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Edge Artificial Intelligence (AI) In Financial Services Global Market Report 2025
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Edge artificial intelligence (AI) in financial services refers to the integration of AI technologies at the edge of a financial institution's network, where data is processed locally on devices or servers close to the data source. This approach enables real-time decision-making, faster data processing, and enhanced privacy by reducing the need to transmit sensitive financial data over long distances. In the financial services sector, edge AI is applied in areas such as fraud detection, automated trading, personalized banking experiences, and risk management, allowing institutions to deliver more responsive, efficient services while ensuring data security and compliance.

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 main components of edge artificial intelligence (AI) in financial services are solutions and services. Edge AI solutions in financial services combine hardware and software to process data locally on devices, enabling real-time analytics, reduced latency, and improved data privacy. Deployment options include both on-premises and cloud-based models. Key technologies used in edge AI include application programming interfaces (APIs), blockchain, machine learning, natural language processing, and other innovations. These solutions are applied in various areas, such as anti-money laundering (AML) and fraud detection, digital currencies and crypto markets, personalized financial advice, confidential computing and federated learning, credit risk assessment, know your customer (KYC) processes, liquidity and risk management, and capital markets trading, including high-frequency trading (HFT). These solutions are utilized by various end-users, including retail banking, corporate banking, insurance companies, investment firms, hedge funds, and fintech companies.

The edge artificial intelligence (AI) in financial services market research report is one of a series of new reports from The Business Research Company that provides edge artificial intelligence (AI) in financial services market statistics, including the edge artificial intelligence (AI) in financial services industry global market size, regional shares, competitors with the edge artificial intelligence (AI) in financial services market share, detailed edge artificial intelligence (AI) in financial services market segments, market trends, and opportunities, and any further data you may need to thrive in the edge artificial intelligence (AI) in financial services industry. This edge artificial intelligence (AI) in financial services 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 edge artificial intelligence (AI) in financial services market size has grown exponentially in recent years. It will grow from$12.97 billion in 2024 to $17.03 billion in 2025 at a compound annual growth rate (CAGR) of 31.3%. The growth observed in the historic period can be attributed to the increasing demand for real-time fraud detection, the rising adoption of AI-driven risk management, the growing regulatory compliance requirements, the adoption of edge computing for faster transactions, and the increasing use of AI-powered chatbots.

The edge artificial intelligence (AI) in financial services market size is expected to see exponential growth in the next few years. It will grow to$50.02 billion in 2029 at a compound annual growth rate (CAGR) of 30.9%. The growth projected for the forecast period can be attributed to the increasing integration of AI with blockchain, the rising demand for personalized financial services, the growing need for real-time transaction processing, the adoption of 5G for enhanced edge computing, and the expanding use of AI for predictive analytics. Key trends expected during this period include the development of advanced AI-driven cybersecurity solutions, advancements in edge-based fraud detection, the creation of real-time credit scoring models, enhanced automation in financial advisory services, and the development of decentralized AI for banking.

The increasing rise in cybersecurity threats is expected to accelerate the growth of the edge artificial intelligence (AI) in financial services market in the near future. Cybersecurity threats refer to potential malicious activities intended to access, damage, disrupt, or steal sensitive data or IT systems. These threats are primarily driven by the widespread adoption of cloud computing and remote work, which increase the vulnerability to attacks. Edge AI in financial services improves cybersecurity by enabling real-time threat detection and immediate response at the data source, thus reducing latency and limiting exposure to potential breaches. For example, according to QBE Insurance Group Limited, an Australia-based general insurance and reinsurance company, the average cost of a data breach in the financial sector rose to $6.08 million in 2024, compared to $5.90 million in 2023. Therefore, the growing frequency of cybersecurity threats is fueling the growth of the edge artificial intelligence (AI) in financial services market.

Key players in the edge artificial intelligence (AI) in financial services market are focused on developing innovative solutions, such as large language models (LLMs), to enhance real-time decision-making, improve customer service, and optimize financial operations. LLMs are advanced AI systems capable of processing and generating human-like text based on large datasets. In the financial services sector, LLMs automate customer service via chatbots, enhance fraud detection through pattern recognition, and improve financial analysis by processing vast amounts of data quickly to identify emerging trends or potential risks. For instance, in September 2024, Nomura Research Institute, Ltd., a Japan-based consulting and IT solutions company, launched the NRI Financial AI Platform, a state-of-the-art solution designed to meet financial institutions' high data privacy and security requirements while ensuring data sovereignty. This platform emphasizes the protection of sensitive information within regulatory frameworks, offering a secure and adaptable environment for deploying AI tools. It is tailored to help financial firms foster innovation and unlock new revenue opportunities.

