See all

From connected plants to intelligent industry: India’s next digital transformation

The real opportunity lies in combining India’s engineering depth with its growing digital capabilities. The factories and energy systems of the future will not necessarily be those with the largest number of sensors, the most sophisticated dashboards or the greatest volume of data. They will be the ones that can sense earlier, understand faster and act with greater precision.
Bijal Sanghvi, Managing Director, Axis Solutions Pvt Ltd | Image: Axis Solutions Pvt Ltd

India is entering a defining decade for industrial transformation. Over the last decade, the country has invested significantly in digital infrastructure, manufacturing capacity, energy transition and technology led development. According to the Ministry of Electronics and Information Technology, India’s digital economy contributed 11.74% of national income in 2022–23, equivalent to approximately INR 31.64 lakh crore, and is projected to approach one fifth of national income by 2030.

The significance of this transformation extends beyond technology. Digital infrastructure is increasingly becoming part of the foundation on which manufacturing, energy, logistics and industrial services operate. The question is no longer whether digitalisation will happen. It is whether we can convert this digital foundation into measurable improvements in productivity, efficiency, sustainability and resilience.

This transformation is also extending into the energy ecosystem, where solar power, energy storage, green hydrogen, EV charging and renewable infrastructure are creating new connected assets that require intelligent monitoring, control and optimisation.

The Next Problem Is Not Data. It Is Intelligence.

Industrial facilities generate enormous quantities of information through PLCs, SCADA systems, sensors, analytical instruments, energy meters and other field devices. Yet data alone does not create better decisions.

A plant may know its temperature, pressure, flow, energy consumption and equipment status and still struggle to understand what those signals collectively mean. The real value of digitalisation begins when data is connected with operational context, historical behaviour and business outcomes.

This is the transition Indian industry must now make: from collecting more data to understanding the right data and acting on it.

Government Policy Is Moving Industry in the Same Direction

India’s policy environment is increasingly aligned with this transition. Through SAMARTH Udyog Bharat 4.0, the Ministry of Heavy Industries has established Industry 4.0 centres at C4i4 Lab Pune, IIT Delhi, IISc Bengaluru and CMTI Bengaluru to support technologies such as IoT, data analytics, automation and smart manufacturing. More than 50 Industry 4.0 use cases have also been compiled through the programme, according to the Press Information Bureau.

India’s manufacturing ambition is expanding rapidly as well. Under the Production Linked Incentive programme covering 14 sectors, the Government reported cumulative investments of more than INR 2.16 lakh crore, production and sales exceeding INR 20.41 lakh crore, exports of more than INR 8.3 lakh crore and employment of over 14.39 lakh people as of December 2025. As capacity expands, so will the complexity of managing assets, processes, quality and energy.

From Dashboards to Decisions

The first phase of industrial digitalisation was largely about visibility. Dashboards, remote monitoring and centralised platforms helped organisations understand what was happening across their facilities.

The next phase must go further.

Digital systems should increasingly help answer why something is happening, what is likely to happen next and what action should be taken. Predictive maintenance, anomaly detection, process optimisation and intelligent asset management will become increasingly important.

Artificial intelligence can accelerate this transition. India’s IndiaAI Mission, approved with an outlay of INR 10,371.92 crore, is building capabilities across compute infrastructure, datasets, AI applications, skills and safe and trusted AI. By early 2026, the Government reported that the available AI compute ecosystem had reached around 38,000 GPUs. The industrial opportunity is not to deploy AI simply because it is available, but to apply it to measurable challenges such as reliability, process performance, quality, energy efficiency and operational risk.

Energy Efficiency Is Becoming an Intelligence Challenge

Energy will be one of the most important areas where digital intelligence can create measurable value. According to the Bureau of Energy Efficiency, India’s energy efficiency programmes generated 53.60 million tonnes of oil equivalent of total energy savings in FY2023–24. Industry accounted for 27.08 Mtoe, with estimated monetary savings of INR 58,444 crore and annual emissions reduction of around 115 million tonnes of CO₂.

The next opportunity is to move from periodic measurement towards continuous energy intelligence. When energy data is connected with production and process information, efficiency becomes something that can be actively managed rather than simply reported.

This becomes even more important as industries integrate renewable generation, storage and electrification. Energy management is no longer limited to what a plant consumes. It increasingly involves understanding how energy is generated, stored, distributed and consumed across a connected ecosystem.

Sustainability Will Depend on Better Industrial Data

India’s energy transition is expanding across solar power plants, BESS, Green Hydrogen, EV charging and renewable energy infrastructure.

