Technology
Spatial Computing Market Size to Grow USD 1304 Million by 2030 at a CAGR of 13.1% | Valuates Reports
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1 year agoon
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BANGALORE, India, Feb. 27, 2024 /PRNewswire/ — Spatial Computing market is Segmented by Type (Software/Platform, Service), by Application (Healthcare, Transport, Engineering, Education, Architecture, Manufacturing, Entertainment, Automotive, Others): Global Opportunity Analysis and Industry Forecast, 2024-2030.
The global Spatial Computing market was valued at USD 551 million in 2023 and is anticipated to reach USD 1304 million by 2030, witnessing a CAGR of 13.1% during the forecast period 2024-2030.
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Major Factors Driving the Growth of Spatial Computing Market
The development of augmented reality (AR), virtual reality (VR), and mixed reality (MR) technologies, which allow for immersive digital experiences and interactions with the real world, is one of the drivers driving the growth of the spatial computing industry. Businesses in a variety of industries are using spatial computing to transform the way they develop, simulate, collaborate, and visualize data in three dimensions as these technologies become more widely available and powerful. Furthermore, the application of spatial computing is spurring innovation, raising efficiency, boosting consumer experiences, and opening up new avenues for interactive storytelling and content production in sectors including gaming, education, healthcare, manufacturing, and retail.
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TRENDS INFLUENCING THE GROWTH OF SPATIAL COMPUTING MARKET
The market for spatial computing is mostly driven by the ongoing developments in AR and VR technology. These technologies make it possible to create immersive virtual environments (VR) or to overlay digital information over the real world (AR). The need for spatial computing solutions that make use of AR and VR for a variety of applications, including teaching, gaming, and visualization, is anticipated to increase dramatically as these technologies become more advanced and widely available. The potential of mixed reality (MR), which combines aspects of virtual reality and augmented reality, to seamlessly merge digital material with the real world is gaining popularity across sectors. Immersion experiences, interactive simulations, and data visualization are made possible by MR solutions.
The need for location-based services (LBS) is increasing, which is driving the market for spatial computing. Personalized information, navigation, and services are provided by LBS based on the geographic position of the user by using spatial data. The need for spatial computing solutions to support the creation of cutting-edge location-based services (LBS) in a variety of industries, such as retail, transportation, and tourism, is growing due to the widespread use of smartphones, wearables, and Internet of Things (IoT) devices that are outfitted with GPS and other positioning technologies. The construction of intelligent, location-aware systems and settings is made possible by the integration of spatial computing with the Internet of Things (IoT), which is propelling market expansion. Indoor positioning systems (IPS) and sensor fusion algorithms are examples of spatial computing technologies that can improve Internet of Things applications by offering real-time spatial awareness.
By providing voice commands, immersive interfaces, and intuitive gestures, spatial computing enables more natural types of human-computer interaction (HCI) and improved user experiences. Spatial computing solutions are essential in providing seamless, intuitive, and contextually relevant experiences across a variety of devices and platforms, as consumers want more immersive and engaging interactions with digital material and gadgets. The need for spatial computing solutions is being driven by the gaming and entertainment sectors, which are utilizing AR, VR, and MR technologies to provide interactive storytelling, immersive gaming experiences, and location-based entertainment. Spatial computing is changing how people consume and engage with digital entertainment material, propelling market growth in several industries from virtual reality theme parks to augmented reality mobile apps.
The market for spatial computing is expanding due to the development of digital twin technology, which makes it possible to create virtual copies of real assets, settings, and systems. In sectors including manufacturing, healthcare, and urban planning, digital twins use spatial computing to synchronize real-time data with virtual models, enabling predictive analytics, remote monitoring, and simulation-based decision-making.
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SPATIAL COMPUTING MARKET SHARE ANALYSIS
Due to the existence of major industry participants, technical advancements, and a strong consumer desire for immersive experiences, North America now leads the world market for spatial computing. The area is known for its cutting-edge infrastructure, large R&D expenditures, and a legal framework that encourages innovation in augmented reality (AR), virtual reality (VR), and mixed reality (MR) technology.
