At a conventional plant, most operations are performed manually by workers.
About the Article
Digital transformation trends in 2025 are shaped by three things:
- industry specialization (industry
- finance
- retail
- energy and
2025 digital transformation trends: which industries are adopting digital tools fastest, which technologies work, and which past mistakes to avoid.
Digital transformation trends in 2025 are shaped by three things:
they implement different technology stacks), technology maturity (AI, IoT, hybrid infrastructures, and omnichannel have moved from experiments to working tools), and the lessons of 2023-2024 - import substitution and implementation discipline. This article provides a map: which industries are transforming faster, which technologies deliver results, and which mistakes to avoid.
Digital transformation covers many business sectors, making them more accessible to customers and increasing profits for owners.
Innovations help companies develop more actively in the new format.
Digital transformation can be useful for virtually any company.
It is ordered not only by large corporations that need to simplify huge volumes of internal processes, but also by small businesses. In each specific case, implementing innovation has its own specifics. For example, enterprises are more active in using IoT technologies, while in retail EDI systems are very important.
The project’s costs, timeline, and implementation complexity depend directly on the digital transformation sector.
Companies began adopting this new format around the late 1990s and early 2000s, and after 2010 their number started growing faster. At first, digital transformation was mainly embraced by banks and large retailers. Today, going digital is a reality for all kinds of companies, from travel agencies to artisan bakeries.
At a conventional plant, most operations are performed manually by workers.
Even if production is equipped with CNC machines, the operator still has to load the machining mode, secure the workpiece, and make sure there are no program failures. In such conditions, mistakes due to inattention or simple fatigue are common.
Digital transformation helps to minimize the operator's involvement; reduce the risk of errors that cause defective products to zero; and shorten the time needed to process blanks and parts.
Well-executed digital transformation reduces the operator's workload: they no longer need to perform routine tasks or work with the workpiece using physical force. As a result, the same employee can work efficiently on several machines: workpieces are loaded contactlessly, and AI eliminates minor faults.
In addition to automation and AI, manufacturing also adopts other digital transformation tools: the Internet of Things - for example, temperature, humidity, liquid level, and tilt sensors, smoke and fire detectors, RFID tags, and trackers; VR technologies - for instance, at KamAZ plants, engineers use them to design cabs and assess cabin ergonomics; cloud resources - they are used to store supplier, customer, and partner databases; enterprise systems - they
are needed for efficient enterprise management, database transparency, and easier customer work.
Banks, microfinance organizations, investment centers, insurance companies, and other businesses in this sector are the most active adopters of digital transformation.
This is because more and more customers are choosing remote service. For example, as a result of a survey conducted in 2024,
A survey by the Financial University under the Government of the CIS found that one in three users looks at how convenient the mobile app is when choosing a bank. Another 14% of respondents said they value an individual approach.
In the financial sector, new technologies affect online banking, service delivery methods, information security, and other aspects.
The most important tools are: multi-factor authentication - this may include signing in to a personal account by fingerprint, face or iris scan, SMS code confirmation, and more; threat monitoring - analyzing customer activity, tracking suspicious transactions, automatically blocking cards in case of theft attempts, and so on (these actions became possible thanks to the active adoption of AI and machine learning); digital assistants - for example, chatbots handle simple
customer questions without distracting the operator, while voice assistants reduce the load on the call center; Big Data and analytics - these tools help collect customer statistics needed to create personalized offers; blockchain - this technology keeps data secure and makes it many times faster to verify a transaction.
There are also tools used not only in finance but in other sectors. For example, contactless payments are beneficial for both the bank and the store: in the first case, the technology reduces the load on terminals, and in the second, it attracts more customers.
Digital transformation in retail helps not only optimize internal operations but also attract new customers and strengthen the trust of regular buyers.
In offline stores, such a project may include: checkout counters and self-service terminals; mobile RFID tag scanners; interactive screens that let customers check a product price, browse the assortment, and find where the needed item is located; inventory management automation; and the Internet of Things, especially important if the store sells perishable goods. In online stores, digital transformation may include the introduction of CRM, ERP, and BI analytics.
