Image Recognition - Spain

  • Spain
  • The market size in the Image Recognition market is projected to reach €187.10m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 8.63%, resulting in a market volume of €307.40m by 2030.
  • In global comparison, the largest market size will be in the United States (€3,357.00m in 2024).
 
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Analyst Opinion

The market for image recognition in the AI industry in Spain is experiencing subdued growth due to factors such as limited adoption of advanced technologies, low consumer awareness, and lack of convenience in online services. This trend is impacting the market's growth rate in the country.

Customer preferences:
Consumers in Spain are showing a growing interest in personalized shopping experiences, leading to a rise in demand for image recognition technology in the retail sector. With a growing tech-savvy consumer base, retailers are leveraging computer vision to offer targeted product recommendations and enhance the overall shopping experience. Additionally, the increasing adoption of e-commerce and online shopping platforms is fueling the demand for efficient and accurate image recognition technology to improve product search and recommendation capabilities.

Trends in the market:
In Spain, the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand for facial recognition technology, driven by the need for contactless identification amid the COVID-19 pandemic. This trend is expected to continue as businesses and governments look for ways to enhance security and streamline processes. Additionally, there is a growing interest in using computer vision for autonomous vehicles and smart city applications. These advancements have significant implications for industry stakeholders, as they open up new opportunities for innovation and revenue growth.

Local special circumstances:
In Spain, the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is influenced by the country's strong focus on research and development in the technology sector. The government's support for innovation and its investment in training and education have created a conducive environment for the growth of the market. Additionally, the country's advanced infrastructure and high adoption of digital technologies have led to a higher demand for image recognition solutions in various industries, such as retail and healthcare. Moreover, Spain's cultural emphasis on efficiency and productivity has also played a role in driving the adoption of image recognition technology in businesses.

Underlying macroeconomic factors:
The growth of the Image Recognition Market in the Computer Vision Market within the Artificial Intelligence Market in Spain is also influenced by macroeconomic factors such as technological advancements, government support, and investment in AI infrastructure. Countries with favorable regulatory environments and strong investment in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Additionally, the increasing adoption of AI across various industries and the growing demand for automation and efficiency are driving the demand for image recognition solutions in Spain.

Methodology

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.

Visión general

  • Market Size
  • Value
  • Analyst Opinion
  • Global Comparison
  • Methodology
  • Key Market Indicators
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