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Global Machine Learning in Banking Market Size study, By Component (Solution, Service), by Enterprise Size (Large Enterprises, Small and Medium-sized Enterprises (SMEs)), by Application (Credit Scoring, Risk Management Compliance and Security, Payments and Transactions, Customer Service), and Regional Forecasts 2022-2028

August 2022 | 200 pages | ID: G1259A42DD9CEN
Bizwit Research & Consulting LLP

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Global Machine Learning in Banking Market is valued approximately USD XX million in 2021 and is anticipated to grow with a healthy growth rate of more than XX % over the forecast period 2022-2028.

In Banking sector Machine Learning solutions are utilized for automating different applications such as fraud prevention, anomaly detection, credit scoring, anti-money laundering and kyc process, payment processing, onboarding & document processing, and process automation among others. The rising expansion of banking sector worldwide and increasing adoption of AI and ML based services as well as recent strategic partnership from leading market players are factors that are accelerating the global market demand. For instance, according to India Brand Equity Forum (IBEF) – during FY 2020, total deposits in banking were estimated at USD 1936.29 billion, and the deposits are projected to grow to USD 2101.93 billion by end of 2022. Furthermore, leading market players are working towards strategic initiatives to leverage the growing adoption of Machine learning solutions in banking sector. For instance, in February 2022, Dubai, United Arab Emirates based Mashreq Bank announced a new partnership with Israel based ThetaRay, a fintech software and big data analytics solution provider. Through this collaboration the bank would utilize ThetaRay’s AI-driven solution. Moreover, in July 2022, Bentonville, Arkansas, United States based Arvest Bank entered in a five-year partnership with Google Cloud. Under this partnership the bank would leverage Google Cloud’s artificial intelligence (AI) and machine learning (ML) tools to enhance customer experience and streamline its banking services. Also, growing digitization in BFSI sector coupled with increasing emergence of neo banks are anticipated to act as a catalyzing factor for the market demand during the forecast period. However, a high deployment cost associated with AI and ML solutions impedes the growth of the market over the forecast period of 2022-2028.

The key regions considered for the global Machine Learning in Banking Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America is the leading region across the world in terms of market share owing to the growing number of governance and regulatory compliances and presence of leading financial institutions in the region. Whereas, Asia Pacific is anticipated to exhibit a significant growth rate over the forecast period 2022-2028. Factors such as the thriving growth of BFSI industry and increasing penetration of leading market players in the region, would create lucrative growth prospects for the global Machine Learning in Banking Market across the Asia Pacific region.

Major market players included in this report are:
Affirm Inc.
Amazon Web Services, Inc.
Big ML, Inc.
Cisco Systems, Inc.
FICO
Google LLC
Mindtree
Microsoft
SAP SE
SPD-Group


The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component
Solution
Service
By Enterprise Size
Large Enterprises
Small and Medium-sized Enterprises (SMEs)
By Application
Credit Scoring
Risk Management Compliance and Security
Payments and Transactions
Customer Service
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Machine Learning in Banking Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
CHAPTER 1. EXECUTIVE SUMMARY

1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Million)
  1.2.1. Global Machine Learning in Banking Market, by Region, 2020-2028 (USD Million)
  1.2.2. Global Machine Learning in Banking Market, by Component, 2020-2028 (USD Million)
  1.2.3. Global Machine Learning in Banking Market, by Enterprise Size, 2020-2028 (USD Million)
  1.2.4. Global Machine Learning in Banking Market, by Application, 2020-2028 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption

CHAPTER 2. GLOBAL MACHINE LEARNING IN BANKING MARKET DEFINITION AND SCOPE

2.1. Objective of the Study
2.2. Market Definition & Scope
  2.2.1. Scope of the Study
  2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates

CHAPTER 3. GLOBAL MACHINE LEARNING IN BANKING MARKET DYNAMICS

3.1. Machine Learning in Banking Market Impact Analysis (2020-2028)
  3.1.1. Market Drivers
    3.1.1.1. Rising expansion of banking sector worldwide.
    3.1.1.2. Increasing adoption of AI and ML based services.
    3.1.1.3. Recent strategic partnership from leading market players.
  3.1.2. Market Challenges
    3.1.2.1. High deployment cost associated with AI and ML solutions.
  3.1.3. Market Opportunities
    3.1.3.1. Growing digitization in BFSI sector.
    3.1.3.2. Increasing emergence of neo banks

CHAPTER 4. GLOBAL MACHINE LEARNING IN BANKING MARKET INDUSTRY ANALYSIS

4.1. Porter’s 5 Force Model
  4.1.1. Bargaining Power of Suppliers
  4.1.2. Bargaining Power of Buyers
  4.1.3. Threat of New Entrants
  4.1.4. Threat of Substitutes
  4.1.5. Competitive Rivalry
  4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2028)
4.2. PEST Analysis
  4.2.1. Political
  4.2.2. Economical
  4.2.3. Social
  4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies

CHAPTER 5. RISK ASSESSMENT: COVID-19 IMPACT

  5.1.1. Assessment of the overall impact of COVID-19 on the industry
  5.1.2. Pre COVID-19 and post COVID-19 Market scenario

CHAPTER 6. GLOBAL MACHINE LEARNING IN BANKING MARKET, BY COMPONENT

6.1. Market Snapshot
6.2. Global Machine Learning in Banking Market by Component, Performance - Potential Analysis
6.3. Global Machine Learning in Banking Market Estimates & Forecasts by Component 2018-2028 (USD Million)
6.4. Machine Learning in Banking Market, Sub Segment Analysis
  6.4.1. Solution
  6.4.2. Service

CHAPTER 7. GLOBAL MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE

7.1. Market Snapshot
7.2. Global Machine Learning in Banking Market by Enterprise Size, Performance - Potential Analysis
7.3. Global Machine Learning in Banking Market Estimates & Forecasts by Enterprise Size 2018-2028 (USD Million)
7.4. Machine Learning in Banking Market, Sub Segment Analysis
  7.4.1. Large Enterprises
  7.4.2. Small and Medium-sized Enterprises (SMEs)

CHAPTER 8. GLOBAL MACHINE LEARNING IN BANKING MARKET, BY APPLICATION

8.1. Market Snapshot
8.2. Global Machine Learning in Banking Market by Application, Performance - Potential Analysis
8.3. Global Machine Learning in Banking Market Estimates & Forecasts by Application 2018-2028 (USD Million)
8.4. Machine Learning in Banking Market, Sub Segment Analysis
  8.4.1. Credit Scoring
  8.4.2. Risk Management Compliance and Security
  8.4.3. Payments and Transactions
  8.4.4. Customer Service

CHAPTER 9. GLOBAL MACHINE LEARNING IN BANKING MARKET, REGIONAL ANALYSIS

9.1. Machine Learning in Banking Market, Regional Market Snapshot
9.2. North America Machine Learning in Banking Market
  9.2.1. U.S. Machine Learning in Banking Market
    9.2.1.1. Component estimates & forecasts, 2018-2028
    9.2.1.2. Enterprise Size estimates & forecasts, 2018-2028
    9.2.1.3. Application estimates & forecasts, 2018-2028
  9.2.2. Canada Machine Learning in Banking Market
9.3. Europe Machine Learning in Banking Market Snapshot
  9.3.1. U.K. Machine Learning in Banking Market
  9.3.2. Germany Machine Learning in Banking Market
  9.3.3. France Machine Learning in Banking Market
  9.3.4. Spain Machine Learning in Banking Market
  9.3.5. Italy Machine Learning in Banking Market
  9.3.6. Rest of Europe Machine Learning in Banking Market
9.4. Asia-Pacific Machine Learning in Banking Market Snapshot
  9.4.1. China Machine Learning in Banking Market
  9.4.2. India Machine Learning in Banking Market
  9.4.3. Japan Machine Learning in Banking Market
  9.4.4. Australia Machine Learning in Banking Market
  9.4.5. South Korea Machine Learning in Banking Market
  9.4.6. Rest of Asia Pacific Machine Learning in Banking Market
9.5. Latin America Machine Learning in Banking Market Snapshot
  9.5.1. Brazil Machine Learning in Banking Market
  9.5.2. Mexico Machine Learning in Banking Market
9.6. Rest of The World Machine Learning in Banking Market

CHAPTER 10. COMPETITIVE INTELLIGENCE

10.1. Top Market Strategies
10.2. Company Profiles
  10.2.1. Affirm, Inc.
    10.2.1.1. Key Information
    10.2.1.2. Overview
    10.2.1.3. Financial (Subject to Data Availability)
    10.2.1.4. Product Summary
    10.2.1.5. Recent Developments
  10.2.2. Amazon Web Services, Inc.
  10.2.3. Big ML, Inc.
  10.2.4. Cisco Systems, Inc.
  10.2.5. FICO
  10.2.6. Google LLC
  10.2.7. Mindtree
  10.2.8. Microsoft
  10.2.9. SAP SE
  10.2.10. SPD-Group

CHAPTER 11. RESEARCH PROCESS

11.1. Research Process
  11.1.1. Data Mining
  11.1.2. Analysis
  11.1.3. Market Estimation
  11.1.4. Validation
  11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

