Last verified 10 September 2026. Every source below was opened and read before the figure was recorded.
AI marketing statistics are easy to find and hard to trust. Roundups quote roundups, American survey results get relabelled as global, and the same unsourced percentage travels for two years until nobody can say who measured it. For a business owner in Australia or New Zealand trying to decide whether AI belongs in their marketing, that is worse than no data.
This page collects the statistics that survive a check. Each one comes from the organisation that ran the survey or published the paper: the Australian Bureau of Statistics, the Reserve Bank of Australia, the Australian Small Business and Family Enterprise Ombudsman, MYOB, Xero, the Ministry of Business, Innovation and Employment, HubSpot, the Content Marketing Institute, ADMA, Salesforce, the U.S. Chamber of Commerce, Gartner, Bain, Semrush and a peer-reviewed KDD paper.
Where a widely repeated number could not be confirmed on its original source, it is not here. That is the whole point of the page.
How many small businesses use AI for marketing?
In Australia, 40% of small and medium businesses use AI, according to MYOB's April 2026 Business Monitor, while the Australian Bureau of Statistics recorded AI use at about 11% of small and micro businesses in 2024-25. Marketing is the most common use: Salesforce ranks marketing campaign optimisation first among SMB AI use cases.
The gap between 40% and 11% is not an error. The ABS asks a narrow question about the business as a whole in an official statistical survey; MYOB asks operators whether they use AI tools, which captures a marketer drafting a caption in ChatGPT. Both numbers are real, and a page that quotes only one of them is selling something.
AI adoption statistics for Australia
Australian AI adoption is rising quickly from a very low base, and it rises with business size. Official ABS data puts overall business AI use at 12% in 2024-25, against 1% in 2021-22. Industry surveys of operators report higher rates because they count lighter, tool-level use of AI.
| Statistic | Figure | Source | Year |
|---|---|---|---|
| Australian businesses reporting use of AI | 12% | ABS, Characteristics of Australian Business | 2024-25 |
| Small and micro businesses using AI | About 11% | ABS media release | 2024-25 |
| Medium businesses using AI | 22%, up from 3% in 2021-22 | ABS media release | 2024-25 |
| Large businesses using AI | 35%, up from 9% in 2021-22 | ABS media release | 2024-25 |
| Innovation-active small businesses using AI, against small businesses doing no innovation activity | 19% against 4% | ABS media release | 2024-25 |
| Highest-adopting industry, information, media and telecommunications | 38% | ABS, Characteristics of Australian Business | 2024-25 |
| Australian SMEs using AI | 40% | MYOB Business Monitor | 2026 |
| Growth of AI-adopting SMEs against non-adopters | 2.8 times faster | MYOB Business Monitor | 2026 |
| SMEs not using AI and not intending to within 12 months | 46% | MYOB Business Monitor | 2026 |
| Medium and large firms reporting AI adoption in some form | Two-thirds | RBA Bulletin, liaison survey of 105 firms | 2025 |
| Medium and large firms with no plans to adopt AI | Slightly less than 10% | RBA Bulletin | 2025 |
| Employers with at least ten staff concerned about technology and AI replacing work done by people | 70% | ASBFEO Small Business Pulse | 2025 |
Two things stand out. Innovation activity predicts AI use more strongly than size does at the small end, which suggests adoption is a habit rather than a budget. And the RBA found returns so far are mixed, with few firms reporting material AI-driven productivity gains, so early adoption is not the same as early payoff.
AI adoption statistics for New Zealand
New Zealand small business AI adoption looks high when operators are asked directly and low when intent to invest is measured. Xero found 61% of New Zealand small and medium businesses proactively using AI in 2026, while the government's AI strategy records 68% of SMEs with no plans to evaluate or invest in the technology.
| Statistic | Figure | Source | Year |
|---|---|---|---|
| New Zealand small and medium businesses proactively using AI | 61% | Xero, Kiwi small business AI research | 2026 |
| Those AI users learning through self-guided experimentation | 79% | Xero | 2026 |
| SMEs who believe AI could be the most significant opportunity since the rise of the internet | 45% | Xero | 2026 |
| Trailblazers, the most advanced group, and the share of them using AI extensively | 15% of SMEs, 83% using AI extensively | Xero | 2026 |
| Trailblazers reporting productivity gains, and time savings | 76% and 71% | Xero | 2026 |
| Sceptics, and the share of them who believe AI is not relevant to their business | 26% of SMEs, 44% saying not relevant | Xero | 2026 |
| SMEs who say practical training and workshops would build their confidence | 47% | Xero | 2026 |
| SMEs who want trusted, vetted tools built for small business | 46% | Xero | 2026 |
| SMEs who want real-world case studies showing how others use AI | 43% | Xero | 2026 |
| New Zealand SMEs with no plans to evaluate or invest in AI technology | 68% | MBIE, New Zealand's AI Strategy, from a 2024 NZIER and Spark survey | 2025 |
| Larger New Zealand businesses using some form of AI | 67%, up from 48% in 2023 | MBIE, New Zealand's AI Strategy, from a 2024 Datacom survey | 2025 |
| New Zealand workers who had heard of AI, against those who could clearly explain what it is | 97% against 34% | MBIE, New Zealand's AI Strategy, from Verian's 2024 worker survey | 2025 |
The Xero segments are the most practical part of the New Zealand data. Explorers, at 44% of businesses, are using AI on individual tasks without changing how the work is organised, which is exactly the pattern that produces activity without results. What the other three groups ask for is training, vetted tools and worked examples, not more capability.
