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市場調查報告書
商品編碼
2092975

本地活動發現市場預測（2034 年）－按平台類型、設備類型、技術、應用、最終用戶和地區分類的全球分析

Local Activity Discovery Market Forecasts to 2034 - Global Analysis By Platform Type, Device Type, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

全球本地活動發現市場預計到 2026 年將達到 5 億美元，並在預測期內以 13.8% 的複合年成長率成長，到 2034 年將達到 14 億美元。

本地活動發現是指透過數位平台、基於位置的技術和數據驅動系統，識別、組織和呈現特定地理區域內的活動、服務、商家、休閒娛樂機會和本地活動資訊的過程。這使得個人能夠根據自身偏好、當前位置或興趣獲取相關的即時本地資訊。本地活動發現有助於促進社區參與、支持當地經濟發展、提升使用者體驗，並幫助使用者更明智地參與本地活動和服務。

體驗經濟的擴張

在全球範圍內，人們越來越重視體驗而非物質財富，這顯著提升了消費者對能夠發現和預訂本地活動、賽事和獨特體驗的平台的需求。千禧世代和Z世代消費者將支出優先用於旅行、外出用餐、娛樂和社交活動，以創造難忘的瞬間和社群媒體內容。在後疫情時代的復甦階段，隨著消費者尋求彌補隔離和活動限制的損失，對線下體驗的需求進一步成長。在競爭激烈的市場中，餐廳、活動場地和體驗提供者等本地企業越來越依賴數位發現平台來吸引顧客。

與內容新鮮度相關的挑戰

維護準確、全面且最新的本地活動資訊仍然是一項持續存在的營運挑戰，這會影響平台的有效性和使用者信任度。小型企業和活動組織者常常未能及時更新其在Discovery平台上的列表、營業時間和活動信息，導致信息過時，令用戶感到沮喪，並損害平台的信譽。 「長尾」在地活動——小規模社區活動、快閃體驗和非正式聚會——如果沒有專門的內容收集資源，很難進行系統性的分類。用戶生成的內容，例如評論和評分，需要持續的審核和檢驗，因為它們可能被虛假貼文操縱，並且會隨著時間的推移而過時。

人工智慧驅動的個人化進展

人工智慧 (AI) 和機器學習技術使本地活動發現平台能夠提供日益精細化和個人化的建議，根據使用者的個人偏好提案相關的本地體驗。自然語言處理技術使平台能夠理解用戶細微的搜尋查詢和意圖，超越簡單的關鍵字配對。協同過濾演算法能夠根據使用者的行為模式識別相似使用者所喜愛的活動。電腦視覺技術分析本地體驗的圖像和影片，從而實現視覺搜尋和建議功能。即時資料整合，例如天氣、交通狀況和活動狀態等信息，能夠根據當前情況動態調整建議內容。

平台整合的壓力

包括Google、Meta 和蘋果在內的主要科技平台正在將本地活動發現功能整合到其核心產品中，這對獨立發現應用構成了威脅。谷歌地圖和谷歌搜尋已經提供了全面的本地商家資訊、評論和活動，滿足了數十億用戶的基本發現需求。 Meta 將本地活動功能整合到 Facebook 和 Instagram 中，創建了利用現有社交關係網路的發現管道。蘋果的地圖和 Siri 功能在 iOS 裝置上提供原生本地發現功能，無需安裝第三方應用程式。這些整合服務利用了龐大的用戶群、豐富的資料資源和平台級交付優勢，這是獨立發現平台無法比擬的。

新型冠狀病毒（COVID-19）的影響：

新冠疫情對本地活動發現平台造成了毀滅性打擊，封鎖措施破壞了線下體驗的核心提案。活動取消、餐廳關閉和旅行限制大幅降低了用戶參與和平台收入。然而，這場危機加速了先前依賴線下拜訪和傳統行銷的本地企業向數位轉型，擴大了可供線上展示的商家數量。疫情後，受「報復性旅行」激增和人們對社交體驗的壓抑需求的推動，本地活動平台的用戶參與度達到了前所未有的水平。

在預測期內，事件發現平台細分市場預計將佔據最大的市場佔有率。

預計在預測期內，活動發現平台細分市場將佔據最大的市場佔有率，這主要得益於活動對所有人口統計群體都具有普遍吸引力，以及消費者對娛樂、社交和文化活動的頻繁需求。活動透過門票銷售產生即時收入，為支持活動發現和預訂的平台創造了強大的盈利機會。活動的時效性促使用戶持續參與，因為消費者會定期搜尋即將舉行的活動。活動平台聚合了各種內容，包括音樂會、節慶、體育賽事、本地活動和商務社交活動，從而滿足了用戶廣泛的興趣。

