Quantum Computing Applications in Financial Services Industry Report 2022 – End User Cases and Market Forecast – ResearchAndMarkets.com | Business app

DUBLIN–(BUSINESS WIRE)–February 11, 2022–

In late 2019, Bank of America claimed that quantum computing “would be as revolutionary in the 2020s as smartphones were in the 2010s.” Goldman Sachs was quoted in January 2020 saying that quantum computing has the potential to become a critical technology in the financial services industry. Other major banks have engaged in quantum computing, including JPMorgan, Citigroup and Wells Fargo, as well as some European and Asian banks. Insurance companies, credit card companies, financial advisers and hedge funds are also interested. Many financial services firms are already hiring large staffs of people experienced in the overlap of quantum technology and financial industry activity.

This report outlines the opportunities, challenges, and deployment options surrounding the application of quantum computing in the financial services industry. It details the role quantum computing plays in portfolio management and construction, currency arbitrage, fraud detection, trade settlements, analytics-based CRM, credit scoring, risk modelling, collection of tax losses and pricing of derivatives. The report also examines the role of quantum computing in accelerating the use of AI and machine learning in the financial services industry.

The report provides a ten-year forecast of what the banking and financial services industry will spend on quantum computing over the next decade, and it discusses the evolution of quantum computing in the financial services industry, current phase from “proof of concept” to widespread use in about ten years. The report examines smaller and cheaper quantum computers that could, for example, be used in small financial institutions and in the role of network computers in transaction networks.

This report concludes with a review of current plans for what the leading full-stack quantum computers are doing in financial services. It also emphasizes the sales strategy to sell the use of quantum computing to banks and other financial institutions.

Chapter One: Background to This Report

1.1 Summary – Quantum Computing in Financial Services

1.2 Putting business ahead of research

1.3 The math is there, the hardware is not

1.4 Methodology of this report

1.4.1 Forecasting methodology

Chapter Two: Quantum Computing in Financial Services: Attitudes and Market Evolution

2.1 Attitudes towards Quantum in the financial services industry

2.2 Market Evolution and Deployment Models of Quantum Computing for Financial Services

2.2.1 A note on the regulation and deployment of quantum computing

2.3 IT Aspects of Quantum Computing Deployment in Financial Services

2.3.3 Impact on coding of a probabilistic approach

2.3.4 Cloud Provisioning Challenges

2.3.5 Batch-like nature of Quantum

2.4 Key points in this chapter

Chapter Three: Quantum Computing in Financial Services – Use Cases

3.1 Use of quantum computing in financial services

3.1.1 Quantum machine learning

3.2.1 High Frequency Trading (HFT)

3.4 Artificial Intelligence/Machine Learning (AI/ML) Acceleration

3.5 Construction of a (static) investment portfolio based on objectives

3.9 Dynamic portfolio management

3.13 Key points in this chapter

Chapter Four: Suppliers and Other Considerations

4.1 Vendor Considerations: The Quantum Computing Industry

4.1.1 Full-stack quantum computers

4.1.2 Access to Quantum Computing Resources

4.2 Sales Strategies of Quantum Computers in Banking and Financial Services

4.3 Cybersecurity in the Financial Services Data Center

4.4 Expenditure on quantum computers

Laura Wood, Senior Press Officer

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SOURCE: Research and Markets

Copyright BusinessWire 2022.

PUBLISHED: 02/11/2022 09:22 AM/DISC: 02/11/2022 09:22 AM

Copyright BusinessWire 2022.