Artificial Intelligence
The global market for Digital Banking is projected to reach US$22.3 billion by 2025
New York, Sept. 04, 2020 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Digital Banking Industry” – https://www.reportlinker.com/p05817925/?utm_source=GNW
Developments in mobile app ecosystem, secure payment gateways and other digital banking tools are pushing up adoption of mobile banking. Underpinning the digital revolution, a large number of banks will begin offering retail banking services through smart phones, tablets, PCs and smart watches by the year 2022. Convenience has and will remain the key force driving the change in consumer banking habits. Digital banking refers to the end-to-end digitization of a bank and all its activities, functions and programs, right from product development through to customer service. Digital banking not only involves digitizing the services and products of a bank at front
but also entails automating the banking processes at the back-end and connecting the front-end and back-end silos with proper middleware. Digital banking therefore emphasizes a complete transformation to a digital environment, including front-end and back-end and everything in between, at both bank customer as well as employee level. In the digital bank ecosystem, web based platforms functioning along with process automation tools and cross institutional service embedded with APIs, strive to deliver complete line of banking solutions and carry out online transactions in a seamless and cohesive manner. To ensure a comprehensive workflow and to improve and enhance the customer’s experience, the digital bank environment embraces all the new technologies including big data, Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP) and analytics. Digital banking offers numerous benefits to banking entities as well as banking customers. Key benefits offered by digital banking include cost savings, increased accuracy, business efficiency, greater agility, improved competitiveness, and enhanced security.
Supportive government initiatives and policies and emergence of new and innovative technologies on an ongoing basis constitute other major drivers for the market. A growing number of banking & financial service firms are moving towards digital platforms to offer their services acknowledging the high penetration rate of internet and Internet-connected devices such as smart phones. The rapidly increasing speed, bandwidth, storage capacity and on-demand computing capabilities offered by the Internet is fueling banking entities to shift towards online business models, emphasizing transactions and payments through debit and credit cards and third party providers such as PayPal. With mobile Internet services providing access to various online portals and banking apps on-the-go, customers are now able to access online banking portals and make instantaneous transactions through online banking and debit/credit card credentials. At the same time, intense pressure on banking firms to minimize operating costs in order to stay competitive is also having a major bearing on uptake of digital banking solutions. Digital banking continues to gain traction among banking firms by enabling them to keep systems up-to-date, offer modified services at minimal costs and an improved customer experience. Banking entities are also leaning towards digital solutions amid rapidly rising demand for non-transactional services due to the ease of operation and cost-effectiveness of such services.
Read the full report: https://www.reportlinker.com/p05817925/?utm_source=GNW
I. INTRODUCTION, METHODOLOGY & REPORT SCOPE
II. EXECUTIVE SUMMARY
1. MARKET OVERVIEW
An Introduction to Digital Banking
Digital Banking: Current Market Scenario and Outlook
Analysis by Technology Type
Cloud-Based Solutions: Largest & Fastest Growing Technology Type
Baas & BaaP Emerge to Drive Next Wave of Growth in Digital Banking
White Label Banking: Niche Segment
Chatbots Seek Prominent Role
Competitive Scenario
Major Players in the Digital Banking Market
Recent Market Activity
Impact of Covid-19 and a Looming Global Recession
2. FOCUS ON SELECT PLAYERS
Appway AG (Switzerland)
Backbase (Netherlands)
EdgeVerve Systems Limited (India)
Fidor Solutions AG (Germany)
Fiserv, Inc. (USA)
NETinfo PLC (Cyprus)
NF Innova (Austria)
Oracle Corporation (USA)
SAP AG (Germany)
Tata Consultancy Services Limited (India)
Technisys (USA)
Temenos Group AG (Switzerland)
3. MARKET TRENDS & DRIVERS
In This Age of Digitalization, Digital Banking Acquires
Significance
Global Digital Transformation Opportunity (In US$ Billion) for
the Years 2019, 2021 and 2023
The Healthy Internet Economy Creates Fertile Ground for Digital
Banking Market
Global Internet Users in Billion for the Years 2014 through 2020
Increasing Use of Smartphones Encourages Adoption of Digital
Banking
Smartphone Users as % of Global Population for the Period 2018-
2022
Rapid 4G LTE Penetration Provides the Platform for Future Growth
Developments in Mobile Wallet & Payment Apps Bode Well
Global Efforts to Go Cashless Instigates Broad-based Opportunities
Global Non-Cash Transactions in Billion by Geographic Region
for the Years 2016 and 2020
The Rise of Customer Self-Service Tilts Digital Banking
Technologies into the Mass Adoption Stage
Rapid Growth in eCommerce and mCommerce Spurs Consumer Appetite
