Technology
Artificial Intelligence (AI) Chips Market to Grow by USD 902.65 Billion (2025-2029), Focus on AI Chips for Smartphones Drives Growth, Report with AI Trends – Technavio
Published
2 years agoon
By
NEW YORK, Jan. 24, 2025 /PRNewswire/ — Report on how AI is redefining market landscape – The global artificial intelligence (AI) chips market size is estimated to grow by USD 902.65 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of over 81.2% during the forecast period. Increased focus on developing AI chips for smartphones is driving market growth, with a trend towards convergence of AI and IoT. However, dearth of technically skilled workers for ai chips development poses a challenge. Key market players include Advanced Micro Devices Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Google LLC, Graphcore Ltd., Huawei Technologies Co. Ltd., Intel Corp., International Business Machines Corp., MediaTek Inc., Microchip Technology Inc., NVIDIA Corp., NXP Semiconductors NV, Qualcomm Inc., SambaNova Systems Inc., Samsung Electronics Co. Ltd., SenseTime Group Inc., Taiwan Semiconductor Manufacturing Co. Ltd., and Tesla Inc..
Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View Free Sample PDF
Artificial Intelligence (AI) Chips Market Scope
Report Coverage
Details
Base year
2024
Historic period
2019 – 2023
Forecast period
2025-2029
Growth momentum & CAGR
Accelerate at a CAGR of 81.2%
Market growth 2025-2029
USD 902.65 billion
Market structure
Fragmented
YoY growth 2022-2023 (%)
61.7
Regional analysis
North America, Europe, APAC, South America, and Middle East and Africa
Performing market contribution
North America at 42%
Key countries
US, Canada, China, UK, Germany, France, Japan, Italy, India, and Brazil
Key companies profiled
Advanced Micro Devices Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Google LLC, Graphcore Ltd., Huawei Technologies Co. Ltd., Intel Corp., International Business Machines Corp., MediaTek Inc., Microchip Technology Inc., NVIDIA Corp., NXP Semiconductors NV, Qualcomm Inc., SambaNova Systems Inc., Samsung Electronics Co. Ltd., SenseTime Group Inc., Taiwan Semiconductor Manufacturing Co. Ltd., and Tesla Inc.
Market Driver
Artificial Intelligence (AI) is revolutionizing industries from healthcare to retail, finance, automotive, and more. Deep learning and machine learning algorithms require powerful hardware components like AI chips. Advanced Micro Devices (AMD) and Nvidia lead the market with their Trainium2 chip and A100 chip, respectively. These chips use highbandwidth memory for energy efficiency and high computing power. Quantum computing and generative AI are emerging trends in AI technologies. AI chip lines, such as Ascend 910B chipset and H200 chipset, are designed specifically for AI applications. Cloud providers like Microsoft Azure, Amazon Web Services, and Google Cloud offer AI services, while edge computing enables real-time data processing on Edge devices. Ethical concerns surrounding AI use are rising. AI applications in healthcare, elder care, and IoT devices require high security and privacy. ML and DL algorithms power computer vision, image recognition, and pose detection, while cognitive computing and machine intelligence enable personalized health and treatment devices. AI technologies require various hardware components, including CPUs, GPUs, FPGAs, ASICs, DSPs, microcontrollers, frame buffers, and display devices. Energy efficiency, latency, and parallel computing are crucial factors for AI data centers. Theoretical and algorithmic basis, automatic analysis, and extraction are essential for AI applications. Patent filings for AI technologies are increasing, with applications in various industries, including manufacturing machines, wearable devices, smart homes, and connected cars. System failure and malfunctioning are concerns, and ethical considerations are necessary for the successful implementation of AI technologies.
The Internet of Things (IoT) market is experiencing significant growth due to the numerous advantages it offers in various industries, including aerospace and defense, automotive, consumer electronics, healthcare, and more. IoT devices, which include cameras, drones, smart speakers, smartphones, smart TVs, and others, are making decisions based on data they receive without human intervention. To enhance the capabilities of these devices, manufacturers are integrating Human-Machine Interface (HMI) technologies and deploying AI chips. These chips enable power-efficient data processing and machine learning computation, allowing IoT devices to function more intelligently and autonomously. The integration of AI chips in IoT devices is a key trend driving market growth.
