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バーチャルツーリズムの世界市場（～2035年）：製品タイプ別、デバイスタイプ別、応用分野別、ツアータイプ別、直接サプライヤー別、間接サプライヤー別、企業規模別、主要地域別、産業動向、予測

Virtual Tourism Market till 2035: Distribution by Type of Product, Device, Areas of Application, Type of Tours, Direct Suppliers, Type of Indirect Suppliers, Company Size, and Key Geographical Regions: Industry Trends and Global Forecasts

出版日
ページ情報
英文 168 Pages
納期
2～10営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=149.25円
バーチャルツーリズムの世界市場（～2035年）：製品タイプ別、デバイスタイプ別、応用分野別、ツアータイプ別、直接サプライヤー別、間接サプライヤー別、企業規模別、主要地域別、産業動向、予測
出版日: 2025年09月03日
発行: Roots Analysis
ページ情報: 英文 168 Pages
納期: 2～10営業日
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  • 概要
  • 目次
概要

世界のバーチャルツーリズムの市場規模は、現在の45億1,000万米ドルから2035年までに456億5,000万米ドルに達すると予測され、2035年までの予測期間にCAGRで23.41%の成長が見込まれます。

Virtual Tourism Market-IMG1

バーチャルツーリズム市場：成長と動向

VRの成長に伴い、バーチャルツアーは、一連のパノラマ画像を組み合わせることでその地域のバーチャルな表現となり、場所、活動、または現地の没入感のある体験を提供します。バーチャルツアーを提供するアプリケーションは、不動産、自動車、観光名所などの視察に広く使われています。これらのアプリケーションは、画像、音声、ビデオクリップ、3Dマップを利用して、その場所の360度の全体像を作成します。現在、バーチャルツアーは、文化的施設からタイの島々のような自然美のスポットまで、数多くのエキゾチックな場所で利用できます。

環境問題に対する意識の高まりは、従来の旅行に代わる環境にやさしい旅行として、バーチャルツーリズム市場を後押しする重要な役割を果たしています。この産業における顕著な動向は、バーチャルツーリズムによって可能になるカーボンフットプリントの削減であり、これによって航空券や道路移動、大規模な観光インフラが不要になります。バーチャルツーリズムは、人気の観光地を発見する機会を人々に提供しながら、旅行による環境への影響を軽減するのに役立っています。

また、バーチャルツーリズムは多様な身体的障害や経済的事情を持つ人々にも対応し、旅行をより身近なものにします。VRヘッドセットは多くの人々にとって贅沢品と考えられていますが、技術が発達するにつれて、より手頃な価格になることが予測されます。以上の要因から、バーチャルツーリズム市場は予測期間に大きく成長する見込みです。

当レポートでは、世界のバーチャルツーリズム市場について調査分析し、市場規模の推計と機会の分析、競合情勢、企業プロファイル、メガトレンドなどの情報を提供しています。

目次

セクション1 レポートの概要

第1章 序文

第2章 調査手法

第3章 市場力学

第4章 マクロ経済指標

セクション2 定性的な知見

第5章 エグゼクティブサマリー

第6章 イントロダクション

第7章 規制シナリオ

セクション3 市場の概要

第8章 主要企業の包括的なデータベース

第9章 競合情勢

第10章 ホワイトスペースの分析

第11章 企業の競争力の分析

第12章 バーチャルツーリズム市場におけるスタートアップエコシステム

セクション4 企業プロファイル

第13章 企業プロファイル

  • 章の概要
  • 360 Cities
  • 360 Imagery
  • 360 Pano VR Solutions
  • Airbnb
  • Ascape VR
  • Blue Raven
  • Comp11
  • Concept 3D
  • Dubai 360
  • Exsight 360
  • Expedia Group
  • First Airlines
  • Google Earth VR
  • Google
  • Invision Studio
  • Klapty
  • Kuula
  • Matterport

