Global Artificial Intelligence in Fintech Market, By Component (Solutions and Services), Deployment Mode (Cloud and On-Premises), Application (Virtual Assistant, Business Analytics and Reporting, Customer Behavioural Analytics and Others) – Industry Trends and Forecast to 2029.
Global Artificial Intelligence in Fintech Market Analysis and Size
Data Bridge Market Research analyses that the artificial intelligence in fintech market value, which was USD 13.14 billion in 2021, is expected to reach the value of USD 765.34 billion by 2029, at a CAGR of 66.20% during the forecast period. “Cloud" accounts for the largest deployment mode segment in the artificial intelligence in the fintech market owing to the growing number of small and medium-scale enterprises.
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Global Artificial Intelligence in Fintech Market Definition
From the name itself, it is clear that fintech or financial technology is the incorporation of advanced technologies such as artificial intelligence with the financial services which helps to protect against fraudulent activities. The role of artificial intelligence in fintech is to facilitate the operation of robo-advisors to provide financial planning services.
Countries Covered
U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
Market Players Covered
BigML, Inc. (US), Cisco Systems, Inc. (US), FICO (US), Hewlett Packard Enterprise Development LP (US), RapidMiner, Inc. (US), SAP SE (Germany), SAS Institute Inc. (US), Microsoft (US), Google, LLC (US), Salesforce.com Inc. (US), IBM (US), Intel Corporation (US), Amazon Web Services, Inc. (US), Inbenta Technologies (US), IPsoft (US), Nuance Communications (US), and ComplyAdvantage (UK)
Global Artificial Intelligence in Fintech Market Scope
Component
- Solutions
- Services
On the basis of components, artificial intelligence in fintech market is segmented into solutions and services. On the basis of solutions, the market is further segmented into software tools and platforms. On the basis of service, the market is further segmented into managed and professional.
Deployment mode
- Cloud
- On-Premises
Based on deployment mode, artificial intelligence in fintech market has been segmented into cloud and on-premises.
Application
- Virtual Assistant
- Business Analytics and Reporting
- Customer Behavioural Analytics
- Others
On the basis of application, artificial intelligence in fintech market has been segmented into virtual assistant, business analytics and reporting, customer behavioural analytics and others.
Competitive Landscape and Artificial Intelligence in Fintech Market Share Analysis
The artificial intelligence in fintech market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to artificial intelligence in fintech market.
Some of the major players operating in the artificial intelligence in fintech market are:
- BigML, Inc. (US)
- Cisco Systems, Inc. (US)
- FICO (US)
- Hewlett Packard Enterprise Development LP (US)
- RapidMiner, Inc. (US)
- SAP SE (Germany)
- SAS Institute Inc. (US)
- Microsoft (US)
- Google, LLC (US)
- Salesforce.com Inc. (US)
- IBM (US)
- Intel Corporation (US)
- Amazon Web Services, Inc. (US)
- Inbenta Technologies (US)
- IPsoft (US)
- Nuance Communications (US)
- ComplyAdvantage (UK)
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Table of Content:
Part 01: Executive Summary
Part 02: Scope of the Report
Part 03: Global Artificial Intelligence in Fintech MarketLandscape
Part 04: Global Artificial Intelligence in Fintech Market Sizing
Part 05: Global Artificial Intelligence in Fintech Market Segmentation By Product
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
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