Request Sample of our comprehensive report now to stay ahead in the AI-driven market evolution!
Market Challenges
Artificial Intelligence (AI) is revolutionizing industries from healthcare to retail, finance, and automotive. However, the growing demand for AI technologies, including deep learning and machine learning, puts pressure on hardware components like AI chips. Companies like Advanced Micro Devices and Nvidia are investing in AI chip lines, such as the Trainium2 chip and Nvidia’s A100 chip, to meet this demand. These chips enable AI algorithms to run efficiently, powering applications like image recognition and pose detection. However, challenges remain. Energy efficiency is crucial, as AI data centers require vast amounts of power. Quantum computing and generative AI may offer solutions, but they present complexities. Ethical concerns around AI use also arise. Edge computing and Edge devices are becoming essential for real-time applications, reducing latency and processing data locally. Big data requires high-bandwidth memory and parallel computing, which can be achieved through system on chip, multichip module, or ASICs. Major cloud providers like Microsoft Azure, Amazon Web Services, and Google Cloud offer AI services, but they face competition from edge devices and AI data centers. AI applications in industries like healthcare, retail, finance, and automotive require specialized hardware, such as CPUs, GPUs, FPGAs, and DSPs. The future of AI lies in the intersection of AI technologies, hardware components, and ethical considerations.The AI chips market is experiencing significant growth due to the potential revenue increases for businesses adopting artificial intelligence. However, the lack of skilled labor in AI technology poses a significant challenge to market expansion. Companies must carefully consider the high research and development costs and potential talent shortage before implementing AI solutions. Enterprise AI implementation is currently hindered by the scarcity of experienced professionals with the necessary technical expertise in this field.
Discover how AI is revolutionizing market trends- Get your access now!
Segment Overview
This artificial intelligence (ai) chips market report extensively covers market segmentation by
Product 1.1 ASICs1.2 GPUs1.3 CPUs1.4 FPGAsEnd-user 2.1 Media and advertising2.2 BFSI2.3 IT and telecommunication2.4 OthersGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and AfricaProcessing TypeApplicationTechnology
1.1 ASICs- Artificial Intelligence (AI) chips are experiencing significant growth, with application-specific integrated circuits (ASICs) leading the way. ASICs are customized chips designed for specific functions, offering faster performance than GPUs and FPGAs. Google’s Tensor Processing Unit (TPU) is an ASIC-based AI chip, specifically engineered for deep neural networks. TPU is a hardware-software solution that learns tasks by analyzing large data sets. It’s already being used in Google Search and Google Street View. Data centers are integrating TPUs into servers to manage data efficiently. TPU’s instruction set allows TensorFlow programs to be modified, enabling new algorithms. TensorFlow is an open-source machine learning library, making ASIC-based AI chips a promising choice for data center applications. The use of ASICs is driving the growth of AI chips market, providing superior performance and speed compared to GPUs, FPGAs, and CPUs.
Download a Sample of our comprehensive report today to discover how AI-driven innovations are reshaping competitive dynamics
Research Analysis
Artificial Intelligence (AI) Chips Market: The global AI Chips Market is experiencing significant growth due to the increasing demand for advanced AI technologies in various industries. AI Chips are specialized hardware components designed to accelerate AI algorithms, including deep learning and machine learning. These chips are integral to AI applications in robotics, autonomous vehicles, healthcare, retail, finance, automotive, IoT devices, and more. Quantum computing is also expected to revolutionize AI technologies, leading to the development of more powerful AI chips. Advanced Micro and other key players are investing heavily in AI chip research and development. The market includes various types of chips such as CPU, FPGA, GPU, system on chip, multichip module, and Trainium2 chip. Ethical concerns surrounding AI are also driving the need for more efficient and specific integrated AI chips. The market is segmented into cloud and edge computing, with the edge computing segment expected to grow rapidly due to the increasing demand for real-time AI processing. Highbandwidth memory is another critical component of AI chips, enabling faster data processing and analysis. Overall, the AI Chips Market is poised for significant growth in the coming years.
