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市场调查报告书
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1832083

2025 年至 2033 年金融科技人工智慧市场规模、份额、趋势及预测（按类型、部署模式、应用和地区）

AI in Fintech Market Size, Share, Trends and Forecast by Type, Deployment Model, Application, and Region, 2025-2033
出版日期: | 出版商: IMARC | 英文 135 Pages | 商品交期: 2-3个工作天内

价格

2024 年，全球金融科技人工智慧市场规模为 176.4 亿美元。展望未来， IMARC Group估计，到 2033 年，市场规模将达到 977 亿美元，2025-2033 年期间的复合年增长率为 19.90%。北美目前占据市场主导地位，2024 年的市占率将超过 36.8%。科技的快速进步、法规遵循需求的不断增长、个人化服务需求的不断增长、金融科技广泛采用人工智慧来降低金融风险、网路诈骗发生率的不断上升以及金融科技越来越多地利用人工智慧来实现财务流程自动化，这些都是推动金融科技人工智慧市场成长的主要因素。

全球金融科技市场对人工智慧的需求不断增长，这驱动着人们对自动化、增强客户体验和价格合理的金融服务的需求。巨量资料分析和云端运算为诈欺侦测、风险管理和个人化银行解决方案等高阶人工智慧应用铺平了道路。监管机构对数位化变革的支持，以及人工智慧聊天机器人和机器人顾问的日益普及，也在推动该市场的成长方面发挥关键作用。此外，对即时决策和金融交易安全性提升的需求，也进一步扩大了人工智慧在金融科技市场的份额。金融科技新创公司和传统银行都在投资人工智慧以保持竞争力，而智慧型手机普及率的提高和数位支付趋势的上升也为人工智慧驱动的解决方案创造了新的机会。 2025年1月6日，Accel推出了第八支基金，规模达6.5亿美元，用于投资印度和东南亚地区。该基金主要关注人工智慧、金融科技和製造业领域的早期公司。 Accel 尤其专注于支援以人工智慧为基础的金融科技创新，例如数位财富管理、金融科技基础设施和数位分销解决方案。凭藉近 30 亿美元的总投资承诺，Accel 已做好准备，在蓬勃发展的 8 兆美元经济体中引领下一代人工智慧驱动的金融创新。

美国作为关键区域市场脱颖而出，主要原因是市场对数据驱动型金融解决方案的需求不断增长，这些解决方案旨在提高效率并降低营运成本。数位银行和行动支付平台的激增正在加速人工智慧在诈欺预防、信用评分和演算法交易方面的应用。一项2024年的全国性调查显示，55%的美国银行客户更喜欢使用行动应用程式而非其他银行管道，其中Z世代（64%）和千禧世代（68%）在数位化应用程式方面处于领先地位。高达96%的受访者对其银行的数位体验评价为「良好」或更高，显示出极高的消费者信心。随着人工智慧重新定义金融科技领域，所有这些趋势都凸显了美国市场对客製化和智慧银行体验日益增长的前景。人工智慧在大型科技公司和金融机构中获得了显着发展，这主要归功于其在提高合规性和自动化后台功能方面的能力。此外，日益复杂的金融法规要求实施基于人工智慧的解决方案进行即时监控和报告。此外，金融科技领域的竞争激烈，以及消费者对即时、智慧服务的需求，推动了人工智慧在贷款、财富管理和保险领域的广泛应用。

金融科技市场趋势中的人工智慧：

快速的技术进步

人工智慧与金融科技的融合深受持续技术进步的影响。同时，机器学习 (ML) 演算法的整合有助于改善巨量资料分析并拓展其在金融领域的潜在应用，从而促进市场成长。此外，这些创新能够高速且准确地处理和解读大量资料，提供即时洞察和自动化功能。此外，量子运算和云端技术的发展进一步增强了复杂金融建模所需的运算能力，推动了金融科技领域人工智慧市场的成长。根据 Quantum Gov 报导，美国能源部新投资 6,500 万美元用于量子运算项目，这反映了这些新兴技术在塑造众多产业（尤其是金融科技）方面日益增长的重要性。此外，金融科技公司正在利用这些技术创建客製化银行解决方案、自动化交易功能并以惊人的精度改进风险管理。此外，这些技术正在提高营运效率，并为新产品和服务的创造打开大门。

