2025年金融服務領域邊緣人工智慧（AI）全球市場報告

預計未來幾年，金融服務領域的邊緣人工智慧 (AI) 市場規模將呈指數級成長。到 2029 年，該市場規模將成長至 500.2 億美元，複合年成長率為 30.9%。預測期內的成長主要歸因於人工智慧與區塊鏈的融合程度不斷提高、個人化金融服務需求日益成長、即時交易處理需求日益成長、5G 技術為邊緣運算提供支持，以及人工智慧在預測分析中的應用日益廣泛。預計在此期間的主要趨勢包括：先進的人工智慧驅動型網路安全解決方案的開發、基於邊緣運算的詐欺檢測技術的發展、即時信用評分模型的建構、金融諮詢服務自動化程度的提高，以及銀行分散式人工智慧的開發。

預計日益增加的網路安全威脅將在不久的將來推動金融服務市場邊緣人工智慧 (AI) 的成長。網路安全威脅是指旨在存取、損壞、破壞或竊盜敏感資料和 IT 系統的潛在惡意活動。此類威脅主要是由於雲端運算和遠端工作的廣泛使用導致攻擊脆弱性增加。金融服務中的邊緣 AI 透過在資料來源實現即時威脅偵測和即時回應來提高網路安全性。例如，根據澳洲產物保險和再保險公司 QBE Insurance Group Limited 的數據，金融業資料外洩的平均成本從 2023 年的 590 萬美元上升到 2024 年的 608 萬美元。因此，網路安全威脅發生頻率的增加正在推動金融服務市場邊緣人工智慧 (AI) 的成長。

金融服務市場邊緣人工智慧 (AI) 的主要參與者正專注於開發大型語言模型 (LLM) 等創新解決方案，以增強即時決策、改善客戶服務和最佳化財務業務。 LLM 是先進的 AI 系統，可基於大型資料集處理和產生類似人類的文字。在金融服務領域，LLM 透過聊天機器人實現客戶服務自動化，透過模式識別增強詐欺檢測，並透過快速處理大量數據以識別新興趨勢和潛在風險來改善財務分析。例如，日本諮詢和 IT 解決方案公司野村綜合研究所有限公司於 2024 年 9 月宣布推出 NRI 金融 AI 平台，這是一項尖端解決方案，旨在滿足金融機構先進的資料隱私和安全要求，同時確保資料主權。該平台為部署 AI 工具提供了安全且適應性強的環境，重點是在法律規範內保護敏感資訊。該平台旨在幫助金融機構推動創新並釋放新的商機。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場 - 宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

• 全球金融服務中的邊緣人工智慧（AI）PESTEL分析（政治、社會、科技、環境、法律因素、促進因素和限制因素）
• 最終用途產業分析
• 全球金融服務市場的邊緣人工智慧（AI）：成長率分析
• 全球金融服務邊緣人工智慧 (AI) 市場表現：規模與成長，2019-2024 年
• 全球金融服務邊緣人工智慧 (AI) 市場預測：規模與成長，2024-2029 年，2034 年
• 全球金融服務領域邊緣人工智慧 (AI) 總潛在市場 (TAM)

第6章市場區隔

• 全球金融服務邊緣人工智慧 (AI) 市場（按組件、效能和預測），2019-2024 年、2024-2029 年、2034 年
• 解決方案
• 服務
• 全球金融服務邊緣人工智慧 (AI) 市場部署、表現及預測（2019-2024 年、2024-2029 年及 2034 年）
• 本地
• 雲端基礎
• 全球金融服務領域邊緣人工智慧 (AI) 市場（按技術、績效及預測），2019-2024 年、2024-2029 年及 2034 年
• 應用程式介面（API）
• 區塊鏈
• 機器學習
• 自然語言處理
• 其他技術
• 全球金融服務邊緣人工智慧 (AI) 市場的應用、表現及預測（2019-2024 年、2024-2029 年及 2034 年）
• 反洗錢（AML）和詐欺偵測
• 數位貨幣和加密貨幣市場
• 個人化的金融諮詢和產品服務
• 機密計算和聯邦學習
• 信用風險評估、資格審查和了解客戶 (KYC) 流程
• 流動性和風險管理
• 資本市場交易、高頻交易（HFT）
• 其他用途
• 全球金融服務邊緣人工智慧 (AI) 市場（按最終用戶、績效及預測），2019-2024 年、2024-2029 年、2034 年
• 零售銀行
• 公司銀行業務
• 保險公司
• 投資公司
• 避險基金
• 金融科技公司
• 全球金融服務邊緣人工智慧 (AI) 市場按解決方案類型、效能和預測細分，2019-2024 年、2024-2029 年、2034 年
• 基於人工智慧的風險管理解決方案
• 使用人工智慧的詐欺檢測和預防解決方案
• 改善客戶體驗的人工智慧解決方案
• 基於人工智慧的預測分析解決方案
• 基於人工智慧的決策支援系統
• 全球金融服務領域邊緣人工智慧 (AI) 市場，依服務類型細分，績效及預測，2019-2024 年、2024-2029 年、2034 年
• 諮詢服務
• 實施和整合服務
• 支援和維護服務
• 託管服務