Market Research Overview
Artificial Intelligence (AI) Chips Market: Overview The Artificial Intelligence (AI) Chips Market is a rapidly growing sector that focuses on designing and manufacturing specialized hardware components for AI applications. These chips are designed to accelerate AI algorithms, including deep learning and machine learning, to enable advanced functionalities such as image recognition, pose detection, behavioral patterns analysis, and natural language processing. AI Chips are essential components of various AI technologies, including robotics, quantum computing, and cognitive computing. They come in different forms, such as System on Chip (SoC), Multichip Module (MCM), CPU, GPU, FPGA, ASIC, DSP, and microcontrollers. The market for AI Chips is driven by the increasing demand for AI applications in various industries, including healthcare, retail, finance, automotive, and manufacturing. The need for real-time data processing and energy efficiency is also a significant factor driving the growth of the market. AI Chips are used in both centralized cloud servers and edge devices for data processing. Centralized cloud servers, such as Microsoft Azure, Amazon Web Services, and Google Cloud, require high computing power and high-bandwidth memory, making GPUs and CPUs popular choices for AI Chips. Edge devices, on the other hand, require low power consumption and small form factors, making FPGAs and ASICs popular choices. The market for AI Chips is also driven by the increasing use of AI in mobile applications, healthcare, and IoT devices. Ethical concerns regarding AI and the elderly population’s growing demand for personalized health solutions are also expected to fuel the market’s growth. Some of the notable AI Chips in the market include Nvidia’s A100 chip, Ascend 910B chipset, and H200 chipset. Companies are also investing heavily in patent filing and system failure prevention to ensure the reliability and efficiency of their AI Chips. The market for AI Chips is expected to continue growing as AI applications become more prevalent in various industries. The increasing use of AI in real-time applications, such as autonomous vehicles and smart homes, is also expected to drive the market’s growth. However, the market’s growth may be hindered by the high cost of developing and manufacturing AI Chips and the ethical concerns surrounding AI. In conclusion, the AI Chips Market is a dynamic and growing sector that plays a crucial role in enabling advanced AI applications across various industries. The market’s growth is driven by the increasing demand for AI applications, the need for energy efficiency, and the development of new AI technologies, such as generative AI and cognitive computing. However, the market’s growth may be hindered by ethical concerns and the high cost of developing and manufacturing AI Chips.
Table of Contents:
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation
ProductASICsGPUsCPUsFPGAsEnd-userMedia And AdvertisingBFSIIT And TelecommunicationOthersGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And AfricaProcessing TypeApplicationTechnology
7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix
About Technavio
Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.
With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.
Contacts
Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/
View original content to download multimedia:https://www.prnewswire.com/news-releases/artificial-intelligence-ai-chips-market-to-grow-by-usd-902-65-billion-2025-2029-focus-on-ai-chips-for-smartphones-drives-growth-report-with-ai-trends—technavio-302358946.html
SOURCE Technavio
You may like
Technology
Texas Athletics and McCombs School of Business Launch New Bevo Lab, Bringing Together Sports, AI and Analytics
Published
16 minutes agoon
October 23, 2026By
Dell Technologies, Google Cloud and SHI International join Texas Athletics to power a first-of-its-kind hub for sports intelligence, data analytics, research, and talent development
AUSTIN, Texas, Oct. 23, 2026 /PRNewswire/ — University of Texas Athletics and the Business of Sports Institute (BOSI) in the McCombs School of Business, in cooperation with Longhorn Sports Properties, today announced the launch of Bevo Lab, a unique collaboration that will serve as higher education’s premier sports intelligence platform and living laboratory—bringing together sports, technology, data analytics, and artificial intelligence (AI) to elevate human performance while expanding hands-on learning opportunities for students.
