The companies building India’s AI backbone that nobody talks about

AI Infrastructure companies in India
India's AI infrastructure value chain — mapping the power, cooling, networking, construction, semiconductor and data centre companies building the backbone of the country's AI boom.

Ask most people what the AI boom looks like and they will point to GPUs, chatbots, and the billion-dollar bets tech giants keep making. Fair enough. But there’s a whole industrial layer sitting underneath all of it that almost never makes the news. This includes power equipment, cooling systems, optical fibre, cables, transformers, industrial gases. Dozens of companies quietly keep this machinery running, and without them the AI story simply doesn’t happen.

As hyperscale data centres, AI clusters and semiconductor plants spread across India, the companies that keep these facilities operational are becoming harder to ignore. They would not call themselves AI companies. They are becoming essential to the AI economy anyway.

Power-related

Start with power, because nothing works without it. AI workloads are power-hungry in a way conventional computing never was, so a dependable grid matters enormously. Siemens India, ABB India, Schneider Electric, Hitachi Energy India, GE Vernova T&D India, CG Power and Industrial Solutions, Bharat Heavy Electricals and Voltamp Transformers are the names supplying transformers, switchgear, substations and grid automation tech that keep data centres from going dark.

Cable & conductor maker

Behind them sit the cable and conductor makers. Some of the companies are Polycab India, KEI Industries, Finolex Cables, Apar Industries, RR Kabel, Havells India and Universal Cables. As facilities scale up and pull more power, these companies are finding fresh demand for high-performance transmission and specialised electrical gear.

Cooling

Cooling might be the least glamorous part of this whole chain, but it is arguably one of the most critical. AI racks throw off far more heat than standard enterprise servers ever did, which means the old air-conditioning playbook does not cut it anymore. Blue Star, Voltas, Johnson Controls Hitachi Air Conditioning India, Kirloskar Chillers, Daikin India, Carrier India and Trane Technologies are all building precision cooling, liquid-cooling-ready systems and energy-efficient thermal setups for this new generation of data centres. Industrial cooling specialists and HVAC engineering firms stand to gain too, as more operators move toward liquid and immersion cooling for their next wave of AI clusters.

Telecom and optical fibre

Then there’s networking. Moving the sheer volume of data AI models require, at the speeds they require it, depends on strong optical fibre and telecom infrastructure. Sterlite Technologies, HFCL, Tejas Networks, Polycab India, Apar Industries and Vindhya Telelinks are the ones laying the high-capacity fibre that links hyperscale campuses, cloud regions and enterprise AI setups together.

Engineering firms

Building these facilities in the first place is its own opportunity for engineering firms. Larsen & Toubro, KEC International, Kalpataru Projects International, Techno Electric & Engineering, Skipper, Shilchar Technologies, Transformers and Rectifiers India and Elecon Engineering are involved in the EPC work, transmission systems and specialised industrial equipment that large digital infrastructure projects need.

Power backup firms

Backup power is non-negotiable too. Diesel generators still fill that gap until cleaner options catch up commercially, and Cummins India, Kirloskar Oil Engines, Ashok Leyland, Greaves Cotton and Mahindra Powerol continue supplying standby systems. Battery energy storage is opening up its own set of opportunities for companies working in that space as well.

