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 Artificial Intelligence market in Japan is witnessing mild growth due to factors such as increasing adoption of digital technologies, rising awareness about health, and the convenience offered by online health services. These factors are driving the growth of sub-markets like Speech Recognition, Image Recognition, and Facial Recognition within the Computer Vision market. However, challenges such as data privacy concerns and lack of skilled professionals may impact the overall growth rate.
Customer preferences: With the rise of e-commerce and online shopping, consumers in Japan are increasingly demanding advanced computer vision technology in retail. This includes personalized recommendations, virtual try-on, and real-time inventory tracking. Additionally, there is a growing demand for computer vision in transportation, with the use of facial recognition for ticketless travel and self-driving cars. This trend is driven by the culture of convenience and efficiency in Japan, as well as the aging population's need for accessible and safe transportation solutions.
Trends in the market: In Japan, the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand for facial recognition technology, particularly in the retail and security sectors. This trend is driven by the country's aging population and the need for contactless solutions. Additionally, with the upcoming Tokyo Olympics, there is a growing interest in using computer vision for crowd monitoring and security. These developments have significant implications for industry stakeholders, as they open up opportunities for collaboration and innovation in the field of computer vision. Furthermore, this trend is expected to continue in the future, with the potential for further expansion into other industries such as healthcare and transportation.
Local special circumstances: In Japan, the Computer Vision Market within the Artificial Intelligence Market is heavily influenced by the country's advanced technological landscape and strong government support for research and development. With a highly competitive market, Japanese companies are constantly pushing the boundaries of computer vision technology. Additionally, the cultural emphasis on precision and perfection has resulted in the development of extremely accurate and efficient computer vision solutions. Furthermore, the country's strict data privacy laws have led to the adoption of unique algorithms and processes to ensure the protection of personal data.
Underlying macroeconomic factors: The Computer Vision Market within the Artificial Intelligence Market in Japan is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in research and development. With Japan being a global leader in technology and having a strong focus on innovation, the country has a favorable regulatory environment and a robust healthcare infrastructure, which has contributed to the rapid growth of the Computer Vision Market. Additionally, the aging population in Japan has led to a higher demand for advanced healthcare solutions, further driving the growth of the 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