Computer Vision - Eastern Europe | Statista Market Forecast

The market size in the Computer Vision market is projected to reach US$730.90m in 2024.
The market size is expected to show an annual growth rate (CAGR 2024-2030) of 10.50%, resulting in a market volume of US$1.33bn by 2030.
In global comparison, the largest market size will be United States (US$6.88bn in 2024).

Definition:
Computer vision is a field of artificial intelligence that focuses on enabling computers to understand and interpret visual information from digital images or videos. It involves the development of algorithms and models that can extract meaningful insights from visual data, such as identifying objects in images (image recognition), converting spoken language into written text (speech recognition), and analyzing unique facial features for identification (facial recognition). By mimicking human vision and perception, computer vision technology enables machines to comprehend and analyze visual content. This technology is applicable to a wide range of industries.

Structure:
The Computer Vision market has three markets. The Speech Recognition market covers the analysis and interpretation of human speech. The Image Recognition market covers the analysis and interpretation of digital images using computer vision, and the Facial Recognition covers the analysis and interpretation of human faces in digital images and/or videos.

Additional Information:

The market comprises two key performance indicators: market sizes and market sizes by industry. Market sizes are generated by the funding amount of Computer Vision companies. Key players of the market include companies such as Nvidia, Intel, and IBM.

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Applications of computer vision to enable machines to interpret and analyze visual data, such as image and video recognition, autonomous vehicles, and medical imaging.

Non-artificial intelligence applications of computer vision, such as video processing and editing, which do not involve machine learning or pattern recognition.

The Artificial Intelligence market in Eastern Europe is experiencing mild growth, driven by factors such as increasing adoption of digital technologies, growing awareness of health and convenience offered by online services. The sub-markets of Speech Recognition, Image Recognition, and Facial Recognition further contribute to this growth. However, challenges such as data privacy concerns and lack of skilled professionals may impact the market's growth rate.

Customer preferences: As the Artificial Intelligence Market continues to grow, there is a noticeable trend in Eastern Europe towards incorporating computer vision technology in various industries. This is driven by the increasing demand for automation and efficiency in sectors such as manufacturing, retail, and healthcare. Additionally, with a growing tech-savvy population and advancements in internet connectivity, there is a rising interest in using computer vision for enhanced user experiences and personalized services. This shift towards incorporating computer vision technology is also fueled by the need for contactless solutions in a post-pandemic world.

Trends in the market: In Eastern Europe, the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand for facial recognition technology in various industries such as security and retail. Additionally, there is a growing trend of using computer vision for self-driving cars and industrial automation. These trends are expected to continue to grow in the coming years, as Eastern European countries invest heavily in AI research and development. This presents significant opportunities for industry stakeholders, as the region becomes a hub for innovative AI solutions and services. However, there could also be potential implications for privacy and security, as the use of facial recognition raises ethical concerns and regulations in the region.

Local special circumstances: In Eastern Europe, the Computer Vision market is thriving due to the region's strong government support for AI development and adoption. Countries like Poland and Ukraine have become hubs for AI startups, with access to top talent and lower operating costs. Additionally, the cultural emphasis on technical education and research has contributed to the growth of the market. However, the region also faces challenges in data privacy and protection laws, which can affect the use and implementation of AI technologies. These factors play a significant role in shaping the market dynamics and strategies of companies operating in this region.

Underlying macroeconomic factors: The growth of the Computer Vision Market within the Artificial Intelligence Market is also influenced by macroeconomic factors such as technological advancements, government support, and investment in research and development. Countries with favorable policies and strong investment in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Additionally, the increasing demand for automation and efficiency in industries such as manufacturing and healthcare is driving the demand for computer vision solutions. Furthermore, the rising adoption of AI in various sectors, including transportation, retail, and security, is expected to further propel market growth.

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.

This report presents a comprehensive analysis and additional information on the Technology market, in a PDF format.

Artificial intelligence evokes images of supercomputer assistants, machines that can think creatively, and, to some, scenes from their favorite sci-fi movie. The reality, despite not being as futuristic, is not far off from this. AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. The market for AI technologies is vast, amounting to around 200 billion U.S. dollars in 2023 and is expected to grow well beyond that to over 1.8 trillion U.S. dollars by 2030.

Artificial intelligence (AI), the technology that allows digital computers or computer-controlled robots to perform tasks more commonly associated with intelligent beings, has been leaping into the limelight following the release of a wide variety of Generative AI models in 2023. The United States, being the largest economy in the world, has a natural advantage. Although human-like androids such as those portrayed in the science fiction movie Blade Runner are still far from reality, applications of AI such as smartphone virtual assistants and industrial robots are already widespread in U.S. society. The industry’s powerful ability to improve efficiency and increase productivity has made it of strategic importance to U.S. industries and government, both of which push the U.S. lead in the AI race.

Computer Vision - Eastern Europe

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