Published using aggregated, anonymised data from multi-day leisure trips planned and operated by Thrillophilia.

Overview:

This report examines how Indian leisure travellers travelled in 2024 and 2025, based on multi-day trips that were planned, booked, and completed through Thrillophilia. The focus is on data based consumer behaviour rather than interest shown in search.

The data shows that the Indian leisure travel sector is becoming more thoughtful in how trips are planned and experienced. Travellers across age groups, preferences, and budgets are moving away from rushed, checklist-style itineraries and towards journeys that prioritise comfort, pacing, and clarity of execution. Tourists now prefer fewer destinations per trip, a fulcrum point instead of multiple destinations and hotels, and more realistic, relaxing, and thoughtful daily planning across domestic and international travel destinations.

Custom and semi-custom trips now account for a large share of multi-day travel and are no longer limited to premium or niche segments. Domestic travel continues to drive demand, while short-haul international destinations have emerged as the fastest growing destinations due to ease of access, shorter flight times, and predictable on-ground experiences. Across all travel segments, value is increasingly judged by how smoothly a trip runs rather than by headline price alone.

Insight: Together, these patterns point to a maturing travel market in which trip design and execution quality are playing a central role in shaping travel demands and trends.

Section 1: About This Index

1.1 What This Index Measures

The Thrillophilia Multi-Day Travel Index measures how Indian leisure travellers actually planned and undertook multi-day trips over a defined period, based on executed travel rather than intent or aspiration.

This index is designed to answer a simple but critical question:

Where, how, and in what formats did Indians actually travel when they committed to a multi-day journey?

A. What Qualifies as a “Multi-Day Trip” in This Index

For the purpose of this index, a multi-day trip is defined as:

  • A leisure itinerary involving two or more consecutive nights
  • Covering one or multiple destinations
  • Planned and booked as a single, end-to-end journey
  • Undertaken for leisure purposes, including holidays, honeymoons, family trips, wellness travel, and experiential travel

Key characteristics of qualifying trips:

  • Includes overnight stays (minimum 2 nights)
  • Includes a planned daily structure (sightseeing, activities, or experiences)
  • Includes logistics coordination across days (accommodation, transfers, experiences)
  • Has a defined start and end date

What does not qualify:

  • Day trips or single-activity bookings
  • Standalone hotel stays without an itinerary
  • Flights booked without an accompanying multi-day plan
  • Transit stopovers without structured travel
This ensures the index reflects journey-level travel decisions, not isolated purchases.

B. What is Included in This Index?

The index is built using aggregated, anonymised data from multi-day tours that were planned, booked, and operated within the index window.

Included data signals cover:

1. Executed Multi-Day Leisure Trips

  • Domestic multi-day trips within India
  • International outbound multi-day trips from India
  • Trips across all traveller types: solo, couples, families, and groups
Only trips that moved beyond planning and resulted in confirmed bookings are included.

2. Itinerary Design & Modification Behaviour

  • Number of nights and destinations
  • Changes requested before booking (pace, hotels, routing)
  • Preference shifts observed across traveller segments
This helps understand how travellers structured their trips, not just where they went.

3. Traveller Segmentation Signals

  • Gen Z & young professionals
  • Families
  • Honeymooners & couples
  • Luxury & premium travellers
  • Wellness & slow-travel seekers
This allows the index to reflect who travelled where, not just overall volume.

4. Destination-Level Demand Patterns

  • Relative popularity of destinations
  • Movement of destinations up or down rankings over time
  • Emergence of new or previously niche destinations
Destinations are ranked relative to each other, rather than reported as raw counts.

C. What is Explicitly Excluded?

To maintain clarity and comparability, the following are not included in this index:

  • Search intent without booking
  • Browsing behaviour on listings or marketplaces
  • Standalone flight bookings
  • Standalone hotel bookings
  • Activities or attractions booked independently
  • Business travel, MICE, or corporate offsites
  • Inbound foreign tourist travel to India
Excluding these ensures the index reflects deliberate leisure travel decisions, not fragmented, subjective, or exploratory behaviour.

D. How Does This Index Differ from Tourism Board Data?

Tourism board data typically measures:

  • Tourist arrivals
  • Hotel occupancy
  • Footfall at destinations
  • Border entries or airport traffic

While useful at a macro level, such data does not explain:

  • Trip structure
  • Traveller intent
  • Length of stay patterns
  • Traveller segment preferences

In contrast, this index measures:

  • Trip-level behaviour
  • Traveller-led decision patterns
  • How journeys are designed and experienced
It answers why travellers went somewhere, not just that they arrived.

E. How Does This Index Differ from OTA or Marketplace Data?

Online travel agencies (OTAs) and marketplaces primarily reflect:

  • Individual product transactions (flights, hotels, activities)
  • Price-led comparison behaviour
  • High-volume, low-context bookings

This index differs in three key ways:

  • Journey-Level View: It analyses complete multi-day journeys rather than isolated components.
  • Execution-Based Signals: It reflects trips that were actually taken, not just searched or listed.
  • Format & Segment Focus: It captures how different traveller types plan and experience travel, not just what they purchase.

