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Belgium Buy Now Pay Later Business Report 2024: Market to Grow by 16.2% to Reach $4 Billion in 2024 – Forecasts to 2029

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DUBLIN, Feb. 14, 2024 /PRNewswire/ — The “Belgium 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 are expected to grow by 16.2% on an annual basis to reach US$4.00 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 10.8% during 2024-2029. The BNPL gross merchandise value in the country will increase from US$3.44 billion in 2023 to reach US$6.70 billion by 2029.

The BNPL payment industry in Belgium 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 Belgium.

Scope

Belgium BNPL Market Size and Spending Pattern, 2020-2029

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

Belgium 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

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

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

Belgium BNPL by Purpose, 2020-2029

Convenience – Short Term LoansCredit – Long Term Loans

Belgium BNPL by Business Model, 2020-2029

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

Belgium BNPL by Merchant Ecosystem, 2020-2029

Open Loop SystemClosed Loop System

Belgium BNPL by Distribution Model Analysis, 2020-2029

StandaloneBanks & Payment Service ProvidersMarketplaces

Belgium BNPL Analysis by Channel, 2020-2029

Online ChannelPOS Channel

Belgium 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

Belgium 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

Belgium 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

Belgium 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

Belgium 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

Belgium 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

Belgium 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

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

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

Belgium 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/lzrsik

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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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Technology

Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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on

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Air Products to Expand Industrial Gas Supply for Samsung Electronics’ Next-Generation Semiconductor Fab in South Korea

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New investment underscores the company’s long-term commitment to Korea and its leading role in the global semiconductor industry 

LEHIGH VALLEY, Pa., April 29, 2026 /PRNewswire/ — Air Products (NYSE:APD), a world-leading industrial gases company and serving Samsung globally, today announced it has been selected by Samsung to supply industrial gases for its new advanced semiconductor fab in Pyeongtaek, Gyeonggi Province, South Korea.

Under the agreement, Air Products will build, own and operate multiple state-of-the-art production facilities and a bulk specialty gas supply system to supply nitrogen, oxygen, argon, and hydrogen for Samsung’s new semiconductor fab. The new facilities are expected to come onstream in multiple phases from 2028 through 2030.

Air Products has a long track record of executing multiple phase expansions in Pyeongtaek to support Samsung’s growing manufacturing needs. This latest project represents Air Products’ largest investment to date in the semiconductor industry and will establish Pyeongtaek as the company’s single largest operations site globally supporting the electronics industry. 

“Air Products is honored to be selected once again by Samsung and to have their continued confidence as a trusted partner supporting their strategic growth plans,” said SR Kim, President, Air Products Korea. “This significant investment reinforces Air Products’ role as a leading global supplier to the semiconductor industry and underscores our long-standing commitment to supporting our strategic customers with safety, reliability, efficiency and excellent service.”

Air Products has served the global electronics industry for more than 40 years, supplying industrial gases safely and reliably to many of the world’s leading technology companies. The company has operated in Korea for more than 50 years and has established a strong position in electronics and manufacturing sectors.

About Air Products

Air Products (NYSE: APD) is a world-leading industrial gases company in operation for over 85 years focused on serving energy, environmental, and emerging markets and generating a cleaner future. The Company supplies essential industrial gases, related equipment and applications expertise to customers in dozens of industries, including refining, chemicals, metals, electronics, manufacturing, medical and food. As the leading global supplier of hydrogen, Air Products also develops, engineers, builds, owns and operates some of the world’s largest clean hydrogen projects, supporting the transition to low- and zero-carbon energy in the industrial and heavy-duty transportation sectors. Through its sale of equipment businesses, the Company also provides turbomachinery, membrane systems and cryogenic containers globally.

Air Products had fiscal 2025 sales of $12 billion from operations in approximately 50 countries. For more information, visit airproducts.com or follow us on LinkedInXFacebook or Instagram.

This release contains “forward-looking statements” within the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are based on management’s expectations and assumptions as of the date of this release and are not guarantees of future performance. While forward-looking statements are made in good faith and based on assumptions, expectations and projections that management believes are reasonable based on currently available information, actual performance and financial results may differ materially from projections and estimates expressed in the forward-looking statements because of many factors, including the risk factors described in our Annual Report on Form 10-K for the fiscal year ended September 30, 2025 and other factors disclosed in our filings with the Securities and Exchange Commission. Except as required by law, we disclaim any obligation or undertaking to update or revise any forward-looking statements contained herein to reflect any change in the assumptions, beliefs or expectations or any change in events, conditions or circumstances upon which any such forward-looking statements are based.

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