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市場調查報告書
商品編碼
2141383

線上旅行社市場機會、成長要素、產業趨勢分析及2026-2035年預測

Online Travel Agency Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2026 - 2035

出版日期: | 出版商: Global Market Insights Inc. | 英文 295 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

全球線上旅行社市場預計到 2025 年將達到 7,502 億美元,年複合成長率為 8.4%,到 2035 年將達到 1.69 兆美元。

市場範圍
開始年份 2025
預測期 2026-2035
初始市場規模 7502億美元
預計金額 1.69兆美元
複合年成長率 8.4%

線上旅行社 (OTA) 作為中介,為個人和企業旅客預訂住宿設施、航班、地面交通和活動。該市場不包括旅客與旅行供應商在 OTA 平台之外直接進行的交易。智慧型手機的普及、國際旅行產品獲取管道的增加、便利的支付功能以及多產品預訂能力持續推動著市場成長。旅客越來越傾向於選擇能夠讓他們透過統一的數位體驗來發現、比較、購買和管理多種旅行服務的平台。同時,OTA 也透過提升個人化服務、簡化預訂流程以及增加旅行選擇的多樣性來不斷增強自身的價值提案。因此,競爭格局正在向那些能夠與旅客和旅行供應商保持緊密聯繫,同時又能提供豐富的產品庫存、便捷的數位化體驗、可靠的支付基礎設施和高效的客戶支援的平台傾斜。

預計到2025年,機票預訂市場規模將達2,332億美元。該市場預計將以7.3%的複合年成長率成長,主要得益於旅客持續高度依賴數位化管道購買機票。與全球分銷系統(GDS)和航空公司建立的合作關係,使線上旅行社(OTA)平台能夠獲得豐富的機票庫存,並透過集中式預訂介面提供多種選擇。數位化進程的推進以及便利的機票比價功能,進一步鞏固了機票預訂在線上旅行社市場的重要性。

個人旅行者是面向消費者的線上旅行社 (OTA) 平台的主要基本客群,他們的數位預訂活動涵蓋旅行資訊搜尋、價格比較、交易完成和售後支援。消費者需求涵蓋機票、住宿設施和其他旅遊相關服務,這為 OTA 透過整合預訂體驗來提升客戶參與創造了機會。另一方面,企業旅行者需要更專業的平台功能,例如差旅政策管理、集中式報告、與費用管理系統整合以及為旅行者提供的專屬支援。這些需求使企業差旅成為一個獨特的市場機遇,其營運和技術需求與個人消費者截然不同。

預計到2025年,北美線上旅行社(OTA)市場規模將達到2,239億美元,並在2035年之前以5.9%的複合年成長率成長。其中,美國預計到2025年將佔該地區市場規模的1,765億美元,加拿大將佔475億美元。線上預訂的高滲透率造就了一個相對成熟的市場環境,這在一定程度上抑制了整體成長速度。然而,企業差旅和忠誠度計畫驅動的直接預訂的普及,持續為北美市場創造競爭機會。 OTA供應商透過提升數位互動、增強客戶維繫以及拓展線上預訂生態系統所提供的價值,不斷展開競爭。

