Facial Recognition - Poland

  • Poland
  • The market size in the Facial Recognition market is projected to reach US$35.70m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 9.35%, resulting in a market volume of US$61.04m 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 Poland is facing subdued growth, hindered by factors such as privacy concerns, lack of regulations, and limited integration with existing systems. Despite this, the market is still expected to experience growth due to the increasing demand for advanced security solutions in various industries. The market is also being driven by the growing adoption of artificial intelligence and computer vision technologies in the country.

Customer preferences:
As facial recognition technology becomes more prevalent in Poland, there is a growing demand for personalized and intuitive user experiences. This has led to a shift towards emotion detection and analysis, with companies incorporating facial recognition into their products and services to better understand consumer preferences and behavior. With the increasing use of social media and online platforms, consumers are also becoming more comfortable with sharing their facial data, creating new opportunities for facial recognition technology in marketing and advertising.

Trends in the market:
In Poland, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand from various industries, such as security, banking, and retail. This is driven by the increasing use of facial recognition technology for identity verification and fraud prevention. Additionally, there is a growing trend towards using facial recognition for contactless payments, as well as for personalized marketing and customer experience. These trends are expected to continue to rise in the coming years, presenting opportunities for companies to innovate and expand their offerings in this market. However, there are also concerns around privacy and data protection, which may lead to stricter regulations and impact the growth of this market.

Local special circumstances:
In Poland, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is driven by the country's large and rapidly expanding e-commerce sector. This has led to the adoption of facial recognition technology for payment authentication and personalized customer experiences. Additionally, the government's push for digital transformation and the country's strict data protection regulations have created a favorable environment for the growth of the facial recognition market.

Underlying macroeconomic factors:
The Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in Poland is heavily influenced by macroeconomic factors such as rising adoption of advanced technologies, government initiatives for digital transformation, and increasing investments in AI research and development. The country's strong economic growth, favorable regulatory environment, and growing tech-savvy population are also contributing to the growth of this market. Moreover, the increasing need for security and surveillance measures in public and private sectors is expected to drive the demand for facial recognition technology in Poland.

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