Joined by Dell Technologies, Google Cloud, and SHI International, Texas Athletics is building the premier sports intelligence platform in higher education, creating a standard of excellence that spans 21 intercollegiate teams and over 500 student-athletes. Bevo Lab will leverage AI-driven research and data analytics to deliver real-world solutions to help athletes and coaches become more efficient in their training and preparation while developing a pipeline of students with hands-on experience for sought-after careers in technology and sports analytics.
“With the help of our nationally ranked academic leaders and cutting-edge technology brand sponsors, Bevo Lab will become the global benchmark for innovation in sports AI and data analytics, making Texas Athletics the most data-driven athletic program in the country,” said Chris Del Conte, vice president and Folger Family Athletics Director at The University of Texas. “What starts here changes the world, and this vision will transform collegiate athletics. There is no bigger stage, no more powerful brand and no better time than now to lead in this new evolution of sports technology.”
Del Conte will officially announce Bevo Lab today at Texas’ Business of College Sports Summit.
Named for the university’s esteemed and powerful live mascot, Bevo Lab will be a part of BOSI, an academic and research center in McCombs that combines business education, on-field/on-court performance analytics, applied research, and industry participation. The lab will engage as many as 40 student researchers annually in managing the modeling and data projects under the direction of acclaimed sports data analyst, author, and BOSI executive director Kirk Goldsberry, Ph.D.
“The AI and emerging technologies provided by our industry partners will empower our students and researchers to deliver improved efficiency and increased speed in data analysis to boost performance and improve success,” added Goldsberry. “Bevo Lab will reinforce Texas as a leader in sports analytics and AI and will serve as the blueprint for the future of sports.”
Key innovations driving the Bevo Lab:
Bevo Lakehouse: A unified data warehouse that consolidates previously siloed sports-specific data such as game film and wearable technology into a single platform—starting with football, before expanding across all 21 varsity sports.Predictive AI & analytics models: Custom machine learning frameworks, including “transfer AI” for roster evaluation, designed to give coaches actionable insights for game strategy, scouting, and player development.Tailored front-end applications: Intuitive visual and natural language interfaces built specifically for the distinct daily workflows of athletes, coaches and athletic executives.Next-generation skills training: A hands-on program for UT students to gain AI skills and deploy live applications alongside athletic teams. Through a first-of-its-kind Google Public Sector ambassador program, students will also get to work directly with engineering teams, gaining high-stakes industry experience to launch careers in tech and sports analytics.
Dell Technologies: Powering a New Era in College Athletics
Dell Technologies is deepening its decadeslong relationship with The University of Texas as the premier founding sponsor and the Official Technology Infrastructure Sponsor of Bevo Lab. Building on a broad history of collaboration that spans groundbreaking research at the Texas Advanced Computing Center and technology innovation across Texas Athletics, Dell is providing the secure AI-ready infrastructure that powers Bevo Lab, enabling students, researchers, coaches and student-athletes to transform data into actionable insights, accelerate innovation and elevate human performance.
“Bevo Lab represents the next chapter in Dell Technologies’ longstanding relationship with The University of Texas and our shared commitment to innovation,” said Geraldine Tunnell, chief marketing officer, Dell Technologies. “By providing the secure, AI-ready infrastructure that powers this initiative, we’re enabling students, researchers, coaches and student-athletes to turn data into insight, accelerate innovation and unlock new possibilities for human performance. Together, we’re helping shape the future of sports analytics, research and education.”
Google Cloud: Pioneering AI Breakthroughs from Campus to Game Day
Google Cloud joins Bevo Lab as the Official Cloud Provider and Enterprise AI Provider, establishing a secure, powerful data foundation built for the future of collegiate athletic performance. By leveraging Google Cloud and Gemini, Google’s advanced multimodal, agentic AI, student researchers and athletic staff members can quickly unify vast athletic datasets to generate real-time sports intelligence. Google Public Sector’s Rapid Innovation and Specialty Engineering Teams will collaborate directly with UT coaches and students to prototype new sports technology while mentoring future sports and technology leaders. In fact, early collaboration with Google Public Sector has already introduced AI-driven workflows that save UT coaches more than 15 hours per week in game preparation, giving them critical time back to focus on strategy and player development.
