and to work out if they were developing faults. This are known as ‘condition monitoring’ and ‘predictive maintenance’ procedures. These projects involved data from real machines, not simulations. They included an industrial scale diesel generator, a gas-turbine used for ship propulsion and, black-box data from military aircraft [1].

In modern terminology, these projects involved the creation of digital twins from IoT data. They began by collecting time series data around events such a change in operating speed. This is important because systems do not provide dynamically rich data under static operating conditions. Think of a lightbulb with a hairline crack in its filament. Unless you have incredible eyesight, it is impossible to tell if the lightbulb is work on not. However, if you gently tap the lightbulb, you will hear the filament vibrate. That is what reveals that the broken is bulb. In addition to the signal processing aspects, this diagnostic and testing process relies on our mental model of how filament lightbulbs work.

Telcos and Smart Cities

Earlier this month, the publications team from Mobile Europe hosted their Smart IoT Connect event in London [1]. This is one in a regular series that examines the role of the telecoms ecosystem against

a backdrop of opportunities across the Internet of Things (IoT) industry. I was fortunate to attend and here are a few highlights from this year’s event which focused on the smart cities sector.

In broad terms, the supply-side of the industry is maturing. Businesses are focusing on the practicalities of closing commercial deals in contrast to launching exploratory pilot projects. There is a realization that the smart city proposition and sales process spans a wider set of parameters than telco connectivity. Telcos are talking about new commercial models and service solutions, such as data management, that map to higher levels of the IoT solutions stack and above the connectivity layer. However, based on what was presented it is going to take time to translate strategy into execution, at scale, and commercial success. The number of local government representatives attending the event reflected positively on the demand side of the equation. It validates a key theme throughout the event about the need to bridge the public-sector-to-telco knowledge gap.

MNOs’ IoT Platform Predicament

IoT Analytics, the German market research firm, recently published a customer satisfaction assessment of IoT platforms [1]. It covers 50 vendors and applies a broad definition for IoT platforms. At one end of the spectrum, there are multi-purpose cloud infrastructure and platforms, such as those offered by Amazon and Microsoft. At the other end are platforms for niche users, with machine builders as one example.

IoT Analytics used feedback from senior executives in organizations that procured and are deploying IoT solutions to rate the top-25 platforms. There is a slight bias to North America, which accounted for 40% of the mix. Europe (25%), APAC (25%) and MEA (10%) make up the rest of the survey.

For this post, I propose to focus on a summary chart. This maps leaders, challengers and follower IoT platforms across technology and customer-centricity dimensions. The chart highlights a predicament for mobile network operators and especially the large European operators.

Joined-up thinking for smart cities

What are the more common justifications for smart city investments? Citizen-centred service needs, political priorities and a positive return-on-investment (RoI) would certainly feature in the list of possibilities.

All too often, however, individual smart city initiatives are destined to become orphan investments [1]. These are standalone or siloed solutions. They meet a timing imperative or they are designed in isolation from system-wide factors [2].

The investment case for Smart City data

I recently attended the Smart Cities Connect conference in Kansas, MO. There, I moderated a panel on data marketplaces and collaborative approaches to smart city solutions.

The event demonstrated that there is a growing body of interest in smart city solutions. It also highlighted several themes that should dominate the agenda in coming years. The more interesting topics included collaboration, interoperability and principles of data monetization.

Innovation at ETSI IoT Week 2017

Last week, I attended ETSI's IoT Week, an annual event to explore the IoT standardization landscape and to see how industry and academics, around the world, are testing IoT implementation ideas for the future. Not surprisingly, the oneM2M standard featured prominently in the program and the display zone of demonstrator projects given that ETSI is one of 8 standards development organization (SDO) partners in the oneM2M project.

However, not everything on the agenda centered on oneM2M. Other standardization efforts were also represented including: ESMIG (energy); SigFox and LoRA Alliance in the LPWAN sector; ZigBee Alliance; and, international organizations such as ISO, IEC. And, several companies, including MNOs, demonstrated how they are addressing new business and revenue opportunities beyond IoT connectivity.

