AI technologies are advancing in the P2P industry

In 2022, the number of AI & ML* technology companies in Europe reached 15,000. They have been able to raise $47.3 billion so far and continue to grow.

61 European P2P platforms use AI & ML in the product development. Most of them are based in the United Kingdom (16 platforms), followed by France (5). 

In the breakdown by segments, Consumer lending is the leader (49%). Next comes the Business segment (23%). “Such a distribution is quite logical, because the Consumer sector is aimed at a mass audience and, therefore, quite large resources are required for a comprehensive automated assessment of their customers. In addition, the Consumer sector is a highly competitive and complex market where each customer has their own individual needs and preferences.” - analysts of the Robocash platform comment.

In the Real estate sector, AI & ML technologies are less developed. “AI & ML can also be useful here, as this is a very large market, which is actually the most sensitive to the economic situation in the country. This makes its risk assessment a broader task.” - experts add.

Robo.cash analysts suggest that in 2023 the effect of introducing AI & ML into the business processes of European continental P2P platforms may expand by 37% compared to 2022. They attribute this to the fact that every year P2P lending platforms are increasingly aware of the benefits of using technologies and integrating them into their business. “In addition, in the coming years P2P lending platforms will be actively developing in other regions of the world, such as, for example, Asia and Latin America. The use of AI & ML technologies will be one of the key factors that will help them ensure stable growth and reach a new level of expansion” - say experts.

*AI & ML technologies here stand for the use of libraries based on the Python programming language (TensorFlow, PyTorch, Keras, scikit-learn), analytics and data management tools (Apache Hadoop, Apache Spark, Apache Cassandra and MongoDB), as well as ready-made platforms for scaling AI & ML based products (Amazon Web Services, Google Cloud Platform and Microsoft Azure).