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South Africa Buy Now, Pay Later Boom: $5.7 Billion Growth by 2027 Fueled by Credit Access & E-commerce Surge: Ken Research

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GURUGRAM, India, Feb. 19, 2024 /PRNewswire/ — South Africa’s Buy Now, Pay Later (BNPL) market is experiencing rapid growth, fueled by the increasing demand for flexible credit options and the booming e-commerce sector. Ken Research’s “South Africa Buy Now, Pay Later Market” report predicts a remarkable 14.8% CAGR, translating to a substantial $5.7 billion market size by 2027. This press release unpacks the key drivers, challenges, and exciting prospects shaping this dynamic landscape. 

 

Market Overview: Empowering Consumers, Boosting Retail 

Beyond simply offering delayed payments, BNPL services play a crucial role in expanding financial inclusion, making online shopping more accessible, and stimulating economic growth. In 2022, the market reached a size of $1.7 billion, and it’s on track for significant expansion, driven by: 

Limited Access to Traditional Credit: Restrictive access to credit cards and high interest rates make BNPL a viable alternative for many consumers. E-commerce Explosion: Rising internet penetration and mobile adoption fuel online shopping, creating a strong demand for BNPL solutions. Convenience & Affordability: Easy online application processes and manageable payment installments enhance consumer appeal. Merchant Benefits: Increased sales volumes and reduced cart abandonment rates benefit retailers adopting BNPL options. 

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Market Segmentation: Diverse Solutions, Tailored Needs 

The report delves into various segments of the South African BNPL market, offering a comprehensive view: 

Payment Cycle: Interest-free options within 3-6 months dominate (70%), followed by longer installment plans with interest (20%) and point-of-sale financing (10%). Industry: Retail & e-commerce leads the demand (60%), followed by travel & tourism (20%) and education (10%). BNPL caters to diverse purchase needs. Player Type: Established financial institutions hold the largest share (50%), followed by fintech startups (40%) and mobile network operators (10%). Players offer varying value propositions. 

Competitive Landscape: Local & Global Players Collaborate 

The market features a blend of established local players, global giants, and innovative startups: 

Local Champions: PayJustNow, Payflexi, and Mobi Credit cater to the local market with flexible solutions and partnerships with retailers. Global Titans: Klarna, Afterpay, and PayPal offer international expertise and diverse product offerings. Emerging Challengers: Fintech startups like Lamna and Easy Equities disrupt the market with innovative technologies and niche offerings. 

Challenges: Navigating the Road to Responsible Growth 

Despite the promising outlook, some challenges need to be addressed: 

Regulatory Framework: Lack of specific regulations for BNPL services can raise concerns about over-indebtedness and consumer protection. Data Security & Privacy: Protecting sensitive consumer data and ensuring responsible data practices are crucial for long-term trust. Financial Literacy: Educating consumers about responsible BNPL usage and potential risks is essential to avoid financial distress. Competition & Sustainability: Intense competition can lead to aggressive marketing practices and unsustainable business models. 

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Future Outlook: A Secure, Responsible, and Inclusive BNPL Ecosystem 

The South African BNPL market is poised for continued growth, driven by several exciting factors: 

Focus on Financial Inclusion: Partnerships with microfinance institutions and targeted offerings can expand access to BNPL for underserved communities. Technological Advancements: Integration with artificial intelligence and data analytics will enhance risk assessment and personalize consumer experiences. Regulatory Clarity: Establishment of clear regulations will promote responsible lending practices and build consumer confidence. Collaboration & Innovation: Partnerships between stakeholders will foster responsible growth, address challenges, and drive innovation. 

Key Takeaways for Stakeholders: 

This report offers valuable insights for various stakeholders in the South African BNPL market, including: 

BNPL Providers: Focusing on responsible lending practices, data security, and financial literacy initiatives. Investors: Identifying high-growth opportunities in segments like BNPL for underserved communities and innovative technologies. Retailers: Partnering with reliable BNPL providers, integrating seamless BNPL options, and ensuring transparency. Regulators: Developing clear and balanced regulations that protect consumers and promote responsible market growth. Consumers: Understanding the terms and conditions of BNPL options, using them responsibly, and seeking financial advice if needed. 

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Conclusion: 

South Africa’s BNPL market stands on the cusp of a transformative journey, offering immense potential for financial inclusion, e-commerce growth, and economic development.

For More Insights On Market Intelligence, Refer To The Link Below: –

South Africa Buy Now Pay Later Market

Related Reports by Ken Research: –

Malaysia Buy Now Pay Later Market Outlook to 2027F Driven by Digitalization, Rising Tech-Savvy Population, Increasing M&A Deals, Partnerships between BNPL players and Banks along with shifting preference towards BNPL

According to Ken Research estimates, the Malaysia BNPL Market – which grew from approximately USD ~140 Mn in 2019 to approximately USD ~560 Mn in 2022 – is forecasted to grow further into USD ~2700 Mn opportunity by 2027F, owing to the New Government Policies, New Players in the Market and Partnership with Companies.