监理合规需求不断成长

金融业在一系列复杂的法规下运作，这些法规因司法管辖区而异。遵守这些法规不仅是强制性的，而且对于维护消费者信任和金融系统的整体完整性也至关重要。与此相符的是，金融科技中的人工智慧在确保法规遵循以及自动监控和分析数百万笔交易以检测异常或不遵守相关法律方面发挥着至关重要的作用。据IMARC Group称，利用人工智慧实现监管合规的全球监管科技市场在 2024 年的价值为 158 亿美元，预计到 2033 年将成长到 708 亿美元，2025 年至 2033 年的复合年增长率为 18%。除此之外，结合自然语言处理 (NLP) 来解释不断变化的监管文本，确保金融机构始终了解最新要求，这对金融科技市场对人工智慧的需求产生了积极影响。此外，合规流程的自动化减少了人为错误的可能性，并使得对监管变化的反应更快、适应性更强。

个人化服务需求日益增长

消费者对金融等所有服务领域个人化服务的期望日益增长，这为市场提供了巨大的推动力。满足这项需求需要人工智慧（AI）。人工智慧可以分析大量客户资料，并确定每位客户的偏好、消费习惯和财务需求。此外，人工智慧也用于为每位客户设计合适的金融产品、优惠和建议。人工智慧使金融机构能够提供个人化的投资策略或个人化的贷款方案，并提供不同程度的客製化服务。 2024年，全球利用人工智慧提供客户服务的市场规模将达到69.5亿美元，2025年至2033年的复合年增长率为20.4%，预计到2033年将达到444.9亿美元。这表明，基于人工智慧的金融科技解决方案正在改变金融科技格局，为市场提供客製化的金融服务，并维持大规模的合规基准。此外，人工智慧的广泛应用有助于提升客户忠诚度、增加参与度并提升整体满意度。因此，这进一步为金融科技市场中的人工智慧应用前景创造了积极的前景。

目录

第一章：前言

第二章：范围与方法

  • 研究目标
  • 利害关係人
  • 资料来源
    • 主要来源
    • 二手资料
  • 市场评估
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第三章：执行摘要

第四章：简介

第五章：金融科技市场中的全球人工智慧

  • 市场概况
  • 市场表现
  • COVID-19的影响
  • 市场预测

第六章：市场细分：依类型

  • 解决方案
  • 服务

第七章：市场区隔：依部署模型

  • 基于云端
  • 本地

第 8 章：市场区隔：按应用

  • 虚拟助理（聊天机器人）
  • 信用评分
  • 量化与资产管理
  • 诈欺侦测
  • 其他的

第九章：市场细分：依地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲

第 10 章：SWOT 分析

第 11 章：价值链分析

第 12 章：波特五力分析

第十三章：价格分析

第 14 章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Amazon Web Services Inc. (Amazon.com Inc)
    • Google LLC (Alphabet Inc.)
    • Inbenta Technologies Inc.
    • Intel Corporation
    • International Business Machines Corporation
    • Microsoft Corporation
    • Salesforce.com Inc.
    • Samsung Electronics Co. Ltd.
    • TIBCO Software Inc.
    • Trifacta
    • Verint Systems Inc.
Product Code: SR112025A4483

The global AI in fintech market size was valued at USD 17.64 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 97.70 Billion by 2033, exhibiting a CAGR of 19.90% during 2025-2033. North America currently dominates the market, holding a significant market share of over 36.8% in 2024. The rapid technological advancements, rising demand for regulatory compliance, growing demand for personalized services, widespread adoption of AI in fintech to mitigate financial risks, increasing incidence of cyber fraud, and rising utilization of AI in fintech to automate financial processes are some of the major factors propelling the AI in fintech market growth.

