세계의 은행/금융서비스/보험(BFSI)용 AI 및 고급 ML 시장(2023-2030년)

Title: Global Artificial Intelligence (AI) & Advanced Machine Learning (ML) in BFSI Market Size, Share & Trends Analysis Report by Type (Solution and Services), by Deployment (Cloud and On-Premises), and by Application (Chatbots, Credit Scoring, Quantitative and Asset Management, Fraud Detection, and Others),Forecast Period (2023-2030).

The global AI & advanced ML in BFSI market is anticipated to grow at an exponential CAGR of 50.5% during the forecast period. The ongoing development of AI & ML technologies within BFSI services is anticipated to boost the revenue of financial institution while lowering cost. The growing adoption of AI & advanced ML in BFSIs across the globe is a key factor driving the growth of the global AI & advanced ML in BFSI market. With renowned firms such as Bank of America, JPMorgan, and Morgan Stanley investing heavily in ML technologies to develop automated investment advisors, the disruption in the investment banking industry is quite evident.

Advanced machine learning powered solutions allow finance companies to completely replace manual work by automating repetitive tasks through intelligent process automation for enhanced business productivity. Chatbots, paperwork automation, and employee training gamification are some of the key instances of process automation in finance using machine learning. This enables finance companies to improve their customer experience, reduce costs, and scale up their services.

Data security in banking & finance is a critically important area. With all the information available online, organizations find it increasingly challenging to keep all the usernames, passwords, and security questions safe. Adyen, Payoneer, PayPal, Stripe, and Skrill happen to some of the companies that have invested heavily in security machine learning. The growing investment in advanced ML in banking sector is driving the growth of the global AI & advanced ML in BFSI market.

Segmental Outlook

The global AI & advanced ML in BFSI market is segmented based on component, deployment model, and application. Based on component, the market is segmented into solution and services. Based on deployment model, the market is sub-segmented into on-premises and cloud-based. Based on application, the market is segmented into chatbots, credit scoring, quantitative and asset management, fraud detection, and others.

Fraud Detection Segment to Exhibit Highest Growth Around the Global

According to a new poll conducted by Certified Fraud Examiners (ACFE) and analytics pioneer SAS in 2022, the use of Artificial Intelligence (AI) and Machine Learning (ML) for fraud detection increased internationally. According to the poll, 13.0% of organizations employ artificial intelligence (AI) and ML to detect and deter fraud, with another 25.0% planning to do so in the next year or two, representing roughly 200.0% growth. According to the poll, fraud examiners identified this and other anti-fraud tech developments in a cross-industry that are extensively spreading. In 2022, the RBI reported around 9,103 bank frauds incidents in India. The presence of large number of bank frauds across the region create scope for the AI & ML providers to develop new solutions or tools to cater the wide range of customer needs.

Regional Outlook

The global AI & advanced ML in BFSI market is further segmented based on geography, including North America (the US and Canada), Europe (Italy, Spain, Germany, France, and others), Asia-Pacific (India, China, Japan, South Korea, and others), and the Rest of the World (the Middle East & Africa and Latin America). Among these, Asia-Pacific is estimated to be the fastest-growing region owing to the growing adoption of AI & ML in banks of emerging economies of the region such as India & China. In August 2023, the central bank (RBI) selected McKinsey and Company India LLP and Accenture Solutions Pvt Ltd India to develop systems that use AI and ML for supervisory functions.

The North America Region held Considerable Share in the Global AI & Advanced ML in BFSI Market

North America held a considerable share in the global AI & advanced ML in BFSI market. In North America, the US held a major market share in the regional market. High adoption rate of smart technologies, presence of wide and maintained IT infrastructure along with key market players are the key contributors to the high share of the regional market. For instance, in May 2023, JPMorgan Chase & Co. announced that it is developing a ChatGPT-like software service that leans on a disruptive form of AIto select investments for customers. The company also applied to trademark a product called IndexGPT earlier this month. It is an AI program to select financial securities.

Market Players Outlook

The major companies serving the global AI & advanced ML in BFSI market include: Amazon Web Services, Inc., Cisco Systems Inc., IBM Corp., Microsoft Corp., and SAP SE among others. The market players are considerably contributing to the market growth by the adoption of various strategies, including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market.