The United States’ Silicon Valley and Canada’s research institutes are major tech hubs that support the region’s leadership in spatial computing. Further driving market expansion is the extensive use of spatial computing solutions in North America across a range of industries, such as gaming, entertainment, healthcare, and education.
Key Players:
MicrosoftAmazonMagic Leap Limited
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Technology
Precision for Medicine and PathAI Announce Strategic Collaboration to Advance AI-Powered Clinical Trial Services and Biospecimen Products
Published
22 minutes agoon
April 25, 2025By

Collaboration will deliver innovative AI-powered pathology tools and quality control enhancements to accelerate clinical trials and biomarker discovery
BOSTON and FREDERICK, Md., April 25, 2025 /PRNewswire/ — Precision for Medicine, a leading provider of next generation drug development research and services, and PathAI, a global leader in digital pathology, today announced a strategic collaboration to partner on developing novel AI-based technologies and to integrate PathAI’s advanced digital pathology and analysis capabilities across Precision for Medicine’s clinical trial and biospecimen operations.
This collaboration includes use of several PathAI technologies and establishes an agreement to offer novel tools and analytical services that address emerging needs in biomarker discovery, spatial biology, and tissue-based clinical research. Through this collaboration PathAI’s tools and services will help augment Precision for Medicine’s proprietary pipeline providing biopharma clients with access to imaging workflows offered through Precision for Medicine’s integrated laboratory and clinical trial services.
“Together, we’re deploying tools that add critical quality control steps to tumor biopsy workflows and apply machine-based learning and unsupervised algorithms early in the development cycle to help identify which biomarkers are most relevant for clinical efficacy,” said Darren Davis, PhD, Senior Vice President Global Digital Pathology, Genomics and Liquid Biopsy Solutions. “Precision for Medicine’s CLIA compliant laboratory enables precise patient stratification and accelerate decision-making in clinical trials, ultimately supporting success in areas of high unmet need.”
As part of the agreement, Precision for Medicine will deploy select tools from PathAI, including AISight®, a digital pathology image management system, and other AI-powered algorithms to enhance biospecimen and clinical trial services. These tools will enable the application of validated, algorithm-based quality control steps to biospecimen analysis, improving consistency and data reliability.
The collaboration will also support the use of PathAI’s leading AI capabilities leveraging best in class machine learning based models to enhance Precision for Medicine multi-modal datasets. The technology reduces large, complex biomarker panels to scalable, and actionable, biomarkers to help interpret complex tissue biology to complement translational research programs. Additionally, the companies will work together to analyze complex tissue biology empowering biopharma clients to understand and identify the right patients for the right therapies, faster.
“At PathAI, our mission is to harness the power of artificial intelligence to improve the accuracy, depth, and efficiency of pathology-driven insights,” said Andy Beck, MD, PhD, Co-founder and CEO of PathAI. “We are thrilled to collaborate with Precision for Medicine to help advance our mission and deliver differentiated value to our mutual customers.”
Precision’s collaboration with PathAI brings unique value to biopharma clients by combining these AI tools with proprietary wet lab infrastructure, centralized clinical trial operations, and scientific oversight. The innovative tools generated through this collaboration will only be available through Precision for Medicine’s services, providing a level of integration and customization not offered elsewhere in the industry.
“This collaboration enhances how we’re using our biospecimen business by enabling deeper, more informative analyses of the tissue samples we provide to our clients,” said Cullen Taylor, MD, Medical Director at Precision for Medicine. “We’re adding an entirely new layer of cellular-level insight on top of already well-annotated sequenced samples, going far beyond what traditional pathology assessments can offer. It’s a meaningful step forward in how we support biomarker discovery, enhancing datasets for diagnostic validation and therapeutic development.”
