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Chile Buy Now Pay Later Business Report 2024: BNPL Payments are Expected to Grow by 45.2% to Reach $1.58 Billion in 2024. – Forecasts to 2029

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DUBLIN, Feb. 16, 2024 /PRNewswire/ — The “Chile Buy Now Pay Later Business and Investment Opportunities Databook – 75+ KPIs on BNPL Market Size, End-Use Sectors, Market Share, Product Analysis, Business Model, Demographics – Q1 2024 Update” report has been added to ResearchAndMarkets.com’s offering.

BNPL payments in the country are expected to grow by 45.2% on an annual basis to reach US$1.58 billion in 2024.

The medium to long-term growth story of the BNPL industry in the country remains strong. BNPL payment adoption is expected to grow steadily over the forecast period, recording a CAGR of 31.8% during 2024-2029. The BNPL gross merchandise value in the country will increase from US$1.09 billion in 2023 to reach US$6.31 billion by 2029.

The BNPL payment industry in Chile has recorded strong growth over the last four quarters, supported by increased e-commerce penetration. This report provides a detailed data-centric analysis of the Buy Now Pay Later (BNPL) industry, covering market opportunities and risks across a range of retail categories. With over 75 KPIs at the country level, this report provides a comprehensive understanding of BNPL market dynamics, market size and forecast, and market share statistics.

It breaks down market opportunities by type of business model, sales channels (offline and online), and distribution models. In addition, it provides a snapshot of consumer behaviour and retail spending dynamics. KPIs in both value and volume terms help in getting an in-depth understanding of end market dynamics.

Reasons to buy

Get a comprehensive understanding of market dynamics for Buy Now Pay Later: Identify market opportunities, major trends, and forecasting (2020-2029). Understand market trends through crucial KPIs like Gross Merchandise Value, Volume, and Average Value per Transaction, to stay ahead of the curve.Insights by end-use sectors: Evaluate new opportunities across multiple end-use sectors, and obtain market dynamics by end-use sectors in order to swiftly catch up with the latest and upcoming developments in BNPL markets.Market-specific strategies: Identify growth segments focused on specific opportunities, and analysing market-specific risks and important trends in the BNPL sector with our exclusive blend of quantitative forecasting and innovative insights.Gain knowledge of consumer attitudes and actions: This report identifies and interprets important Buy Now Pay Later KPIs, such as spend by age, gender, and income level, using data from a proprietary survey.Develop proactive and lucrative business strategies through market intelligence and forward-looking analysis of BNPL market spend and major opportunities in Chile.

Scope

Chile BNPL Market Size and Spending Pattern, 2020-2029

Gross Merchandise Value Trend AnalysisAverage Value Per Transaction Trend AnalysisTransaction Volume Trend Analysis

Chile Buy Now Pay Later Revenue Analysis, 2020-2029

Buy Now Pay Later RevenuesBuy Now Pay Later Share by Revenue SegmentsBuy Now Pay Later Revenue by Merchant CommissionBuy Now Pay Later Revenue by Missed Payment Fee RevenueBuy Now Pay Later Revenue by Pay Now & Other Income

Chile Buy Now Pay Later Operational KPIs & Statistics, 2020-2029

Buy Now Pay Later Active Consumer BaseBuy Now Pay Later Bad Debt

Chile BNPL by Purpose, 2020-2029

Convenience – Short Term LoansCredit – Long Term Loans

Chile BNPL by Business Model, 2020-2029

Two-Party (BNPL offered by retailers)Three-Party BNPL Offering

Chile BNPL by Merchant Ecosystem, 2020-2029

Open Loop SystemClosed Loop System

Chile BNPL by Distribution Model Analysis, 2020-2029

StandaloneBanks & Payment Service ProvidersMarketplaces

Chile BNPL Analysis by Channel, 2020-2029

Online ChannelPOS Channel

Chile Buy Now Pay Later in Retail Shopping: Market Size and Forecast, 2020-2029

Gross Merchandise Value Trend AnalysisAverage Value Per Transaction Trend AnalysisTransaction Volume Trend Analysis

Chile Buy Now Pay Later in Home Improvement: Market Size and Forecast, 2020-2029

Gross Merchandise Value Trend AnalysisAverage Value Per Transaction Trend AnalysisTransaction Volume Trend Analysis

Chile Buy Now Pay Later in Travel: Market Size and Forecast, 2020-2029

Gross Merchandise Value Trend AnalysisAverage Value per Transaction Trend AnalysisTransaction Volume Trend Analysis

Chile Buy Now Pay Later in Media and Entertainment: Market Size and Forecast, 2020-2029

Gross Merchandise Value Trend AnalysisAverage Value per Transaction Trend AnalysisTransaction Volume Trend Analysis

