Skip to content
#AI

[2/2] Trend report: GenAI market in 2025 year - Application, personnel, investments, growth scenarios (AI column)

#AI #Engineering #Software #Management #Economics

Continue. story In this report, it should be said that GenAI technologies are moving into the phase of practical implementation. Po Po data Skara, 40% of Russian IT companies have already launched full-featured GenAI projects, and only 8The percentage hasn't tried AI at all. Business no longer refers to generative models as a curiosity - they are fixed in strategies and create commands for them: 45% of companies have separate departments or competence centers for AI. GenAI has become an integral part of digital transformation.

Generative models turned out to be a universal tool, and several basic cases have already been identified. Here are the key areas where Russian businesses are using GenAI in practice:

  • Content creation (texts, code, images). Automation of routine creativity - from writing articles, descriptions and marketing materials to generating source code on a technical task.
  • “Smart” search and work with knowledge bases. LLM in combination with RAG allows you to implement intelligent search on internal documents, directories, technical documentation. The user asks in natural language, and the system finds and generates an answer based on internal data. Chatbots and voice assistants for customers. Now. 59percent use AI assistants to communicate with users. Generative AI has given bots flexibility: they understand more complex questions and can formulate natural answers rather than picking from blanks. - Speech analytics and monitoring. GenAI is used to analyze calls for emotion or fraud: models recognize dialog text and identify suspicious signs. Another example is the decoding of calls and meetings, followed by autocomposing a protocol and a list of tasks. Data analysis and reporting generation. LLMs are able to swallow an array of raw data and give a human report: whether it is a sales summary, an analytical note or a response to an Ad hoc query.

Accelerated growth in application revealed the shortage of qualified specialists. Competition for talent leads to higher wages, companies create internal training programs. On the other hand, many organizations have already invested in their own expertise and began to prepare personnel for themselves, to grow product teams with AI skills.

Funding for GenAI projects in Russia is centered around major players. Estimated major infusions do Savings and the Russian Direct Investment Fund (RDIP). Market size of LLM-based products in 2024 The year is estimated at just ~35 ruble

The authors of the report identify several options for the development of the Russian GenAI market 2030 year. - The pessimistic scenario (stagnation)Strict restrictions remain, businesses frustrated by isolated incidents (inaccurate answers, leaks)Regulators impose strict barriers. In this case, the companies are curtailing activity after the pilots, and the market growth is of the order. 10–15Percent per year and GenAI remains niche

  • Realistic scenario (growth)Large players continue to invest, successful cases gradually appear, business confidence increases. The market then grows by about 25percent (valued4 billion 2030 year). GenAI is firmly in place in selected industries. (finance, retail, manufacturing)But the gap with world leaders is still palpable. - Optimistic scenario (breakthrough and scale)Requires easing of technological limitations, as well as training and the emergence of high-profile successes that will push medium-sized businesses to mass adoption. Rising order 35–40% per year, and the Russian dynamics is close to the world. GenAI projects would become commonplace in most companies, market assessment 5–6 billion 2030 d.

In Itoog, we see how GenAI moves into the position of a familiar tool, but its development can continue along different tracks depending on the players inside Russia, as well as the global political situation.

#Engineering #AI #Software #Management #Economics