For instance, in March 2022, Shift Technology, a provider of AI-driven decision automation and optimization solutions for the global insurance industry, and Duck Creek Technologies, a global technology solutions provider to the property and casualty (P&C) insurance industry have entered a solution partnership to bring AI-enabled fraud detection capabilities to market. Once fully integrated, insurers taking advantage of Duck Creek Claims will have real-time fraud alerts delivered directly to the claim's management software environment.

The Report Covers:

• Market value data analysis of 2022 and forecast to 2030.
• Annualized market revenues ($ million) for each market segment.
• Country-wise analysis of major geographical regions.
• Key companies operating in the global AI & advanced ML in BFSI market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
• Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
• Analysis of market-entry and market expansion strategies.
• Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

• Current Industry Analysis and Growth Potential Outlook
• 1.1. Research Methods and Tools
• 1.2. Market Breakdown
  • 1.2.1. By Segments
  • 1.2.2. By Region

2. Market Overview and Insights

• 2.1. Scope of the Report
• 2.2. Analyst Insight & Current Market Trends
  • 2.2.1. Key Findings
  • 2.2.2. Recommendations
  • 2.2.3. Conclusion

3. Competitive Landscape

• 3.1. Key Company Analysis
• 3.2. Amazon Web Services, Inc.
  • 3.2.1. Overview
  • 3.2.2. Financial Analysis
  • 3.2.3. SWOT Analysis
  • 3.2.4. Recent Developments
• 3.3. Cisco System Inc.
  • 3.3.1. Overview
  • 3.3.2. Financial Analysis
  • 3.3.3. SWOT Analysis
  • 3.3.4. Recent Developments
• 3.4. IBM Corp.
  • 3.4.1. Overview
  • 3.4.2. Financial Analysis
  • 3.4.3. SWOT Analysis
  • 3.4.4. Recent Developments
• 3.5. Microsoft Corp.
  • 3.5.1. Overview
  • 3.5.2. Financial Analysis
  • 3.5.3. SWOT Analysis
  • 3.5.4. Recent Developments
• 3.6. SAP SE
  • 3.6.1. Overview
  • 3.6.2. Financial Analysis
  • 3.6.3. SWOT Analysis
  • 3.6.4. Recent Developments
• 3.7. Key Strategy Analysis

4. Market Segmentation

• 4.1. Global AI & Advanced Machine Learning in BFSI Market by Component
  • 4.1.1. Solution
  • 4.1.2. Services
• 4.2. Global AI & Advanced Machine Learning in BFSI Market by Deployment Model
  • 4.2.1. On-Premises
  • 4.2.2. Cloud-Based
• 4.3. Global AI & Advanced Machine Learning in BFSI Market by Application
  • 4.3.1. Chatbots
  • 4.3.2. Credit Scoring
  • 4.3.3. Quantitative & Asset Management
  • 4.3.4. Fraud Detection
  • 4.3.5. Others (Digital Assistance, Sales & Marketing, Customer Segmentation)

5. Regional Analysis

• 5.1. North America
  • 5.1.1. United States
  • 5.1.2. Canada
• 5.2. Europe
  • 5.2.1. UK
  • 5.2.2. Germany
  • 5.2.3. Italy
  • 5.2.4. Spain
  • 5.2.5. France
  • 5.2.6. Rest of Europe
• 5.3. Asia-Pacific
  • 5.3.1. China
  • 5.3.2. India
  • 5.3.3. Japan
  • 5.3.4. South Korea
  • 5.3.5. Rest of Asia-Pacific
• 5.4. Rest of the World

6. Company Profiles

• 6.1. Active.Ai
• 6.2. Amazon Web Services Inc.
• 6.3. Betterment Holdings
• 6.4. ComplyAdvantage.com
• 6.5. Data Minr Inc.
• 6.6. Intel Corp.
• 6.7. IPsoft Inc.
• 6.8. Narrative Science
• 6.9. Next IT Corp.
• 6.10. Onfido
• 6.11. Pefin Holdings LLC
• 6.12. Ripple Labs Inc.
• 6.13. SAS Institute Inc.
• 6.14. Sift Science Inc.
• 6.15. TIBCO Software (Alpine Data Labs)
• 6.16. Trifacta Software Inc.
• 6.17. WealthFront Inc.
• 6.18. Zeitgold