目錄

第1章:調查方法

第2章執行摘要

第3章 行業洞察

  • 產業生態系分析
    • OTA平台類型:全方位服務平台(Expedia、Booking.com)與專業化平台(Kayac、Hopper)
    • 供應商概覽:飯店、航空公司、汽車租賃公司
    • 銷售管道結構:OTA、直銷、GDS 和元搜索
    • 每個階段增加的價值
    • 顛覆性創新和平台整合的趨勢
  • OTA產生收入框架
    • 市場指標定義:總預訂量 (GBV) 與 OTA收入淨額與佣金率
    • 代理模式的經濟學:佣金結構與收入淨額計算
    • 商戶模式的經濟學:淨利率差、加價和總收入的說明
    • 依服務類別取得報價:飯店、機票、租車、旅遊套裝、體驗式旅遊
    • 輔助性和非交易性收入來源(廣告、優先展示、版稅、訂閱)
  • 影響產業的因素
    • 促進因素
      • 網路和智慧型手機普及率不斷提高
      • 廉價航空公司和低成本旅行的擴張
      • 跨境和國際觀光增加
      • 數位支付解決方案的廣泛應用
    • 產業潛在風險與挑戰
      • 高昂的客戶獲取和行銷成本
      • 對第三方旅遊服務供應商的依賴
    • 市場機遇
      • 向二、三線城市擴張
      • 針對大中小型企業的商務旅遊預訂平台發展迅速
      • 金融科技服務整合
      • 小眾旅遊需求日益成長
  • 成長潛力分析
  • 技術與創新展望
    • 最新科技趨勢
      • 人工智慧驅動的個人化和建議引擎
      • 基於雲端的預訂平台,整合了API和GDS。
    • 新興技術
      • 生成式人工智慧和互動式旅行助手
      • 利用預測分析和客戶資料平台 (CDP) 實現超個人化
  • 監理情勢
    • 北美洲
      • 美國運輸部(US)-機票價格完全透明化的規則和消費者保護條例
      • 加拿大競爭管理局(加拿大)-在數位市場中執行競爭和線上價格透明度
    • 歐洲
      • 歐盟委員會-旅遊套裝指令(EU 2015/2302)和消費者權益指令
      • 歐盟委員會-關於線上平台和市場的數位服務法案(DSA)
    • 亞太地區
      • 中華人民共和國文化與旅遊部-智慧旅遊與線上旅遊平台發展條例
      • 印度旅遊部-國家數位旅遊使命(NDTM)與數位旅遊舉措
    • 拉丁美洲
      • 巴西旅遊部-旅遊業數位轉型策略及舉措
      • 墨西哥旅遊部(SECTUR)-國家旅遊數位化與永續旅遊政策
    • 中東和非洲
      • 杜拜(阿拉伯聯合大公國)經濟和旅遊局 - 杜拜旅遊局的數位化策略和智慧旅遊舉措
      • 沙烏地阿拉伯旅遊部—「2030願景」旅遊策略與數位化旅遊轉型舉措
  • 定價和費率分析
    • 按服務類別分類的佣金率歷史趨勢(2022-2025 年)
    • 飯店OTA佣金率:連鎖飯店與獨立住宿設施的比較
    • 航空公司OTA費用和雜項收費系統
    • 線上租賃代理(OTA)服務的定價趨勢
  • 波特的分析
  • PESTLE分析
  • OTA平台基礎設施與部署狀態
    • 按服務類型和旅客群體分類的平台滲透率
    • 行動和桌面採用趨勢、擴充性和基礎設施投資
  • 人工智慧和生成式人工智慧對市場的影響
    • 利用人工智慧改造現有經營模式
    • 按細分市場分類的生成式人工智慧用例和部署藍圖
    • 風險、限制和監管考量
  • 預測假設和情境分析
    • 基本案例-驅動複合年成長率的關鍵宏觀經濟與產業變量
    • 樂觀情境-宏觀經濟與產業的順風
    • 悲觀情景-宏觀經濟放緩或產業逆風

第4章 競爭情勢

  • 介紹
  • 企業市佔率分析
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東和非洲
  • 主要市場公司的競爭分析
  • 競爭定位矩陣
  • 主要進展
    • 併購
    • 夥伴關係和聯盟
    • 新產品發布
    • 業務拓展計劃及資金籌措
  • 按公司規模進行基準測試
    • 排名分類標準與遴選標準
    • 按銷售額、地區和創新能力分類的層級定位矩陣。

第5章 市場估計與預測:依服務業分類,2022-2035年

  • 飯店和住宿設施
    • 品牌/連鎖飯店預訂平台
    • 獨立飯店預訂平台
    • 替代住宿平台
    • 長期住宿和企業住宅
  • 航班預訂
    • 國內航班預訂
    • 國際機票預訂
    • 輔助服務和附加選項
  • 租車和地面交通途徑
    • 租車OTA平台
    • 與共乘和替代交通途徑的整合
    • 預訂多模態交通途徑
  • 活動、體驗、旅遊
    • 觀光觀光
    • 娛樂、活動、門票銷售
    • 餐飲體驗

第6章 市場估算與預測:預約方式,2022-2035年

  • 應用程式
  • 網站
  • 語音和互動式預訂
  • 社群媒體和新興管道

第7章 市場估計與預測:依年齡層別分類,2022-2035年

  • 29歲以下(Z世代)
  • 30-44歲(千禧世代)
  • 45-59歲(X世代)
  • 60歲以上(嬰兒潮世代)

