2026
MMC industry database
Australia's modern methods of construction (MMC) sector covers the firms that design and manufacture prefabricated, volumetric, panelised and component-based building systems. It is scattered across dozens of independent membership bodies, trade associations and supplier directories. No single, machine-readable map of the industry existed. Originally assembled to support a state-government housing initiative, this project set out to build one: a consolidated, enriched and validated national database of the companies that make up the domestic MMC supply chain.
The result is a structured dataset of over 1,700 unique companies across 23 fields, produced end-to-end by an automated pipeline that Andrew Ngo designed and built over four days in April 2026.
What each record holds
Each company is described across 23 fields, grouped into six categories:
- Identity and registration: business name, ABN, and registration notes.
- Contact: phone, email, website, and LinkedIn page.
- Location: postcode, state, and geocoded latitude and longitude.
- Firmographics: founding year, revenue, company size, and LinkedIn employee count.
- Offering and classification: MMC category (volumetric, panelised, component manufacturer, supply-chain provider, or other), market segments, products produced, services offered, sectors served, a unique-selling-point summary, and industry certifications.
- Provenance: the source directory each record was drawn from.
Data quality and validation
Because the dataset was intended to inform policy and commercial decisions, correctness was treated as a first-class requirement. A four-pass validation routine ran over the assembled database:
- Column-shift detection identified and blanked malformed values introduced during source import.
- Postcode-to-state reconciliation corrected 340 records whose stored state disagreed with their postcode, trusting the postcode's known geographic range.
- Email-format validation removed malformed addresses and recovered valid addresses from comma-separated fields.
- An empty-row report flagged a small set of records for manual review.
A seeded random sample of twenty records was then checked field-by-field against source websites. Six contained errors, all of which were corrected against verified ground truth. On that basis the residual defect rate is estimated at well under 0.3%.
The resulting dataset
The completed database spans over 1,700 companies across 23 fields and every Australian state and territory:
| State | Companies |
|---|---|
| NSW | 498 |
| QLD | 418 |
| VIC | 402 |
| WA | 189 |
| SA | 136 |
| TAS | 51 |
| ACT | 37 |
| NT | 24 |
By industry category:
| Category | Companies | Share |
|---|---|---|
| Other | 785 | 44.7% |
| Panelised | 323 | 18.4% |
| Volumetric | 322 | 18.3% |
| Component manufacturer | 257 | 14.6% |
| Supply-chain provider | 71 | 4.0% |
The firmographic fields also describe the shape of the industry itself: a sector dominated by small businesses, with a median of roughly eight employees and about $5M in revenue per firm, the majority sitting in the $5-20M band. It is long-established rather than emerging; nearly half of all firms were founded before 2000, and only 6.4% since 2020.
Analytical applications
As a single structured view of an otherwise fragmented industry, the database supports a range of analyses:
- Supply-chain and market mapping. Quantifying the size, composition and geographic distribution of the national MMC industry: its original purpose, supporting housing and industry policy with evidence rather than estimate.
- Market structure and sizing. The firmographic profile shows an industry dominated by small businesses, a finding with direct implications for how any product or service sold into the sector should be priced and delivered.
- Segmentation and competitive mapping. Companies can be filtered by category, sub-sector, size and geography to isolate peer sets within a segment (for example, the roughly 357 firms working in steel-frame and light-gauge-steel systems) and to position any single firm against its direct competitors.
- Target identification. A defined ideal-customer profile can be expressed as a filter across size, category, region and contactability to produce an addressable shortlist. The dataset also isolates the cohort most likely to adopt new tools and processes: the 48 firms founded since 2015 that have already reached meaningful headcount.
- Relationship-based outreach. The dataset consolidates phone, email and LinkedIn contact points for each firm, enabling targeted, warm outreach rather than untargeted cold contact.
Taken together, the project demonstrates an end-to-end capability: turning a fragmented, manually maintained industry into a clean, enriched and analytically useful dataset, and then reading that dataset for the decisions it can support.
Contact me at andrew@andrewngo.dev if you would like a database like this built for your own industry or supply chain.