Card-linked wallets are forecast to be the most used type of wallet in Canada in 2028, but their growth is not as fast as non-card-linked wallets. This is according to hybrid research released in 2024, which - depending on the country - either used database modelling or data acquired via a consumer survey. The market share of wallets in Canada was estimated to increase in the country during online shopping, while credit card may potentially experience some lost. Conversely, adoption of wallets in Canada was lower, though, when compared to other countries worldwide.

Digital wallets are expected to process nearly 78 billion U.S. dollars of online shppping transactions in Italy by 2028. This is according to hybrid research released in 2024, which - depending on the country - either used database modeling or data acquired via a consumer survey. Wallets ranked relatively high among Italy's most-used payment methods when shopping online. Indeed, more than 50 percent of Gen Z in Italy preferred mobile payments to other payment methods when ordering online.

Card-linked wallets are forecast to be the main type of wallet in the U.S. in 2028, with a transaction value much higher than of non-card-linked wallets. This is according to hybrid research released in 2024, which - depending on the country - either used database modeling or data acquired via a consumer survey. The adoption of wallets in the United States ranks lower than of other countries in the world, especially compared to countries from Asia-Pacific.

Mobile payments apps are used by more than two billion people globally, with millions more coming online each year. In India, South-east Asia and South America, the younger generation skipped the...

Card-linked wallets are predicted to take up the vast majority of e-commerce spending conducted with digital wallets in the UK by 2028. This is according to hybrid research released in 2024, which - depending on the country - either used database modeling or data acquired via a consumer survey. Wallets ranked relatively high among the UK's most-used online payment methods. In contrast, the adoption of wallets in the UK was relatively lower, when compared to other countries worldwide.

Non-card-linked wallets are forecast to be the most used type of wallet in Spain in 2028, but their growth is not as fast as card-linked wallets. This is according to hybrid research released in 2024, which - depending on the country - either used database modeling or data acquired via a consumer survey. Digital wallets ranked first among Spain's most-used online payment methods. This is relatively surprising as the adoption of wallets in Spain was relatively low when compared to other countries worldwide.

The Point of Sale Terminal market is booming very fast, due to high usage of digital payment, contactless transactions, and cloud-based point of sale. The growth of the Point of Sale terminal market is in linear motion because demand for the sector has been rapidly growing in retail, hospitality, healthcare, and e-commerce sectors. The key innovations include analytics, powered by artificial intelligence, biometric authentication, and mobile point-of-sale systems, which provide both enhanced customer experience and greater operational efficiency. The transition toward cashless economies and the encouragement of digital transactions through regulations increase market adoption further. Security is paramount in the EMV, end-to-end encryption, and tokenization protecting data from users.However, these options come with negatives such as initial higher costs, complexities in integration with the systems, and other security-related challenges.Key competitors include Square, Ingenico, Verifone, and NCR Corporation which emphasize on the cloud-based as well as AI-driven POS options to lead market. IoT penetration, 5G, as well as the blockchain is all expected to revolutionize further steps within the business as well. Recent developments include: June 2023: A new point-of-sale (POS) system from Payabl., a reputable FinTech company known for the payment solutions, has been presented with a focus on supporting the expansion of European retailers. The POS system was created as a reaction to the expanding omnichannel shopping trend. The recently released payabl. POS terminals in fact are designed to take advantage of this potential by making it simpler for merchants to accept payments across all channels, allowing them to work with just one supplier for both online and in-person transactions. The recently released payabl. POS terminals guarantee to give a seamless omnichannel platform, combining transaction processing for cards that are present as well as cards that are not. These terminals will support Visa, Mastercard, along with payments made using Google & Apple Pay, giving businesses a streamlined payment option., May 2023: Axis Bank, one of the biggest private sector banks in India, has launched "Sarathi," the first digital onboarding system which enables retailers to employ point of sale (POS) or electronic data capture (EDC). The technology expedites the application process and offers paperless onboarding for businesses to enable quick POS installation. This is done through real-time database checks & live video verification. The solution provides quick installations within about 45 minutes of the processing of the application. The solution enables merchants to complete the onboarding process in just four easy steps, including real-time database checks for quicker application processing, the live video verification for authenticating merchant information at the merchant's convenience, elimination of the field verification process to help in immediate decision-making, and instant POS installation., May 2023: In collaboration with ICICI Bank, merchant commerce platform Pine Labs announced the adoption of digital Rupee on its point-of-sale terminals. Due to the technical integration between two parties, major retail locations in Mumbai and Bengaluru will now be able to take Digital Rupee at Pine Labs point-of-sale terminals. The process of Digital Rupee payment is carried out entirely digitally by Pine Labs using dynamic QR (quick response) embedded into their intelligent Android PoS terminals., January 2022: The introduction of mobile Android point-of-sale (POS) terminals in the EU, UK, and US was announced by Adyen.. Key drivers for this market are: The increasing adoption of mobile payments The growth of e-commerce The increasing popularity of cloud-based POS systems The growing number of regulations around the world. Potential restraints include: The high cost of POS terminals The complexity of POS systems The lack of interoperability between POS systems. Notable trends are: The increasing adoption of mobile payments is driving demand for new and innovative POS terminals. The growth of e-commerce is also driving demand for POS terminals, as businesses need to be able to accept payments online and in-store. The increasing popularity of cloud-based POS systems is making it easier for businesses to deploy and manage their POS terminals..

