市場調查報告書

IDC FutureScape:corporate銀行的全球市場的未來預測 (2020年)

IDC FutureScape: Worldwide Corporate Banking 2020 Predictions

出版商 IDC 商品編碼 738762
出版日期 內容資訊 英文 17 Pages
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IDC FutureScape:corporate銀行的全球市場的未來預測 (2020年) IDC FutureScape: Worldwide Corporate Banking 2020 Predictions
出版日期: 2019年10月31日內容資訊: 英文 17 Pages
簡介

全球公司銀行業面臨技術創新和對客戶體驗結果的變化做出迅速響應的需求。特別是近年來,由於金融科技和實時支付的普及以及全球低利率環境等因素,對具有高度便利性和遠見的數據驅動型價值主張的需求有所增加。

本報告提供全球corporate銀行產業未來可能發生的技術和管理變革(總共10項)考察,產業相關人員和客戶企業今後所應採取的對策等資訊,為您概述為以下內容。

IDC 由於FutureScape的市場趨勢預測 (圖表)

摘要整理

IDC FutureScape的預測

  • 外在市場推動市場要素:概要
  • 未來預測:技術買主的影響
    • 預測1:到2021年,將有70%的公司銀行實施實時支付,但只有25%的銀行將能夠有效使用實時支付; 2/3的客戶願意使用相關的增值服務
    • 預測2:銀行生態系統和連通性將變得更加重要;到2023年,資產管理決策的50%將基於合作夥伴生態系統和高級API
    • 預測3:到2023年,對金融系統軟體的投資將增長40%(是金融ICT增長率的兩倍);流動性管理功能將成為競爭優勢的新來源
    • 預測4:企業銀行的傳統業務模式面臨壓力,而新的XaaS模式將佔企業銀行收入的4%
    • 預測5:到2020年底,將有85%的銀行實施AI應用程序,從而實現客戶確認,智能判斷和自動處理,並縮短公司賬戶的開設和運營時間
    • 預測6:到2021年,全球90%的企業銀行將使用數據分析工具來監控交易和資產管理,並為客戶提供將風險降至最低的服務
    • 預測7:到2023年,30%的公司銀行LOB(業務部門)將引入人工智能(數據驅動,預測性機器學習等)以促進支付處理和現金管理的自動化
    • 預測8:到2025年,DLT,IoT和智能合約的融合將使運營成本降低60%,並將諸如信用證之類的紙質交易的處理時間減少一半。
    • 預測9:到2020年,全球70%的企業銀行將根據實時數據為客戶提供現金管理和流動性預測服務
    • 預測10:到2020年底,全球70%的公司財務部門將在銀行提供的公共雲端(符合下一代安全性)上進行財務管理和運營
      • 關聯的推動市場要素
      • IT市場的影響
      • 在事業面的影響
      • 建議

給技術買主建議

外在市場推動市場要素:詳細內容

  • 創新時代:促進未來企業發展
  • 感測·計算·行動 - 資料價值的最大化
  • 加速中斷:隨著流動性的增加,幫助公司解決問題
  • “隨處可見的信息”:人工智能市場機遇和影響
  • “未來的勞動力”:更加敏捷,功能齊全,無國界和可重構的工作環境
  • 平台經濟:超巨大規模的競爭
    • 概要
    • 背景情況

參考資料

  • 相關調查

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目錄
Product Code: US44961019

This IDC FutureScape presents the top 10 predictions for the corporate banking industry. Each prediction is shaped by a common set of key drivers that provides a planning tool for technology leaders and their line-of-business counterparts to use in their IT strategic planning efforts. The challenges of the industry continue to be shaped by trying to match fintech innovations, meet customer expectations, and protect the brand while resources are scarce and regulatory burdens persist."The innovativeness and customer experience in corporate banking is increasingly falling behind other lines of business. The shift to real-time payments, the continuous low-interest environment, a looming market correction, and corporate customers expecting a better, more connected, more insightful, and data-driven value proposition will put pressure on banks to move toward building a connected and increasingly open treasury ecosystem. New partnerships and data and value-added services will be key to future proof corporate banks," said Thomas Zink, research director, IDC Financial Insights.

IDC FutureScape Figure

Executive Summary

IDC FutureScape Predictions

  • Summary of External Drivers
  • Predictions: Impact on Technology Buyers
    • Prediction 1: By 2021, 70% of corporate banks will adopt real-time payments, but only 25 % will be able to productize it, despite two-thirds of customers being open to pay for related value-added services.
      • Associated Drivers
      • IT Impact
      • Business Impact
      • Guidance
    • Prediction 2: Ecosystem and connectivity are increasingly crucial for banks when choosing treasury apps. By 2023, 50% of treasury applications decisions will be based on partner ecosystem and advanced APIs.
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 3: By 2023, treasury system software investments are expected to grow at 40%, twice the rate of total treasury ICT; the corresponding liquidity management is a new source of competitive advantage.
      • Associated Drivers
      • IT Impact
      • Business Impact
      • Guidance
    • Prediction 4: As traditional corporate banking business models are coming under pressure, new XaaS models will grow to 4% of total corporate banking revenues by 2023.
      • Associated Drivers
      • IT Impact
      • Business Impact
      • Guidance
    • Prediction 5: By year-end 2020, 85% of banks will implement AI applications enabling intelligent decisions and automated processes for corporate KYC, reducing time to approved enrollment for new corporate accounts.
      • Associated Drivers
      • IT Impact
      • Business Impact
      • Guidance
    • Prediction 6: By 2021, 90% of global corporate banks will service clients by monitoring their transactions and financial operations using data analytics tools to reduce counterparty risk.
      • Associated Drivers
      • IT Impact
      • Business Impact
      • Guidance
    • Prediction 7: By 2023, 30% of corporate banking lines of business will have implemented AI, including data-driven predictive machine learning, for automated payments processing and cash management.
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 8: By 2025, the convergence of DLT, IoT, and smart contracts will reduce cost for enabled operations by 60% and will cut processing times in half for paper-heavy transactions such as letter of credit.
      • Associated Drivers
      • IT Impact
      • Business Impact
      • Guidance
    • Prediction 9: By 2020, 70% of global corporate banks will provide cash management and liquidity forecasting services to their clients, increasingly based on real-time data.
      • Associated Drivers
      • IT Impact
      • Business Impact
      • Guidance
    • Prediction 10: By the end of 2020, 20% of corporate treasurers worldwide will be running treasury operations on private or public cloud, supplied by banks and enabled by improvements in next-generation security.
      • Associated Drivers:
      • IT Impact
      • Business Impact
      • Guidance

Advice for Technology Buyers

External Drivers: Detail

  • The Age of Innovation - Driving the Future Enterprise
    • Description
    • Context
  • Sense, Compute, Act - Maximizing Data Value
    • Description
    • Context
  • Accelerated Disruption - Navigating Business Challenges as Volatility Intensifies
    • Description
    • Context
  • Intelligence Everywhere - AI's Opportunity and Implications
    • Description
    • Context
  • The Future of Work -Agile, Augmented, Borderless, and Reconfigurable
    • Description
    • Context
  • The Platform Economy - Competing at Hyperscale
    • Description
    • Context

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