Introduction
The TMT universe is often discussed as a single sector, but that framing masks enormous internal diversity. The global TMT market is valued at approximately $6.8 trillion in 2025, split roughly 45% technology, 32% media, and 23% telecommunications. Within technology alone, a SaaS company with 80% gross margins and negative working capital has almost nothing in common financially with a semiconductor manufacturer running $20 billion capex cycles. Understanding this sub-sector taxonomy is foundational for TMT interviews because interviewers expect you to know which business models, metrics, and valuation approaches apply where, and to explain why.
This article maps the full TMT universe, explains what makes each sub-sector analytically distinct, and introduces the key metrics and deal dynamics you will encounter in each. The rest of the guide dives deeper into every sub-sector covered here.
Technology: Four Distinct Business Models
Technology accounts for 84% of TMT deal volumes and 76% of deal values, but it is not a single business. TMT bankers break technology into four sub-sectors, each with fundamentally different financial profiles.
Software and SaaS
The SaaS model generates recurring subscription revenue with gross margins of 70-85%, creating the most predictable and highest-quality revenue streams in all of TMT. The global SaaS market reached approximately $400-430 billion in 2025. Key metrics include ARR (annual recurring revenue), NRR (net revenue retention), CAC payback period, and the Rule of 40. Valuation is driven by revenue multiples (EV/Revenue or EV/ARR), not EBITDA, because high-growth SaaS companies deliberately reinvest profits into customer acquisition and product development.
- Net Revenue Retention (NRR)
The percentage of recurring revenue retained from existing customers over a trailing 12-month period, including expansion, contraction, and churn. An NRR above 120% means the company grows its existing customer base faster than it loses revenue to cancellations and downgrades, a powerful compounding engine that drives premium valuations.
Software is the most active M&A sub-sector in TMT. PE take-privates dominate the mid-market (Thoma Bravo, Vista Equity, Silver Lake, Hg Capital), while strategic consolidation drives larger deals as platform companies acquire adjacent capabilities. The Software and SaaS section of this guide covers the full analytical framework.
Internet and Digital Platforms
Internet companies (Google, Meta, Amazon, Uber, Airbnb, Spotify) operate on platform business models driven by network effects. The core metrics are user-based: DAU/MAU measures engagement, ARPU measures monetization per user, and take rates measure marketplace economics. Revenue models vary: ad-supported (Google, Meta), marketplace commission (Amazon third-party, Uber, Airbnb), subscription (Spotify, Netflix), and freemium conversion (LinkedIn, Dropbox).
What distinguishes internet platforms from software is the monetization mechanism. SaaS companies sign contracts with known customers at known prices. Internet platforms monetize attention, transactions, or user behavior at scale, creating different unit economics and valuation dynamics. The Internet and Digital Platforms section explores these distinctions.
Semiconductors and Hardware
The semiconductor market reached approximately $600 billion in 2025 and is projected to approach $975 billion by 2026, driven by an AI infrastructure boom of historic proportions. This sub-sector is the most cyclical in TMT: chip demand follows pronounced boom-bust patterns driven by inventory dynamics, end-market demand, and capital expenditure cycles. NVIDIA's data center GPU revenue alone grew from $15 billion in FY2024 to over $115 billion in FY2026.
The semiconductor value chain includes fabless designers (NVIDIA, AMD, Qualcomm), foundries (TSMC, Samsung), integrated device manufacturers (Intel), EDA tool providers (Synopsys, Cadence), and equipment makers (ASML, Applied Materials). Hardware OEMs (Dell, HPE, Cisco) and data center infrastructure companies round out the sub-sector. Valuation requires cyclical normalization because a single year's earnings can be wildly unrepresentative of through-cycle value.