Chile Buy Now Pay Later in Services: Market Size and Forecast, 2020-2029

Gross Merchandise Value Trend AnalysisAverage Value Per Transaction Trend AnalysisTransaction Volume Trend Analysis

Chile Buy Now Pay Later in Automotive: Market Size and Forecast, 2020-2029

Gross Merchandise Value Trend AnalysisAverage Value Per Transaction Trend AnalysisTransaction Volume Trend Analysis

Chile Buy Now Pay Later in Healthcare and Wellness: Market Size and Forecast, 2020-2029

Gross Merchandise Value Trend AnalysisAverage Value Per Transaction Trend AnalysisTransaction Volume Trend Analysis

Chile Buy Now Pay Later in Others: Market Size and Forecast

Gross Merchandise Value Trend AnalysisAverage Value Per Transaction Trend AnalysisTransaction Volume Trend Analysis

Chile Buy Now Pay Later Analysis by Consumer Attitude and Behaviour

Sales Uplift by Product CategoryShare by Age GroupShare by IncomeShare by GenderAdoption RationaleAverage Monthly Expense segments

For more information about this report visit https://www.researchandmarkets.com/r/xaj6b8

About ResearchAndMarkets.com

ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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press@researchandmarkets.com 

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SOURCE Research and Markets

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CM Global Services Announces Project Santos, a Planned 50-Megawatt AI Data Center Campus in ERCOT South

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CM Global Services targets a site and engages with strategic partners to become operational in the AI data center space.

DENVER, July 23, 2026 /PRNewswire/ — CM Global Services, LLC (CMGS) today announced Project Santos, its plan to develop a 50-megawatt AI data center campus for a site in the ERCOT South grid zone. CMGS is a long-standing strategic partner of Compass Mining, Inc. and is a global provider of logistics, hardware sales, and infrastructure services, with a growing focus on AI infrastructure and building site development. The announcement was made by Shanon Squires, Chief Mining Officer of Compass Mining, during a panel on bitcoin mining companies diversifying into AI infrastructure at the Energy Investors Forum.

CMGS intends to deliver Project Santos in two phases. The first phase, a 7-megawatt, 5 MW of IT Load Tier III facility purpose-built for AI inference workloads, is targeted for completion by the end of the first quarter of 2027. A subsequent 43-megawatt expansion, bringing the site to its fully planned 50-megawatt capacity

“This is a disciplined next step for CM Global Services, drawing upon its expertise in standing up infrastructure, while Compass Mining simultaneously continues to be the gold standard in Bitcoin mining-related services,” said Shanon Squires. “Bitcoin mining remains the core of Compass Mining. CMGS’ Project Santos reflects the power infrastructure and site development discipline CMGS built over years, and we’re pursuing this initiative on our own terms.”

“This is a new step forward for CMGS, as we continue building for the future,” said Vishnu Mackenchery, Managing Director at CMGS. “Project Santos marks our entry into AI infrastructure and inference, and we’re charting our own path, moving fast to get there.”

GPU-as-a-Service for Enterprise and Neocloud Customers

Project Santos is being developed as a GPU-as-a-Service (GPUaaS) platform. Rather than requiring customers to bring their own hardware, CMGS is securing NVIDIA GB300 Blackwell GPU capacity to offer directly to off-takers as dedicated, single-tenant or multi-tenant compute. The company’s ideal customer profile is AI enterprise organizations seeking dedicated capacity, and CMGS is also in active discussions with neocloud providers.

Project Status

Site: located in the ERCOT South grid zoneCompute: CMGS is securing NVIDIA GB300 Blackwell GPU capacity to offer as GPU-as-a-Service to off-takersTotal planned capacity: 50 megawatts, 35 MW of IT to be delivered in two phasesPhase 1: 7 megawatts, 5 MW of IT load Tier III, targeted for completion by end of Q1Phase 2: adding a 43-megawatt expansion, 30 MW of IT load with utility-supported expansionCustomer profile: AI enterprise companies are the ideal customer; CMGS is also in active discussions with neocloud providers

About CMGS

CM Global Services (CMGS) is a global provider of logistics, hardware sales, and infrastructure services, with a growing focus on AI infrastructure and building site development. CMGS supports clients with end-to-end logistics solutions, hardware procurement, and site-level execution for next-generation compute infrastructure.

About CMGS and Compass Mining Partnership

Compass Mining serves as a strategic partner and advisor to CM Global Services (CMGS), supporting its growth across global logistics, hardware sales, and infrastructure services. As CMGS expands its focus into AI infrastructure and site development, Compass Mining’s guidance helps shape its strategic direction and execution. Together, the two organizations continue to collaborate on delivering end-to-end solutions for clients building next-generation compute infrastructure.

