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市場調查報告書

銀行AI、自動化 - 引進,供應商定位,市場預測:2020年∼2025年

AI & Automation in Banking: Adoption, Vendor Positioning & Market Forecasts 2020-2025

出版商 Juniper Research Ltd 商品編碼 971194
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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銀行AI、自動化 - 引進,供應商定位,市場預測:2020年∼2025年 AI & Automation in Banking: Adoption, Vendor Positioning & Market Forecasts 2020-2025
出版日期: 2020年10月27日內容資訊: 英文
簡介

本報告提供銀行AI、自動化市場相關調查分析,各市場區隔必要的策略為焦點,未來的解決方案引進率,市場預測,使用案例分析,主要供應商相關的系統性資訊。

目錄

第1章 銀行AI、自動化:要點和策略性建議

  • 要點
  • 策略性建議

第2章 銀行市場現狀

  • 簡介
  • 促進自動化的銀行的主要趨勢

第3章 銀行AI、自動化

  • 銀行AI、自動化
    • 簡介
  • 各市場區隔分析
    • RPA
    • 機器人顧問
    • 聊天機器人
    • 自動貸款(AI)
    • legTec (Regtech) 、詐騙AI

第4章 銀行AI、自動化:競爭情形

  • 競爭分析的簡介
  • 供應商分析與Juniper Leaderboard
  • 業者簡介
    • Automation Anywhere
    • Feedzai
    • Finn AI
    • Kount
    • Kasisto
    • Lemonade
    • ComplyAdvantage
    • NetGuardians
    • Personetics
    • Onfido
    • Scalable Capital
    • UiPath
    • Upstart
    • Wealthfron
    • Zest AI

第5章 銀行AI、自動化:市場預測

  • Juniper Research的見解:主要的優勢和策略性開發機會
  • 簡介
  • 調查手法與前提條件
  • 市場預測
目錄

Juniper Research's new ‘AI & Automation in Banking research report’ provides an in-depth evaluation of how greater automation and the leveraging of machine learning are leading to fundamental changes in the way the banking and finance sectors operate. The report focuses on the strategies required in each segment to achieve the best outcomes for deployments, as well as providing an extensive forecast suite, which outlines the future rate of adoption for AI- & automation-based solutions. The forecast and the use case analysis in the report focus on the following segments:

  • RPA
  • Roboadvisors
  • Chatbots
  • AI in lending underwriting

The research report also positions AI & automation vendors via a Juniper Research Leaderboard; providing a key resource when considering how vendors are leveraging AI & automation to deliver better banking and financial services to users.

This research suite comprises:

  • Strategy & Forecasts (PDF)
  • 5-Year Deep Dive Data & Forecasting (PDF/IFxl)
  • 12 months' access to harvest online data platform

Key Features

  • AI & Automation in Banking Market Dynamics: Detailed analysis of the current state of evolution of the banking market and how this is driving the need for AI & automation tools to improve efficiency for banks and other financial institutions.
  • AI & Automation in Banking Use Case Analysis: Extensive assessment of the main use cases for the adoption of AI & automation in banking, including the current extent of market disruption, what challenges there are to future growth and what the future outlook is. This analysis includes five main areas:
    • RPA
    • Roboadvisors
    • Chatbots
    • AI in lending underwriting
    • AI in Fraud
  • Juniper Research AI & Automation in Banking Leaderboard: 15 leading AI & automation in banking vendors compared, scored and positioned on the Juniper Research Leaderboard matrix, including:
    • Automation Anywhere
    • Feedzai
    • Finn AI
    • Kount
    • Kasisto
    • Lemonade
    • ComplyAdvantage
    • NetGuardians
    • Personetics
    • Onfido
    • Scalable Capital
    • UiPath
    • Upstart
    • Wealthfront
    • Zest AI
  • Benchmark Industry Forecasts: Forecasts sizing markets up to 2025 for the following 4 key markets, split by 19 countries and our 8 key regions:
    • RPA
    • Roboadvisors
    • Chatbots
    • AI in lending underwriting

Key Questions

  • 1. What is the revenue opportunity for automation in banking over the next five years?
  • 2. What effect has the pandemic had on demand for automation services?
  • 3. What are the prospects for AI-underwritten lending and how will lenders use this to expand their operations?
  • 4. Who are the current AI & Automation leaders and how will they fare over the next five years?
  • 5. What is the future outlook for the adoption of roboadvisors over the next five years?

