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金融サービス向け人工知能アプリケーション:セールス、マーケティング、オペレーション、投資、リスクおよびコンプライアンスに使用されるAIソフトウェアの金融企業における市場機会の評価 - 24件の使用例

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: | 発行: Omdia | Tractica | ページ情報: 英文 49 Pages; 25 Tables, Charts & Figures | 納期: 即納可能 即納可能とは

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=105.81円
金融サービス向け人工知能アプリケーション:セールス、マーケティング、オペレーション、投資、リスクおよびコンプライアンスに使用されるAIソフトウェアの金融企業における市場機会の評価 - 24件の使用例
出版日: 2020年08月07日
発行: Omdia | Tractica
ページ情報: 英文 49 Pages; 25 Tables, Charts & Figures
納期: 即納可能 即納可能とは
  • 全表示
  • 概要
  • 図表
  • 目次
概要

金融サービス業界は、プロセスの最適化、予測分析、顧客との対話、異常検出、顧客体験に焦点を当てた多数の使用事例にAI技術を組み込むと予測されています。 Omdiaは、金融サービス向けAIソフトウェア収益が2020年の20億米ドルから2025年には91億米ドルに増加すると予測しています。

当レポートは、金融サービス業界におけるAIアプリケーション市場について調査し、成長促進要因、障壁、収益予測、主要企業、および使用事例などに注目して分析しており、COVID-19パンデミックが金融サービス市場に与える影響についても取り上げています。

目次

エグゼクティブサマリー

  • 概要
  • 市場成長要因
  • 市場障壁
  • Omdia Focus Report
  • 市場予測のハイライト

市場課題

  • 市場成長要因
    • コストの削減、スケーラビリティ・効率の向上
    • 最適化・自動化に対する需要の増加
    • 利用可能な大量のデータ
    • よりデータ駆動型の意思決定と予測に対する強い需要
    • よりパーソナライズを提供したいという願望の高まり
    • セキュリティとプライバシーの向上に対する要望
  • 市場の障壁
    • AIを取り巻く非現実的な期待
    • 経験豊富な人材の不足
    • アルゴリズムの公平性に関する質問
    • 変更管理の問題
  • 使用例
    • 金融の使用例
      • カスタマーサービスおよびマーケティングVDA
      • リスク評価とコンプライアンス
      • 不正の検出と軽減
      • ビデオ監視
      • 自動レポート生成
      • 個人財務アドバイザー
      • 信用スコアリングとローン分析
      • 税の申告と処理
      • 生体認証
      • 従業員経費管理
      • 音声/音声認識
      • 顔認識
      • 機械/車両オブジェクトの検出/識別/回避
      • 人間の感情分析
    • 保険の使用例
      • 患者データの処理
      • クレーム処理
      • 電子商取引および販売VDA
      • 保険引受とリスク評価
      • 書類をデジタルデータに変換する
      • 損傷評価のための画像分析
    • 投資の使用例
      • アルゴリズム取引戦略のパフォーマンス
      • 改善
      • 財務検索エンジン
      • 投資のための市場インテリジェンスとデータ分析
      • 地理分析のための衛星画像

市場エコシステム

  • 市場提言
    • 一般的なAI開発プラットフォーム
    • 予測分析/操作
    • 投資/資産管理スペシャリスト
    • 規制/コンプライアンス技術プロバイダー
    • 信用スコアリング/リスク評価プロバイダー
    • VDAプロバイダー
    • 投資会社
    • 金融サービス会社/銀行/消費者向け
    • 企業
    • 保険会社

主要企業

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

市場予測

  • 予測調査手法
  • 金融サービス使用例のAIソフトウェアの総収益
    • 金融AIの使用例
    • 投資AIの使用例
    • 保険AIの使用例
  • 金融サービスAIソフトウェア収益:使用例別
  • 金融サービスAIソフトウェア収益:地域別
  • 金融サービスAIソフトウェア収益:業界別
  • 推奨事項
図表

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
目次
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
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