Disclaimer

This communication contains forward-looking statements relating to a potential closing of a transaction. There can be no assurance that the proposed transaction will be completed on the terms described, or at all. Forward-looking statements are subject to significant business, economic, and competitive uncertainties, many of which are beyond our control. This communication is for informational purposes only and does not constitute an offer to sell, or a solicitation of an offer to buy, any securities of the company. Furthermore, investing in or engaging with our company involves substantial risk, and past performance or previous communications are not indicative of future results. There is no guarantee, assurance, or warranty that any specific financial outcome, return on investment, or overall results will be achieved. Actual results may differ materially and adversely from those expressed, projected, or implied in any forward-looking statements. Investors and stakeholders should not rely solely on preliminary press releases regarding potential transactions or projected financial metrics when making investment decisions. We undertake no obligation to publicly update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by applicable securities laws. Prospective investors are strongly encouraged to conduct their own independent due diligence and consult with a qualified, independent financial or legal advisor prior to making any investment.

Contact
All inquiries can be made to: Santos@CMGlobalServices.io 

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Advantech Unveils Next-Gen AI Infrastructure Solutions Powered by AMD EPYC™ 9006 Series Processors

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TAIPEI, July 23, 2026 /PRNewswire/ — Advantech, a global leader in industrial edge computing and edge AI solutions, today announced its next-generation server and network platforms powered by the latest AMD EPYC™ 9006 Series processors. Designed to accelerate AI infrastructure from the data center to the intelligent edge, Advantech’s 6th Gen AMD EPYC-powered servers deliver the performance, scalability, and reliability organizations need for AI, HPC, storage, networking, and mission-critical industrial workloads.

At AMD Advancing AI 2026, Advantech will showcase its latest 2U 4-node edge server and EATX server board, demonstrating how its workload-ready server solutions enable customers to build scalable, high-performance AI and edge computing infrastructure with greater deployment confidence.

Continuing Performance Leadership with AMD EPYC 9006 Series Processors

6th Gen AMD EPYC server CPUs bring continued leadership in performance, efficiency, memory bandwidth, and next-generation I/O. Featuring up to 128 cores and 256 threads, advanced 2nm process technology, “Zen 6” and “Zen 6c” architecture, up to 20% average generational performance uplift, and up to 20% performance-per-watt improvement, AMD EPYC 9006 Series processors are designed to support more virtual machines, higher throughput, and better system efficiency. With up to 128 PCIe Gen6 lanes per CPU, CXL™ 3.1 memory expansion, and support for DDR5 8000NHz and MRDIMM 12800MHz for high memory bandwidth, Advantech edge server solutions deliver balanced compute, memory, and I/O performance for next-generation AI, telco, edge, and storage infrastructure.

Key Features Include:

Up to 128 cores / 256 threads with “Zen 6” and “Zen 6c” architectureAdvanced 2nm process technology for improved performance and efficiencyUp to 20% average generational performance uplift and 20% performance-per-watt improvementDDR5-8000 and MRDIMM 12.8G support for higher memory bandwidth and capacityPCIe® Gen6 scalability: up to 128 lanes for 1 CPU and up to 196 lanes for 2 CPUsCXL™ 3.1 support for optimized memory expansion

Comprehensive Edge Server Solutions from Edge to Cloud

Advantech’s edge server portfolio powered by AMD EPYC™ 9006 Series processors delivers a complete board-to-system lineup for AI infrastructure, data centers, cloud, HCI, HPC, edge computing, industrial applications, and high-performance networking. The first-wave portfolio includes:
(1) The SKY-642E5, 4U MGX GPU server, for large-scale AI acceleration
(2) The SKY-722E5, 2U DC-MHS server with DC-SCM support, for modular data center and edge AI deployments
(3) The SKY-712E5, 1U DC-MHS server, supporting HHHL and FH-3/4L expansion cards for high-density enterprise edge and cloud workloads
(4) The SKY-822E5, 2U short-depth DC-SCM modular server, supporting 2–3 dual-slot GPU cards for space-constrained edge data centers
(5) The SKY-924E5F, 2U 4-node front-access server, for distributed edge computing,
(6) The ASMB-982 & ASMB-832 server boards for flexible, high-expandability system designs.

These new platforms also support PCIe Gen6 scalability, GPU-optimized architecture, advanced DDR5/MRDIMM memory, and AFA-ready high-density E1.S/E3.S NVMe SSD storage to meet low-latency data access, high-throughput storage performance, and scalable infrastructure for data-intensive AI and edge-cloud workloads.

Expanding the portfolio further, Advantech also introduces the FWA-6084, the 2U network appliance and is designed for demanding network security and edge AI workloads. It features DDR5/MRDIMM memory capability, eight Gen6 network module cards, and one PCIe Gen5 x16 slot for GPU or add-on card expansion. It is well positioned to support line-speed multiple 200G network workloads without compromise.