第8章 市場估計與預測:依旅行者分類,2022-2035年

  • 休閒旅客
  • 商務旅客
  • 前往娛樂、體育和活動場所的旅客
  • 教育旅行者
  • 其他

第9章 市場估算與預測:依經營模式,2022-2035年

  • 收費模式
  • 商家模式
  • 廣告收入和優先展示
  • 訂閱和會員模式

第10章 市場估價與預測:依應用領域分類,2022-2035年

  • 個人旅行者
  • 商務旅客

第11章 市場估價與預測:按地區分類,2022-2035年

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 北歐的
    • 俄羅斯
    • 荷蘭
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 新加坡
    • 越南
    • 印尼
    • 泰國
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中東和非洲
    • 南非
    • 沙烏地阿拉伯
    • UAE

第12章:公司簡介

  • 世界公司
    • Airbnb
    • Alphabet(Google)
    • Booking
    • Expedia
    • Global Business Travel Group(Amex GBT)
    • Trip.com
    • Tripadvisor
    • Trivago
  • 本地公司
    • Despegar
    • eDreams ODIGEO
    • Etraveli
    • Fareportal
    • Klook
    • lastminute.com
    • MakeMyTrip
    • Tongcheng Travel
  • 新興企業
    • Hopper
    • Kiwi.com
    • Navan
    • Spotnana
簡介目錄
Product Code: 14376

The Global Online Travel Agency Market was valued at USD 750.2 billion in 2025 and is estimated to grow at a CAGR of 8.4% to reach USD 1.69 trillion by 2035.

Market Scope
Start Year2025
Forecast Year2026-2035
Start Value$750.2 Billion
Forecast Value$1.69 Trillion
CAGR8.4%

Online travel agencies serve as intermediaries for accommodation, air travel, ground transportation, and activity bookings across both consumer and corporate travel requirements. The market does not include transactions completed directly between travelers and travel suppliers outside OTA platforms. Increasing smartphone usage, broader access to international travel inventory, seamless payment compatibility, and multi-product booking capabilities continue to shape market expansion. Travelers increasingly favor platforms that allow them to discover, compare, purchase, and manage multiple travel services through a unified digital experience. At the same time, OTAs continue to strengthen their value proposition by improving personalization, simplifying booking processes, and expanding access to diverse travel options. Competitive dynamics are therefore shifting toward platforms that can combine extensive inventory, convenient digital experiences, reliable payment infrastructure, and effective customer support while maintaining strong relationships with both travelers and travel suppliers.

Flight Booking segment accounted for USD 233.2 billion in 2025. The segment is anticipated to advance at a 7.3% CAGR as travelers continue to rely heavily on digital channels for air travel purchases. Established connections with global distribution systems and airlines provide OTA platforms with broad access to flight inventory, enabling them to offer extensive choices through centralized booking interfaces. Strong digital adoption and the convenience of comparing fares across multiple carriers further support the continued importance of flight booking within the online travel agency market.

Individual travelers segment represent the primary customer base for consumer-focused OTA platforms, with their digital booking activities spanning travel discovery, price comparison, transaction completion, and support after purchase. Consumer demand extends across air travel, accommodation, and additional travel-related services, creating opportunities for OTAs to increase engagement through integrated booking experiences. Corporate travelers, meanwhile, require more specialized platform capabilities, including travel policy management, centralized reporting, expense integration, and dedicated traveler assistance. These requirements establish corporate travel as a distinct market opportunity with operational and technology needs that differ substantially from those of individual consumers.

North America Online Travel Agency market held USD 223.9 billion in 2025 and is forecast to grow at a CAGR of 5.9% through 2035. Within the region, the United States accounted for USD 176.5 billion, while Canada contributed USD 47.5 billion in 2025. High levels of online booking adoption create a relatively mature market environment, which limits the pace of overall growth. However, corporate travel distribution and loyalty-driven direct booking continue to create competitive opportunities across North America. OTA providers continue to compete by improving digital engagement, strengthening customer retention, and expanding the value offered through their online booking ecosystems.