第7章 區域和國家分析

• 全球金融服務領域邊緣人工智慧 (AI) 市場（按地區、表現及預測）2019-2024 年、2024-2029 年及 2034 年
• 全球金融服務邊緣人工智慧 (AI) 市場（按國家/地區分類）、表現及預測（2019-2024 年、2024-2029 年及 2034 年）

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章競爭格局與公司概況

• 金融服務領域的邊緣人工智慧（AI）：競爭格局
• 金融服務市場中的邊緣人工智慧（AI）：公司簡介
  • Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Amazon Web Services（AWS）Overview, Products and Services, Strategy and Financial Analysis
  • Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型創新企業

• 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

第 32 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

• 2029年金融服務市場中的邊緣人工智慧（AI）：提供新機會的國家
• 2029年金融服務市場中的邊緣人工智慧（AI）：細分領域帶來新機會
• 2029年金融服務市場中的邊緣人工智慧（AI）：成長策略
  • 基於市場趨勢的策略
  • 競爭對手的策略

第36章 附錄

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.

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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 market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

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.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Component: Solution; Service
• 2) By Deployment: On-Premises; Cloud-Based
• 3) By Technology: Application Programming Interface (API); Blockchain; Machine Learning; Natural Language Processing; Other Technologies
• 4) By Application: Anti-Money Laundering (AML) And Fraud Detection; Digital Currencies And Crypto Markets; Personalized Financial Advice And Financial Product Offerings; Confidential Computing And Federated Learning; Credit Risk Assessment, Qualification, And Know Your Customer (KYC) Processes; Liquidity And Risk Management; Capital Markets Trading, High-Frequency Trading (HFT); Other Applications
• 5) By End-user: Retail Banking; Corporate Banking; Insurance Companies; Investment Firms; Hedge Funds; FinTech Companies
• Subsegments:
• 1) By Solution: Artificial Intelligence-Based Risk Management Solutions; Fraud Detection And Prevention Solutions Using Artificial Intelligence; Customer Experience Enhancement Solutions Through Artificial Intelligence; Artificial Intelligence-Based Predictive Analytics Solutions; Artificial Intelligence-Based Decision Support Systems
• 2) By Service: Consulting Services; Deployment And Integration Services; Support And Maintenance Services; Managed Services
• Companies Mentioned: Samsung Electronics Co. Ltd.; Microsoft Corporation; Amazon Web Services (AWS); Dell Technologies Inc.; Intel Corporation
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery Format: PDF, Word and Excel Data Dashboard.

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

• 5.1. Global Edge Artificial Intelligence (AI) In Financial Services PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 5.2. Analysis Of End Use Industries
• 5.3. Global Edge Artificial Intelligence (AI) In Financial Services Market Growth Rate Analysis
• 5.4. Global Edge Artificial Intelligence (AI) In Financial Services Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
• 5.5. Global Edge Artificial Intelligence (AI) In Financial Services Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
• 5.6. Global Edge Artificial Intelligence (AI) In Financial Services Total Addressable Market (TAM)