在預測期內，智慧型手機細分市場預計將呈現最高的複合年成長率。

在預測期內，智慧型手機細分市場預計將呈現最高的成長率，這主要得益於行動裝置作為發現本地活動的主要介面而日益普及，以及行動功能不斷改進，從而提升了用戶的發現體驗。智慧型手機將GPS定位服務、推播通知、相機功能和行動支付功能整合於一體，使用戶能夠從發現活動到參與活動，實現無縫銜接。行動優先的設計概念優先考慮針對拇指操作、離線功能和快速載入速度進行最佳化的介面，以滿足使用者隨時隨地的使用習慣。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其智慧型手機普及率高、數位廣告市場成熟以及本地企業廣泛數位化，從而支撐了全面的平台內容。美國擁有全球最大的本地企業、活動場地和體驗提供者生態系統，這些企業維護數位化清單並接受線上預訂，因此處於領先地位。加拿大擁有較高的行動端用戶參與度和高密度的本地企業，這為平台的永續發展提供了永續性。在墨西哥，都市區中產階級的壯大和旅遊業的蓬勃發展，催生了人們對探索主要城市本地活動的需求。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於智慧型手機在中國、印度和東南亞的快速普及、都市區中產階級的壯大以及政府主導的旅遊推廣舉措。中國龐大的行動用戶群和超級應用生態系統為在微信和美團等平台上整合在地活動發現功能創造了獨特的機會。在印度，持續的都市化和年輕化的人口結構正在推動人們對本地娛樂、餐飲和社交體驗的需求。包括泰國、印尼和越南在內的東南亞國家正在投資旅遊基礎設施，並推廣需要數位發現平台的在地體驗。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
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    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
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    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球本地活動發現市場：依平台類型分類

  • 事件發現平台
  • 本地商家發現平台
  • 體驗發現平台
  • 社區活動平台
  • 旅遊活動平台
  • 本地發現應用程式
  • 社群建議平台

第6章：全球本地活動發現市場：依設備類型分類

  • 智慧型手機
  • 藥片
  • 筆記型電腦和桌上型電腦
  • 智慧型穿戴裝置
  • 智慧顯示器
  • 連網型設備

第7章 全球本地活動發現市場：依技術分類

  • 人工智慧
  • 定位服務
  • 地理空間分析
  • 雲端運算
  • 巨量資料分析
  • 建議引擎
  • 行動技術

第8章：全球本地活動發現市場：按應用分類

  • 事件發現
  • 餐廳探索
  • 娛樂探索
  • 觀光活動
  • 健身和健康活動
  • 購物探索
  • 社區活動

第9章：全球本地活動發現市場：以最終用戶分類

  • 個人消費者
  • 當地公司
  • 活動主辦者
  • 旅行社
  • 飯店業
  • 地方政府
  • 社區組織

第10章：全球本地活動發現市場：依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • Google LLC
  • Meta Platforms, Inc.
  • Yelp Inc.
  • Eventbrite, Inc.
  • Tripadvisor, Inc.
  • Airbnb, Inc.
  • Meetup LLC
  • Foursquare Labs, Inc.
  • OpenTable, Inc.
  • Uber Technologies, Inc.
  • Booking Holdings Inc.
  • Expedia Group, Inc.
  • Microsoft Corporation
  • Apple Inc.
  • Tencent Holdings Ltd.
  • Kakao Corporation
  • Naver Corporation
Product Code: SMRC38144

According to Stratistics MRC, the Global Local Activity Discovery Market is accounted for $0.5 billion in 2026 and is expected to reach $1.4 billion by 2034 growing at a CAGR of 13.8% during the forecast period. Local Activity Discovery is the process of identifying, organizing, and presenting information about events, services, businesses, recreational opportunities, and community activities within a specific geographic area through digital platforms, location-based technologies, and data-driven systems. It enables individuals to access relevant, real-time local opportunities based on their preferences, location, or interests. Local activity discovery improves community engagement, supports local economies, enhances user experiences, and facilitates informed participation in regional activities and services.