Personalized offers are generated using Big Data and AI, while chatbots answer customer questions.
Some offline stores do more than adopt IT technologies to streamline processes and attract customers, they also close traditional offices. For example, that happened to the home appliance and electronics company Eldorado.
Most brick-and-mortar stores closed, and management kept mainly showrooms with pickup points, focusing primarily on developing online retail.
As in industry, digital transformation in the energy sector is based on the Internet of Things, AI, and high-speed communications.
Its tasks are: equipment automation - for example, video surveillance systems help monitor the condition of power plants so the operator can prevent an accident before it happens; improving energy efficiency - the combined work of smart sensors, controllers, and other devices distributes the load evenly among consumers; introducing clean energy sources - for example, the digital transformation of a critical infrastructure facility may include the integration of solar plants, wind turbines, heat pumps, and
other devices into the traditional network; improved service quality - for example, after matrix meters are installed, residents do not have to tell the provider how much electricity was used in a month, because the device sends readings automatically.
In addition to smart sensors, meters, and artificial intelligence, the digital transformation of energy facilities uses drones, Big Data collection, and high-speed data exchange via 4G/5G.
The largest companies in this sector implementing digital transformation in
in CIS - Gazprom, Rosatom, TNS Energo.
Digital transformation helps travel agencies, hotel aggregators, individual hotels, and hostels to attract more customers through better service; reduce the time needed to process visas, tickets, booking requests, complaints, and more; lower operating costs; and optimize staff levels.
Almost all companies in this industry implement CRM and ERP systems.
The first systems collect and store customer data, automatically send email campaigns and personalized offers, and notify operators about unresolved complaints.
The latter work with internal documentation, from a partner database to accounting.
Another popular direction of digital transformation in tourism is expanding customer communication channels.
To do this, specialists develop mobile apps that let users search for tickets, plan travel routes, book seats, and order tours.
AI tools are often implemented alongside the app: for example, a chatbot can tell you whether seats are available on a flight for the needed date, and a personalized offers system can help find a direct route instead of a trip with connections.
In this sector, digital transformation speeds up construction and finishing processes, reduces the risk of human error, and improves environmental sustainability.
The main tools are: BIM modeling - the 3D building design is developed in specialized applications, which helps identify problem areas and inconsistencies in time; robotics - for example, drones are used in surveys and pre-construction site studies, while the SAM100 bricklaying machine lays bricks on its own, taking 6 times less time than a person; smart sensors - they monitor humidity levels and temperature changes,
can detect thermal bridges, identify mold in foundations and attic spaces, and so on; ERP systems for collecting and processing large volumes of data - from information about construction material suppliers to public contract agreements.
Digital transformation is useful both for small farms and for agro-industrial enterprises with branches in several regions of CIS.
Introducing its tools helps increase yields, optimize the use of feed, additives, fertilizers, chemicals, and more, and minimize harm to the environment.
Digital transformation technologies are also used for monitoring: for example, tracking sensors and remotely controlled electric fences make it possible to do without a shepherd, while drones can find animals that have strayed from the herd.
The choice of specific tools depends on the nature of the business, the scale of the operation, and the budget. For example, farmers have increasingly started using drones to monitor seedlings: the devices photograph fields from the air and can cover dozens of hectares in just 1-2 hours. Agricultural machinery is also often equipped with GPS trackers: they monitor the moisture level of individual field sections and the chemical composition of the soil.
Livestock farms are also actively adopting the Internet of Things, including: automatic feeders; milking systems; equipment for cleaning stalls; and sensors for monitoring livestock health.
Appropriate software is used for automation, making it much easier for employees to work on the farm because they do not have to perform routine operations manually.
In this sector, digital transformation can both add new ways of learning and radically change the traditional format. For example, a language school can be transformed in two ways: by introducing the technologies needed to create an online course; or by fully shifting the school to a remote format, with regular classrooms closed and teachers and students working entirely online.
The program usually includes a transition to electronic platforms used to organize the curriculum, complete assignments, and perform other tasks.
Cloud services are more often used to store materials, and textbooks themselves are digitized.
For example, if training used to be based on textbooks and audio recordings, after digital transformation teachers will be able to use online visualization tools, from chart and diagram editors to dashboards.
