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Venture investments in Russian IoT: where is it really worth investing

The Russian Internet of Things (IoT) market is at a turning point: the period of bright pilot projects and experiments is gradually giving way to a stage of maturity, where industrial implementation and scalability come to the fore. The market volume, which reached 180 billion rubles in 2024 and is growing by 15% annually, confirms: IoT in Russia is no longer a hypothesis, but a full-fledged sector of the economy. For venture investors, that means it’s time to shift focus from the technology’s overall promise to specific niches and business models that have already proven viable.

Russian IoT market: reaching maturity level

A few years ago, the idea dominated that it was enough to build a large-scale network coverage – and millions of connected devices themselves would come to the market, but this model did not work. It turned out that business needs not just a “pipe” for data, but a ready-made solution with measurable efficiency.

Today’s market maturity is the result of two key drivers. Firstly, this is the policy of import substitution, which freed up niches in industrial automation and stimulated the development of domestic technological stacks. Russian vendors got a chance to offer not just analogues, but products more adapted to local specifics. Secondly, this is natural selection: those companies that have survived and flourish have been able to demonstrate to customers real economic benefits – reducing operating costs, increasing productivity or preventing expensive downtime.

The main question for the investor today is not “does the technology work,” but “is the developer company ready to scale successful cases?” We are talking about the transition from point implementations to replicated solutions, but it is on this path that the main challenge lies.

The readiness of Russian industrial companies to scale up IoT solutions today cannot be assessed unequivocally: demand and an understanding of value have already been formed, but the transition from pilot projects to full-scale implementation is still accompanied by system barriers. The key complexity is organizational, not technological. In industry, there are practically no “ready” products. Any implementation turns into deep project work that requires immersion in business processes, integration with the legacy infrastructure and consideration of unique industry specifics. A large enterprise understands very quickly: it depends not so much on the solution itself as on the competencies and flexibility of the team that implements and accompanies it.

Awareness of this gives rise to a typical market reaction – the customer’s desire to create his own team and develop solutions within the company. On the one hand, this is strategically justified and reduces operational risks. On the other hand, it slows down the pace of implementation, leads to excessive customization and, in fact, contradicts the very logic of scaling, returning the market to the model of “handmade” projects.

Thus, a new frontier for market leaders is the ability to offer not just technology, but a hybrid model of cooperation – a finished product enriched with deep expertise and flexible services, that allows to achieve a measurable result without losing control from the customer and total restructuring of his internal processes.

Focus on B2B and B2G segments: where the real monetization lies

For a venture investor looking for significant returns, the real gems lurk in the corporate and public sectors. It is here that projects have a large budget, clear KPIs and huge potential for replication. The consumer segment with its smart kettles remains on the periphery of investment attractiveness due to high competition and low margins.

When assessing the prospects of niches, it is worth focusing on two key factors: regulatory drivers and an obvious, easily calculated economic effect. This combination creates the most mature and predictable demand, allowing projects to move quickly from pilots to large-scale implementations.

From this point of view, several industry locomotives with confirmed monetization can be distinguished:

  1. Smart meters and metering infrastructure. This is an area where regulatory requirements form a stable demand. The transition to remote data collection and automated accounting is not just convenience, but a mandatory element of digitalization of housing and communal services and energy. The economic effect – reducing losses, reducing maintenance costs – is calculated in advance and confirmed by pilots almost always.
  2. Smart city lighting and infrastructure. Municipalities understand the savings in electricity and light point maintenance. Here monetization works especially well, because the effect is not only obvious, but also fixed normatively and budgetarily. Projects scale easily and payback period is transparent.
  3. Industrial sensors and equipment monitoring.
  4. In industry, as noted earlier, there are no “ready” solutions, but there is a huge need to prevent expensive downtime. The most sustainable business model here is not the sale of hardware, but the provision of a service that guarantees an increase in the overall efficiency of equipment and the prevention of accidents. The effect for the customer are millions saved on unplanned repairs and lost products, that makes such solutions high-margin.

