Sebi clarifies on cybersecurity and cyber resilience framework

Markets regulator Sebi on Thursday clarified that the cybersecurity and cyber resilience framework (CSCRF) applies only to systems used exclusively for its regulated activities.
Shared infrastructure will also be audited if not already covered by the RBI or another regulator.

Further, if regulated entities (REs) comply with RBI (or other regulator) cybersecurity rules that are equivalent to Sebi's, such compliance will be accepted by the markets watchdog.

In its circular, Sebi also elaborated on the definition of critical systems, stating that it includes all systems that affect core operations, store or transmit regulatory data, client-facing applications, internet-facing systems, and other systems on the same network.


REs have been asked to adopt zero-trust principles such as network segmentation, high availability, and avoiding single points of failure with approval from their IT Committees.


The regulator said that guidelines relating to mobile applications are recommendatory, not mandatory, while for cyber crisis response, entities must act as per their Cyber Crisis Management Plan instead of issuing press releases.

The regulator further clarified that deploying tools like threat simulations, vulnerability management, and decoy systems is encouraged but not compulsory.

Entities are also required to assess third-party/vendor risks in consultation with their IT Committees.

On audit-related matters, Sebi said, "While receiving and handling cyber audit reports submitted by their members, stock exchanges and depositories shall ensure that adequate safeguards are in place to maintain the confidentiality and integrity of such reports".

In terms of disaster recovery, REs must be capable of resuming critical operations within two hours (RTO), maintain a 15-minute Recovery Point Objective (RPO), and plan for scenarios where timelines are not met, Sebi said.

The regulator has also revised the thresholds and categorisation of regulated entities under the CSCRF. For Portfolio Managers, those with Assets Under Management (AUM) of Rs 10,000 crore and above will be categorised as Qualified REs, while those managing between Rs 3,000 crore and Rs 10,000 crore will fall under the Mid-size RE category.

Portfolio managers with AUM of Rs 3,000 crore or below will be treated as Small-size REs, and those below the minimum threshold may be classified as Self-certification REs with simplified compliance requirements.

Mixed-use building conversions only work if tenants can’t hear each other. So think about acoustic engineering early, says George van Hout, and be prepared to get creative.

Converting obsolete buildings to new uses preserves the carbon in their structures, and minimizes the upfront emissions from new construction. But how to retrofit them to modern standards without adding so much embodied carbon that it risks defeating the point?

That’s the tricky problem facing acoustics engineering specialists like WSP’s George van Hout. In New Zealand, where he is based, structures are typically made from lightweight materials such as timber: safer than masonry in the event of an earthquake, but less good at reducing noise transfer. This can pose a real challenge on adaptive reuse projects where a single-function building is converted for multiple uses – for example, an underoccupied office repurposed to accommodate a mix of residential, commercial and leisure. If there are disused spaces or dead ends where there’s no natural surveillance, or a lot of graffiti, these things make people feel they’re at higher risk of being a victim. This particularly affects women, who are often reluctant to use public spaces for fear of harassment or attack. For example, research by my WSP colleagues in London found that 94% of women felt threatened when using public transport, and that 76% avoided doing so at night.

“Fundamentally, the way sound transfers between two spaces depends on the mass between them,” he explains. “There are innovations coming out all the time, but it always comes back to the same principles. We can provide cavities and insulation, as well as including vibration isolation to separate spaces more efficiently – but to reduce noise, you need mass (because of what we call the ‘mass law’) and that won’t change.”


How is sound transmitted through buildings?

George and his acoustic engineering team consider three key types of sound transfer: “The first is sound transmission between two spaces: how much sound is reduced from one side of a wall or floor to the other, particularly for speech privacy. The second is reverberation time, or how much the sound builds up in the space. If you’re in a restaurant that gets noisier and noisier until you can’t hear the person across the table from you, that’s because the reverberation time is too long. The third is impact noise. In lightweight structures, you may be able to hear people walking on hard surfaces above you. Or if there’s a gym, you might hear the dropping of weights or people jumping up and down.”

In a brand new building, everything can be controlled: the mass of the structure, the wall construction, the surface finishes. With an adaptive reuse, there are more constraints, says George. “A lot of old buildings have quite low floor-to-ceiling heights, which reduces the scope to add drop ceilings, or to build up the floor to control noise transfer and vibrations.

Composting helps the planet. This is how to do it, no matter where you live

Most of what goes into U.S. landfills is organic waste, ranging from household food scraps to yard trimmings. That's a problem because in that environment, organic waste is deprived of oxygen, which helps break material down.

The result: the release of a lot of methane, a potent greenhouse gas that contributes to global warming.

Consumers can curb their environmental impact by composting, which helps break material down in ways that reduce the release of methane. This can be done whether someone lives in a home with a yard or in an apartment without outside space. Composting also alleviates pressure on landfill space and results in a nutrient-rich substance that help soil.

Robert Reed, with the recycling and composting company Recology, said that applying compost makes soil better at retaining moisture, which makes it resilient against droughts, wildfires and erosion.


For people who want someone else to compost their food scraps, some local governments offer curbside pickup. Otherwise, nonprofits, farmers markets and community gardens often fill that gap. Companies in some areas also will pick up the food waste to be taken away for composting for a fee.

For those who want to try composting at home, here's how to get started.

If you’ve got a yard

Composting doesn't necessarily require much space. Even 4 square feet — roughly the size of a standard office desk — can do the trick. Common receptacles include open wooden bins or large barrel-shaped tumblers that you can rotate on a metal rod. Free-standing piles also work.

Some people follow a strict schedule of turning the pile, often with a hoe or shovel, or adding to it regularly. Backyard composting typically relies on microbes to break down the waste, which can bring a pile's temperature up to 130-160 degrees Fahrenheit (54-71 degrees Celsius). Others follow a more passive approach.


Experts break the composting recipe down into four main ingredients: water, oxygen, nitrogen-rich “greens” (food scraps, grass clippings) and carbon-rich “browns” (cardboard, dead leaves, shredded paper). Typically compost has two or three times as much “brown” material as “green.”

The Environmental Protection Agency recommends against meat, bones, dairy, fats and oils in backyard compost piles because they typically don't get hot enough to fully break them down, and because they're more likely to attract pests. The agency also says to steer clear of treated wood, glossy paper, pet waste and compostable dishware or bags.

Experts say composters can experiment with what works and what doesn't. Rodale Institute Senior Farm Director Rick Carr said he's tried animal products and just about everything in his household. Hair from the hair brush and fully cotton swabs break down great. Cotton T-shirts? Not at all.

