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Global Industrial Automation Market to Hit US$ 410.3 Billion by 2031, Registering 9% CAGR: Wissen Research

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SHERIDAN, Wyo., Nov. 2, 2026 /PRNewswire/ — The global industrial automation market is valued at USD 266.7 billion in 2026 and is projected to reach USD 410.3 billion by 2031, growing at a CAGR of 9% over the forecast period (2026–2031), according to a new study by Wissen Research.

The clearest evidence is on the factory floor. The International Federation of Robotics (IFR) reports that factories installed a record 603,000 industrial robots in 2025, up 11% from the year before, and that the global operational stock reached 5.079 million units. IFR forecasts installations to rise another 9% in 2026, to approximately 655,000 units.

Behind the robots is a broader shift. The market is moving from hardware-oriented, isolated machine control toward connected, software-based production that combines control hardware, robotics, industrial software, and real-time analytics. Demand is driven by labor shortages, rising quality standards, and the need to control complex processes in automotive, electronics, food, and pharmaceutical manufacturing.

Get a Free Sample of This Report to Explore Key Findings and Data: https://www.wissenresearch.com/request-a-sample/?report=industrial-automation-market 

Industrial AI Has Moved From Pilot Projects Into Live Operations

Cisco’s 2026 State of Industrial AI study found that 61% of surveyed organizations were using AI in live industrial operations, and 83% planned to increase their AI spending. The use cases already delivering results are practical ones: predictive maintenance, process automation, automated quality inspection, logistics, and energy forecasting. Machine vision systems powered by AI can spot defects and abnormal conditions, and AI can adjust process parameters as production conditions change.

Getting there is harder than buying software. AI has to be integrated with industrial control systems, edge computing, and data platforms, which depends on good machine data, working IT and operational technology (OT) connections, and the state of legacy systems. In the same Cisco study, 97% of respondents expected AI workloads to affect their industrial network requirements, 51% anticipated higher connectivity and reliability requirements, and 43% reported limited or no collaboration between IT and OT teams. The report sees opportunities in industrial networking, edge devices, and real-time data infrastructure alongside conventional automation hardware, and in digital twins, which let companies test production changes virtually before implementing them.

Robots Move Beyond the Car Factory

For years, industrial robotics meant automotive welding and material handling. The IFR data show a broader base. In 2025, robot installations in metal and machinery grew 22%, while automotive and electronics installations each rose 10%. Collaborative robots (cobots) accounted for 66,000 new installations, about 11% of the total, and autonomous mobile robots are taking on internal transport. The growth is concentrated geographically: China installed about 354,000 robots in 2025, roughly 59% of the global total and 20% more than the year before, while India installed nearly 10,500, up 15%, with annual installations growing an average of 27% between 2020 and 2025.

The competitive map is shifting with it. Chinese robot manufacturers supplied 55% of the industrial robots installed in China in 2025, up from approximately 28% a decade earlier, intensifying competition for established international vendors.

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What’s Fueling Growth in the Industrial Automation Market

Semiconductor manufacturing capacity: New wafer plants need tight control of temperature, pressure, gas flow, and contamination, which raises demand for automation systems, sensors, robots, and integrated control systems.Electrified vehicle production: Battery manufacturing, motor assembly, and battery pack integration need automated material handling, robotic welding, vision-based inspection, and traceability to keep high-volume production consistent.Pharmaceutical traceability and process regulation: Complex biopharma production and regulatory traceability requirements call for automated inspection, batch control systems, paperless technology, and accurate dosing tools.Food inspection and packaging: High-speed lines rely on machine vision, automated weighing, fill-level verification, and reject systems to cut product loss and ensure correct packaging.Brownfield modernization: Companies are replacing outdated programmable logic controllers (PLCs), old drives, and unintegrated automation with connected platforms that improve equipment visibility and enable remote diagnostics without a complete plant renovation.Energy optimization: Chemical, oil and gas, and metals producers are adopting advanced process control, variable frequency drives, and real-time monitoring to stabilize processes and reduce energy use per unit of output.

Challenges Facing the Industrial Automation Market

The upfront cost is the first barrier. Replacing an old control system often means interrupting production, reconfiguring hardware, upgrading software, and validating the result, and companies with several production sites can struggle with incompatible communication standards and production methods. In pharmaceutical and food manufacturing, automated processes may need significant validation before they go live, and smaller businesses can find it hard to finance automation projects.