KSA Buy Now Pay Later Market Outlook to 2027 Driven by digitalization, government support as a part of Saudi vision 2030 increasing Genz & millennials population due to influx of expatriates coupled with shifting preference towards easy interest free extra credit line sources

The KSA BNPL marketis estimated to expand at a CAGR of ~xx% in between 2022P and 2027E on the basis of number of transactions done. Increasing adoption of cashless society with emergence of digital payments fueled by surging working age class will derive the traction of BNPL industry among the users in KSA Increasing demand for extra credit line with less stringent KYC procedures without relying on CIBIL scores will be traction for consumers for utilization of BNPL services.

UAE Buy Now Pay Later Industry Outlook to 2027 Driven by adoption of cashless society, increasing Genz & millennials population coupled with shifting preference towards easy interest free extra credit line sources

UAE BNPL market is expected to expand with a single digit CAGR in between 2022 and 2027 on the basis of revenue generated. It is anticipated that BNPL industry will grow at a substantial rate owing to factors such as due to wider acceptability at shops and better product offerings in a competitive landscape in the coming years. UAE has been culturally conservative towards BNPL and it is always seen as a debt trap instrument.

US Micro Lending Market Outlook to 2028 Segmented by Product (Micro-credit/ Micro-loans, Micro-savings, Micro-Insurance, and Remittances and Money Transfer), By End-User (Small enterprises, Solo entrepreneurs & self-employed, Farmers & Agriculture workers, and Healthcare Recipients)

The US Micro Lending market is expected to grow at a CAGR of 12 % from 2022 to 2028 with low-interest Rates, Ease of Access, Technological Advancements, flexible repayment schedules, and Alternative credit score models. As the market is anticipated to grow remarkably in the forecasted period thus the demand for microloans will also increase significantly.

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Contact Us:-
Ken Research Private Limited
Ankur Gupta, Director Strategy and Growth
Ankur@kenresearch.com
+91-9015378249

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Safetyfirst Systems, LLC Provides Notice of Data Security Event

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PARSIPPANY, N.J., July 23, 2026 /PRNewswire/ — Safetyfirst Systems, LLC (“SFS”) is providing notice of a data security event that may involve information relating to certain individuals. While SFS is not aware of any misuse of information associated with this event, it is providing notice to potentially affected individuals out of an abundance of caution.

On January 19, 2026, SFS identified suspicious activity involving a limited portion of its server environment. Upon discovering the activity, SFS quickly took steps to secure its systems, notified federal law enforcement, engaged leading third-party forensic specialists, and performed a detailed investigation into the nature, scope, and impact of the activity. The investigation determined that an unauthorized actor accessed and/or acquired certain files from limited SFS systems between January 16, 2026, and January 19, 2026. SFS then conducted a comprehensive review of the affected files to determine what information may have been involved and identify the individuals to whom the information relates. The review has recently concluded, and SFS is providing this notification to potentially impacted individuals out of an abundance of caution. Although the types of information vary by individual, the affected information may include names, Social Security numbers, and driver’s license numbers.

Protecting the privacy and security of the information entrusted to SFS is a responsibility the company takes very seriously. In response to this event, SFS promptly strengthened security measures, continues to enhance its technical safeguards and monitoring capabilities, and is reviewing existing policies and procedures to further protect against similar incidents in the future. SFS is also providing notice to potentially affected individuals and, where required, appropriate regulatory authorities.

Although SFS is unaware of any misuse of personal information impacted by this event, individuals are encouraged to remain vigilant against events of identity theft by reviewing account statements, explanation of benefits, and monitoring free credit reports for suspicious activity and to detect errors. Any suspicious activity should be reported to the appropriate insurance company, health care provider, or financial institution.

Individuals seeking additional information regarding this event can contact SFS’s dedicated assistance line at 1-833-289-5523 between the hours of 7:00 a.m. to 7:00 p.m. Eastern time, Monday through Friday, excluding holidays. Individuals may also write to SFS at PO Box 101, 3299 US Highway 46, Parsippany, NJ 07054-9998.

 

View original content:https://www.prnewswire.com/news-releases/safetyfirst-systems-llc-provides-notice-of-data-security-event-302831894.html

SOURCE Safetyfirst Systems, LLC

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Sunrate and Mastercard Release White Paper on Agentic AI and the Future of B2B Global Payments

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SHANGHAI, July 24, 2026 /PRNewswire/ — Sunrate, the global payment and treasury management platform, and Mastercard, a global technology company in the payments industry, unveiled a joint white paper, Beyond Automation: Defining Agentic Global Payments, at the 2026 World Artificial Intelligence Conference (WAIC).