“If you’re unsure if it’ll break down, put it in there and you’ll find out,” he said.


The bacteria and fungi feed on the pile of organic waste and turn it into compost. The finished product looks like moist, dark soil. The EPA says a well-tended pile can produce finished compost in three to five months, while a more passive pile that doesn't reach high temperatures may take up to a year.

Bob Shaffer, who owns a company called Soil Culture Consulting, said that for him, the process can take closer to nine months, but it's easy to tell when it's finished.

“When you look at compost, what you should not be able to see is, oh, there’s a leaf. There’s that carrot top that I put in there 10 months ago. You shouldn’t be able to discern what the material is,” he said.

Common pitfalls

Most composting problems happen when the ingredients get out of whack.


One way to make sure you’ve got the right balance of “greens” and “browns” is a “squeeze test,” by reaching into the pile and grabbing a handful then letting it go, said Nora Goldstein, editor of the organics recycling magazine, Biocycle.

“If it just kind of crumbles off your hand, it’s too dry. If you squeeze and get a little bit of drips, it’s a little wet. But what you want is to squeeze it, let it go, and have kind of a coating on your hand.”

 

Written by Cherry Gupta
New Delhi | August 21, 2025 01:31 PM IST

3 min read




Top 10 smart cities in the world 2025: IMD Smart City Index ranks cities worldwide; know where do Indian cities rank globally. (Source: Canva Pro)


IMD Smart City Index 2025 Rankings: In the latest Smart City Index 2025 released by the International Institute for Management Development (IMD), Swiss cities continue to dominate.

Zurich retains its No. 1 spot, while Geneva climbs to third and Lausanne ranks 10th, reflecting Switzerland’s strong urban planning and citizen-centric infrastructure.


The Middle East has shown the most dramatic improvement, with Dubai having leapt from 12th to 4th place, and Abu Dhabi from 10th to 5th, signalling their rapid progress in sustainable infrastructure and digital services.
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READ | Top 10 countries for millionaire migration in 2025: India faces major wealth exodus as millionaires leave in droves

Meanwhile, Singapore, long considered a benchmark, slipped from fifth to ninth place.
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Six new entrants joined the global rankings this year: AlUla (Saudi Arabia), Astana (Kazakhstan), Caracas (Venezuela), Kuwait City (Kuwait), Manama (Bahrain), and San Juan (Puerto Rico).

Although rankings remain stable with only minimal changes, there has been a significant shift in the global top 20 for 2025—Taipei City, the capital of Taiwan, has fallen from 16th to 23rd place, while Ljubljana, the capital of Slovenia, has made an impressive rise from 32nd to 16th.
What is a Smart City?

IMD defines a smart city as “an urban setting that applies technology to enhance the benefits and mitigate the drawbacks of urbanisation for its citizens.” The ranking evaluates cities on five parameters: health and safety, mobility, activities, opportunities, and governance.
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LATEST | Top 10 most competitive global economies in 2025: Where does India rank?
IMD Top 10 Smart Cities in the World 2025:

Smart City Rank 2025 City Country Smart City Rating 2025 Smart City Rank 2024 Change
1 Zurich Switzerland AAA 1 —
2 Oslo Norway AAA 2 —
3 Geneva Switzerland AAA 4 ▲1
4 Dubai UAE A 12 ▲8
5 Abu Dhabi UAE A 10 ▲5
6 London United Kingdom AA 8 ▲2
7 Copenhagen Denmark AAA 6 ▼1
8 Canberra Australia AAA 3 ▼5
9 Singapore Singapore AAA 5 ▼4
10 Lausanne Switzerland AAA 7 ▼3


Source: IMD Smart City Index 2025

Methodology: The ranking assesses how urban technologies and infrastructure perform in five key areas –health and safety, mobility, activities, opportunities, and governance.
Where do Indian cities rank in the Smart City Index 2025? Indian cities’ rankings in the IMD Smart City Index over the years (Source: IMD Smart City Index)

Fusion research advances with 2PP for ignition capsule fabrication

A collaborative team involving LLNL, LANL, GA and the NIF leveraged UpNano's 3D printer for laser concentration inertial confinement fusion
 August 19, 2025
1 minute read

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A collaborative team of researchers from Lawrence Livermore National Laboratory, the Laboratory for Laser Energetics, General Atomics, and Los Alamos National Laboratory has achieved a major step forward in inertial confinement fusion (ICF) technology. Their recent study, published in Physics of Plasmas and led by G. Elijah Kemp and Xiaoxing Xia, demonstrated the successful use of the NanoOne two-photon polymerization (2PP) 3D printing platform from UpNano to fabricate complete fusion target capsules with unprecedented precision.

The capsules, measuring 3 millimeters in diameter, were printed with an integrated 120-micron-thick gyroidal foam layer at a density of 120 mg/cc. This delicate structure, built with a period of 80 microns and a theoretical wall thickness of just 4 microns, was manufactured in a single, continuous print. The achievement represents a breakthrough in scalability and reliability, moving closer to the production of leak-tight wetted foam capsules suitable for high-energy fusion experiments.

This innovation directly supports ongoing efforts to explore polar direct drive wetted foam concepts as potential neutron sources at the National Ignition Facility (NIF). Unlike the traditional laser indirect drive method that recently demonstrated ignition, polar direct drive offers several advantages: less damaging laser energy requirements, greater resilience to imperfections in targets and laser delivery, and significantly reduced target debris. These qualities make the approach attractive for both scientific neutron source applications and future inertial fusion energy systems.

The study highlights how additively manufactured capsules could simplify and accelerate target production while reducing costs. By integrating complex foam structures and vapor barriers into a single print, researchers are overcoming long-standing fabrication challenges. This work also opens pathways for improved hydrodynamic performance and enhanced robustness of fusion targets under extreme conditions.

As the first demonstrations of this technology move toward experimental application at NIF, the scientific community anticipates that such advancements could redefine what is possible in controlled fusion research. With continued progress, these techniques may pave the way toward more practical and sustainable paths to fusion energy, offering new tools for both fundamental science and future clean power generation.

Researcher: We can build safer tunnels with artificial intelligence

edited by Lisa Lock, reviewed by Robert Egan
Editors' notes
The future of tunnel construction isn’t just about better explosives, steel, and machinery. It’s digital, data-driven, and smarter. And perhaps most importantly: safer, writes the author. Credit: Norwegian Geotechnical Institute

Every day, new tunnels are being built through rock across the country. The completed tunnels are safe, but the construction phase presents challenges.


