Ipsos: Gen X and Gen Z hold 7.6 trillion baht of Thai spending power, and Gen X is the bigger half

Ipsos: Gen X and Gen Z hold 7.6 trillion baht of Thai spending power, and Gen X is the bigger half

Content MarketingAugust 18, 2026
By Antonio Fernandez

Ipsos put Gen X purchasing power at over 5 trillion baht and Gen Z at over 2.6 trillion baht in its Generations Report 2026: Thailand Edition, a combined 7.6 trillion baht sitting with the two cohorts the firm tells marketers to prioritise. The same report puts Gen X at 16.8 million people, or 23.41% of the population, which makes it the single largest generation in Thailand, ahead of Gen Y at 16.5 million.

Brand Inside reported the study on 13 August 2026. The combination of those two findings, biggest cohort and biggest wallet in the same generation, is the part that should change how Thai media plans get built, because the standard 18-34 buy sits almost entirely outside it.

What the Ipsos Generations Report 2026 actually reports

The Thailand edition of the study does two separate things. It sizes each generation as a share of the Thai population, and it attaches a purchasing power figure to the two generations Ipsos identifies as the economy's main drivers. Ipsos labels Gen X the "Main Spender", the cohort with actual purchasing power in hand, and Gen Z the "Trend Setter", the cohort shaping what consumption looks like. The firm argues both will remain the primary economic drivers of Thailand through 2050.

Two purchasing power figures are published: over 5 trillion baht for Gen X and over 2.6 trillion baht for Gen Z, for the combined 7.6 trillion baht in the headline. Both are stated as floors rather than point estimates, and the report as covered by Brand Inside does not break either figure down by category, region or income band. No purchasing power figure is given for Gen Y, Baby Boomers or any other cohort, so the 7.6 trillion baht is not a share of a stated national total and should not be read as one.

Thailand's generational split, cohort by cohort

The population table is the part planners can lift straight into an audience deck. These are the five cohorts that carry the argument, with the purchasing power column filled in only where Ipsos published a number.

Thailand's generational split, cohort by cohort
GenerationPopulation (share)Purchasing power
Gen X16.8 million (23.41%)Over 5 trillion baht
Gen Y16.5 million (22.97%)Not stated in the report
Gen Z14.8 million (20.67%)Over 2.6 trillion baht
Baby Boomers11.7 million (16.39%)Not stated in the report
Gen Alpha9.8 million (13.63%)Not stated in the report

The report lists two further cohorts beyond these five: the Silent generation at 2.1 million people, or 2.88%, and the Greatest generation at about 28,000 people, or 0.04%. Seven cohorts are published in total. The gap between Gen X and Gen Y is narrow, 300,000 people and less than half a percentage point, so the useful claim is narrower: Thailand has two near-equal cohorts at the top, and only one of them carries a published spending figure.

The wealthiest cohort is also the most financially defensive

The behavioural half of the report complicates the 5 trillion baht number rather than reinforcing it. Ipsos reports that 62% of Gen X lack confidence about retirement, 68% prefer holding cash to investing, and 54% report low confidence in future investments. Those three readings describe a group that has money and is guarding it.

That matters because purchasing power is a measure of capacity, not of willingness. A cohort holding over 5 trillion baht while two thirds of it prefers cash to investment is a cohort that can be moved, but not by the messaging that works on a group with a shorter planning horizon. Aspiration and lifestyle-upgrade framing both assume a buyer who is comfortable committing money forward. The retirement anxiety figure says a large share of Gen X is not.

The reading that follows from the data, and it is a reading rather than a finding Ipsos states in these words, is that reassurance and risk reduction should carry more weight in Gen X creative than aspiration does. Warranties, clear total cost, return terms, service commitments and proof that a purchase will not need repeating are all forms of downside protection. For a cohort that names low investment confidence at 54%, downside protection is the argument that engages, not the one that gets cut for space.

Gen Z is described as buying on trust rather than price

Ipsos characterises Gen Z as digital-first and value-driven, and publishes two attitudinal readings for the cohort: a 90% "live in the present" orientation, and 60% naming financial independence as a life goal. Alongside those, the report describes a preference for quality products from trusted brands and a habit of consistent monthly investing.

Those two halves pull against each other on the surface. A 90% present orientation sounds like impulse, and a monthly investing habit sounds like the opposite. The way they fit together is that present orientation is about how Gen Z justifies spending, not about how much it plans. Money is allocated on a monthly rhythm and then spent on things judged worth having now, from brands the buyer already trusts.

The consequence for advertisers is that pure discount tactics work against the stated preference. If the cohort selects on quality and on trust in the brand, a permanent discount position teaches the opposite lesson about the product. The report does not test discounting directly, so this is an inference from the trust-and-quality preference it does state, not a measured result.

What the report does not cover

The Thailand edition is a population and attitudes study, and several things a media planner would reach for next are simply absent from it.

  • Media spend by generation. The report does not say how much advertising money currently reaches each cohort, so it cannot tell you the size of the gap between Gen X's share of wallet and Gen X's share of budget.
  • CPMs or any cost data. There are no cost-per-thousand figures by age band, so the report cannot answer whether reaching 45-60 in Thailand is cheaper or dearer than reaching 18-34.
  • Platform usage by cohort. No channel-level split is published, so the report does not tell you where Gen X attention sits or which platforms carry the Gen Z trust preference.
  • Category detail. The 5 trillion and 2.6 trillion baht figures are not broken out by product category, so a category planner cannot pull a sub-figure from them.
  • Purchasing power for the other five cohorts, including Gen Y, which is the second largest generation in the country.

