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市場調查報告書

金融服務的人工智能應用程序:評估用於銷售,市場營銷,運營,投資,風險和合規性的AI軟件在金融公司中的市場機會-24個用例

Artificial Intelligence Applications for Financial Services: A Quantitative Assessment of the Market Opportunity in Finance Enterprises for AI Software Used for Sales, Marketing, Operations, Investment, Risk, and Regulatory Compliance, 24 Use Cases

出版商 Omdia | Tractica 商品編碼 954016
出版日期 內容資訊 英文 49 Pages; 25 Tables, Charts & Figures
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金融服務的人工智能應用程序:評估用於銷售,市場營銷,運營,投資,風險和合規性的AI軟件在金融公司中的市場機會-24個用例 Artificial Intelligence Applications for Financial Services: A Quantitative Assessment of the Market Opportunity in Finance Enterprises for AI Software Used for Sales, Marketing, Operations, Investment, Risk, and Regulatory Compliance, 24 Use Cases
出版日期: 2020年08月07日內容資訊: 英文 49 Pages; 25 Tables, Charts & Figures
簡介

預計金融服務行業將在許多用例中嵌入AI技術,這些用例側重於流程優化,預測分析,客戶交互,異常檢測和客戶體驗。 Omdia預測,金融服務的AI軟件收入將從2020年的20億美元增長到2025年的91億美元。

該報告研究了金融服務行業的AI應用市場,重點關注增長驅動因素,障礙,收入預測,關鍵參與者和用例。它還涵蓋了對市場的影響。

目錄

執行摘要

  • 概述
  • 市場增長因素
  • 市場障礙
  • Omdia焦點報告
  • 市場預測重點

市場問題

  • 市場增長因素
    • 降低成本,可擴展性和效率
    • 對優化和自動化的需求不斷增長
    • 大量可用數據
    • 對更多以數據為依據的決策和預測的需求越來越大
    • 增加提供更多個性化服務的願望
    • 要求提高安全性和隱私性
  • 市場壁壘
    • 關於AI的不切實際的期望
    • 缺乏經驗豐富的人力資源
    • 有關算法公平性的問題
    • 變更管理問題
  • 使用示例
    • 財務用例
      • 客戶服務和營銷VDA
      • 風險評估與合規
      • 欺詐檢測和緩解
      • 視頻監控
      • 自動生成報告
      • 個人財務顧問
      • 信用評分和貸款分析
      • 稅收申報和處理
      • 生物識別
      • 員工費用管理
      • 語音/語音識別
      • 面部識別
      • 檢測/識別/避免機械/車輛物體
      • 人類情感分析
    • 使用保險的示例
      • 處理患者數據
      • 投訴處理
      • 電子商務和銷售VDA
      • 承保和風險評估
      • 將文檔轉換為數字數據
      • 用於損壞評估的圖像分析
    • 投資用例
      • 算法交易策略性能
      • 改善
      • 金融搜索引擎
      • 用於投資的市場情報和數據分析
      • 用於地理分析的衛星圖像

市場生態系統

  • 市場建議
    • 通用AI開發平台
    • 預測分析/操作
    • 投資/資產管理專家
    • 監管/合規技術提供商
    • 信用評分/風險評估提供商
    • VDA提供程序
    • 投資公司
    • 對於金融服務公司/銀行/消費者
    • 公司
    • 保險公司

關鍵公司

  • AlphaSense
  • Artificial Solutions
  • Behavioral Signals
  • Boosted.ai
  • Clinc
  • DataRobot
  • Interactions
  • Kavout
  • LenddoEFL
  • Personetics
  • Symphony Ayasdi
  • Underwrite.ai
  • Zest AI

市場預測

  • 預測調查方法
  • 使用金融服務的AI軟件總收入
    • 使用金融AI的示例
    • 使用投資AI的示例
    • 使用保險AI的示例
  • 金融服務AI軟件按用法示例收入
  • 按地區劃分的金融服務AI軟件收入
  • 按行業劃分的金融服務AI軟件收入
  • 推薦
目錄
Product Code: AIF-20

Title:
Artificial Intelligence Applications for Financial Services
A quantitative assessment of the market opportunity in finance enterprises for AI software used for sales, marketing, operations, investment, risk, and regulatory compliance. It analyzes 24 use cases driven by five AI technologies across five global regions.

The intense competition for customers and business-combined with the impact of the COVID-19 pandemic-is helping to accelerate the timing of artificial intelligence (AI)-powered automation projects across customer-facing, backend, and fraud and security processes. Demand for self-service and always available access to new products and existing financial accounts has led to a growing utilization of AI and machine learning (ML) solutions. These solutions allow more robust engagement with customers, more efficient processes and operations, and a more streamlined approach to doing business.

The financial services industry has been an early adopter of analytics and big data for years. Banks, credit unions, investment firms, and fintech companies have been among the leaders in utilizing AI. But mindful of deployment costs, ROI, and regulatory concerns, AI is also being rolled out by enterprise financial services companies. The financial services industry is projected to incorporate AI technology over a number of use cases that are focused on process optimization, predictive analytics, customer interactions, anomaly detection, and customer experience. Omdia forecasts that AI software revenue for financial services use cases will grow from $2.0bn in 2020 to $9.1bn in 2025.