セクション5 市場動向

第14章 メガトレンドの分析

第15章 アンメットニーズの分析

第16章 特許の分析

第17章 近年の発展

セクション6 市場機会の分析

第18章 世界のバーチャルツーリズム市場

第19章 市場機会：製品タイプ別

第20章 市場機会：デバイスタイプ別

第21章 市場機会：応用分野別

第22章 市場機会：ツアータイプ別

第23章 市場機会：直接サプライヤータイプ別

第24章 市場機会：間接サプライヤータイプ別

第25章 北米のバーチャルツーリズム市場の機会

第26章 欧州のバーチャルツーリズム市場の機会

第27章 アジアのバーチャルツーリズム市場の機会

第28章 中東・北アフリカ（MENA）のバーチャルツーリズム市場の機会

第29章 ラテンアメリカのバーチャルツーリズム市場の機会

第30章 その他の地域のバーチャルツーリズム市場の機会

第31章 市場集中の分析：主要企業別

第32章 隣接市場の分析

セクション7 戦略的ツール

第33章 勝利の鍵となる戦略

第34章 ポーターのファイブフォース分析

第35章 SWOTの分析

第36章 バリューチェーンの分析

第37章 Rootsの戦略的提言

セクション8 その他の独占的知見

第38章 1次調査からの知見

第39章 レポートの結論

セクション9 付録

目次
Product Code: RAICT300306

Virtual Tourism Market Overview

As per Roots Analysis, the global virtual tourism market size is estimated to grow from USD 4.51 billion in the current year to USD 45.65 billion by 2035, at a CAGR of 23.41% during the forecast period, till 2035.

Virtual Tourism Market - IMG1

The opportunity for virtual tourism market has been distributed across the following segments:

Type of Product

  • Cloud Based
  • Web Based

Type of Device

  • Head Mounted
  • Gesture Tracking

Areas of Application

  • Art Galleries & Museums
  • Automotive
  • Education
  • Marketing Professionals
  • Real Estate Professionals
  • Tourism Industries

Type of Tours

  • 360-degree virtual tours
  • 3D Virtual Tours
  • Virtual Reality Tours

Type of Direct Suppliers

  • Airlines
  • Government Bodies
  • Hotel Campaigns
  • Tour Operators

Type of Indirect Suppliers

  • Aggregators
  • Corporate Buyers
  • Online Travel Agency
  • Traditional Travel Agencies
  • Travel Management Companies

Company Size

  • Large Enterprises
  • Small and Medium Enterprises

Geographical Regions

  • North America
  • US
  • Canada
  • Mexico
  • Other North American countries
  • Europe
  • Austria
  • Belgium
  • Denmark
  • France
  • Germany
  • Ireland
  • Italy
  • Netherlands
  • Norway
  • Russia
  • Spain
  • Sweden
  • Switzerland
  • UK
  • Other European countries
  • Asia
  • China
  • India
  • Japan
  • Singapore
  • South Korea
  • Other Asian countries
  • Latin America
  • Brazil
  • Chile
  • Colombia
  • Venezuela
  • Other Latin American countries
  • Middle East and North Africa
  • Egypt
  • Iran
  • Iraq
  • Israel
  • Kuwait
  • Saudi Arabia
  • UAE
  • Other MENA countries
  • Rest of the World
  • Australia
  • New Zealand
  • Other countries

Virtual Tourism Market: Growth and Trends

With the rise of virtual reality, virtual tours provide an immersive experience of a place, activity, or destination through a series of panoramic images that are combined, resulting in a virtual representation of an area. Applications that offer virtual tours are widely used for viewing properties, vehicles, tourist attractions, and more. These applications utilize images, audio, video clips, and 3D maps to create a 360-degree perspective of the location. Currently, virtual tours are accessible for numerous exotic sites, from cultural institutions to natural beauty spots such as the islands of Thailand.

The growing awareness of environmental issues plays a significant role in boosting the virtual tourism market, as it serves as an eco-friendly substitute for traditional travel. A prominent trend within this industry is the reduction of carbon footprints enabled by virtual tourism, which eliminates the need for flights, road travel, and extensive tourism infrastructure. Virtual tourism helps lessen the environmental effects of travel while still offering individuals the chance to discover popular destinations.

It also makes travel more accessible, catering to individuals with diverse physical disabilities and financial circumstances. Although VR headsets are considered extravagant for most people, they are expected to become more affordable as the technology develops. Owing to the above mentioned factors, the virtual tourism market is expected to experience significant growth during the forecast period.

Virtual Tourism Market: Key Segments

Market Share by Type of Service

Based on type of service, the global virtual tourism market is segmented into cloud based and web based. According to our estimates, currently, the cloud based segment captures the majority share of the market. This is due to the benefits of cloud based systems, such as real-time updates, increased efficiency, flexible pricing options, improved collaboration, and easy data recovery.

Conversely, the web-based segment is expected to grow at a relatively higher CAGR during the forecast period. This surge can be attributed to the segment's cost-effectiveness and its ability to meet the increasing demand for interactive experiences.

