The big data market is growing at a tremendous pace. What you need to know

Modern business can no longer do without working with big data. Their processing and analysis are the key to high efficiency in almost any industry. The big data market is growing rapidly from year to year and has become an independent branch of the digital economy. What they are and what opportunities they provide are in the Izvestia material.

What is Big Data?

• Big data, or big data, is an independent branch of analytics based on processing such huge amounts of data that require the use of modern information technologies. As a rule, the term is applied to information, the study of which will have commercial value and will improve the business performance of the customer. However, the goals of big data analytics are not limited to this, and their processing is also needed by non-profit and government agencies.

• The development of the big data phenomenon is associated with the explosive growth of the amount of information created by mankind. In 1986, the entire global data set was estimated at 2.6 million TB in analog form and 200 thousand In 2007, 280 million TB of digital information and 19 million TB of analog information were collected. In September 2025, it was estimated that 402 million TB of diverse information would be generated in just one day. Since then, this indicator has only continued to grow at an incredible pace.

• Most of this information flow is beyond human comprehension and awareness, not only because of the sheer volume, but also because of the nature of the existing information. It can mean any seemingly meaningless little thing that has left its mark on the Internet. However, modern big data services can not only accept these exorbitant data, but also detect patterns in them and draw useful conclusions based on them.

• Big data has three main features, known as VVV: volume, velocity, and variety. Over time, two more attributes were added to them: value and veracity. First of all, big data processing tools need to be prepared for the fact that information will arrive in huge volumes, at high speed and in various forms, while it must be valuable and truthful.

How to work with big data

• The first step in working with big data is to collect it. This may be the company's own data generated during transactions, order processing, and communication with customers. It can also be data obtained from outside: posts on social networks and blogs, instrument readings, statistics collected by other organizations. Anything can matter, even how often a site user has to click with the mouse when ordering a product, as this will help to understand whether it is possible to improve the interface of the page and make the shopping experience more enjoyable.

• The problem with big data is that the information collected may or may not have a specific structure at all. The data can come in the form of understandable tables and rows, ready for processing, or in the form of texts, conversations, images, and sensory data, which require a separate management system and are reduced to a form available for subsequent analysis. This makes it difficult to work with big data, but modern processing methods can handle this as well.

• The collection of information is followed by its processing. Big data can come in a "dirty" form, with a lot of unnecessary, duplicated and simply contradictory or erroneous information that should not be taken into account in subsequent work. The reliability of the final analysis, which is the third stage of working with big data, depends on how this stage is completed. It consists in identifying patterns, predicting and visualizing the results for the client.

• At the same time, working with big data involves certain risks. A security system must be pre-arranged for it to avoid leaks and compromise. The more data is collected, the higher the risk that it may be misused and harmful, especially when it comes to personal data.

What big data is capable of

• Big data analysis is the key to successful business in modern information realities. It can solve a wide variety of tasks to improve the efficiency of the enterprise and its competitiveness. For example, big data can help a pharmacy network determine how demand for medicines changes depending on the weather, discussions of diseases on social networks, news about disease outbreaks, and reviews of certain drugs. After analyzing all these components, it is possible to determine quite accurately which product will be of interest to the buyer at the moment, and distract his attention from competitors.

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How is it planned to achieve this goal and what will it affect?

• Big data is gaining special importance in marketing and advertising. They make it possible to predict consumer consumption and provide information about goods and services with greater efficiency. Previously, advertising strategies could be based almost on intuition and lead to costly failures of advertising campaigns, but now the preliminary analysis of big data makes it possible to reach a much larger number of potential customers.

• It's not just businesses that need to work with big data. It is able to optimize any tasks for which an array of relevant data has been collected. Big data can be useful in public administration, science, education and other non-profit areas. For example, in Germany, through a thorough analysis of transactions, it was possible to identify citizens who received unemployment benefits in bad faith and return the funds back to the budget.

What does the big data market look like?

• By the end of 2025, the volume of the big data market was estimated at $495 billion. It is projected to exceed $1.6 trillion by 2035, meaning annual growth of about 13%. Its rapid development is facilitated by the ability to influence a wide range of industries, and integration with artificial intelligence services makes its capabilities even more extensive.

• Almost half of the big data market accounts for the development of software that is necessary for processing and interpreting data arrays. This is done by both independent startups and divisions of IT giants like Microsoft, Amazon, IBM and Oracle. In this direction, companies are striving to automate the processes of data collection and purification, conduct real-time analytics and apply cloud solutions. Software developers can either supply their own ready-made solutions, or create services from scratch for a specific customer request.

• A significant share of the big data market is the provision of services such as training, implementation, support and consulting on embedded processes. The demand for them is growing due to the complexity and scale of projects. Data security is highlighted in a separate area. Also, an important role for big data is played by the production of appropriate equipment, which is still in demand, despite the desire to move to cloud spaces.