Non-card-linked wallets are forecast to be the most used type of wallet in India in 2028, but their growth is not as fast as card-linked wallets. This is according to hybrid research released in 2024, which - depending on the country - either used database modeling or data acquired via a consumer survey. Indeed, wallets were the most used payment method in the country when shopping online. India ranks as the country with the highest penetration of mobile wallets in the world.

This dataset analyzes the direct effect of positive and negative word-of-mouth, peer influence, alternative attractiveness, and trust in the incumbent provider on users' intentions to switch. It also examines the mediating role of alternative attractiveness in the relationship between positive WOM, and switching intentions; the mediating role of trust in incumbent service in the relationship between negative WOM and switching intentions.

Cost-of-Goods-Sold-Including-Depreciation-and-Amortization Time Series for Shift4 Payments Inc. Shift4 Payments, Inc. engages in the provision of software and payment processing solutions in the United States and internationally. The company offers payments platform, which provides omni channel card acceptance; and processing solutions across multiple payment types, including credit, debit, contactless card, Europay, MasterCard and Visa, QR Pay, and mobile wallets, as well as alternative payment methods, such as Apple Pay, Google Pay, Alipay, and WeChat Pay. It provides technology solutions, such as SkyTab POS, which provides purpose-built POS workstations; SkyTab Mobile, which provides pay-at-the-table, order-at-the-table, delivery, customer feedback, and email marketing solutions; SkyTab Venue, which provides mobile ordering, countertop POS, self-service kiosk, and digital wallet solutions; Lighthouse, a cloud-based suite of business intelligence tools that includes customer engagement, social media management, online reputation management, scheduling and product pricing, as well as extensive reporting and analytics; The Giving Block, a cryptocurrency donation marketplace; Shift4Shop, an ecommerce platform that creates a webstore and tools to manage product catalog, order fulfillment and inventory management, search engine optimization, and secure hosting; and Marketplace that enables integrations into third-party applications, as well as loyalty and inventory management. In addition, the company provides merchant operations and support services, including underwriting, onboarding, and activation; training; risk management; and support. It also provides software partner operations and support services, including software integrations and compliance management; partner support; and partner services. The company distributes its products through independent software vendors, internal sales and support network, enterprises, and value-added resellers. The company was founded in 1999 and is headquartered in Center Valley, Pennsylvania.

