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Machine Vision System Market to Reach $159.2 Billion, Globally, by 2032 at 13.9% CAGR: Allied Market Research

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The global machine vision system market is experiencing growth due to advancements in artificial Intelligence (AI) and deep learning, and expansion of industrial IoT (IIoT) and smart manufacturing.

WILMINGTON, Del., Aug. 9, 2024 /PRNewswire/ —  Allied Market Research published a report, titled, “Machine Vision System Market by Type (D Vision, 2D Vision and 3D Vision), Product (PC-based machine vision system, Vision controllers, Standalone vision system, Vision sensors & image-based bar code readers and Others), Application (Identification, Inspection, Gauging, Positioning and Others), End use (Automotive, Healthcare, Manufacturing, Industrial and Others): Global Opportunity Analysis and Industry Forecast, 2024-2032″. According to the report, the machine vision system market was valued at $49.7 billion in 2023, and is estimated to reach $159.2 billion by 2032, growing at a CAGR of 13.9% from 2024 to 2032.

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165 – Tables68 – Charts250 – Pages

Prime determinants of growth 

Advancements in artificial intelligence (AI) and deep learning, and expansion of industrial IoT (IIoT) and smart manufacturing are the major factors which drives the machine vision system market growth. However, high initial investment costs act as a major barrier for its adoption, which, in turn, hampers the growth of the market. On the contrary, Integration with cloud computing and edge AI and the rise in adoption of industry 4.0 are anticipated to provide lucrative opportunities for the machine vision system market during the forecast period.

Report coverage & details:

Report Coverage

Details            

Forecast Period

2024–2032                 

Base Year

2023

Market Size in 2023   

$49.7 billion               

Market Size in 2032

$159.2 billion             

CAGR  

13.9 %

No. of Pages in Report

250

Segments Covered     

Type, Product, Application End User, and Region

Drivers

Advancements in Artificial Intelligence (AI) and DeepLearning Expansion of Industrial IoT (IIoT) and Smart Manufacturing           

Opportunities

Integration with Cloud Computing and Edge AI

Restraint

High Initial Investment Costs

 

Segment Highlights

Based on type, the 2D vision segment dominated the market in terms of revenue in 2023 and is expected to follow the same trend during the forecast period due to the widespread application and cost-effectiveness of 2D vision systems across various industries, including manufacturing, automotive, and electronics. 2D vision systems are well-suited for tasks like barcode reading, object recognition, and surface inspection, which are common in industrial automation. 

Based on product, the vision sensors & image-based barcode readers segment held the highest market share in 2023, accounting for nearly half of the machine vision system market share due to extensive use of these systems in industries such as logistics, manufacturing, and retail for tasks like product identification, sorting, and quality control. Vision sensors and image-based barcode readers are valued for their cost-effectiveness, ease of integration, and reliability in various automated processes.

Based on application, the inspection segment held the highest market share in 2023, accounting for nearly half of the Machine Vision System market share due to the critical role inspection plays in ensuring product quality and compliance across various industries, such as manufacturing, automotive, electronics, and pharmaceuticals. Machine vision systems are extensively used for detecting defects, verifying assembly, and ensuring product consistency, which are essential for maintaining high standards and reducing waste.

Based on end user, the manufacturing segment held the highest market share in 2023, accounting for nearly half of the machine vision system market share. This is because manufacturing industries heavily rely on machine vision systems for quality control, process automation, and efficiency enhancement. These systems are integral for inspecting products, ensuring compliance with standards, and optimizing production lines. The push towards Industry 4.0 and smart manufacturing further boosts the adoption of machine vision technology.

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Regional Outlook 

On the basis of region, the machine vision system market is analyzed across North America, Europe, Asia Pacific, and LAMEA. Asia-Pacific held the highest market share in the machine vision system market in 2023. This is driven by robust manufacturing sector, particularly in countries like China, Japan, South Korea, and Taiwan. Asia-Pacific is a global hub for electronics, automotive, and semiconductor industries, which are key adopters of machine vision systems for quality control and automation. The rapid industrialization, increasing adoption of automation technologies, and significant investments in smart manufacturing further boost the demand for machine vision systems. In addition, supportive government initiatives and growing local expertise in advanced manufacturing technologies contribute to the region’s leading market position.

Key Players: 

Baumer Ltd.Cognex CorporationCanon Inc.FLIR SystemIntel CorporationKeyence CorporationNational Instrument CorporationOmron CorporationTexas InstrumentSICK AG.

The report provides a detailed analysis of these key players in the global Machine Vision System market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different regions. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario.

Recent Development: 

In October 2023, Emerson announced the acquisition of NI. NI increases Emerson’s end market exposure in discrete markets, which will be Emerson’s second largest industry segment. With approximately 20% of its sales in software, NI also increases Emerson’s exposure to high-growth industrial software markets. The acquisition of NI advances Emerson’s position as a global automation leader and expands its opportunities to capitalize on critical secular trends like nearshoring, digital transformation, sustainability, and decarbonization.

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Key Benefits For Stakeholders:

This report provides a quantitative analysis, machine vision system sector analysis of the market segments, current trends, estimations, and dynamics of the machine vision system market analysis from 2024 to 2032 to identify the prevailing machine vision system market data, and machine vision system market opportunities.The market research is offered along with information related to key drivers, restraints, and opportunities.Porter’s five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.In-depth analysis of the machine vision system market segmentation assists to determine the prevailing robot vision system market opportunities.Major countries in each region are mapped according to their revenue contribution to the global market.Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the vision inspection system manufacturers market players.The report includes the analysis of the regional as well as global machine vision system market trends, machine vision system market insights, machine vision system for US market, machine vision system market size by country, machine vision system company list, key players, market segments, application areas, and market growth strategies.

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Machine Vision System Market Key Segments:

By Type

D Vision2D Vision3D Vision

By Application

IdentificationInspectionGaugingPositioningOthers

By Region      

North America (U.S., Canada, Mexico)Europe (UK, Germany, France, Italy, Rest of Europe)Asia-Pacific (China, Japan, India, South Korea, Rest of Asia-Pacific)Latin America (Brazil, Argentina, Rest of Latin America)Middle East and Africa (UAE, Saudi Arabia, Rest of Middle East And Africa)

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About Us:

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Wilmington, Delaware. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports Insights” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies, and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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

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

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

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

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

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

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

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

Project Status

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

About CMGS

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

About CMGS and Compass Mining Partnership

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

Disclaimer

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

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

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

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

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

Continuing Performance Leadership with AMD EPYC 9006 Series Processors

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

Key Features Include:

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

Comprehensive Edge Server Solutions from Edge to Cloud

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

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

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

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

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

About Advantech

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

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SOURCE Advantech Co., Ltd.

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

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

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

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

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

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

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

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

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

About MulticoreWare

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

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

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

 

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SOURCE MulticoreWare Inc.

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