for Digital Banking
Global B2C E-Commerce Sales in US$ Trillion for the Years 2017,
2019, 2021 and 2023
Global E-Commerce Market as a % of Retail Sales for the Period
2017-2023
Leading Retail E-Commerce Countries Worldwide: Ranked by Sales
(in $ Billion) for the Year 2019
Global Retail M-Commerce Market: Sales in $ Trillion for the
Years 2017, 2019, 2021 and 2023
AI & ML Come to the Fore to Reinforce Digital Banking Ecosystem
Millennials: Key Demographic Steering Adoption of Digital Banking
Growing Focus on Environmental Sustainability to Benefit
Digital Banking
Developments in Internet Security: Primary Compulsion for
Market Expansion
4. GLOBAL MARKET PERSPECTIVE
Table 1: World Current & Future Analysis for Digital Banking by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Billion for Years 2020 through 2027
Table 2: World 7-Year Perspective for Digital Banking by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World Markets for Years 2020 & 2027
Table 3: World Current & Future Analysis for Retail Banking by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Billion for Years 2020 through 2027
Table 4: World 7-Year Perspective for Retail Banking by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2020 & 2027
Table 5: World Current & Future Analysis for Corporate Banking
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Billion for Years 2020 through 2027
Table 6: World 7-Year Perspective for Corporate Banking by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2020 & 2027
Table 7: World Current & Future Analysis for Investment Banking
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Billion for Years 2020 through 2027
Table 8: World 7-Year Perspective for Investment Banking by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2020 & 2027
Table 9: World Current & Future Analysis for Payments by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Billion for Years 2020 through 2027
Table 10: World 7-Year Perspective for Payments by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2020 & 2027
Table 11: World Current & Future Analysis for Processing
Services by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Sales in US$ Billion for Years 2020 through
2027
Table 12: World 7-Year Perspective for Processing Services by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2020 & 2027
Table 13: World Current & Future Analysis for Customer &
Channel Management by Geographic Region – USA, Canada, Japan,
China, Europe, Asia-Pacific and Rest of World Markets –
Independent Analysis of Annual Sales in US$ Billion for Years
2020 through 2027
Table 14: World 7-Year Perspective for Customer & Channel
Management by Geographic Region – Percentage Breakdown of Value
Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and
Rest of World for Years 2020 & 2027
Table 15: World Current & Future Analysis for Risk Management
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Billion for Years 2020 through 2027
Table 16: World 7-Year Perspective for Risk Management by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2020 & 2027
Table 17: World Current & Future Analysis for Other Solutions
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Billion for Years 2020 through 2027
Table 18: World 7-Year Perspective for Other Solutions by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2020 & 2027
Table 19: World Current & Future Analysis for Cloud-Based by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Billion for Years 2020 through 2027
Table 20: World 7-Year Perspective for Cloud-Based by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2020 & 2027
Table 21: World Current & Future Analysis for BaaS by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Billion for Years 2020 through 2027
Table 22: World 7-Year Perspective for BaaS by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2020 & 2027
Table 23: World Current & Future Analysis for BaaP by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Billion for Years 2020 through 2027
Table 24: World 7-Year Perspective for BaaP by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2020 & 2027
Table 25: World Current & Future Analysis for White Label
Banking by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Sales in US$ Billion for Years 2020 through
2027
Table 26: World 7-Year Perspective for White Label Banking by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2020 & 2027
Table 27: World Current & Future Analysis for Chatbots by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Billion for Years 2020 through 2027
Table 28: World 7-Year Perspective for Chatbots by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2020 & 2027
III. MARKET ANALYSIS
GEOGRAPHIC MARKET ANALYSIS
UNITED STATES
The United States: Major Market for Digital Banking Technologies
Market Analytics
Table 29: USA Current & Future Analysis for Digital Banking by
Type – Retail Banking, Corporate Banking and Investment Banking –
Independent Analysis of Annual Sales in US$ Billion for the
Years 2020 through 2027
Table 30: USA 7-Year Perspective for Digital Banking by Type –
Percentage Breakdown of Value Sales for Retail Banking,
Corporate Banking and Investment Banking for the Years 2020 &
2027
Table 31: USA Current & Future Analysis for Digital Banking by
Solution – Payments, Processing Services, Customer & Channel