Market Share by Type of Device

Based on type of device, the virtual tourism market is segmented into head mounted and gesture tracking. According to our estimates, currently, the head mounted devices capture the majority of the market. This can be attributed to the widespread recognition of head-mounted devices as the most iconic element of virtual reality. Since visuals are more engaging for humans, HMDs are commonly favored for their capacity to distinguish immersive virtual reality systems from typical user interfaces.

Market Share by Areas of Application

Based on areas of application, the virtual tourism market is segmented into art galleries & museums, automotive, education, marketing professionals, real estate professionals, tourism industries. According to our estimates, currently, tourism industry captures the majority share of the market. This growth can be attributed to the increasing adoption of VR technologies, which make global destinations accessible to a wider audience that may otherwise face financial or logistical barriers to travel.

However, the real estate segment is expected to grow at a higher CAGR during the forecast period, due to the growing demand from home buyers for virtual property tours, enabling online property listings to be more immersive and accessible.

Market Share by Type of Tours

Based on type of tours, the virtual tourism market is segmented into 360 degree virtual tours, 3D virtual tours, and virtual reality tours. According to our estimates, currently, 3D virtual tours segment captures the majority share of the market. This growth can be attributed to the immersive experience these tours offer, allowing users to explore destinations from the comfort of their homes through detailed 360-degree views and interactive features

However, the virtual reality tours segment is expected to grow at a higher CAGR during the forecast period, driven by the unique and engaging experiences VR technology offers to users.

Market Share by Type of Direct Suppliers

Based on type of direct suppliers, the virtual tourism market is segmented into airlines, government bodies, hotel campaigns, and tour operators. According to our estimates, currently, the tour operators captures the majority share of the market. This growth can be attributed to the significant role that tour operators play in delivering virtual travel experiences and promoting destinations through digital platforms

However, the airlines segment is expected to grow at a higher CAGR during the forecast period, driven by growing investments in virtual tourism technologies aimed at boosting customer engagement and offering immersive pre-travel experiences.

Market Share by Type of Indirect Suppliers

Based on type of indirect suppliers, the virtual tourism market is segmented into aggregators, corporate buyers, online travel agency, traditional travel agencies, travel management companies. According to our estimates, currently, the online travel agency segment captures the majority share of the market, owing to their vital role in distributing virtual tourism experiences and expanding their influence in the market

However, the aggregators segment is expected to grow at a higher CAGR during the forecast period, due to its ability to compile a wide range of virtual tour options, offering consumers greater variety, convenience, and accessibility.

Market Share by Company Size

Based on company size, the virtual tourism market is segmented into large and small and medium enterprises. According to our estimates, currently, the large enterprise segment captures the majority share of the market. However, the small & medium enterprises are expected to grow at a higher CAGR during the forecast period. This accelerated growth can be attributed to their flexibility, innovative approaches, targeted focus on niche markets, and adaptability to evolving customer preferences and market dynamics.

Market Share by Geographical Regions

Based on geographical regions, the virtual tourism market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and the rest of the world. According to our estimates, currently, North America captures the majority share of the market, driven by its advanced technological infrastructure, widespread adoption of cutting-edge AI technologies, and substantial investments in virtual tourism from major industry players.

The presence of prominent technology companies and AI innovators fuels ongoing advancements and new developments within the virtual tourism space. Additionally, the emphasis on integrating AI into sectors like VR travel, real estate, and education further accelerates the market growth in this region.

Example Players in Virtual Tourism Market

  • 360 Cities
  • 360 Imagery
  • 360 Pano VR Solutions
  • Airbnb
  • Ascape VR
  • Blue Raven
  • Comp11
  • Concept3D
  • Dubai 360
  • Exsight 360
  • Expedia Group
  • First Airlines
  • Google Earth VR
  • Google
  • Invision Studio
  • Klapty
  • Kuula
  • Matterport
  • MI 360
  • Pan 3Sixty
  • RealTourVision
  • Roundme
  • SeekBeak
  • Starts360
  • TourVista
  • TripAdvisor
  • Unimersiv
  • Visit Wales
  • VeeR VR
  • Wanderlust VR
  • YouVisit

Virtual Tourism Market: Research Coverage

The report on the virtual tourism market features insights on various sections, including:

  • Market Sizing and Opportunity Analysis: An in-depth analysis of the virtual tourism market, focusing on key market segments, including [A] type of product, [B] type of device, [C] areas of application, [D] type of tours, [E] type of direct suppliers, [F] type of indirect suppliers, [G] company size, and [H] key geographical regions.
  • Competitive Landscape: A comprehensive analysis of the companies engaged in the virtual tourism market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters and [D] ownership structure.
  • Company Profiles: Elaborate profiles of prominent players engaged in the virtual tourism market, providing details on [A] location of headquarters, [B] company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] virtual tourism portfolio, [J] moat analysis, [K] recent developments, and an informed future outlook.
  • Megatrends: An evaluation of ongoing megatrends in virtual tourism industry.
  • Patent Analysis: An insightful analysis of patents filed / granted in the virtual tourism domain, based on relevant parameters, including [A] type of patent, [B] patent publication year, [C] patent age and [D] leading players.
  • Recent Developments: An overview of the recent developments made in the virtual tourism market, along with analysis based on relevant parameters, including [A] year of initiative, [B] type of initiative, [C] geographical distribution and [D] most active players.
  • Porter's Five Forces Analysis: An analysis of five competitive forces prevailing in the virtual tourism market, including threats of new entrants, bargaining power of buyers, bargaining power of suppliers, threats of substitute products and rivalry among existing competitors.
  • SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.
  • Value Chain Analysis: A comprehensive analysis of the value chain, providing information on the different phases and stakeholders involved in the virtual tourism market

Key Questions Answered in this Report

  • How many companies are currently engaged in virtual tourism market?
  • Which are the leading companies in this market?
  • What factors are likely to influence the evolution of this market?
  • What is the current and future market size?
  • What is the CAGR of this market?
  • How is the current and future market opportunity likely to be distributed across key market segments?

Reasons to Buy this Report

  • The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
  • Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
  • The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.

Additional Benefits

  • Complimentary Excel Data Packs for all Analytical Modules in the Report
  • 15% Free Content Customization
  • Detailed Report Walkthrough Session with Research Team
  • Free Updated report if the report is 6-12 months old or older

TABLE OF CONTENTS

SECTION I: REPORT OVERVIEW

1. PREFACE

  • 1.1. Introduction
  • 1.2. Market Share Insights
  • 1.3. Key Market Insights
  • 1.4. Report Coverage
  • 1.5. Key Questions Answered
  • 1.6. Chapter Outlines

2. RESEARCH METHODOLOGY

  • 2.1. Chapter Overview
  • 2.2. Research Assumptions
  • 2.3. Database Building
    • 2.3.1. Data Collection
    • 2.3.2. Data Validation
    • 2.3.3. Data Analysis
  • 2.4. Project Methodology
    • 2.4.1. Secondary Research
      • 2.4.1.1. Annual Reports
      • 2.4.1.2. Academic Research Papers
      • 2.4.1.3. Company Websites
      • 2.4.1.4. Investor Presentations
      • 2.4.1.5. Regulatory Filings
      • 2.4.1.6. White Papers
      • 2.4.1.7. Industry Publications
      • 2.4.1.8. Conferences and Seminars
      • 2.4.1.9. Government Portals
      • 2.4.1.10. Media and Press Releases
      • 2.4.1.11. Newsletters
      • 2.4.1.12. Industry Databases
      • 2.4.1.13. Roots Proprietary Databases
      • 2.4.1.14. Paid Databases and Sources
      • 2.4.1.15. Social Media Portals
      • 2.4.1.16. Other Secondary Sources
    • 2.4.2. Primary Research
      • 2.4.2.1. Introduction
      • 2.4.2.2. Types
        • 2.4.2.2.1. Qualitative
        • 2.4.2.2.2. Quantitative
      • 2.4.2.3. Advantages
      • 2.4.2.4. Techniques
        • 2.4.2.4.1. Interviews
        • 2.4.2.4.2. Surveys
        • 2.4.2.4.3. Focus Groups
        • 2.4.2.4.4. Observational Research
        • 2.4.2.4.5. Social Media Interactions
      • 2.4.2.5. Stakeholders
        • 2.4.2.5.1. Company Executives (CXOs)
        • 2.4.2.5.2. Board of Directors
        • 2.4.2.5.3. Company Presidents and Vice Presidents
        • 2.4.2.5.4. Key Opinion Leaders
        • 2.4.2.5.5. Research and Development Heads
        • 2.4.2.5.6. Technical Experts
        • 2.4.2.5.7. Subject Matter Experts
        • 2.4.2.5.8. Scientists
        • 2.4.2.5.9. Doctors and Other Healthcare Providers
      • 2.4.2.6. Ethics and Integrity
        • 2.4.2.6.1. Research Ethics
        • 2.4.2.6.2. Data Integrity
    • 2.4.3. Analytical Tools and Databases

