Facial Recognition - Norway

  • Norway
  • The market size in the Facial Recognition market is projected to reach US$29.95m 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$51.21m 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 Norway is seeing subdued growth, influenced by factors such as limited market size, slow adoption of technology, and concerns over privacy. This is happening within the larger Artificial Intelligence Market, where advancements in computer vision are driving growth.

Customer preferences:
As facial recognition technology becomes more advanced and accessible, consumers in Norway are increasingly using it for personalized security and convenience. This trend is further propelled by the country's emphasis on data privacy, with consumers seeking out more secure and transparent facial recognition solutions. Additionally, the rise of smart homes and connected devices is driving demand for facial recognition as a means of seamless and personalized access control.

Trends in the market:
In Norway, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand due to its increasing use in security and surveillance systems. Additionally, there is a growing trend of incorporating facial recognition technology in smartphones for secure authentication. This trend is expected to continue as the technology becomes more advanced and accurate. This has significant implications for industry stakeholders, as it presents opportunities for growth and innovation in the market. However, there are also concerns around privacy and ethics that must be addressed to ensure responsible use of this technology.

Local special circumstances:
In Norway, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is heavily influenced by the country's strong data privacy laws and regulations. This has led to a slower adoption of facial recognition technology compared to other markets. Additionally, the country's smaller population and relatively homogenous demographic have resulted in a smaller market size and limited use cases for facial recognition technology. However, the government's focus on digital transformation and innovation may create opportunities for growth in the market.

Underlying macroeconomic factors:
The growth of the Facial Recognition Market within the Computer Vision Market of the Artificial Intelligence Market is heavily influenced by macroeconomic factors such as technological advancements, government regulations, and investments in infrastructure. Countries with favorable regulatory environments and significant investments in artificial intelligence technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Furthermore, the increasing demand for advanced security solutions and the growing use of facial recognition in various industries, such as banking, retail, and healthcare, are driving the growth of the 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
  • Value
  • Analyst Opinion
  • Global Comparison
  • Methodology
  • Key Market Indicators
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