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Image Recognition - Singapore

Singapore
  • The market size in the Image Recognition market is projected to reach US$70.32m in 2025.
  • The market size is expected to show an annual growth rate (CAGR 2025-2031) of 14.06%, resulting in a market volume of US$154.85m by 2031.
  • In global comparison, the largest market size will be United States (US$4.60bn in 2025).

Value

Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.

Most recent update: Mar 2024

Market Size

Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Mar 2025

Source: Statista Market Insights

Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Mar 2025

Source: Statista Market Insights

Analyst Opinion

The Image Recognition Market in the Artificial Intelligence Market in Singapore is experiencing subdued growth, due to factors such as slower adoption of digital technologies and limited awareness among consumers. However, the market is poised for growth with the increasing demand for computer vision and the convenience offered by online services.

Customer preferences:
As the use of computer vision and artificial intelligence becomes more prevalent in Singapore, there is a growing demand for image recognition technology. This is driven by the increasing adoption of smart city initiatives and the need for efficient surveillance systems. Additionally, with the rise of e-commerce and online shopping, there is an emerging trend towards using image recognition for product search and recommendation. This shift is fueled by the preference for visual-based search and the desire for a personalized shopping experience.

Trends in the market:
In Singapore, the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand for facial recognition technology. This trend is driven by the need for enhanced security measures in public spaces and the growing use of biometric authentication in various industries. Additionally, there is an increasing focus on developing more advanced and accurate image recognition algorithms, which has led to the rise of startups and investments in this sector. These developments have significant implications for industry stakeholders, including potential opportunities for new partnerships and collaborations, as well as potential ethical concerns surrounding the use of facial recognition technology.

Local special circumstances:
In Singapore, the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is driven by the government's strong support for innovation and advanced technology. The country's highly educated and tech-savvy population has also played a significant role in the rapid adoption of image recognition solutions in various industries. Additionally, Singapore's strict data privacy laws and regulations have established a high level of trust among consumers, boosting the demand for image recognition technology in areas such as e-commerce and security.

Underlying macroeconomic factors:
The Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in Singapore is heavily influenced by macroeconomic factors such as technological advancements, government support, and investments in research and development. Singapore's strong economic growth and favorable business environment have attracted significant investments in AI and has enabled the country to become a regional leader in this field. Additionally, the government's focus on promoting innovation and entrepreneurship, as well as its investments in digital infrastructure, have further propelled the growth of the market. The increasing demand for AI solutions in various industries, such as retail, healthcare, and transportation, is also contributing to the market's growth.

Global Comparison

Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Mar 2025

Source: Statista Market Insights

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.

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Key Market Indicators

Notes: Based on data from IMF, World Bank, UN and Eurostat

Most recent update: Jan 2025

Source: Statista Market Insights

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