3. MARKET DYNAMICS

  • 3.1. Forecast Methodology
    • 3.1.1. Top-Down Approach
    • 3.1.2. Bottom-Up Approach
    • 3.1.3. Hybrid Approach
  • 3.2. Market Assessment Framework
    • 3.2.1. Total Addressable Market (TAM)
    • 3.2.2. Serviceable Addressable Market (SAM)
    • 3.2.3. Serviceable Obtainable Market (SOM)
    • 3.2.4. Currently Acquired Market (CAM)
  • 3.3. Forecasting Tools and Techniques
    • 3.3.1. Qualitative Forecasting
    • 3.3.2. Correlation
    • 3.3.3. Regression
    • 3.3.4. Time Series Analysis
    • 3.3.5. Extrapolation
    • 3.3.6. Convergence
    • 3.3.7. Forecast Error Analysis
    • 3.3.8. Data Visualization
    • 3.3.9. Scenario Planning
    • 3.3.10. Sensitivity Analysis
  • 3.4. Key Considerations
    • 3.4.1. Demographics
    • 3.4.2. Market Access
    • 3.4.3. Reimbursement Scenarios
    • 3.4.4. Industry Consolidation
  • 3.5. Robust Quality Control
  • 3.6. Key Market Segmentations
  • 3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

  • 4.1. Chapter Overview
  • 4.2. Market Dynamics
    • 4.2.1. Time Period
      • 4.2.1.1. Historical Trends
      • 4.2.1.2. Current and Forecasted Estimates
    • 4.2.2. Currency Coverage
      • 4.2.2.1. Overview of Major Currencies Affecting the Market
      • 4.2.2.2. Impact of Currency Fluctuations on the Industry
    • 4.2.3. Foreign Exchange Impact
      • 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
      • 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
    • 4.2.4. Recession
      • 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
      • 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
    • 4.2.5. Inflation
      • 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
      • 4.2.5.2. Potential Impact of Inflation on the Market Evolution
    • 4.2.6. Interest Rates
      • 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
      • 4.2.6.2. Strategies for Managing Interest Rate Risk
    • 4.2.7. Commodity Flow Analysis
      • 4.2.7.1. Type of Commodity
      • 4.2.7.2. Origins and Destinations
      • 4.2.7.3. Values and Weights
      • 4.2.7.4. Modes of Transportation
    • 4.2.8. Global Trade Dynamics
      • 4.2.8.1. Import Scenario
      • 4.2.8.2. Export Scenario
    • 4.2.9. War Impact Analysis
      • 4.2.9.1. Russian-Ukraine War
      • 4.2.9.2. Israel-Hamas War
    • 4.2.10. COVID Impact / Related Factors
      • 4.2.10.1. Global Economic Impact
      • 4.2.10.2. Industry-specific Impact
      • 4.2.10.3. Government Response and Stimulus Measures
      • 4.2.10.4. Future Outlook and Adaptation Strategies
    • 4.2.11. Other Indicators
      • 4.2.11.1. Fiscal Policy
      • 4.2.11.2. Consumer Spending
      • 4.2.11.3. Gross Domestic Product (GDP)
      • 4.2.11.4. Employment
      • 4.2.11.5. Taxes
      • 4.2.11.6. R&D Innovation
      • 4.2.11.7. Stock Market Performance
      • 4.2.11.8. Supply Chain
      • 4.2.11.9. Cross-Border Dynamics

SECTION II: QUALITATIVE INSIGHTS

5. EXECUTIVE SUMMARY

6. INTRODUCTION

  • 6.1. Chapter Overview
  • 6.2. Overview of Virtual Tourism Market
    • 6.2.1. Type of Product
    • 6.2.2. Type of Device
    • 6.2.3. Areas of Application
    • 6.2.4. Type of Tours
    • 6.2.5. Type of Direct Suppliers
    • 6.2.6. Type of Indirect Suppliers
  • 6.3. Future Perspective

7. REGULATORY SCENARIO

SECTION III: MARKET OVERVIEW

8. COMPREHENSIVE DATABASE OF LEADING PLAYERS

9. COMPETITIVE LANDSCAPE

  • 9.1. Chapter Overview
  • 9.2. Virtual tourism: Overall Market Landscape
    • 9.2.1. Analysis by Year of Establishment
    • 9.2.2. Analysis by Company Size
    • 9.2.3. Analysis by Location of Headquarters
    • 9.2.4. Analysis by Ownership Structure