The global artificial intelligence in the financial technology market is driven by an expanding requirement for automation, enhanced customer experiences, and affordable financial services. Big data analytics and cloud computing pave the way for advanced AI applications such as fraud detection, risk management, and personalized banking solutions. Regulatory support for digital change, as well as the rising adoption of AI-powered chatbots and robo-advisors, also play critical roles in driving the growth of this market. Additionally, the need for real-time decision-making and improved security in financial transactions are further expanding the AI in fintech market share. Fintech startups and traditional banks alike are investing in AI to stay competitive, while rising smartphone penetration and digital payment trends create new opportunities for AI-driven solutions. On 6th January'2025, Accel launched its eighth fund, which is worth USD 650 Million, for investments in India and Southeast Asia. The fund focuses heavily on early-stage companies in the areas of artificial intelligence, financial technology, and manufacturing. It is particularly interested in supporting innovations in AI-based fintech, such as digital wealth management, fintech infrastructure, and digital distribution solutions. With overall commitments nearing USD 3 Billion, Accel is well-positioned to lead the next generation of AI-driven financial innovation in an up-and-coming USD 8 Trillion economy.

The United States stands out as a key regional market, primarily driven by rising demand for data-driven financial solutions that enhance efficiency and reduce operational costs. The proliferation of digital banking and mobile payment platforms is accelerating AI adoption for fraud prevention, credit scoring, and algorithmic trading. A 2024 nationwide survey shows that 55% of United States bank customers prefer mobile apps to other channels of banking, with Generation Z (64%) and Millennials (68%) leading the way in digital adoption. A significant 96% of the sample assess their bank's digital experience as "good" or better, showing a very high level of consumer confidence. As artificial intelligence redefines the financial technology space, all these trends highlight the growing prospects for customized and smart banking experiences across the U.S. market. Artificial intelligence gained considerable momentum with large technology companies and financial institutions, mainly because of its power to improve compliance and automate back-office functions. Furthermore, the growing complexity of financial regulations demands the implementation of AI-based solutions for real-time monitoring and reporting. Additionally, the competitive market in the fintech sector, along with consumers' need for instant and intelligent services, drives the widespread use of AI across lending, wealth management, and insurance sectors.

AI in Fintech Market Trends:

The rapid technological advancements

The integration of AI in fintech is heavily influenced by ongoing technological advancements. In line with this, the integration of machine learning (ML) algorithms to refine big data analytics and expand its potential applications within the financial sector is enhancing the market growth. Furthermore, these innovations enable the accurate processing and interpretation of vast amounts of data at high speeds, providing real-time insights and automation capabilities. Moreover, the development of quantum computing and cloud technologies, which further enhance the computational power necessary for complex financial modeling, is fueling the AI in fintech market growth. As per Quantum Gov, the new investment of USD 65 million by the U.S. Department of Energy for quantum computing initiatives reflects the mounting relevance of these emerging technologies in shaping numerous industries, more notably fintech. In addition, fintech companies are leveraging these technologies to create custom banking solutions, automate trading functions, and improve risk management with stunning precision. Moreover, these technologies are improving operational efficiency and also opening doors to the creation of new products and services.

The rising demand for regulatory compliance

The financial industry operates under a complex set of regulations that vary across jurisdictions. Compliance with these regulations is not just mandatory but also critical to maintaining consumer trust and the overall integrity of the financial system. In line with this, AI in fintech plays a vital role in ensuring regulatory compliance and automatically monitoring and analyzing millions of transactions to detect anomalies or non-compliance with relevant laws. According to IMARC Group, the global RegTech market, which leverages AI for regulatory compliance, was valued at USD 15.8 Billion in 2024 and is projected to grow to USD 70.8 Billion by 2033, exhibiting a CAGR of 18% from 2025 to 2033. Along with this, the integration of natural language processing (NLP) to interpret the ever-changing regulatory texts, ensuring that financial institutions are always up-to-date with the latest requirements, is positively influencing the AI in fintech market demand. Additionally, the automation of compliance processes reduces the potential for human error and enables a more responsive and adaptable approach to regulatory changes.