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

• 6.1. Global Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Solution
• Service
• 6.2. Global Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• On-Premises
• Cloud-Based
• 6.3. Global Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Application Programming Interface (API)
• Blockchain
• Machine Learning
• Natural Language Processing
• Other Technologies
• 6.4. Global Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Anti-Money Laundering (AML) And Fraud Detection
• Digital Currencies And Crypto Markets
• Personalized Financial Advice And Financial Product Offerings
• Confidential Computing And Federated Learning
• Credit Risk Assessment, Qualification, And Know Your Customer (KYC) Processes
• Liquidity And Risk Management
• Capital Markets Trading, High-Frequency Trading (HFT)
• Other Applications
• 6.5. Global Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By End-user, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Retail Banking
• Corporate Banking
• Insurance Companies
• Investment Firms
• Hedge Funds
• FinTech Companies
• 6.6. Global Edge Artificial Intelligence (AI) In Financial Services Market, Sub-Segmentation Of Solution, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Artificial Intelligence-Based Risk Management Solutions
• Fraud Detection And Prevention Solutions Using Artificial Intelligence
• Customer Experience Enhancement Solutions Through Artificial Intelligence
• Artificial Intelligence-Based Predictive Analytics Solutions
• Artificial Intelligence-Based Decision Support Systems
• 6.7. Global Edge Artificial Intelligence (AI) In Financial Services Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Consulting Services
• Deployment And Integration Services
• Support And Maintenance Services
• Managed Services

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

• 7.1. Global Edge Artificial Intelligence (AI) In Financial Services Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Edge Artificial Intelligence (AI) In Financial Services Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 8.1. Asia-Pacific Edge Artificial Intelligence (AI) In Financial Services Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 8.2. Asia-Pacific Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 9.1. China Edge Artificial Intelligence (AI) In Financial Services Market Overview
• 9.2. China Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

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

• 10.1. India Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 11.1. Japan Edge Artificial Intelligence (AI) In Financial Services Market Overview
• 11.2. Japan Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 12.1. Australia Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 13.1. Indonesia Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 14.1. South Korea Edge Artificial Intelligence (AI) In Financial Services Market Overview
• 14.2. South Korea Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 15.1. Western Europe Edge Artificial Intelligence (AI) In Financial Services Market Overview
• 15.2. Western Europe Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 16.1. UK Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 17.1. Germany Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 18.1. France Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 19.1. Italy Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 20.1. Spain Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 21.1. Eastern Europe Edge Artificial Intelligence (AI) In Financial Services Market Overview
• 21.2. Eastern Europe Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 22.1. Russia Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 23.1. North America Edge Artificial Intelligence (AI) In Financial Services Market Overview
• 23.2. North America Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 24.1. USA Edge Artificial Intelligence (AI) In Financial Services Market Overview
• 24.2. USA Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 25.1. Canada Edge Artificial Intelligence (AI) In Financial Services Market Overview
• 25.2. Canada Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 26.1. South America Edge Artificial Intelligence (AI) In Financial Services Market Overview
• 26.2. South America Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 27.1. Brazil Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 28.1. Middle East Edge Artificial Intelligence (AI) In Financial Services Market Overview
• 28.2. Middle East Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 29.1. Africa Edge Artificial Intelligence (AI) In Financial Services Market Overview
• 29.2. Africa Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Edge Artificial Intelligence (AI) In Financial Services Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 30.1. Edge Artificial Intelligence (AI) In Financial Services Market Competitive Landscape
• 30.2. Edge Artificial Intelligence (AI) In Financial Services Market Company Profiles
  • 30.2.1. Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Amazon Web Services (AWS) Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis

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

• 31.1. IBM Corporation
• 31.2. Cisco Systems Inc.
• 31.3. Ernst & Young Global Limited (EY)
• 31.4. Oracle Corporation
• 31.5. Qualcomm Incorporated
• 31.6. SAP SE
• 31.7. Hewlett Packard Enterprise (HPE)
• 31.8. Fujitsu Limited
• 31.9. NVIDIA Corporation
• 31.10. NEC Corporation
• 31.11. Advanced Micro Devices Inc. (AMD)
• 31.12. NatWest Group plc
• 31.13. Nomura Research Institute Ltd.
• 31.14. ThetaRay Ltd.
• 31.15. Iceotope Technologies Limited

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

• 35.1 Edge Artificial Intelligence (AI) In Financial Services Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Edge Artificial Intelligence (AI) In Financial Services Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Edge Artificial Intelligence (AI) In Financial Services Market In 2029 - Growth Strategies
  • 35.3.1 Market Trend Based Strategies
  • 35.3.2 Competitor Strategies

36. Appendix

• 36.1. Abbreviations
• 36.2. Currencies
• 36.3. Historic And Forecast Inflation Rates
• 36.4. Research Inquiries
• 36.5. The Business Research Company
• 36.6. Copyright And Disclaimer
• 250617_r34835_Edge_Artificial_Intelligence_AI_In_Financial_Services_GMR_2025