Copyright Reports & Markets. All rights reserved.

COVID-19 Impact on Global Big Data Analytics in Tourism Market Size, Status and Forecast 2020-2026

Request for Sample of this report
Buy now

1 Report Overview

  • 1.1 Study Scope
  • 1.2 Key Market Segments
  • 1.3 Players Covered: Ranking by Big Data Analytics in Tourism Revenue
  • 1.4 Market Analysis by Type
    • 1.4.1 Global Big Data Analytics in Tourism Market Size Growth Rate by Type: 2020 VS 2026
    • 1.4.2 Structured
    • 1.4.3 Semi-Structured
    • 1.4.4 Unstructured
  • 1.5 Market by Application
    • 1.5.1 Global Big Data Analytics in Tourism Market Share by Application: 2020 VS 2026
    • 1.5.2 Large Enterprises
    • 1.5.3 SMEs
  • 1.6 Coronavirus Disease 2019 (Covid-19): Big Data Analytics in Tourism Industry Impact
    • 1.6.1 How the Covid-19 is Affecting the Big Data Analytics in Tourism Industry
      • 1.6.1.1 Big Data Analytics in Tourism Business Impact Assessment - Covid-19
      • 1.6.1.2 Supply Chain Challenges
      • 1.6.1.3 COVID-19’s Impact On Crude Oil and Refined Products
    • 1.6.2 Market Trends and Big Data Analytics in Tourism Potential Opportunities in the COVID-19 Landscape
    • 1.6.3 Measures / Proposal against Covid-19
      • 1.6.3.1 Government Measures to Combat Covid-19 Impact
      • 1.6.3.2 Proposal for Big Data Analytics in Tourism Players to Combat Covid-19 Impact
  • 1.7 Study Objectives
  • 1.8 Years Considered

2 Global Growth Trends by Regions

  • 2.1 Big Data Analytics in Tourism Market Perspective (2015-2026)
  • 2.2 Big Data Analytics in Tourism Growth Trends by Regions
    • 2.2.1 Big Data Analytics in Tourism Market Size by Regions: 2015 VS 2020 VS 2026
    • 2.2.2 Big Data Analytics in Tourism Historic Market Share by Regions (2015-2020)
    • 2.2.3 Big Data Analytics in Tourism Forecasted Market Size by Regions (2021-2026)
  • 2.3 Industry Trends and Growth Strategy
    • 2.3.1 Market Top Trends
    • 2.3.2 Market Drivers
    • 2.3.3 Market Challenges
    • 2.3.4 Porter’s Five Forces Analysis
    • 2.3.5 Big Data Analytics in Tourism Market Growth Strategy
    • 2.3.6 Primary Interviews with Key Big Data Analytics in Tourism Players (Opinion Leaders)

3 Competition Landscape by Key Players

  • 3.1 Global Top Big Data Analytics in Tourism Players by Market Size
    • 3.1.1 Global Top Big Data Analytics in Tourism Players by Revenue (2015-2020)
    • 3.1.2 Global Big Data Analytics in Tourism Revenue Market Share by Players (2015-2020)
    • 3.1.3 Global Big Data Analytics in Tourism Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
  • 3.2 Global Big Data Analytics in Tourism Market Concentration Ratio
    • 3.2.1 Global Big Data Analytics in Tourism Market Concentration Ratio (CR5 and HHI)
    • 3.2.2 Global Top 10 and Top 5 Companies by Big Data Analytics in Tourism Revenue in 2019
  • 3.3 Big Data Analytics in Tourism Key Players Head office and Area Served
  • 3.4 Key Players Big Data Analytics in Tourism Product Solution and Service
  • 3.5 Date of Enter into Big Data Analytics in Tourism Market
  • 3.6 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Type (2015-2026)

  • 4.1 Global Big Data Analytics in Tourism Historic Market Size by Type (2015-2020)
  • 4.2 Global Big Data Analytics in Tourism Forecasted Market Size by Type (2021-2026)

5 Big Data Analytics in Tourism Breakdown Data by Application (2015-2026)

  • 5.1 Global Big Data Analytics in Tourism Market Size by Application (2015-2020)
  • 5.2 Global Big Data Analytics in Tourism Forecasted Market Size by Application (2021-2026)