Together with Advantech’s unique service advantages—including 3-5-10 service guarantee, strict revision control, stable component supply, worldwide local support, and custom-ready integration—the new portfolio supports customers reduce deployment risk, secure long-term product roadmaps, and accelerate workload-ready AI and edge-cloud infrastructure from concept to deployment.

Explore more product information, please contact us or visit the Advantech x AMD website.

About Advantech

Advantech is a global leader in IoT intelligent systems and embedded platforms, driven by its vision of “Enabling an Intelligent Planet.” To address the growth of edge computing and AI, Advantech focuses on five key markets: Edge Intelligence Systems, Manufacturing, Energy and Utilities, iHealthcare, and iCity Services & iRetail. By integrating edge computing hardware, WISE-IoT software, sector-specific AI solutions, and domain expertise, Advantech creates an orchestration model that connects industrial ecosystems and accelerates industrial intelligence with partners and customers.(www.advantech.com

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SOURCE Advantech Co., Ltd.

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MulticoreWare and AMD Collaborate to Advance Physical AI and Autonomous Robotics on AMD Platforms

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Companies Demonstrated Real-Time Multimodal AI and Vision-Language-Action Workflows on AMD Ryzen™ AI Platforms at AMD Advancing AI 2026

SAN JOSE, Calif., July 23, 2026 /PRNewswire/ — MulticoreWare, Inc., a global technology company specializing in AI software solutions, physical AI, accelerated computing, and engineering services, today announced its ongoing collaboration with AMD to advance autonomous robotics and edge intelligence on AMD platforms.

As part of this collaboration, MulticoreWare joined AMD at AMD Advancing AI 2026 to present ‘Enabling Physical AI on AMD’, demonstrating how advanced vision, language, and action (VLA) models can drive real-time robotic intelligence on AMD Ryzen™ AI Embedded platforms.

As AI increasingly moves from the cloud into robots, autonomous systems, and intelligent edge devices, organizations need efficient ways to run sophisticated AI models closer to where decisions need to be made. Together, AMD and MulticoreWare are helping developers bring advanced perception, reasoning, and action capabilities to AMD-powered systems.

At AMD Advancing AI 2026, AMD and MulticoreWare demonstrated how multimodal VLA models run on AMD Ryzen™ AI Embedded integrated GPUs using AMD ROCm™, enabling robots to perceive, reason, and act in real time. The session showcased practical guidance for AI developers, robotics engineers, and innovators building next-generation intelligent machines on AMD Embedded platforms.

“Physical AI is reshaping how machines perceive, decide and act in the real world,” said Sumit Shah, Head of Product Management and Marketing, Adaptive and Embedded Computing Group, AMD. “AMD Ryzen™ AI Embedded X100 Series processors deliver a scalable, open x86 Embedded platform that unifies AI, real-time control and industrial reliability to enable the generation of autonomous systems without locking developers into a single compute architecture or software stack.”

“A Physical AI system depends on a tightly integrated loop between perception and actuation. It must operate in real time, on real hardware, and in environments that are inherently unpredictable,” said Vish Rajalingam, VP & GM, Mobility and Transportation BU at MulticoreWare. “That makes it a hardware-software co-design challenge, not simply an AI inference problem. Building on the open-source AMD Robotics Software Suite, we work closely with OEMs to optimize the entire stack so that latency, reliability and accuracy targets are consistently achieved in production environments. That’s the integration MulticoreWare and AMD deliver together to move intelligent robotic systems from prototype to deployment.”

This session builds on more than 15 years of collaboration, with MulticoreWare delivering software optimization, AI, and engineering expertise across the AMD ecosystem, including Ryzen™ AI, Ryzen™, AMD EPYC™, AMD Instinct™, AMD Radeon™, and adaptive computing technologies.

About MulticoreWare

MulticoreWare, Inc. is a global technology company delivering AI software solutions and engineering services that accelerate innovation in Physical AI, Agentic AI, Robotics, Edge Intelligence, and Accelerated Computing. With expertise in multimodal AI, Vision-Language-Action (VLA) models, sensor perception and fusion, AI optimization, embedded systems, and high-performance software, MulticoreWare helps customers transform advanced AI technologies into production-ready solutions. Its innovations power applications across automotive, robotics, industrial automation, smart cities, healthcare, defense, and intelligent edge devices, while its video codec technologies enable next-generation video experiences worldwide.
www.multicorewareinc.com

AMD, the AMD Arrow logo, EPYC, Instinct, Radeon, Ryzen and combinations thereof are trademarks of Advanced Micro Devices, Inc.

Contact:
Suchithra Thyagarajan
VP – Corporate Marketing
marcom@multicorewareinc.com 

 

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SOURCE MulticoreWare Inc.

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