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Global Silicon Photonics and Optical I/O Test & Measurement Systems Market | USA, China, Taiwan Lead | Keysight Technologies, Advantest, FormFactor Drive Next-Gen AI Infrastructure Validation

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NEWARK, Del., April 29, 2026 /PRNewswire/ — According to the latest analysis by Future Market Insights, the global silicon photonics and optical I/O test and measurement systems market is entering a transformative growth phase, driven by the rapid expansion of AI data centers, high-performance computing, and next-generation optical interconnect architectures. Valued at USD 1.2 billion in 2025, the market is expected to reach USD 1.4 billion in 2026 and further expand to USD 3.9 billion by 2036, registering a CAGR of 10.8%.

For semiconductor manufacturers, hyperscale data center operators, and test equipment providers, optical I/O validation systems are no longer niche tools—they are becoming essential infrastructure for enabling high-speed, energy-efficient computing environments.

Quick Stats – Silicon Photonics & Optical I/O Test Systems Market

Market Size (2025): USD 1.2 BillionMarket Size (2026): USD 1.4 BillionForecast Value (2036): USD 3.9 BillionCAGR (2026–2036): 10.8%Leading Segment (2026): Wafer Test (31.0%)Key Measurement Mode: Electro-Optical (E/O) Testing (28.0%)Top Application Segment: Datacom (35.0%)Top Growth Markets: China (12.4%), Taiwan (12.1%), South Korea (11.6%), United States (10.8%)Key Players: Keysight Technologies, Advantest, FormFactor, Anritsu, EXFO

Get detailed market forecasts, competitive benchmarking, and pricing trends:
https://www.futuremarketinsights.com/reports/sample/rep-gb-32533

Executive Insight for Decision Makers

The silicon photonics testing market is at a critical inflection point where thermal efficiency, bandwidth scaling, and AI workload demands are redefining semiconductor validation strategies. As electrical interconnects approach physical and power limits, optical I/O architectures are becoming essential—creating a surge in demand for advanced photonic test systems.

Organizations that fail to integrate optical validation into semiconductor workflows risk yield losses, performance bottlenecks, and failure to qualify for next-generation AI hardware deployments. In contrast, companies investing in automated wafer-level photonics testing and hybrid electro-optical platforms are gaining a competitive edge in high-volume production environments.

Market Momentum: Powering Optical Computing Transition

Three structural forces are accelerating adoption globally:

AI Data Center Expansion: Rising power consumption is pushing a shift from copper interconnects to optical I/OYield Optimization Pressure: Foundries are adopting wafer-level photonics testing to ensure “known good die” before packagingBandwidth Density Requirements: Transition to 1.6T and 3.2T networking is driving demand for high-speed optical validation

Silicon photonics testing is evolving from lab-based characterization to high-throughput, production-line validation systems integrated into semiconductor manufacturing workflows.

Segment Leadership Defining Market Direction

Wafer-Level Testing (31.0%) dominates as it reduces costly post-packaging defectsE/O and O/E Testing (28.0%) is critical for validating optical signal conversion efficiencyDatacom Segment (35.0%) leads due to continuous upgrades in data center interconnects

Adoption is expanding across AI accelerators, optical transceivers, co-packaged optics, and high-performance computing systems, where precision and speed are mission-critical.

Speak to Analyst: Customize insights for your business strategy:    
https://www.futuremarketinsights.com/customization-available/rep-gb-32533

Regional Growth Landscape

China (12.4% CAGR): Growth driven by domestic semiconductor expansion and self-sufficiency initiativesTaiwan (12.1% CAGR): Leadership in advanced packaging and optical chiplet integrationSouth Korea (11.6% CAGR): Strong demand from memory and HBM innovationUnited States (10.8% CAGR): AI-driven demand and hyperscale data center investmentsGermany (9.1% CAGR): Precision engineering and photonics applications in automotive and healthcare

Global demand is closely tied to semiconductor fabrication capacity, AI infrastructure investments, and photonic integration roadmaps.

Competitive Landscape: Precision Meets Scale

The market is highly specialized, with competition driven by alignment precision, throughput efficiency, and hybrid testing capabilities:

Keysight Technologies – Leading hybrid electrical-optical test platformsAdvantest – Expanding semiconductor ATE with photonics integrationFormFactor – Specializing in sub-micron probe and alignment systemsAnritsu – Advancing high-speed optical measurement solutionsEXFO – Providing optical network validation and certification tools

Competition is increasingly defined by alignment speed, wafer-level integration, and the ability to combine optical and electrical testing into unified platforms.

Strategic Takeaways

Foundries: Invest in wafer-level photonics testing to improve yield and reduce packaging costsTest Equipment Vendors: Develop hybrid electro-optical platforms for integrated validationData Center Operators: Ensure optical I/O validation for AI workloads and energy efficiencyInvestors: Focus on companies enabling optical interconnect scaling and AI infrastructure

Why This Market Matters

The silicon photonics and optical I/O test systems market is emerging as a critical backbone of next-generation computing infrastructure. As AI workloads, data traffic, and energy demands escalate, optical interconnects provide the only scalable path forward.

With increasing reliance on photonic integrated circuits and co-packaged optics, testing systems are becoming indispensable to ensure performance, reliability, and manufacturability at scale.

For forward-looking stakeholders, this market represents not just steady growth—but a fundamental shift toward optical computing architectures powering the future of AI, data centers, and high-speed connectivity.

Unlock 360° insights for strategic decision making and investment planning:     
https://www.futuremarketinsights.com/checkout/32533

Related Reports:     

Communication Test and Measurement Market – https://www.futuremarketinsights.com/reports/communication-test-and-measurement-market

Test and Measurement Sensors Market – https://www.futuremarketinsights.com/reports/test-and-measurement-sensors-market

Integrated Photonics Test & Reliability Systems Market – https://www.futuremarketinsights.com/reports/integrated-photonics-test-reliability-systems-market

6G Integrated Sensing and Communication (ISAC) Test Solutions Market – https://www.futuremarketinsights.com/reports/6g-integrated-sensing-and-communication-isac-test-solutions-market

6G Massive MIMO Beamforming Validation Test Equipment Market – https://www.futuremarketinsights.com/reports/6g-massive-mimo-beamforming-validation-test-equipment-market

About Future Market Insights (FMI) 

Future Market Insights (FMI) is a leading provider of market intelligence and consulting services, serving clients in over 150 countries. Headquartered in Delaware, USA, with a global delivery center in India and offices in the UK and UAE, FMI delivers actionable insights to businesses across industries including automotive, technology, consumer products, manufacturing, energy, and chemicals. 

An ESOMAR-certified research organization, FMI provides custom and syndicated market reports and consulting services, supporting both Fortune 1,000 companies and SMEs. Its team of 300+ experienced analysts ensures credible, data-driven insights to help clients navigate global markets and identify growth opportunities. 

For Press & Corporate Inquiries 

Rahul Singh 
AVP – Marketing and Growth Strategy 
Future Market Insights, Inc. 
+91 8600020075 
For Sales - sales@futuremarketinsights.com 
For Media - Rahul.singh@futuremarketinsights.com 
For web - https://www.futuremarketinsights.com/ 

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SOURCE Future Market Insights

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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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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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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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SOURCE Air Products

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