About Precision for Medicine
Precision for Medicine is the first biomarker-driven clinical research and development services organization supporting life sciences companies in the use of biomarkers essential to targeting patient treatments more precisely and effectively. Precision applies a transformational approach to clinical research that integrates clinical trial design and execution with deep scientific knowledge, laboratory expertise, data sciences and advanced manufacturing solutions. This convergence is driving faster clinical development and approval. Precision for Medicine is part of Precision Medicine Group, with 3,500 people in 40 locations globally across North America, Europe and Asia-Pacific. For more information, visit precisionformedicine.com
Contact
Andie Lunkenheimer
andie.lunkenheimer@gcihealth.com
About PathAI
PathAI is a leading provider of integrated AI and digital pathology solutions dedicated to transforming diagnostic accuracy and operational efficiency in pathology labs worldwide. Through innovative technologies and strategic partnerships, PathAI aims to enhance patient outcomes and drive the future of medical diagnostics. For more information, please visit pathai.com
Contact
Owen Blaschak
oblaschak@lifescicomms.com
Footnote
1AISight is for Research Use Only in the US; AISight Dx is CE-IVDR in Europe and UKCA in UK
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SOURCE PRECISION FOR MEDICINE
Technology
Global Photo Detector Market to Hit $5.9 Billion by 2030, Driven by Advancements in Consumer Electronics and Automotive Applications | Valuates Reports
Published
23 minutes agoon
April 25, 2025By

BANGALORE, India, April 25, 2025 /PRNewswire/ — Photo Detector Market is Segmented by Type (Portable Type, Stationary Type), by Application (Consumer Electronics, Industrial Equipment, Aerospace And Defense, Automobile).
The Global Photo Detector Market was valued at USD 3510.1 Million in 2023 and is anticipated to reach USD 5918.5 Million by 2030, witnessing a CAGR of 7.6% during the forecast period 2024-2030.
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Major Factors Driving the Growth of Photo Detector Market:
Demand for photo detectors is accelerating because optical sensing has become a foundational layer of digital transformation across industries. Smartphones, wearables, ADAS vehicles, smart-buildings, drones, biomedical test kits, and quantum-secure networks all rely on photodiodes, SPAD arrays, or CMOS image sensors to convert light into actionable data. Every new feature such as face authentication, lidar depth mapping, fluorescence-based diagnostics, hyperspectral crop analysis, or single-photon encryption in turn adds more detector channels per device. At the same time, manufacturing efficiencies and government semiconductor incentives are pushing device prices down, widening the addressable pool of applications. Tighter safety, energy-efficiency, and quality regulations further mandate redundant optical sensors in consumer and industrial equipment, turning photodetectors from optional components into non-negotiable design wins and locking in multiyear shipment growth.
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TRENDS INFLUENCING THE GROWTH OF THE PHOTO DETECTOR MARKET:
Portable photodetectors convert smartphones, wearables, drone payloads, and field-testing gadgets into ubiquitous optical laboratories, shifting measurement from centralized benches to the network edge. Integration with low-power microcontrollers lets environmental scientists verify air quality on mountain trails and agronomists gauge chlorophyll in remote paddies, all without mains electricity. High-volume handset manufacturing cuts module cost below a dollar, making photoplethysmography and time-of-flight depth mapping commonplace in consumer devices. This mass adoption primes suppliers with cash flow to fund R&D for ultraviolet-C pathogen detection. Start-ups exploit open Bluetooth profiles to link photodiodes with cloud dashboards, spawning subscription services for athletes, diabetics, and construction inspectors, thus transforming one-time hardware sales into durable recurring revenue.
Stationary photodetector systems, anchored in traffic intersections, semiconductor fabs, and utility substations, serve applications where stability, throughput, and calibration precision outweigh mobility. Smart-city planners layer lidar-based monitors with multispectral cameras to quantify vehicle counts, pedestrian flow, and emissions in real time, feeding AI engines that optimize signal timing and congestion pricing. In manufacturing, fixed spectrophotometers inspect wafer lithography or beverage clarity at line rates exceeding ten-thousand samples per hour, eliminating costly manual sampling. Utility operators embed photodiodes within switchgear to detect early arc-flash signatures, pre-empting outages. Because these installations lock customers into multi-year calibration and analytics contracts, stationary solutions generate predictable after-sales income that cushions vendors against smartphone-cycle volatility. Over time, artificial-intelligence upgrades further enhance data value and extend replacement intervals.