For those working with blasting and drilling, the risk of rockfalls, water ingress, or unpredictable rock conditions is part of daily life. So how can we make this phase safer, more precise, and less costly?

My answer is: with the help of artificial intelligence.

"Rock" refers to the material we drill and blast through, while "mountain" describes the landform we see in nature. This article is about rock.
Too many subjective assessments

Over many years working on various tunnel and mining projects, I've seen that many decisions in tunnel construction are still based on experience and often subjective judgment.

In the planning phase, we use core samples and seismic data to predict conditions. During excavation, the rock mass is assessed visually, and we analyze how the drilling machine behaves.

For example, rapid penetration into the rock may indicate weaker zones. But without the ability to see inside the rock, these assessments carry a degree of uncertainty. That's where the risk lies.

Today, we have access to far more data than we actually use. A modern drilling machine collects thousands of measurements per minute while drilling. This is called MWD data—"Measure While Drilling."

MWD data acts like a signature of the rock: We get information about the rock's resistance, how much water flushing is needed, and how much pressure is required to drill forward. These data are often just stored and not actively used for decision-making.

India’s electronics production reaches $133 billion in a decade, exports surge

NEW DELHI — In a major fillip to the 'Make in India’ initiative, India’s electronics production has surged from $31 billion to $133 billion in a decade beginning 2014-15, Commerce Minister Piyush Goyal has said.



The electronics exports have also seen a surge of over 47 per cent in Q1 of 2025-26 over the same quarter in 2024-25, the minister informed via an X post.



“Our government has created several enablers for making India Aatmanirbhar in manufacturing. As a result, we have moved from having 2 mobile manufacturing units in 2014 to over 300 today,” he added.



One of the greatest journeys has been the transformation from a mobile importer to becoming the world's second-largest mobile phone manufacturer.




Also read: India’s forex reserves surge by $4.75 bn to scale $693.6 bn mark




“The electronics sector has also generated large-scale employment opportunities with solar modules, networking devices, charger adapters, and electronic parts, also playing a key role in strengthening our exports,” said Goyal.



According to latest data compiled by the India Cellular and Electronics Association (ICEA), electronics exports reached $12.4 billion in Q1 FY26, up from $8.43 billion in the same period last year. With this momentum, the industry body projects that electronics exports are expected to touch $46–50 billion by the end of the fiscal year.



The standout performer was the mobile phone segment, which grew by 55 per cent, from $4.9 billion in Q1 FY25 to estimated $7.6 billion in Q1 FY26.



Non-mobile electronics exports also posted solid growth, rising from $3.53 billion to estimated $4.8 billion, an increase of 36 per cent. These include key product segments such as solar modules, switching and routing apparatus, charger adapters and parts, and components.



The electronics manufacturing sector has undergone a historic transformation over the past decade. This growth was enabled by well-calibrated policy interventions such as the Phased Manufacturing Programme (PMP), Production Linked Incentive (PLI) schemes, and strong state-industry collaboration.

How Machine Learning is Helping Companies Meet ESG Goals

Chennai, Aug 13 (PTI) TVS Supply Chain is engaged in leveraging Artificial Intelligence (AI) and Machine Learning (ML) across its operations, aimed at improving the productivity and providing a scalable tech-enabled platform for future growth, Executive Chairman R Dinesh said.

The signing of Free Trade Agreement between India and the United Kingdom in July, positions his company to support Indian businesses expanding into the UK market and also UK businesses who are willing to invest in India, he said, while addressing shareholders at the 21st Annual General Meeting through virtual mode.

"We continue to sharpen our focus on operational efficiency as a key driver of sustainable performance. Through strategic initiatives, we are building a more agile organisation that is better aligned with evolving market dynamics and customer proximity, " Dinesh saidSimultaneously, we are also leveraging AI and Machine Learning across our operations, deploying a robust platform that supports multiple high impact used cases," he noted.

Through the enterprise grade AI platform, he said, "In collaboration with the Manchester Metropolitan University in the United Kingdom, we are fast tracking AI adoption, driving innovation and delivering transformative solutions across our operations and services."

Such initiatives were helping TVS Supply Chain Solutions to improve decision-making and productivity, besides providing a scalable technology-enabled platform for future growth.

"We will continue to further integrate our operations across regions and business verticals enabling us to operate as a single cohesive entity, which we refer to as TVS One SCS", he said.

Environmental Impact of Digital Twin Health Care Services

Dr. Cristina Richie, Lecturer in Ethics of Technology, Department of Philosophy, Edinburgh University Future’s Institute, looks at the ethical considerations raised by the environmental impact of “digital twins”.












Technology has revolutionised health care. As medicine and science intersect, more health care adopts and uses technological innovations from other scientific disciplines. From gene-editing to robotic surgery, health care in most of the industrialised world is highly technological. One of the newer advances in health care is the use of “digital twins” (DT).

Essentially, DT use computer modelling to “provide digital representation of the equipment that can mimic properties and behaviours of a physical device.” In health care, the physical device is the person. Like a computer-generated model of a building that an architect may use to record and test design, DT capture health care information about a person. Koen Bruynseels, Filippo Santoni de Sio, and Jeroen van den Hovendefine medical digital twins as “an emerging technology that builds on in silico representations of an individual that dynamically reflect molecular status, physiological status and life style over time.” DT allow the users to run simulations on how the product/ person will perform; DT store and maintain data on the equipment and tests, and DT offer preliminary results on how the model/ prescription plan/ biodata will perform based on algorithms. When DT are translated to health care, the doctor becomes the “human user” and the patient the “model.” DT rely on medical tracking through the use of medical devices that transmit biodata to computers. Visual images of DT in health care can be found in a number of journals.

While DT may be used over the life course of an individual, they may also be a time-targeted tool. In the latter, DT would capture relevant health care information about individuals—for instance, glucose levels for diabetics, and can record real-time bioinformation during a period of medical risk. DT can assist predictive oncology and can track “the whole human body, one body system or body function (e.g., digestive system), one body organ (e.g., stomach or liver), one cell of a given type, or even simply some specific subcellular (organelle/sub-organelle) or molecular level of interest within a cell.” DT offer the potential for better precision and personalised health care, but also “precision public health” through aggregated data on patient populations. If, for instance, Hispanic males age 30-60 in Arizona with high cholesterol agree to digital tracking and monitoring, then, perhaps other groups of Hispanic males can benefit from the bioinformation, if it is shared and accessible to clinical researchers. In this way, the more people who use these technologies, the better it is for those who must wait for access to better health care and roll-out periods of DT services.