IoT Reference Design Framework

The IoT industry seems deeply preoccupied over ideas for IoT reference architectures, cloud-based platforms and edge computing technologies. However, before solution designers leap to the latest flavor of technology, it is worth stepping back to reflect on the characteristics of an IoT application or, more realistically, a group of interoperable applications and then to translate these into a set of logical requirements.

The next step is to map these logical requirements into a physical architecture, which entails a process of design, performance and cost trade-offs, to select suitable technical solutions. This approach avoids the pitfalls of working back from any given technology and positing it as the solution to all IoT problems.

Reality bites for low-power wide-area IoT

A few weeks ago, I commented on a LightReading article [1] on the topic of IoT prospects for wireless operators. I received positive feedback and a few questions about my observations on the revenue drivers that will shape operator strategies over the long run. In essence, I pointed out that wireless operators can grow in three directions and that their individual strategies will be a hybrid of the alternatives.

Readers can digest the full logic of a presentation that oneM2M Partnership Project invited to deliver at a workshop hosted by ETSI [2] in December 2015. In summary, I outlined how operators can grow along three dimensions.

IoT alliances and interoperability

I have recently been consulting on the topic of IoT Platform strategy with a particular focus on the recently issued oneM2M standard. As part of this work, I researched the activities of different IoT alliances and industry groups because there is a lot of industry discussion about competing standards.

In discussions with company executives, a recurring theme is that nobody wants to take a bet on any single ‘standards’ approach. As a result, many companies choose to hedge their bets and participate in multiple initiatives. Having examined several of the leading initiatives from different dimensions, it’s debatable whether companies are getting a strategic, product-development return on their participation (setting aside brand-building and corporate networking benefits).

There are many different ways to look at each of initiatives. For this post, let’s begin by concentrating on their mission and primary objectives.

2014 Corporate Initiatives; market rules are changing

Following several years of rapid growth, the 141 corporate initiatives in 2014 almost matched the 147 events that occurred in 2013.

In 2014, companies in the M2M eco-system were less active in several areas. As illustrated below, there were fewer recorded events of companies either: expanding into new market segments; promoting new technology; and, entering into partnering agreements. Product innovation saw a rise in activity as companies launched new products and services. In general, these addressed the needs for specific customer applications.

Verticals, Horizontal- and IoT-Platforms

One of the implementation challenges that historically acted to restrain the M2M market is the issue of vertical-specific requirements. Each solution necessitated a new and/or tailored IT development effort; this had an impact on solution development costs and constrained the opportunity to realise meaningful economies of scale.

Over the past few years, the M2M industry has expanded in potential scale and scope. It is now interlinked with high volume, consumer oriented application opportunities and, more recently, with an extremely broad scope of connected devices under the Internet of Things/Internet of Everything/Industrial Internet umbrella. Most recently, this evolution has spawned a number of platform announcements from M2M market research firms and also from businesses, such as Aeris, GE and Wind River, many of which are recasting M2M capabilities in an IoT light. Was any of this predictable?

Prices and Value of Consumer Data

The topic of personal data has interested me for a number of years because it is at the heart of new approaches to marketing and service development based on connected devices. I have written about the commercial potential of personal data from a business model perspective [1] for the GSM Association and introduced the concept of Stewardship and Platform Innovator strategies for companies in the mobile eco-system.

I was therefore pleased to see the Financial Times (FT) publish a series of articles on consumer data. Accompanying this series is an interactive calculator [2] that allows readers to determine a price for their personal data based on pricing benchmarks supplied by a data broker. After filling in the options for my own profile - in terms of demographics, family and health, property, activities of interest, and consumer behaviors - it appears that the price for my personal profile is about US$0.80.

Developing IoT Privacy as a Value Proposition

Companies offering services based on connected devices will increasingly have access to significant amounts of highly granular data about consumers and their connected devices. This trend is heightening privacy-related concerns about the way that such data might be used and the potential for consumers to be harmed.

