表紙:金融サービス向け量子コンピューティング:要件・用途・支出
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金融サービス向け量子コンピューティング:要件・用途・支出

Quantum Computing in Financial Services: Requirements, Applications and Expenditures

出版日: | 発行: Inside Quantum Technology | ページ情報: 英文 57 Page PDF | 納期: 即納可能 即納可能とは

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金融サービス向け量子コンピューティング:要件・用途・支出
出版日: 2021年06月29日
発行: Inside Quantum Technology
ページ情報: 英文 57 Page PDF
納期: 即納可能 即納可能とは
  • 全表示
  • 概要
  • 目次
概要

当レポートでは、世界の金融サービス向け量子コンピューティングの市場について分析し、量子コンピューティング技術の概略や主な利点・課題、金融サービス業界における主な利用事例、全体的な市場規模 (資本投資額、サービス支出額) の動向見通し (今後5年間分)、主な顧客企業での活用状況、主要企業のプロファイルと事業展開状況、今後の成長機会、といった情報を取りまとめてお届けいたします。

目次

第1章 分析の背景事情

  • エグゼクティブサマリー:金融サービス向け量子コンピューティング
  • このレポートの分析手法
  • このレポートの計画

第2章 金融サービス向け量子コンピューティング:技術・機会・課題

  • 金融サービス業界における量子への考え方
  • 市場の変化と、金融サービス向けの量子コンピューティングの展開パターン
    • 量子コンピューティングの規制と展開
  • 金融サービス向け量子コンピューティング:新たな潜在的市場・用途
    • 量子機械学習
  • 金融サービス向け量子コンピューティングの展開に対するITの側面
    • ハードウェアの側面
    • ソフトウェアの側面
    • 確率論的アプローチのコーディングへの影響
    • クラウドプロビジョニングへの課題
    • 量子のバッチのような性質
  • 結論

第3章 金融サービス向け量子コンピューティング:利用事例

  • 金融サービス内での量子コンピューティングの活用状況
  • 貿易決済
    • 高頻度取引 (HFT)
  • リスクモデリング
  • 人工知能/機械学習 (AI/ML) の加速化
  • 目標ベースの投資 (静的) ポートフォリオ構築
  • サイバーセキュリティ
  • 税務上損失の補填
  • 不正検出
  • 分析主導のCRM
  • 動的ポートフォリオ管理
  • クレジットスコアリング
  • 通貨裁定取引
  • デリバティブ価格
  • 結論

第4章 金融サービス向け量子コンピューティング:顧客企業の活動

  • 市場参入企業
    • ABN AMRO
    • Barclays
    • BBVA
    • BNP Paribas
    • CaixaBank
    • Citigroup
    • Commonwealth Bank of Australia
    • Goldman Sachs
    • HSBC
    • JPMorgan
    • Mizuho Financial Group
    • Mitsubishi Financial Group
    • NatWest
    • Nomura Securities
    • ScotiaBank
    • Standard Chartered
    • UBS
    • Wells Fargo
  • 結論

第5章 金融業界にサービスを提供する量子コンピューティング・ベンダー

  • 研究開発 (R&D) 活動の概要
  • 金融サービスに焦点を当てたベンダー
    • QuantFi
    • JoS QUANTUM
    • Nordic Quantum Computing Group (NQCG)
    • Multiverse Computing
    • Quantum Mads
    • CogniFrame
    • QC Ware
    • 1Qbit
  • 金融サービスをサポートするエコシステムベンダー
  • 結論
  • 内部量子技術について
  • アナリストについて
  • 本文中の頭字語・略語
目次
Product Code: IQT-QCFS-0621

This new report analyzes the opportunity for quantum computing in the financial services sector and forecasts its level of capital and service expenditures on quantum computing in the next five years. IQT Research believes that this sector has the funds to support significant investment in quantum computing and also that there are abundant applications for quantum computing in financial services going forward. Some of the interviewees for this report were "frustrated" that their companies were not focusing sufficiently on the opportunities that they saw in quantum computers. Others thought their organizations were too distracted by the hype associated with quantum computing.

This report sorts out where quantum computing really sits as a future tool for the financial services industry. Here we note that many of the largest banks and other financial institutions already have substantial quantum computing teams in place. With this in mind, this report includes profiles of the internal quantum computing development work being done by 18 leading financial institutions comprising, ABN AMRO, Barclays, BBVA, BNP Paribas, CaixaBank, Citigroup, Commonwealth Bank of Australia, Goldman Sachs, HSBC, JPMorgan, Mizuho Financial Group, Mitsubishi Financial Group, NatWest, Nomura Securities, ScotiaBank, Standard Chartered, UBS and Wells Fargo.

While some credit card companies and insurance companies are also expressing interest, this report finds that it is banks that are publishing research and defining partnerships. Also, key to this market is a handful of quantum computing firms that are focused specifically on the financial services sector. Many of these are also profiled in this report including QuantFi, JoS QUANTUM, Nordic, Quantum Computing Group (NQCG), Multiverse Computing, Quantum Mads, QC Ware and 1Qbit.

The report also discusses the many potential applications for quantum computing in the financial services industry that IQT Research believes will become prominent in the coming years. These will include trade settlements, risk modeling, accelerating AI/ML, goals-based investment, portfolio construction, tax loss harvesting, fraud detection, analytics-driven CRM, dynamic portfolio management, credit scoring, currency arbitrage, and derivative pricing. For each of these areas, we take a look at how quantum computing can add efficiencies and profitability to financial institutions.

