Blockchain in Banking Sector Market Size, Share, By Component (Platform/Solution and Blockchain as a Service), By Type (Public, Private, Hybris, and Consortium), By Deployment (Proof of Concept, Pilot, and Production), By Application (Digital Identity, Payments, Smart Contracts, Supply Chain Management, Internet of Things (IoT), and Others), By Industry (BFSI, Energy & Utilities, Government, Healthcare and Life Sciences, Manufacturing, Telecom, Media & Entertainment, Retail & Consumer Goods, Travel and Transportation, and Others), and Region - Trends, Analysis and Forecast till 2034

Report Code: PMI456420 | Publish Date: May 2023 | No. of Pages: 176

Global Blockchain In Banking Sector Market Companies

  • International Business Machines Corporation*
    • Company Overview
    • Product Portfolio
    • Key Highlights
    • Financial Performance
    • Business Strategies
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • SAP SE
  • Intel Corporation
  • Oracle Corporation
  • Bitfury USA, Inc.
  • Cegeka NV
  • Earthport plc
  • GuardTime AS
  • Digital Asset Holdings, LLC
  • Chain, Inc.
  • Huawei Technologies Co., Ltd.
  • BlockCypher, Inc.
  • Symbiont.io, Inc.

“*” marked represents similar segmentation in other categories in the respective section.

Recent Developments:

  • In January 2023, Next Bank, a Taiwanese digital bank, went live with Temenos. With Temenos' open platform, Next Bank is empowered to bring products to market rapidly and serve its customers with excellence. In the near future, the bank plans to offer foreign exchange services, including remittance services for migrant workers, as well as investment tools that will help in wealth management. Powered by Temenos, Next Bank has a target of onboarding nearly 300,000 users in just nine months.
  • In December 2022, Wells Fargo rolled out a single, integrated digital banking platform for its corporate investment and commercial banking clients. Interested in this launch as much as any bank would, it hopes to harness artificial intelligence and machine learning to provide tailored corporate and commercial financing solutions to organizations dependent on distinct needs.