Methodology detail such as sample size and fieldwork dates was not stated in the Brand Inside coverage either. Anyone planning to put the 7.6 trillion baht figure in a client deck should go to the Ipsos publication for the base before doing so.

What this means for Thai marketers

The planning consequence is narrow and specific. A default 18-34 age setting excludes Gen X almost entirely and captures only part of Gen Y, which means the standard Thai digital buy is aimed away from the largest cohort in the country and away from the only cohort with a published spending figure above 5 trillion baht. That default predates this data, and the population table is the argument for revisiting it.

Reallocating is not the same as flipping. Gen Y at 16.5 million is still the second largest cohort and Gen Z at 14.8 million is the one Ipsos says sets the direction of consumption, so the case here is for a three-cohort plan with separate creative logic in each, not for moving budget wholesale to the 45-60 band. The separation matters more than the split: the same creative that performs on a present-oriented Gen Z buyer is working against the defensiveness the report measures in Gen X, and a single message stretched across both age bands will underperform in at least one of them.

Budget arguments also need the missing half. Because the report gives no CPM or media spend data, a reallocation case has to be built from the advertiser's own auction costs, not from the report. The report supplies the demand-side justification. The cost side has to come from the account.

What to check in your own audience splits

The report is national and aggregate, so it is a prompt to look at first-party data rather than a substitute for it. Useful checks:

  • Compare the age distribution of converters against the age distribution of impressions. A gap where conversions skew older than delivery is the clearest sign that targeting is suppressing a productive cohort.
  • Confirm whether upper age caps are set explicitly anywhere in the account, including inherited audience templates and lookalike seeds built from an already-skewed customer list.
  • Check average order value by age band. Purchasing power at the national level is only useful if it shows up as higher basket size in the account.
  • Review whether creative shows people in the 45-60 range at all, and whether the reassurance elements of the offer survive to the version that actually runs.
  • Look at the friction points that fall hardest on older buyers, such as small type, forced account creation and payment methods that assume a particular app is installed.

The honest limit of generational planning

Generational segments are wide, and a 16.8 million person cohort contains wide variation in income and life stage. A 45 year old and a 60 year old sit in the same Ipsos row and rarely in the same media plan. The report's value is that it corrects a specific and common error, treating the 18-34 band as the centre of Thai consumer demand, and it does that with national figures from a named research firm. It is weaker as a segmentation model, because behaviour inside a cohort varies more than behaviour between the cohort averages in most categories.

The practical use is as a challenge to a default rather than as a new default. If a Thai media plan cannot say why it excludes the largest and, on the published figures, wealthiest cohort in the country, the plan is running on an assumption that this report contradicts. Working the population table into audience research and content marketing planning is the cheapest version of that correction, and the reallocation questions it raises apply equally to social ads and to Facebook ads targeting that has not been reviewed since it was first set.

FAQ: Ipsos Generations Report 2026, Thailand

How much purchasing power does Gen X have in Thailand?

Over 5 trillion baht, according to the Ipsos Generations Report 2026: Thailand Edition. Ipsos states the figure as a floor rather than a precise estimate, and combines it with over 2.6 trillion baht for Gen Z to reach the 7.6 trillion baht headline. The report does not break the figure down by category or income band.

Which generation is the largest in Thailand?

Gen X, at 16.8 million people or 23.41% of the population. Gen Y follows closely at 16.5 million and 22.97%, then Gen Z at 14.8 million and 20.67%. The margin between the top two cohorts is roughly 300,000 people.

Does the report say how much Gen Y spends?

No. Ipsos publishes purchasing power figures only for Gen X and Gen Z, so no comparable number exists in this report for Gen Y, Baby Boomers, Gen Alpha, the Silent generation or the Greatest generation.

What does the report say about Gen Z and money?

It reports a 90% "live in the present" orientation and 60% naming financial independence as a life goal, alongside a preference for quality products from trusted brands and consistent monthly investing habits. Ipsos calls Gen Z the "Trend Setter" cohort, the one shaping consumption patterns rather than the one holding the largest wallet.

Should Thai brands stop targeting 18-34?

The report does not recommend that, and the data does not support dropping the band. What it supports is not treating 18-34 as the whole plan, since that setting excludes the 16.8 million people in Gen X and the over 5 trillion baht in purchasing power Ipsos attributes to them.

Does the report include media costs or platform data?

No. There is no CPM data, no media spend by generation and no platform usage split by cohort, so cost-side arguments for reallocating budget have to be built from an advertiser's own account data.

If you want the population table turned into an audience plan for your own categories, with the age splits checked against what your account is actually converting, the team at Relevant Audience can take a look at your current targeting and say where the gap is.

Antonio Fernandez

Antonio Fernandez

Founder and CEO of Relevant Audience. With over 15 years of experience in digital marketing strategy, he leads teams across southeast Asia in delivering exceptional results for clients through performance-focused digital solutions.

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