This Omdia Focus Report looks at the following market issues surrounding AI applications within the financial services industry: drivers, barriers, revenue forecasts, key players, and use cases. Omdia identifies 24 use cases that will affect the industry between 2020 and 2025 and provides in-depth analysis of each use case, covering the applications, technologies, and metrics for success. The report and forecast also address the impact of the COVID-19 pandemic, which has spurred more demand for AI and automation, on the financial services market.

Key Questions Addressed:

  • How will data privacy and security issues affect the way AI technology will be deployed within financial services companies?
  • How are vendors responding in terms of how they market, sell, and deliver AI solutions?
  • What KPIs or other metrics are being used to define success with AI in financial services companies?
  • Which financial services use cases will generate the most software revenue throughout the forecast period, and how will this mix vary among world regions?
  • Which AI use cases will be deployed within the finance, insurance, and investment subindustries?
  • How are financial services regulations, privacy concerns, and data security issues affecting the way AI solutions are delivered and utilized?

Who Needs This Report?

  • AI technology companies
  • Financial services companies
  • Banks, credit unions, brokerage firms, institutional investors, and hedge funds
  • Software companies
  • Service providers and systems integrators
  • Industry organizations
  • AI and financial services consultants
  • Investor community

Table of Contents

Executive summary

  • Overview
  • Market drivers
  • Market barriers
  • Omdia view
  • Market forecast highlights

Market issues

  • Market drivers
    • Reduced costs and improved scalability and efficiency
    • Increased demand for optimization and automation
    • Plethora of data available
    • Strong demand for more data-driven decision-making and predictions
    • Increasing desire for providing more personalization
    • Desire for increased security and privacy
  • Market barriers
    • Unrealistic expectations surrounding AI
    • Lack of experienced talent
    • Algorithmic fairness questions
    • Change management issues
  • Use cases
    • Finance use cases
      • Customer service & marketing VDAs
      • Risk assessment and compliance
      • Fraud detection and mitigation
      • Video surveillance
      • Automated report generation
      • Personal financial advisor
      • Credit scoring and loan analysis
      • Tax filing and processing
      • Biometric identification
      • Employee expense management
      • Voice/speech recognition
      • Face recognition
      • Machine/vehicular object detection/identification/avoidance
      • Human emotion analysis
    • Insurance use cases
      • Patient data processing
      • Claims processing
      • E-commerce & sales VDAs
      • Insurance underwriting & risk assessment
      • Converting paperwork into digital data
      • Image analysis for damage assessment
    • Investment use cases
      • Algorithmic trading strategy performance
      • improvement
      • Financial search engine
      • Market intelligence and data analytics for investment
      • Satellite imagery for geo-analytics

Market ecosystem

  • Market recommendations
    • General AI development platforms
    • Predictive analytics/operations
    • Investment/asset management specialists
    • Regulatory/compliance tech providers
    • Credit scoring/risk assessment providers
    • VDA providers
    • Investment companies
    • Financial services companies/banks/consumer-facing
    • companies
    • Insurance companies

Key industry players

  • AlphaSense
  • Artificial Solutions
  • Behavioral Signals
  • Boosted.ai
  • Clinc
  • DataRobot
  • Interactions
  • Kavout
  • LenddoEFL
  • Personetics
  • Symphony Ayasdi
  • Underwrite.ai
  • Zest AI

Market forecasts

  • Forecast methodology
  • Total AI software revenue for financial services use cases
    • Finance AI use cases
    • Investment AI use cases
    • Insurance AI use cases
  • Financial services AI software revenue by use case
  • Financial services AI software revenue by region
  • Financial services AI software revenue by horizontal
  • Recommendations

Tables

  • Financial services AI use cases, listed by revenue
  • Finance use cases, listed by revenue
  • Insurance use cases, listed by revenue
  • Investment use cases, listed by revenue
  • Total financial services AI software revenue by region, world markets: 2020-25
  • Total financial services AI software revenue by use case, world markets: 2020-25
  • Financial services AI software revenue by use case, North America: 2020-25
  • Financial services AI software revenue by use case, Europe: 2020-25
  • Financial services AI software revenue by use case, Asia Pacific: 2020-25
  • Financial services AI software revenue by use case, Latin America: 2020-25
  • Financial services AI software revenue by use case, Middle East & Africa: 2020-25
  • Financial services AI software revenue by horizontal, world markets: 2020-25

Figures

  • Total financial services AI software revenue by region, world markets: 2020-25
  • Representative AI financial services ecosystem
  • Total financial services AI software revenue by use case, world markets: 2020-25
  • Total financial services AI software revenue by subindustry, world markets: 2020-25
  • Finance AI software revenue by use case, world markets: 2020-25
  • Investment AI software revenue by use case, world markets: 2020-25
  • Insurance AI software revenue by use case, world markets: 2020-25
  • Top eight financial services AI software use cases by revenue, world markets: 2020-25
  • Total financial services AI software revenue by region, world markets: 2020-25
  • Top four financial services AI software use cases by revenue, North America: 2020-25
  • Top four financial services AI software use cases by revenue, Europe: 2020-25
  • Top four financial services AI software use cases by revenue, Asia Pacific: 2020-25
  • Cumulative financial services AI software revenue by horizontal, world markets: 2020-25