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세계의 은행 분야 예측 분석 시장 보고서(2025년)
Predictive Analytics in Banking Global Market Report 2025
상품코드 : 1808816
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

은행 분야의 예측 분석 시장 규모는 향후 수년간 비약적인 성장이 예상됩니다. 2029년에 CAGR은 20.4%를 나타낼 것으로 예측되며 97억 3,000만 달러로 성장할 전망입니다. 예측 기간 동안의 성장은 인공지능 및 머신러닝, 빅데이터와 실시간 분석, 규제 압박과 규제 준수, 개인화에 대한 고객 기대, 사이버 보안 및 부정행위 방지에 기인할 수 있습니다. 예측 기간의 주요 트렌드로는 개인화를 통한 고객 경험 향상, 고급 예측 모델을 위한 AI 및 머신러닝 통합, 즉각적 의사결정을 위한 실시간 예측 분석, 사이버 보안 및 부정행위 방지, 규제 준수 및 리스크 관리에 대한 집중도 증가 등이 있습니다.

향후 5년간 20.4% 성장이라는 예측치는 해당 시장에 대한 이전 추정치 대비 0.3% 소폭 하락한 수치입니다. 이러한 감소는 주로 미국과 타국 간 관세 영향 때문입니다. 중국과 핀란드에서 주로 조달되는 머신러닝 알고리즘 및 고객 행동 예측 플랫폼이 개발 비용을 증가시키는 특수 하드웨어 관세 대상이 됨에 따라, 예측 정확도 저하를 통해 미국에 직접적인 영향을 미칠 가능성이 높습니다. 또한 상호 보복 관세와 무역 긴장 및 제한 강화로 인한 세계 경제 및 무역에 대한 부정적 영향으로 그 효과가 더 광범위하게 나타날 것입니다.

부정행위 증가는 은행 분야의 예측 분석 시장 성장을 촉진할 것으로 예상됩니다. 부정행위 행위는 개인적 또는 재정적 이익을 위해 개인이나 조직을 속이거나 조작하기 위해 고안된 의도적인 계획을 포함합니다. 은행 업계에서는 증가하는 사이버 공격과 디지털 뱅킹 서비스 확대로 인해 부정행위 사건이 급증하고 있습니다. 예측 분석은 고급 알고리즘을 활용해 실시간으로 비정상적인 패턴과 행동을 탐지하고 경고함으로써 이러한 위협에 대응하는 데 도움을 주며, 사전적 부정행위 탐지 및 예방을 용이하게 합니다. 예를 들어, 2024년 2월 연방거래위원회(FTC)는 2023년 소비자들이 부정행위로 100억 달러 이상을 잃었으며 이는 전년 대비 14% 증가한 수치라고 보고했습니다. 따라서 부정행위 활동의 증가하는 발생률은 은행 분야 예측 분석에 대한 수요를 촉진하고 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 거시경제 시나리오 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별, 국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

HBR
영문 목차

영문목차

Predictive analytics in banking involves using advanced techniques such as statistical analysis, machine learning, and data mining to examine historical and current data in order to forecast future trends and behaviors. This approach helps financial institutions make informed decisions by predicting customer behavior, market conditions, and potential risks.

Key areas of predictive analytics in banking include marketing, sales, finance, human resources, and operations. In marketing, predictive analytics focuses on strategic activities and functions designed to meet customer needs and improve services. This encompasses various solutions and services, with deployment models that include both on-premise and cloud options. Applications of predictive analytics extend to small and medium enterprises (SMEs) as well as large enterprises.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a considerable impact on the financial sector, particularly in the areas of investment strategies and risk management. The increased tariffs have intensified market volatility, leading institutional investors to adopt more cautious approaches and driving greater demand for hedging solutions. Banks and asset managers are encountering higher costs in cross-border transactions as disrupted global supply chains and declining corporate earnings weigh on equity market performance. At the same time, insurance providers are facing elevated claims risks linked to supply chain interruptions and trade-related business losses. Furthermore, reduced consumer spending and weaker export demand are limiting credit growth and dampening investment appetite. In response to these challenges, the sector must focus on diversification, accelerate digital transformation, and strengthen scenario planning to manage the heightened economic uncertainty and safeguard profitability.

The predictive analytics in banking market research report is one of a series of new reports from The Business Research Company that provides predictive analytics in banking market statistics, including predictive analytics in banking industry global market size, regional shares, competitors with a predictive analytics in banking market share, detailed predictive analytics in banking market segments, market trends, and opportunities, and any further data you may need to thrive in the predictive analytics in banking industry. This predictive analytics in banking market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The predictive analytics in banking market size has grown exponentially in recent years. It will grow from $3.84 billion in 2024 to $4.62 billion in 2025 at a compound annual growth rate (CAGR) of 20.5%. The growth in the historic period can be attributed to credit risk assessment, fraud detection and prevention, customer segmentation and personalization, regulatory compliance and operational efficiency.

The predictive analytics in banking market size is expected to see exponential growth in the next few years. It will grow to $9.73 billion in 2029 at a compound annual growth rate (CAGR) of 20.4%. The growth in the forecast period can be attributed to artificial intelligence and machine learning, big data and real-time analytics, regulatory pressure and compliance, customer expectations for personalization and cybersecurity and fraud prevention. Major trends in the forecast period include enhanced customer experience through personalization, integration of AI and machine learning for advanced predictive models, real-time predictive analytics for instant decision-making, increased focus on cybersecurity and fraud prevention and regulatory compliance and risk management.

