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Microgrid Market to Grow by USD 41.38 Billion from 2025-2029, Driven by Demand to Address Power Infrastructure Issues, Report on Market Evolution Powered by AI – Technavio – Technavio

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NEW YORK, Feb. 11, 2025 /PRNewswire/ — Report on how AI is driving market transformation – The global microgrid market  size is estimated to grow by USD 41.38 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of  16.4%  during the forecast period.  Growing demand for microgrids to tackle power infrastructure issues is driving market growth, with a trend towards rapid advances in technology. However, high implementation costs  poses a challenge. Key market players include ABB Ltd, Anbaric Development Partners LLC, Canopy Power, Eaton Corp., Emerson Electric Co., Exelon Corp., General Electric Co., General MicroGrids, Gram Power (India) Pvt. Ltd., Honeywell International Inc., Pareto Energy, Power Analytics Corp., Powerhive Inc., S and C Electric Co., Schneider Electric SE, Siemens AG, Spirae LLC, Tesla Inc., TotalEnergies SE, and UL Solutions Inc..

AI-Powered Market Evolution Insights. Our comprehensive market report ready with the latest trends, growth opportunities, and strategic analysis- View Free Sample Report PDF

Forecast period

2025-2029

Base Year

2024

Historic Data

2019 – 2023

Segment Covered

Application (Remote, Institutions and campus, Military, and Others), Connectivity (Grid connected and Off-grid connected), and Geography (North America, APAC, Europe, South America, and Middle East and Africa)

Region Covered

North America, APAC, Europe, South America, and Middle East and Africa

Key companies profiled

ABB Ltd, Anbaric Development Partners LLC, Canopy Power, Eaton Corp., Emerson Electric Co., Exelon Corp., General Electric Co., General MicroGrids, Gram Power (India) Pvt. Ltd., Honeywell International Inc., Pareto Energy, Power Analytics Global Corp., Powerhive Inc., S and C Electric Co., Schneider Electric SE, Siemens AG, Spirae LLC, Tesla Inc., TotalEnergies SE, and UL Solutions Inc.

Key Market Trends Fueling Growth

The electricity utility business is undergoing significant transformations with microgrids emerging as the new foundation of the electricity sector. Advancements in compact energy storage systems, advanced control systems, and efficient renewable power generation sources are enabling the creation of energy resources closer to consumers without compromising energy quality. The declining cost of power generation is driving the adoption of decentralized power systems like microgrids, which is expected to increase their popularity among consumers. Blockchain technology, known for its association with bitcoins, is being integrated into microgrid systems for peer-to-peer energy trading. For instance, Brooklyn Microgrid’s blockchain-based peer-to-peer energy trading system approved a 12-month pilot program in early 2020, allowing locals to buy and sell solar energy within the New York City region. This initiative empowers individuals with surplus energy to earn income, revolutionizing the microgrid industry. Current microgrid systems utilize several power electronic devices and energy sources while connected to the grid or in island mode. The US Department of Energy (DOE) has designated R&D programs to develop next-generation microgrids with a capacity of less than 10 MW, capable of reducing outage time by more than 98%, reducing emissions by over 20%, and improving system efficiency by more than 20%. The USD425 million allocated to the Advanced Research Projects Agency-Energy, USD2,848 million to the Energy Efficiency and Renewable Energy, USD750 million to Fossil Energy’s R&D programs, and USD190 million to the Office of Electricity are expected to foster new technologies, enabling microgrids to work in parallel with utility distribution grids and transition seamlessly to an autonomous power system mode. These technological advancements will accelerate microgrid adoption and potentially disrupt the traditional power sector. Collaboration between utilities on microgrid projects is also anticipated due to these developments. Consequently, these factors are projected to fuel the growth of the global microgrid market during the forecast period. 

Microgrids are becoming a significant trend in the electric system, offering reliable electricity supply through renewable resources like wind, solar, and hydrogen. Smart microgrids are gaining popularity as power sources for regional electric grids, with prototypes using wind turbines, solar PV, and fuel cells. Hydraulic fracturing technology and diesel gensets are still used, but the shift is towards hybrid technology and distributed energy resources. Defense microgrids ensure energy security for defense bases and remote installations, including healthcare facilities and residential infrastructure. Energy storage systems reduce transmission losses and provide backup power for data centers, lighting, electronic goods, and public infrastructure like streetlights and traffic signals. The shift to microgrids reduces carbon footprint and decreases dependence on traditional fuel sources like diesel and fossil fuels. 

