IT & Banking Technology

Upgrading

The canonical Indian trajectory: PROCESS upgrading (CMMI/automation/GenAI-assisted delivery raising productivity), PRODUCT upgrading (moving from staff-aug to managed services to outcome-based and to owned products/SaaS - the services->platforms->products climb), FUNCTIONAL upgrading (adding design, consulting, data/AI, security and end-to-end ownership; GCCs evolving from cost centres to 'global capability' centres owning product charters, and 'GCC-as-a-service'/BoT models), and CHAIN upgrading (services skills spun into fintech, deeptech and SaaS ventures). The strategic risk is GenAI compressing the arbitrage mid of the smile curve (400k-500k legacy roles flagged for restructuring by 2028), forcing the climb to both ends faster.

Governance

Sub-sector-specific. HIERARCHY/CAPTIVE in GCCs (parent owns the centre outright and dictates work, IP and standards to its India arm - the defining governance of India's largest tech block, ~2.36 mn people) and in core-banking implementations (lead vendor governs a captive supplier-style relationship with the client bank to spec). RELATIONAL in high-end IT services/consulting and ER&D (deep, co-developed, trust-and-reputation-locked client ties; switching is costly). MODULAR where services are delivered to codified specs/SLAs from interchangeable vendors (commodity ADM, staff-aug, testing) and where SaaS/APIs are consumed against standard interfaces. MARKET at the talent/contract-staffing and freelancer edge and for off-the-shelf software. Product-SaaS firms sit largely OUTSIDE buyer-driven chains - they are lead firms governing their own product and PLG distribution.

Geographic scope

A producer/talent-driven offshore-services GVC: India is the world's largest delivery and captive-GCC location, serving US (50%) and European (31%) lead markets across 30-150 countries. Delivery concentrates in Bengaluru, Hyderabad, Pune, Chennai, NCR and Mumbai, fanning into Tier-2 (Coimbatore, Indore, Vizag, Jaipur). Product-SaaS and fintech also build global GTM from these hubs; UPI now exports to 7+ countries via NPCI International.

Demand conditions

A vast, demanding domestic market accelerates innovation: 900 mn+ internet users, the UPI/Aadhaar/India-stack public digital infrastructure (a uniquely demanding real-time, high-volume, low-cost requirement), a young population and a digitising BFSI/government created home demand that hardened products (PhonePe, Zerodha, Zoho) for global scale. Export demand (US/EU enterprises, global banks' GCCs) remains the larger revenue driver.

Factor conditions

India's decisive advantage: the world's largest pool of STEM/English-speaking tech talent (~5.8 mn employed, 1.5 mn+ engineers graduating yearly, IITs/NITs/NCO-2015 + SSC-NASSCOM qualification packs), a multi-decade cost advantage, and now built infrastructure (1.7 GW+ data-centre capacity, hyperscale cloud regions, ubiquitous mobile/UPI rails). Advanced factors (deep AI/cyber/quant talent) are scarcer and now the binding constraint (90% GenAI-readiness gap, 8.2 lakh cyber shortfall).

Related supporting

A dense ecosystem: hyperscalers and global platforms with India R&D, a venture/PE capital base, NASSCOM and sector skill councils, GIFT City and STPI/SEZ regimes, a strong telecom backbone, system integrators feeding fintech founders, and the GCC cluster cross-pollinating talent. Banking regulators (RBI/SEBI) and NPCI's open rails act as a supporting innovation platform.

Firm strategy structure rivalry

Firm strategy evolved from body-shopping to global-delivery pyramids to managed services, products and now GCC-led capability; structures range from huge CMMI pyramids to lean PLG SaaS and founder-led fintechs. Intense rivalry on talent, price and AI - plus a maturing IPO/exit market - drives continuous upgrading. The state's strategy (Digital India, India stack, PLI, GCC policy, data localisation) actively shapes structure and rivalry.

Highly bifurcated. IT services exports are concentrated at the top: the Big-4 (TCS, Infosys, Wipro, HCLTech) plus Tech Mahindra and the India arms of Accenture/Cognizant/Capgemini account for the bulk of export revenue and the largest payrolls (TCS ~6.1 lakh, Accenture India ~3 lakh). UPI is a near-duopoly at the app layer - PhonePe ~45% and Google Pay ~35% of volume (~80% combined), Paytm ~8% - capped by NPCI's 30% rule; NPCI itself is a 100%-share systemic rail. Depositories (CDSL/NSDL) and MF RTAs (CAMS ~68%/KFin) are duopolies; core banking is a Finacle/BaNCS/FLEXCUBE/Temenos oligopoly. Below this, fintech and SaaS are highly FRAGMENTED (2,500+ fintechs, ~8,100 SaaS startups, 350+ lending fintechs) - a classic 'few giants + long tail' (low CR4 in products/fintech, very high CR4 in rails/exchanges).

Tiers = strategic groups on TWO dimensions: (axis 1) SCALE & systemic position - revenue + India headcount + category/systemic role; (axis 2) FIRM TYPE - services/ER&D-major | captive GCC | product-SaaS | fintech | core-banking-&-payments vendor | market-infrastructure. The scale axis yields four clusters (national champions & systemic platforms; established majors & category leaders; growth & specialists; early-stage boutiques); the type axis explains why two firms at the same scale (a US$2bn fintech vs a US$2bn services firm) inhabit different competitive worlds, mobility paths and job architectures. Mapping firms on scale x type makes the groups, entry barriers and within-group rivalry legible.

Porter's value chain maps cleanly onto software delivery but the high-value primary activity is INVERTED versus manufacturing: value concentrates not in physical Operations but in Technology Development (S3 design, S4 engineering, S5 data/AI) and in the Service/Marketing activities that monetise it. Inbound 'logistics' is compute/rails (S1-S2); Operations is the build-test-deploy spine (S4/S7/S9); Outbound 'logistics' is release/deployment (S9); Marketing & Sales is S10; Service is S11. Support activities are heavy and differentiated: Firm Infrastructure + HRM split into the IT-unique Talent/RMG engine (S12) and Internal IT/DevEx/Corporate (S13); Procurement is hardware/cloud/vendor buying. On Stan Shih's smile curve India historically sat in the low-margin mid (labour-arbitrage services, S6) and is upgrading toward both ends - product/IP and design (S3-S4 SaaS, top of smile) and high-end consulting/CX-ownership (right of smile) - while GCCs internalise the whole curve in-house.

SCOR adapts to software as PLAN (S3 product/roadmap planning; S12 capacity/RMG planning; portfolio governance in S13), SOURCE (S1 sourcing compute/DC/GPU capacity and IT hardware; S2 sourcing rails/scheme connectivity; S12 sourcing talent and S13 vendor/cloud procurement - the industry's 'raw materials' are talent + compute + licences), MAKE (S4 software & platform engineering, S5 data/AI/model build, S6 SI/implementation 'assembly' of packages, S7 quality/test as in-line QC), DELIVER (S9 CI/CD release, cloud ops and 24x7 production support that put the 'product' in front of users; S10 sells/distributes it), RETURN/SUPPORT (S11 customer success, support and BFSI process operations - tickets, disputes, reprocessing - the reverse-flow analogue), and ENABLE (S8 security/risk/GRC and S13 corporate functions that govern and improve the whole chain). The 'supply chain' is information, not material: code, transactions, data and SLAs flow instead of goods.