Canadian Manufacturing AI Automation Statistics 2026
A methodology-first evidence register for Canadian manufacturing AI automation statistics, with source definitions and caveats.
— Craig Major
This page is a living evidence register for Canadian manufacturing AI automation statistics. The figures below come from Statistics Canada surveys and are dated, defined, and linked to the original source. They describe Canadian employer businesses or survey populations. They do not predict the result for one manufacturer.
What this page measures
The page is intended to organize evidence about adoption, investment, implementation, workforce impact, and operational use of AI and automation in Canadian manufacturing. It does not claim that one survey represents every Canadian manufacturer.
Evidence table
| Metric | Value | Population and geography | Period | Primary source | Caveat |
|---|---|---|---|---|---|
| Businesses that used AI to produce goods or deliver services | 19.2% | Canadian businesses | Q2 2026, previous 12 months | Statistics Canada, Table 33-10-1167-01 | Survey measure, not a manufacturing-only rate |
| Manufacturing businesses that planned to use AI over the next 12 months | 7.2% | Canadian manufacturing businesses | Q3 2025 | Statistics Canada, Table 33-10-1045-01 analysis | Forward-looking expectation collected July 2 to August 6, 2025 |
| Manufacturing businesses that used AI over the previous 12 months | 13.1% | Canadian manufacturing businesses | Q2 2025 | Statistics Canada, Table 33-10-1004-01 | Survey estimate with Statistics Canada quality symbols and scope |
| Businesses using data analytics with AI | 36.6% of businesses that used AI | Canadian businesses | Q2 2026, previous 12 months | Statistics Canada, Q2 2026 analysis | Application share among AI-using businesses, not all businesses |
| Businesses planning to train current staff after AI adoption | 49.8% of businesses planning to use AI | Canadian businesses | Q3 2025, next 12 months | Statistics Canada, Q3 2025 analysis | Expected operational change, not a completed training result |
Vendor marketing claims, undated summaries, and unsourced AI-generated estimates do not qualify as primary evidence.
How to read the page
Statistics describe a population or sample. They do not predict what one company will achieve. A manufacturer should still examine its own process stability, data access, owner, risk boundary, and baseline before funding an AI system.
Practical next step
Use the AI Readiness Assessment to turn a general market signal into a specific workflow decision. If the priority is clear, book an AI Success Audit.
Source standard
The figures were checked on 21 August 2026. Each entry shows its source, period and definition so readers can distinguish national survey evidence from a forecast or a result for one manufacturer.