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KNX Products Market Sees 13% CAGR Through 2030 | Rising Demand in Smart Residential & Commercial Buildings | Valuates Reports

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KNX Products Market is Segmented by Type (Energy Management, HVAC Systems, Blinds & Shutters, Metering, Remote Control, Monitoring Systems, Fire & Smoke Detection, White Goods, Lighting), by Application (Commercial Building, Residential Building)

BANGALORE, India, April 18, 2025 /PRNewswire/ — The Global KNX Products Market is projected to grow from USD 6653.8 Million in 2024 to USD 13850 Million by 2030, at a Compound Annual Growth Rate (CAGR) of 13.0% during the forecast period.

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Major Factors Driving the Growth of KNX Products Market:

The KNX products market is transitioning from a specialist automation niche to a mainstream building technology backbone, supported by a maturing ecosystem of chipmakers, software vendors, and systems integrators. Annual revenues are projected to grow at double‑digit rates through 2030 as sustainability regulations and occupant comfort expectations converge. Competitive dynamics favour manufacturers offering secure IP‑enabled devices, intuitive commissioning tools, and lifecycle services, while late adopters risk commoditisation.

Strategic partnerships between lighting giants, HVAC OEMs, and cloud analytics platforms are emerging to deliver end‑to‑end solutions, prompting consolidation. Overall, KNX’s openness, scalability, and evolving cybersecurity profile position the standard to capture expanding budget allocations for smart buildings across residential, commercial, and public sectors worldwide despite cyclical construction slumps in developed economies everywhere.

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TRENDS INFLUENCING THE GROWTH OF THE KNX PRODUCTS MARKET:

Remote Control and Fire & Smoke Detection functionalities are jointly propelling the KNX products market by demonstrating the protocol’s ability to unify convenience and safety within one interoperable bus. Homeowners and facility managers increasingly demand smartphone dashboards that adjust HVAC, blinds, and multimedia scenes while simultaneously receiving alarms if sensors detect temperature rises or particulate concentrations. KNX‑certified actuators allow the same twisted‑pair backbone to transmit remote commands and trigger evacuation protocols, avoiding parallel wiring that inflates labour costs. Insurance providers grant premium discounts to buildings equipped with detection linked to response sequences, creating financial incentives for adoption. System integrators leverage these benefits to upsell retrofits in residential towers and commercial campuses, expanding unit shipments across luminaires, sirens, and gateway controllers.

Lighting applications continue to accelerate KNX product demand because they deliver immediately visible energy savings and user comfort enhancements that justify capital outlay. DALI‑KNX gateways and LED dimmer actuators enable dynamic daylight harvesting, occupancy‑based dimming, and colour‑tunable ambience controlled from wall panels or mobile apps. Facility managers slash electricity consumption by integrating sensor feedback loops that adapt luminance in real time, yielding sub‑three‑year payback periods even in high‑tariff regions. Moreover, architectural lighting designers value KNX’s interoperability with façade controllers and audiovisual systems, allowing synchronised scenes that enhance corporate branding experiences. The protocol’s decentralised topology lowers failure risk and simplifies expansion, prompting large office renovations and hospitality chains to specify KNX lighting nodes in tender documents worldwide for sustainability certifications too.

Electronics manufacturers are catalysing the growth of the KNX products market by embedding certified transceivers and microcontrollers directly into switches, sensors, and appliances, thereby expanding the addressable ecosystem. Semiconductor vendors now ship turnkey KNX system‑on‑chips with integrated power supply, encryption engines, and protocol stacks, reducing bill‑of‑materials cost for device OEMs. This hardware commoditisation encourages white‑label brands to release thermostats, actuators, and metering modules that interoperate from day one, accelerating network density. Consumer electronics giants additionally integrate KNX bridges into smart TVs and soundbars, positioning the standard as a whole‑home backbone rather than niche automation bus. As component costs fall, installers can target mid‑range housing segments, widening market penetration beyond luxury developments and expanding recurring maintenance revenue for installers providers.

Escalating electricity prices and carbon reduction targets have prompted governments to tighten building codes, such as Europe’s EPBD recast and India’s Eco‑Niwas Samhita, which require automated control systems for lighting and HVAC. KNX devices facilitate granular monitoring and regulation, enabling building owners to achieve class A energy performance without proprietary lock‑in. Utilities now offer incentive programmes that rebate up to thirty percent of installation costs when projects include open‑protocol controllers capable of demand response. These financial carrots coincide with looming penalties for inefficient assets, motivating landlords to adopt KNX quickly. Consequently, distributors report surging orders for multisensor units, presence detectors, and logic modules, translating policy pressure into hardware revenue growth across residential, commercial, and institutional segments worldwide.

Ageing office towers and apartment blocks often suffer from outdated relay logic, manual switches, and inefficient cabling that impede modern energy management. KNX’s twin‑bus topology and flexible power‑over‑bus capability make it ideal for incremental upgrades without costly rewiring. Installers can inject line couplers and replace existing pushbuttons with KNX keypads during weekend shutdowns, minimising tenant disruption. As corporate real estate owners seek to attract ESG‑minded occupants, retrofits that achieve double‑digit energy savings become investments. Manufacturers are responding with slim‑format actuators, RF‑enabled sensors, and ETS project libraries that expedite site surveys. The resulting surge in brownfield deployments widens the revenue funnel, especially in Europe and East Asia where infrastructure ages while labour shortages raise plug‑and‑play appeal.

The proliferation of Matter, Thread, and Zigbee devices has sharpened focus on open standards, encouraging integrators to adopt KNX as the backbone that orchestrates heterogeneous endpoints through IP routers and API gateways. Multi‑protocol hubs translate wireless sensor data into KNX telegrams, enabling centralised scene control and analytics without vendor silos. Cloud platforms further expose RESTful interfaces that visualise energy consumption trends across mixed networks, satisfying facility managers’ desire for single panes of glass. Because KNX Association certifies interoperability through rigorous testing, procurement teams gain confidence that newly purchased devices will cooperate, reducing lifecycle risk. This assurance stimulates demand not just for gateways but also for native KNX nodes, expanding component sales in both new builds and retrofits.

Training academies and manufacturer‑sponsored certification courses have grown rapidly, producing a global workforce proficient in the ETS configuration software and troubleshooting best practices. A larger talent pool lowers project risk and bidding prices, making KNX economically attractive compared with proprietary automation systems that depend on scarce specialists. Distributors leverage installer alliances to offer turnkey packages, including design consultancy, commissioning, and after‑sales maintenance, which streamline procurement for facility owners. Moreover, certified professionals act as evangelists, demonstrating live demos at trade fairs and social media, thereby amplifying word‑of‑mouth marketing. This virtuous cycle multiplies regional adoption, because developers prefer protocols where labour availability is assured, ensuring sustained hardware demand and recurring service revenue across suburban and rural settings alike.

Public authorities worldwide are funding intelligent lighting poles, traffic control cabinets, and energy‑positive public buildings that rely on interoperable automation. Bid specifications increasingly cite KNX because its decentralised architecture ensures resilience even if a controller fails, a critical feature for mission-critical infrastructure. Open procurement aligns with anti‑vendor‑lock‑in policies, enabling municipalities to run competitive tenders and stimulate local innovation ecosystems. Projects such as India’s GIFT City, Dubai’s Sustainable City, and Europe’s Horizon‑funded districts showcase flagship deployments that validate performance at scale. Demonstrated success attracts further grants and private co‑investment, creating a snowball effect that spreads adoption from civic assets into adjacent commercial real estate developments, lifting unit shipments while fostering public‑private research teams and local manufacturing jobs.

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KNX PRODUCTS MARKET SHARE:

The major players in the global KNX products market include Schneider, ABB, SIEMENS, etc. The top 3 players occupy about 20% shares of the global market.

North America and Europe are main markets, they occupy about 70% of the global market.  Europe remains the dominant KNX products market because the standard originated there and enjoys strong brand recognition among installers. High retrofit activity in Germany, France, and the Nordics, coupled with stringent energy regulations, sustains steady baseline demand.

Asia‑Pacific is closing the gap swiftly as China’s green building codes and India’s smart city programmes stimulate bulk procurement, while Japan favours KNX in hospitality projects ahead of global events.

Remote control and fire & smoke detection are the main types, with a share over 25%.

Residential building is the key application, which holds a share of about 55%.

Key Companies:

Schneider ElectricABB LtdSiemens AGHager (Berker)LegrandSomfyJUNGGIRAHDLSTEINELUrmetGVSB.E.G.DALITEKJOBO SmartechTiansuTheben AGRishun Technology

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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!

– The KNX Home Automation market size is about 8,579 Million USD in 2024, and is expected to reach 16,579 Million USD in 2030.

KNX Module Market

KNX Button Market

KNX Certified Products Market was valued at USD 7431 Million in the year 2024 and is projected to reach a revised size of USD 17280 Million by 2031, growing at a CAGR of 13.0% during the forecast period.

KNX Smart Home and Building Devices Market was estimated to be worth USD 37030 Million in 2023 and is forecast to a readjusted size of USD 103840 Million by 2030 with a CAGR of 15.9% during the forecast period 2024-2030.

KNX Sensors Market

KNX Power Supply Market

KNX Smart Home and Building Devices Market was estimated to be worth USD 37030 Million in 2023 and is forecast to a readjusted size of USD 103840 Million by 2030 with a CAGR of 15.9% during the forecast period 2024-2030.

KNX Room Controller Market

KNX Devices Market

KNX Products for Residential Building  Market was valued at USD 3449 Million in the year 2024 and is projected to reach a revised size of USD 4462 Million by 2031, growing at a CAGR of 3.8% during the forecast period.

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

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SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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