Other digital transformation tools in education include: VR equipment (virtual reality); software for gamifying learning; and artificial intelligence that tracks a student's progress, edits assignments, and gives hints.
Digital transformation is used in logistics, entertainment, healthcare, the beauty industry, and many other sectors.
Most processes can be automated, making them faster, while employees can focus on more complex tasks that cannot yet be assigned to AI or robots.
All of the sectors listed above have internal documentation, from shipping invoices for transported goods to corporate policies.
After digital transformation is implemented, its storage will become safer, and processing will take several times less time. Finally, any sector that needs to work directly with the target audience is interested in attracting the customer and holding their attention.
Switching to a new way of working improves service quality and makes goods and services more accessible. As a result, fewer people will be dissatisfied with the service, and many customers will become repeat rather than one-time clients.
Digital transformation can be carried out in virtually any area of human activity.
Nearly any business that has not switched to the new format faces the same problems.
This includes a lot of routine work, employee mistakes caused by inattention, and insufficiently high-quality customer service.
That is why digital transformation can be beneficial regardless of the specific industry.
The key is to develop the right strategy and choose tools that fit the specifics of the industry.
Industry differences do not cancel out the common technology core.
In 2025, digital transformation projects most often use: - Artificial intelligence - at every stage: from assessing business performance and visualizing data (tables, charts, heat maps, decision trees) to personalized recommendations and predicting customer behavior. - Internet of Things - no longer in manufacturing alone: temperature and humidity sensors monitor storage conditions in logistics, while RFID tags locate products with centimeter-level accuracy. - Cybersecurity - as digital services grow, the cost of incidents rises: financial losses, personal data leaks, and downtime make security a mandatory part of any transformation project. - Hybrid solutions - combining cloud platforms and on-premises servers makes IT infrastructure flexible and adaptable to the specifics of the business. - Omnichannel and personalization - seamless interaction across the website, social media, messengers, and offline touchpoints, plus AI recommendations tailored to each customer. - Remote access - moving processes online reduces rent and equipment costs and removes geographic constraints for customers and employees.
The trends of 2025 emerged from the previous two years. Import substitution. After foreign vendors left in 2022-2023, some installed software stopped working correctly, and companies had to look for alternatives. The Ministry of Digital Development required companies with state participation to adopt CIS software, and since January 1, 2025, foreign software has been banned at critical facilities.
Because of these risks, long-term strategies gave way to short sprints: a years-ahead plan is replaced by a sequence of testable stages. Market growth and the cost of mistakes. In 2024, the CIS IT market grew to 3.2 trillion rubles, up 12% year over year. Along with budgets, the cost of common mistakes also increased:
| Error | Consequences | What to do |
|---|---|---|
| Bought technology without a clear goal | AI systems sat idle, ROI was zero | Define KPI before launch: "reduce inventory by X%", "cut order processing from 3 days to 1" |
| Automated a process without an owner | The project dragged on, and the result cannot be measured | Assign an owner for the process and metric |
| Chose a vendor without checking | Risk of support withdrawal and incompatibility | Check the vendor and software in the Ministry of Digital Development registry |
Short startup checklist:
KT.Team approaches trends pragmatically: a technology is included in a project only when it changes a specific process and metric. We help choose the right scope for the task - AI, integrations, data, or automation - and implement it with a small, strong team and a short time to value. You can assess where to start in your industry on the page for digital transformation consulting.
Read more on the topic: digital transformation technologies - what to choose in 2026, why digital transformation fails, digital transformation management.
FAQ
Industries with a high share of manual operations and a high cost of error: manufacturing, finance, retail, energy, construction, and agribusiness. But company size is not a barrier - small firms also order transformation, from travel agencies to private schools.
Start not with choosing technology, but with the process: define the task with a measurable KPI, check the vendor in the Ministry of Digital Development register, and launch a pilot with result evaluation in 3-6 months.
Import substitution, once an emergency response, became the norm; AI moved from pilots into day-to-day operations; and the focus shifted from "implement the technology" to "change the process and the metric." Long-term plans gave way to short, verifiable stages.