Market Dynamics:

Driver:

Experience economy expansion

The global shift toward valuing experiences over material possessions is driving substantial demand for platforms that help consumers discover and book local activities, events, and unique experiences. Millennials and Generation Z consumers prioritize spending on travel, dining, entertainment, and social activities that create memorable moments and social media content. The post-pandemic recovery has intensified demand for in-person experiences as consumers seek to compensate for periods of isolation and restricted activity. Local businesses, including restaurants, event venues, and experience providers, are increasingly dependent on digital discovery platforms to attract customers in competitive markets.

Restraint:

Content freshness challenges

Maintaining accurate, comprehensive, and current information about local activities presents persistent operational challenges that constrain platform effectiveness and user trust. Small businesses and event organizers frequently fail to update their listings, hours, and offerings on discovery platforms, leading to outdated information that frustrates users and damages platform credibility. The long tail of local activities, including small community events, pop-up experiences, and informal gatherings, is difficult to catalog systematically without dedicated content acquisition resources. User-generated content, including reviews and ratings, can be manipulated through fake submissions or become stale over time, requiring continuous moderation and verification.

Opportunity:

AI personalization advances

Artificial intelligence and machine learning technologies are enabling local activity discovery platforms to deliver increasingly sophisticated personalized recommendations that match individual user preferences with relevant local experiences. Natural language processing enables platforms to understand nuanced user queries and intent beyond simple keyword matching. Collaborative filtering algorithms identify patterns across user behavior to surface activities that similar users have enjoyed. Computer vision technologies analyze images and videos of local experiences to enable visual search and recommendation capabilities. Real-time data integration with weather, traffic, and event status information enables dynamic recommendation adjustments that account for current conditions.

Threat:

Platform consolidation pressure

Major technology platforms, including Google, Meta, and Apple, are integrating local activity discovery features into their core products, threatening the viability of standalone discovery applications. Google Maps and Search already provide comprehensive local business information, reviews, and event listings that satisfy basic discovery needs for billions of users. Meta's integration of local event features into Facebook and Instagram creates discovery channels that leverage existing social graphs. Apple's Maps and Siri capabilities provide native local discovery on iOS devices without requiring third-party app installation. These integrated offerings benefit from massive user bases, extensive data resources, and platform-level distribution advantages that independent discovery platforms cannot match.

Covid-19 Impact:

The COVID-19 pandemic devastated local activity discovery platforms as lockdowns eliminated the in-person experiences that form the core of their value proposition. Event cancellations, restaurant closures, and travel restrictions caused dramatic drops in user engagement and platform revenue. However, the crisis also accelerated digital adoption among local businesses that previously relied on foot traffic and traditional marketing, expanding the population of digitally listable venues. Post-pandemic, the surge in revenge travel and pent-up demand for social experiences has created unprecedented user engagement with local activity platforms.

The event discovery platforms segment is expected to be the largest during the forecast period

The event discovery platforms segment is expected to account for the largest market share during the forecast period, due to the universal appeal of events across demographic segments and the high frequency with which consumers seek entertainment, social, and cultural activities. Events generate immediate revenue through ticket sales, creating strong monetization opportunities for platforms that facilitate discovery and booking. The time-sensitive nature of events creates recurring user engagement as consumers regularly search for upcoming activities. Event platforms aggregate diverse content, including concerts, festivals, sports, community gatherings, and professional networking events, creating a broad appeal that spans user interests.

The smartphones segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the smartphones segment is predicted to witness the highest growth rate, driven by the ubiquity of mobile devices as the primary interface for local activity discovery and the continuous improvement of mobile capabilities that enhance discovery experiences. Smartphones combine GPS location services, push notifications, camera functionality, and mobile payment capabilities in a single device that enables seamless discovery-to-participation user journeys. Mobile-first design approaches prioritize thumb-friendly interfaces, offline functionality, and quick loading times that accommodate on-the-go usage patterns.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to high smartphone penetration, mature digital advertising markets, and extensive local business digitization that supports comprehensive platform content. The United States leads with the world's largest ecosystem of local businesses, event venues, and experience providers that maintain digital listings and accept online bookings. Canada maintains high mobile engagement and local business density that supports platform viability. Mexico's growing urban middle class and tourism industry create demand for local activity discovery in major cities.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid smartphone adoption, expanding urban middle classes, and government tourism promotion initiatives across China, India, and Southeast Asia. China's massive mobile user base and super-app ecosystem create unique opportunities for integrated local activity discovery within platforms like WeChat and Meituan. India's growing urbanization and young demographic are driving demand for local entertainment, dining, and social experiences. Southeast Asian nations, including Thailand, Indonesia, and Vietnam, are investing in tourism infrastructure and local experience promotion that requires digital discovery platforms.