Digital twins are exciting to many in health care who see the use of technology as beneficial in servicing patients, facilitating precision medicine, and maintaining personal health. However, they also raise a number of ethical concerns about accessibility, cost, privacy, and benefit to user. DT are a sophisticated technology that is not globally accessible and deepens growing divides in medical access. The technologies which interface with DT—like personal wearable sensors and software on phones—may be cost prohibitive if they must be purchased by the individual (e.g., Apple Watch) instead of given as part of subsidised health care (e.g., at home cardiac monitors).

Privacy is not only compromised, but totally lost, when biodata is used for aggregate population predictions, even when it is voluntarily shared. Biodata—like all data—runs the risk of being datamined by hackers and may include sensitive personal information like geographical movement and financial transactions. Moreover, DT may not benefit the individual using them, unless they are tied to a clinical concern; people enjoy health technologies like Fit Bits simply out of curiosity. Even when DT are employed to assist patient treatment and prevention plans, they are not totally accurate and can lead to misdiagnosis. As these ethical concerns have been somewhat addressed in literature,attention needs to be paid to the ecological implications of use and dissemination of DT.

Personalised health monitoring, maintenance of electronic records, and stored patient data banks all have a carbon footprint. Although lifecycle assessments (LCA) of individual medical procedures—whereby the total carbon footprint of an item is calculated—are becoming more common, most health care services have not been a calculated. Therefore, best estimations between DT infrastructure and parallel services that have a LCA attached to them—or life cycle thinking—is one approach to understanding the possible environmental footprint of DT. For instance, one outpatient appointment emits 50 kg of CO2 equivalent; DT would add to these carbon emissions when they are used in both outpatient and inpatient services.

Moreover, DT which relies on artificial intelligence—for triage algorithmsor predictive artificial intelligence (AI) for health care disease—must go through programming, running, and training. By way of estimation, 40 days of training Google’s AlphaGo Zero game had the carbon impact of 1,000 hours of air travel. While DT AI infrastructure has not been calculated or predicted, simply the knowledge that AI is carbon intensive is an environmental consideration, in addition to other well-known environmental aspects of AI and technological use, like the carbon associated with extraction of minerals, metals, and plastics necessary for AI capable hardware.

Additionally, many of the necessary minerals are mined in conflict areas and mining often takes place under poor labour conditions. In “Anatomy of an AI System,” Kate Crawford and Vladan Joler tracked the environmental and labor resources required to develop, produce, maintain, and dispose of an Amazon Echo, illuminating the far reaching impact of technology. Fossil fuel use, mineral mining for chips, exploitative human labor, and the significant waste produced by consumer gadgets designed for planned obsolescence are often at work in medical technologies, undermining the ethics of their development and production even before they are in use.

Beyond the carbon from in/outpatient use and the carbon from AI in DT, one might also look at parallels with telemedicine, which DT uses when communicating with personal monitoring devices, operationalising patient consultations, allocating patient flow to practitioners, and securing patient data. In 2012, PLoS One recorded that the carbon cost of 238 telemedicine appointments in Sweden was 602 kg CO2 with a range of 1.86–8.43 kg CO2 per 1‐hr telemedicine appointment.

As digital twins evolve, as well as an awareness of carbon emissions and calculation of carbon emissions of health care, more data will be available with which to determine just how carbon intensive DTs are. Even so, the metric of carbon emissions is ethically and scientifically problematic and using CO2 as a proxy for environmental sustainability is insufficient, as safe amounts of carbon has been exceeded.

Moreover, a carbon number assigned to a procedure does not account for other ethical aspects of health care, carbon emissions, or health care delivery like distributive justice and is therefore morally reductionistic. Hence, principles for sustainability, ecological wisdom (reduce; reuse; recycle), and individual action are likely to be needed in making DT more sustainable as society awaits more carbon data.

System Integration Services Market Size Future Scope, Demands and Projected Industry Growths to 2033

 The global System Integration Services Market is estimated to be valued at USD 412.6 billion in 2024, and it is projected to reach approximately USD 872.3 billion by 2033, growing at a CAGR of 8.6% during the forecast period from 2025 to 2033.

System Integration Services Market Overview:

The System Integration Services Market is experiencing robust growth, driven by the increasing adoption of cloud computing, IoT, and automation technologies across enterprises. These services help organizations seamlessly integrate diverse IT systems, software, and hardware to enhance workflow efficiency and data consistency. As digital transformation accelerates, industries such as BFSI, healthcare, retail, and manufacturing are heavily investing in integration services to unify their operations and improve decision-making. Demand for cybersecurity integration and scalable cloud-based platforms is also propelling market expansion. Moreover, the rise in smart infrastructure and government digitalization initiatives is expected to further boost market growth, particularly in emerging economies.

Request a sample copy of this report at: https://www.omrglobal.com/request-sample/system-integration-services-market

Advantages of requesting a Sample Copy of the Report:
1) To understand how our report can bring a difference to your business strategy
2) To understand the analysis and growth rate in your region
3) Graphical introduction of global as well as the regional analysis
4) Know the top key players in the market with their revenue analysis
5) SWOT analysis, PEST analysis, and Porter's five force analysis

The report further explores the key business players along with their in-depth profiling
IBM Corporation, Capgemini SE, Tata Consultancy Services (TCS), Infosys Limited, Cognizant Technology Solutions, DXC Technology, Wipro Limited, Hewlett Packard Enterprise (HPE), and Oracle Corporation.

System Integration Services Market Segments:

📌 By Service Type
• Infrastructure Integration Services
• Application Integration Services
• Consulting Services

📌 By Deployment Mode
• On-Premises
• Cloud-Based
• Hybrid

📌 By End-Use Industry
• BFSI (Banking, Financial Services & Insurance)
• Healthcare
• IT & Telecom
• Manufacturing
• Retail & E-commerce
• Energy & Utilities
• Government & Defense
• Transportation & Logistics

📌 By Organization Size
• Large Enterprises
• Small and Medium Enterprises (SMEs)

Report Drivers & Trends Analysis:
The report also discusses the factors driving and restraining market growth, as well as their specific impact on demand over the forecast period. Also highlighted in this report are growth factors, developments, trends, challenges, limitations, and growth opportunities. This section highlights emerging System Integration Services Market trends and changing dynamics. Furthermore, the study provides a forward-looking perspective on various factors that are expected to boost the market's overall growth.

