The recent market research analysis of “AI Platform Lending Market: Global Demand Analysis & Opportunity Outlook 2033” by Research Nester delivers an in-depth competitors analysis and a detailed overview of the global AI platform lending market in terms of market segmentation by type, functionality, AI type, end-user, and by region over the forecast period, i.e., 2023-2033.
Further, for the in-depth analysis, the report encompasses the industry growth indicators, restraints, supply and demand risk, along with a detailed discussion on current and future market trends that are associated with the growth of the global AI platform lending market. These analyses help organizations identify a continuous flow of growth opportunities to succeed in an unpredictable future. Additionally, the growth opportunities exposed by the market are poised to gain significant momentum in the next few years.
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AI platform lending market to find numerous growth opportunities on the back of a higher number of people applying for loans, finds Research Nester
The global AI platform lending market is estimated to grow majorly on account of the rising number of banks and increasing utilization of credit card holders. For instance, in 2021, around 1.5 billion transactions were made through credit cards in India Alone. Additionally, ongoing advancement in cloud computing and the escalation process of digitalization is further expected to fuel the growth of the market over the forecast period. As of 2022, the cloud system stored nearly 50% of the corporate data, and in 2021, the cloud segment generated around USD 350 billion.
The global AI platform lending market is segmented on the basis of end-user into bank, educational institution, government organization, and others. The bank segment is to garner the highest revenue by the end of 2033 by growing at a significant CAGR over the forecast period. The growth of the segment can be ascribed to the increasing number of banks and their users. For instance, the total number of banks across the globe was estimated to be around 45,000.
By region, the North America AI platform lending market is to generate the highest revenue by the end of 2033. This growth is anticipated by higher banking activities and the growing number of credit card users. For instance, in 2021, nearly 1.05 billion credit cards were in use by the population of the United States.
The research is global in nature and covers detailed analysis on the AI platform lending market in North America (U.S., Canada), Europe (U.K., Germany, France, Italy, Spain, Hungary, Belgium, Netherlands & Luxembourg, NORDIC [Finland, Sweden, Norway, Denmark], Poland, Turkey, Russia, Rest of Europe), Latin America (Brazil, Mexico, Argentina, Rest of Latin America), Asia-Pacific (China, India, Japan, South Korea, Indonesia, Singapore, Malaysia, Australia, New Zealand, Rest of Asia-Pacific), Middle East and Africa (Israel, GCC [Saudi Arabia, UAE, Bahrain, Kuwait, Qatar, Oman], North Africa, South Africa, Rest of Middle East and Africa).
In addition, analysis comprising of global AI platform lending market size, Y-O-Y growth & opportunity analysis, market players’ competitive study, investment opportunities, demand for future outlook etc. has also been covered and displayed in the research report.
This report also provides the existing competitive scenario of some of the key players of the global AI platform lending market which includes company profiling of Wizni, Inc., Ellie Mae, Inc., Tavant, Sigma Infosolutions, Roostify, Inc., Fiserv, Inc., Pegasystems Inc., Newgen Software Technology Limited, Nucleus Software Exports Limited, KPIT Technologies Limited, and others. The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and recent news and developments.
On the whole, the report depicts detailed overview of the global AI platform lending market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.
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