Major companies operating in the global online travel agency market include Trip.com, Airbnb, Tongcheng Travel, Booking, and Expedia.

Companies in the global online travel agency market are strengthening their market position through platform expansion, strategic partnerships, technology upgrades, and customer-focused services. Leading providers continue to broaden their travel inventory while improving mobile platforms, search functionality, personalization, and payment experiences. Companies are also investing in loyalty programs and targeted offers to encourage repeat bookings and strengthen customer retention. Partnerships with airlines, hotels, transportation providers, and other travel businesses help OTAs expand available inventory and increase their reach across key markets. Corporate travel solutions remain another important strategy, with providers developing tools for policy management, reporting, expense coordination, and traveler support. In addition, companies are using data-driven technologies to understand booking behavior and deliver more relevant recommendations. These initiatives enable market participants to improve customer engagement, diversify revenue opportunities, and reinforce their competitive position in the rapidly expanding digital travel ecosystem.

Table of Contents

Chapter 1 Methodology

  • 1.1 Research approach
  • 1.2 Quality Commitments
    • 1.2.1 GMI AI policy & data integrity commitment
      • 1.2.1.1 Source consistency protocol
  • 1.3 Research Trail & Confidence Scoring
    • 1.3.1 Research Trail Components
    • 1.3.2 Scoring Components
  • 1.4 Data Collection
    • 1.4.1 Partial list of primary sources
  • 1.5 Data mining sources
    • 1.5.1 Paid sources
      • 1.5.1.1 Sources, by region
  • 1.6 Base estimates and calculations
    • 1.6.1 Base year calculation
  • 1.7 Forecast model
    • 1.7.1 Quantified market impact analysis
      • 1.7.1.1 Mathematical impact of growth parameters on forecast
  • 1.8 Research transparency addendum
    • 1.8.1 Source attribution framework
    • 1.8.2 Quality assurance metrics
    • 1.8.3 Our commitment to trust

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Service
    • 2.2.3 Business model
    • 2.2.4 Mode of booking
    • 2.2.5 Traveler
    • 2.2.6 Age group
    • 2.2.7 End use
  • 2.3 TAM analysis, 2027-2035
  • 2.4 CXO perspectives: Strategic imperatives