As a result, the index reveals structural travel patterns that are often invisible in component-level data.

F. Why This Matters

Multi-day travel represents the highest-intent, highest-commitment form of leisure travel.

By focusing exclusively on this category, the index provides:

  • A clearer picture of how Indian leisure travel is evolving
  • Early signals of destination momentum
  • Insight into changing traveller priorities across age and income groups

This makes the index particularly relevant for:

  • Media and industry analysts
  • Destination marketers
  • Tourism boards
  • Travel ecosystem stakeholders

1.2 How This Index Is Built

The Thrillophilia Multi-Day Travel Index compares how Indian travellers booked and travelled in 2025 versus 2024, based only on confirmed multi-day leisure trips.

The purpose is simple:
To identify what changed in destinations, traveller segments, and trip formats year-on-year.

A. Timeframe & Scope

  • Comparison: 2024 vs 2025
  • Coverage:
    • Domestic India
    • International outbound travel from India
  • Trip type: Leisure multi-day travel (2+ nights)

B. Data Used

Only trips that were booked, paid for, and travelled are included.

The analysis uses:

  • Multi-day tour bookings
  • Destination-level booking trends
  • Traveller group composition (families, couples, Gen Z, luxury, wellness)
  • Trip structure (duration, number of destinations, hotel category)

C. How Trends Are Measured

All insights are expressed as:

  • Year-on-year growth or decline (%)
  • Trends in destination rankings

This allows us to clearly state, for example:

  • Which destinations grew faster in 2025
  • Which traveller segments expanded or slowed
  • How trip design preferences shifted

D. What Is Excluded

To avoid distortion, the index does not include:

  • Search or browsing data
  • Standalone flights or hotel bookings
  • Activities booked independently
  • Business or corporate travel

Note: Only multi-day leisure trips that actually happened are analysed.

E. Why This Approach Works

By comparing real travel in 2024 vs 2025, this index reflects revealed traveller behaviour, not intent or aspiration.


1.3 How to Read the Rankings

All rankings in this report reflect actual multi-day leisure trips booked and travelled during the comparison period. They are designed to show relative preference and travel momentum, not absolute market size.

A. What “Top 10” Means

  • Destinations are ranked out of 10, based on overall booking share in 2025
  • Only multi-day leisure trips are considered
  • Rankings indicate where Indians travelled the most, not where they searched the most

B. What “Fastest Growing” Means

  • Destinations showing the highest year-on-year growth from 2024 to 2025
  • Growth is measured on actual bookings, not listings or page views
  • A destination can be fast-growing even if it is not yet among the largest

C. What “Loved by” a Traveller Segment Means

  • Reflects destinations that saw disproportionate growth within a specific traveller group
  • For example: Gen Z, families, honeymooners, luxury or wellness travellers
  • Indicates increasing preference, not just popularity

D. Why Rankings Are Used Instead of Raw Numbers

  • Rankings allow clean comparison across destinations
  • Avoid distortion caused by base size differences
  • Make trends easier to interpret for readers

E. What Rankings Do Not Represent

  • They are not tourism arrival statistics
  • They do not reflect search interest or online browsing
  • They are not endorsements or recommendations

Section 2: The Big Shifts In Indian Leisure Travel

2.1 How Indian Leisure Travel Has Changed Since 2023

Indian leisure travel between 2023 and 2025 did not merely rebound in volume, it changed in character. Across multi-day trips booked and travelled, three clear behavioural shifts stand out.

A. From Checklist Travel to Experience-Led Travel

Till 2023, a large share of itineraries were designed to cover maximum places in minimum time. By 2025, travellers increasingly chose to do less, but experience more.

Observed patterns (2024 - 2025):

  • Fewer destinations per trip, but longer stays in each
  • Decline in rushed, landmark-heavy itineraries
  • Rise in experience clusters (nature, culture, food, adventure)
  • Increase in trips designed around experiences rather than city counts
  • Growth in itineraries with one primary base instead of frequent hotel changes
  • Higher acceptance of itineraries that deliberately include downtime or buffer days
What this signals:
Indian travellers are no longer optimising for “how many places we can see”, but for how meaningful and comfortable the journey feels.

B. From Group-Heavy to Personalised & Semi-Custom Itineraries

Group travel still exists, but it is no longer the default choice. Travellers increasingly moved towards personalised or semi-custom multi-day tours in 2024 and 2025.

Observed patterns:

  • Higher demand for itineraries tailored especially around:
    • Family composition
    • Pace preferences
    • Hotel comfort levels
    • Reducing daily travel time
    • Adjusting sightseeing density
  • Decline in large, rigid group schedules
  • Faster growth in custom and semi-custom tours compared to fixed group departures
  • Group tours increasingly concentrated in budget-sensitive segments only
What this signals:
Indian travellers now expect trips to adapt to them, not the other way around.

C. From Price-Led to Outcome-Led Decisions

While price remains important, it is no longer the primary decision driver in multi-day travel. Since 2023, travellers increasingly prioritised final outcome and experience over the lowest visible cost.