Connectivity brings industrial cybersecurity risk. Honeywell’s 2026 OT Cybersecurity Benchmark Report found that only 21% of surveyed organizations had a complete inventory of their operational technology assets, even though 88% described their cybersecurity programs as mature. Respondents reported an average of 16.2 hours of downtime from their most significant incidents, with losses reaching up to USD 500,000 per hour. The 2025 SANS ICS/OT Security Survey found that only 49% of surveyed organizations had detection capabilities designed specifically for industrial control systems, and just 26% of that group considered them highly effective. Recovery can be slow even when detection is quick: nearly half of surveyed incidents were detected within 24 hours, but almost one in five took more than a month to remediate fully.

Recent Strategic Developments in the Industrial Automation Market

In September 2026, Emerson Electric Co. of the United States announced plans for a 3,500-square-meter automation solutions service center in Qatar’s Umm Alhoul Free Zone, featuring the region’s first certified in-country flow calibration laboratory. The facility will provide measurement instrumentation, control system integration, spare parts, and training services to improve operational efficiency and reduce customer downtime across the Middle East and Africa.

In July 2026, City Electric Supply of the United States partnered with Siemens Digital Industries of Germany to expand industrial automation and control solutions through its Industrial Automation Solutions division. The partnership strengthened its capabilities in PLC systems, control panels, drives, SCADA, application engineering, and troubleshooting for smart manufacturing and automation customers across North America.

In July 2026, ABB Ltd. of Switzerland agreed to acquire Rotork plc of the United Kingdom through a recommended all-cash offer valued at approximately USD 5.5 billion, aiming to expand its portfolio in intelligent flow control, electric actuators, and instrumentation and to strengthen its field-device and industrial process automation capabilities.

In July 2026, American Industrial Partners completed its acquisition of Honeywell International Inc.’s Intelligrated and Transnorm businesses, combining them with Trew to create a warehouse automation provider. The combined organization offers conveyor systems, robotics, sortation, automated storage and retrieval systems, software, and lifecycle services, and generated over USD 1 billion in 2025 revenue.

The four deals cover service networks, distribution, field devices, and warehouse automation, a reminder that portfolios are being reshaped from several angles at once.

Key Insights from Industrial Automation Market Analysis

Industrial robotics held a strong position in 2025, supported by rising automation across manufacturing, demand for production precision, and flexible robotic systems. FANUC, Yaskawa, ABB, and KUKA compete in robotics, motion control, and integrated manufacturing automation.Automotive and transportation remained a major application in 2025. Automotive manufacturers installed 126,088 industrial robots worldwide in 2024, about 23.3% of the 542,000 installed that year, although electronics manufacturers installed slightly more (128,899), showing how closely the two industries compete for robotics demand. Electric vehicle production adds automated battery-cell handling, pack assembly, robotic joining, and testing to conventional assembly lines.Asia-Pacific held the leading regional position in 2025. Asia accounted for 74% of global industrial robot installations in 2024, compared with 16% in Europe and 9% in the Americas, and the United Nations Industrial Development Organization (UNIDO) reported that global manufacturing output in higher-technology industries grew 5.8% in 2025.The market is moderately consolidated. A few large multinationals compete alongside specialized technology providers. High entry barriers in complex automation systems, established customer relationships, broad product portfolios, and integration capabilities strengthen the leaders, while niche providers compete in robotics, sensors, and industrial software.Software and services are measurable differentiators. Siemens generated EUR 6.17 billion in software revenue within its Digital Industries business in fiscal 2025, and Rockwell Automation reported USD 2.20 billion in Lifecycle Services sales. ABB agreed in October 2025 to sell its robotics division to SoftBank Group for approximately USD 5.4 billion, with completion expected in the second half of 2026 subject to approvals and other conditions.

Key Players in the Industrial Automation Market

Leading companies in the industrial automation market are focusing on industrial control systems, programmable logic controllers, sensors, drives, industrial robotics, automation software, process control platforms, and integrated digital manufacturing solutions. Competition is shaped by technology integration, installed equipment base, product reliability, software capabilities, cybersecurity, global service networks, and the ability to automate complex production processes across discrete and process industries.