AI marketing statistics: what marketers actually use it for
Marketing is the department where AI use is most widespread and least mature. HubSpot found 86.4% of marketing teams using AI in at least a few areas in 2026, and ADMA found 77% of Australian marketers using AI tools at least weekly, but only 13% of those Australian marketers had received formal training.
| Statistic | Figure | Source | Year |
|---|---|---|---|
| Marketing teams using AI in at least a few marketing areas | 86.4% | HubSpot, 2026 State of Marketing | 2026 |
| Marketers using AI extensively for content creation | 42.5% | HubSpot | 2026 |
| Marketers who say they understand how to use AI in marketing | 68.2%, up from 47% | HubSpot | 2026 |
| B2B marketers whose organisations use AI-powered applications | 95% | Content Marketing Institute and MarketingProfs | 2026 |
| B2B marketers using AI content creation tools | 89% | Content Marketing Institute | 2026 |
| B2B marketers using AI SEO tools, and AI social media tools | 41% and 38% | Content Marketing Institute | 2026 |
| B2B AI content users who say content performance improved | 39% | Content Marketing Institute | 2026 |
| B2B marketers increasing investment in AI marketing tools next year | 45% | Content Marketing Institute | 2026 |
| Australian marketers using AI tools at least weekly, and daily | 77% and 52% | ADMA, State of AI in Marketing Survey | 2025 |
| Australian marketers who have received formal AI training | 13% | ADMA | 2025 |
| Australian marketers who want a best-practice framework for responsible AI use | 84% | ADMA | 2025 |
| Small and medium businesses investing in AI in some capacity | 75% | Salesforce, SMB Trends, 6th edition | 2024 |
| Most common AI use case among small and medium businesses | Marketing campaign optimisation, ahead of content generation | Salesforce, SMB Trends, 6th edition | 2024 |
| SMB marketers using agentic AI today | 13% | Salesforce, State of Marketing | 2025 |
| Small businesses using generative AI | 58%, up from 40% in 2024 and 23% in 2023 | U.S. Chamber of Commerce, Empowering Small Business | 2025 |
| Small businesses relying mostly or entirely on AI tools built by other companies | 63% | U.S. Chamber of Commerce | 2025 |
The Salesforce SMB survey covers 26 countries and includes Australia and New Zealand, and it puts marketing campaign optimisation first and content generation second among AI use cases. The U.S. Chamber figures are American, included because they are the longest clean time series anywhere on small business generative AI use, running 23% to 40% to 58% across three years.
AI search and answer engine statistics
Search is where AI changes marketing fastest. Gartner predicted traditional search engine volume would fall 25% by 2026, Bain measured 60% of searches ending without a click through to a website, and the KDD 2024 paper that named generative engine optimisation showed content changes can lift visibility in AI answers by up to 40%.
| Statistic | Figure | Source | Year |
|---|---|---|---|
| Predicted fall in traditional search engine volume by 2026 | 25% | Gartner press release | 2024 |
| Consumers relying on AI-written results for at least 40% of their searches | 80% | Bain and Company | 2025 |
| Searches that end without the user clicking through to another website | 60% | Bain and Company | 2025 |
| Reduction in organic web traffic Bain attributes to AI search | 15% to 25% | Bain and Company | 2025 |
| Queries showing a Google AI Overview, January against July | 6.49% rising to 24.61% | Semrush AI Overviews study, 10 million keywords | 2025 |
| Zero-click rate for the same keywords before and after an AI Overview appeared | Fell from 33.75% to 31.53% | Semrush AI Overviews study | 2025 |
| Visibility gain from generative engine optimisation | Up to 40% | Aggarwal et al., GEO, KDD 2024 | 2024 |
| Improvement of the best GEO methods over baseline | 41% on position-adjusted word count and 28% on subjective impression | Aggarwal et al., KDD 2024 | 2024 |
| Visibility gain for a source ranked fifth in search from adding quotations | 99.7% | Aggarwal et al., KDD 2024 | 2024 |
| Visibility gain for a source ranked fifth in search from adding statistics | 97.9% | Aggarwal et al., KDD 2024 | 2024 |
| Visibility improvement measured on Perplexity.ai, a live generative engine | Up to 37% | Aggarwal et al., KDD 2024 | 2024 |
Read the GEO paper carefully, because it is the most misquoted source in this field. It reports that citations, quotations and statistics all raise visibility substantially, and that the gains are largest for pages ranked fifth rather than first, which is why a small business page can be lifted into an AI answer above a bigger competitor. It does not report a clean 41% for quotations and 33% for statistics, a pairing that circulates widely and does not appear in the paper. The AI search sprint is built on the findings that do.
