Market Research in Tourism and Hospitality: The 2026 Handbook

For thirty years the standard reference on tourism and hospitality market research was a printed handbook — Miller's, Goeldner's, or one of the RKMA editions — updated every few years, sold as a hardback or PDF, and shelf-read by thousands of analysts. That format had strengths: comprehensive, peer-reviewed, durable. It also had limitations: the data was always a year or two behind, every chapter had to be rewritten at each edition, and the reader had to do the final reconciliation against live WTTC and UN Tourism releases.

This article is a live, continuously-updated handbook for market research in tourism and hospitality. It covers the full span from destination-level work down to hotel operations, the methods each level uses, and the data sources each depends on. Use it as a working reference; its current numbers reflect WTTC EIR 2025.

The four tiers of tourism and hospitality research

Research at each tier addresses different decisions and calls on different data.

Tier 1 — Destination-level

Audience: DMOs, tourism boards, policymakers, academic researchers, destination investors.

Key questions. How big is this tourism market? How fast is it growing? How has it recovered from 2019? Where does it sit on global rankings? Which peer destinations is it comparable to? What source markets drive inbound? What is the tourism share of GDP and employment?

Canonical source. WTTC Economic Impact Research (EIR) 2025 — 42 covered economies with total and direct GDP contribution, employment, visitor exports, capital investment, forecasts to 2035. Overlay with UN Tourism arrivals data and WEF Travel Development Index for competitiveness context.

Modern workflow. A Country Snapshot plus Recovery Report plus Source Markets Inbound plus Regional Benchmark produces a full destination brief in under two minutes through a verified platform like DataGreat.

Tier 2 — Segment-level (leisure, business, MICE, cruise, medical)

Audience. Operators within a sub-sector, segment-focused investors, trade associations.

Key questions. How big is leisure vs business? Domestic vs international? What are the CAGRs per segment? Which segments are recovering faster?

Canonical source. WTTC visitor spending decomposition — the standardised four-way split (leisure × business × domestic × international) at the country level. For sub-segments (cruise, MICE, medical), pair WTTC with UN Tourism specialised cuts and industry-specific sources.

Modern workflow. Visitor Spending Decomposition plus Leisure vs Business Mix plus Domestic vs International Split modules — three runs, under a minute total.

Tier 3 — Operator-level (hotel, resort, tour operator, OTA)

Audience. Hotel chains, independent resort owners, tour operators, airlines.

Key questions. What RevPAR and ADR should I target? Who is my competitive set? What is my source-market mix vs my competitive set? Where should I position against the brand segmentation? What does a 1-percentage-point recovery gain add to my revenue?

Canonical source. This tier is where WTTC hands off to operational-data providers. STR / CoStar for RevPAR and ADR benchmarks, Hotstats for hotel P&L, ForwardKeys for air-ticket demand, proprietary OTA dashboards for direct channel metrics. Reconcile against the destination-level WTTC numbers to keep the operator story consistent with the macro.

Modern workflow. Country Snapshot for macro anchor, Peer Group module for operator peer selection, then operational data overlays in Excel, STR dashboard, or hospitality-specific BI tools.

Tier 4 — Product and guest-level

Audience. Revenue managers, marketing teams, product owners.

Key questions. Guest segmentation, psychographic profiles, intent-to-return scores, channel attribution, creative testing.

Canonical source. Primary research. Visitor surveys (MMGY, BVA BDRC, Longwoods), NPS trackers, review sentiment (Trustpilot, TripAdvisor), brand trackers, campaign-attribution platforms.

Modern workflow. Commission a panel, run the survey, analyse. AI is supportive here (NLP for review sentiment, clustering for segments) but the data is bespoke.

The data-source stack for tourism and hospitality research

A single hierarchy that covers the full span:

Layer 1 — Canonical tourism datasets

• WTTC EIR 2025 — the backbone. 42 economies, 26,880 metrics, 11,647 rankings, 10-year forecasts.
• UN Tourism — international arrivals, regional and subregional detail. 1.45B global arrivals in 2024.