Competitive Landscape Analysis:
In any market research analysis, the main field is competition. This section of the report provides a competitive scenario and portfolio of the System Integration Services Market's key players. Major and emerging market players are closely examined in terms of market share, gross margin, product portfolio, production, revenue, sales growth, and other significant factors. Furthermore, this information will assist players in studying critical strategies employed by market leaders in order to plan counterstrategies to gain a competitive advantage in the market.

Regional Outlook:
The following section of the report offers valuable insights into different regions and the key players operating within each of them. To assess the growth of a specific region or country, economic, social, environmental, technological, and political factors have been carefully considered. The section also provides readers with revenue and sales data for each region and country, gathered through comprehensive research. This information is intended to assist readers in determining the potential value of an investment in a particular region.

» North America (U.S., Canada, Mexico)
» Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
» Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
» South America (Brazil, Argentina, Rest of SA)
» Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)

If you have any special requirements, Request customization: https://www.omrglobal.com/report-customization/system-integration-services-market

Technical SEO isn’t optional in 2025. Learn how to boost crawl efficiency, and future-proof your site for LLMs and AI-powered search.


Carolyn ShelbyJuly 9, 2025
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9 min read57
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For all the noise around keywords, content strategy, and AI-generated summaries, technical SEO still determines whether your content gets seen in the first place.

You can have the most brilliant blog post or perfectly phrased product page, but if your site architecture looks like an episode of “Hoarders” or your crawl budget is wasted on junk pages, you’re invisible.

So, let’s talk about technical SEO – not as an audit checklist, but as a growth lever.

If you’re still treating it like a one-time setup or a background task for your dev team, you’re leaving visibility (and revenue) on the table.

This isn’t about obsessing over Lighthouse scores or chasing 100s in Core Web Vitals. It’s about making your site easier for search engines to crawl, parse, and prioritize, especially as AI transforms how discovery works.

Crawl Efficiency Is Your SEO Infrastructure

Before we talk tactics, let’s align on a key truth: Your site’s crawl efficiency determines how much of your content gets indexed, updated, and ranked.

Crawl efficiency is equal to how well search engines can access and process the pages that actually matter.

The longer your site’s been around, the more likely it’s accumulated detritus – outdated pages, redirect chains, orphaned content, bloated JavaScript, pagination issues, parameter duplicates, and entire subfolders that no longer serve a purpose. Every one of these gets in Googlebot’s way.

Improving crawl efficiency doesn’t mean “getting more crawled.” It means helping search engines waste less time on garbage so they can focus on what matters.
Technical SEO Areas That Actually Move The Needle

Let’s skip the obvious stuff and get into what’s actually working in 2025, shall we?
1. Optimize For Discovery, Not “Flatness”

There’s a long-standing myth that search engines prefer flat architecture. Let’s be clear: Search engines prefer accessible architecture, not shallow architecture.

A deep, well-organized structure doesn’t hurt your rankings. It helps everything else work better.

Logical nesting supports crawl efficiency, elegant redirects, and robots.txt rules, and makes life significantly easier when it comes to content maintenance, analytics, and reporting.

Fix it: Focus on internal discoverability.

If a critical page is five clicks away from your homepage, that’s the problem, not whether the URL lives at /products/widgets/ or /docs/api/v2/authentication.

Use curated hubs, cross-linking, and HTML sitemaps to elevate key pages. But resist flattening everything into the root – that’s not helping anyone.

Example: A product page like /products/waterproof-jackets/mens/blue-mountain-parkas provides clear topical context, simplifies redirects, and enables smarter segmentation in analytics.

By contrast, dumping everything into the root turns Google Analytics 4 analysis into a nightmare.

Want to measure how your documentation is performing? That’s easy if it all lives under /documentation/. Nearly impossible if it’s scattered across flat, ungrouped URLs.

Pro tip: For blogs, I prefer categories or topical tags in the URL (e.g., /blog/technical-seo/structured-data-guide) instead of timestamps.

Dated URLs make content look stale – even if it’s fresh – and provide no value in understanding performance by topic or theme.

In short: organized ≠ buried. Smart nesting supports clarity, crawlability, and conversion tracking. Flattening everything for the sake of myth-based SEO advice just creates chaos.
2. Eliminate Crawl Waste

Google has a crawl budget for every site. The bigger and more complex your site, the more likely you’re wasting that budget on low-value URLs.

How Digital Twin Technology is Reshaping Industries

University of New South Wales


edited by Sadie Harley, reviewed by Andrew Zinin
Editors' notes
Credit: Pixabay/CC0 Public Domain

Imagine if you could peer into the future of a machine—track its wear and tear, predict when it might fail, and fine-tune its performance—all without touching it.


That's the promise of digital twin modeling: a virtual model that evolves and adapts with its real-world doppelganger.

Unlike static simulations or 3D models, digital twins—developed using expert knowledge—are constantly updated by live data collected from the physical asset they represent, whether that's a wind turbine, a car, or even a human heart.

This real-time feedback allows engineers to track performance, predict faults before they occur, and plan for short and long-term maintenance with better accuracy.

It's reported that 29% of global manufacturing companies have either fully or partially implemented a digital twin strategy.

Associate Professor Pietro Borghesani, from UNSW's School of Mechanical and Manufacturing, says in industries where safety, reliability and cost-efficiency are vital, digital twin modeling is extremely valuable in asset management.

"A digital twin doesn't just simulate, it lives with the machine," he says. "You can use the digital history of your machine to control how the asset degradation is evolving and then use that knowledge to streamline your operations.

"Instead of being reactive to what happens to the asset, it allows us to plan—but with better accuracy."


From wind turbine blades to heartbeats

Digital twins are already being used to monitor complex systems in the manufacturing and energy sectors. However, the technology isn't confined to large, physical machines.

It's widely used by construction companies to design and build phases of a structure to uncover issues before they develop and become costly.

In the medical industry, biomedical researchers are also experimenting with digital twins of human organs, such as the heart, to better understand disease progression and to personalize treatments.

"The same principles apply: feed in patient-specific data, update the model continuously, and simulate future outcomes," says A/Prof. Borghesani

"The only thing that changes is the physics. For a machine, we use dynamics and vibration analysis. For a human heart, it's about biology and medicine."
Data is king—but expertise still rules

The backbone of a successful digital twin is data, and lots of it. But even with advancements in sensors and Internet of Things (IoT) devices, collecting enough high-quality data can still be a barrier.

Professor Zhongxiao Peng, who leads the Tribology and Machine Condition Monitoring Research Group at UNSW, says to build a good digital twin, you need both data and strong fundamental knowledge of how the system works.