Key players in the market

Some of the key players in Local Activity Discovery Market include Google LLC, Meta Platforms, Inc., Yelp Inc., Eventbrite, Inc., Tripadvisor, Inc., Airbnb, Inc., Meetup LLC, Foursquare Labs, Inc., OpenTable, Inc., Uber Technologies, Inc., Booking Holdings Inc., Expedia Group, Inc., Microsoft Corporation, Apple Inc., Tencent Holdings Ltd., Kakao Corporation and Naver Corporation.

Key Developments:

In June 2026, Google LLC launched an AI-powered local experience recommendation engine integrating real-time event data, weather conditions, and user preferences for personalized activity suggestions.

In May 2026, Airbnb, Inc. expanded its local experiences platform to include community-led activities and neighborhood tours in over five hundred additional cities worldwide.

In April 2026, Yelp Inc. introduced an enhanced event discovery feature allowing local businesses to promote in-store events, workshops, and special experiences directly to nearby users.

Platform Types Covered:

  • Event Discovery Platforms
  • Local Business Discovery Platforms
  • Experience Discovery Platforms
  • Community Activity Platforms
  • Travel Activity Platforms
  • Hyperlocal Discovery Applications
  • Social Recommendation Platforms

Device Types Covered:

  • Smartphones
  • Tablets
  • Laptops & Desktops
  • Smart Wearables
  • Smart Displays
  • Connected Devices

Technologies Covered:

  • Artificial Intelligence
  • Location-Based Services
  • Geospatial Analytics
  • Cloud Computing
  • Big Data Analytics
  • Recommendation Engines
  • Mobile Technologies

Applications Covered:

  • Event Discovery
  • Restaurant Discovery
  • Entertainment Discovery
  • Tourism Activities
  • Fitness & Wellness Activities
  • Shopping Discovery
  • Community Events

End Users Covered:

  • Individual Consumers
  • Local Businesses
  • Event Organizers
  • Tourism Agencies
  • Hospitality Providers
  • Municipal Authorities
  • Community Organizations

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Local Activity Discovery Market, By Platform Type

  • 5.1 Event Discovery Platforms
  • 5.2 Local Business Discovery Platforms
  • 5.3 Experience Discovery Platforms
  • 5.4 Community Activity Platforms
  • 5.5 Travel Activity Platforms
  • 5.6 Hyperlocal Discovery Applications
  • 5.7 Social Recommendation Platforms

6 Global Local Activity Discovery Market, By Device Type

  • 6.1 Smartphones
  • 6.2 Tablets
  • 6.3 Laptops & Desktops
  • 6.4 Smart Wearables
  • 6.5 Smart Displays
  • 6.6 Connected Devices

7 Global Local Activity Discovery Market, By Technology

  • 7.1 Artificial Intelligence
  • 7.2 Location-Based Services
  • 7.3 Geospatial Analytics
  • 7.4 Cloud Computing
  • 7.5 Big Data Analytics
  • 7.6 Recommendation Engines
  • 7.7 Mobile Technologies

8 Global Local Activity Discovery Market, By Application

  • 8.1 Event Discovery
  • 8.2 Restaurant Discovery
  • 8.3 Entertainment Discovery
  • 8.4 Tourism Activities
  • 8.5 Fitness & Wellness Activities
  • 8.6 Shopping Discovery
  • 8.7 Community Events

9 Global Local Activity Discovery Market, By End User

  • 9.1 Individual Consumers
  • 9.2 Local Businesses
  • 9.3 Event Organizers
  • 9.4 Tourism Agencies
  • 9.5 Hospitality Providers
  • 9.6 Municipal Authorities
  • 9.7 Community Organizations

10 Global Local Activity Discovery Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Google LLC
  • 13.2 Meta Platforms, Inc.
  • 13.3 Yelp Inc.
  • 13.4 Eventbrite, Inc.
  • 13.5 Tripadvisor, Inc.
  • 13.6 Airbnb, Inc.
  • 13.7 Meetup LLC
  • 13.8 Foursquare Labs, Inc.
  • 13.9 OpenTable, Inc.
  • 13.10 Uber Technologies, Inc.
  • 13.11 Booking Holdings Inc.
  • 13.12 Expedia Group, Inc.
  • 13.13 Microsoft Corporation
  • 13.14 Apple Inc.
  • 13.15 Tencent Holdings Ltd.
  • 13.16 Kakao Corporation
  • 13.17 Naver Corporation

