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.
For more information on the data displayed, use the info button right next to the boxes.
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
Source: Statista Market Insights
The Turkish Artificial Intelligence market, specifically the sub-markets of Speech Recognition, Image Recognition, and Facial Recognition, is currently experiencing mild growth. This growth is influenced by factors such as the increasing adoption of digital technologies, rising awareness of the potential health benefits, and the convenience of online health services. These factors are driving the overall growth of the Computer Vision market within the Artificial Intelligence industry in Turkey.
Customer preferences: With the rise of e-commerce, consumers in Turkey are increasingly searching for personalized and convenient shopping experiences. As a result, the computer vision market within the artificial intelligence market is witnessing a growing demand for virtual try-on and augmented reality shopping tools. This trend is driven by the desire for a more immersive and efficient shopping experience, as well as the need for contactless solutions during the COVID-19 pandemic. Additionally, the younger generation's preference for social media shopping and influencer-driven purchases is also contributing to the growth of this market.
Trends in the market: In Turkey, the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand for facial recognition technology, particularly in sectors such as security and retail. This trend is expected to continue as the government pushes for increased surveillance and the retail industry looks for ways to personalize customer experiences. Additionally, there is a growing focus on incorporating computer vision in manufacturing and agriculture to improve efficiency and productivity. These developments have significant implications for industry stakeholders, as they present opportunities for growth and innovation. However, there is also a need for careful consideration of ethical and privacy concerns surrounding the use of this technology.
Local special circumstances: In Turkey, the Computer Vision Market within the Artificial Intelligence Market is experiencing rapid growth due to government initiatives to promote innovation and investment in the tech sector. This has led to the emergence of a strong startup culture and a focus on developing cutting-edge technology. Additionally, the country's strategic location and close ties with Europe and the Middle East make it an ideal market for companies looking to expand globally. However, strict regulations and censorship laws may pose challenges for foreign companies operating in this market.
Underlying macroeconomic factors: The Computer Vision Market within the Artificial Intelligence Market in Turkey is greatly impacted by macroeconomic factors, including technological advancements, government initiatives, and investment in infrastructure. Countries with supportive regulatory environments and strong investments in AI technologies are experiencing rapid growth in the market, while those with regulatory barriers and limited funding are facing challenges. The rising prevalence of chronic diseases and aging population globally are also driving the demand for AI-powered solutions to improve healthcare access and outcomes.
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