According to the Ministry of New and Renewable Energy, India had approximately 168 GW of installed solar power capacity as of August 2026. Solar is therefore becoming an increasingly important part of the country’s energy infrastructure.

As renewable generation grows, managing variability and utilisation becomes increasingly important. The Central Electricity Authority has estimated a requirement of 41.6 GW / 208 GWh of BESS capacity by FY2029–30, highlighting the growing role of storage in renewable integration.

Electric mobility is creating another connected energy layer. EV charging infrastructure will require intelligent management of energy consumption, charging performance, load requirements and asset availability. Under the PM E-DRIVE scheme, the Government has allocated INR 2,000 crore for deployment of public EV charging infrastructure across India.

The same principle extends to Green Hydrogen, where production depends on the coordinated operation of renewable power, electrolysers, water systems, gas handling and storage. India’s National Green Hydrogen Mission, with an outlay of INR 19,744 crore, targets at least 5 million tonnes per annum of green hydrogen production by 2030, associated renewable energy capacity addition of around 125 GW, more than INR 8 lakh crore of investment and over 6 lakh jobs.

As these technologies move from individual projects to interconnected energy ecosystems, measurement, automation, monitoring and digital intelligence become critical to reliability and efficiency. Energy generation, storage, consumption, emissions and asset performance will increasingly need to be viewed together.

The renewable energy transition will therefore not simply be about adding generation capacity. It will be about building connected, intelligent and resilient energy infrastructure capable of generating, storing, distributing and using energy more efficiently.

Connected Systems Will Define the Intelligent Plant

Another major opportunity lies in interoperability. Many industrial facilities contain equipment, control systems and software from different generations and manufacturers. Each may perform its intended function effectively, but greater value emerges when information can move securely across these layers.

Field devices, PLCs, SCADA systems, edge platforms, cloud applications and enterprise systems must increasingly function as part of a connected ecosystem. Better connectivity enables information to move across engineering, operations, maintenance, energy and management teams.

The same principle applies to renewable infrastructure. Solar plants, BESS installations, hydrogen systems and EV charging networks will generate information across multiple locations and operating layers. Connecting these systems can provide a broader view of energy performance, asset health, availability and utilisation.

This is also visible at national infrastructure scale through PM GatiShakti. By August 2025, 57 Central Ministries and Departments had been onboarded and 293 infrastructure projects worth INR 13.59 lakh crore had been evaluated through the integrated planning mechanism. The broader lesson is relevant to industry as well: isolated optimisation has limits, while connected decision making creates greater value.

Digital Transformation Must Finally Deliver Business Value

There is one principle that should remain at the centre of every industrial digitalisation programme: technology must solve a business problem.

The right questions are not how many sensors have been installed or how many dashboards have been created. The questions are whether unplanned downtime has reduced, asset utilisation has improved, energy intensity has fallen, quality has become more consistent, environmental deviations are identified earlier and people can make better decisions.

The same principle applies to the energy transition. The value of a solar plant is not simply its installed capacity. The value of BESS is not simply its storage capacity. The value of an EV charging network is not simply the number of chargers installed. The value of a Green Hydrogen facility is not simply its production potential.

The real value comes from how reliably, efficiently and intelligently these assets operate.

This is why the next phase of industrial transformation must move from technology led projects to outcome led transformation. Digital initiatives should begin with a clearly defined operational challenge and end with a measurable business outcome.

India’s Competitive Advantage Will Be Industrial Intelligence

India has many of the ingredients required for this transition: a rapidly expanding digital economy, a large engineering and technology workforce, growing manufacturing capacity, government backed Industry 4.0 programmes, expanding AI infrastructure, significant investments in energy transition and an increasingly sophisticated industrial ecosystem.

But infrastructure alone will not create competitive advantage.

The real opportunity lies in combining India’s engineering depth with its growing digital capabilities. The factories and energy systems of the future will not necessarily be those with the largest number of sensors, the most sophisticated dashboards or the greatest volume of data. They will be the ones that can sense earlier, understand faster and act with greater precision.

India has spent the last decade building digital capabilities. The next decade must be about converting those capabilities into industrial intelligence. That is where productivity, sustainability, resilience and global competitiveness will increasingly converge.

Ultimately, the most valuable industrial data will not be the data we collect. It will be the data that helps us make a better decision.

The views and opinions expressed in this article are the author’s own, and do not necessarily reflect those held by pv magazine.

This content is protected by copyright and may not be reused. If you want to cooperate with us and would like to reuse some of our content, please contact: [email protected].

Comments