The global AI in Fintech market is determined to progress from $6.7 billion in 2020 to $15.8 billion in 2026, at a stunning compound annual growth rate (CAGR) of 41.2% during the conjecture timeframe.
AI computers perform various functions like humans, such as learning, decision-making, planning, and speech recognition. In the financial technology sector, artificial intelligence plays a very important role. It reduces time, increases efficiency and also decreases the risk of error. AI is very useful for generating a large volume of reports. Market research includes type, which includes solutions and services with a type of implementation that provides assistance to applications such as chatbots, credit ratings, and others.
Financial companies were the first to adopt a social database and a centralized server PC, and the industry is one of the first integrators of counterfeit combinations in their daily activity to improve the customer experience and manage the development of a lot of information. Taking into account, the computerized reasoning improves the results because of the use of modern calculations and understanding of the behavior of the buyer.
The COVID-19 pandemic allows all organizations to offer work from home, increasing demand from the trendy financial service provider due to unstable market positioning. However, the lack of qualified consultants to deploy AI in Fintech is the main factor holding back the growth of global artificial intelligence (AI) in the Fintech market during the forecast period.
Market growth and trends:
Quantitative and wealth management is experiencing significant growth
Fintech has experienced a continuous evolution in the landscape of investment management. Adopting advanced technologies and solutions, including the use of big data, artificial intelligence and machine learning (ML) to help companies assess investment opportunities, optimize their investment portfolios and mitigate the associated risks, have been the subject of clinical adoption of the technology.
Investment advisory services, for example, are undergoing radical changes with the growth and evolution of automated wealth advisers. These advisers have the capacity to assist investors without the intervention of a human adviser, and can also be used in combination with a human adviser. It increases the ability to provide personalized and practical advice to investors with ease of access, at a partially lower cost.
In addition, in the area of financial record keeping, blockchain technology and distributed ledger is increasing AI adoption by creating new ways to record, track and store asset transactions. For example, Sentifi, a Swiss financial technology company founded in 2012, uses AI and ML to allow investors and other financial market stakeholders to access financial information available online from millions of people and organizations.
Besides, asset management companies are registering various advantages with the adoption of AI and ML technologies. These technologies can help provide actionable information in real time and facilitate portfolio management decisions. Artificial intelligence subsets can enable asset managers to streamline processes to streamline investment decisions and processes.
Market Drivers and Restraints:
The growing demand for process automation among financial organizations is stimulating the market. Process automation is among the main drivers of artificial intelligence in financial organizations. However, it is moving further towards the automation of cognitive processes, where AI systems can perform even more complex automation processes.
The Fintech space is one of the fastest growing industries worldwide due to the increasing penetration of Internet users. Users are rapidly switching to mobile devices for transactions or related actions due to the growing ease and growing Internet user base. Third-party apps have embedded in-app transaction systems in various areas like the Asia-Pacific. This will raise the bar for cyber-attacks and the potential for fraud with which the integration of artificial intelligence is expected to gain ground and drive market growth during the forecast period. The increasing number of frauds in this industry is mitigated by using artificial intelligence by collecting big data in which the machine learns the pattern and monitors user behavior and takes action or reports accordingly.
Market Size Available
2020 – 2026
2022 - 2027
By Component, Application, Deployment Mode, and Region
Various Analyses Covered
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities
North America, Europe, APAC, Latin America, Middle East & Africa
Market Leaders Profiled
Microsoft (Washington, United States), Google (California, United States), Salesforce.com (California, United States), IBM (New York), United States), Intel (California, United States), Amazon Web Services (Washington, United States), Inbenta Technologies (California, United States), IPsoft (New York, United States), Nuance Communications (Massachusetts, United States), and ComplyAdvantage.com (New York, USA) and Others.
Application-based business analytics and reporting is the leading segment in the global AI in financial technology market and is poised to grow at a rapid rate over the next five years as Consumer Behavior Analytics plays a crucial role.
the cloud segment is expected to experience the highest CAGR in the coming years, as it offers a wide range of solutions to meet AI in the global Fintech market.
