Facial Recognition - Europe

  • Europe
  • The market size in the Facial Recognition market is projected to reach US$1.25bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 9.29%, resulting in a market volume of US$2.13bn by 2030.
  • In global comparison, the largest market size will be in the United States (US$1,316.00m in 2024).
 
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Analyst Opinion

The Facial Recognition Market in Europe is facing subdued growth due to factors such as privacy concerns and lack of regulations. The market is driven by the increasing adoption of facial recognition technology and its convenience in the Computer Vision and Artificial Intelligence markets.

Customer preferences:
The use of facial recognition technology in Europe is gaining popularity, driven by the demand for contactless and secure identification methods. This trend is further amplified by the growing concerns over data privacy, pushing for stricter regulations and ethical considerations. Additionally, there is an increasing demand for personalized and seamless shopping experiences, leading to the implementation of facial recognition in retail and marketing strategies. These developments highlight a shift towards technology-driven and consumer-centric solutions in the region.

Trends in the market:
In Europe, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand due to the increasing use of biometric technology for security and authentication purposes. With the implementation of GDPR, there is a growing trend towards ethical and transparent usage of facial recognition technology. This trend is expected to continue, with potential implications for industry stakeholders such as increased investments in research and development, stricter regulations, and the need for responsible AI practices.

Local special circumstances:
In Europe, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is heavily influenced by strict data privacy laws, such as the General Data Protection Regulation (GDPR). These laws have led to the development of privacy-focused facial recognition technologies, catering to the concerns of consumers and businesses. Additionally, the diverse cultural landscape in Europe has resulted in varying adoption rates and applications of facial recognition technology, with some countries being more open to its use than others. These factors have a significant impact on the growth and development of the market in Europe.

Underlying macroeconomic factors:
The Facial Recognition Market in Europe is significantly impacted by macroeconomic factors such as technological advancements, regulatory support, and investment in artificial intelligence 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 facial recognition technology in various industries such as security, healthcare, and retail, is driving market growth in Europe. The region's strong economic health and high levels of disposable income are also contributing to the growth of the Facial Recognition Market within the Artificial Intelligence Market.

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.

Overview

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