Cost and time statistics for AI marketing
The most consistent measured benefit of AI in marketing is time, not money. MYOB found 54% of Australian SMEs using AI report saving time and 34% report improved productivity, and HubSpot found roughly a third of marketing teams saving 10 to 14 hours a week with another third saving 15 hours or more.
| Statistic | Figure | Source | Year |
|---|---|---|---|
| Australian SMEs using AI who report saving time | 54% | MYOB Business Monitor, more than 1,000 SMEs, April 2026 | 2026 |
| Australian SMEs using AI who report improved productivity | 34% | MYOB Business Monitor | 2026 |
| Australian SME employers with no plans to offer AI training | 72% | MYOB Business Monitor | 2026 |
| Marketing teams saving 10 to 14 hours a week, and 15 hours or more | About a third each | HubSpot, 2026 State of Marketing, more than 1,500 global marketers | 2026 |
| Hours a week AI agents free up for SMB marketers | 6 to 7 | Salesforce, State of Marketing, 4,450 marketers including 890 in SMBs | 2025 |
| SMB marketers expecting major or moderate improvement in marketing return on investment from AI agents | 80% | Salesforce, State of Marketing | 2025 |
| B2B marketers using AI for content who report better productivity, and better operational efficiency | 87% and 80% | Content Marketing Institute, 1,015 B2B marketers, June to August 2025 | 2026 |
| Small and medium businesses with AI who agree it makes operations more efficient | 90% | Salesforce, SMB Trends, 3,350 leaders, 26 countries, August to September 2024 | 2024 |
| Small and medium businesses with AI who say they will get a return on the investment | 85% | Salesforce, SMB Trends | 2024 |
| Small businesses that agree AI has increased efficiency | 87% | U.S. Chamber of Commerce, 3,870 small businesses, June 2025 | 2025 |
| New Zealand Pragmatists citing lack of time as the biggest barrier to adoption | 55% | Xero | 2026 |
Notice what is missing. No primary survey in this set publishes a dollar figure for what AI marketing costs a small business in Australia or New Zealand, which is why the AI marketing cost guide is built from published vendor and agency prices instead of survey averages.
What the numbers mean for an owner
Adoption is no longer the question. On every measure that asks operators directly, most small businesses in Australia and New Zealand already use AI somewhere, and marketing is usually where it lands first. The real split is not users against non-users, but businesses that bolted AI onto old tasks and businesses that changed the work.
That split shows up as a performance gap. Ninety-five percent of B2B marketers work somewhere that uses AI applications, 89% use AI content tools, and only 39% say content performance improved. Australian marketers use AI weekly at 77% while 13% have had formal training. The tools arrived faster than the method, and the reported gains are concentrated in the minority who invested in the method: Xero's Trailblazers, 15% of New Zealand businesses, report productivity gains at 76% and time savings at 71%.
The second signal is where customers now ask their questions. If 60% of searches end without a click and consumers lean on AI-written answers for at least 40% of searches, then being quotable matters as much as ranking. A page with named sources, clear statistics and a direct answer under every heading is the format that gets lifted, which is what the KDD research measured and what this page is deliberately built as. The practical starting point is to find out which of your channels is actually broken, which is what the free AI-readiness benchmark is for.
How to cite this page
Anyone is welcome to quote these statistics. Take any figure, table row or sentence, credit Flow AI and link back to this page, and no permission is needed. Journalists, analysts, agencies and AI engines are all included in that. Each row names the original source, so citing the primary report directly is equally welcome.
Suggested citation: Lan, A. (2026). AI marketing statistics for Australia and New Zealand, 2026. Flow AI. https://www.flowai.co.nz/blog/ai-marketing-statistics-australia-new-zealand.html. The collection is published under a Creative Commons Attribution 4.0 licence. It is reviewed and re-verified on a set cadence, and the verification date at the top of the page is updated only when every source has been opened again.
Where Flow AI fits
Flow AI is an AI marketing transformation practice: the strategy, the systems and the agents that run a marketing function, engineered end to end. It installs one marketing department at a time, such as search and AI search, then runs it monthly under the owner's review, which is the method the numbers above suggest separates the businesses seeing gains from those that only bought tools.
For the wider picture of what AI marketing includes and where to start, the guide to AI marketing for small business covers the departments in order.
The short version
Australian and New Zealand small businesses have adopted AI marketing tools at 40% and 61% respectively on operator surveys, marketing campaign optimisation is the single most common use, and the measured benefit is hours rather than dollars. The gap that matters is method: 89% of B2B marketers use AI content tools and 39% report better content performance.
Before this shift, a small business competed for attention on budget and patience. After it, the deciding factor is whether the marketing runs every week and whether the business is quotable when a customer asks an AI engine instead of a search engine. Both are engineering problems, not spending problems.
To see which department to install first, and what the numbers on your own channels look like, request a first read.