6 North America

  • 6.1 North America Big Data Analytics in Tourism Market Size (2015-2020)
  • 6.2 Big Data Analytics in Tourism Key Players in North America (2019-2020)
  • 6.3 North America Big Data Analytics in Tourism Market Size by Type (2015-2020)
  • 6.4 North America Big Data Analytics in Tourism Market Size by Application (2015-2020)

7 Europe

  • 7.1 Europe Big Data Analytics in Tourism Market Size (2015-2020)
  • 7.2 Big Data Analytics in Tourism Key Players in Europe (2019-2020)
  • 7.3 Europe Big Data Analytics in Tourism Market Size by Type (2015-2020)
  • 7.4 Europe Big Data Analytics in Tourism Market Size by Application (2015-2020)

8 China

  • 8.1 China Big Data Analytics in Tourism Market Size (2015-2020)
  • 8.2 Big Data Analytics in Tourism Key Players in China (2019-2020)
  • 8.3 China Big Data Analytics in Tourism Market Size by Type (2015-2020)
  • 8.4 China Big Data Analytics in Tourism Market Size by Application (2015-2020)

9 Japan

  • 9.1 Japan Big Data Analytics in Tourism Market Size (2015-2020)
  • 9.2 Big Data Analytics in Tourism Key Players in Japan (2019-2020)
  • 9.3 Japan Big Data Analytics in Tourism Market Size by Type (2015-2020)
  • 9.4 Japan Big Data Analytics in Tourism Market Size by Application (2015-2020)

10 Southeast Asia

  • 10.1 Southeast Asia Big Data Analytics in Tourism Market Size (2015-2020)
  • 10.2 Big Data Analytics in Tourism Key Players in Southeast Asia (2019-2020)
  • 10.3 Southeast Asia Big Data Analytics in Tourism Market Size by Type (2015-2020)
  • 10.4 Southeast Asia Big Data Analytics in Tourism Market Size by Application (2015-2020)

11 India

  • 11.1 India Big Data Analytics in Tourism Market Size (2015-2020)
  • 11.2 Big Data Analytics in Tourism Key Players in India (2019-2020)
  • 11.3 India Big Data Analytics in Tourism Market Size by Type (2015-2020)
  • 11.4 India Big Data Analytics in Tourism Market Size by Application (2015-2020)

12 Central & South America

  • 12.1 Central & South America Big Data Analytics in Tourism Market Size (2015-2020)
  • 12.2 Big Data Analytics in Tourism Key Players in Central & South America (2019-2020)
  • 12.3 Central & South America Big Data Analytics in Tourism Market Size by Type (2015-2020)
  • 12.4 Central & South America Big Data Analytics in Tourism Market Size by Application (2015-2020)

