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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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 Artificial Intelligence market in Bangladesh is experiencing mild growth, driven by increasing adoption of digital technologies, growing health awareness, and convenience of online health services. Factors impacting this growth rate include the sub-markets of Speech Recognition, Image Recognition, and Facial Recognition.
Customer preferences: The demand for computer vision technology in Bangladesh is on the rise, driven by the increasing use of AI-powered solutions in various industries. This trend is attributed to the country's growing digital economy and the government's initiatives to promote technological advancements. Additionally, there is a shift towards automation and efficiency in the business sector, leading to the adoption of computer vision for tasks such as quality control and inventory management. This emerging trend showcases the country's eagerness to embrace cutting-edge technology and stay competitive in the global market.
Trends in the market: In Bangladesh, the Computer Vision market is experiencing a surge in demand for facial recognition technology, especially in the retail and banking sectors. This trend is driven by the need for enhanced security measures and improved customer experiences. Additionally, there is a growing adoption of computer vision in the agriculture industry, with farmers using it for crop monitoring and yield prediction. These trends are expected to continue in the coming years, attracting more investments and driving innovation in the market. For industry stakeholders, this presents opportunities for growth and partnership collaborations. However, it also raises concerns about data privacy and ethical implications, calling for regulatory frameworks to be put in place.
Local special circumstances: In Bangladesh, the Computer Vision Market within the Artificial Intelligence Market is experiencing rapid growth due to the country's young and tech-savvy population. The government's initiatives to promote digitalization and increase access to technology have also contributed to the market's growth. Additionally, the unique cultural values and emphasis on education have created a highly skilled workforce, making Bangladesh a hub for AI and computer vision development and services. The market is also impacted by regulatory factors, such as the government's focus on data privacy and security, which has led to the development of innovative solutions tailored to meet these requirements.
Underlying macroeconomic factors: The Computer Vision Market within the Artificial Intelligence Market in Bangladesh is influenced by macroeconomic factors such as technological advancements, government support, and investment in digital infrastructure. Countries with strong regulatory environments and robust investments in AI technology 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 healthcare, manufacturing, and retail is driving the adoption of computer vision technology. The country's growing economy and increasing focus on digitization and innovation also contribute to the growth of the Computer Vision Market in Bangladesh.
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