In April 2024, Aurionpro Solutions Limited, an India-based software company, acquired Arya.ai for approximately $16.5 million. Through this acquisition, Aurionpro Solutions intends to enhance its enterprise AI platforms by integrating Arya.ai's advanced AI technologies and domain expertise, accelerating the adoption of responsible, auditable, and industry-specific AI solutions for financial institutions worldwide. Arya.ai, an India-based software company, specializes in providing edge AI solutions for the financial services sector.

Major players in the edge artificial intelligence (ai) in financial services market are Samsung Electronics Co. Ltd., Microsoft Corporation, Amazon Web Services (AWS), Dell Technologies Inc., Intel Corporation, IBM Corporation, Cisco Systems Inc., Ernst & Young Global Limited (EY), Oracle Corporation, Qualcomm Incorporated, SAP SE, Hewlett Packard Enterprise (HPE), Fujitsu Limited, NVIDIA Corporation, NEC Corporation, Advanced Micro Devices Inc. (AMD), NatWest Group plc, Nomura Research Institute Ltd., ThetaRay Ltd., Iceotope Technologies Limited.

North America was the largest region in the edge artificial intelligence (AI) in financial services market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in edge artificial intelligence (AI) in financial services report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the edge artificial intelligence (AI) in financial services market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The edge artificial intelligence (AI) in financial services market consists of revenues earned by entities by providing services such as fraud detection edge AI, risk assessment edge AI, automated trading edge AI, and customer service edge AI. The market value includes the value of related goods sold by the service provider or included within the service offering. The edge artificial intelligence (AI) in financial services market includes sales of AI-powered ATMs, AI-based POS terminals, and mobile banking AI assistants. 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.

Edge Artificial Intelligence (AI) In Financial Services 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 edge artificial intelligence (ai) in financial services 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 edge artificial intelligence (ai) in financial services ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The edge artificial intelligence (ai) in financial services 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Edge Artificial Intelligence (AI) In Financial Services Market Characteristics

3. Edge Artificial Intelligence (AI) In Financial Services Market Trends And Strategies

4. Edge Artificial Intelligence (AI) In Financial Services 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 Edge Artificial Intelligence (AI) In Financial Services Growth Analysis And Strategic Analysis Framework

6. Edge Artificial Intelligence (AI) In Financial Services Market Segmentation

7. Edge Artificial Intelligence (AI) In Financial Services Market Regional And Country Analysis

8. Asia-Pacific Edge Artificial Intelligence (AI) In Financial Services Market

9. China Edge Artificial Intelligence (AI) In Financial Services Market

10. India Edge Artificial Intelligence (AI) In Financial Services Market

11. Japan Edge Artificial Intelligence (AI) In Financial Services Market

12. Australia Edge Artificial Intelligence (AI) In Financial Services Market

13. Indonesia Edge Artificial Intelligence (AI) In Financial Services Market

14. South Korea Edge Artificial Intelligence (AI) In Financial Services Market

15. Western Europe Edge Artificial Intelligence (AI) In Financial Services Market

16. UK Edge Artificial Intelligence (AI) In Financial Services Market

17. Germany Edge Artificial Intelligence (AI) In Financial Services Market

18. France Edge Artificial Intelligence (AI) In Financial Services Market

19. Italy Edge Artificial Intelligence (AI) In Financial Services Market

20. Spain Edge Artificial Intelligence (AI) In Financial Services Market

21. Eastern Europe Edge Artificial Intelligence (AI) In Financial Services Market

22. Russia Edge Artificial Intelligence (AI) In Financial Services Market

23. North America Edge Artificial Intelligence (AI) In Financial Services Market

24. USA Edge Artificial Intelligence (AI) In Financial Services Market

25. Canada Edge Artificial Intelligence (AI) In Financial Services Market

26. South America Edge Artificial Intelligence (AI) In Financial Services Market

27. Brazil Edge Artificial Intelligence (AI) In Financial Services Market

28. Middle East Edge Artificial Intelligence (AI) In Financial Services Market

29. Africa Edge Artificial Intelligence (AI) In Financial Services Market

30. Edge Artificial Intelligence (AI) In Financial Services Market Competitive Landscape And Company Profiles

31. Edge Artificial Intelligence (AI) In Financial Services Market Other Major And Innovative Companies

32. Global Edge Artificial Intelligence (AI) In Financial Services Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Edge Artificial Intelligence (AI) In Financial Services Market

34. Recent Developments In The Edge Artificial Intelligence (AI) In Financial Services Market

35. Edge Artificial Intelligence (AI) In Financial Services Market High Potential Countries, Segments and Strategies

36. Appendix

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