"In many critical applications, it is often difficult to collect large amounts of data, especially under different operating or faulty conditions," she says.

"For example, if you are using a digital twin to predict wind turbine failures, you don't want a lot of data because that would mean that many wind turbines have failed—which I know is a little contradictory.

"In these cases, human expertise steps in to build the models from fundamental physical principles. Then the digital twin can be fine-tuned with whatever data is available."

Digital twins aren't just useful for predicting failures or reducing downtime. They also serve as digital repositories of institutional knowledge.

A/Prof. Borghesani says one of the biggest advantages for companies is that you can embed the expertise of an experienced engineer into the digital twin. In that way, the expertise doesn't walk out the door when they leave the organization.

"This is especially appealing to medium-sized firms, which often struggle to recruit or retain highly specialized staff. A well-designed digital twin acts as both a performance monitor and a training tool for the next generation of engineers."
Scaling up: From machines to cities

As the scale of assets grows, so do the challenges of deploying digital twins.

For large-scale systems, such as complex road networks or energy infrastructure, traditional sensors can be costly or impractical to install across every data point.

A/Prof. Borghesani says approaches such as 'crowd sensing' may offer a solution to this problem.

"Researchers have explored the idea of using everyday activities to collect live performance data," he says.

"Imagine you could help collect data on road infrastructure just by driving your normal route to work. There have been studies that have done just that, with multiple vehicles collecting data to estimate road roughness."

A/Prof. Borghesani acknowledges that issues around privacy and data ownership have limited the adoption of this idea but says other data sources such as publicly available satellite images could be used as sensors too.

"Digital twins can also be programmed to interpolate between missing data points, if you're limited in how much data you can collect," he adds.
The AI tension

One of the biggest barriers of adoption is the lack of people-expertise. However, artificial intelligence (AI) has the potential to automate the labor-intensive process of building a twin by learning directly from data.

Green Technology Report 2025: Market Data & Innovation Insights

The 2025 Green Technology Report provides a comprehensive overview of the green technology industry, examining key players, firmographic data, emerging trends, and groundbreaking innovations. It also explores the challenges the industry faces and the strategies employed to overcome them. From renewable energy and sustainable agriculture to water management and waste reduction, the report covers a wide range of topics within the industry sphere.

This data driven market outlook provides suggestions for multiple stakeholders including policymakers, economic analysts, and investors.
Executive Summary: Green Technology Report 2025Industry Growth Overview: The industry experienced a growth of 8.90% last year, indicating its steady development and includes over 3100 companies.
Manpower & Employment Growth: The sector supports a workforce of 244.5K employees, with a growth of 14.5K employees in the last year.
Patents & Grants: The green technology industry includes over 2700 patents and more than 470 grants, indicating innovation and funding activities.
Global Footprint: The top five country hubs are the US, India, UK, Canada, and Italy, representing the industry’s geographical reach. Major city hubs include London, Singapore, New York City, Mumbai, and Hong Kong, indicating key urban centers driving industry activities. The U.S. green technology and sustainability market is expected to reach USD 10.1 billion in 2024 and grow to USD 60.7 billion by 2033 at a compound annual growth rate (CAGR) of 22%.
Investment Landscape: The average investment value in the industry is USD 19.8 million per round. It has attracted more than 350 investors and over 800 funding rounds, indicating financial support. Global investment in clean energy is set to reach almost double the amount going to fossil fuels in 2024, with USD 2 trillion expected to go toward clean technologies
Top Investors: Investors such as Piramal Finance, VantagePoint Capital Partners, Horizons Ventures, and more have collectively invested more than USD 165 million.
Startup Ecosystem: Five startups include BioMetallica (Sustainable Metal Recycling), Green Smart Sense (Post-harvest Monitoring), Green Power Technologies (Remote Power Solutions), Green Hydrogen Technology (Industrial Hydrogen production), and Gaia Greentech (Bioresin Manufacturer).







Methodology: How We Created This Green Technology Report

This report is based on proprietary data from our AI-powered Discovery Platform, which tracks 25 million companies and 20 000 technologies and trends globally, including detailed insights on approximately 5 million startups, scaleups, and tech companies. Leveraging this extensive database, we provide actionable insights on emerging technologies and market trends.

For this report, we focused on the evolution of green technology over the past 5 years, utilizing our platform’s trend intelligence feature. Key data points analyzed include:Total Companies working on the trend
News Coverage and Annual Growth
Market Maturity and Patents
Global Search Volume & Growth
Funding Activity and Top Countries
Subtrends within the green technology industry

Our data is refreshed regularly, enabling trend comparisons for deeper insights into their relative impact and importance.

Additionally, we reviewed external resources to supplement our findings with broader market data and predictions, ensuring a reliable and comprehensive overview of the green technology market.
What data is used to create this green technology report?

Based on the data provided by our Discovery Platform, we observe that the green technology market ranks among the top 5% in the following categories relative to all 20K+ technologies and trends we track.

These categories provide a comprehensive overview of the market’s key metrics and inform the short-term future direction of the market.News Coverage & Publications: The green technology industry had more than 56K publications in the last year.
Funding Rounds: Over 800 funding rounds of data are available in our database.
Manpower: The manpower in the green technology industry exceeds 244K workers, with over 14K new employees added in the last year.
Patents: The industry has 2700+ patents, indicating its innovation capacity.
Grants: In addition, the green technology industry has secured 470 grants, indicating strong support and investment.
Yearly Global Search Growth: The industry also sees a yearly global search growth of 9.39%. This indicates increasing interest and relevance.
Explore the Data-driven Green Technology Report for 2025

The heatmap highlights the data encompassing 1611 startups and over 3100 companies in our comprehensive database. This industry experienced a growth of 8.90% last year, indicating its steady development. The database includes over 2700 patents and more than 470 grants, indicating innovation and funding activities.

The global green technology and sustainability market size is set to grow to USD 185.21 billion by 2034, growing at a CAGR of 22.94% from 2025 to 2034.

How to Build Better Robotics with AI & Expanded Machine Capabilities

At a GlanceRobots are filling critical gaps in automation while elevating the value of human workers.
Robots are revolutionizing healthcare, agriculture, aerospace, and smart buildings.
AI in robotics enhances real-time decisions, analyzes vast datasets, and operates with unprecedented precision.


The integration of AI and robotics is changing the nature of automation, from manufacturing and aerospace to agriculture and healthcare. As labor shortages intensify, intelligent automation is stepping up to handle repetitive, mechanical tasks.

