Astonishing growth in P2P lending market is expected to reach US$ 1,585.23 million by 2027, growing at an estimated CAGR of 16.2% over the forecast period due to adoption of Artificial Intelligence (AI) and machine learning technologies in P2P lending

The financial services industry is experiencing evolution of new technology innovations. The overall industry, and the fintech startups are adopting new technology to build successful business model and provide enhanced customer experience. Artificial Intelligence and machine learning has great potential in financial services. AI and machine learning has enabled this sector to automate a variety of processes, increase transparency and reduce the operating costs. There are major benefits of AI and machine learning in P2P lending which includes easy identification of defaulters, hastening the loan process, eradicating errors, reducing operating costs and simplifying the whole process of lending. In coming years, P2P lending market is expected to witness adoption of such solutions to optimize their overall business function.

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Upstart a California based P2P lending company is enhancing loan process with artificial intelligence and uses machine learning algorithms to make underwriting decisions. The algorithm analyzes and correlates huge amount of data to find patterns. Similarly, Avant a Chicago based company offers unsecured loans to the borrowers, and uses analytics and machine learning to streamline its operations. The company is also uses machine learning to detect fraud by comparing customer behavior with the baseline data. With the help of AI, companies are deploying smart chatbots and robo-advisors. Faircent a P2P lending platform uses AI and machine learning to connect borrowers directly with the investors. Adopting AI has helped companies to boost the productivity and profitability, thereby, also fuelling P2P lending market.

The detailed research study provides qualitative and quantitative analysis of P2P lending market. The market has been analyzed from demand as well as supply side. The demand side analysis covers market revenue across regions and further across all the major countries. The supply side analysis covers the major market players and their regional and global presence and strategies. The geographical analysis done emphasizes on each of the major countries across North America, Europe, Asia Pacific, Middle East & Africa and Latin America.

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Global P2P Lending Market Share in 2018, By Region

P2P Lending Market:
• By Deployment Type
o Cloud based
o On-Premise
• By Type of Loan
o Personal Loans
o Auto Loans
o Business Loans
o Student Loans
o Others
• By Business Model
o Traditional P2P Model
o Alternate Marketplace P2P Model
• By End User Industry
o Individuals
o Small Business
By Geography
• North America
o U.S.
o Canada
o Mexico
o Rest of North America
• Europe
o France
o The UK
o Spain
o Germany
o Italy
o Nordic Countries
 Denmark
 Finland
 Iceland
 Norway
 Sweden
o Benelux Union
 Belgium
 The Netherlands
 Luxemburg
o Rest of Europe
• Asia Pacific
o China
o Japan
o India
o New Zealand
o Australia
o South Korea
o Southeast Asia
 Indonesia
 Thailand
 Malaysia
 Singapore
 Rest of Southeast Asia
o Rest of Asia Pacific
• Middle East & Africa
o Saudi Arabia
o UAE
o Egypt
o Kuwait
o South Africa
o Rest of Middle East & Africa
• Latin America
o Brazil
o Argentina
o Rest of Latin America

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