Definition:
Artificial intelligence (AI) is a branch of computer science that focuses on creating machines able to perform tasks traditionally requiring human intelligence, such as perception, reasoning, and learning. The Artificial Intelligence (AI) market includes a wide range of applications, such as speech recognition, image processing, and autonomous vehicles and has seen rapid growth in recent years due to advancements in technology and increased investment. The Artificial Intelligence (AI) market includes software, hardware, and services that enable organizations to develop and deploy AI applications.
Structure:
The Artificial Intelligence (AI) market is structured into six markets based on the technology:
Additional Information:
The Artificial Intelligence (AI) market comprises three key performance indicators: market sizes, market sizes by industry, and users of AI tools. Market sizes are generated by the funding amount of Artificial Intelligence (AI) companies. Key players of the Artificial Intelligence (AI) market include companies such as Google, Open AI, IBM, and Microsoft.
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Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
Most recent update: Mar 2024
Source: Statista Market Insights
Most recent update: Sep 2024
Source: Statista Market Insights
The Artificial Intelligence Market in Eastern Europe is experiencing rapid growth, driven by factors such as increasing adoption of digital technologies, growing awareness of AI among consumers, and the convenience of online services. The market's elevated growth rate can be attributed to advancements in AI Robotics, Autonomous & Sensor Technology, Computer Vision, Machine Learning, Natural Language Processing, and Generative AI. These sub-markets are expected to continue driving the overall market's growth in the coming years.
Customer preferences: With the rapid advancement of technology, Eastern European consumers are increasingly turning to Artificial Intelligence solutions for a variety of purposes. This includes utilizing AI-powered virtual assistants for everyday tasks, relying on chatbots for customer service interactions, and even embracing AI-powered financial advisors. These trends are driven by a growing desire for convenience and efficiency, as well as a general trust in technology and its capabilities. Furthermore, the use of AI in healthcare is gaining traction, with consumers embracing telemedicine and remote monitoring options for more convenient and personalized care.
Trends in the market: In Eastern Europe, the Artificial Intelligence market is experiencing a surge in demand for chatbot and virtual assistant technology, as companies seek to improve customer service and streamline operations. This trend is expected to continue as AI technology becomes more advanced and affordable. Additionally, there is a growing use of AI in the healthcare sector, with predictive analytics and machine learning being used for disease diagnosis and treatment planning. These trends have significant implications for industry stakeholders, as AI technology becomes an integral part of business operations and healthcare services in the region.
Local special circumstances: In Eastern Europe, the Artificial Intelligence market is gaining traction due to the region's growing tech sector, particularly in countries like Poland, Hungary, and the Czech Republic. These countries have a highly skilled workforce and a favorable business environment for startups. Additionally, the region's strong historical focus on STEM education has resulted in a pool of talented AI professionals. However, the market is also influenced by factors such as data privacy regulations, protectionist policies, and the dominance of state-owned companies in certain industries. These unique local factors contribute to the market's dynamics and require careful consideration by companies looking to enter the Eastern European AI market.
Underlying macroeconomic factors: The Artificial Intelligence Market in Eastern Europe is influenced by macroeconomic factors such as technological advancements, government support, and investment in research and development. Countries with favorable regulatory environments and strong investment in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Furthermore, the increasing demand for automation and efficiency in various industries, coupled with the rising adoption of AI-powered solutions, is driving the growth of the market. Additionally, the region's improving economic health and increasing focus on innovation and digitalization are creating a conducive environment for the growth of the Artificial Intelligence Market.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
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.
Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights