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
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Artificial Intelligence
Management ‘bought the AI hype’ and expect value but research shows lack of organizational readiness is primary hurdle: IFS
IFS commissioned research shows value creation lags AI promise without the right planning and application
LONDON, April 23, 2024 /PRNewswire/ — New research from IFS, the global cloud enterprise software company, has found that executive and board leadership have ‘bought the AI hype’ but organizations are unable to deliver operationally on expectations. The new global study of 1,700 senior decision makers, Industrial AI: the new frontier for productivity, innovation and competition, found that the promise of AI is being held back by technology, processes and skills. Half of respondents remain optimistic that with the right AI strategy, value can be realized in the next two years, and a quarter believe in the next year.
Expectations failing to meet reality
84% of executives anticipate massive organizational benefits from AI, with the top three areas AI is expected to deliver value in being high-impact: product & service innovation, improved internal & external data availability, and cost reductions & margin gains. The hype has become so high that 82% of senior decision-makers acknowledge that there is significant pressure to adopt AI quickly. However, this same group of respondents state that they are concerned that a failure to plan, implement and communicate properly means AI projects will stall in pilot stage.
Many organizations have not prioritized elements of development, nor have the infrastructure required to reap the rewards or the skills to deliver on that promise. The study found that over a third (34%) of businesses had not moved to the cloud. While this is not essential to AI adoption, it is indicative of an unprepared enterprise unlikely to be able to scale AI across their business. According to IFS, a robust Industrial AI strategy requires a potent combination of cloud, data, processes, and skills. 80% of respondents agree that the lack of a strategic approach means they have insufficient skills in-house to successfully adopt AI. This sentiment is seen elsewhere in the research with 43% of respondents rating the quality of AI resources in their business, in terms of human skills, as passable and not where it needs to be.
Christian Pedersen, Chief Product Officer, IFS, commented: “AI is poised to become the most transformational enterprise tool ever seen, but our research reveals that there are still fundamental misunderstandings about how to harness its power within an industrial setting. It is telling that AI is expected to significantly reduce costs and raise margins, but a lack of robust strategy means most businesses are under-skilled and under-prepared to achieve these ambitions. We built IFS.ai specifically with these challenges in mind. AI value simply will not be found in a single AI capability but instead by delivering AI across all products and business processes. This supports customers’ decision cycles and provides the data and AI services required to realize value faster.”
Pedersen continued: “Achieving this at scale needs a clear-eyed strategic focus, including the high-impact use cases specific to their industry, having a cloud-based infrastructure in place which has industrial AI embedded, and investing early in developing the skills needed. Adopting this approach will turn the tide of disillusionment, and deliver the benefits that boards and the C suite are demanding.”
Outlook optimistic but planning needed
The unfortunate reality of the skills gap means that in terms of AI readiness, many businesses are falling behind. IFS found that nearly half of respondents (48%) were most likely to say that they are gathering proposals and were much less likely to have a clear strategy and perceivable results (27%). A fifth of respondents are in the research phase, with uncontrolled tests taking place and a further 5% are lacking a coordinated approach and do not have anything in motion yet. Despite initial challenges, there is still optimism with respondents most likely to feel AI could make a significant difference to their business in 1-2 years (47%), and a further quarter (24%) believe it could be within a year.
In particular, respondents are most optimistic about the impact of AI in smart production and/or service delivery on effectiveness & business and operational management (22%) in the future. One fifth see the biggest impact being on innovation with new products and services (20%), growth & business model decision-making (20%), empowering people and increasing talent retention (19%), and customer experience and customer service (19%).
Action needed on data readiness
To reap these benefits, enterprises need to leverage the most strategic asset they have – their data. The right data volume and quality is critical for the success of AI applications. Respondents recognize how important real-time data is to successful AI projects, with over 4 in 5 (86%) stating this. Yet despite this recognition, less than a quarter (23%) of respondents have completed their data foundation with it supporting both data-driven business decision making and real time response to changes, suggesting that more work needs to be done to get data AI ready. Moreover, under half (43%) of respondents have majority structured data, with some unstructured.
Pedersen commented: “The lack of maturity at the data foundation layer needs to be addressed as part of an overall AI strategy, otherwise AI simply will never be the magic bullet that can turbocharge the enterprise. Clearly enterprises need support on data management and migration. While AI is seen as a shiny new tool that will revolutionize business, like all technology, it is never that simple. The power of Industrial AI is that it can touch all facets of a business from product innovation and customer experience to productivity and ESG. Its potential is massive if executives and organizations can combine vision, strategy, technology and skills. Now is the time to step back, take stock, and build a true Industrial AI plan and turn the hype into reality.”
Methodology:
Censuswide surveyed 1,709 C-level/President/SVP/Directors who work in Manufacturing, Telecommunications, A&D, Services, Construction & Engineering or Energy & resources in organizations with $50m+ annual revenue (Aged 18+) across the UK, USA, Canada, Germany, France, UAE, Norway, Japan, Australia, Sweden, Denmark and Finland between 06.03.2024 – 27.03.2024.
IFS Press Contacts:MEA& APJ: Adam GillbeCorporate CommunicationsEmail: [email protected] Phone: +44 7775 114 856
USA: Mairi MorganCorporate CommunicationsEmail: [email protected] Phone: +44 7918 607 299
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Artificial Intelligence
University medical centers in Germany choose Sectra’s radiology solution to streamline workflows and shorten lead times for patients
LINKÖPING, Sweden, April 23, 2024 /PRNewswire/ — International medical imaging IT and cybersecurity company Sectra (STO: SECT B) has signed two contracts to provide the radiology module of its enterprise imaging solution with two university medical centers in Germany—Universitätsklinikum Tübingen and Universitätsmedizin Göttingen. By implementing Sectra’s radiology solution, the hospitals aim to improve and streamline radiology workflows with Sectra’s tools for enhanced reporting efficiency, in turn speeding up diagnostics.