Companies Referenced

  • Case Studied: Kabbage
  • Included in Juniper Research Leaderboard: Automation Anywhere, ComplyAdvantage, Feedzai, Finn AI, Kasisto, Kount, Lemonade, NetGuardians, Onfido, Personetics, Scalable Capital, UiPath, Upstart, Wealthfront, Zest AI.
  • Mentioned: Accion Chicago, AdNovum, Alkeon Capital, Altea Business Services, Amazon Web Services, American Express, Ascensus, ATB Financial, Atom Bank, Auth0, Avaloq, Balderton Capital, Banco Santander, Bank of America, Banpro, Barclays, BBVA, BDC Venture Capital, BehavioSec, Benchmark, Betterment, Bitstamp, BlackRock, Blue Turtle Technologies, Capital One Growth Ventures, Chase Bank, Citi Ventures, Citigroup, Coatue, Cognizant, Coinbase, Commerce Ventures, Conekta, Couchsurfing, Crane Venture Partners, Credo Ventures, Credorax, CUBE, Cuscal, DAG Ventures, DBS, Deloitte, Delta Airlines, Earlybird Venture Capital, EY, Facebook, FCA, Fidor Bank, Finacle, First Federal Bank of Kansas City, First National Bank of Omaha, First Ontario Credit Union, First Round Capital, FirstData, Flybridge Capital Partners, Flying Fish Partners, Fortress Investment Group, Founders Fund, General Atlantic, Goldman Sachs, Google, Greylock Partners, GV, Healthcare of Ontario Pension Plan, HV Holtzbrinck Ventures, IBM, Idinvest Partners, Index Ventures, ING DiBa, Intuit, JPMorgan, Keybank, Khosla Ventures, Kleiner Perkins, Landlord Studio, Lending Club, Lightspeed Ventures, Lloyd's of London, Lloyds Banking Group, Mastercard, Microsoft, MindBridge, Moneythor, Monzo, N26, Napier Park Financial Partners, New York Angels, Nexsys Technologies, Nubank, Oak HC/FT, Oakhouse Partners, OnDeck Capital, Onesource Virtual, Ontario Teachers' Pension Plan, Openbank, Orbium, PayCertify, Postbank, Prestige Financial Services, Propel Venture Partners, PwC, Redfin, Revolut, Rho Capital Partners, Salesforce Ventures, Santander Consumer Bank, Sequoia Capital, Slow Ventures, Social Capital, SoFi, SoftBank Vision Fund, Spark Capital, SRI International, Standard Bank, Standard Chartered Bank, Starling, State of Nevada, Swisscom, Talis Capital, TD Bank, Temenos, The Progressive Corporation, Third Point Ventures, Tiger Global Management, TPG Growth, TruNarrative, Tuesday Capital, Two Sigma Ventures, Tyme Bank, U.S. Department of Treasury, UberEATS, United Nations Office on Drugs and Crime, Valantic, Venmo, Visa, Wag, Walgreens Boots Alliance, WebPT, Wellington Partners, Wells Fargo, Workday Ventures, World Innovation Lab, XL Catlin, Yaletown Partners, ZestFinance, Zipcar.

Data & Interactive Forecast

Juniper Research's ‘AI & Automation in Banking forecast suite’ includes:

  • Forecast splits for 8 key regions, as well as 19 country-level data splits for:
    • Australia
    • Brazil
    • Canada
    • China
    • Denmark
    • France
    • Germany
    • India
    • Japan
    • Mexico
    • Netherlands
    • Norway
    • Portugal
    • Saudi Arabia
    • South Korea
    • Spain
    • Sweden
    • UK
    • US
  • Forecasts across a number of key verticals for adoption of AI & automation tools:
    • RPA
    • Roboadvisors
    • Chatbots
    • AI in lending underwriting
  • Interactive Scenario Tool allowing users to manipulate Juniper Research's data for 10 different metrics.
  • Access to the full set of forecast data of 82 tables and more than 16,700 datapoints.

Juniper Research's highly granular IFxls (interactive Excels) enable clients to manipulate our forecast data and charts to test their own assumptions, by using the Interactive Scenario Tool, and compare select markets side by side in customised charts and tables. IFxls greatly increase the clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. AI & Automation in Banking: Key Takeaways & Strategic Recommendations

  • 1.1. Key Takeaways
    • 1.1.1. Chatbot Use Boosted by Pandemic
    • 1.1.2. Automation Critical to Reducing Costs in Banking
    • 1.1.3. Roboadvisors & Chatbots Are Beginning to Merge
    • 1.1.4. AI-powered Lending Faces Pandemic Reckoning
  • 1.2. Strategic Recommendations
    • 1.2.1. Pursue SaaS Models for Greatest Risk Reward Balance
    • 1.2.2. Create Combined Transformation Strategies, Rather Than Ad Hoc Initiatives

2. Current Status of the Banking Market

  • 2.1. Introduction
  • 2.2. Key Trends in Banking Driving Automation
    • 2.2.1. Increasing Digital Transformation
      • Figure 2.1: Digital Banking Users (m), Global, 2013-2020
    • 2.2.2. The Impact of COVID-19
    • 2.2.3. New Digital Banks Imposing Competitive Pressure