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 OTA Platform Types: Full-Service (Expedia, Booking) vs. Vertical-Specific (Kayak, Hopper)
    • 3.1.2 Supplier Landscape Hotels, Airlines, Car Rental Operators
    • 3.1.3 Distribution Channel Architecture: OTA vs. Direct vs. GDS vs. Metasearch
    • 3.1.4 Value Addition at Each Stage
    • 3.1.5 Disruptions and Platform Consolidation Trends
  • 3.2 OTA Revenue Generation Framework
    • 3.2.1 Market Metric Definitions: Gross Booking Value (GBV) vs. Net OTA Revenue vs. Take Rate
    • 3.2.2 Agency Model Economics Commission Structure and Net Revenue Derivation
    • 3.2.3 Merchant Model Economics Net Rate Spread, Markup and Gross Revenue Presentation
    • 3.2.4 Take Rate by Service Category: Hotel, Air, Car Rental, Packages, Experiences
    • 3.2.5 Ancillary & Non-Transaction Revenue Streams (Advertising, Preferred Placement, Loyalty, Subscriptions)
  • 3.3 Industry impact forces
    • 3.3.1 Growth drivers
      • 3.3.1.1 Increasing internet and smartphone penetration
      • 3.3.1.2 Expansion of low-cost airlines and budget travel
      • 3.3.1.3 Rising cross-border and international tourism
      • 3.3.1.4 Growing adoption of digital payment solutions
    • 3.3.2 Industry pitfalls and challenges
      • 3.3.2.1 High customer acquisition and marketing costs
      • 3.3.2.2 Dependence on third-party travel suppliers
    • 3.3.3 Market opportunities
      • 3.3.3.1 Expansion into tier II & tier III cities
      • 3.3.3.2 Growth of corporate and SME travel booking platforms
      • 3.3.3.3 Integration of fintech services
      • 3.3.3.4 Increasing demand for niche travel
  • 3.4 Growth potential analysis
  • 3.5 Technology and innovation landscape
    • 3.5.1 Current technological trends
      • 3.5.1.1 AI-powered personalization & recommendation engines
      • 3.5.1.2 Cloud-based booking platforms with API & GDS integration
    • 3.5.2 Emerging technologies
      • 3.5.2.1 Generative AI and conversational travel assistants
      • 3.5.2.2 Hyper-personalization using predictive analytics and customer data platforms (CDPs)
  • 3.6 Regulatory landscape
    • 3.6.1 North America
      • 3.6.1.1 U.S. Department of Transportation (U.S.) – Full Airfare Price Transparency Rule & Consumer Protection Regulations
      • 3.6.1.2 Competition Bureau Canada (Canada) – Digital Marketplace Competition & Online Pricing Transparency Enforcement
    • 3.6.2 Europe
      • 3.6.2.1 European Commission – Package Travel Directive (EU 2015/2302) & Consumer Rights Directive
      • 3.6.2.2 European Commission – Digital Services Act (DSA) for Online Platforms and Marketplaces
    • 3.6.3 Asia Pacific
      • 3.6.3.1 Ministry of Culture and Tourism of the People's Republic of China – Smart Tourism Development & Online Travel Platform Regulations
      • 3.6.3.2 Ministry of Tourism, Government of India – National Digital Tourism Mission (NDTM) & Digital Travel Ecosystem Initiatives
    • 3.6.4 Latin America
      • 3.6.4.1 Ministry of Tourism of Brazil – Digital Tourism Strategy & Tourism Digital Transformation Initiatives
      • 3.6.4.2 Secretariat of Tourism (SECTUR), Mexico – National Tourism Digitalization & Sustainable Tourism Policies
    • 3.6.5 Middle East & Africa
      • 3.6.5.1 Department of Economy and Tourism, Dubai (UAE) – Dubai Tourism Digital Strategy & Smart Tourism Initiatives
      • 3.6.5.2 Ministry of Tourism of Saudi Arabia – Vision 2030 Tourism Strategy & Digital Tourism Transformation Initiatives
  • 3.7 Pricing & Take Rate Analysis (Driven by Primary Research)
    • 3.7.1 Historical Take Rate Trends by Service Category, 2022–2025
    • 3.7.2 Hotel OTA Take Rates: Branded Chain vs. Independent Properties
    • 3.7.3 Air OTA Commission & Ancillary Fee Structure
    • 3.7.4 Car Rental OTA Pricing Dynamics
  • 3.8 Porter’s analysis
  • 3.9 PESTEL analysis
  • 3.10 OTA Platform Infrastructure & Deployment Landscape (Driven by Primary Research)
    • 3.10.1 Platform Penetration by Service Category & Traveler Segment
    • 3.10.2 Mobile vs. Desktop Deployment Trends, Scalability & Infrastructure Investment
  • 3.11 Impact of AI & Generative AI on the Market
    • 3.11.1 AI-driven disruption of existing business models
    • 3.11.2 Gen AI use cases & adoption roadmap by segment
    • 3.11.3 Risks, limitations & regulatory considerations
  • 3.12 Forecast assumptions & scenario analysis (Driven by primary research)
    • 3.12.1 Base Case — key macro & industry variables driving CAGR
    • 3.12.2 Optimistic Scenarios — Favorable macro and industry tailwinds
    • 3.12.3 Pessimistic Scenario — Macroeconomic slowdown or industry headwinds

Chapter 4 Competitive Landscape, 2025

  • 4.1 Introduction
  • 4.2 Company market share analysis
    • 4.2.1 North America
    • 4.2.2 Europe
    • 4.2.3 Asia Pacific
    • 4.2.4 LATAM
    • 4.2.5 MEA
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Key developments
    • 4.5.1 Mergers & acquisitions
    • 4.5.2 Partnerships & collaborations
    • 4.5.3 New product launches
    • 4.5.4 Expansion plans and funding
  • 4.6 Company tier benchmarking
    • 4.6.1 Tier classification criteria & qualifying thresholds
    • 4.6.2 Tier positioning matrix by revenue, geography & innovation

Chapter 5 Market Estimates & Forecast, By Service, 2022 - 2035 ($Bn), (Number of Room Nights, Number of Flight Bookings, Number of Car Rental Bookings)