13 Key Players Profiles

  • 13.1 Hewlett Packard Enterprise
    • 13.1.1 Hewlett Packard Enterprise Company Details
    • 13.1.2 Hewlett Packard Enterprise Business Overview and Its Total Revenue
    • 13.1.3 Hewlett Packard Enterprise Big Data Analytics in Tourism Introduction
    • 13.1.4 Hewlett Packard Enterprise Revenue in Big Data Analytics in Tourism Business (2015-2020))
    • 13.1.5 Hewlett Packard Enterprise Recent Development
  • 13.2 IBM
    • 13.2.1 IBM Company Details
    • 13.2.2 IBM Business Overview and Its Total Revenue
    • 13.2.3 IBM Big Data Analytics in Tourism Introduction
    • 13.2.4 IBM Revenue in Big Data Analytics in Tourism Business (2015-2020)
    • 13.2.5 IBM Recent Development
  • 13.3 Microsoft
    • 13.3.1 Microsoft Company Details
    • 13.3.2 Microsoft Business Overview and Its Total Revenue
    • 13.3.3 Microsoft Big Data Analytics in Tourism Introduction
    • 13.3.4 Microsoft Revenue in Big Data Analytics in Tourism Business (2015-2020)
    • 13.3.5 Microsoft Recent Development
  • 13.4 Oracle
    • 13.4.1 Oracle Company Details
    • 13.4.2 Oracle Business Overview and Its Total Revenue
    • 13.4.3 Oracle Big Data Analytics in Tourism Introduction
    • 13.4.4 Oracle Revenue in Big Data Analytics in Tourism Business (2015-2020)
    • 13.4.5 Oracle Recent Development
  • 13.5 Hitachi
    • 13.5.1 Hitachi Company Details
    • 13.5.2 Hitachi Business Overview and Its Total Revenue
    • 13.5.3 Hitachi Big Data Analytics in Tourism Introduction
    • 13.5.4 Hitachi Revenue in Big Data Analytics in Tourism Business (2015-2020)
    • 13.5.5 Hitachi Recent Development
  • 13.6 SAP
    • 13.6.1 SAP Company Details
    • 13.6.2 SAP Business Overview and Its Total Revenue
    • 13.6.3 SAP Big Data Analytics in Tourism Introduction
    • 13.6.4 SAP Revenue in Big Data Analytics in Tourism Business (2015-2020)
    • 13.6.5 SAP Recent Development
  • 13.7 Google
    • 13.7.1 Google Company Details
    • 13.7.2 Google Business Overview and Its Total Revenue
    • 13.7.3 Google Big Data Analytics in Tourism Introduction
    • 13.7.4 Google Revenue in Big Data Analytics in Tourism Business (2015-2020)
    • 13.7.5 Google Recent Development
  • 13.8 Amazon
    • 13.8.1 Amazon Company Details
    • 13.8.2 Amazon Business Overview and Its Total Revenue
    • 13.8.3 Amazon Big Data Analytics in Tourism Introduction
    • 13.8.4 Amazon Revenue in Big Data Analytics in Tourism Business (2015-2020)
    • 13.8.5 Amazon Recent Development
  • 13.9 Accenture
    • 13.9.1 Accenture Company Details
    • 13.9.2 Accenture Business Overview and Its Total Revenue
    • 13.9.3 Accenture Big Data Analytics in Tourism Introduction
    • 13.9.4 Accenture Revenue in Big Data Analytics in Tourism Business (2015-2020)
    • 13.9.5 Accenture Recent Development
  • 13.10 TIBCO
    • 13.10.1 TIBCO Company Details
    • 13.10.2 TIBCO Business Overview and Its Total Revenue
    • 13.10.3 TIBCO Big Data Analytics in Tourism Introduction
    • 13.10.4 TIBCO Revenue in Big Data Analytics in Tourism Business (2015-2020)
    • 13.10.5 TIBCO Recent Development
  • 13.11 Tableau
    • 10.11.1 Tableau Company Details
    • 10.11.2 Tableau Business Overview and Its Total Revenue
    • 10.11.3 Tableau Big Data Analytics in Tourism Introduction
    • 10.11.4 Tableau Revenue in Big Data Analytics in Tourism Business (2015-2020)
    • 10.11.5 Tableau Recent Development

14 Analyst's Viewpoints/Conclusions

    15 Appendix

    • 15.1 Research Methodology
      • 15.1.1 Methodology/Research Approach
      • 15.1.2 Data Source
    • 15.2 Disclaimer

    This report focuses on the global Big Data Analytics in Tourism status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Big Data Analytics in Tourism development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

    The key players covered in this study
    Hewlett Packard Enterprise
    IBM
    Microsoft
    Oracle
    Hitachi
    SAP
    Google
    Amazon
    Accenture
    TIBCO
    Tableau

    Market segment by Type, the product can be split into
    Structured
    Semi-Structured
    Unstructured
    Market segment by Application, split into
    Large Enterprises
    SMEs

    Market segment by Regions/Countries, this report covers
    North America
    Europe
    China
    Japan
    Southeast Asia
    India
    Central & South America

    The study objectives of this report are:
    To analyze global Big Data Analytics in Tourism status, future forecast, growth opportunity, key market and key players.
    To present the Big Data Analytics in Tourism development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
    To strategically profile the key players and comprehensively analyze their development plan and strategies.
    To define, describe and forecast the market by type, market and key regions.

    In this study, the years considered to estimate the market size of Big Data Analytics in Tourism are as follows:
    History Year: 2015-2019
    Base Year: 2019
    Estimated Year: 2020
    Forecast Year 2020 to 2026
    For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

    Buy now