“When choosing a vendor, we wanted one that could provide us with a stable and fast system. We also wanted one facilitating collaboration among our radiologists. That way we can streamline our radiology workflows and in turn shorten lead times for patients as well as reduce the ever increasing workload for radiologists,” says Dr. Babak Panahi, Managing Senior Physician and Head of CT and CT Intervention, Universitätsmedizin Göttingen.
Universitätsmedizin Göttingen and Universitätsklinikum Tübingen are two university medical centers located in the cities of Göttingen and Tübingen in Germany managing 300,000 and 600,000 radiology exams a year. The two separate contracts for Sectra’s radiology solution were both signed during the third quarter of Sectra’s 2023/2024 fiscal year.
“Radiologists are under a lot of pressure as they are challenged to handle more images and more complex cases with less resources. Having a solution designed to streamline radiology workflows, facilitating reading and reporting of images, is therefore paramount. I am happy and excited to support Universitätsmedizin Göttingen and Universitätsklinikum Tübingen on their journey towards efficient radiology diagnostics,” says Guido Bötticher, Managing Director, Sectra DACH.
The radiology module is part of Sectra’s enterprise imaging solution that provides a unified strategy for all imaging needs while lowering operational costs. The scalable and modular solution, with a VNA at its core, allows healthcare providers to grow from ology to ology and from enterprise to enterprise. Visit Sectra’s website to read more about Sectra and why it’s top-ranked in ‘Best in KLAS’.
About SectraSectra contributes to a healthier and safer society by assisting health systems throughout the world to enhance the efficiency of care, and authorities and defense forces in Europe to protect society’s most sensitive information. The company, founded in 1978, is headquartered in Linköping, Sweden, with direct sales in 19 countries, and distribution partners worldwide. Sales in the 2022/2023 fiscal year totaled SEK 2,351 million. The Sectra share is quoted on the Nasdaq Stockholm exchange. For more information, visit Sectra’s website.
For further information, please contact: Dr. Torbjörn Kronander, CEO and President Sectra AB, 46 (0) 705 23 52 27Marie Ekström Trägårdh, Executive Vice President Sectra AB and President Sectra Imaging IT Solutions, 46 (0)708 23 56 10
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Artificial Intelligence
New CPS Protection Platform: TXOne Networks Unveils SageOne at GISec Global
TAIPEI, April 23, 2024 /PRNewswire/ — TXOne Networks, a frontrunner in the realm of cyber-physical systems (CPS) security, is set to unveil its groundbreaking CPS security platform, SageOne, at the highly anticipated GISec Global from April 23rd to 25th, 2024. Attendees can find TXOne Networks showcasing SageOne at stand B99 in hall 5. This innovative platform consolidates all CPS security products onto a single, central management platform, promising streamlined operations and optimized threat detection capabilities.
SageOne, aptly named “Wise Man Number One,” serves as a comprehensive management console providing a holistic view of the CPS attack surface within operational technology (OT) environments. By enabling centralized control of TXOne’s three core product lines – Stellar for endpoint protection, Element for security inspection, and Edge for network defense – SageOne facilitates integrated OT security throughout the lifecycle of protected assets, ensuring robust threat detection and response mechanisms.
Key features of SageOne include:
CPS Attack Surface Management: Prioritizing operational security by offering clear visibility into the overall security posture of OT environments, SageOne identifies security focal points, illuminating asset information and security controls.Integrated Lifecycle Protection: Through centralized management, SageOne simplifies cybersecurity governance and fosters collaborative defense. It serves as an abstraction layer, facilitating contextualization and consolidation of data across multiple products, offering tailored, task-oriented consoles for executives, security personnel, and plant leaders.CPS Threat Detection & Response: SageOne aggregates security insights from various solutions to scout for potential risks, enabling early caution and response to both known and unknown threats.SageOne’s foundation rests upon advanced components, including Threat Intelligence, Behavior-Based AI Analytics Engines, Compliance Framework, Data Visualizer, and Ecosystem Integrator, ensuring comprehensive protection and seamless integration of different tools and technologies.
With its focus on analyzing unexpected behavior and unknown threats, SageOne enables the identification of suspicious events through cross-telemetry analysis within the OT-native XDR engine. This amalgamation of advanced technologies and user-friendly interface ensures the protection of critical infrastructures.
For rapid threat response, SageOne issues early warnings of suspicious behavior and orchestrates cross-telemetry analysis for CPS Threat Detection & Response. Integrated Lifecycle Protection ensures the security of devices and systems throughout their service life, contributing to great cost efficiency.
TXOne Networks reaffirms its commitment to CPS security and continuous advancement in OT security through SageOne. Visit TXOne Networks at the GISec Global from April 23rd to 25th, 2024, at stand B99 in hall 5.
For further updates and information, follow TXOne Networks on the blog, Twitter, and LinkedIn.
About TXOne Networks:
TXOne Networks provides OT security products ensuring reliability and security in industrial control systems and operational technology environments through the OT Zero Trust methodology. Collaborating with leading industrial manufacturers and critical infrastructure operators, TXOne Networks offers practical and business-friendly approaches to OT defense. Its network and endpoint-based products secure OT networks and mission-critical devices in real-time with high security depth.
Website: www.txone.com
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