The growing demand for personalized services

Rising consumer expectation for personalization across all service sectors, such as finance, provides great market impetus. Meeting this demand requires AI, which analyses lots of customer data and determines the preferences, spending habits, and financial needs of each customer. Furthermore, it is used to design appropriate financial products, offers, and advice for each customer. AI allows financial institutions to offer a personalized investment strategy or personalized offers on loans at levels of customization. The global market for the use of AI for providing the help of customer service, comes to USD 6.95 Billion in 2024, has a CAGR of 20.4% from 2025 to 2033, and reaches USD 44.49 Billion in 2033. This highlights that AI-based fintech solutions are transforming the fintech landscape by furnishing a marketplace with tailored financial services and maintaining a benchmark of regulatory compliance at scale. Apart from this, the widespread utilization of AI is aiding in enhancing customer loyalty, increasing engagement, and improving overall satisfaction. Therefore, this is further creating a positive AI in fintech market outlook.

AI in Fintech Industry Segmentation:

Analysis by Type:

  • Solutions
  • Services

Solutions stand as the largest component in 2024, holding around 66.6% of the market. The demand for AI solutions is increasing in the market as they are designed to resolve different issues in the financial sector, including fraud detection, risk control, and customer service improvement, among others. These solutions provide customer-specific services that affect customer engagement and customer satisfaction. In addition, they help in understanding customer behavior as well as anticipating the customers' needs, which in turn helps in designing customized items and services. In addition, AI solutions are programmed to be seamlessly integrated into the existing financial systems so that organizations can implement AI with the least disruption, thereby minimizing resistance and gaining acceptance. Furthermore, these solutions can grow to accommodate businesses' need and the changes made in the market without requiring companies to add significant costs to technology. In addition, AI solutions help with cost efficiency through routine task automation and streamlining operational processes.

Analysis by Deployment Model:

  • Cloud-based
  • On-premises

Cloud-based leads the market with around 75.7% of market share in 2024. They are cloud-based models that offer a cost-efficient alternative with minimized reliance on the physical infrastructure, leading to the switch of the management to operational expenditure. They also enable financial institutions to scale the AI apps in accordance with demand fluctuations effortlessly. These cloud-based AI solutions, in addition, provide an opportunity at any location to have access to the internet for any employee to work easily and collaborate in time with an employee at any place around the world. They support swift implementation and iteration, thereby giving financial institutions an edge in a fast-paced industry. In addition, many cloud providers enforce strong security methods and can match compliance requirements. Additionally, cloud AI solutions guarantee a more seamless integration of existing systems and cloud services, thus granting businesses from the field of finances the opportunity to work within one unified ecosystem of technologies without having to deal with a lot of customization or compatibility issues.

Analysis by Application:

  • Virtual Assistant (Chatbots)
  • Credit Scoring
  • Quantitative and Asset Management
  • Fraud Detection
  • Others

Fraud detection leads the market with around 34.6% of market share in 2024. The global AI in the fintech market shows fraud detection as its main application sector as financial crimes are becoming complex while companies urgently need security measures. The analytic systems using AI technologies detect fraudulent transactions more accurately than conventional approaches through their combination of machine learning analytics, behavioral analytics, and anomaly detection systems. The rise of digital payments, together with e-commerce and international transactions, now requires highly advanced fraud prevention technologies. The rising implementation of AI by financial institutions alongside fintech companies helps both entities achieve minimal false negatives as well as financial loss reduction in addition to maintaining conformity with rigorous regulatory standards. The utilization of AI, together with big data and cloud computing, enables organizations to predict threats better, which enables proactive threat management. The foremost segment in the AI fintech domain now focuses on AI-driven fraud detection as cybercriminals continuously develop complex strategies.