Management, Risk Management and Other Solutions – Independent
Analysis of Annual Sales in US$ Billion for the Years 2020
through 2027
Table 32: USA 7-Year Perspective for Digital Banking by
Solution – Percentage Breakdown of Value Sales for Payments,
Processing Services, Customer & Channel Management, Risk
Management and Other Solutions for the Years 2020 & 2027
Table 33: USA Current & Future Analysis for Digital Banking by
Technology – Cloud-Based, BaaS, BaaP, White Label Banking and
Chatbots – Independent Analysis of Annual Sales in US$ Billion
for the Years 2020 through 2027
Table 34: USA 7-Year Perspective for Digital Banking by
Technology – Percentage Breakdown of Value Sales for
Cloud-Based, BaaS, BaaP, White Label Banking and Chatbots for
the Years 2020 & 2027
CANADA
Table 35: Canada Current & Future Analysis for Digital Banking
by Type – Retail Banking, Corporate Banking and Investment
Banking – Independent Analysis of Annual Sales in US$ Billion
for the Years 2020 through 2027
Table 36: Canada 7-Year Perspective for Digital Banking by Type –
Percentage Breakdown of Value Sales for Retail Banking,
Corporate Banking and Investment Banking for the Years 2020 &
2027
Table 37: Canada Current & Future Analysis for Digital Banking
by Solution – Payments, Processing Services, Customer & Channel
Management, Risk Management and Other Solutions – Independent
Analysis of Annual Sales in US$ Billion for the Years 2020
through 2027
Table 38: Canada 7-Year Perspective for Digital Banking by
Solution – Percentage Breakdown of Value Sales for Payments,
Processing Services, Customer & Channel Management, Risk
Management and Other Solutions for the Years 2020 & 2027
Table 39: Canada Current & Future Analysis for Digital Banking
by Technology – Cloud-Based, BaaS, BaaP, White Label Banking
and Chatbots – Independent Analysis of Annual Sales in US$
Billion for the Years 2020 through 2027
Table 40: Canada 7-Year Perspective for Digital Banking by
Technology – Percentage Breakdown of Value Sales for
Cloud-Based, BaaS, BaaP, White Label Banking and Chatbots for
the Years 2020 & 2027
JAPAN
Table 41: Japan Current & Future Analysis for Digital Banking
by Type – Retail Banking, Corporate Banking and Investment
Banking – Independent Analysis of Annual Sales in US$ Billion
for the Years 2020 through 2027
Table 42: Japan 7-Year Perspective for Digital Banking by Type –
Percentage Breakdown of Value Sales for Retail Banking,
Corporate Banking and Investment Banking for the Years 2020 &
2027
Table 43: Japan Current & Future Analysis for Digital Banking
by Solution – Payments, Processing Services, Customer & Channel
Management, Risk Management and Other Solutions – Independent
Analysis of Annual Sales in US$ Billion for the Years 2020
through 2027
Table 44: Japan 7-Year Perspective for Digital Banking by
Solution – Percentage Breakdown of Value Sales for Payments,
Processing Services, Customer & Channel Management, Risk
Management and Other Solutions for the Years 2020 & 2027
Table 45: Japan Current & Future Analysis for Digital Banking
by Technology – Cloud-Based, BaaS, BaaP, White Label Banking
and Chatbots – Independent Analysis of Annual Sales in US$
Billion for the Years 2020 through 2027
Table 46: Japan 7-Year Perspective for Digital Banking by
Technology – Percentage Breakdown of Value Sales for
Cloud-Based, BaaS, BaaP, White Label Banking and Chatbots for
the Years 2020 & 2027
CHINA
Table 47: China Current & Future Analysis for Digital Banking
by Type – Retail Banking, Corporate Banking and Investment
Banking – Independent Analysis of Annual Sales in US$ Billion
for the Years 2020 through 2027
Table 48: China 7-Year Perspective for Digital Banking by Type –
Percentage Breakdown of Value Sales for Retail Banking,
Corporate Banking and Investment Banking for the Years 2020 &
2027
Table 49: China Current & Future Analysis for Digital Banking
by Solution – Payments, Processing Services, Customer & Channel
Management, Risk Management and Other Solutions – Independent
Analysis of Annual Sales in US$ Billion for the Years 2020
through 2027
Table 50: China 7-Year Perspective for Digital Banking by
Solution – Percentage Breakdown of Value Sales for Payments,
Processing Services, Customer & Channel Management, Risk
Management and Other Solutions for the Years 2020 & 2027
Table 51: China Current & Future Analysis for Digital Banking
by Technology – Cloud-Based, BaaS, BaaP, White Label Banking
and Chatbots – Independent Analysis of Annual Sales in US$
Billion for the Years 2020 through 2027
Table 52: China 7-Year Perspective for Digital Banking by
Technology – Percentage Breakdown of Value Sales for
Cloud-Based, BaaS, BaaP, White Label Banking and Chatbots for
the Years 2020 & 2027
EUROPE
Table 53: Europe Current & Future Analysis for Digital Banking
by Geographic Region – France, Germany, Italy, UK and Rest of
Europe Markets – Independent Analysis of Annual Sales in US$
Billion for Years 2020 through 2027
Table 54: Europe 7-Year Perspective for Digital Banking by
Geographic Region – Percentage Breakdown of Value Sales for
France, Germany, Italy, UK and Rest of Europe Markets for Years
2020 & 2027
Table 55: Europe Current & Future Analysis for Digital Banking
by Type – Retail Banking, Corporate Banking and Investment
Banking – Independent Analysis of Annual Sales in US$ Billion
for the Years 2020 through 2027
Table 56: Europe 7-Year Perspective for Digital Banking by Type –
Percentage Breakdown of Value Sales for Retail Banking,
Corporate Banking and Investment Banking for the Years 2020 &
2027
Table 57: Europe Current & Future Analysis for Digital Banking
by Solution – Payments, Processing Services, Customer & Channel
Management, Risk Management and Other Solutions – Independent
Analysis of Annual Sales in US$ Billion for the Years 2020
through 2027
Table 58: Europe 7-Year Perspective for Digital Banking by
Solution – Percentage Breakdown of Value Sales for Payments,
Processing Services, Customer & Channel Management, Risk
Management and Other Solutions for the Years 2020 & 2027
Table 59: Europe Current & Future Analysis for Digital Banking
by Technology – Cloud-Based, BaaS, BaaP, White Label Banking
and Chatbots – Independent Analysis of Annual Sales in US$
Billion for the Years 2020 through 2027
Table 60: Europe 7-Year Perspective for Digital Banking by
Technology – Percentage Breakdown of Value Sales for
Cloud-Based, BaaS, BaaP, White Label Banking and Chatbots for
the Years 2020 & 2027
FRANCE
Table 61: France Current & Future Analysis for Digital Banking
by Type – Retail Banking, Corporate Banking and Investment
Banking – Independent Analysis of Annual Sales in US$ Billion
for the Years 2020 through 2027
Table 62: France 7-Year Perspective for Digital Banking by Type –
Percentage Breakdown of Value Sales for Retail Banking,
Corporate Banking and Investment Banking for the Years 2020 &
2027
Table 63: France Current & Future Analysis for Digital Banking
by Solution – Payments, Processing Services, Customer & Channel
Management, Risk Management and Other Solutions – Independent
Analysis of Annual Sales in US$ Billion for the Years 2020
through 2027
Table 64: France 7-Year Perspective for Digital Banking by
Solution – Percentage Breakdown of Value Sales for Payments,
Processing Services, Customer & Channel Management, Risk
Management and Other Solutions for the Years 2020 & 2027
Table 65: France Current & Future Analysis for Digital Banking
by Technology – Cloud-Based, BaaS, BaaP, White Label Banking
and Chatbots – Independent Analysis of Annual Sales in US$
Billion for the Years 2020 through 2027
Table 66: France 7-Year Perspective for Digital Banking by
Technology – Percentage Breakdown of Value Sales for
Cloud-Based, BaaS, BaaP, White Label Banking and Chatbots for
the Years 2020 & 2027
GERMANY
Table 67: Germany Current & Future Analysis for Digital Banking
by Type – Retail Banking, Corporate Banking and Investment
Banking – Independent Analysis of Annual Sales in US$ Billion
for the Years 2020 through 2027
Table 68: Germany 7-Year Perspective for Digital Banking by
Type – Percentage Breakdown of Value Sales for Retail Banking,
Corporate Banking and Investment Banking for the Years 2020 &
2027
Table 69: Germany Current & Future Analysis for Digital Banking
by Solution – Payments, Processing Services, Customer & Channel
Management, Risk Management and Other Solutions – Independent
Analysis of Annual Sales in US$ Billion for the Years 2020
through 2027
Table 70: Germany 7-Year Perspective for Digital Banking by
Solution – Percentage Breakdown of Value Sales for Payments,
Processing Services, Customer & Channel Management, Risk
Management and Other Solutions for the Years 2020 & 2027
Table 71: Germany Current & Future Analysis for Digital Banking
by Technology – Cloud-Based, BaaS, BaaP, White Label Banking
and Chatbots – Independent Analysis of Annual Sales in US$
Billion for the Years 2020 through 2027
Table 72: Germany 7-Year Perspective for Digital Banking by
Technology – Percentage Breakdown of Value Sales for
Cloud-Based, BaaS, BaaP, White Label Banking and Chatbots for
the Years 2020 & 2027
ITALY
Table 73: Italy Current & Future Analysis for Digital Banking
by Type – Retail Banking, Corporate Banking and Investment
Banking – Independent Analysis of Annual Sales in US$ Billion
for the Years 2020 through 2027
Table 74: Italy 7-Year Perspective for Digital Banking by Type –
Percentage Breakdown of Value Sales for Retail Banking,
Corporate Banking and Investment Banking for the Years 2020 &
2027
Table 75: Italy Current & Future Analysis for Digital Banking
by Solution – Payments, Processing Services, Customer & Channel
Management, Risk Management and Other Solutions – Independent
Analysis of Annual Sales in US$ Billion for the Years 2020
through 2027
Table 76: Italy 7-Year Perspective for Digital Banking by
Solution – Percentage Breakdown of Value Sales for Payments,
Processing Services, Customer & Channel Management, Risk
Management and Other Solutions for the Years 2020 & 2027
Table 77: Italy Current & Future Analysis for Digital Banking
by Technology – Cloud-Based, BaaS, BaaP, White Label Banking
and Chatbots – Independent Analysis of Annual Sales in US$
Billion for the Years 2020 through 2027
Table 78: Italy 7-Year Perspective for Digital Banking by
Technology – Percentage Breakdown of Value Sales for
Cloud-Based, BaaS, BaaP, White Label Banking and Chatbots for
the Years 2020 & 2027
UNITED KINGDOM
Table 79: UK Current & Future Analysis for Digital Banking by
Type – Retail Banking, Corporate Banking and Investment Banking –
Independent Analysis of Annual Sales in US$ Billion for the
Years 2020 through 2027
Table 80: UK 7-Year Perspective for Digital Banking by Type –
Percentage Breakdown of Value Sales for Retail Banking,
Corporate Banking and Investment Banking for the Years 2020 &
2027
Table 81: UK Current & Future Analysis for Digital Banking by
Solution – Payments, Processing Services, Customer & Channel
Management, Risk Management and Other Solutions – Independent
Analysis of Annual Sales in US$ Billion for the Years 2020
through 2027
Table 82: UK 7-Year Perspective for Digital Banking by Solution –
Percentage Breakdown of Value Sales for Payments, Processing
Services, Customer & Channel Management, Risk Management and
Other Solutions for the Years 2020 & 2027
Table 83: UK Current & Future Analysis for Digital Banking by
Technology – Cloud-Based, BaaS, BaaP, White Label Banking and
Chatbots – Independent Analysis of Annual Sales in US$ Billion
for the Years 2020 through 2027
Table 84: UK 7-Year Perspective for Digital Banking by
Technology – Percentage Breakdown of Value Sales for
Cloud-Based, BaaS, BaaP, White Label Banking and Chatbots for
the Years 2020 & 2027
REST OF EUROPE
Table 85: Rest of Europe Current & Future Analysis for Digital
Banking by Type – Retail Banking, Corporate Banking and
Investment Banking – Independent Analysis of Annual Sales in
US$ Billion for the Years 2020 through 2027
Table 86: Rest of Europe 7-Year Perspective for Digital Banking
by Type – Percentage Breakdown of Value Sales for Retail
Banking, Corporate Banking and Investment Banking for the Years
2020 & 2027
Table 87: Rest of Europe Current & Future Analysis for Digital
Banking by Solution – Payments, Processing Services, Customer &
Channel Management, Risk Management and Other Solutions –
Independent Analysis of Annual Sales in US$ Billion for the
Years 2020 through 2027
Table 88: Rest of Europe 7-Year Perspective for Digital Banking
by Solution – Percentage Breakdown of Value Sales for Payments,
Processing Services, Customer & Channel Management, Risk
Management and Other Solutions for the Years 2020 & 2027
Table 89: Rest of Europe Current & Future Analysis for Digital
Banking by Technology – Cloud-Based, BaaS, BaaP, White Label
Banking and Chatbots – Independent Analysis of Annual Sales in
US$ Billion for the Years 2020 through 2027
Table 90: Rest of Europe 7-Year Perspective for Digital Banking
by Technology – Percentage Breakdown of Value Sales for
Cloud-Based, BaaS, BaaP, White Label Banking and Chatbots for
the Years 2020 & 2027
ASIA-PACIFIC
Table 91: Asia-Pacific Current & Future Analysis for Digital
Banking by Type – Retail Banking, Corporate Banking and
Investment Banking – Independent Analysis of Annual Sales in
US$ Billion for the Years 2020 through 2027
Table 92: Asia-Pacific 7-Year Perspective for Digital Banking
by Type – Percentage Breakdown of Value Sales for Retail
Banking, Corporate Banking and Investment Banking for the Years
2020 & 2027
Table 93: Asia-Pacific Current & Future Analysis for Digital
Banking by Solution – Payments, Processing Services, Customer &
Channel Management, Risk Management and Other Solutions –
Independent Analysis of Annual Sales in US$ Billion for the
Years 2020 through 2027
Table 94: Asia-Pacific 7-Year Perspective for Digital Banking
by Solution – Percentage Breakdown of Value Sales for Payments,
Processing Services, Customer & Channel Management, Risk
Management and Other Solutions for the Years 2020 & 2027
Table 95: Asia-Pacific Current & Future Analysis for Digital
Banking by Technology – Cloud-Based, BaaS, BaaP, White Label
Banking and Chatbots – Independent Analysis of Annual Sales in
US$ Billion for the Years 2020 through 2027
Table 96: Asia-Pacific 7-Year Perspective for Digital Banking
by Technology – Percentage Breakdown of Value Sales for
Cloud-Based, BaaS, BaaP, White Label Banking and Chatbots for
the Years 2020 & 2027
REST OF WORLD
Table 97: Rest of World Current & Future Analysis for Digital
Banking by Type – Retail Banking, Corporate Banking and
Investment Banking – Independent Analysis of Annual Sales in
US$ Billion for the Years 2020 through 2027
Table 98: Rest of World 7-Year Perspective for Digital Banking
by Type – Percentage Breakdown of Value Sales for Retail
Banking, Corporate Banking and Investment Banking for the Years
2020 & 2027
Table 99: Rest of World Current & Future Analysis for Digital
Banking by Solution – Payments, Processing Services, Customer &
Channel Management, Risk Management and Other Solutions –
Independent Analysis of Annual Sales in US$ Billion for the
Years 2020 through 2027
Table 100: Rest of World 7-Year Perspective for Digital Banking
by Solution – Percentage Breakdown of Value Sales for Payments,
Processing Services, Customer & Channel Management, Risk
Management and Other Solutions for the Years 2020 & 2027
Table 101: Rest of World Current & Future Analysis for Digital
Banking by Technology – Cloud-Based, BaaS, BaaP, White Label
Banking and Chatbots – Independent Analysis of Annual Sales in
US$ Billion for the Years 2020 through 2027
Table 102: Rest of World 7-Year Perspective for Digital Banking
by Technology – Percentage Breakdown of Value Sales for
Cloud-Based, BaaS, BaaP, White Label Banking and Chatbots for
the Years 2020 & 2027
IV. COMPETITION
Total Companies Profiled: 59
Read the full report: https://www.reportlinker.com/p05817925/?utm_source=GNW
About Reportlinker
ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need – instantly, in one place.
__________________________
Clare: [email protected] US: (339)-368-6001 Intl: +1 339-368-6001
Artificial Intelligence
LambdaTest launches LambdaTest extension for GitHub Copilot to make test automation pervasive across SDLC and drive developer productivity
NOIDA, India and SAN FRANCISCO, May 22, 2024 /PRNewswire/ — LambdaTest extension for GitHub Copilot enables AI-powered bridge experiences by seamlessly integrating test and dev workflow. It acts as a test automation copilot, assisting developers with quality assurance capabilities across different stages in SDLC, right where they code.
May 22, 2024, Noida/San Francisco: LambdaTest, a leading cloud-based unified testing platform, announced the launch of the LambdaTest extension for GitHub Copilot. This innovative capability revolutionizes the way developers manage and execute test workflows within their integrated development environments (IDEs).
The LambdaTest extension seamlessly integrates with GitHub Copilot Chat bridging the gap between development and testing workflows. Developers can now trigger test execution directly from their GitHub and VS Code environment, eliminating the need to switch between multiple applications. This streamlined process enhances productivity and accelerates software delivery.
With LambdaTest extension, developers can initiate tests effortlessly with a simple command, bringing testing closer to their code. This capability not only saves time but also enhances collaboration among development and testing teams by providing a unified platform for managing quality software releases, faster.
Moreover, real-time feedback integrated into GitHub Copilot empowers developers to iterate more efficiently, at speed, ensuring the quality and stability of their codebase. By conveniently viewing regression run results within their coding environment, developers and testers can quickly identify and address potential issues or bugs, facilitating faster resolution and delivery of high-quality software.
“LambdaTest Extension for GitHub Copilot is a huge milestone in our commitment to enable devs and QA processionals worldwide with frictionless experiences to accelerate software delivery.,” said Mohit Juneja, VP, Strategic Sales and Partnerships, LambdaTest. “Gone are the days of switching between multiple applications; now, developers can design, trigger, and analyze tests with simple prompts in natural language, without switching context from the IDE.”
The benefits of the LambdaTest extension extend beyond just test execution. It also offers powerful analysis tools, allowing developers to dive deep into test data, identify trends, and make data-driven decisions to continuously improve code quality and stability.
LambdaTest remains committed to driving innovation in the field of software testing, and this capability is another testament to that commitment. By providing developers and testers with tools to streamline processes and deliver high-quality software efficiently, LambdaTest continues to support and empower software development teams worldwide.
The LambdaTest extension for GitHub Copilot is now available for developers and testers. To learn more and get started, visit https://github.blog/2024-05-21-introducing-github-copilot-extensions
About LambdaTest LambdaTest is an intelligent and omnichannel enterprise execution environment that helps businesses drastically reduce time to market through Just in Time Test Orchestration (JITTO), ensuring quality releases and accelerated digital transformation. Over 10,000+ enterprise customers and 2+ million users across 130+ countries rely on LambdaTest for their testing needs.
Browser & App Testing Cloud allows users to run both manual and automated tests of web and mobile apps across 3000+ different browsers, real devices, and operating system environments.HyperExecute helps customers run and orchestrate test grids in the cloud for any framework and programming language at blazing-fast speeds to cut down on quality test time, helping developers build software faster.For more information, please visit, https://lambdatest.com
Logo – https://mma.prnewswire.com/media/1721228/Lambda_Test_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/lambdatest-launches-lambdatest-extension-for-github-copilot-to-make-test-automation-pervasive-across-sdlc-and-drive-developer-productivity-302153117.html
Artificial Intelligence
DeepL announces $300 million investment at $2 billion valuation fueled by global demand for AI language solutions
Index Ventures led heavily oversubscribed round with participation from late-stage investment firms ICONIQ Growth, Teachers’ Venture Growth, and more Rapid enterprise adoption of DeepL has fueled the company’s growth in 60+ global markets for 100,000+ businesses, governments, and other organizationsDeepL’s Language AI Platform for business provides category-leading AI-powered translation and writing solutions COLOGNE, Germany, May 22, 2024 /PRNewswire/ — DeepL, a leading Language AI company, today announced $300 million of investment at a $2 billion valuation. Led by Index Ventures, the heavily oversubscribed round attracted strong support from new investors, who will bring their extensive expertise, connections, and resources to support DeepL’s growth and long-term vision to transform the way companies communicate around the world. Additional late-stage investors, including ICONIQ Growth, Teachers’ Venture Growth, and others, also participated, along with existing investors IVP, Atomico, and WiL.
