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Technology Companies

The technology sector builds software, hardware, platforms, and services that power the digital economy. This guide covers tech revenue models, platform economics, key financial metrics, and the major companies defining the industry.

Technology is the most valuable sector in the global economy by market capitalisation — and the one with the most diverse business models. “Technology” spans search engines, cloud platforms, enterprise software, semiconductors, consumer devices, and everything in between. The sector’s defining characteristic is scalability: a software product built once can be sold to millions of customers at near-zero marginal cost, creating extraordinary leverage between revenue growth and profit growth.

The US technology sector generates over $2 trillion in annual revenue, with the five largest companies (Apple, Microsoft, Alphabet, Amazon, Meta) alone accounting for nearly $1.5 trillion. These platforms have achieved durable competitive moats through network effects, switching costs, and data advantages that compound over time.

How Technology Companies Make Money

Platform and Marketplace Fees

The most valuable technology businesses are platforms — two-sided or multi-sided networks where the platform connects users and earns a fee or take rate. Apple’s App Store takes 15–30% of all in-app purchases. Alphabet earns over $200 billion annually by connecting search queries with advertisers. Amazon Marketplace charges sellers 8–15% commissions plus fulfilment fees.

Platform economics are exceptional because value grows with each additional user (network effects) while incremental costs of serving another user approach zero.

Software-as-a-Service (SaaS) Subscriptions

Enterprise software companies — Salesforce, ServiceNow, Adobe, Atlassian, Zoom — charge recurring subscription fees for cloud-based software. Revenue is predictable and recurring; gross margins run 70–85%; and net revenue retention above 110% (customers spend more each year) compounds growth.

Advertising Revenue

Digital advertising is the monetisation model for search (Alphabet), social (Meta), and commerce (Amazon Advertising). These businesses earn CPM/CPC-based revenue by connecting advertisers with targeted audiences at scale.

Hardware

Apple (iPhone, Mac, iPad, wearables), Dell, and Hewlett-Packard sell physical devices. Hardware margins are lower than software margins (Apple iPhone gross margin ~35–40% vs App Store ~70%+), but hardware creates the installed base from which high-margin services are monetised.

Cloud Infrastructure (IaaS/PaaS)

Amazon AWS, Microsoft Azure, and Google Cloud rent computing, storage, and database infrastructure to businesses at consumption-based pricing. Cloud infrastructure is a capital-intensive business (data centres cost billions) but one with exceptional operating leverage at scale — each incremental workload on an existing server cluster is near-pure margin.


Revenue Models Compared

ModelRevenue BasisGross Margin
SaaS subscriptionAnnual recurring revenue per seat70–85%
Platform marketplaceTake rate on GMV / transactions60–80%
Digital advertisingCPM/CPC on targeted impressions75–85%
Cloud infrastructureConsumption pricing55–70%
HardwareUnit sales30–45%
Professional servicesHourly/project billing25–40%

Key Companies in Technology

Mega-cap Platforms:

  • Alphabet — Google Search, YouTube, Google Cloud, Android, Waymo; $300B+ revenue
  • Microsoft — Azure, Microsoft 365, LinkedIn, GitHub, Xbox, Copilot AI; $245B+ revenue
  • Apple — iPhone, Mac, iPad, wearables; App Store, Apple Music, iCloud; $390B+ revenue
  • Meta — Facebook, Instagram, WhatsApp; advertising platform; Reality Labs

Enterprise Software and Cloud:

  • Salesforce — CRM, Sales Cloud, Service Cloud, Slack; leading enterprise SaaS
  • Oracle — database software; Oracle Cloud Infrastructure; ERP
  • Zoom — video communications; expanding into contact centre
  • ServiceNow — IT service management; enterprise workflow automation
  • Atlassian — Jira, Confluence, Trello; developer and team collaboration tools

Consulting and IT Services:

  • Accenture — IT consulting, systems integration, managed services; AI transformation advisory

Emerging Technology:

  • Palantir — AI-powered data analytics for government and enterprise
  • IonQ — quantum computing hardware and cloud services
  • Duolingo — language learning app; subscription and advertising

Key Metrics for Technology Companies

Annual Recurring Revenue (ARR) and Revenue Growth Rate

For SaaS companies: ARR is the annualised value of current subscription contracts. ARR growth (ideally 20%+) is the primary growth metric. Combined with gross margin (70%+) and free cash flow generation, ARR quality determines valuation.

Net Revenue Retention (NRR)

NRR measures how much existing customers spent this year vs last year. NRR above 110% means customers expand their usage faster than they churn — the business grows even with zero new customer wins. Best-in-class enterprise SaaS (Snowflake, Datadog) has NRR above 120%.

Gross Margin

The defining metric separating great technology businesses from good ones. Software gross margins (70–85%) reflect near-zero marginal costs. Hardware + services blended (Apple: 46%) is lower. Below 60% typically signals significant hardware or professional services drag.

Rule of 40

A quick-screening metric for SaaS health: revenue growth rate + free cash flow margin should exceed 40. A company growing at 30% with 15% FCF margin scores 45 — healthy. A company growing at 10% with 10% FCF margin scores 20 — problematic.

Free Cash Flow per Share Growth

The ultimate technology value driver. Apple has compounded FCF per share at 15%+ annually for a decade through revenue growth, margin expansion, and aggressive buybacks reducing share count. Microsoft, Alphabet, and Meta have similar track records.


The AI Platform Shift

Artificial intelligence — specifically large language models (LLMs) and generative AI — is the most significant platform transition in technology since the smartphone. The companies best positioned are those with:

  1. Compute advantage: Nvidia GPU supply, or proprietary AI accelerators (Google TPUs, Amazon Trainium, Microsoft Maia)
  2. Data advantage: Proprietary training datasets that cannot be replicated (Google Search queries, Microsoft Office documents, Meta social graph)
  3. Distribution advantage: Existing customer relationships to embed AI into existing workflows (Microsoft Copilot in Office 365, Salesforce Einstein in CRM)

Key Comparisons

Companies Covered 40