Regional Analysis:

  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

In 2024, North America accounted for the largest market share of over 36.8%. Many technology innovation centers cater to an environment of innovation and entrepreneurship for the development of AI technology in North America. Furthermore, the region has seen the increased investments in R&D efforts from the private and public sides to trigger technological development and facilitate the commercialization of AI in fintech. Besides this, where North America's financial industry has a good foothold, the well-established financial industry has helped the market to grow. Additionally, the favorable conditions for market growth include the regional governments imposing supportive policies and regulations to allow the application of the responsible use of AI. Furthermore, the market is growing due to the availability of talented specialists with a specialized character in AI, ML, and data science without difficulty.

Key Regional Takeaways:

United States AI in Fintech Market Analysis

In 2024, the US accounted for around 88.50% of the total North America AI in fintech market. The United States is at the forefront of applying advanced artificial intelligence in the fintech sector due to the presence of a large amount of digital infrastructure, high rates of fintech adoption, and significant institutional investment. AI is being adopted in banking, asset management, insurance, and lending services that are making operations much more efficient, more tailored to the customer's needs, and better at detecting fraud. Credit risk assessment and financial forecasting are being done using AI-driven algorithms. Increasing amounts of financial data and powerful cloud infrastructure, together with a growing demand for automated advisory services and intelligent customer engagement tools, are enhancing. All the while, the market is growing steadily and advancing in accordance with the advent of machine learning, natural language processing, as well as predictive analytics developed specifically for financial use. AI is being used in fintech platforms to fine-tune trading strategies, identify anomalies in real time, as well as maintain regulatory compliance. Using AI with mobile financial services is enhancing the user experience and opening market penetration to deeper levels. Additionally, the acceleration of strategic partnerships between financial institutions and AI technology providers is being accelerated. The U.S. National Science Foundation has also said it will invest USD 140 Million to develop seven new national artificial intelligence research institutes 'to ensure AI innovation throughout the country.

Europe AI in Fintech Market Analysis

With the advent of the digitalization of financial services and the pro-innovation regulatory framework in Europe, the development of AI in the fintech market is growing. As AI powers more simple humans to waves of prosperity, financial institutions are beginning to use it to improve customer experience, automate back office operations, and make better risk assessment decisions. AI integration with the financial platform is making the personalization more advanced and real-time data analysis. The increasing remarks regarding data privacy issues are motivating firms to go for manageable and secure AI models. Incorporating AI to onboard faster, give intelligent financial advice, and prevent fraud is the new discernible for financial platforms. The European Central Bank found that 64 percent of businesses believe AI will boost their productivity, which is a very positive sign, covering a great deal of confidence in using this technology in order to drive efficiency and results. In comparison, 40 percent of business owners describe growing technology dependence as worrying. Opening up the financial services industry to AI integrations is encouraged by regulatory initiatives that enhance broader open finance. Portfolio management is also getting better with the help of AI to make the overall transaction process better and more efficient in terms of cost. With the convergence of AI with advanced analytics, organizations are able to refine their strategic decision-making further.

Asia Pacific AI in Fintech Market Analysis

As part of the AI adoption journey, the Asia Pacific region is embraced by fintech using AI to personalize services, optimize underwriting, detect fraud, as well as provide efficient digital lending, wealth management, and mobile payment solutions. Big data is spooling up the accuracy of AI-driven insights within financial services. Chatbots, virtual assistants, or even algorithmic trading systems are also deployed by financial platforms in order to improve customer engagement and operational performance. This is causing AI to be increasingly adopted as more and more contactless, app-based financial transactions are rising. A key growth indicator comes from the National Payments Corporation of India, which states that India's fintech sector is projected to expand from USD 110 Billion in 2024 to USD 420 Billion over the next five years, with a CAGR of 31%, underscoring the region's rapid digital and financial transformation. Cloud-based AI tools are enabling agile innovation and helping fintech firms scale services across diverse markets.

