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세계의 금융 데이터 분석 시장 보고서(2025년)
Data Analytics In Financial Global Market Report 2025
상품코드 : 1822814
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

금융 데이터 분석 시장 규모는 향후 수년간 급성장할 것으로 전망됩니다. 2029년에는 CAGR 15.1%로 성장할 전망이며, 281억 7,000만 달러로 성장이 예측됩니다. 예측 기간에는 클라우드 기반 애널리틱스 확대, 개인화된 금융 서비스에 대한 수요 증가, 블록체인 기술 채택 확대, 모바일 뱅킹 이용 급증, 고급 부정 감지에 대한 요구 증가, 고객 경험 중시 강화 등이 성장의 원동력이 될 것으로 예측됩니다. 예측되는 주요 동향으로는 양자 안전 암호 기술의 발전, 설명 가능한 AI 모델 개발, 연계 학습 시스템 혁신, 합성 데이터 생성 채택, 고객 분석에 대한 감정 AI 활용 등이 있습니다.

금융 분야에서의 사기 사건 증가는 향후 수년간 금융 서비스를 위한 데이터 분석 시장의 성장을 가속할 것으로 예측됩니다. 금융 사기에는 은행, 투자, 보험 시스템 내에서 자금에 대한 무단 액세스, 데이터 조작, 거래 위조 등 사람을 속이는 행위가 포함됩니다. 이러한 부정 행위는 디지털 방식과 전통적인 방법 모두를 통해 발생할 수 있으며, 제도의 무결성을 손상시키고 소비자의 신뢰를 손상시킵니다. 부정 행위 증가는 보안이 강화되지 않은 채 은행 서비스가 급속히 디지털화되어 고급 사이버 범죄자가 악용하는 취약성이 발생했기 때문입니다. 금융 데이터 분석은 고급 알고리즘을 사용하여 의심스러운 패턴과 이상을 실시간으로 식별하여 부정 행위에 대항합니다. 이러한 도구는 사기 행위를 신속하게 감지하고 재무 손실을 줄이며 보안 조치를 강화합니다. 또한 컴플라이언스를 개선하고 더 나은 의사결정을 지원함으로써 금융기관에 대한 신뢰를 강화합니다. 예를 들어, 2025년 3월 미국 연방거래위원회(FTC)는 2023년 27%에서 2024년 38% 사기 사건이 금전적 손실을 수반했다고 보고했습니다. 그 결과, 부정 행위 발생률 증가가 금융 분야에서의 데이터 분석 확대에 박차를 가하고 있습니다.

금융 데이터 분석 시장의 주요 기업은 실시간 의사결정, 위험 관리 및 사기 감지를 개선하기 위해 AI를 활용한 예측 분석 플랫폼과 같은 혁신적인 솔루션을 개발하고 있습니다. 이러한 플랫폼은 머신러닝 알고리즘, 얼터너티브 데이터 소스 통합, 클라우드 기반 프로세싱을 결합하여 엄청난 금융 데이터 세트를 분석하여 시장 동향 예측, 사기 감지, 투자 전략 최적화를 높은 정확도로 실현합니다. 예를 들어 미국을 기반으로 하는 AI 리서치사 Anthropic PBC는 2025년 7월 정확한 금융 분석을 제공하면서 유해한 출력을 방지하도록 설계된 체질적인 AI 세이프 가드를 특징으로 하는 엔터프라이즈급 언어 모델인 Claude for Financial Services를 발표했습니다. 이 제품은 은행 및 투자 부문에서 중요한 컴플라이언스 과제를 해결하고 기존의 대규모 언어 모델(LLM)에 비해 AI 환각 위험을 80% 줄입니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향 및 전략

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

제5장 세계의 성장 분석 및 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별 및 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 구도 및 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹 및 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문 및 전략

제36장 부록

AJY
영문 목차

영문목차

Data analytics in finance involves the application of advanced analytical tools and techniques-such as statistical models, machine learning, and data mining-to examine financial data and support better decision-making. Its primary goals are to identify trends, evaluate risks, optimize investment strategies, and enhance overall financial performance and forecasting.

The main components of financial data analytics include software and services. Software encompasses advanced computational tools and methods used to collect, process, and analyze financial data for improved decision-making, risk management, compliance, and strategic planning. These solutions are utilized by organizations of various sizes, including small and medium-sized enterprises (SMEs) and large corporations, and are implemented via different deployment models such as on-premises and cloud-based platforms. Data analytics is applied across multiple areas, including risk management, fraud detection and prevention, customer management, compliance and security management, among others. Key end-users span sectors such as banking, insurance, investment management, and others.

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 rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the financial sector, particularly in investment strategies and risk management. Heightened tariffs have fueled market volatility, prompting cautious behavior among institutional investors and increasing demand for hedging instruments. Banks and asset managers are facing higher costs associated with cross-border transactions, as tariffs disrupt global supply chains and dampen corporate earnings, key drivers of equity market performance. Insurance companies, meanwhile, are grappling with increased claims risks tied to supply chain disruptions and trade-related business losses. Additionally, reduced consumer spending and weakened export demand are constraining credit growth and investment appetite. The sector must now prioritize diversification, digital transformation, and robust scenario planning to navigate the heightened economic uncertainty and protect profitability.

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

The data analytics in financial market size has grown rapidly in recent years. It will grow from $13.89 billion in 2024 to $16.05 billion in 2025 at a compound annual growth rate (CAGR) of 15.5%. The growth during the historic period can be attributed to increasing regulatory requirements, the rise of digital banking, the expansion of big data, growing demand for real-time decision-making, and the emergence of fintech companies.