The report names Emerson Electric Co. (US), ABB Ltd. (Switzerland), Siemens AG (Germany), Schneider Electric SE (France), and Rockwell Automation, Inc. (US) as the top five players. Siemens, ABB, and Rockwell compete across different combinations of control hardware, software, motion systems, and lifecycle services, which shapes their ability to serve integrated factory requirements.

Other companies profiled in the report include Honeywell International Inc. (US), Mitsubishi Electric Corporation (Japan), Yokogawa Electric Corporation (Japan), Omron Corporation (Japan), and FANUC Corporation (Japan). The report also covers Yaskawa Electric, Bosch Rexroth, KUKA, Keyence, Endress+Hauser, Phoenix Contact, Festo, Beckhoff Automation, Danfoss, SICK, Advantech, Delta Electronics, WAGO, SEW-EURODRIVE, and Fuji Electric, among others.

Regional Analysis and Growth Opportunities

Asia-Pacific leads the industrial automation market, supported by a large electronics, semiconductor, automotive, machinery, and electrical equipment manufacturing base. China, Japan, and South Korea are active in industrial robotics, factory automation, and advanced manufacturing, while India is building manufacturing capability in automotive components, electronics, pharmaceuticals, and industrial machinery. The report adds a note of caution: robot adoption alone is a limited measure of automation, and judging which region is growing fastest requires more data on automation activity.

India’s semiconductor push is one opportunity the report highlights. The Union Budget 2026–27 allocated ₹1,000 crore to the India Semiconductor Mission 2.0, targeting semiconductor equipment, materials, design capabilities, research, and workforce development, which can widen opportunities for automation suppliers serving domestic semiconductor manufacturing.

Europe, North America, Latin America, and the Middle East & Africa complete the report’s regional coverage.

Market Segmentation Snapshot

The global industrial automation market is segmented across solution type, end user type, and region:

By Solution Type:Industrial Control Systems (Programmable Logic Controllers, Distributed Control Systems, Supervisory Control and Data Acquisition, Human-Machine Interfaces, Other Industrial Control Systems)Field Devices (Industrial Sensors and Transmitters, Control Valves and Actuators, Motors and Drives, Other Field Devices)Industrial RoboticsIndustrial Automation Software (Manufacturing Execution Systems, Other Industrial Automation Software)Industrial Automation Services (System Integration, Maintenance and Support)By End User Type:Automotive and TransportationElectronics and SemiconductorsFood and BeveragesPharmaceuticals and Life SciencesChemicals and PetrochemicalsOil and GasPower and UtilitiesMetals and MiningAerospace and DefensePulp and PaperOther IndustriesBy Region:North AmericaEuropeAsia-PacificLatin AmericaMiddle East & Africa

Frequently Asked Questions

Q: What is the size of the industrial automation market? A: The global industrial automation market is estimated at USD 266.7 billion in 2026 and is projected to reach USD 410.3 billion by 2031.

Q: What is the growth rate of the industrial automation market? A: The industrial automation market is projected to grow at a CAGR of 9% between 2026 and 2031.

Q: What does the industrial automation market include? A: The industrial automation market comprises the hardware, software, and services used to automate industrial processes, manufacturing operations, production lines, and infrastructure systems. It covers industrial control systems, field devices, industrial robotics, industrial automation software, and industrial automation services used to improve efficiency, productivity, process consistency, quality control, safety, and resource utilization.

Q: How many industrial robots are installed each year? A: According to the International Federation of Robotics, factories installed 603,000 industrial robots in 2025, an increase of 11% from 2024, and the global operational stock reached 5.079 million units. IFR forecasts installations to rise 9% in 2026 to approximately 655,000 units.

Q: Is industrial AI being used in live operations? A: Yes. Cisco’s 2026 State of Industrial AI study found that 61% of surveyed organizations were using AI in live industrial operations and 83% planned to increase their AI spending. Predictive maintenance, process automation, automated quality inspection, logistics, and energy forecasting are among the applications already delivering operational benefits.

Q: What are the main challenges in industrial automation? A: The main challenges are high upfront cost, the production interruptions and validation needed to replace legacy control systems, incompatible communication standards across sites, and cybersecurity. Honeywell’s 2026 benchmark found that only 21% of surveyed organizations had a complete inventory of their operational technology assets.

Q: Which region leads the industrial automation market? A: Asia-Pacific held the leading regional position in the industrial automation market in 2025, supported by its electronics, semiconductor, automotive, machinery, and electrical equipment manufacturing base and by its 74% share of global industrial robot installations in 2024.