The forecast of 20.4% growth over the next five years reflects a modest reduction of 0.3% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US through less accurate forecasting, as machine learning algorithms and customer behavior prediction platforms, primarily sourced from China and Finland, become subject to specialized hardware tariffs that increase development costs. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increasing prevalence of fraudulent activities is expected to drive the growth of predictive analytics in the banking sector. Fraudulent activities involve deliberate schemes designed to deceive or manipulate individuals or organizations for personal or financial gain. In the banking industry, rising cyberattacks and the expansion of digital banking services are contributing to the surge in fraud. Predictive analytics helps combat these threats by using advanced algorithms to detect and flag unusual patterns and behaviors in real time, facilitating proactive fraud detection and prevention. For example, in February 2024, the Federal Trade Commission reported that consumers lost over $10 billion to fraud in 2023, a 14% increase from the previous year. Thus, the growing incidence of fraudulent activities is fueling the demand for predictive analytics in banking.

Leading companies in the predictive analytics in banking market are developing AI-powered data analytics platforms to enhance data analysis and interpretation, enabling faster insights and more informed decision-making. These platforms utilize advanced data processing, predictive modeling, and pattern recognition to improve risk management, personalize customer experiences, detect fraud, streamline operations, and identify new growth opportunities. For example, in March 2024, TransUnion, a US-based information technology firm, introduced OneTru, an AI-driven data analytics platform designed to advance data access and decision-making for financial institutions. This cloud-based platform integrates data analytics, credit risk assessment, and fraud detection into a single portal, using artificial intelligence and machine learning. OneTru consolidates fragmented data sources, providing streamlined access to credit bureau, consumer identity, and marketing data, thereby enhancing the speed and quality of analytics and improving client decision-making processes.

In August 2024, EXL, a US-based technology and operations management firm, acquired ITI Data for an undisclosed sum. This acquisition strengthens EXL's capabilities in managing large-scale data, improving data integration, and delivering advanced analytics solutions. As a result, EXL can provide its clients with enhanced insights, better decision-making, and more efficient operations. ITI Data, based in the US, specializes in data management and predictive analytics within the banking sector.

Major companies operating in the predictive analytics in banking market are Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, SAS Institute Inc., Turing Analytics, Databricks Inc., Alteryx Inc., H2O.ai, EdgeVerve Systems Limited, Google Cloud, Dataiku, Datarobot Inc., Feature Labs, KNIME, Altair Engineering Inc., Rasa, Peltarion, Auger.AI, BigML, Big Squid Inc, dotData Inc., Determined.ai Inc., Turi

North America was the largest region in the predictive analytics in banking market in 2024. The regions covered in the predictive analytics in banking market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the predictive analytics in banking market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The predictive analytics in banking market consists of revenues earned by entities by providing services such as customer segmentation and profiling, credit risk assessment, and fraud detection and prevention. The market value includes the value of related goods sold by the service provider or included within the service offering. The predictive analytics in banking market also includes sales of workstations, security hardware, and network infrastructure. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Predictive Analytics in Banking Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on predictive analytics in banking market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for predictive analytics in banking ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The predictive analytics in banking market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Predictive Analytics in Banking Market Characteristics

3. Predictive Analytics in Banking Market Trends And Strategies

4. Predictive Analytics in Banking Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Predictive Analytics in Banking Growth Analysis And Strategic Analysis Framework

6. Predictive Analytics in Banking Market Segmentation

7. Predictive Analytics in Banking Market Regional And Country Analysis

8. Asia-Pacific Predictive Analytics in Banking Market

9. China Predictive Analytics in Banking Market

10. India Predictive Analytics in Banking Market

11. Japan Predictive Analytics in Banking Market

12. Australia Predictive Analytics in Banking Market

13. Indonesia Predictive Analytics in Banking Market

14. South Korea Predictive Analytics in Banking Market

15. Western Europe Predictive Analytics in Banking Market

16. UK Predictive Analytics in Banking Market

17. Germany Predictive Analytics in Banking Market

18. France Predictive Analytics in Banking Market

19. Italy Predictive Analytics in Banking Market

20. Spain Predictive Analytics in Banking Market

21. Eastern Europe Predictive Analytics in Banking Market

22. Russia Predictive Analytics in Banking Market

23. North America Predictive Analytics in Banking Market

24. USA Predictive Analytics in Banking Market

25. Canada Predictive Analytics in Banking Market

26. South America Predictive Analytics in Banking Market

27. Brazil Predictive Analytics in Banking Market

28. Middle East Predictive Analytics in Banking Market

29. Africa Predictive Analytics in Banking Market

30. Predictive Analytics in Banking Market Competitive Landscape And Company Profiles

31. Predictive Analytics in Banking Market Other Major And Innovative Companies

32. Global Predictive Analytics in Banking Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Predictive Analytics in Banking Market

34. Recent Developments In The Predictive Analytics in Banking Market

35. Predictive Analytics in Banking Market High Potential Countries, Segments and Strategies

36. Appendix

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