3. AI & Automation in Banking

  • 3.1. AI & Automation in Banking
    • 3.1.1. Introduction
      • Figure 3.1: AI Skills in Banking
      • Figure 3.2: Types of AI
      • i. Automation Without AI
  • 3.2. Segment Analysis
    • 3.2.1. RPA
      • i. How Is AI & Automation Used in This Area?
      • ii. Examples of Deployment
      • iii. Benefits of Use & Why It Is Being Introduced
      • iv. Juniper's View: Future Outlook
    • 3.2.2. Roboadvisors
      • i. How Is AI & Automation Used in This Area?
        • Table 3.3: AI Role Classification in Roboadvisors
      • ii. Examples of Deployment
      • iii. Benefits of Use & Why It Is Being Introduced
      • iv. Juniper's View: Future Outlook
    • 3.2.3. Chatbots
      • i. How Is AI & Automation Used in This Area?
      • ii. Examples of Deployment
      • iii. Benefits of Use & Why It Is Being Introduced
      • iv. Juniper's View: Future Outlook
    • 3.2.4. Automated Lending (AI)
      • i. How Is AI & Automation Used in this Area?
      • ii. Examples of Deployment
        • Case Study: Kabbage
      • iii. Benefits of Use & Why It Is Being Introduced
      • iv. Juniper's View: Future Outlook
    • 3.2.5. AI in Regtech & Fraud
      • i. How Is AI & Automation Used in This Area?
      • ii. Examples of Deployment
      • iii. Benefits of Use & Why It Is Being Introduced

4. AI & Automation in Banking: Competitive Landscape

  • 4.1. Competitive Analysis Introduction
  • 4.2. Vendor Analysis & Juniper Leaderboard
    • Table 4.1: AI & Automation in Banking Vendor Capability Assessment Factors
    • Figure 4.2: Juniper Research Leaderboard for AI & Automation in Banking
    • Table 4.3: AI & Automation in Banking Leaderboard Scoring Heatmap
    • i. Limitations & Interpretation
    • 4.2.2. Vendor Groupings
      • i. Summary
      • ii. Established Leaders
      • iii. Leading Challengers
      • iv. Disruptors and Emulators
  • 4.3. Vendor Profiles
    • 4.3.1. Automation Anywhere
      • i. Corporate
        • Table 4.4: Automation Anywhere Funding Rounds
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.3.2. Feedzai
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.3.3. Finn AI
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.3.4. Kount
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.3.5. Kasisto
      • i. Corporate
        • Table 4.5: Kasisto Funding Rounds
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
    • 4.3.6. Lemonade
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.3.7. ComplyAdvantage
      • i. Corporate
        • Table 4.6: ComplyAdvantage Funding Rounds
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
    • 4.3.8. NetGuardians
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.3.9. Personetics
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
    • 4.3.10. Onfido
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
    • 4.3.11. Scalable Capital
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.3.12. UiPath
      • i. Corporate
        • Table 4.7: UiPath Funding Rounds
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.3.13. Upstart
      • i. Corporate
        • Table 4.8: Upstart Funding Rounds
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.3.14. Wealthfront
      • i. Corporate
        • Table 4.9: Wealthfront Funding Rounds
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.3.15. Zest AI
      • i. Corporate
        • Table 4.10: Zest AI Funding Rounds
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings

5. AI & Automation in Banking: Market Forecasts

  • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
  • 5.1. Introduction
  • 5.2. Methodology & Assumptions
    • Figure 5.1: Roboadvisors Forecast Methodology
    • Figure 5.2: Consumer Lending Forecast Methodology
    • Figure 5.3: Business Lending Forecast Methodology
    • Figure 5.4: Methodology for Messaging Application Chatbots
    • Figure 5.5: Methodology for Discrete Application Chatbots
    • Figure 5.6: Methodology for Web-based Chatbots
    • Figure 5.7: RPA Forecast Methodology
  • 5.3. Market Forecasts
    • 5.3.1. Roboadvisor AUM (Assets Under Management)
      • Figure & Table 5.8: Roboadvisors Assets under Management ($bn), Split by 8 Key Regions, 2020-2025
    • 5.3.2. Roboadvisor Platform Revenue
      • Figure & Table 5.9: Roboadvisor Platform Revenues ($m), Split by 8 Key Regions, 2020-2025
    • 5.3.3. RPA Spend in Banking & Financial Services
      • Figure & Table 5.10: Total Robotic Process Automation Revenue, Banking & Financial Services ($m), Split by 8 Key Regions, 2020-2025
    • 5.3.4. Machine Learning Lending
      • Figure & Table 5.11: Total Consumer & Business Unsecured Annual Loan Value Approved by Machine Learning ($m), Split by 8 Key Regions, 2020-2025
    • 5.3.5. AI Lending Platform Revenue
      • Figure & Table 5.12: Annual Consumer & Business Unsecured Lending Platform Revenues ($m), Split by 8 Key Regions, 2020-2025
    • 5.3.6. Successful Chatbot Interactions
      • Figure & Table 5.13: Number of Successful Banking Chatbot Interactions (m) Split by 8 Key Regions, 2020-2025
    • 5.3.7. Chatbot Cost Savings for Business
      • Figure & Table 5.14: Total Banking Chatbots Cost Savings for Businesses ($m) Split by 8 Key Regions, 2020-2025