Artificial Intelligence - CIS

The Artificial Intelligence market in CIS is experiencing a rapid growth rate, driven by factors such as increasing adoption of AI technologies, rising awareness of its benefits, and the convenience offered by online services. The sub-markets within AI, including Robotics, Autonomous & Sensor Technology, Computer Vision, Machine Learning, Natural Language Processing, and Generative AI, are all contributing to this elevated growth. The market is expected to continue expanding as advancements in these sub-markets and increased investment in AI research and development drive further growth.

Customer preferences: As the Artificial Intelligence Market continues to evolve and expand, consumers are increasingly prioritizing personalized and efficient solutions. This has led to a rise in demand for AI-powered virtual assistants, chatbots, and voice recognition technology. Additionally, the growing focus on data-driven decision making and automation has propelled the adoption of AI in various industries, from healthcare to finance. This shift towards AI-driven solutions is also driven by the need for more efficient and accurate processing of large volumes of data.

Trends in the market: In the CIS and Artificial Intelligence Market, there is a noticeable trend towards the integration of AI technology in various industries such as healthcare, finance, and manufacturing. This is driven by the increasing demand for more efficient and accurate data analysis, automation of processes, and the need to stay competitive in the global market. As AI continues to evolve, we can expect to see more advanced applications, such as natural language processing and computer vision, being adopted by companies. This trend has significant implications for industry stakeholders, as it has the potential to improve productivity, reduce costs, and enhance decision-making processes. However, it also raises concerns about job displacement and the ethical use of AI. With the increasing adoption of AI, it is crucial for companies to prioritize responsible and ethical practices to gain the trust of their customers and maintain a positive reputation in the market.

Local special circumstances: In the CIS region, the Artificial Intelligence Market is growing rapidly due to the government's push for technological advancements and the region's highly skilled technical workforce. Additionally, the cultural emphasis on innovation and entrepreneurship has led to a thriving startup ecosystem, which has further fueled the adoption of AI solutions. Moreover, the region's unique geopolitical landscape and regulatory environment have also played a significant role in shaping the market, with some countries placing restrictions on AI technology use while others are more open to its potential.

Underlying macroeconomic factors: The growth of the Artificial Intelligence market is heavily impacted by macroeconomic factors such as technological advancements, government support, and investment in research and development. Countries with favorable policies and significant investments in AI infrastructure are experiencing faster market growth compared to regions with regulatory barriers and limited funding. Additionally, the rising demand for AI solutions in diverse industries, such as healthcare, finance, and retail, is driving market growth. Moreover, the increasing adoption of AI technologies in emerging economies is expected to further fuel market growth in the CIS region.

Data coverage: The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the funding values from different industries for the market.

Modeling approach / Market size:Market sizes are determined through a top-down approach with a bottom-up validation, building on a specific rationale for each market. As a basis for evaluating markets, we use annual financial reports, funding data, and third-party data. In addition, we use relevant key market indicators and data from country-specific associations such as GDP, number of internet users, number of secure internet servers, and internet penetration. This data helps us estimate the market size for each country individually.

Forecasts:In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing are well suited to forecast digital products and services due to the non-linear growth of technology adoption. The main drivers are the level of digitalization, the number of secure internet servers, and the revenue of the Public Cloud market.

Additional Notes: The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russian-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the market is updated on an ad-hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is weighted for representativeness.