“We’re approaching an inflection point in the AI boom where businesses who are racing to adopt the technology begin to discern between hype versus solutions that are secure and actually solve real problems in their business,” said Jarek Kutylowski, founder and CEO of DeepL. “This new investment comes during what is on track to be DeepL’s most transformative year yet and is a testament to the crucial role that our Language AI platform has in solving the complex linguistic challenges global companies face today. We’re highly focused on continued growth and innovation to expand our solutions and ensure they remain industry-leading in terms of quality, precision, and security. This will bring us closer to a future where every company, regardless of location, can operate seamlessly on a global scale with our AI.”
The new investment comes during a period of significant growth and momentum for DeepL, which has amassed a customer network of 100,000+ businesses, governments, and other organizations worldwide. This network includes Zendesk, Nikkei, Coursera, and Deutsche Bahn, who rely on its highly accurate and secure enterprise Language AI platform to deliver seamless communication, driving international growth and cost savings. In response to surging demand from global enterprises, DeepL has accelerated its expansion efforts and strategic investments into key markets over the past year. In January 2024, DeepL deepened its commitment to the U.S.—now its third largest market—by opening its first office in the region. The company continues to expand its team in the U.S. to support growing demand.
Within the last 12 months, DeepL has also substantially broadened its product offerings tailored for businesses. In April 2024, the company launched DeepL Write Pro, a writing assistant specifically tailored for business writing, powered by its own proprietary LLM technology. The company also continues to expand the range of languages supported by its platform with the recent additions of Arabic, as well as Korean and Norwegian, bringing its total number of languages to 32.
“DeepL’s runaway success is a bit of an ‘open secret’ in the business community,” said Danny Rimer, who led the investment from Index Ventures. “The company is exceptionally thoughtful about creating cutting-edge AI products that deliver real and immediate value to their customers. Jarek and the rest of the DeepL team are equally research and commercially minded – both of which are key to the company’s success.” Index Ventures is recognized for its investments in highly successful SaaS businesses like Figma, Slack, Wiz, and Scale AI.
Demand for AI solutions among global enterprises is on the rise. A recent IBM study found that 42% are already actively deploying AI and 40% are exploring its potential. Within this rapidly evolving landscape, DeepL is leading the way in applying AI to transform the $67.9 billion language industry, which is projected to grow to $95.3 billion by 2028.
Since its inception in 2017, DeepL has become the Language AI provider of choice for businesses across multiple industries including manufacturing, legal, retail, healthcare, technology, and professional services. The company’s specialized Language AI platform has become a critical investment for global businesses today, addressing a variety of communication challenges ranging from internal communications to customer support and international market expansion. Unlike general-purpose AI systems, DeepL’s cutting-edge translation and writing solutions rely on specialized AI models specifically tuned for language, resulting in more precise translations for a variety of use cases and a reduced risk of hallucinations and misinformation. In business translation and writing, accuracy is paramount, making specialized AI models the most reliable and preferred solution for language challenges.
DeepL’s Language AI platform is also proven to drive significant cost savings and efficiencies. A 2024 Forrester study revealed that the use of DeepL delivered 345% ROI for global companies, reducing translation time by 90% and driving a 50% in workload reduction, underscoring, in our opinion, the power of its platform for businesses looking to grow their revenue and enter new markets faster and at scale.
“At Zendesk we see first hand the power of infusing AI tools into customer experience, and DeepL’s industry-leading translation is a prime example,” said Adrian McDermott, CTO, Zendesk. “The ability to have accurate AI translation allows companies from startups to large enterprises the ability to scale globally, reaching prospects and existing customers in new ways. Zendesk’s open and flexible platform allows for seamless partnerships, and the tangible results we’ve seen so far from joint customers have us looking forward to continued work with DeepL.”
Looking ahead, DeepL will continue to invest in research and product innovation to strengthen its suite of leading AI communication tools for businesses. The company is also doubling down on global market expansion and talent recruitment across multiple areas including AI research, product, engineering, and GTM.
About DeepLDeepL is on a mission to break down language barriers for businesses everywhere. Over 100,000 businesses, governments and other organizations and millions of individuals in 63 global markets trust DeepL’s Language AI platform for human-like translation and better writing. Designed with enterprise security in mind, companies around the world leverage DeepL’s AI solutions that are specifically tuned for language to transform business communications, expand markets and improve productivity. Founded in 2017 by CEO Jaroslaw (Jarek) Kutylowski, DeepL today has over 900 passionate employees and is supported by world-renowned investors including Benchmark, IVP and Index Ventures.
Contact:Sebastian RiesOpeners [email protected]+49 1578 058 8488
Logo – https://mma.prnewswire.com/media/2419636/DeepL_Logo.jpg
View original content to download multimedia:https://www.prnewswire.co.uk/news-releases/deepl-announces-300-million-investment-at-2-billion-valuation-fueled-by-global-demand-for-ai-language-solutions-302153042.html
Artificial Intelligence
Hyundai Motor and Plus Announce Collaboration to Demonstrate First Level 4 Autonomous Fuel Cell Electric Truck in the U.S.
