Artificial Intelligence (AI) in Fintech Market Size, Share, Segmentation, Trends, Growth Opportunities, and Forecast 2030

The global Artificial Intelligence (AI) in Fintech market accrued earnings worth approximately 9.53(USD Billion) in 2019 and is predicted to gain revenue of about 73.7(USD Billion) by 2026, is set to record a CAGR of nearly 41% over the period from 2020 to 2026. The report offers assessment and analysis of the Artificial Intelligence (AI) in Fintech market on a global and regional level. The study offers a comprehensive assessment of the market competition, constraints, revenue estimates, opportunities, evolving trends, and industry-validated data. The report provides historical data from 2017 to 2019 along with a forecast from 2020 to 2026 based on revenue (USD Billion).

Report Scope :

Artificial Intelligence (AI) in Fintech Market: Synopsis

Fintech firms have made use of AI in fulfilling consumer expectations by applying machine learning & deep learning tools for providing smart solutions seamlessly. Outbreak of COVID pandemic has resulted in large-scale digitization of banking services and this has encouraged firms to use machine learning tools in baking sector. Reportedly, more than 50% of FinTech firms have made use of AI tools such as robotic process automation for structured operations, virtual assistants for customer service, and machine learning for detecting frauds as well as aiding underwriting. With tech firms entering Fintech business, the market is anticipated to gain traction during the forecast timeline.

Artificial Intelligence (AI) in Fintech Market: Growth Dynamics

Need for increasing speed of operations, their agility, and suppleness will drive the market trends. Apart from this, AI helps Fintech firms in effective decision making process. Moreover, it also assists the organizations in customer acquisition & retention, service monitoring, and improving customer engagement activities. Additionally, deployment AI capabilities across Fintech organizations help in strengthening the data infrastructure of the organizations. All these aforementioned factors will steer the expansion of Artificial Intelligence (AI) in Fintech Industry over the assessment period.

Furthermore, AI will raise automation, improve business decision making, and help produce new business models for Fintech institutions, thereby steering the market space. In addition to this, rise in the internet penetration across the globe and massive use of spatial data will proliferate the growth of artificial intelligence (AI) in Fintech Market in the upcoming years. Additionally, AI-driven back office operations in the Fintech firms will help the firms transform their units into centers of excellence. AI helps the Fintech firms in improving customer loyalty and attracting new customers by creating value for their services. This, in turn, will promote the business trends.  With AI aiding the firms in targeting potential leads is likely to further generate new growth avenues for artificial intelligence (AI) in Fintech Market over the assessment period.

North America Market To Accrue Highest Revenue By 2026

The growth of artificial intelligence (AI) in Fintech industry in North America over the assessment period is due to huge focus on innovations in the countries such as Canada and the U.S. In addition to this, swiftly changing AI techniques used in the Fintech firms in these countries will further prompt the regional market growth in the upcoming years. Additionally, presence of reputed AI service providers in the subcontinent will promulgate the expansion of artificial intelligence (AI) in Fintech Industry over the assessment period.

Key participants profiled in the report are Intel, Nuance Communications, Microsoft Corporation, Google, Inc., Salesforce.com, IBM Corporation, Amazon Web Services, Inbenta Technologies, IPsoft, and ComplyAdvantage.com.

The global Artificial Intelligence (AI) in Fintech Market   is segmented as follows:

By Application

• VIRTUAL ASSISTANT
• Business Analytics & Reporting
• Customer Behavioral Analytics

By Deployment Mode

• On-Premise
• Cloud

By Region

• North America
  • The U.S.
  • Canada
• Europe
  • France
  • The UK
  • Spain
  • Germany
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • GCC
  • South Africa
  • Rest of Middle East & Africa