Mobile payment systems have experienced rapid growth, but accurate forecasting remains challenging due to market dynamics and complex adoption factors. This paper proposes a Hybrid ARIMA-LSTM-Transformer model that combines time series forecasting, sequential learning, and attention mechanisms to address these challenges. Experimental results across five datasets demonstrate our model’s superior performance with MAE of 0.075, RMSE of 0.121, and R2 score of 0.948, outperforming traditional approaches. The model’s high accuracy and adaptability make it valuable for real-world applications in digital economy planning and mobile payment market analysis.

Techsalerator’s Business Technographic Data for Vietnam: Unlocking Insights into Vietnam's Technology Landscape

Techsalerator’s Business Technographic Data for Vietnam provides a detailed and comprehensive dataset essential for businesses, market analysts, and technology vendors seeking to understand and engage with companies operating within Vietnam. This dataset offers in-depth insights into the technological landscape, capturing and organizing data related to technology stacks, digital tools, and IT infrastructure used by businesses in the country.

Please reach out to us at info@techsalerator.com or visit Techsalerator Contact.

Top 5 Most Utilized Data Fields

• Company Name: This field lists the names of companies in Vietnam, enabling technology vendors to target potential clients and allowing analysts to assess technology adoption trends within specific businesses.

• Technology Stack: This field outlines the technologies and software solutions a company uses, such as accounting systems, customer management software, and cloud services. Understanding a company's technology stack is key to evaluating its digital maturity and operational needs.

• Deployment Status: This field indicates whether the technology is currently deployed, planned for future deployment, or under evaluation. Vendors can use this information to assess the level of technology adoption and interest among companies in Vietnam.

• Industry Sector: This field specifies the industry in which the company operates, such as manufacturing, retail, or finance. Knowing the industry helps vendors tailor their products to sector-specific demands and emerging trends in Vietnam.

• Geographic Location: This field identifies the company's headquarters or primary operations within Vietnam. Geographic information aids in regional analysis and understanding localized technology adoption patterns across the country.

Top 5 Technology Trends in Vietnam

• E-commerce Expansion: With a rapidly growing digital consumer base, Vietnamese companies are increasingly investing in e-commerce platforms, digital marketing, and online payment systems to capture a larger market share and enhance customer experience.

• Fintech Innovations: Vietnam’s fintech sector is experiencing significant growth, with businesses adopting advanced financial technologies such as mobile payment solutions, digital wallets, and blockchain to improve financial transactions and services.

• Smart Manufacturing: The manufacturing sector in Vietnam is embracing Industry 4.0 technologies, including automation, IoT, and AI-driven analytics, to enhance productivity, efficiency, and competitiveness in the global market.

• Cloud Computing and SaaS: Cloud-based solutions and Software-as-a-Service (SaaS) offerings are gaining traction, providing Vietnamese businesses with scalable and flexible IT infrastructure that supports remote work and digital transformation initiatives.

• Cybersecurity Enhancements: As digital activities increase, so does the need for robust cybersecurity measures. Companies in Vietnam are investing in advanced security solutions, including threat detection systems and data protection tools, to safeguard their operations and customer data.

Top 5 Companies with Notable Technographic Data in Vietnam

• Vietcombank: A leading financial institution, Vietcombank is implementing cutting-edge digital banking solutions, including mobile banking apps and secure online transaction systems, to enhance customer service and operational efficiency.

• Vingroup: As a major conglomerate, Vingroup leverages advanced technologies across its diverse business segments, including real estate, retail, and healthcare, integrating smart technologies and digital platforms into its operations.

• FPT Corporation: A major IT services and software development company, FPT is at the forefront of digital transformation in Vietnam, offering solutions in cloud computing, AI, and cybersecurity to both domestic and international clients.

• Masan Group: A leading consumer goods and retail company, Masan Group is adopting digital tools and e-commerce platforms to optimize its supply chain, enhance customer engagement, and drive business growth.

• VNPT: Vietnam’s largest telecommunications provider, VNPT is expanding its network infrastructure and investing in advanced technologies such as 5G and IoT to improve connectivity and support the digital economy.