We caught up with Freddy Kuo, chairman of Luminys, chairman of SYNC ROBOTIC, and special office executive assistant at Foxlink, to get his view on the vast changes that have come to robotics.

Kuo noted that robots are doing more than just replacing jobs. The shift to AI-based automation is creating opportunities for workers to transition to higher-value positions that enhance human creativity and decision-making. From autonomous tractors in agriculture to robotic assistants in healthcare, advanced robotics has become essential to automation.

What’s one bold prediction you’d make about the future of AI?

Freddy Kuo: AI is going to spark a full-on revolution in the tech and security industries. Not just on the software side, but all the way through manufacturing and product design. We’ll see AI deeply embedded into the production process itself, helping manufacturers solve complex problems, improve quality, and accelerate innovation in ways we haven’t seen before.


It’s not just about making products smarter—it’s about using AI to rethink how those products are created in the first place. This shift will attract a new wave of investment as companies see that AI tools can drive performance and efficiency at every level. It’s going to completely reshape how we build, deploy, and think about technology.

Related:AI Gives Wit to Robotics
How might robotics reshape the intersection of security, sustainability, and smart buildings in the coming years?

Kuo: Over the next five years, robotics will play a major role. We’re already seeing more investment and deployment in areas like home security, cleaning, and even food service. Robots are now cleaning floors, taking orders, delivering meals in restaurants, and helping move goods in warehouses. What used to feel futuristic is now becoming part of everyday life.

In smart buildings, robotics can help automate repetitive tasks like cleaning, surveillance, and inventory checks, making operations smoother, more efficient, and less reliant on manual labor. When it comes to sustainability, it's really about how these tools are used. If deployed thoughtfully, robotics can absolutely support sustainability, by reducing energy consumption, minimizing waste, or even helping clean up oceans and polluted urban spaces.

As the technology matures, robots will become more intelligent, more connected, and more deeply integrated into our environments. Whether it's in homes, factories, retail stores, or entire cities, robotics will become part of a smarter ecosystem. These tools won't just serve one purpose—they’ll create safer, more sustainable, and more intelligent spaces for everyone.

Related:Friday Funny: Beware the Humanoid Robots
What developments are you seeing with robots in manufacturing? More agility? Greater interoperability?

Kuo: Robotics is improving efficiency and reducing environmental impact in a lot of meaningful ways—but whether it truly makes a difference often comes down to how it's used. When applied thoughtfully, the answer is yes, it absolutely helps.

One major area where robotics is making a difference is in solving labor shortages. I come from a background in manufacturing and security, and it’s clear that across the world, industries are struggling to find enough workers. Young people in their 20s today are less likely to want factory jobs or security guard roles. This shift in the labor force makes robotics not just helpful, but necessary.


In the manufacturing industry and beyond, robots can take over repetitive, mechanical tasks, which don’t require creativity or complex decision-making. But it’s not about replacing human jobs. It’s about freeing people to do higher-value, more fulfilling work. Instead of standing on a production line or patrolling a warehouse, those same people can shift into roles that better match their skills and interests.

India’s ECMS Attracts ₹16,000 Crore Electronics Investment

Chinese research team recently invented a bio-recyclable material for electronics manufacturing, offering a new approach to improving the circularity of electronics and contributing to a more sustainable electronics industry.




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Rapid accumulation of electronic waste is a growing global concern. The development of sustainable electronics is expected to tackle this problem. However, existing recycling approaches suffer from compromised performance of recycled materials, high energy consumption or harsh recycling conditions.

A research team led by Yu Shuhong from the University of Science and Technology of China designed and made a cellulose-based composite dielectric film, a material commonly used in electronics manufacturing, by integrating a bio-manufacturing strategy with an enzymatic degradation process.

According to the study published in Nature Sustainability, the bio-manufacturing strategy can process glucose and functional building blocks into cellulose-based functional composite materials, while the enzymatic degradation can turn cellulose back into glucose without affecting other components.

Both of these biological processes are mild – requiring neither high temperature and pressure nor toxic chemicals, realizing a closed-loop cycle from raw material to product and waste, without compromising recycled material performance.

The study also revealed that electronic devices fabricated with this new material exhibit significantly lower signal transmission loss compared to those using commercial epoxy resin substrates. This bio-manufactured cellulose-based material, notably, also achieves similar production costs while significantly reducing the environmental impact.

A report by the International Telecommunication Union said the world generated some 62 billion kilograms of electronic waste in 2022, of which only 22.3 percent was recycled in an environmentally sound manner.

What Pharma Needs to Know About Green Chemistry

The pharmaceutical industry has a crucial role in modern healthcare, but it also has a significant environmental footprint. From large-scale solvent use and carbon emissions to water pollution and chemical waste, drug development and manufacturing have a considerable impact on the environment across every stage of the value chain.

Pharmaceutical operations, including production, distribution, and disposal, contribute significantly to pollution and climate change. The carbon emissions of the pharmaceutical industry have been estimated to be up to 55% higher than those of the automotive sector.1

Pharmaceutical waste (solvents, reagents, packaging, etc.) is a cause of concern. Pollutants reach ecosystems through various pathways: excretion of unmetabolized drugs, effluent from manufacturing plants, runoff from agricultural use, and domestic wastewater. Active pharmaceutical ingredients (APIs) and their transformation products have been found in water, soil, and even food chains.2

Growing environmental concerns and tighter regulations emphasize the importance of sustainability and put pressure on industries to adopt greener, more responsible practices such as green chemistry, which is among the most promising approaches.

Image Credit: i viewfinder/Shutterstock.com
What is green chemistry?

Defined in the 1990s by Paul Anastas and John Warner, green chemistry is a framework for designing safer, more sustainable chemical processes, enabling cost savings and regulatory compliance, as well as reputational gains.3

Green chemistry is based on twelve principles. Among them are waste prevention, atom economy – which aims to maximize the incorporation of all materials used in the process into the final product – and the use of safer solvents and reaction conditions to reduce energy requirements and toxicity.

The energy efficiency principle recommends conducting reactions at ambient temperature and pressure, while the catalysis principle aims to use small quantities of catalysts instead of stoichiometric reagents, therefore reducing waste.

Another principle is design for degradation, which states that chemicals should be designed so they degrade at the end of their function and do not persist in the environment.

These principles often contrast with traditional synthetic methods that prioritize yield and speed over environmental considerations. In pharma, green chemistry means rethinking how products are synthesized, which solvents are used, and how reactions are scaled without compromising safety or quality.

