Recommendation Engine Market Set to Achieve USD 43.8 billion by 2031: Growth Analysis and Industry Outlook

According to the report, the global recommendation engine industry generated $2.7 billion in 2021, and is anticipated to generate $43.8 billion by 2031, witnessing a CAGR of 32.1% from 2022 to 2031.

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The global recommendation engine market is driven by factors such as rise in adoption of digital technologies, increase in focus enhance customer experience, and increase in use of the deep learning technology in AI recommendation engine solution. However, lack of skills & expertise and concerns over accessing customers' personal data hamper the recommendation engine market growth. On the contrary, increase in demand to analyze large volume of data is expected to offer remunerative opportunities for expansion of the recommendation engine market during the forecast period.

COVID-19 scenario-

• The COVID-19 pandemic had positively impacted the growth of the recommendation engine market, owing to increase in demand for digitization and the appearance of new e-commerce platforms.

• Moreover, with the increase in fear of getting infected, people were compelled to make the shift from physical stores to online shopping. This shift resulted in the growing demand for recommendation engine market.

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By type, the collaborative filtering segment accounted for the highest share in 2021, garnering more than two-fifths of the global recommendation engine market revenue and is expected to maintain its lead in terms of revenue during the forecast period, owing to increase in demand for reliable recommendation engines from e-commerce platforms to enhance their customers' shopping experience by suggesting products based on their tastes and preferences. However, the hybrid recommendation segment would cite the fastest CAGR of 33.8 from 2022 to 2031, owing to surge in usage of hybrid systems to improve the effectiveness of end-user solutions.

By industry vertical, the retail and consumer goods segment held the major share in 2021, generating more than one-fourth of the global recommendation engine market revenue and is expected to maintain its lead in terms of revenue during the forecast period, as it is used to identify customer behavior patterns in order to improve customer service and marketing strategies. The BFSI segment, on the other hand, would portray the fastest CAGR of 35.3% from 2022 to 2031, owing to increase in technological innovations and the need to secure online consumer data and activities.

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By application, the personalized campaigns and customer delivery segment accounted for more than two-fifths of the global recommendation engine market revenue in 2021 and is expected to maintain its lead in terms of revenue during the forecast period. The product planning and proactive asset management segment would also portray the fastest CAGR of 34.6% from 2022 to 2031, as it provides more accurate recommendations to users, which has led to an increase in their adoption this can help a business to identify areas of improvement, develop better strategies and operational plans, and better target customers.

By region, North America generated nearly two-fifths of the global recommendation engine market revenue in 2021, and is expected to dominate by 2031. The growth of the market across North America is driven by various factors such as the increase in adoption of advanced technologies and increase in government support for emerging technologies in the region. However, Asia-Pacific would showcase the fastest CAGR of 34.6% from 2022 to 2031. The marker growth across Asia-Pacific is driven by increase in penetration of e-commerce, an upsurge in online shopping transactions, and an upsurge in the number of Over the Top (OTT) service providers.

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The key players that operate in the recommendation engine industry are Adobe, Amazon Web Services, Google LLC, Hewlett Packard Enterprise Development LP, IBM Corporation, Intel Corporation, Microsoft Corporation, Oracle Corporation, Salesforce, Inc., and SAP SE. These players have adopted various strategies to increase their market penetration and strengthen their position in the recommendation engine industry.

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