“As a proud UT alum, I am thrilled to see my alma mater leading the charge at the intersection of collegiate sports, academic research, and artificial intelligence,” said Matt Renner, president and chief revenue officer of Google Cloud. “Bevo Lab will establish a new global benchmark for sports innovation, directly enhancing how the Longhorns will train, game plan, and compete on the field while providing a premier launchpad for the next generation of tech and sports analytics leaders. By putting our advanced data analytics platforms and Gemini models into the hands of UT students, coaches, and researchers, we are building a secure foundation for sports intelligence that will define the future of the industry.”
SHI International: Uniting Strategy and Integration for the Win
Founding sponsor SHI will serve as the strategic technology and solutions integrator of Bevo Lab, translating Texas Athletics’ vision into a secure, scalable technology architecture. Drawing on its deep expertise across IT infrastructure, cloud, AI and cybersecurity, SHI will orchestrate the partner ecosystem, ensuring multiple technologies across Bevo Lab operate as one unified platform for sports innovation that will evolve with the university’s athletic performance and provide research and workforce development opportunities for students managing the data analytics projects.
“For nearly four decades, customers have trusted SHI to bring together the right technologies, partners and expertise to build, manage and secure some of the world’s most complex IT environments,” said Jack Hogan, vice president of Advanced Growth Technologies at SHI International. “As the strategic technology and solutions integrator of Bevo Lab, we are thrilled to turn best-of-breed infrastructure, cloud, data, AI and security technologies into one trusted, scalable environment that enables Texas Athletics, coaches, student-athletes and researchers to achieve greatness on the playing field, in the lab, in the classroom and throughout their post-college careers.”
Strategic Collaboration Across Athletics and Industry
Longhorn Sports Properties, the Austin-based division of college media and technology leader Learfield, assisted in the development of Bevo Lab and secured its founding corporate sponsors.
“Bevo Lab is a cutting-edge collaboration that will make a tremendous positive impact on our coaches, our student-athletes and the university,” said Lucas Motta, vice president of Longhorn Sports Properties. “We are excited to lock arms with Dell Technologies, Google Cloud and SHI as leaders within their industry, and together we will help power Texas Athletics to even more championships while preparing our students for the new era in the tech workforce.”
Bevo Lab will be housed in Innovation Tower adjacent to the UT campus and in the heart of Austin’s Innovation District. A dedicated microsite that details Bevo Lab and its research will be available at texaslonghorns.com/bevolab.
About Dell Technologies
Dell Technologies (NYSE: DELL) helps organizations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry’s broadest and most innovative technology and services portfolio for the AI era.
About Google Cloud
Google Cloud offers a powerful, optimized AI stack—including AI infrastructure, leading models like Gemini, data management capabilities, multicloud security solutions, developer tools and platform, as well as agents and applications—that enables organizations to transform their business for the Agentic Era. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner.
About SHI International
SHI International is a $16 billion transformational technology solutions integrator serving the needs of more than 17,000 corporate, enterprise, public sector and academic customer organizations around the world. It helps companies achieve business goals through the use of technologies ranging from software licensing and end user computing devices to innovative cloud and edge solutions. With over 7,000 employees worldwide, SHI is the largest Minority and Woman Owned Business Enterprise (MWBE) in the U.S.
About Learfield
Learfield is the leading media and technology company powering college athletics. Through its digital and physical platforms, Learfield owns and leverages a deep data set and relationships in the industry to drive revenue, growth, brand awareness, and fan engagement for brands, sports, and entertainment properties. With ties to over 1,200 collegiate institutions and over 12,000 local and national brand partners, Learfield’s presence in college sports and live events delivers influence and maximizes reach to target audiences. With solutions for a 365-day, 24/7 fan experience, Learfield enables schools and brands to connect with fans through licensed merchandise, game ticketing, donor identification for athletic programs, exclusive custom content, innovative revenue generation solutions, student-athlete marketing initiatives, and advanced digital platforms. Since 2008, it has served as title sponsor for the acclaimed Learfield Directors’ Cup, supporting athletic departments across all divisions.