Consumer electronics set the cadence for innovation in photodetector pixel density, quantum efficiency, and power budget. Each flagship smartphone integrates a growing constellation of optical modules—structured-light projectors for secure face unlock, laser autofocus, depth-sensing SPAD arrays, and ambient-color sensors that tune display white balance in real time. Smart-TV OEMs add gesture-recognition cameras to remote-free interfaces, while VR headsets string four or more inside-out tracking cameras around the visor, each dependent on high-frame-rate photodiodes with low dark current. The fierce feature race forces yearly redesigns, compressing product lifecycles and driving wafer starts at mixed-signal foundries. Volume economics from this consumer onslaught cascade into industrial and medical tiers, lowering barriers for niche deployments. Accessory ecosystems—ring lights, gimbals, and AR spectacles—likewise embed auxiliary photodetectors, magnifying aggregate demand.
ADAS multiplies photodetector channels per car. Solid-state lidar arrays use dense SPAD networks to perceive pedestrians in fog, while interior driver-monitoring cameras employ NIR sensors to track distraction. Euro-NCAP protocols now demand automatic emergency braking and intelligent speed assistance, making multi-spectral optical sensing mandatory for five-star safety ratings. Tier-one suppliers sign decade-long volume contracts, ensuring foundry utilization. Premium carmakers differentiate with 4D lidar featuring single-photon avalanche diodes capable of picosecond timing, commanding high ASPs. Automotive qualification cycles create durable revenue annuities, while over-the-air firmware updates unlock advanced features, encouraging owners to subscribe, further monetizing embedded photodetectors.
In point-of-care diagnostics, photodetectors form the critical read-out engine that turns biochemical reactions into quantifiable digital signals within minutes. Disposable test cartridges—ranging from lateral-flow COVID assays to microfluidic HbA1c panels—use embedded photodiodes or compact CMOS sensors to measure colorimetric or fluorescent changes produced by antigen–antibody binding or enzymatic activity. Because these detectors can resolve subtle intensity shifts, clinicians obtain lab-comparable accuracy at the bedside or pharmacy counter without bulky spectrophotometers. Pharmacy chains bundle readers with subscription data services, generating predictable consumable pull-through. Developing economies adopt low-cost photodiode readers to offset limited lab infrastructure, broadening geographic revenue.
LEED, BREEAM, and national green codes mandate daylight harvesting and occupancy-based lighting controls, all dependent on lux and presence detection. Ultra-low-dark-current diodes keep standby power at micro-watt level, vital for sensor grids in commercial campuses. Performance-contract financiers bundle hardware, installation, and savings guarantees, shifting CapEx to OpEx and accelerating upgrades. LED-driver ICs now ship with integrated photodiode feedback loops, simplifying design and boosting attach rates. Carbon-reduction targets create repeat retrofit cycles as efficacy thresholds tighten.
Hyperspectral drones and satellite surveys rely on high-QE detector arrays to monitor nitrogen uptake, fungal infections, and water stress at centimetre resolution. Variable-rate applicators cut fertilizer and pesticide usage up to thirty percent, justifying sensor investment. Governments subsidize agritech drones to meet sustainable-yield targets, injecting predictable demand. Commodity traders and crop-insurance firms pay for real-time imagery, creating secondary revenue channels for detector OEMs.
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PHOTO DETECTOR MARKET SHARE
Asia-Pacific commands over half of global shipments, buoyed by China’s smartphone corridors, South Korea’s display fabs, and Japan’s automotive-camera exports; semiconductor-sovereignty subsidies multiply wafer lines and shorten supply chains.
North America and Europe together generate roughly one-third of revenue, driven by defense imaging, quantum research, and stringent safety rules that lift unit ASPs. Latin America and MEA trail in volume yet post double-digit growth through smart-city and agritech pilots, providing geographic diversification that cushions cyclical downturns.
Key Companies:
Hamamatsu PhotonicsVishayFinisar Corporation Analog Devices IncHamamatsuOsramBoschThorlabsPicometrix LLC
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– High Speed Photodetector Market was valued at USD 1507 Million in the year 2024 and is projected to reach a revised size of USD 2947 Million by 2031, growing at a CAGR of 10.2% during the forecast period.