Latin America AI in Fintech Market Analysis

AI is helping Latin America's fintech rapidly automate processes including customer onboarding, credit scoring, and transaction monitoring, among others, by helping with operational efficiency. Fintech platforms across the globe are offering more financial products and services with the inclusion of AI into the operations. More accurate risk assessment and better service delivery on digital platforms are being enabled through real-time analytics and intelligent automation. Additionally, fraud prevention is better, and customer interactions are improved via the adoption of AI tools. Yet, with the advancement of digitization in the field of financial services, there has been a rise to automate increasingly complex business processes in a very cost-effective manner and internally to optimize Human capital to ensure future survival while externally seeking revenue advantage. The International Trade Administration reports that the launch of the National Plan for AI in 2024, including about USD 4 Billion in funding for the development of the AI infrastructure and business innovation in Brazil, shows a strong regional commitment to increasing AI capabilities.

Middle East and Africa AI in Fintech Market Analysis

The Middle East and Africa demonstrate steady growth in the AI fintech market due to digital infrastructure development alongside escalating mobile financial operations. The adoption of AI technology automates financial operations. It enhances customer interaction and provides data-based choices through its demand for chatbots together with analytics systems and transaction monitoring tools which result from digital expansion. AI integration supports platform growth by providing better adaptation to changing customer requirements, which strengthens market performance.

Competitive Landscape:

Leading companies are grappling with the issue of emerging algorithms, techniques, and technologies to propel financial services efficiency, security, and customization. To foster innovation, they are making strategic alliances with fintech startups and technology companies to develop inventive responses and to take advantage of the opportunities offered by opportunities. Further, some high-profile game publishing companies are using predictive analytics and ML models to deliver customer behavior, market trends, and risk management intelligence. Additionally, many high-end market firms are creating personalized services and products for this purpose (customized banking, investment consulting, etc.) to be delivered in the categories mentioned above. Apart from this, major firms are making efforts towards developing transparent and impartial AI models and proactively working on ethical AI practices. They are also using AI to bring financial products to the unbanked using algorithms to either determine creditworthiness to some or extend financial literacy with AI-empowered solutions.

The report provides a comprehensive analysis of the competitive landscape in the AI in fintech market with detailed profiles of all major companies, including:

  • Amazon Web Services Inc. (Amazon.com Inc)
  • Google LLC (Alphabet Inc.)
  • Inbenta Technologies Inc.
  • Intel Corporation
  • International Business Machines Corporation
  • Microsoft Corporation
  • Salesforce.com Inc.
  • Samsung Electronics Co. Ltd.
  • TIBCO Software Inc.
  • Trifacta
  • Verint Systems Inc.

Key Questions Answered in This Report

  • 1.How big is the AI in fintech market?
  • 2.What is the future outlook of the AI in fintech market?
  • 3.What are the key factors driving the AI in fintech market?
  • 4.Which region accounts for the largest AI in fintech market share?
  • 5.Which are the leading companies in the global AI in fintech market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global AI in Fintech Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Type

  • 6.1 Solutions
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Services
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Deployment Model

  • 7.1 Cloud-based
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 On-premises
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Application