Media contacts:
University of Texas Athletics: John Bianco, john.bianco@athletics.utexas.edu, 512-471-1346
Longhorn Sports Properties/Learfield: Tammy Purves, tammy.purves@learfield.com, 404-932-3266
McCombs School of Business: Judie Kinonen, Judie.Kinonen@mccombs.utexas.edu, 409-356-3324
Dell Technologies: Lauren Mauro, media.relations@dell.com.
Google Cloud: press@google.com
SHI: Kaitlynn Cooney, SHI-PR@walkersands.com
View original content to download multimedia:https://www.prnewswire.com/news-releases/texas-athletics-and-mccombs-school-of-business-launch-new-bevo-lab-bringing-together-sports-ai-and-analytics-302917606.html
SOURCE Learfield
Technology
XbotGo Named World’s No. 1 Consumer Team Sports AI Tracking Camera Brand
Published
16 minutes agoon
October 23, 2026By
XbotGo recognized as the market leader in consumer team sports AI tracking technology based on 2025 unit sales.
MOUNTAIN VIEW, Calif., Oct. 23, 2026 /PRNewswire/ — XbotGo is proud to announce that it has officially been recognized as the World’s No. 1 Consumer Team Sports AI Tracking Camera Brand by China Insights Consultancy (CIC), a premier independent market research and consulting firm.
The certification, issued in October 2026 under research registration number CIC-2026-985176, is based on a comprehensive evaluation of global unit sales volume throughout the 2025 calendar year. The market research specifically measures consumer-grade camera devices designed for team sports, such as basketball and football, that leverage advanced computer vision and artificial intelligence algorithms to automatically track athletes and capture dynamic gameplay without manual operation.
“This global market recognition is a powerful testament to the hard work of our engineering teams and the trust our community places in us every day,” said Dr. David Tan, CEO of XbotGo. “From everyday parents and local youth coaches to elite amateur athletes, our mission has always been to make professional-grade sports analysis and hands-free recording accessible to everyone. Being named the global sales leader proves that our vision is resonating worldwide.”
The XbotGo Falcon series combines ultra-sharp 4K resolution, intelligent multi-player tracking, instant highlight creation, and seamless livestreaming capabilities into a compact, subscription-free device. By eliminating the need for a dedicated camera operator, XbotGo empowers teams and families to preserve and analyze every pivotal moment effortlessly.
To learn more about the XbotGo Falcon and explore its award-winning AI tracking technology, visit xbotgo.com.
About XbotGo
XbotGo was founded in 2021 by Dr. David Tan—a computer vision expert, hardware innovator, and devoted soccer dad. Like every parent on the sidelines, he found traditional cameras either too complex or too costly to capture his child’s moments on the field. That frustration sparked a vision: to make sports recording accessible to all through AI. Today, XbotGo is a global AI sports technology company owned by Blink Tech, headquartered in Silicon Valley, California, with R&D centers across Silicon Valley, Beijing, Shenzhen, and Suzhou.
Media Contact:
XbotGo
Gabriel Roxas
PR@xbotgo.com
View original content to download multimedia:https://www.prnewswire.co.uk/news-releases/xbotgo-named-worlds-no-1-consumer-team-sports-ai-tracking-camera-brand-302917631.html
Technology
DataBeyond Showcases PICKINGMAN in Global Livestream from Operating Waste-Sorting Facility
Published
16 minutes agoon
October 23, 2026By
DONGGUAN, China, Oct. 23, 2026 /PRNewswire/ — DataBeyond showcased PICKINGMAN, its embodied AI robot for mixed municipal solid waste sorting, during the robot’s first global public livestream at 8 a.m. Beijing time on October 22. The broadcast took place at the Liaobu Municipal Solid Waste Integrated Treatment Center in Dongguan.
Built for Waste-Sorting Conditions
The broadcast demonstrated the robot working on an operating sorting line, highlighting the application of embodied AI to demanding industrial tasks involving mixed materials, dirty conditions and repetitive manual labor. PICKINGMAN began operating at the facility on September 22.