Hyundai Motor and Plus collaboration aims to enhance road safety and freight efficiencies by demonstrating benefits of XCIENT Fuel Cell truck equipped with Plus’s Level 4 autonomous driving softwareHyundai Motor’s Class 8 XCIENT Fuel Cell truck featuring Plus’s Level 4 SuperDrive™ system is on display at the Plus ACT Expo booth (#2044)LAS VEGAS and SEOUL, South Korea, May 22, 2024 /PRNewswire/ — Hyundai Motor Company (Hyundai Motor) and autonomous driving software leader Plus today unveiled the first Level 4 autonomous Class 8 hydrogen fuel cell electric truck in the U.S. at the Advanced Clean Transportation (ACT) Expo, the largest advanced clean transportation technology and fleet event in North America.
A result of the collaboration between Hyundai Motor and Plus, Hyundai Motor’s XCIENT Fuel Cell truck, equipped with Plus SuperDrive™ Level 4 autonomous driving technology, is on display at the Plus ACT Expo booth (#2044).
The Level 4 autonomous XCIENT Fuel Cell truck is undergoing initial autonomous driving assessments in the U.S., making it the first-ever Level 4 self-driving test on a Class 8 fuel cell electric truck to take place in the country. The collaboration seeks to show that autonomous hydrogen fuel cell trucks can help make trucking safer, more efficient, and more sustainable.
“We are excited to showcase our collaboration with Plus to test Level 4 autonomous driving technology with our Class 8 XCIENT Fuel Cell truck,” said Martin Zeilinger, Executive Vice President and Head of Commercial Vehicle Development at Hyundai. “Hyundai Motor has been driving the energy transition paradigm with our advanced fuel cell technologies. By adding autonomous capabilities to our world’s first mass-produced hydrogen-powered XCIENT Fuel Cell truck, Hyundai is looking forward to providing fleets and vehicle operators additional solutions that enhance road safety and freight efficiencies thanks to Plus’s industry-leading autonomous driving technology.”
First introduced in 2020, Hyundai Motor’s XCIENT Fuel Cell truck has conducted commercial operations in eight countries worldwide, establishing a successful track record of real-world applications and technological reliability.
At last year’s ACT Expo, Hyundai introduced XCIENT Fuel Cell tractor, the commercialized Class 8 6×4 fuel cell electric model, powered by two 90kW hydrogen fuel cell systems and a 350kW e-motor, providing a driving range of over 450 miles per charge even when fully loaded.
Plus’s SuperDrive™ solution is being deployed across the U.S., Europe, and Australia. The system uses a combination of cutting-edge sensors, including LiDAR, radar and cameras, to provide surround perception, planning, prediction and self-driving capabilities.
“We are thrilled to collaborate with Hyundai Motor Company on this important initiative to create more sustainable and safe transportation options. A decarbonized future with autonomous hydrogen fuel cell electric trucks that also improve safety and efficiency is one that Plus is proud to support with our cutting-edge autonomous driving technology,” said Shawn Kerrigan, COO and Co-Founder at Plus.
Hyundai Motor and Plus have released a video highlighting their collaboration, which can be seen here: https://www.youtube.com/watch?v=_d19h_v7abo.
About Hyundai Motor Company
More information about Hyundai Motor and its products can be found at: https://www.hyundai.com/worldwide/en/ or Newsroom: Media Hub by Hyundai
About Plus
For more information, visit http://www.plus.ai/.
Photo – https://mma.prnewswire.com/media/2417773/2___Image__Hyundai_Motor_and_Plus_Announce_Collaboration_to_Demonstrate_First_Level_4_Autonomous_Fue.jpg
View original content:https://www.prnewswire.co.uk/news-releases/hyundai-motor-and-plus-announce-collaboration-to-demonstrate-first-level-4-autonomous-fuel-cell-electric-truck-in-the-us-302151236.html
-
Artificial Intelligence6 days ago
Japan Data Center Market Investment to Reach $14.48 Billion by 2028 – Watch Out Exclusive Insight on Japan & Hong Kong Data Center Market – Arizton
-
Uncategorized5 days ago
Coca-Cola: The future is ‘AI meets human ingenuity’
-
Artificial Intelligence6 days ago
Strava Unveils New Chapter of Accelerated Product Development at Brand’s Flagship Event
-
Artificial Intelligence5 days ago
More than $9 Million Awarded to High School Scientists and Engineers at the Regeneron International Science and Engineering Fair 2024
-
Artificial Intelligence6 days ago
Data Center Colocation Market Worth USD 58.4 Billion to 2031 – Exclusive Report by InsightAce Analytic Pvt. Ltd.
-
Uncategorized5 days ago
The rise of intelligent automation as a strategic differentiator
-
Uncategorized6 days ago
SoftBank looks at ‘softening’ angry customer calls with AI
-
Artificial Intelligence6 days ago
IoT Sensors Market to be Worth $71.6 Billion by 2031- Exclusive Report by Meticulous Research®