  • 5.1 Key trends
  • 5.2 Hotel & accommodation OTA services
    • 5.2.1 Branded/chain hotel booking platforms
    • 5.2.2 Independent hotel booking platforms
    • 5.2.3 Alternative accommodation platforms
    • 5.2.4 Extended stay & corporate housing
  • 5.3 Flight booking & airline OTA services
    • 5.3.1 Domestic flight booking
    • 5.3.2 International flight booking
    • 5.3.3 Ancillary services and add-ons
  • 5.4 Car rental & ground transportation OTA services
    • 5.4.1 Car rental OTA platforms
    • 5.4.2 Ride-hailing & alternative transportation integration
    • 5.4.3 Multi-modal transportation booking
  • 5.5 Activities, experiences & tours OTA services
    • 5.5.1 Tours and sightseeing
    • 5.5.2 Entertainment, events & ticketing
    • 5.5.3 Food & dining experiences

Chapter 6 Market Estimates & Forecast, By Mode of Booking, 2022 - 2035 ($Bn)

  • 6.1 Key trends
  • 6.2 App-based
  • 6.3 Web-based
  • 6.4 Voice and conversational booking
  • 6.5 Social media and emerging channels

Chapter 7 Market Estimates & Forecast, By Age Group, 2022 - 2035 ($Bn)

  • 7.1 Key trends
  • 7.2 Up to 29 years (Gen Z)
  • 7.3 30 to 44 years (Millennials)
  • 7.4 45 to 59 years (Gen X)
  • 7.5 60 years and above (Baby Boomers)

Chapter 8 Market Estimates & Forecast, By Traveler, 2022 - 2035 ($Bn), No of Travelers

  • 8.1 Key trends
  • 8.2 Leisure travelers
  • 8.3 Business travelers
  • 8.4 Entertainment, sports, and event travelers
  • 8.5 Educational travelers
  • 8.6 Others

Chapter 9 Market Estimates & Forecast, By Business Model, 2022 - 2035 ($Bn)

  • 9.1 Key trends
  • 9.2 Commission-based models
  • 9.3 Merchant models
  • 9.4 Advertising & preferred placement revenue
  • 9.5 Subscription and membership models

Chapter 10 Market Estimates & Forecast, By End Use, 2022 - 2035 ($Bn)

  • 10.1 Key trends
  • 10.2 Individual travelers
  • 10.3 Corporate travelers

Chapter 11 Market Estimates & Forecast, By Region, 2022 - 2035 ($Bn)

  • 11.1 Key trends
  • 11.2 North America
    • 11.2.1 U.S.
    • 11.2.2 Canada
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 France
    • 11.3.4 Italy
    • 11.3.5 Spain
    • 11.3.6 Nordics
    • 11.3.7 Russia
    • 11.3.8 Netherlands
  • 11.4 Asia Pacific
    • 11.4.1 China
    • 11.4.2 India
    • 11.4.3 Japan
    • 11.4.4 South Korea
    • 11.4.5 Australia
    • 11.4.6 Singapore
    • 11.4.7 Vietnam
    • 11.4.8 Indonesia
    • 11.4.9 Thailand
  • 11.5 LATAM
    • 11.5.1 Brazil
    • 11.5.2 Mexico
    • 11.5.3 Argentina
  • 11.6 MEA
    • 11.6.1 South Africa
    • 11.6.2 Saudi Arabia
    • 11.6.3 UAE

Chapter 12 Company Profiles

  • 12.1 Global players
    • 12.1.1 Airbnb
    • 12.1.2 Alphabet (Google)
    • 12.1.3 Booking
    • 12.1.4 Expedia
    • 12.1.5 Global Business Travel Group (Amex GBT)
    • 12.1.6 Trip.com
    • 12.1.7 Tripadvisor
    • 12.1.8 Trivago
  • 12.2 Regional players
    • 12.2.1 Despegar
    • 12.2.2 eDreams ODIGEO
    • 12.2.3 Etraveli
    • 12.2.4 Fareportal
    • 12.2.5 Klook
    • 12.2.6 lastminute.com
    • 12.2.7 MakeMyTrip
    • 12.2.8 Tongcheng Travel
  • 12.3 Emerging players
    • 12.3.1 Hopper
    • 12.3.2 Kiwi.com
    • 12.3.3 Navan
    • 12.3.4 Spotnana