List of Tables

  • Table 1 Global Local Activity Discovery Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Local Activity Discovery Market Outlook, By Platform Type (2023-2034) ($MN)
  • Table 3 Global Local Activity Discovery Market Outlook, By Event Discovery Platforms (2023-2034) ($MN)
  • Table 4 Global Local Activity Discovery Market Outlook, By Local Business Discovery Platforms (2023-2034) ($MN)
  • Table 5 Global Local Activity Discovery Market Outlook, By Experience Discovery Platforms (2023-2034) ($MN)
  • Table 6 Global Local Activity Discovery Market Outlook, By Community Activity Platforms (2023-2034) ($MN)
  • Table 7 Global Local Activity Discovery Market Outlook, By Travel Activity Platforms (2023-2034) ($MN)
  • Table 8 Global Local Activity Discovery Market Outlook, By Hyperlocal Discovery Applications (2023-2034) ($MN)
  • Table 9 Global Local Activity Discovery Market Outlook, By Social Recommendation Platforms (2023-2034) ($MN)
  • Table 10 Global Local Activity Discovery Market Outlook, By Device Type (2023-2034) ($MN)
  • Table 11 Global Local Activity Discovery Market Outlook, By Smartphones (2023-2034) ($MN)
  • Table 12 Global Local Activity Discovery Market Outlook, By Tablets (2023-2034) ($MN)
  • Table 13 Global Local Activity Discovery Market Outlook, By Laptops & Desktops (2023-2034) ($MN)
  • Table 14 Global Local Activity Discovery Market Outlook, By Smart Wearables (2023-2034) ($MN)
  • Table 15 Global Local Activity Discovery Market Outlook, By Smart Displays (2023-2034) ($MN)
  • Table 16 Global Local Activity Discovery Market Outlook, By Connected Devices (2023-2034) ($MN)
  • Table 17 Global Local Activity Discovery Market Outlook, By Technology (2023-2034) ($MN)
  • Table 18 Global Local Activity Discovery Market Outlook, By Artificial Intelligence (2023-2034) ($MN)
  • Table 19 Global Local Activity Discovery Market Outlook, By Location-Based Services (2023-2034) ($MN)
  • Table 20 Global Local Activity Discovery Market Outlook, By Geospatial Analytics (2023-2034) ($MN)
  • Table 21 Global Local Activity Discovery Market Outlook, By Cloud Computing (2023-2034) ($MN)
  • Table 22 Global Local Activity Discovery Market Outlook, By Big Data Analytics (2023-2034) ($MN)
  • Table 23 Global Local Activity Discovery Market Outlook, By Recommendation Engines (2023-2034) ($MN)
  • Table 24 Global Local Activity Discovery Market Outlook, By Mobile Technologies (2023-2034) ($MN)
  • Table 25 Global Local Activity Discovery Market Outlook, By Application (2023-2034) ($MN)
  • Table 26 Global Local Activity Discovery Market Outlook, By Event Discovery (2023-2034) ($MN)
  • Table 27 Global Local Activity Discovery Market Outlook, By Restaurant Discovery (2023-2034) ($MN)
  • Table 28 Global Local Activity Discovery Market Outlook, By Entertainment Discovery (2023-2034) ($MN)
  • Table 29 Global Local Activity Discovery Market Outlook, By Tourism Activities (2023-2034) ($MN)
  • Table 30 Global Local Activity Discovery Market Outlook, By Fitness & Wellness Activities (2023-2034) ($MN)
  • Table 31 Global Local Activity Discovery Market Outlook, By Shopping Discovery (2023-2034) ($MN)
  • Table 32 Global Local Activity Discovery Market Outlook, By Community Events (2023-2034) ($MN)
  • Table 33 Global Local Activity Discovery Market Outlook, By End User (2023-2034) ($MN)
  • Table 34 Global Local Activity Discovery Market Outlook, By Individual Consumers (2023-2034) ($MN)
  • Table 35 Global Local Activity Discovery Market Outlook, By Local Businesses (2023-2034) ($MN)
  • Table 36 Global Local Activity Discovery Market Outlook, By Event Organizers (2023-2034) ($MN)
  • Table 37 Global Local Activity Discovery Market Outlook, By Tourism Agencies (2023-2034) ($MN)
  • Table 38 Global Local Activity Discovery Market Outlook, By Hospitality Providers (2023-2034) ($MN)
  • Table 39 Global Local Activity Discovery Market Outlook, By Municipal Authorities (2023-2034) ($MN)
  • Table 40 Global Local Activity Discovery Market Outlook, By Community Organizations (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.