Q: Who are the top players in the industrial automation market? A: Leading companies in the industrial automation market include Emerson Electric Co., ABB Ltd., Siemens AG, Schneider Electric SE, and Rockwell Automation, Inc.

Q: How consolidated is the industrial automation market? A: The market is moderately consolidated, with a few large multinational players competing alongside specialized technology providers. High entry barriers, established customer relationships, broad product portfolios, and integration capabilities strengthen the leading suppliers, while niche providers compete in robotics, sensors, and industrial software.

The report’s picture is a market where robots, software, and AI are arriving together, and where the limits are cost, integration, and security more than technology. For suppliers, the work ahead is helping factories modernize existing plants without long shutdowns, connect operations safely, and show measurable returns.

Get the Complete Industrial Automation Market Report — Forecasts, Insights & Growth Opportunities: https://www.wissenresearch.com/market-research-reports-pricings/industrial-automation-market 

Expert Profile | Mayur Jain, Wissen Research 

Mayur Jain is a Research Expert at Wissen Research with multidomain expertise with more than 12+ years of experience in market research industry. 

Email: mayur@wissenresearch.com
LinkedIn:  https://www.linkedin.com/in/mayur-jain-0190542a/ 

About Wissen Research

Wissen Research is a global market intelligence and consulting firm specializing in healthcare, life sciences, technology, and emerging industries. The company provides data-driven insights, strategic market analysis, and industry forecasts to help organizations make informed business decisions and identify new growth opportunities across global markets

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Deep Principle Introduces Hydrogen-1.0 for AI-Driven Materials Discovery and Chemistry Research

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November 6, 2026

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LOS ANGELES, Nov. 6, 2026 /PRNewswire/ — On November 4, 2026, Deep Principle introduced Hydrogen-1.0, an open-weight scientific model that helps chemistry and materials research teams plan experiments, run computational workflows and explore candidates for desired material properties. Researchers can use Hydrogen-1.0 through Mira, Deep Principle’s AI Scientist, as well as model downloads and an API.

Built by post-training GLM-5.3, Hydrogen-1.0 draws on chemistry, materials science and life sciences data, together with records and agent trajectories from Deep Principle’s own laboratories. Supervised fine-tuning provides examples of reasoning, experimental protocols and results analysis; reinforcement learning uses feedback on research outcomes to improve decisions. Training preserves hypotheses, actions, observations and revisions, including failed attempts.

From chemistry research goals to laboratory protocols

For AI-assisted experiment design, Hydrogen-1.0 turns a brief research goal into an experimental plan, generates precise protocols and interprets results. It learns from Deep Principle’s electronic laboratory notebook records, supported by Mira’s agentic documentation, which connect experimental intent, procedures, observations and outcomes. In the company’s evaluation across shared experiment-planning questions, Hydrogen-1.0 achieved a higher mean rubric score than Kimi-K3.

A laboratory compilation example shows how Hydrogen-1.0 prepares instructions for particular equipment. In a 12-vial Suzuki coupling example, Hydrogen-1.0 wrote a JSON protocol and tested it in a virtual rehearsal. The rehearsal detected an attempt to aspirate without a fresh tip. Hydrogen-1.0 corrected the action order and successfully compiled the revised protocol before final execution and analysis handoff. The checks covered station capabilities, dependencies and action prerequisites.

Running simulations and exploring reaction pathways

In a polymer molecular dynamics example, Hydrogen-1.0 translated a materials question into an executable simulation workflow. It wrote Python to build a polyethylene melt, ran GROMACS, detected and repaired a topology error, and restarted the simulation. It then examined the corrected 40-nanosecond trajectory, including density, molecular packing, diffusion and chain dimensions.

For reaction pathway exploration, Hydrogen-1.0 generated 27 molecular structures through 30 plausible reactions in an Ireland–Claisen rearrangement network. The network includes competing branches and return paths around a five-step sequence of Cope and Claisen rearrangements and silyl shifts. In the selected comparison, the main route had a lower electronic barrier than its displayed alternative at each step. Mapping these possibilities helps researchers compare routes, identify potential bottlenecks and prioritize further investigation.

Selecting materials through repeated evaluation

Hydrogen-1.0 approaches materials discovery as a sequence of candidate choices and evaluations. Deep Principle trains the model on complete discovery trajectories that connect a desired property to candidate selection, synthesis strategies, evaluation and the next research decision. This gives the model experience in choosing what to investigate and using the resulting evidence to guide further exploration.

In a transition metal complex design evaluation, Hydrogen-1.0 recommended new complexes over five rounds, seeking a larger HOMO–LUMO gap. All models began with the same initial population. Each received only the results of its own recommendations as feedback for the next round, maintaining independent evaluation histories. By round five, the mean best-so-far gap reached 4.318 eV for Hydrogen-1.0, compared with 3.689 eV for GPT-6-Astra and 3.353 eV for Kimi-K3.

The result points to the potential of learning from discovery trajectories to help researchers find materials with desired properties in fewer attempts. Deep Principle’s next research focus is to extend learning across discovery targets and material families, so that experience from one campaign can improve the model’s approach to the next.

Scientific evaluations and access

In Deep Principle’s evaluations, Hydrogen-1.0 outperforms GPT-6-Astra on FrontierScience-Research and improves on GLM-5.3 on GPQA Diamond, roughly matching Kimi-K3 on the latter benchmark. In internal scientific computing and one-step forward reaction prediction tasks, Hydrogen-1.0 scored higher than GPT-6-Astra running at each of its low, high and maximum thinking settings. Against Astra at maximum thinking, its leads were 5.13 and 4.76 percentage points, respectively. Astra at maximum thinking scored 3.33 percentage points higher on NMR structure elucidation.

Deep Principle offers four routes to Hydrogen-1.0: open-weight downloads on Hugging Face and ModelScope, direct API access on NeuroSpark, and use within Mira.

Deep Principle worked with UniPat and Mind Lab on data, the training pipeline and infrastructure, and with NeuroSpark on training infrastructure. The company welcomes collaboration with the open-model community to develop scientific models and advance scientific discovery.

About Deep Principle

Deep Principle builds intelligence for scientific discovery in chemistry, materials science and life sciences. Its work connects scientific models, laboratory workflows and materials discovery. Mira is Deep Principle’s AI Scientist.

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SOURCE Deep Principle

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Cavli Wireless to Unveil P16QS LTE Cat 1bis Module and Cortex AI Coding Assistant at electronica 2026

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November 6, 2026

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MUNICH, Nov. 6, 2026 /PRNewswire/ — Cavli Wireless, a leading end-to-end IoT solutions provider, will unveil the P16QS LTE Cat 1bis System-on-Module (SoM) and Cortex AI, its autonomous firmware engineering assistant, at electronica 2026, taking place from November 10–13, in Munich, Germany. Visit Cavli Wireless at Hall C2, Booth 628, to explore our 5G module portfolio, including 5G RedCap and 5G NR solutions, our LTE Cat 1bis module portfolio, and the Cavli Hubble IoT connectivity and device management platform.

The showcase reinforces Cavli’s commitment to simplifying IoT development and deployment through integrated cellular hardware, connectivity, cloud-based device management, and AI-powered firmware engineering.

P16QS LTE Cat 1bis Module: Enabling Smart, Connected IoT Devices

The Cavli P16QS is a compact LTE Cat 1bis SoM designed for a wide range of connected applications, including payment terminals, connected soundboxes, cost-effective instrument clusters, vehicle telematics, asset and mobility tracking, and secure IoT devices. It combines cellular connectivity, local wireless communications, application processing, and hardware-backed security. Powered by a 32-bit RISC-V processor running at 325 MHz, the module supports RTOS-based application development and gives OEMs a foundation for connected-device designs.

Key features of the P16QS include:

LTE Cat 1bis connectivity with peak download speeds of 10 Mbps and upload speeds of 5 MbpsA 32-bit RISC-V processor operating at 325 MHz with integrated application processingWi-Fi 6 and Bluetooth Low Energy 5.4 for local wireless connectivityAn integrated secure element and interfaces for NFC, smart cards, and magnetic-stripe readers for payment-oriented designsOptional multi-constellation GNSS and optional integrated eSIM, with connectivity and device management through Cavli HubbleA compact 40.0 × 30.0 × 2.7 mm LGA package with peripheral and display interfaces

At electronica 2026, the P16QS will be featured in a Point-of-Sale (POS) solution concept, demonstrating how payment peripherals, local processing, secure connectivity, and wireless communications can be integrated into a single module-based design. Cavli will also showcase its other LTE Cat 1bis solutions, including the CQ16 and C16QS modules.

