1. Artificial Intelligence Market in Fintech – Market Overview
2. Artificial Intelligence Market in Fintech – Executive Summary
3. Artificial Intelligence Market in Fintech – Market Landscape
3.1. Market Share Analysis
3.2. Comprehensive Market Share Analysis
3.3. Comparative Analysis
3.3.1. Competitor Benchmarking
3.3.2. Competitor Financial Analysis
3.3.3. Patent Analysis
3.3.4. End-User Profiling
4. Artificial Intelligence Market in Fintech – Market Forces
4.1. Market Drivers
4.2. Market Constraints
4.3. Market Challenges
4.4. Attractiveness of the Motion Control Industry
4.4.1. Power of Suppliers
4.4.2. Power of Customers
4.4.3. Threat of New entrants
4.4.4. Threat of Substitution
4.4.5. Degree of Competition
5. Artificial Intelligence Market in Fintech – Strategic Analysis
5.1. Value Chain Analysis
5.2. Pricing Analysis
5.2.1. Influencing Factor Analysis
5.2.2. Forecast of Prices
5.3. Opportunities Analysis
5.4. Product/Market Life Cycle Analysis
6. Artificial Intelligence Market in Fintech – By Intelligence Type
6.3. Social intelligence
6.5. Problem solving
7. Artificial Intelligence Market in Fintech - By Application
7.2. Personal Assistants
7.3. Quantitative & Asset Management
7.4. Debt Management & Sentiment Analysis
7.6. Business Finance & Expense Reporting
7.7. Peer-to-peer lending
7.8. Fraud detection
7.9. Regulatory compliance
7.10. Credit Scoring
8. Artificial Intelligence Market in Fintech – By Geography
8.2.4. Rest of Americas
8.3.5. Rest of Europe
8.4. Asia Pacific
8.4.4. Rest of APAC
8.5. Rest of the World
9. Artificial Intelligence Market in Fintech Market Entropy
9.2. Product Launches - Most Dominant Strategy
9.3. Mergers, Agreements & Partnerships
9.4. Acquisitions and Others
10. Company Profiles
10.2. Facebook, Inc.
10.3. Salesforce.com, inc.
10.5. Baidu, Inc.
10.6. Google, Inc.
10.8. YapStone, Inc.
10.9. PayPal Holdings
10.10. LendingClub Corporation
10.12. AlphaSense, Inc.
*More than 10 Companies are profiled in this Research Report*
"*Financials would be provided on a best efforts basis for private companies"
11.3. Research Methodology
11.5. Compilation of Expert Insights
Artificial Intelligence (AI) is a branch of Computer Science that pursues computers, machines and software to exhibit intelligence as human beings to perceive the environment and act accordingly in problem solving or performing a task successfully. The deployment of AI into Fintech is growing at a greater pace owing to the existed bounds such as limited database and time and cost of transactions. Digital transformations and banking regulations posed by government in various countries such as India are the major drivers for the market.
This report on Artificial Intelligence in Fintech segmented the market by product, intelligence type, device and application. AI is used in various applications such as credit scoring or lending, quantitative & asset management, insurance, fraud detection and others.[Where are the subsegments of each segment][Done] The market is further classified by product into Kiosk machines, bill collectors, card readers, thermal pointers and others. The machines exhibit various kinds of human intelligence such as visual perception, social intelligence, planning and others. Peer-to-peer money lending, fraud detection, loan recovery, debt management and business finance and expense reporting are some of the major applications of AI in Fintech.
The market is segmented by geography into Americas, Europe, APAC and RoW. Americas region holds major share on the market owing to the large number of startups and emerged companies offering AI services to financial services. However, the growing banking sector and digitalization reforms in countries like India and China increased the deployment of AI in financial sector driving APAC region to emerge as the fastest growing region.
Sample Companies Profiled in this Report are:
- Google, Inc. (U.S.)
- Salesforce.com, Inc. (U.S.)
- Facebook, Inc. (U.S.)
- Baidu, Inc. (China).
Fintech may be in any form from simple applications or processes to innovative products and business models. The advantages of AI boosting its penetration into Fintech include the capability to manage properties, organize operations, fraud detection and loan recovery. . AI also provides solutions for mitigating and identifying cyberthreats and client onboarding. The usage of AI into Banks is coupled with the extended benefits such as back office operations, customer experience, compliance and risk management. The high end capabilities of AI and fast and secure business needs are the major driving factors for the market. The boundless growth in data management and advancements in technologies such as machine learning algorithms and cloud computing are expanding the use of AI in financial services.
The methodology followed in estimating the Artificial Intelligence market in Fintech involved demand in various applications. The segmentations have been cross-mapped extensively to understand various market dynamics. Simultaneously, the companies involved at integration and distribution level were also studied from the perspective of their services, geographical presence, annual turnover and few other parameters to substantiate the estimations. All these estimations were further validated through primary research and industry experts.