The most effective business models here are not just the sales of equipment, but service models focused on customer value. For example, the “payment for the result” model, when the client pays not for the volume of transmitted data or installed sensors, but for a specific business result: for increasing the yield per hectare, for reducing the percentage of defects on the production line, etc. In this case, the solution provider assumes the risks and profits only if the targets are met.

Technologies that enhance the value of IoT solutions

Modern IoT is no longer just a network of sensors. Its real value to the investor is revealed through integration with other disruptive technologies. Investments should be directed to companies that understand this synergy.

Key combinations that increase investment attractiveness:

  • IoT + Artificial Intelligence (AI). Almost any project rests on finding the right balance between processing data on peripheral devices (edge) and using cloud analytics (cloud). Edge allows to reduce traffic, increase reliability and respond faster to events – this is critical where the communication infrastructure is unstable or where delays are unacceptable. Cloud provides power for deep models and long-term analysis. Finding the optimal proportion is the very competitive advantage: the customer receives both predictive analytics and stability of work, regardless of the quality of the communication channel.
  • IoT + Modern communication protocols. The effectiveness of solutions depends directly on the choice of technology. Projects using LPWAN networks (for example, LoRaWAN) are suitable for tasks with high coverage and long battery life, which is critical for agrotech and smart city.
  • IoT + Cybersecurity. With the growing number of connected devices, the risk of cyber attacks is also growing. Investments in companies that are initially focused on security (the Security by Design principle) are investments in the long-term sustainability of the business, especially facing the growing number of incidents.

Project selection criteria for venture capital investments

Given the maturity of the market, an investor should evaluate startups not only through the prism of technology, but also through the prism of business. Key selection criteria:

  1. A strong team with deep subject matter expertise. It is important to see not just talented technocrats, but people who deeply understand the industry where they work. Experience in the energy sector, housing and communal services or the agricultural sector is often more valuable than knowledge of the latest tech trends.
  2. Validated demand and work with first customers. A working prototype is good, but pilots with anchor customers who are willing to pay and give feedback is immeasurably better. This removes the main risks and confirms market demand.
  3. A clear and realistic scaling strategy. How does the startup plan to grow its customer base? Does it understand the sales channels and his direct competitors? The more specific the roadmap for going beyond the pilot projects, the lower the investor’s risks.
  4. Sustainable business model. Preference should be given to companies that work on SaaS models, as they provide recurring revenue and scale better.
  5. The ability of a startup to work with industrial restrictions and regulation. The Russian IoT market is highly dependent on industry standards, safety requirements and facility specifics. If the solution does not take these constraints into account at the outset, it cannot be scaled even if the technology is strong. It is important for investors to look not only at the product itself, but also at how deeply the team understands: industrial cybersecurity requirements; industry communication and telemetry standards; regulatory framework in energy, housing and communal services, transport, etc. This is what distinguishes a prototype from a real industrial solution.
  6. Architectural maturity: how a startup balances edge and cloud. For IoT in Russia, this is becoming a determining factor. Networks are heterogeneous, channels are limited, and access to the cloud is not always guaranteed. A startup that lays down a hybrid architecture – distributed data processing on edge devices (i.e., on the periphery, close to the data source), as well as powerful analytics in the cloud – gets a key advantage. This solution remains operational in the event of a loss of communication, reduces data transmission costs and provides minimal latency for real-time systems. This is direct evidence of technical maturity and understanding of real operating conditions.

The Russian IoT market is ripe for serious investments. The focus should be shifted towards B2B/B2G segments, where technology integrates with AI and provides cybersecurity. By choosing projects with a strong team with industry expertise and the first successes with real clients, an investor can not just support promising technology, but invest in a sustainable business with clear monetization and growth potential. Venture investments in IoT today are a bet not on technological “hype,” but on pragmatic digitalization of key sectors of the Russian economy.

By Dmitry Poltorak, General Director of Lartech Group

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