PICKINGMAN features dual arms with a total of 14 degrees of freedom, IP65-rated dust and water protection, and a maximum picking rate of 3,600 picks per hour. Designed to support continuous 24/7 operation, it can sort recyclables including PET bottles and trays, PP containers, PE items, aluminum cans and glass. It coordinates perception, decision-making and motion control to identify and pick target materials on a moving conveyor.
Project Results
Jointly developed by DataBeyond and Guangdong Dongshi Environment Co., Ltd., the Liaobu project combines robotic picking with AI optical sorting and other processing equipment. According to project data, the complete sorting line can process 50 metric tons of mixed municipal solid waste in four hours, achieving approximately 35% waste reduction and 25% resource recovery. Previously, sorting recyclables from the same volume required four skilled workers working for eight hours.
The integrated line separates recyclables for downstream recovery before residual waste is compressed and sent for further treatment, connecting resource recovery with existing waste management operations.
Workforce Benefits and Next Steps
For operators facing recruitment and retention challenges, robotic picking offers an alternative to repetitive manual sorting. The project aims to reduce workers’ direct contact with waste and enable personnel to focus on equipment inspection, production coordination and other technical roles.
“During the livestream, we identified areas where the robot still needs improvement,” said DataBeyond’s Mo Zhuoya. “Bridging the gap between R&D and industrial deployment requires engineering experience. We will accelerate product iteration and conduct longer global livestreams.”
About DataBeyond
DataBeyond develops AI-powered optical sorting equipment and robotic solutions for recycling and solid waste processing. The company integrates AI and multisensor technologies to improve material separation and support resource recovery.
Media Contact
Felix WU
marketing@databeyond.com
View original content to download multimedia:https://www.prnewswire.com/news-releases/databeyond-showcases-pickingman-in-global-livestream-from-operating-waste-sorting-facility-302918041.html
SOURCE DataBeyond
Texas Athletics and McCombs School of Business Launch New Bevo Lab, Bringing Together Sports, AI and Analytics
XbotGo Named World’s No. 1 Consumer Team Sports AI Tracking Camera Brand
DataBeyond Showcases PICKINGMAN in Global Livestream from Operating Waste-Sorting Facility
Send Rakhi to UK swiftly with UK Gifts Portal
Whiteboard Series with NEAR | Ep: 45 Joel Thorstensson from ceramic.network
Nullmax and Renesas Forge Strategic Partnership to Deliver Competitive ADAS Solutions for the Global Market
Why You Should Build on #NEAR – Co-founder Illia Polosukhin at CV Labs
Whiteboard Series with NEAR | Ep: 45 Joel Thorstensson from ceramic.network
NEAR End of Year Town Hall 2021: The Open Web World, MetaBUILD 2 Hackathon and 2021 recap
Trending
-
Technology4 days agoGMIF2026: AI Inference Powers the “Token Factory” and Drives System-Level Rethinking of Memory & Storage
-
Technology4 days agoInstaMall Launches Same-Day Fashion Delivery Experience, Bringing 80+ Brands to Shoppers’ Doors in Miami
-
Technology4 days agoHISTOINDEX AND A*STAR PARTNER TO ADVANCE EARLY-STAGE DEVELOPMENT OF PIPELINE THERAPIES FOR FIBROTIC DISEASES
-
Coin Market4 days agoWorld Liberty’s USD1 stablecoin sheds $400M in market cap in two weeks
-
Technology4 days agoTruecaller announces preliminary numbers for the third quarter 2026
-
Technology4 days agoSALMON SECURES $140 MILLION (PHP 8.8 BILLION) TO DOUBLE DOWN ON THE GROWTH OPPORTUNITY IN THE PHILIPPINES
-
Technology4 days agoTrend Micro Announces Up to ¥10 Billion toward Cyber Resilience Initiative to Strengthen Security for Japanese Organizations in the AI Era
-
Technology4 days agoTreasuries Rallied as Tech Slid, and the Crowded Bet Against Bonds Felt It