Observed patterns:

  • Higher willingness to accept price differences in exchange for:
    • Better hotels
    • More realistic itineraries
    • Clear on-ground support
  • A sharp decline in bookings driven purely by discounts
  • Increased acceptance of higher-priced itineraries when execution clarity was higher
  • Fewer cancellations on well-defined, slower-paced trips
  • Shift in customer queries from “Can this be cheaper?” to “How will this be executed?”
What this signals:
Travellers are optimising for peace of mind, not just savings, especially for family and international travel.

2.2 What Stayed the Same

While Indian leisure travel evolved in meaningful ways after 2023, not everything changed. Several foundational patterns remained stable and continue to anchor multi-day travel demand. These constants provide context to the shifts outlined earlier and explain why certain destinations and formats continue to perform as strongly.

A. Core Domestic Demand Remained Strong

Domestic travel continued to form the backbone of Indian multi-day leisure trips.

Observed patterns:

  • A significant share of multi-day trips remained within India
  • Domestic destinations continued to attract first-time travellers and repeat visitors equally
  • Seasonal peaks (summer, festive periods) remained unchanged
  • Continued preference for destinations that allow easy logistics and shorter travel times
  • Stable demand for hill stations, heritage circuits, and nature-led regions
Why this matters:
Domestic travel remains a major section of multi-day trips and acts as the stabilising force during global uncertainty.

B. Seasonal Family Travel Persisted

Despite changes in trip design and spend behaviour, seasonal families travel patterns did not change significantly.

Observed patterns:

  • Booking volumes peaked around predictable calendar periods
  • Summer and festive windows remained the highest-demand periods
  • Advance planning cycles for families remained longer than other segments
  • Families continued to avoid shoulder seasons unless trips were short-haul
  • Trip duration during school holidays remained longer than off-season travel
Why this matters:
Family travel is still calendar-driven, even though the manner and nature of travel has evolved.

C. Short-Haul Asia Tours Continued to Dominate Outbound Travel

Short-haul Asian destinations retained their position as the most accessible and reliable outbound choices for Indian travellers.

Observed patterns:

  • Southeast Asia and nearby short-haul international destinations like Thailand, Singapore, Malaysia, Bali and neighbouring regions remained top preferences
  • Visa simplicity and flight duration continued to influence decisions
  • Repeat travel to familiar short-haul destinations remained high
  • Strong family and Gen Z preference for short-haul international trips
  • Shorter decision cycles compared to long-haul destinations
Why this matters:
Short-haul Asia continues to offer the best balance of affordability, convenience, and experience density for Indian travellers.

Section 3: The Traveller Segments Redefining Indian Leisure Travel

3.1 Gen Z & Young Professionals (Ages ~23–35)

This segment showed the sharpest behavioural change between 2024 and 2025. The shift is not about where Gen Z travels alone, but how frequently, how intensely, and why.

A. Trip Structure & Timing Preferences (2025 vs 2024)

Behaviour Metric Change What It Signals
Weekend-heavy & short-break travel (4–6 nights)+43%Trips planned around work schedules
Long annual vacations (10+ nights)–12%Decline of once-a-year long holidays
Multiple trips per year+51%Higher travel frequency
Off-season travel+39%Greater flexibility and price awareness
Remote-work enabled itineraries+34%Travel combined with working days

What this shows:
Gen Z is travelling more frequently but for shorter durations, structuring trips around work schedules, flexibility, and the ability to travel outside peak seasons rather than committing to one long annual holiday.

B. Experience & Itinerary Design Preferences

Behaviour Metric Change What It Signals
Adventure & experience-led itineraries+58%Experiences driving destination choice
Nightlife, events & after-dark experiences+47%Demand for curated evenings
Cultural immersion & food-led travel+42%Shift away from tourist-only circuits
Landmark-heavy sightseeing–14%Declining appeal of checklist travel
Flexible daily pacing+49%Clear rejection of overpacked days

What this shows:
Gen Z prioritises experience quality per day over sightseeing volume, favouring flexible pacing, cultural experiences, and curated activities over landmark-heavy itineraries.

C. Spending & Value Perception

Behaviour Metric Change What It Signals
Value-for-money optimisation+52%Willingness to pay for better outcomes
Budget-only travel–9%Lower focus on cheapest options
Mid-premium hotels / hostels+38%Comfort preferred over low cost
Shared accommodations–16%Declining tolerance for inconvenience

What this shows:
Gen Z remains cost-aware but is increasingly willing to spend for comfort, better planning, and smoother execution, signalling a shift away from purely budget-driven travel.

D. Destination Behaviour Patterns*

Behaviour Metric Change What It Signals
Southeast Asia travel+54%High experience density and accessibility
First-time destination experimentation+48%Openness to newer destinations
Repeat visits to the same destination–24%Preference for novelty
Long-haul aspiration travel+12%Present, but limited

What this shows:
Gen Z outbound travel growth is centred on short-haul destinations with high experience value. Interest in new destinations is rising, while repeat travel is declining. Long-haul travel remains aspirational and selective.

*Repeat travel remains skewed toward a few destinations such as Goa, Thailand, and Himachal.