Explore P16QS: https://www.cavliwireless.com/iot-modules/c-series/p16qs

Cortex AI: Connecting Firmware Development Directly to Hardware

Cavli will unveil Cortex AI, an autonomous firmware engineering assistant developed to streamline application development for IoT-enabled solutions. Integrating programming tools, technical resources, and hardware testing into a unified workflow, Cortex AI automates key development stages, including code generation, compilation, flashing, and device boot-up. This streamlines firmware validation, reduces repetitive manual tasks, and helps engineering teams accelerate development cycles. Depending on project complexity and deployment requirements, Cortex AI aims to shorten development cycles traditionally measured in months to weeks.

5G at the Edge: CQM220 RedCap and CQM211 5G NR Router Prototypes

Cavli Wireless offers a comprehensive 5G portfolio spanning 5G RedCap, 5G NR, and automotive-grade modules for industrial, enterprise, and automotive IoT applications. The portfolio addresses mid-tier deployments requiring balanced performance, power efficiency, and cost, alongside bandwidth-intensive applications demanding multi-gigabit connectivity and automotive use cases with stringent manufacturing standards. At electronica 2026, Cavli will showcase router prototypes powered by its CQM220 5G RedCap and CQM211 5G NR modules, available in LGA and M.2 form factors to support diverse integration needs.

CQM220 5G RedCap Module

Built on 3GPP Release 17 and powered by the Qualcomm SDX35 chipset, the CQM220 is designed for efficient 5G connectivity in mid-tier IoT applications. It combines 5G RedCap with LTE Cat 4 fallback, integrated processing, dual-band GNSS and OpenWrt support, making it suitable for industrial gateways, smart infrastructure, healthcare devices and connected logistics systems.

Key features of the CQM220 include:

5G RedCap connectivity with peak download speeds of 220 Mbps and upload speeds of 120 MbpsLTE Cat 4 fallback with peak download speeds of 150 Mbps and upload speeds of 50 MbpsQualcomm SDX35 chipset with an Arm Cortex-A7 processor operating at up to 1.9 GHzOpenWrt support, PCIe Gen2, and USB 2.0 connectivityIntegrated dual-band GNSS for location-aware IoT applicationsLGA and M.2 form-factor options

CQM211 5G NR Module

The CQM211 is a high-performance 5G NR module for bandwidth-intensive IoT and machine-to-machine applications. Based on 3GPP Release 16 and powered by the Qualcomm SDX61 chipset, it supports multi-gigabit connectivity, LTE Cat 16 fallback, carrier aggregation and Yocto Linux. The module is suited for a wide range of applications, including industrial routers, broadband gateways, smart surveillance systems, and high-performance edge computing devices.

Key features of the CQM211 include:

5G NR peak download speeds of up to 2.5 Gbps in NSA mode and 1.5 Gbps in SA modeLTE Cat 16 fallback for connectivity across supported LTE networksQualcomm SDX61 chipset with Arm Cortex-A7 processing and Hexagon DSP capabilitiesSupport for 5G and LTE carrier aggregationYocto Linux support, PCIe Gen3, and USB 3.1/2.0 connectivityLGA and M.2 form-factor options

Visitors can see both modules in router prototypes and explore how their respective performance capabilities and interfaces align with different device architectures and application requirements.

Cavli Hubble: Visibility and Control Beyond Deployment

Cavli Hubble, Cavli Wireless’ unified IoT connectivity and device management platform, will be demonstrated live. The cloud-based environment brings together global cellular connectivity, eSIM lifecycle management, device monitoring, remote diagnostics and firmware management.

The demonstration will feature Hubble Lens for remote AT-command access and diagnostics, FOTA/DFOTA for remote firmware updates, and Hubble Cloud Connect for device-to-cloud data routing. These capabilities help OEMs and enterprises manage distributed IoT fleets, maintain operational visibility and reduce reliance on on-site intervention. Customer devices powered by Cavli modules will also be displayed to highlight real-world IoT applications.

