Definition:
Image recognition, as part of computer vision, refers to the technology that enables machines to analyze and understand visual data such as images and/or video frames. It involves the use of algorithms and deep learning models to identify objects, scenes, patterns, and other visual elements within images. By extracting features and patterns from the input data, image recognition systems can classify and categorize images based on the content within these images. The applications for this technology are diverse and broad and include the areas of object detection, image classification, medical imaging, autonomous vehicles, and augmented reality and make it possible for machines to comprehend and interpret visual information much like humans do.
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 Image Recognition Market in Japan is experiencing subdued growth due to factors such as slow adoption of AI technologies and limited awareness among consumers. Nevertheless, the convenience of online services is driving growth.
Customer preferences: As Japanese consumers become more tech-savvy and rely heavily on their smartphones for various tasks, there is a growing demand for smart shopping solutions that utilize image recognition technology. This trend is driven by the need for convenience and efficiency in the shopping process, as well as the desire for personalized and targeted marketing strategies. Additionally, with the rise of e-commerce and contactless payments, consumers are increasingly turning to image recognition technology for a seamless and secure shopping experience.
Trends in the market: In Japan, the Image Recognition Market of 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 efficient and secure identification methods. Additionally, there is a growing interest in using computer vision for autonomous vehicles and industrial automation. These developments are expected to significantly impact the market, creating opportunities for stakeholders in various industries to incorporate image recognition technology into their operations.
Local special circumstances: In Japan, the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is driven by the country's advanced technology infrastructure and high demand for automation in various industries such as automotive and manufacturing. Additionally, cultural factors such as the emphasis on precision and efficiency have led to the adoption of image recognition technology in retail and transportation sectors. Furthermore, strict data privacy regulations have influenced the development of advanced image recognition systems for secure identification and authentication purposes.
Underlying macroeconomic factors: The Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in Japan is impacted by macroeconomic factors such as technological advancements, government policies, and economic stability. Japan's strong investment in AI technology, along with its favorable regulatory environment, has led to rapid market growth. Furthermore, the country's aging population and increasing prevalence of chronic diseases have increased the demand for AI-based image recognition solutions to improve healthcare outcomes. Japan's stable economy and focus on innovation also contribute to the growth of the Image Recognition Market in the country. This demonstrates the significant role of macroeconomic factors in shaping the market landscape of AI and computer vision technologies in Japan.
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