Among the first reports in the payments industry to examine the impact of Agentic AI on B2B cross-border payments, the white paper provides a comprehensive framework for understanding how AI agents are reshaping enterprise payment operations. It proposes that cross-border payments are evolving beyond digitisation and automation into a new stage: Autonomy—where AI agents with reasoning, planning, and execution capabilities can independently orchestrate and optimise end-to-end payment and treasury workflows within defined governance frameworks.

As businesses expand across borders, B2B cross-border payments continue to be constrained by fragmented workflows, disconnected systems, foreign exchange inefficiencies, rising compliance requirements, and complex reconciliation processes. While traditional automation improves individual tasks, the white paper demonstrates that Agentic AI represents a fundamental shift by enabling intelligent agents to coordinate entire payment journeys across systems, counterparties, and approval workflows.

Drawing on Sunrate’s global payment infrastructure and AI-native product capabilities, together with Mastercard’s expertise in secure payment networks and data intelligence, the white paper defines Agentic Global Payments — a new category of AI-native global payment infrastructure built to automate and manage complex enterprise workflows.

The report identifies 16 major pain points across the B2B payment lifecycle and outlines 13 high-value AI use cases spanning supplier onboarding, accounts payable and receivable, virtual commercial cards, payment routing, foreign exchange management, compliance screening, fraud detection, reconciliation, and conversational operational support. It also demonstrates how AI agents can automate complex workflows—from extracting information across multiple document formats and conducting compliance checks to initiating payments, optimising FX execution, and completing reconciliation—while operating within enterprise governance and control frameworks.

The white paper further highlights that trusted adoption of agentic payments depends on more than technological capability. It identifies governance, transparency, security, and ecosystem collaboration as essential foundations for enterprise deployment, supported by frameworks such as Know Your Agent (KYA), payment tokenisation, auditability, and cross-industry interoperability.

Sunrate.AI portfolio currently includes the Payment Agent, FX Agent, Compliance Agent, Onboarding Agent, and Chat Agent, designed to help enterprises automate and optimise critical payment and treasury processes while maintaining compliance and operational control.

Mastercard has also been actively building the foundations for trusted agentic commerce – combining AI capabilities with verifiable authorisation, clear accountability and proven payments security. Its work in this area, including Agent Pay (alongside Agent Pay for Machines) and Verifiable Intent, are proof points in how Mastercard is enabling AI to participate in commerce safely and transparently. 

“Our mission is to make global payments seamless, compliant, and intelligent,” said Paul Meng, Co-founder and CEO of Sunrate. “As businesses continue expanding internationally, AI agents will fundamentally reshape how enterprises manage global payments—enabling smoother capital flows, reducing operational friction, and embedding real-time intelligence into every payment decision. This white paper represents an important step in helping the industry understand how Agentic AI can be deployed responsibly at enterprise scale.”

“Agentic commerce is changing how businesses make and execute payment decisions, but speed without accountability creates new categories of risk,” said Anouska Ladds, Executive Vice President, Commercial & New Payment Flows, Asia Pacific, Mastercard. “As AI starts to act on behalf of businesses, autonomous payment decisions need a clear, auditable chain of identity, intent and action. That’s what allows organisations to delegate with genuine confidence — and what will determine whether agentic commerce scales past pilots.”

Released under WAIC 2026’s theme, “Intelligent Partners, Co-creating the Future,” the white paper provides business leaders with practical guidance on adopting AI-driven payment capabilities, covering implementation approaches, governance considerations, and real-world enterprise applications.

By combining Sunrate’s expertise in global payments and treasury management with Mastercard’s trusted payment infrastructure and network capabilities, the collaboration reflects a shared commitment to accelerating the next generation of intelligent, secure, and autonomous B2B global payments.

Click here to check the white paper.

About Sunrate

Sunrate is a leading global payment and treasury management platform for businesses worldwide. Founded in 2016, Sunrate has enabled companies to operate and scale both locally and globally in 190+ countries and regions with its cutting-edge infrastructure, global network, and unified solutions.

Sunrate operates through offices across key markets, including Singapore, Kuala Lumpur, Jakarta, Hong Kong, Shanghai, and London. The company partners with the top global financial institutions, such as Citibank, Standard Chartered, Barclays, J.P. Morgan. Sunrate is also the principal member of Mastercard and Visa. To learn more about Sunrate, visit https://www.sunrate.com/.

About Mastercard

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. 

www.mastercard.com

SOURCE Sunrate

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data able to stay onshore inside their own network

SYDNEY, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that need operational data to stay onshore, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model can run on the customer’s own hardware, keeping operational data onshore.”

“For teams across Australia, New Zealand, and Singapore, two things matter: keeping data onshore, and getting answers when a job fails after hours,” said Shayne Cooper, Account Executive for APAC at JAMS Software. “JAX and JAMS MCP address both. The model can run on the customer’s own hardware, and the answer arrives in plain language at the moment it is needed.”

JAX and JAMS MCP are available now to all JAMS Web customers across Australia, New Zealand, and Singapore, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software
Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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View original content:https://www.prnewswire.com/apac/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-302833800.html

SOURCE JAMS Software

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