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Market Challenges

Microgrids represent a complex and costly power generation solution, involving advanced technologies for power generation resources, distribution infrastructure, and control systems. These components are categorized as infrastructure, generation, and controls. The cost of building a microgrid varies significantly, ranging from USD250,000 to USD100 million, depending on the specific customer requirements. Integration with additional technologies to ensure platform functionality increases equipment production costs. In the US, microgrids must adhere to mandatory standards like IEEE 1547 and 2030 for interaction with local utility distribution grids and their energy management systems (EMS), distribution management systems (DMS), and supervisory control and data acquisition (SCADA) systems. The high cost of microgrid components is a significant challenge for the global microgrid market’s growth.Microgrids offer a solution to various challenges in the power sector, including rural electrification, grid instability, and urbanization. In remote areas, microgrids can provide reliable electricity using solar-powered water pumps and energy-efficient technologies. Grid resiliency is improved through the use of local energy communities, grid-connected assets, and sophisticated controllers. Microgrid project implementation requires system engineers, monitoring systems, and a microgrid financing scheme. Hybrid microgrids can combine generators like CHP systems, natural gas, diesel, and energy storage devices. Grid-connected connectivity ensures power quality and grid infrastructure stability. Remote energy management and smart control solutions enable efficient distribution networks and fuel consumption solutions. Microgrid topologies and micro-sources vary, with hybrid networks offering the greatest flexibility. Power producers and energy storage devices play crucial roles in this growing market.

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Segment Overview 

This microgrid market report extensively covers market segmentation by

ApplicationRemoteInstitutions And CampusMilitaryOthersConnectivityGrid ConnectedOff-grid ConnectedGeographyNorth AmericaAPACEuropeSouth AmericaMiddle East And Africa

1.1 Remote- Remote microgrids have become essential in villages and regions where grid-connected power is unavailable or intermittent. The average capacity of these microgrids ranges from 10 kW. Prospective markets include India, Indonesia, Bangladesh, and several African and Southeast Asian countries. Diesel generators remain a significant component of remote microgrids, but the declining cost of solar panels and advancements in energy storage are enabling clean energy microgrids to reach areas where grid investments are not feasible. Energy storage systems are added to microgrids to reduce fuel costs, meet peak loads, and improve diesel generator efficiency. The increasing demand for electricity in remote areas, outpacing the expansion rate of conventional grids, is driving the deployment of remote microgrids. These systems are self-sustaining and not connected to grids, employing standalone power sources such as diesel generators, solar, and wind energy. Energy storage systems store excess solar and wind energy, providing continuous and reliable power. Remote microgrids offer ancillary services, including frequency and load regulation, which benefit utilities by increasing the integration of renewable energy sources into the grid, fueling their growth during the forecast period.

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Research Analysis

Microgrids are local electric systems that can operate independently or in parallel with the main power grid, supplying electricity to a local community or organization. They are becoming increasingly popular as the integration of renewable resources into electric grids grows. Microgrids utilize various power generation sources, including wind energy, solar energy, hydrogen, fuel cells, and battery storage systems. They can also include dispersed energy resources such as microturbines, wind turbine generators, solar generators, and energy storage. Microgrids can be designed with various topologies, including hybrid microgrid networks, to manage peak loads and electrical networks more efficiently. Smart microgrids can link loads and micro-sources to optimize energy usage and ensure a reliable electricity supply. Solar PV and other renewable resources play a significant role in microgrid power generation, while energy storage solutions help manage fluctuations in supply and demand. Off-grid microgrids provide electricity to remote areas not connected to the main power grid.

Market Research Overview

The microgrid market encompasses the development, implementation, and operation of electric systems that can operate independently or in parallel with the main power grid. These electric systems utilize renewable resources such as wind, solar, hydrogen, and others as power sources. Microgrids offer energy security and resilience, particularly in remote locations and defense applications. Smart microgrids use sophisticated controllers and monitoring systems to optimize energy usage and ensure grid stability. Fuel cells and battery storage systems provide backup power and energy storage capabilities. Microgrids can also be integrated with distributed energy resources like solar panels, wind turbines, and hydropower generators. The market includes various grid projects, from small-scale residential infrastructure to large-scale defense bases and data centers. Microgrids can reduce carbon footprint by utilizing renewable energy sources and energy-efficient technologies. The market also includes grid infrastructure development projects, rural electrification, and urbanization initiatives. Microgrids can help mitigate grid instability and congestion, making them an essential component of modern energy systems.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

ApplicationRemoteInstitutions And CampusMilitaryOthersConnectivityGrid ConnectedOff-grid ConnectedGeographyNorth AmericaAPACEuropeSouth AmericaMiddle East And Africa

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/

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SOURCE Technavio

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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
press@jamssoftware.com
800.261.4267

 

 

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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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