Accessing Techsalerator’s Business Technographic Data

For those interested in accessing Techsalerator’s Business Technographic Data for Vietnam, please contact info@techsalerator.com with your specific needs. Techsalerator offers customized quotes based on the required number of data fields and records, with datasets available for delivery within 24 hours. Ongoing access ...

Free-Cash-Flow-To-The-Firm Time Series for Hengbao Co Ltd. Hengbao Co.,Ltd. engages in the financial technology, Internet of Things, digital security and digital services in China and internationally. The company offers card payment and security services; blockchain finance, digital asset wallet, and supply chain financial platform; mobile communications and the internet of things, including sim, esim, and M2M card. It also provides smart password key, electronic token, Bluetooth USBKEY, mobile smart terminal mobile phone shield, and other products; and tax security products, such as tax control disk, transmission disks, tax control Ukey, and PSAM cards. In addition, the company offers bluetooth secure reading and writing terminal, mPOS, mobile POS, and face recognition payment terminal; and one card cloud and mobile payment platform services. Further, it serves its products to financial industry, communications industry, mobile payment cloud platform, automotive, and composite material solutions. The company was founded in 1996 and is headquartered in Danyang, China.

Operating-Return-On-Assets Time Series for Hengbao Co Ltd. Hengbao Co.,Ltd. engages in the financial technology, Internet of Things, digital security and digital services in China and internationally. The company offers card payment and security services; blockchain finance, digital asset wallet, and supply chain financial platform; mobile communications and the internet of things, including sim, esim, and M2M card. It also provides smart password key, electronic token, Bluetooth USBKEY, mobile smart terminal mobile phone shield, and other products; and tax security products, such as tax control disk, transmission disks, tax control Ukey, and PSAM cards. In addition, the company offers bluetooth secure reading and writing terminal, mPOS, mobile POS, and face recognition payment terminal; and one card cloud and mobile payment platform services. Further, it serves its products to financial industry, communications industry, mobile payment cloud platform, automotive, and composite material solutions. The company was founded in 1996 and is headquartered in Danyang, China.

Long-Term-Debt Time Series for Hengbao Co Ltd. Hengbao Co.,Ltd. engages in the financial technology, Internet of Things, digital security and digital services in China and internationally. The company offers card payment and security services; blockchain finance, digital asset wallet, and supply chain financial platform; mobile communications and the internet of things, including sim, esim, and M2M card. It also provides smart password key, electronic token, Bluetooth USBKEY, mobile smart terminal mobile phone shield, and other products; and tax security products, such as tax control disk, transmission disks, tax control Ukey, and PSAM cards. In addition, the company offers bluetooth secure reading and writing terminal, mPOS, mobile POS, and face recognition payment terminal; and one card cloud and mobile payment platform services. Further, it serves its products to financial industry, communications industry, mobile payment cloud platform, automotive, and composite material solutions. The company was founded in 1996 and is headquartered in Danyang, China.

Change-Receivables Time Series for Hengbao Co Ltd. Hengbao Co.,Ltd. engages in the financial technology, Internet of Things, digital security and digital services in China and internationally. The company offers card payment and security services; blockchain finance, digital asset wallet, and supply chain financial platform; mobile communications and the internet of things, including sim, esim, and M2M card. It also provides smart password key, electronic token, Bluetooth USBKEY, mobile smart terminal mobile phone shield, and other products; and tax security products, such as tax control disk, transmission disks, tax control Ukey, and PSAM cards. In addition, the company offers bluetooth secure reading and writing terminal, mPOS, mobile POS, and face recognition payment terminal; and one card cloud and mobile payment platform services. Further, it serves its products to financial industry, communications industry, mobile payment cloud platform, automotive, and composite material solutions. The company was founded in 1996 and is headquartered in Danyang, China.