As with other IQT Research reports, the forecasts for this report are included in a separate spreadsheet, enabling the reader to play "what if" games. The numbers presented here are based on IQT's forecast models for the entire quantum technology market.

The report is based on both primary and secondary research. The primary research included interviews with leading financial institutions as well as on the ongoing interviews carried out by IQT research throughout the quantum technology sector and end-user base. The secondary research consists of reviews of both technical and business articles related to quantum computing as well as the websites of commercial firms and other organizations involved.

IQT Research believes that quantum computing has the potential to disrupt financial services to the same degree that occurred with digital computing and high frequency trading in the past. We believe that this report will become required reading for marketing and business development executives at quantum computer companies and cloud vendors as well as managers in financial institutions themselves.

Table of Contents

Chapter One: Background to this Report

  • 1.1. Executive Summary - Quantum Computing in Financial Services
    • 1.1.1. Time to Put Business Ahead of Research
    • 1.1.2. The Math is Out There, the Hardware is Not
    • 1.1.3. Keep Your Options Open
  • 1.2. Methodology of this Report
    • 1.2.1. Forecasting Methodology
  • 1.3. Plan of this Report

Chapter Two: Quantum Computing in Financial Services: Technologies, Opportunities and Challenges

  • 2.1. Attitudes to Quantum in the Financial Services Industry
  • 2.2. Changing Market and Deployment Patterns of Quantum Computing for Financial Services
    • 2.2.1. Regulation and Quantum Computing Deployment
  • 2.3. Emerging Potential Market Applications for Quantum Computing in Financial Services
    • 2.3.1. Quantum Machine Learning
  • 2.4. IT Aspects to Quantum Computing Deployment in Financial Services
    • 2.4.1. Hardware Aspects
    • 2.4.2. Software Aspects
    • 2.4.3. Impact on coding of a probabilistic approach:
    • 2.4.4. Challenges to Cloud Provisioning
    • 2.4.5. Batch-like Nature of Quantum
  • 2.5. Key Points from this Chapter

Chapter Three: Quantum Computing in Financial Services - Use Cases

  • 3.1. Using Quantum Computing within Financial Services
  • 3.2. Trade Settlements
    • 3.2.1. High Frequency Trading (HFT)
  • 3.3. Risk Modeling
  • 3.4. Accelerating Artificial Intelligence/Machine Learning (AI/ML)
  • 3.5. Goals-based Investment (Static) Portfolio Construction
  • 3.6. Cybersecurity
  • 3.7. Tax loss harvesting
  • 3.8. Fraud detection
  • 3.9. Analytics-Driven CRM
  • 3.10. Dynamic Portfolio Management
  • 3.11. Credit Scoring
  • 3.12. Currency Arbitrage
  • 3.13. Derivative Pricing
  • 3.14. Key Points from this Chapter

Chapter Four: Quantum Computing in Financial Services - Activity

  • 4.1. Participants
    • 4.1.1. ABN AMRO
    • 4.1.2. Barclays
    • 4.1.3. BBVA
    • 4.1.4. BNP Paribas
    • 4.1.5. CaixaBank
    • 4.1.6. Citigroup
    • 4.1.7. Commonwealth Bank of Australia
    • 4.1.8. Goldman Sachs
    • 4.1.9. HSBC
    • 4.1.10. JPMorgan
    • 4.1.11. Mizuho Financial Group
    • 4.1.12. Mitsubishi Financial Group
    • 4.1.13. NatWest
    • 4.1.14. Nomura Securities
    • 4.1.15. ScotiaBank
    • 4.1.16. Standard Chartered
    • 4.1.17. UBS
    • 4.1.18. Wells Fargo
  • 4.2. Key Points from This Chapter

Chapter Five: Quantum Computing Vendors Serving the Finance Vertical

  • 5.1. R&D Activity Overview
  • 5.2. Vendors Focused on Financial Services
    • 5.2.1. QuantFi
    • 5.2.2. JoS QUANTUM
    • 5.2.3. Nordic Quantum Computing Group (NQCG)
    • 5.2.4. Multiverse Computing
    • 5.2.5. Quantum Mads
    • 5.2.6. CogniFrame
    • 5.2.7. QC Ware
  • 5.2.8. 1Qbit
  • 5.3. Ecosystem Vendors Supporting Financial Services Vertical
  • 5.4. Key Points from This Chapter
  • About Inside Quantum Technology
  • About the Analyst
  • Acronyms and Abbreviations Used In this Report

List of Exhibits

  • Exhibit 1-1: Vendor Activities for Safely Crossing the Quantum Computing Chasm
  • Exhibit 2-1: Evolution of Quantum Computing in the Financial Services Sector
  • Exhibit 3-1: Use Case Timeframes for Quantum Computers in Financial Services
  • Exhibit 3-2: Common Derivative Types
  • Exhibit 4-1: SWOT for Quantum Computing in Financial Services
  • Exhibit 4-2: Barclays - Inhibitors to Full-Scale Quantum Computing
  • Exhibit 4-3: BBVA Use Cases and Alliances
  • Exhibit 5-1: QuantFi Use Cases
  • Exhibit 5-2: QC Ware Forge Cloud Hardware Options and Pricing
  • Exhibit 5-3: Ecosystem Vendors Offering Compute Stacks for Financial Services