Global Recommendation Engine Market
North American Market Statistics
By the end of 2037, North America region in recommendation engine market is expected to cross USD 30.06 billion, up from a revenue of USD 1.7 billion in the year 2024. This growth of the market is set to be dominated by growing disposable income. According to the Bureau of Economic Analysis estimates that personal income in the US increased by USD 122.0 billion in March 2024. Hence, the demand for online shopping is expanding in this region further encouraging the market growth.
Amongst other areas in the North America region, the US is estimated to gather the highest revenue of USD 26.28 billion by the end of 2037. This growth is set to be encouraged by the rising presence of key video streaming companies.
The Canadian market for recommendation engines is also set to have notable growth in the market over the forecast period. The major element to influence the market expansion in this nation is the growing demand for game streaming.
APEJ Market Analysis
Asia Pacific excluding Japan region in recommendation engine market is estimated to grow at CAGR of around 25.93% between 2025 and 2037. This could be on account of the rising number of social media users. Asia-Pacific nations users make up over 2% of all worldwide social media users, the largest concentration across the globe. Furthermore, a growing number of online retail giants is also expected to dominate the market expansion in this region.
The China market for recommendation engines is estimated to generate the largest revenue of USD 4.53 billion between the years 2025 and 2037. This growth of revenue is owing to the surging penetration of smartphones.
The recommendation engine market in India is also set to have notable growth in the market over the forecast period. This rise is set to be influenced by the growing launch of novel recommendation engine solutions.
The South Korea market for recommendation engines is also set to grow on account of the surging emergence of tech-savvy startups.
Author Credits: Abhishek Verma
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