Regionally, North America has the largest share in the global AI in financial technology market. The lead of North America in this business is due to the significant R&D investments in developed countries like the United States and Canada. North America is considered the most competitive and rapidly developing market for artificial intelligence technology in the financial sector even in the foreseen years. Asia Pacific, among all regions, is likely to register the highest adoption of AI in Fintech solutions due to increasing implementation in most application areas.
Key players in the market:
The main players that offer AI solutions in Fintech market are Microsoft (Washington, United States), Google (California, United States), Salesforce.com (California, United States), IBM (New York), United States), Intel (California, United States), Amazon Web Services (Washington, United States), Inbenta Technologies (California, United States), IPsoft (New York, United States), Nuance Communications (Massachusetts, United States), and ComplyAdvantage.com (New York, USA).
1.1 Market Definition
1.2 Scope of the report
1.3 Study Assumptions
1.4 Base Currency, Base Year and Forecast Periods
2. Research Methodology
2.1 Analysis Design
2.2 Research Phases
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Data Modelling
2.2.4 Expert Validation
2.3 Study Timeline
3. Report Overview
3.1 Executive Summary
3.2 Key Inferencees
4. Market Dynamics
4.1 Impact Analysis
4.2 Regulatory Environment
4.3 Technology Timeline & Recent Trends
5. Competitor Benchmarking Analysis
5.1 Key Player Benchmarking
5.1.1 Market share analysis
5.1.3 Regional Presence
5.2 Mergers & Acquistion Landscape
5.3 Joint Ventures & Collaborations
6. Market Segmentation
6.1 AI in FinTech Market, By Component
6.1.3 Market Size Estimations & Forecasts (2022 - 2027)
6.1.4 Y-o-Y Growth Rate Analysis
6.1.5 Market Attractiveness Index
6.2 AI in FinTech Market, By Application
6.2.1 Virtual Assistant
6.2.2 Business Analytics & Reporting
6.2.3 Customer Behavioral Analytics
6.2.4 Market Size Estimations & Forecasts (2022 - 2027)
6.2.5 Y-o-Y Growth Rate Analysis
6.2.6 Market Attractiveness Index
6.3 AI in FinTech Market, By Deployment Mode
6.3.3 Market Size Estimations & Forecasts (2022 - 2027)
6.3.4 Y-o-Y Growth Rate Analysis
6.3.5 Market Attractiveness Index
7. Geographical Landscape
7.1 Global Identity Governance and Administration Market, by Region
7.2 North America - Market Analysis (2021 - 2027)
7.2.1 By Country
7.2.2 By Component
7.2.3 By Application
7.2.4 By Deployment Mode
7.3.1 By Country
18.104.22.168 Rest of Europe
7.3.2 By Component
7.3.3 By Application
7.3.4 By Deployment Mode
7.4 Asia Pacific
7.4.1 By Country
22.214.171.124 South Korea
126.96.36.199 South East Asia
188.8.131.52 Australia & NZ
184.108.40.206 Rest of Asia-Pacific
7.4.2 By Component
7.4.3 By Application
7.4.4 By Deployment Mode
7.5 Latin America
7.5.1 By Country
220.127.116.11 Rest of Latin America
7.5.2 By Component
7.5.3 By Application
7.5.4 By Deployment Mode
7.6 Middle East and Africa
7.6.1 By Country
18.104.22.168 Middle East
7.6.2 By Component
7.6.3 By Application
7.6.4 By Deployment Mode
8. Key Player Analysis
8.1.1 Business Description
8.1.4 SWOT Analysis
8.1.5 Recent Developments
8.1.6 Analyst Overview
8.5 Intel Corp
8.6 Amazon Web Services
8.8 Inbenta Technologies
8.9 Nuance Communications
9. Market Outlook & Investment Opportunities
List of Tables
List of Figures
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