Layer 2 — Geographic and sub-regional complements

• OECD Tourism Statistics — advanced economies.
• Eurostat Tourism — EU-wide accommodation, nights, trips.
• National statistics bureaus — TÜİK, INE, ONS, BEA, ABS, Destatis, and peers.

Layer 3 — Hospitality operational data

• STR / CoStar Group — RevPAR, ADR, occupancy benchmarks.
• Hotstats — hotel P&L benchmarking.
• ForwardKeys — air-ticket booking demand.

Layer 4 — Macro substrate

• World Bank Open Data — GDP (nominal + PPP), population, inflation.
• IMF WEO — real GDP growth, forecasts to 2030.

Layer 5 — Consumer and brand research

• MMGY Global, BVA BDRC, Longwoods, D.K. Shifflet — consumer panels.
• Review and sentiment — TripAdvisor, Google Reviews, Trustpilot.
• Brand trackers — proprietary per destination.

Layer 6 — Sustainability and ESG

• WTTC Environmental & Social Footprint — GHG, energy mix, inclusion indicators.
• UN Tourism sustainable tourism framework.
• Destination certifications — Hotel Sustainability Basics, GSTC, Earthcheck.

A full tourism-and-hospitality research brief typically touches layers 1, 2, 4, 5 for destination and segment work, and layers 3 and 5 for operator work. Very few briefs need all six.

The canonical methods

The four methods every research workstream uses, with hospitality-specific callouts.

1. Market sizing

TAM is the total tourism economy. SAM narrows to the relevant segment (international leisure + hospitality in most hotel-brief cases). SOM is the operator's share assumption.

Hospitality nuance. For a hotel feasibility study, pair WTTC TAM with STR property-count and average-RevPAR benchmarks at the destination level to derive a supply-side cross-check.

2. Demand forecasting

WTTC × Oxford Economics 2025–2035 forecasts are the base. Overlay with UN Tourism arrival growth, national bureau trip data, and regime-aware adjustments.

Hospitality nuance. Operator demand forecasts should be anchored to destination WTTC growth, then adjusted for (a) new supply entering the destination, (b) operator-specific channel shifts, (c) pricing-power changes.

3. Competitive benchmarking

At destination level: Peer Group + Regional Benchmark modules (auto-matched peers, side-by-side matrix). At operator level: STR CompSet.

Hospitality nuance. CompSet selection is a craft. Getting it wrong — including non-comparable properties, excluding direct competitors — is the single biggest analytical error in hotel operator research.

4. Primary consumer research

Visitor surveys, trade interviews, focus groups. Expensive, slow, worth it when the decision cannot be answered from secondary data.

Hospitality nuance. The highest-ROI primary research for a hotel is usually NPS + source-market verification + price-sensitivity tracking, not exhaustive segmentation.

The workflow — a hotel feasibility study example

A PE fund is screening a $40M beach resort acquisition in Türkiye. The research workflow:

Step 1 — Destination-level anchor (Tier 1)

Run Country Snapshot (Türkiye) → 2025F T&T contribution $170B, 12.3% of GDP, 62M international arrivals, Mature classification. Run Recovery Report → Türkiye at 112% of 2019 in 2024. Run Source Markets Inbound → Germany #1 (18% share), UK, Russia, Iran, Bulgaria.

Step 2 — Segment decomposition (Tier 2)

Visitor Spending Decomposition → international 55% / domestic 45%; leisure 79% / business 21%. Leisure-international spending ≈ $74B. This is the SAM for the resort.

Step 3 — Operator benchmarks (Tier 3)

STR destination-level RevPAR benchmarks: south-coast Türkiye 4-5 star RevPAR ~$95 (Q3 2024), occupancy 72%, ADR $131. Competitive set defined by geographic cluster.

Step 4 — Sizing + SOM (Tier 1 module)

TAM · SAM · SOM module with SOM at 0.03% of leisure-international SAM → $22M addressable. The $40M capex and $38M stabilised revenue model fits.