The U.S. Federal Trade Commission’s recently launched an inquiry into privacy and security implications of the Internet of Things. In the commentary below, I outline my views of the key issues from a business perspective. One key consideration is to demonstrate the economic value that companies are currently capturing by combining consumer data from multiple sources.

I also highlight the fact that there will be beneficial as well as harmful uses of private data. While consumers should be protected against harmful scenarios, policy makers and business organizations that have an interest in the long-term viability of the IoT market also need to ensure that consumers are not ruthlessly exploited under apparently beneficial situations. Through this perspective, concepts of trust and stewardship related to the use of private data can be developed into new and appealing value propositions.

M2M valuation

Connected device applications are not all equal. Consumer-oriented devices may have a revenue generating life of 2-3 years while cars and industrial machinery a life of 5-8 years. In extreme cases, utility-like devices related to smart grid or smart city transport may be operational for even longer periods of time.

As a result of these variations, business developers and CFOs need suitable tools to manage both the risks and the rewards associated with different application opportunities. This is where valuation techniques become useful. They not only help to quantify new opportunities but they can also drive business model innovation.

Connected-device business models in the US Market

(published in RCR Wireless - 26 Nov 2012)

A previous article in RCR Wireless magazine highlighted the topic of new M2M business models with reference to the size and characteristics of this fast growing market opportunity. It also highlighted the central role that communications service providers (CSPs) occupy in the eco-system. Beyond traditional data plans, however, what are the new business models that will allow the full market potential to be attained?

Competitive dynamics of international M2M alliances

This note will be updated in light of new alliance announcements. 

In July of 2012, seven mobile operators announced a cooperation agreement featuring a unique SIM. This appears to be a move to address a segment of customers seeking to deploy global connected devices and to compete with Vodafone's global SIM offering. However, there are other competitive dynamics at play and longer term corporate strategy implications for companies that are using partnering approaches as a rapid means of market entry.

Reference framework to analyse and design business models

A ‘business case’ for a particular business venture quantifies its financial profile and net present value taking account its inherent level of risk. This is essentially an exercise in projecting future costs and revenues based on assumptions about products and services offered to targeted customers, and the investment in equipment and operations necessary to achieve this.

‘Business model’ is a term that describes the how an organization captures commercial value from a particular business opportunity. In other words, what are the different elements that an organization employs to deliver a valued product or service to a target customer group in a commercially sustainable manner?

Origins of "More With Mobile"

In 2008, the mobile industry started to pay serious attention to new types of connected device. Amazon's Kindle played an important role in this process. Unlike the traditional M2M market, the Kindle was the first mass-market device with embedded connectivity. 

The Kindle also introduced a new payment model to the industry in the form of a $9.99 charge to download an eBook. At that time, mobile operators were selling airtime plans for data cards and USB dongles to a consumer base that had little notion of how many mega-bytes they needed on a monthly basis. 

In a similar vein, mobile operator executives were intrigued by another company - Cardionet - which offered a remote patient monitoring service. The fact that the company earned over $2,000 per month for each connected device was another attention grabber in a mobile market where average mobile phone ARPUs were closer to $50/month.

These two connected device designs actually delivered an elegant service that masked a great deal of technical complexity. They exemplify the revolution that was about to transform the traditional M2M market. 

Since 2008, the mobile industry has journeyed along the connected devices highway. Initially, the focus was on embedded mobility and measures to bring down the cost of integrating mobility in new and existing devices. Opportunities to apply mobile connectivity in different vertical markets such as automotive, healthcare, smart cities and utilities shifted the market focus on 'Connected Experiences'. Now, the proliferation of different types of wireless devices using technologies such as mobile, Bluetooth, Wi-Fi, Zigbee etc. is shifting industry attention to the Internet of Things market. 

I have been involved in the growth of this industry since its inception having contributed to a strategy project that was initiated by the Board of the GSM Association to identify new growth markets for the mobile industry. Most of my current work is for companies that are developing their business plans to launch new services in this market. I advise on strategy, market analysis and business model issues. And, as more and more companies factor connectivity in their business, product and service strategies it will become evident that they will accomplish a great deal more with mobile.