10. WHITE SPACE ANALYSIS

11. COMPANY COMPETITIVENESS ANALYSIS

12. STARTUP ECOSYSTEM IN THE VIRTUAL TOURISM MARKET

  • 12.1. Virtual tourism market: Market Landscape of Startups
    • 12.1.1. Analysis by Year of Establishment
    • 12.1.2. Analysis by Company Size
    • 12.1.3. Analysis by Company Size and Year of Establishment
    • 12.1.4. Analysis by Location of Headquarters
    • 12.1.5. Analysis by Company Size and Location of Headquarters
    • 12.1.6. Analysis by Ownership Structure
  • 12.2. Key Findings

SECTION IV: COMPANY PROFILES

13. COMPANY PROFILES

  • 13.1. Chapter Overview
  • 13.2. 360 Cities*
    • 13.2.1. Company Overview
    • 13.2.2. Company Mission
    • 13.2.3. Company Footprint
    • 13.2.4. Management Team
    • 13.2.5. Contact Details
    • 13.2.6. Financial Performance
    • 13.2.7. Operating Business Segments
    • 13.2.8. Service / Product Portfolio (project specific)
    • 13.2.9. MOAT Analysis
    • 13.2.10. Recent Developments and Future Outlook
  • 13.3. 360 Imagery
  • 13.4. 360 Pano VR Solutions
  • 13.5. Airbnb
  • 13.6. Ascape VR
  • 13.7. Blue Raven
  • 13.8. Comp11
  • 13.9. Concept 3D
  • 13.10. Dubai 360
  • 13.11. Exsight 360
  • 13.12. Expedia Group
  • 13.13. First Airlines
  • 13.14. Google Earth VR
  • 13.15. Google
  • 13.16. Invision Studio
  • 13.17. Klapty
  • 13.18. Kuula
  • 13.19. Matterport

SECTION V: MARKET TRENDS

14. MEGA TRENDS ANALYSIS

15. UNMEET NEED ANALYSIS

16. PATENT ANALYSIS

17. RECENT DEVELOPMENTS

  • 17.1. Chapter Overview
  • 17.2. Recent Funding
  • 17.3. Recent Partnerships
  • 17.4. Other Recent Initiatives

SECTION VI: MARKET OPPORTUNITY ANALYSIS

18. GLOBAL VIRTUAL TOURISM MARKET

  • 18.1. Chapter Overview
  • 18.2. Key Assumptions and Methodology
  • 18.3. Trends Disruption Impacting Market
  • 18.4. Demand Side Trends
  • 18.5. Supply Side Trends
  • 18.6. Global Virtual tourism market, Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.7. Multivariate Scenario Analysis
    • 18.7.1. Conservative Scenario
    • 18.7.2. Optimistic Scenario
  • 18.8. Investment Feasibility Index
  • 18.9. Key Market Segmentations

19. MARKET OPPORTUNITIES BASED ON TYPE OF PRODUCT

  • 19.1. Chapter Overview
  • 19.2. Key Assumptions and Methodology
  • 19.3. Revenue Shift Analysis
  • 19.4. Market Movement Analysis
  • 19.5. Penetration-Growth (P-G) Matrix
  • 19.6. Virtual tourism market for Cloud Based: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.7. Virtual tourism market for Web Based: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.8. Data Triangulation and Validation
    • 19.8.1. Secondary Sources
    • 19.8.2. Primary Sources
    • 19.8.3. Statistical Modeling

20. MARKET OPPORTUNITIES BASED ON TYPE OF DEVICE

  • 20.1. Chapter Overview
  • 20.2. Key Assumptions and Methodology
  • 20.3. Revenue Shift Analysis
  • 20.4. Market Movement Analysis
  • 20.5. Penetration-Growth (P-G) Matrix
  • 20.6. Virtual tourism market for Head Mounted: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.7. Virtual tourism market for Gesture Tracking: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.8. Data Triangulation and Validation
    • 20.8.1. Secondary Sources
    • 20.8.2. Primary Sources
    • 20.8.3. Statistical Modeling

21. MARKET OPPORTUNITIES BASED ON AREAS OF APPLICATION

  • 21.1. Chapter Overview
  • 21.2. Key Assumptions and Methodology
  • 21.3. Revenue Shift Analysis
  • 21.4. Market Movement Analysis
  • 21.5. Penetration-Growth (P-G) Matrix
  • 21.6. Virtual tourism market for Art Galleries & Museums: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.7. Virtual tourism market for Automotive: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.8. Virtual tourism market for Education: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.9. Virtual tourism market for Marketing Professionals: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.10. Virtual tourism market for Real Estate Professionals: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.11. Virtual tourism market for Tourism Industries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.12. Data Triangulation and Validation
    • 21.12.1. Secondary Sources
    • 21.12.2. Primary Sources
    • 21.12.3. Statistical Modeling

