Blockchain, the distributed database technology that help make digital currencies like Bitcoin possible, is more than an enabler of futuristic payment options. Over the next several years, it will help financial services firms slash costs by billions of dollars, according to a new report from BIS Research.
In its forecast on the impact of blockchain on the financial services market through 2026, the firm concluded that organizations can cut the cost of know your customer and anti-money laundering (KYC/AML) operations by $6 billion to $8 billion each year. Those reductions come in the form of fewer investments in IT, infrastructure and administrative personnel, as well as improved operational efficiencies and pouring less money into third-party fees.
The cost savings for other segments of the market are even more pronounced.
In trade finance, blockchain-based solutions can slash costs by $30 billion to $40 billion each year, BIS said. Meanwhile, the capital markets stand to achieve cost savings of $50 billion to $60 billion.
Many types of businesses are exploring blockchain, but fintech (financial technology) companies are leading the charge.
“While the use cases of this technology are largely being explored across different industries such as healthcare, real estate, media and travel, and hospitality among others, the financial institutions have been the front runners in the development of blockchain technology and have already implemented a host of successful use cases, ranging from pre-IPO trading platform released by NASDAQ to cross-border payment platform created by Ripple,” stated BIS Research. “By cutting the middlemen and increasing the efficiency, blockchain is anticipated to cut the transaction and infrastructure costs by over 50 percent for finance companies.”
BIS also noted that some of the world’s largest financial institutions are already working on blockchain deployments, including Barclays, Citibank, Goldman Sachs and J.P. Morgan. Naturally, some IT heavyweights are also using their technological savvy and influence to add momentum to the blockchain in fintech movement.
Last month, IBM announced that its Digital Trade Chain Consortium had selected its IBM Blockchain service for a new a new trade finance platform. The consortium consists of seven large European banks, namely Deutsche Bank, HSBC, KBC, Natixis, Rabobank, Societe Generale and Unicredit. The solution will run on IBM Cloud and use Hyperledger Fabric, an open source blockchain framework.
In February, dozens of technology companies, startups and financial services institutions, including Microsoft, Intel and J.P. Morgan, announced they had joined the Enterprise Ethereum Alliance. The group is tasked with setting standards for secure, enterprise-grade applications and smart contract systems built on Ethereum.
Pedro Hernandez is a contributing editor at Datamation. Follow him on Twitter @ecoINSITE.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.