Facial Recognition - United States

  • United States
  • The market size in the Facial Recognition market is projected to reach US$1.32bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 9.30%, resulting in a market volume of US$2.25bn 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 the US is experiencing subdued growth due to various factors. These include the slow adoption of digital technologies, lack of consumer awareness, and concerns over privacy and security. However, the convenience offered by online facial recognition services may drive growth in the future.

Customer preferences:
As facial recognition technology continues to advance, consumer acceptance and adoption of this AI-driven solution is growing. This trend is driven by the need for enhanced security and convenience in various industries, such as banking, retail, and government. Additionally, the increasing use of facial recognition in personal devices, such as smartphones, is also contributing to its popularity among consumers. This shift towards biometric authentication is also fueled by the rise of contactless technologies, particularly in the wake of the COVID-19 pandemic.

Trends in the market:
In the United States, the Facial Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand due to its potential for enhancing security and streamlining identification processes. Additionally, there is a growing trend of integrating facial recognition technology into various industries, such as retail and healthcare. This trend is expected to continue in the coming years, with significant implications for industry stakeholders, including increased market competition and potential regulatory challenges.

Local special circumstances:
In the United States, the Facial Recognition market is heavily influenced by the country's strict privacy laws and regulations. This has led to a slower adoption of the technology compared to other markets. Additionally, cultural concerns surrounding the use of facial recognition technology have sparked debates and protests, leading to further regulatory scrutiny. In contrast, countries like China have fewer privacy regulations and a more accepting cultural attitude towards facial recognition, leading to a faster growth rate in this market.

Underlying macroeconomic factors:
The growth of the Facial Recognition Market within the Computer Vision Market of the Artificial Intelligence Market in the United States is also influenced by macroeconomic factors such as technological advancements, regulatory support, and investment in digital infrastructure. The United States has a strong regulatory environment and is a leading investor in AI technologies, positioning it as a major player in the global market. Additionally, the increasing use of facial recognition technology in various industries, such as security and marketing, is driving demand and contributing to market growth. Furthermore, the United States has a large population and high disposable income, making it a lucrative market for facial recognition technology.

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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