“Building an IoT product should not automatically imply months lost in integrating hardware, connectivity, firmware tools and cloud operations together,” said John Mathew, Founder and Chief Executive Officer of Cavli Wireless

“With the purposefully designed P16QS, Cavli’s AI Coding Assistant for hassle-free firmware development, 5G modules and Hubble cloud platform, our goal is to create an effortless connected path from development to deployment.”

Cavli360: A Conversation Across the IoT Ecosystem

Visitors attending electronica 2026 in Munich can collect printed copies of Cavli360 IoT Magazine – Edition 1 from the Cavli Wireless booth (Hall C2, Booth 628) or access the digital edition by scanning the QR code available at the booth. Featuring insights from Cavli experts, customers, partners, distributors, and industry analysts, the inaugural edition explores 5G, AI-driven IoT, the evolution toward 6G, regional market trends, and industry collaboration.

Explore or request the magazine: https://www.cavliwireless.com/cavli360/edition-1.

About Cavli Wireless

Cavli Wireless is a global end-to-end IoT solutions provider enabling organizations to build, deploy, and manage connected products at scale. Cavli’s integrated hardware-to-cloud ecosystem combines cellular IoT modules with built-in eSIM connectivity and Cavli Hubble™, a cloud-based platform for IoT connectivity, device and SIM lifecycle management. With cellular modules designed, engineered and manufactured in India for a global customer base, Cavli combines integrated eSIM connectivity and Cavli Hubble device management to help businesses develop, connect and manage intelligent products. The company offers customized solutions supported by 24/7 global assistance.

About electronica 2026

electronica 2026 takes place November 10–13 at Trade Fair Center Messe München in Munich, Germany. The biennial international trade fair brings together technology manufacturers, component suppliers, developers, and industry professionals to explore advances in electronics, semiconductors, embedded systems, connectivity, automation, and emerging technologies.

Soorya Kumar, Senior Associate – Product Marketing
Cavli Wireless
soorya.kumar@cavliwireless.com
+91 6282714144
cavliwireless.com

 

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Analog Devices Completes Acquisition of Alif Semiconductor

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November 6, 2026

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TAIPEI, Nov. 6, 2026 /PRNewswire/ — Analog Devices, Inc. (NASDAQ: ADI) today announced the completion of its acquisition of Alif Semiconductor. The combination of ADI’s leadership across sensing, signal processing, power, connectivity and application software, with Alif’s AI-native microcontrollers and fusion processors, expands ADI’s total addressable market and accelerates innovation across industrial, data center infrastructure, defense, energy, robotics, digital health and wearable applications.

Commentary

“We are excited to welcome the Alif team to ADI and begin realizing the potential of bringing our technologies together,” said Vincent Roche, CEO and Chair of ADI. “For decades, ADI has helped customers solve their most complex system-level challenges through deep domain expertise and a cutting-edge technology portfolio spanning the physical-digital boundary. Alif’s AI-native platform builds on that foundation, advancing systems that can understand real-world signals, reason and act locally within demanding power, latency, security and reliability constraints. This is physical intelligence in action.”

About Analog Devices, Inc.

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com and on LinkedIn and X.

Forward-Looking Statements

This press release contains forward-looking statements, which address a variety of subjects including, for example, the expected benefits of the transaction; ADI’s expected product offerings and benefits of those offerings, product development, and technical advances resulting from the transaction; markets, market position, addressable markets, and growth opportunities; and other future events. Statements that are not historical facts, including statements about our beliefs, plans, and expectations, are forward-looking statements. Such statements are based on our current expectations and are subject to a number of factors and uncertainties, which could cause actual results to differ materially from those described in the forward-looking statements. The following important factors and uncertainties, among others, could cause actual results to differ materially from those described in these forward-looking statements: unforeseen or unknown liabilities; costs or expenses related to the transaction; the inability to retain key personnel; difficulties in integrating the acquired business; the risk that expected benefits of the transaction may not be realized or may take longer to realize than expected; and uncertainty as to the long-term value of our common stock. For additional information about factors that could cause actual results to differ materially from those described in the forward-looking statements, please refer to our filings with the Securities and Exchange Commission, including the risk factors contained in our most recent Annual Report on Form 10-K and Quarterly Report on Form 10-Q. Forward-looking statements represent management’s current expectations and are inherently uncertain. Except as required by law, we do not undertake any obligation to update forward-looking statements made by us to reflect subsequent events or circumstances.

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SOURCE Analog Devices, Inc.

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