Time Series Database for Financial Services Market Outlook

As per our latest research, the global Time Series Database for Financial Services market size in 2024 reached USD 1.85 billion, demonstrating robust growth driven by the increasing adoption of real-time analytics and data-driven decision-making in the financial sector. The market is expected to expand at a CAGR of 13.2% from 2025 to 2033, reaching a forecasted value of USD 5.44 billion by 2033. The primary growth factor for this market is the escalating volume of financial transactions and the growing need for high-frequency data analysis, which is crucial for risk management, fraud detection, and algorithmic trading across global financial institutions.

One of the most significant growth drivers for the Time Series Database for Financial Services market is the exponential rise in digital transactions and the proliferation of fintech solutions. Financial institutions are increasingly leveraging time series databases to process and analyze vast streams of transactional data in real time. This capability is essential for supporting complex applications such as algorithmic trading, which relies on millisecond-level data precision to execute trades and manage portfolios efficiently. The surge in mobile banking, online payments, and digital wallets has further amplified the demand for scalable and high-performance databases that can handle the velocity, volume, and variety of financial data generated every second. As financial services become more digitized, the need for robust data infrastructure continues to intensify, propelling the market forward.

Another critical factor fueling market growth is the regulatory environment and the increasing emphasis on compliance and risk management. Financial institutions are under mounting pressure to comply with stringent regulations imposed by global authorities, which necessitate comprehensive data tracking, auditing, and reporting capabilities. Time series databases offer an efficient way to store and retrieve historical data, making it easier for banks, investment firms, and insurance companies to demonstrate compliance and quickly respond to regulatory inquiries. Moreover, the integration of advanced analytics and artificial intelligence with time series databases enables organizations to detect anomalies, predict risks, and automate compliance workflows, thereby reducing operational costs and mitigating potential penalties.

Technological advancements and the rise of cloud computing are also pivotal in shaping the growth trajectory of the Time Series Database for Financial Services market. Cloud-based deployment models have democratized access to high-performance databases, enabling even small and medium-sized enterprises to leverage sophisticated data management capabilities without significant upfront investments. The scalability, flexibility, and cost-efficiency offered by cloud solutions are attracting a diverse range of financial service providers, from traditional banks to innovative fintech startups. Furthermore, the integration of time series databases with big data platforms and machine learning tools is unlocking new opportunities for real-time analytics, personalized financial services, and predictive modeling, all of which contribute to the sustained expansion of the market.

From a regional perspective, North America continues to dominate the global Time Series Database for Financial Services market, accounting for the largest revenue share in 2024. This leadership position is attributed to the presence of major financial hubs, advanced IT infrastructure, and early adoption of cutting-edge technologies by leading banks and investment firms. However, the Asia Pacific region is emerging as the fastest-growing market, driven by rapid digital transformation, increasing investments in fintech, and the rising adoption of cloud-based solutions in countries such as China, India, and Singapore. Europe is also witnessing substantial growth, supported by stringent regulatory frameworks and the increasing focus on data-driven financial services. Latin America and the Middle East & Africa are gradually catching up, with financial institutions in these regions investing in modern database solutions to enhance operational efficiency and customer experience.

In the evolving landscape of financial services, <a href="https://growthmarketreports.com/report/managed-temporal-services-market" target="_blank&

Mobile payment systems have experienced rapid growth, but accurate forecasting remains challenging due to market dynamics and complex adoption factors. This paper proposes a Hybrid ARIMA-LSTM-Transformer model that combines time series forecasting, sequential learning, and attention mechanisms to address these challenges. Experimental results across five datasets demonstrate our model’s superior performance with MAE of 0.075, RMSE of 0.121, and R2 score of 0.948, outperforming traditional approaches. The model’s high accuracy and adaptability make it valuable for real-world applications in digital economy planning and mobile payment market analysis.

Payment Fraud Detection AI Market Outlook

According to our latest research, the global Payment Fraud Detection AI market size reached USD 9.8 billion in 2024, demonstrating robust momentum driven by rapid digital transformation and increasing sophistication of fraudulent activities. The market is projected to expand at a CAGR of 19.2% from 2025 to 2033, reaching a forecasted value of USD 46.1 billion by 2033. This remarkable growth is primarily fueled by the urgent need for advanced, real-time fraud detection solutions as organizations face escalating threats in online transactions and digital payments.