  • 8.1 Virtual Assistant (Chatbots)
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Credit Scoring
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Quantitative and Asset Management
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Fraud Detection
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Others
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 United States
      • 9.1.1.1 Market Trends
      • 9.1.1.2 Market Forecast
    • 9.1.2 Canada
      • 9.1.2.1 Market Trends
      • 9.1.2.2 Market Forecast
  • 9.2 Asia-Pacific
    • 9.2.1 China
      • 9.2.1.1 Market Trends
      • 9.2.1.2 Market Forecast
    • 9.2.2 Japan
      • 9.2.2.1 Market Trends
      • 9.2.2.2 Market Forecast
    • 9.2.3 India
      • 9.2.3.1 Market Trends
      • 9.2.3.2 Market Forecast
    • 9.2.4 South Korea
      • 9.2.4.1 Market Trends
      • 9.2.4.2 Market Forecast
    • 9.2.5 Australia
      • 9.2.5.1 Market Trends
      • 9.2.5.2 Market Forecast
    • 9.2.6 Indonesia
      • 9.2.6.1 Market Trends
      • 9.2.6.2 Market Forecast
    • 9.2.7 Others
      • 9.2.7.1 Market Trends
      • 9.2.7.2 Market Forecast
  • 9.3 Europe
    • 9.3.1 Germany
      • 9.3.1.1 Market Trends
      • 9.3.1.2 Market Forecast
    • 9.3.2 France
      • 9.3.2.1 Market Trends
      • 9.3.2.2 Market Forecast
    • 9.3.3 United Kingdom
      • 9.3.3.1 Market Trends
      • 9.3.3.2 Market Forecast
    • 9.3.4 Italy
      • 9.3.4.1 Market Trends
      • 9.3.4.2 Market Forecast
    • 9.3.5 Spain
      • 9.3.5.1 Market Trends
      • 9.3.5.2 Market Forecast
    • 9.3.6 Russia
      • 9.3.6.1 Market Trends
      • 9.3.6.2 Market Forecast
    • 9.3.7 Others
      • 9.3.7.1 Market Trends
      • 9.3.7.2 Market Forecast
  • 9.4 Latin America
    • 9.4.1 Brazil
      • 9.4.1.1 Market Trends
      • 9.4.1.2 Market Forecast
    • 9.4.2 Mexico
      • 9.4.2.1 Market Trends
      • 9.4.2.2 Market Forecast
    • 9.4.3 Others
      • 9.4.3.1 Market Trends
      • 9.4.3.2 Market Forecast
  • 9.5 Middle East and Africa
    • 9.5.1 Market Trends
    • 9.5.2 Market Breakup by Country
    • 9.5.3 Market Forecast

10 SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

  • 14.1 Market Structure
  • 14.2 Key Players
  • 14.3 Profiles of Key Players
    • 14.3.1 Amazon Web Services Inc. (Amazon.com Inc)
      • 14.3.1.1 Company Overview
      • 14.3.1.2 Product Portfolio
      • 14.3.1.3 SWOT Analysis
    • 14.3.2 Google LLC (Alphabet Inc.)
      • 14.3.2.1 Company Overview
      • 14.3.2.2 Product Portfolio
    • 14.3.3 Inbenta Technologies Inc.
      • 14.3.3.1 Company Overview
      • 14.3.3.2 Product Portfolio
      • 14.3.3.3 SWOT Analysis
    • 14.3.4 Intel Corporation
      • 14.3.4.1 Company Overview
      • 14.3.4.2 Product Portfolio
    • 14.3.5 International Business Machines Corporation
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
      • 14.3.5.3 Financials
      • 14.3.5.4 SWOT Analysis
    • 14.3.6 Microsoft Corporation
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
      • 14.3.6.3 Financials
      • 14.3.6.4 SWOT Analysis
    • 14.3.7 Salesforce.com Inc.
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
      • 14.3.7.3 Financials
      • 14.3.7.4 SWOT Analysis
    • 14.3.8 Samsung Electronics Co. Ltd.
      • 14.3.8.1 Company Overview
      • 14.3.8.2 Product Portfolio
      • 14.3.8.3 Financials
      • 14.3.8.4 SWOT Analysis
    • 14.3.9 TIBCO Software Inc.
      • 14.3.9.1 Company Overview
      • 14.3.9.2 Product Portfolio
      • 14.3.9.3 Financials
      • 14.3.9.4 SWOT Analysis
    • 14.3.10 Trifacta
      • 14.3.10.1 Company Overview
      • 14.3.10.2 Product Portfolio
      • 14.3.10.3 SWOT Analysis
    • 14.3.11 Verint Systems Inc.
      • 14.3.11.1 Company Overview
      • 14.3.11.2 Product Portfolio