LIST OF TABLES

TABLE 1. Global Machine Learning in Banking Market, report scope
TABLE 2. Global Machine Learning in Banking Market estimates & forecasts by Region 2018-2028 (USD Million)
TABLE 3. Global Machine Learning in Banking Market estimates & forecasts by Component 2018-2028 (USD Million)
TABLE 4. Global Machine Learning in Banking Market estimates & forecasts by Enterprise Size 2018-2028 (USD Million)
TABLE 5. Global Machine Learning in Banking Market estimates & forecasts by Application 2018-2028 (USD Million)
TABLE 6. Global Machine Learning in Banking Market by segment, estimates & forecasts, 2018-2028 (USD Million)
TABLE 7. Global Machine Learning in Banking Market by region, estimates & forecasts, 2018-2028 (USD Million)
TABLE 8. Global Machine Learning in Banking Market by segment, estimates & forecasts, 2018-2028 (USD Million)
TABLE 9. Global Machine Learning in Banking Market by region, estimates & forecasts, 2018-2028 (USD Million)
TABLE 10. Global Machine Learning in Banking Market by segment, estimates & forecasts, 2018-2028 (USD Million)
TABLE 11. Global Machine Learning in Banking Market by region, estimates & forecasts, 2018-2028 (USD Million)
TABLE 12. Global Machine Learning in Banking Market by segment, estimates & forecasts, 2018-2028 (USD Million)
TABLE 13. Global Machine Learning in Banking Market by region, estimates & forecasts, 2018-2028 (USD Million)
TABLE 14. Global Machine Learning in Banking Market by segment, estimates & forecasts, 2018-2028 (USD Million)
TABLE 15. Global Machine Learning in Banking Market by region, estimates & forecasts, 2018-2028 (USD Million)
TABLE 16. U.S. Machine Learning in Banking Market estimates & forecasts, 2018-2028 (USD Million)
TABLE 17. U.S. Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 18. U.S. Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 19. Canada Machine Learning in Banking Market estimates & forecasts, 2018-2028 (USD Million)
TABLE 20. Canada Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 21. Canada Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 22. UK Machine Learning in Banking Market estimates & forecasts, 2018-2028 (USD Million)
TABLE 23. UK Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 24. UK Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 25. Germany Machine Learning in Banking Market estimates & forecasts, 2018-2028 (USD Million)
TABLE 26. Germany Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 27. Germany Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 28. RoE Machine Learning in Banking Market estimates & forecasts, 2018-2028 (USD Million)
TABLE 29. RoE Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 30. RoE Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 31. China Machine Learning in Banking Market estimates & forecasts, 2018-2028 (USD Million)
TABLE 32. China Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 33. China Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 34. India Machine Learning in Banking Market estimates & forecasts, 2018-2028 (USD Million)
TABLE 35. India Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 36. India Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 37. Japan Machine Learning in Banking Market estimates & forecasts, 2018-2028 (USD Million)
TABLE 38. Japan Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 39. Japan Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 40. RoAPAC Machine Learning in Banking Market estimates & forecasts, 2018-2028 (USD Million)
TABLE 41. RoAPAC Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 42. RoAPAC Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 43. Brazil Machine Learning in Banking Market estimates & forecasts, 2018-2028 (USD Million)
TABLE 44. Brazil Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 45. Brazil Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 46. Mexico Machine Learning in Banking Market estimates & forecasts, 2018-2028 (USD Million)
TABLE 47. Mexico Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 48. Mexico Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 49. RoLA Machine Learning in Banking Market estimates & forecasts, 2018-2028 (USD Million)
TABLE 50. RoLA Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 51. RoLA Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 52. Row Machine Learning in Banking Market estimates & forecasts, 2018-2028 (USD Million)
TABLE 53. Row Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 54. Row Machine Learning in Banking Market estimates & forecasts by segment 2018-2028 (USD Million)
TABLE 55. List of secondary sources, used in the study of global Machine Learning in Banking Market
TABLE 56. List of primary sources, used in the study of global Machine Learning in Banking Market
TABLE 57. Years considered for the study
TABLE 58. Exchange rates considered

LIST OF FIGURES

FIG 1. Global Machine Learning in Banking Market, research methodology
FIG 2. Global Machine Learning in Banking Market, Market estimation techniques
FIG 3. Global Market size estimates & forecast methods
FIG 4. Global Machine Learning in Banking Market, key trends 2021
FIG 5. Global Machine Learning in Banking Market, growth prospects 2022-2028
FIG 6. Global Machine Learning in Banking Market, porters 5 force model
FIG 7. Global Machine Learning in Banking Market, pest analysis
FIG 8. Global Machine Learning in Banking Market, value chain analysis
FIG 9. Global Machine Learning in Banking Market by segment, 2018 & 2028 (USD Million)
FIG 10. Global Machine Learning in Banking Market by segment, 2018 & 2028 (USD Million)
FIG 11. Global Machine Learning in Banking Market by segment, 2018 & 2028 (USD Million)
FIG 12. Global Machine Learning in Banking Market by segment, 2018 & 2028 (USD Million)
FIG 13. Global Machine Learning in Banking Market by segment, 2018 & 2028 (USD Million)
FIG 14. Global Machine Learning in Banking Market, regional snapshot 2018 & 2028
FIG 15. North America Machine Learning in Banking Market 2018 & 2028 (USD Million)
FIG 16. Europe Machine Learning in Banking Market 2018 & 2028 (USD Million)
FIG 17. Asia pacific Market 2018 & 2028 (USD Million)
FIG 18. Latin America Machine Learning in Banking Market 2018 & 2028 (USD Million)
FIG 19. Global Machine Learning in Banking Market, company Market share analysis (2021)


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