The data analytics in financial market size is expected to see rapid growth in the next few years. It will grow to $28.17 billion in 2029 at a compound annual growth rate (CAGR) of 15.1%. In the forecast period, growth is expected to be driven by the expansion of cloud-based analytics, rising demand for personalized financial services, increased adoption of blockchain technology, a surge in mobile banking usage, heightened need for advanced fraud detection, and a stronger focus on customer experience. Key trends anticipated include advancements in quantum-safe cryptography, development of explainable AI models, innovations in federated learning systems, adoption of synthetic data generation, and the use of emotion AI for customer analytics.

The rising number of fraud cases in the finance sector is expected to drive growth in the data analytics market for financial services in the coming years. Financial fraud involves deceptive activities such as unauthorized access to funds, data manipulation, or falsification of transactions within banking, investment, or insurance systems. These fraudulent acts can occur through both digital and traditional methods, undermining institutional integrity and eroding consumer trust. The increase in fraud is largely due to the rapid digitization of banking services without equivalent enhancements in security, creating vulnerabilities that sophisticated cybercriminals exploit. Data analytics in finance combats fraud by using advanced algorithms to identify suspicious patterns and anomalies in real time. These tools enable quicker detection of fraudulent activities, reducing financial losses and strengthening security measures. Additionally, they improve compliance and support better decision-making, thereby reinforcing trust in financial institutions. For example, in March 2025, the US Federal Trade Commission (FTC) reported that 38% of fraud cases involved financial loss in 2024, up from 27% in 2023. Consequently, the increasing incidence of fraud is fueling the expansion of data analytics in the financial sector.

Leading companies in the financial data analytics market are developing innovative solutions such as AI-powered predictive analytics platforms to improve real-time decision-making, risk management, and fraud detection. These platforms combine machine learning algorithms, integration of alternative data sources, and cloud-based processing to analyze vast financial datasets for forecasting market trends, detecting irregularities, and optimizing investment strategies with high accuracy. For instance, in July 2025, Anthropic PBC, a US-based AI research company, launched Claude for Financial Services-an enterprise-grade language model featuring constitutional AI safeguards designed to prevent harmful outputs while delivering precise financial analysis. This product addresses critical compliance challenges within banking and investment sectors and reduces the risk of AI hallucinations by 80% compared to traditional large language models (LLMs).

In May 2024, S&P Global Inc., a US-based financial information and analytics provider, acquired Visible Alpha LLC for an undisclosed sum. This acquisition is intended to enhance S&P Global's investment research capabilities by integrating Visible Alpha's detailed consensus data and analytics tools into its platforms, thereby increasing value for institutional investors. Visible Alpha LLC is a US-based company specializing in financial data analytics and investment research tools.

Major players in the data analytics in financial market are International Business Machines Corporation, The Bank of New York Mellon Corporation, S&P Global Inc., London Stock Exchange Group plc, Intercontinental Exchange Inc., Nasdaq Inc., LexisNexis Risk Solutions Inc., Dun & Bradstreet Holdings Inc., Morningstar Inc., FactSet Research Systems Inc., EXL Service Holdings Inc., Moody's Investors Service Inc., Bloomberg Finance L.P., QlikTech International AB, Clearwater Analytics Holdings Inc., Sisense Ltd., Board International SA, Macrobond Financial AB, AlphaSense Inc., and QuantConnect LLC.

North America was the largest region in the data analytics in financial market in 2024. Aisa-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in data analytics in financial report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

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

The data analytics in financial market consist of revenues earned by entities by providing services such as portfolio optimization,sentiment analysis, trade surveillance, financial forecasting, and liquidity analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. Data analytics in financial market also includes sales of data visualization tools, alternative data feeds, predictive analytics models, risk scoring systems, and real-time analytics dashboards. 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.

Data Analytics In Financial 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 data analytics in financial 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 data analytics in financial ? 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 data analytics in financial 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. Data Analytics In Financial Market Characteristics

3. Data Analytics In Financial Market Trends And Strategies

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

5. Global Data Analytics In Financial Growth Analysis And Strategic Analysis Framework

6. Data Analytics In Financial Market Segmentation

7. Data Analytics In Financial Market Regional And Country Analysis

8. Asia-Pacific Data Analytics In Financial Market

9. China Data Analytics In Financial Market

10. India Data Analytics In Financial Market

11. Japan Data Analytics In Financial Market

12. Australia Data Analytics In Financial Market

13. Indonesia Data Analytics In Financial Market

14. South Korea Data Analytics In Financial Market

15. Western Europe Data Analytics In Financial Market

16. UK Data Analytics In Financial Market

17. Germany Data Analytics In Financial Market

18. France Data Analytics In Financial Market

19. Italy Data Analytics In Financial Market

20. Spain Data Analytics In Financial Market

21. Eastern Europe Data Analytics In Financial Market

22. Russia Data Analytics In Financial Market

23. North America Data Analytics In Financial Market

24. USA Data Analytics In Financial Market

25. Canada Data Analytics In Financial Market

26. South America Data Analytics In Financial Market

27. Brazil Data Analytics In Financial Market

28. Middle East Data Analytics In Financial Market

29. Africa Data Analytics In Financial Market

30. Data Analytics In Financial Market Competitive Landscape And Company Profiles

31. Data Analytics In Financial Market Other Major And Innovative Companies

32. Global Data Analytics In Financial Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Data Analytics In Financial Market

34. Recent Developments In The Data Analytics In Financial Market

35. Data Analytics In Financial Market High Potential Countries, Segments and Strategies

36. Appendix

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