Step 5 — Risk and recovery (Tier 1 modules)

Dependency Risk → moderate (share high, concentration moderate). Recovery Momentum → Türkiye #16 of 42 on recovery ratio. Regional Benchmark vs Spain, Greece, Portugal, Italy.

Step 6 — Primary research (Tier 4, if committed)

Visitor panel survey of prior-year Türkiye travellers — intent to stay at a new boutique resort in south-coast region, willingness-to-pay range, primary source markets. Typically $15k–$40k and 4-8 weeks.

Step 7 — Deal memo

Integrate all six layers. Every quantitative claim carries its source citation.

Total workflow on a modern verified platform: steps 1, 2, 4, 5 run in five minutes total across six module calls. Step 3 takes STR dashboard time. Step 6 is the only step that requires field time.

The discipline checklist

A discipline checklist for tourism and hospitality research in 2026:

• Every numeric claim cites its source with year, currency, and definition.
• Every forecast names its methodology (WTTC × Oxford Economics, operator model, etc.).
• Every peer group is defensibly similar (region, scale, T&T intensity).
• Every recovery claim is anchored to 2019.
• Every total vs direct T&T contribution reference is explicit.
• Operational-data (STR, Hotstats) figures are reconciled against destination WTTC totals.
• Primary research is only used when secondary cannot answer the question.
• The narrator is locked to a verified claim ledger if AI is involved in prose composition.

Why "the handbook" should not be a PDF anymore

The printed handbook format has two structural weaknesses in 2026.

Data drift. Every printed chapter is out-of-date the moment the next WTTC EIR edition drops. A live platform updates on the source-release cadence.

Static examples. Printed handbooks use yesterday's examples. A live handbook can rerun the Türkiye feasibility example against 2025F numbers.

What the printed handbook still does better: academic rigour, editorial voice, durable attribution. DataGreat's approach is to treat the platform output as the running data layer and the published writing (articles like this one) as the interpretive layer, updated as the field evolves.

How DataGreat covers the handbook

DataGreat is the running-data layer for tiers 1 and 2 — destination and segment research — with WTTC EIR 2025 anchoring, zero hallucinations, and verified citations on every claim.

Country coverage. All 42 WTTC economies, including the full hospitality-relevant set (Türkiye, Spain, France, Italy, Greece, Portugal, UAE, Saudi Arabia, Thailand, Mexico, USA, UK and more).

Module catalogue. 24 modules — Country Snapshot, TAM · SAM · SOM, Demand Forecast, Recovery, Employment, Investment, Visitor Spending Decomposition, Leisure vs Business, Domestic vs International, Source Markets Inbound, Outbound Travel, Inbound Corridor, Outbound Corridor, Bilateral Flow, Recovery Momentum, Dependency Risk, Diversification Score, Maturity Index, Global Rankings, Investment Attractiveness Score, Long-term Growth Leaders, Attractiveness Ranking, Regional Benchmark, Peer Group.

Presets for common engagements. Country Snapshot, Market Entry, Investor Pitch, Feasibility Study, Source Market Deep-dive, Recovery Benchmark, Investment Attractiveness Brief, Regional Benchmark.

Coverage limits. DataGreat does not cover Tier 3 operational hotel data (use STR / Hotstats), Tier 4 primary consumer research (use MMGY / BVA BDRC / Longwoods), or specialist sub-sector panels (cruise, MICE, medical tourism — use specialist firms). The modern tourism-and-hospitality research stack is a combination, and DataGreat is the verified-data substrate beneath it.

Pricing. Free forever on Explore (5 reference countries, 1 report per month). Paid plans from $49/mo to $1,499/mo. Start with Explore to see whether the output meets your team's standards.

The continuous handbook

The tourism and hospitality research field moves faster than a printed edition can keep up with. Use this handbook as the starting point and the DataGreat platform as the running data layer. We update both as WTTC releases new editions, as methodology shifts, and as the field learns.

When you are ready to run a verified report on the destination or segment you care about, the first one is free.