IT Services and Tech-Enabled Services
IT services companies (Accenture, Infosys, TCS, Capgemini, Wipro) operate on labor-based models where revenue equals billable headcount times utilization rate times bill rate. Gross margins of 30-40% are typical, far below software but with lower capital intensity and more predictable cash flows than hardware. The shift from project-based to managed services contracts is improving revenue visibility and valuation multiples across the sub-sector.
IT services is a PE consolidation favorite because of extreme market fragmentation. Thousands of firms with $5-50 million in revenue create textbook roll-up opportunities. The IT Services section covers the business model, offshore leverage dynamics, and PE playbook in detail.
Media and Entertainment: Content Economics at Scale
The global entertainment and media market is valued at approximately $3.5 trillion and spans streaming, gaming, music, advertising, sports, and traditional broadcast/publishing. What unites these sub-sectors is content economics: the creation, acquisition, and monetization of content assets.
Streaming has reshaped the media landscape. Netflix, Disney+, Amazon Prime Video, and HBO Max compete on content investment (Netflix spent over $17 billion in 2024), subscriber growth, and increasingly, advertising revenue from ad-supported tiers. Gaming exceeds $180 billion in global revenue, with live-service models and microtransactions replacing one-time game sales. Music has become a catalog asset class, with song rights trading at 15-30x net publisher share. Digital advertising flows through a complex ecosystem of agencies, ad tech platforms, and publishers.
Media valuation uses EV/EBITDA, EV/subscriber, and content library approaches depending on the specific business model. The Media and Entertainment section covers each sub-vertical and its unique economics.
Telecommunications: Infrastructure and Subscriber Economics
The global telecommunications industry generates approximately $1.55 trillion in annual revenue, growing at roughly 2-3% annually, well below the technology sector's growth rate. Telecom is the most capital-intensive sub-sector in TMT, with carriers spending 15-20% of revenue on network infrastructure.
The telecom sub-sector breaks into several distinct business types. Wireless carriers (T-Mobile, AT&T, Verizon in the US; Vodafone, Deutsche Telekom, Orange in Europe) generate revenue from mobile subscriptions and increasingly from fixed wireless broadband. Tower companies (American Tower, Crown Castle, Cellnex) lease antenna space under long-term contracts and trade as infrastructure REITs. Cable and broadband operators (Comcast, Charter) are transitioning from video to broadband-first business models. Fiber companies build and operate fiber-optic networks for residential and enterprise customers.
| Sub-Sector | Revenue Model | Key Metrics | Valuation Approach | Capital Intensity |
|---|---|---|---|---|
| Wireless carriers | Subscriber plans, device sales | ARPU, churn, SAC | EV/EBITDA, EV/subscriber | Very high (15-20% of revenue) |
| Tower companies | Lease payments, escalators | Tenant count, co-location rate | EV/EBITDA, AFFO yield | Moderate (tower builds) |
| Cable/broadband | Subscriber bundles, broadband | Broadband ARPU, penetration | EV/EBITDA | High (network upgrades) |
| Fiber | Enterprise/residential contracts | Fiber miles passed, take rate | EV/EBITDA, EV/home passed | Very high (buildout) |
Telecom M&A is driven by consolidation (the Vodafone-Three UK merger at approximately $19 billion), infrastructure transactions (tower and fiber deals), and the capital requirements of 5G and fiber deployment. Valuation centers on EV/EBITDA and EV/subscriber with heavy emphasis on capital structure and free cash flow generation. The Telecommunications section provides the full analytical framework.
How Interviewers Use the Sub-Sector Map
Understanding this taxonomy matters because TMT interviewers test your ability to navigate across it. A common interview question format is: "How would you value [Company X]?" The answer depends entirely on where the company sits on the sub-sector map. Valuing Salesforce (SaaS) requires revenue multiples benchmarked against growth and retention. Valuing TSMC (semiconductor foundry) requires cyclically-normalized EBITDA. Valuing American Tower (telecom infrastructure) requires AFFO-based analysis. Getting the framework wrong is worse than getting a number wrong, because it signals you do not understand the business model.