List of Figures

  • Figure 1: Global: AI in Fintech Market: Major Drivers and Challenges
  • Figure 2: Global: AI in Fintech Market: Sales Value (in Billion USD), 2019-2024
  • Figure 3: Global: AI in Fintech Market Forecast: Sales Value (in Billion USD), 2025-2033
  • Figure 4: Global: AI in Fintech Market: Breakup by Type (in %), 2024
  • Figure 5: Global: AI in Fintech Market: Breakup by Deployment Model (in %), 2024
  • Figure 6: Global: AI in Fintech Market: Breakup by Application (in %), 2024
  • Figure 7: Global: AI in Fintech Market: Breakup by Region (in %), 2024
  • Figure 8: Global: AI in Fintech (Solutions) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 9: Global: AI in Fintech (Solutions) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 10: Global: AI in Fintech (Services) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 11: Global: AI in Fintech (Services) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 12: Global: AI in Fintech (Cloud-based) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 13: Global: AI in Fintech (Cloud-based) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 14: Global: AI in Fintech (On-premises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 15: Global: AI in Fintech (On-premises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 16: Global: AI in Fintech (Virtual Assistant-Chatbots) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 17: Global: AI in Fintech (Virtual Assistant-Chatbots) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 18: Global: AI in Fintech (Credit Scoring) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 19: Global: AI in Fintech (Credit Scoring) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 20: Global: AI in Fintech (Quantitative and Asset Management) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 21: Global: AI in Fintech (Quantitative and Asset Management) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 22: Global: AI in Fintech (Fraud Detection) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 23: Global: AI in Fintech (Fraud Detection) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 24: Global: AI in Fintech (Other Applications) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 25: Global: AI in Fintech (Other Applications) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 26: North America: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 27: North America: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 28: United States: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 29: United States: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 30: Canada: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 31: Canada: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 32: Asia-Pacific: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 33: Asia-Pacific: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 34: China: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 35: China: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 36: Japan: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 37: Japan: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 38: India: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 39: India: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 40: South Korea: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 41: South Korea: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 42: Australia: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 43: Australia: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 44: Indonesia: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 45: Indonesia: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 46: Others: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 47: Others: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 48: Europe: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 49: Europe: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 50: Germany: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 51: Germany: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 52: France: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 53: France: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 54: United Kingdom: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 55: United Kingdom: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 56: Italy: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 57: Italy: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 58: Spain: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 59: Spain: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 60: Russia: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 61: Russia: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 62: Others: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 63: Others: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 64: Latin America: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 65: Latin America: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 66: Brazil: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 67: Brazil: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 68: Mexico: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 69: Mexico: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 70: Others: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 71: Others: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 72: Middle East and Africa: AI in Fintech Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 73: Middle East and Africa: AI in Fintech Market: Breakup by Country (in %), 2024
  • Figure 74: Middle East and Africa: AI in Fintech Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 75: Global: AI in Fintech Industry: SWOT Analysis
  • Figure 76: Global: AI in Fintech Industry: Value Chain Analysis
  • Figure 77: Global: AI in Fintech Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: AI in Fintech Market: Key Industry Highlights, 2024 and 2033
  • Table 2: Global: AI in Fintech Market Forecast: Breakup by Type (in Million USD), 2025-2033
  • Table 3: Global: AI in Fintech Market Forecast: Breakup by Deployment Model (in Million USD), 2025-2033
  • Table 4: Global: AI in Fintech Market Forecast: Breakup by Application (in Million USD), 2025-2033
  • Table 5: Global: AI in Fintech Market Forecast: Breakup by Region (in Million USD), 2025-2033
  • Table 6: Global: AI in Fintech Market: Competitive Structure
  • Table 7: Global: AI in Fintech Market: Key Players