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: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.
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
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 Czechia is seeing a surge in growth, thanks to the increasing adoption of digital technologies, rising health awareness among consumers, and the convenience offered by online health services. The elevated growth rate can be attributed to factors such as advancements in AI Robotics, Autonomous & Sensor Technology, Computer Vision, Machine Learning, Natural Language Processing, and Generative AI. These sub-markets are driving the overall market forward, making it a promising and lucrative industry in Czechia.
Customer preferences: The adoption of Artificial Intelligence (AI) technology is rapidly growing in Czechia, as businesses and organizations are increasingly leveraging AI to improve efficiency and productivity. This trend is driven by the country's strong IT infrastructure and a highly skilled workforce. Additionally, there is a growing demand for AI-powered solutions in the government sector, particularly in areas such as healthcare and public services. This shift towards AI is also influenced by the country's aging population and the need for innovative solutions to address the changing demographics.
Trends in the market: In Czechia, the Artificial Intelligence market is experiencing a surge in demand for AI-powered solutions in various industries, such as healthcare, finance, and manufacturing. This trend is driven by the country's focus on digital transformation and the adoption of advanced technologies. Companies are investing in AI to streamline processes, improve efficiency, and gain a competitive edge. This trajectory is significant as it presents opportunities for industry stakeholders to tap into a growing market and improve their operations. However, it also raises concerns about potential job displacement and the need for upskilling the workforce.
Local special circumstances: In Czechia, the Artificial Intelligence market is thriving due to the country's highly skilled workforce and supportive government policies. With a strong focus on technology and innovation, Czechia has become a hub for AI startups and research centers. Additionally, the country's central location and favorable business environment make it an attractive destination for international companies looking to tap into the European market. This unique combination of factors has contributed to the rapid growth of the AI market in Czechia, positioning it as a key player in the global AI landscape.
Underlying macroeconomic factors: The Artificial Intelligence market in Czechia is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in research and development. With a strong economy and supportive fiscal policies, Czechia has become a hub for AI innovation and adoption. Additionally, the growing demand for AI solutions in various industries, coupled with the country's skilled workforce and favorable regulatory environment, is driving market growth. Moreover, the implementation of AI technologies is expected to enhance productivity and efficiency in both the public and private sectors, further contributing to the market's growth in Czechia.
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