The Companies Building India’s AI Backbone

India’s AI Infrastructure Value Chain

AI Infrastructure Ecosystem
Infrastructure LayerPurposeKey Companies
Electricity GenerationPowers AI data centresNTPC, Tata Power, Adani Power, JSW Energy, Torrent Power, NHPC
Power TransmissionMoves electricity to AI campusesPower Grid, Adani Energy Solutions, KEC International, Kalpataru Projects
Transformers & SwitchgearReliable power supplyABB India, Siemens India, Hitachi Energy India, GE Vernova T&D India, CG Power, Voltamp Transformers
Electrical CablesConnects AI infrastructurePolycab India, KEI Industries, RR Kabel, Finolex Cables, Apar Industries, Havells India
Cooling & HVACKeeps GPU clusters coolBlue Star, Voltas, Daikin India, Carrier India, Johnson Controls Hitachi, Kirloskar Chillers
Backup PowerEnsures uninterrupted operationsCummins India, Kirloskar Oil Engines, Greaves Cotton, Mahindra Powerol
Optical FibreHigh speed connectivitySterlite Technologies, HFCL, Tejas Networks, Vindhya Telelinks
NetworkingData movementCisco, Juniper Networks, Nokia, Arista Networks, HPE
Servers & HPCAI computing hardwareNetweb Technologies, Dell Technologies, Lenovo, Supermicro, HPE
Electronics ManufacturingManufactures AI hardwareDixon Technologies, Kaynes Technology, Syrma SGS, Avalon Technologies, Cyient DLM, PG Electroplast
Semiconductor DesignChip engineeringTata Elxsi, MosChip Technologies, Sasken Technologies, Cyient, HCLTech
Industrial GasesSemiconductor productionLinde India, INOX Air Products, Air Liquide India
Engineering & EPCBuilds AI campusesLarsen & Toubro, Techno Electric, Skipper, Kalpataru Projects, KEC International
Data CentresHosts AI workloadsYotta, CtrlS, STT GDC India, Nxtra, Sify, NTT Data, AdaniConneX, Equinix India
CybersecurityProtects AI infrastructureQuick Heal, TAC Security, Sequretek, Palo Alto Networks, Fortinet, CrowdStrike
India’s AI Infrastructure by Numbers

⚡ Power

  • AI data centres consume 3–10× more electricity than conventional facilities.
  • Large AI campuses require 100–500 MW of power.
  • Future AI campuses may exceed 1 GW.

❄ Cooling

  • Cooling accounts for 30–40% of a data centre’s electricity use.
  • Liquid cooling can reduce energy consumption by up to 30%.
  • AI racks exceed 100 kW per rack.

🌐 Connectivity

  • AI clusters operate on 400G and 800G networks.
  • Every hyperscale campus requires hundreds of kilometres of fibre.

🏢 Data Centres

  • India has crossed 1 GW of installed capacity.
  • AI is expected to become the biggest driver of future expansion.

💻 Semiconductor

  • Modern fabs cost $10–20 billion.
  • Chip manufacturing needs ultra pure gases and water.

📈 AI Investment

  • Global AI infrastructure market expected to exceed $400 billion by 2030.
  • Semiconductor industry projected to surpass $1 trillion by 2030.
How India’s AI Stack Comes Together
Electricity
Transmission
Transformers
Cooling
Networking
Servers
GPUs
Data Centres
Artificial Intelligence

Industrial gases

Industrial gases are an easy segment to overlook, but semiconductor fabrication and advanced electronics manufacturing can’t happen without ultra-high-purity gases and chemicals. Linde India, INOX Air Products and Air Liquide India supply the oxygen, nitrogen, argon and speciality gases that go into chip manufacturing, and as India pushes further into semiconductors, demand for these suppliers should only grow.

EMS: Electronics Manufacturing Services

India’s electronics manufacturing services sector is getting a lift from all this too. Dixon Technologies, Kaynes Technology India, Syrma SGS Technology, Avalon Technologies, Cyient DLM, PG Electroplast, Optiemus Infracom and Netweb Technologies India are building out domestic capability in assembly, servers, embedded systems and specialised computing hardware.

Netweb Technologies India in particular has become one of the more visible winners here, supplying high-performance computing systems built for AI and research workloads. VVDN Technologies and Sahasra Group are expanding their footprint across electronics and computing infrastructure as well.

Chip Design & Semiconductor players

Chip design and engineering firms round out another layer of this ecosystem. MosChip Technologies, Sasken Technologies, Tata Elxsi, KPIT Technologies, Cyient, eInfochips, Quest Global and HCLTech contribute through chip design, embedded software and product development work for global semiconductor players.

None of this stops at manufacturing, either. Data centre operators like Yotta Data Services, CtrlS Datacenters, Nxtra by Airtel, Sify Technologies, STT GDC India, NTT Data, AdaniConneX, Digital Connexion and Equinix India are pouring billions of rupees into capacity built for AI workloads specifically. Every facility they stand up creates fresh demand across electrical equipment, cooling, networking, engineering, construction and cybersecurity.

Cybersecurity

And cybersecurity is very much part of the picture now. Quick Heal Technologies, TAC Security, Sequretek, Securonix, Palo Alto Networks, Fortinet, CrowdStrike and Cisco are all becoming more central as AI infrastructure grows and the threats targeting it get more sophisticated.

Comments

No comments yet. Why don’t you start the discussion?

    Leave a Reply

    Your email address will not be published. Required fields are marked *