One of the most significant growth factors propelling the Payment Fraud Detection AI market is the exponential rise in online transactions and digital payment channels, particularly in the wake of the global shift toward cashless economies. As consumers and businesses increasingly embrace e-commerce, mobile banking, and contactless payments, the volume and complexity of digital transactions have surged. This expansion has inadvertently created a fertile ground for sophisticated cybercriminals, compelling financial institutions, retailers, and payment processors to invest heavily in AI-powered fraud detection technologies. These solutions leverage machine learning and advanced analytics to identify anomalous patterns, adapt to evolving fraud tactics, and provide real-time alerts, thereby minimizing financial losses and enhancing consumer trust.

Another pivotal driver is the regulatory landscape, which is becoming increasingly stringent regarding data security and consumer protection. Governments and regulatory bodies across the globe are enforcing stricter compliance standards, such as the General Data Protection Regulation (GDPR) in Europe and the Payment Card Industry Data Security Standard (PCI DSS) worldwide. These regulations mandate robust fraud prevention mechanisms, pushing organizations to adopt state-of-the-art AI-driven detection systems. The ability of AI algorithms to process vast datasets, recognize subtle fraud indicators, and automate risk assessment processes positions them as indispensable tools in achieving regulatory compliance while maintaining operational efficiency.

Additionally, the evolution of artificial intelligence itself is accelerating adoption rates. Modern AI models, particularly those utilizing deep learning and neural networks, are capable of handling complex, high-volume datasets typical of payment ecosystems. These technologies not only enhance detection accuracy but also reduce false positives, which have historically been a challenge for traditional rule-based systems. The integration of AI with other emerging technologies, such as blockchain and behavioral biometrics, further amplifies the effectiveness of fraud prevention strategies, enabling a proactive rather than reactive approach to payment security.

From a regional perspective, North America continues to dominate the Payment Fraud Detection AI market, accounting for the largest revenue share in 2024, followed by Europe and Asia Pacific. The region's leadership is attributed to its advanced digital infrastructure, high penetration of digital payment platforms, and a mature regulatory environment. However, Asia Pacific is witnessing the fastest growth, driven by rapid digitalization in emerging economies, increasing e-commerce activities, and heightened awareness of cybersecurity threats. Latin America and the Middle East & Africa are also experiencing steady adoption, albeit at a relatively nascent stage, as financial inclusion initiatives and mobile payment adoption gather pace.

Component Analysis

The Payment Fraud Detection AI market by component is segmented into Software and Services, both of which play critical roles in the deployment and operation of advanced fraud detection systems. Software solutions form the backbone of this market, encompassing a wide array of products such as fraud analytics platforms, anomaly detection engines, and real-time risk assessment tools. These software offerings are designed to seamlessly integrate with existing payment infrastructures, leveraging machine learning algorithms to monitor transactions, detect suspicious activities, and automate response mechanisms. The continuous evolution of AI software, particularly the adoption of deep learning and natural language processing, is enabling organizations to stay ahead of increasingly sophisticated fra

Minority-Interest-Expense Time Series for Hengbao Co Ltd. Hengbao Co.,Ltd. engages in the financial technology, Internet of Things, digital security and digital services in China and internationally. The company offers card payment and security services; blockchain finance, digital asset wallet, and supply chain financial platform; mobile communications and the internet of things, including sim, esim, and M2M card. It also provides smart password key, electronic token, Bluetooth USBKEY, mobile smart terminal mobile phone shield, and other products; and tax security products, such as tax control disk, transmission disks, tax control Ukey, and PSAM cards. In addition, the company offers bluetooth secure reading and writing terminal, mPOS, mobile POS, and face recognition payment terminal; and one card cloud and mobile payment platform services. Further, it serves its products to financial industry, communications industry, mobile payment cloud platform, automotive, and composite material solutions. The company was founded in 1996 and is headquartered in Danyang, China.