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– APD Photodetector Chips Market was valued at USD 169 Million in the year 2023 and is projected to reach a revised size of USD 222 Million by 2030, growing at a CAGR of 4.3% during the forecast period.
– Single-Photon Avalanche Photodiode Detector Market was valued at USD 684 Million in the year 2024 and is projected to reach a revised size of USD 1060 Million by 2031, growing at a CAGR of 6.1% during the forecast period.
– Silicon-Based Photodetector Market revenue was USD 137 Million in 2022 and is forecast to a readjusted size of USD 219.8 Million by 2029 with a CAGR of 6.9% during the forecast period (2023-2029).
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Valuates offers in-depth market insights into various industries. Our extensive report repository is constantly updated to meet your changing industry analysis needs.
Our team of market analysts can help you select the best report covering your industry. We understand your niche region-specific requirements and that’s why we offer customization of reports. With our customization in place, you can request for any particular information from a report that meets your market analysis needs.
To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains a detailed research methodology employed to generate the report. Please also reach our sales team to get the complete list of our data sources.
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Technology
Quaxs Trading Center Unveils New Feature Suite to Enhance User Trading Experience Globally
Published
23 minutes agoon
April 25, 2025By

Quaxs Trading Center has officially released a comprehensive suite of new features, including real-time strategy tools, personalized portfolio dashboards, and improved order execution mechanisms, aimed at redefining the user trading experience and solidifying its position in the global digital asset market.
PHOENIX, April 25, 2025 /PRNewswire-PRWeb/ — Quaxs Trading Center, the flagship cryptocurrency trading platform under the Quaxs brand, today announced the launch of a robust set of platform enhancements designed to empower global users with smarter, faster, and more intuitive digital asset trading tools. The rollout is part of Quaxs’ broader mission to create a high-performance trading environment aligned with the needs of both retail and institutional investors.
The newly released features include:
Smart Order Routing (SOR): Advanced routing algorithms that automatically seek optimal prices across multiple liquidity sources, ensuring tighter spreads and reduced slippage.
Real-Time Trading Signals: AI-supported market indicators integrated directly into the trading interface, enabling users to make timely and informed decisions.
Portfolio Performance Dashboard: A dynamic, personalized view of portfolio growth, risk exposure, and asset allocation, designed to support long-term wealth management strategies.
Custom Trading Alerts: Real-time push and email notifications for price movements, technical indicators, and market trends tailored to each user’s preferences.
Enhanced Mobile Experience: An upgraded mobile app interface with faster load speeds and full-feature trading capabilities, optimized for Android and iOS devices.
“Quaxs Trading Center is not only a platform—it’s an evolving ecosystem where usability meets advanced infrastructure,” said a Quaxs product director. “These new features demonstrate our dedication to innovation, security, and user satisfaction at every level of engagement.”
To complement the platform updates, Quaxs is also expanding its educational resource hub with beginner-to-pro content, covering topics from crypto fundamentals to advanced trading strategies. New users can access interactive tutorials, live market walkthroughs, and expert webinars, while experienced traders benefit from technical deep-dives and real-time analysis.
Security remains a top priority. The platform continues to implement industry-leading security protocols, including multi-layered encryption, cold and hot wallet separation, biometric login options, and institutional-grade custody solutions. Combined with 24/7 customer support in multiple languages, Quaxs ensures a seamless and safe trading experience across regions.
In the coming months, Quaxs Trading Center plans to introduce additional blockchain integrations and DeFi compatibility features, including token swaps, liquidity pooling, and NFT asset indexing. These upgrades will further expand the trading center’s ecosystem and enhance user engagement.
About Quaxs Trading Center
Quaxs Trading Center is the primary trading platform of Quaxs Exchange, providing secure, high-speed, and user-centric cryptocurrency trading services to a global audience. Backed by a team of blockchain and fintech experts, Quaxs is committed to redefining digital asset accessibility through innovation, compliance, and customer-first solutions.
Media Contact
Henry Collins, Quaxs, 1 552-313-8501, sales@quaxs.com, https://quaxs.com/
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SOURCE Quaxs Trading Center


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