22. MARKET OPPORTUNITIES BASED ON TYPE OF TOURS

  • 22.1. Chapter Overview
  • 22.2. Key Assumptions and Methodology
  • 22.3. Revenue Shift Analysis
  • 22.4. Market Movement Analysis
  • 22.5. Penetration-Growth (P-G) Matrix
  • 22.6. Virtual tourism market for 360-Degree Virtual Tours: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.7. Virtual tourism market for 3D Virtual Tours: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.8. Virtual tourism market for Virtual Reality Tours: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.9. Data Triangulation and Validation
    • 22.9.1. Secondary Sources
    • 22.9.2. Primary Sources
    • 22.9.3. Statistical Modeling

23. MARKET OPPORTUNITIES BASED ON TYPE OF DIRECT SUPPLIERS

  • 23.1. Chapter Overview
  • 23.2. Key Assumptions and Methodology
  • 23.3. Revenue Shift Analysis
  • 23.4. Market Movement Analysis
  • 23.5. Penetration-Growth (P-G) Matrix
  • 23.6. Virtual tourism market for Airlines: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.7. Virtual tourism market for Government Bodies: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.8. Virtual tourism market for Hotel Campaigns: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.9. Virtual tourism market for Tour Operators: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.10. Data Triangulation and Validation
    • 23.10.1. Secondary Sources
    • 23.10.2. Primary Sources
    • 23.10.3. Statistical Modeling

24. MARKET OPPORTUNITIES BASED ON TYPE OF INDIRECT SUPPLIERS

  • 24.1. Chapter Overview
  • 24.2. Key Assumptions and Methodology
  • 24.3. Revenue Shift Analysis
  • 24.4. Market Movement Analysis
  • 24.5. Penetration-Growth (P-G) Matrix
  • 24.6. Virtual tourism market for Aggregators: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.7. Virtual tourism market for Corporate Buyers: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.8. Virtual tourism market for Online Travel Agency: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.9. Virtual tourism market for Travel Management Companies: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.10. Virtual tourism market for Hotel Campaigns: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.11. Data Triangulation and Validation
    • 24.11.1. Secondary Sources
    • 24.11.2. Primary Sources
    • 24.11.3. Statistical Modeling

25. MARKET OPPORTUNITIES FOR VIRTUAL TOURISM IN NORTH AMERICA

  • 25.1. Chapter Overview
  • 25.2. Key Assumptions and Methodology
  • 25.3. Revenue Shift Analysis
  • 25.4. Market Movement Analysis
  • 25.5. Penetration-Growth (P-G) Matrix
  • 25.6. Virtual tourism market in North America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 25.6.1. Virtual tourism market in the US: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 25.6.2. Virtual tourism market in Canada: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 25.6.3. Virtual tourism market in Mexico: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 25.6.4. Virtual tourism market in Other North American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.7. Data Triangulation and Validation

26. MARKET OPPORTUNITIES FOR VIRTUAL TOURISM IN EUROPE

  • 26.1. Chapter Overview
  • 26.2. Key Assumptions and Methodology
  • 26.3. Revenue Shift Analysis
  • 26.4. Market Movement Analysis
  • 26.5. Penetration-Growth (P-G) Matrix
  • 26.6. Virtual tourism market in Europe: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.1. Virtual tourism market in Austria: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.2. Virtual tourism market in Belgium: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.3. Virtual tourism market in Denmark: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.4. Virtual tourism market in France: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.5. Virtual tourism market in Germany: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.6. Virtual tourism market in Ireland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.7. Virtual tourism market in Italy: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.8. Virtual tourism market in Netherlands: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.9. Virtual tourism market in Norway: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.10. Virtual tourism market in Russia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.11. Virtual tourism market in Spain: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.12. Virtual tourism market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.13. Virtual tourism market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.14. Virtual tourism market in Switzerland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.15. Virtual tourism market in the UK: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 26.6.16. Virtual tourism market in Other European Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.7. Data Triangulation and Validation

