Facial Recognition - Latvia

  • Latvia
  • The market size in the Facial Recognition market is projected to reach US$2.13m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 9.34%, resulting in a market volume of US$3.64m 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 within the Computer Vision Market of Artificial Intelligence in Latvia is experiencing subdued growth due to various factors such as limited adoption of digital technologies, low health awareness among consumers, and lack of convenience in online health services.

Customer preferences:
With the rise of data privacy concerns and the increasing use of facial recognition technology by government agencies, consumers in Latvia are becoming more cautious about the technology. As a result, there has been a growing demand for alternative forms of biometric authentication, such as fingerprint or iris scanning. Additionally, the COVID-19 pandemic has accelerated the adoption of touchless technologies, further fueling the demand for facial recognition systems that can accurately identify individuals even with masks on. This shift towards touchless and more secure authentication methods is expected to drive the growth of the Facial Recognition Market within the Computer Vision Market of the Artificial Intelligence Market in Latvia.

Trends in the market:
In Latvia, 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 in various industries, such as healthcare, retail, and banking. This trend is expected to continue, driven by the government's push for digitalization and the growing need for enhanced security measures. Industry stakeholders can expect to see a rise in the adoption of facial recognition technology in various applications, such as access control, identity verification, and customer engagement. Additionally, advancements in deep learning algorithms and cloud-based solutions are expected to increase the accuracy and efficiency of facial recognition systems, making them more attractive to potential buyers. These developments will likely lead to new opportunities for businesses and service providers in the market.

Local special circumstances:
In Latvia, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is gaining momentum due to the country's advanced IT infrastructure and tech-savvy population. Additionally, the government's initiatives to promote digital transformation and adoption of facial recognition technology in security and surveillance systems are driving market growth. The market is also influenced by the country's strict data privacy regulations, which prioritize consumer protection and encourage the development of ethical facial recognition solutions.

Underlying macroeconomic factors:
The growth of the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in Latvia is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in digital infrastructure. Countries with favorable regulatory environments and strong investment in artificial intelligence are experiencing faster market growth compared to regions with regulatory challenges and limited resources. Additionally, the increasing adoption of facial recognition technology in various industries, such as security and retail, is driving the demand for advanced computer vision solutions. Furthermore, the growing trend of digitization and automation in the business sector is also fueling the growth of the facial recognition market in Latvia.

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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