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 and enriched 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.

The resulting dataset

The completed database spans over 1,700 companies across 23 fields and every Australian state and territory, covering the full set of MMC categories: volumetric, panelised, component manufacturer, supply-chain provider, and other.

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 fields support profiling the size distribution and composition of the industry, informing 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 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: younger firms 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 structured, 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.