27. MARKET OPPORTUNITIES FOR VIRTUAL TOURISM IN ASIA

  • 27.1. Chapter Overview
  • 27.2. Key Assumptions and Methodology
  • 27.3. Revenue Shift Analysis
  • 27.4. Market Movement Analysis
  • 27.5. Penetration-Growth (P-G) Matrix
  • 27.6. Virtual tourism market in Asia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 27.6.1. Virtual tourism market in China: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 27.6.2. Virtual tourism market in India: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 27.6.3. Virtual tourism market in Japan: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 27.6.4. Virtual tourism market in Singapore: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 27.6.5. Virtual tourism market in South Korea: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 27.6.6. Virtual tourism market in Other Asian Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.7. Data Triangulation and Validation

28. MARKET OPPORTUNITIES FOR VIRTUAL TOURISM IN MIDDLE EAST AND NORTH AFRICA (MENA)

  • 28.1. Chapter Overview
  • 28.2. Key Assumptions and Methodology
  • 28.3. Revenue Shift Analysis
  • 28.4. Market Movement Analysis
  • 28.5. Penetration-Growth (P-G) Matrix
  • 28.6. Virtual tourism market in Middle East and North Africa (MENA): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 28.6.1. Virtual tourism market in Egypt: Historical Trends (Since 2019) and Forecasted Estimates (Till 205)
    • 28.6.2. Virtual tourism market in Iran: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 28.6.3. Virtual tourism market in Iraq: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 28.6.4. Virtual tourism market in Israel: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 28.6.5. Virtual tourism market in Kuwait: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 28.6.6. Virtual tourism market in Saudi Arabia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 28.6.7. Virtual tourism market in United Arab Emirates (UAE): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 28.6.8. Virtual tourism market in Other MENA Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 28.7. Data Triangulation and Validation

29. MARKET OPPORTUNITIES FOR VIRTUAL TOURISM IN LATIN AMERICA

  • 29.1. Chapter Overview
  • 29.2. Key Assumptions and Methodology
  • 29.3. Revenue Shift Analysis
  • 29.4. Market Movement Analysis
  • 29.5. Penetration-Growth (P-G) Matrix
  • 29.6. Virtual tourism market in Latin America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 29.6.1. Virtual tourism market in Argentina: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 29.6.2. Virtual tourism market in Brazil: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 29.6.3. Virtual tourism market in Chile: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 29.6.4. Virtual tourism market in Colombia Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 29.6.5. Virtual tourism market in Venezuela: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 29.6.6. Virtual tourism market in Other Latin American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 29.7. Data Triangulation and Validation

30. MARKET OPPORTUNITIES FOR VIRTUAL TOURISM IN REST OF THE WORLD

  • 30.1. Chapter Overview
  • 30.2. Key Assumptions and Methodology
  • 30.3. Revenue Shift Analysis
  • 30.4. Market Movement Analysis
  • 30.5. Penetration-Growth (P-G) Matrix
  • 30.6. Virtual tourism market in Rest of the World: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 30.6.1. Virtual tourism market in Australia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 30.6.2. Virtual tourism market in New Zealand: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 30.6.3. Virtual tourism market in Other Countries
  • 30.7. Data Triangulation and Validation

31. MARKET CONCENTRATION ANALYSIS: DISTRIBUTION BY LEADING PLAYERS

  • 31.1. Leading Player 1
  • 31.2. Leading Player 2
  • 31.3. Leading Player 3
  • 31.4. Leading Player 4
  • 31.5. Leading Player 5
  • 31.6. Leading Player 6
  • 31.7. Leading Player 7
  • 31.8. Leading Player 8

32. ADJACENT MARKET ANALYSIS

SECTION VII: STRATEGIC TOOLS

33. KEY WINNING STRATEGIES

34. PORTER'S FIVE FORCES ANALYSIS

35. SWOT ANALYSIS

36. VALUE CHAIN ANALYSIS

37. ROOTS STRATEGIC RECOMMENDATIONS

  • 37.1. Chapter Overview
  • 37.2. Key Business-related Strategies
    • 37.2.1. Research & Development
    • 37.2.2. Product Manufacturing
    • 37.2.3. Commercialization / Go-to-Market
    • 37.2.4. Sales and Marketing
  • 37.3. Key Operations-related Strategies
    • 37.3.1. Risk Management
    • 37.3.2. Workforce
    • 37.3.3. Finance
    • 37.3.4. Others

SECTION VIII: OTHER EXCLUSIVE INSIGHTS

38. INSIGHTS FROM PRIMARY RESEARCH

39. REPORT CONCLUSION

SECTION IX: APPENDIX

40. TABULATED DATA

41. LIST OF COMPANIES AND ORGANIZATIONS

42. CUSTOMIZATION OPPORTUNITIES

43. ROOTS SUBSCRIPTION SERVICES

44. AUTHOR DETAIL