Why Pharmacovigilance Is More Critical Than Ever
Why it matters in pharma today

The drive for sustainability and green chemistry is supported by several factors, ranging from regulatory compliance to cost and process efficiency. Agencies are embedding environmental risk into their frameworks. For instance, the European Medicines Agency (EMA) introduced a mandatory environmental risk assessment (ERA) for new marketing authorization applications for human use.4

The REACH regulation (registration, evaluation, authorization, and restriction of chemicals) restricts the use of hazardous chemicals to protect human health and the environment, and both the EMA and the U.S. Environmental Protection Agency (EPA) promote sustainable manufacturing.

In response, green chemistry often leads to simpler, more efficient synthetic routes. Techniques like continuous flow chemistry and biocatalysis reduce energy use, solvent waste, and purification steps, leading to lower operational costs.

Environmental, Social, and Governance (ESG) criteria are influencing investment decisions. Companies embracing sustainability are well-positioned to attract capital, meet stakeholder expectations, and enhance their market reputation.

Some pharmaceutical firms are also implementing broader green practices like sustainable sourcing, eco-friendly packaging, and extended producer responsibility (EPR).

Marinus Link undersea cable lands environmental approval

The Marinus Link project – a proposed high-voltage interconnector between Tasmania and Victoria – has been cleared by the federal government’s Environment Protection and Biodiversity Conservation (EPBC) Act, pushing the multi-billion-dollar project closer to construction.

The estimated $5 billion (USD 3.24 billion) project comprises a 1,500 MW electricity and fibre optics interconnector stretching 255 kilometres undersea from Burnie in northwest Tasmania to Waratah Bay in Victoria, then a further 90 km underground to the Latrobe Valley.

The electricity interconnector is considered a key piece of national infrastructure, designed to enable greater renewable energy flow between Tasmania and mainland Australia. The project is to be delivered in two 750 MW stages, with the EPBC approval covering both.

“This is another major step forward,” Marinus Link Chief Executive Officer said. “We are on the home stretch, and our organisation is mobilising to construct this nationally significant project in 2026.”

The EPBC approval comes after the state and federal governments last week reached a final investment decision on the initial stage of the project. That followed a positive assessment of its environmental effects under Victorian legislation while final primary approvals under Tasmanian legislation are expected in late 2025.

Federal Environment Minister Murray Watt said the EPBC approval outlines specific conditions for the project’s construction, operation and eventual decommissioning phases.

“The decision includes a comprehensive set of strict conditions designed to safeguard Australia’s iconic animals, plants, and ecosystems, both on land and in marine environments,” he said.

Construction of the first stage of the project is set to commence next year and is slated for completion in 2030.

The Marinus Link project is expected to create up to 3,300 direct and indirect jobs across Tasmania and Victoria during its development and construction phase.

“The project will support the creation of hundreds of jobs in both Victoria and Tasmania and will create future opportunities for investment opportunities for business in construction, engineering, telecommunications, and renewable energy sectors,” Watt said.

The federal government holds a 49% share of Marinus, with the Victorian government has a 33.3% stake and Tasmania 17.7%.

Transmission & Distribution Electric Capacitor Market

Transmission & Distribution Electric Capacitor Market Size and Share Forecast Outlook 2025 to 2035

The Transmission & Distribution Electric Capacitor Market is estimated to be valued at USD 12.5 billion in 2025 and is projected to reach USD 23.9 billion by 2035, registering a compound annual growth rate (CAGR) of 6.7% over the forecast period. Historical data places the industry at USD 9 billion in 2020, demonstrating consistent incremental growth. Adoption drivers include infrastructure expansion in power networks and reactive power management requirements amid grid modernization. A prominent demand spike occurs beyond 2028, supported by substation reinforcement projects and high-voltage transmission upgrades. Manufacturers are expected to align production toward long-life, low-loss capacitor units integrated with advanced insulation technologies. The operational focus will revolve around reducing system interruptions and optimizing load factors, crucial for smart grid adaptability.

The procurement landscape favors utilities prioritizing performance guarantees alongside lifecycle cost benefits. Growth prospects remain strongest in Asia-Pacific, where electrification intensity drives bulk orders. Strategic moves will include regional assembly units and service-oriented contracts, reinforcing aftermarket opportunities for component replacement cycles.

Quick Stats for Transmission & Distribution Electric Capacitor MarketTransmission & Distribution Electric Capacitor Market Value (2025): USD 12.5 billion
Transmission & Distribution Electric Capacitor Market Forecast Value (2035): USD 23.9 billion
Transmission & Distribution Electric Capacitor Market Forecast CAGR: 6.7%
Leading Segment in Transmission & Distribution Electric Capacitor Market in 2025: Film capacitors (46.3%)
Key Growth Regions in Transmission & Distribution Electric Capacitor Market: North America, Asia-Pacific, Europe
Top Key Players in Transmission & Distribution Electric Capacitor Market: ABB, Cornell Dubilier, ELNA CO., LTD., Havells India Ltd., KEMET Corporation, KYOCERA AVX Components Corporation, Murata Manufacturing Co., Ltd., Panasonic Corporation, SAMSUNG ELECTRO-MECHANICS, Schneider Electric, Siemens, TAIYO YUDEN CO., LTD., TDK Corporation, Vishay Intertechnology, Inc., WIMA GmbH & Co. KG, Xuansn Capacitor



Growth is linked to grid modernization initiatives, renewable integration, and reactive power compensation, which make capacitors essential for voltage stabilization and efficiency enhancement in high-load networks.

Film capacitors account for 46.3% of the market, primarily due to their superior dielectric properties, long service life, and reliability under fluctuating voltages. Asia-Pacific leads expansion, driven by infrastructure electrification in China and India, alongside substantial renewable energy integration targets. North America follows with grid reinforcement programs addressing aging infrastructure, while Europe focuses on energy efficiency mandates and interconnection projects for cross-border power flow.

The next phase of market evolution will prioritize eco-friendly capacitor designs utilizing low-loss polypropylene films and biodegradable materials. Additionally, the incorporation of IoT-enabled monitoring and condition-based maintenance will become standard as utilities pursue predictive asset management strategies. Strategic opportunities exist for manufacturers offering high-voltage capacitor banks optimized for hybrid grids combining centralized and distributed generation. Cost pressure remains a challenge, reinforcing the need for partnerships with utilities to deliver integrated, life-cycle-optimized capacitor solutions in transmission and distribution networks.