Global Big Data Analytics in Tourism

Big Data Analytics in Tourism Comprehensive Study by Type (Structured, Semi-Structured, Unstructured), Application (Large Enterprises, Small-medium Enterprise), Big Data Analytics (Prescriptive, Predictive, Diagnostic, Descriptive), Big Data Source (Social networking Sites, Blogs, News Sites, Forums) Players and Region - Global Market Outlook to 2026

Big Data Analytics in Tourism Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is Big Data Analytics in Tourism?
Big data analytics in tourism is the information of travelers produced by themselves which helps in prescriptive, diagnostics, descriptives, and predictive data collection to be used in the tourism industry for any decision making. It improves the process in the tourism industry by analyzing the data of travelers to serve them better. It also helps in anticipating the requirement of the tourism industry accurately, setting the pricing strategies precisely, and improves the customer experience.

The market study is broken down by Type (Structured, Semi-Structured and Unstructured), by Application (Large Enterprises and Small-medium Enterprise) and major geographies with country level break-up.

Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

IBM (United States), Microsoft Corporation (United States), Google, LLC (United States), Amazon.com, Inc., (United States), Oracle Corporation (United States), SAP SE (Germany), TIBCO Software Inc (United States), Mind Analytics (Spain) and Tableau Software (Salesforce) (United States) are some of the key players that are part of study coverage.

Segmentation Overview
AdvanceMarketAnalytics has segmented the market of Global Big Data Analytics in Tourism market by Type, Application and Region.

On the basis of geography, the market of Big Data Analytics in Tourism has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Big Data Analytics, the sub-segment i.e. Prescriptive will boost the Big Data Analytics in Tourism market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Big Data Source, the sub-segment i.e. Social networking Sites will boost the Big Data Analytics in Tourism market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

On 13th February 2020, Mind Analytics, a Spanish start-up specializing in data analytics to optimize decision making in the tourism industry, has launched the first tool in the travel industry that combines AI, Machine Learning, and Big Data, designed to improve the conversion of hotel distribution wholesalers. The Travel Intelligence Engine (Travel/ie) solution captures, processes, and analyses data in real-time and uses that knowledge to improve distribution, detect errors and behavior patterns, in order to improve the distribution of available product inventory and adapt offers to your customers.


Market Trend
  • Increasing Digitalization in the Big Data Analytics in Tourism Market

Market Drivers
  • Demand for the Tourism Industry Worldwide
  • Big Data Provide the Traveler Information Flows to Make Accurate Decisions in the Tourism Market

Opportunities
  • Growing Spending on the Big Data Analytics in Tourism Infrastructure
  • Revival Plan in the Tourism Industry will Accelerate the Big Data Analytics in Tourism Market

Restraints
  • Problems with the Pandemic and Global Travel Restriction is Hampering the Big Data Analytics in Tourism Market

Challenges
  • Risk of Data Storage, Analysis, and Information Privacy with Big Data Analytics in the Tourism Market


Key Target Audience
Big Data Analytics Solution Providers, Tourism Industry Association, Research and Development Institutes, Potential Investors, Regulatory Bodies and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have the better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with purpose to understand company’s positioning regarding market value, volume and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders etc. and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, analyst team keeps preparing set of questionnaires and after getting appointee list; the target audience are then tapped and segregated with various mediums and channels that are feasible for making connection that includes email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey etc.

Report Objectives / Segmentation Covered

By Type
  • Structured
  • Semi-Structured
  • Unstructured
By Application
  • Large Enterprises
  • Small-medium Enterprise
By Big Data Analytics
  • Prescriptive
  • Predictive
  • Diagnostic
  • Descriptive

By Big Data Source
  • Social networking Sites
  • Blogs
  • News Sites
  • Forums

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Demand for the Tourism Industry Worldwide
      • 3.2.2. Big Data Provide the Traveler Information Flows to Make Accurate Decisions in the Tourism Market
    • 3.3. Market Challenges
      • 3.3.1. Risk of Data Storage, Analysis, and Information Privacy with Big Data Analytics in the Tourism Market
    • 3.4. Market Trends
      • 3.4.1. Increasing Digitalization in the Big Data Analytics in Tourism Market
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Big Data Analytics in Tourism, by Type, Application, Big Data Analytics, Big Data Source and Region (value and price ) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Big Data Analytics in Tourism (Value)
      • 5.2.1. Global Big Data Analytics in Tourism by: Type (Value)
        • 5.2.1.1. Structured
        • 5.2.1.2. Semi-Structured
        • 5.2.1.3. Unstructured
      • 5.2.2. Global Big Data Analytics in Tourism by: Application (Value)
        • 5.2.2.1. Large Enterprises
        • 5.2.2.2. Small-medium Enterprise
      • 5.2.3. Global Big Data Analytics in Tourism by: Big Data Analytics (Value)
        • 5.2.3.1. Prescriptive
        • 5.2.3.2. Predictive
        • 5.2.3.3. Diagnostic
        • 5.2.3.4. Descriptive
      • 5.2.4. Global Big Data Analytics in Tourism by: Big Data Source (Value)
        • 5.2.4.1. Social networking Sites
        • 5.2.4.2. Blogs
        • 5.2.4.3. News Sites
        • 5.2.4.4. Forums
      • 5.2.5. Global Big Data Analytics in Tourism Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Big Data Analytics in Tourism (Price)
      • 5.3.1. Global Big Data Analytics in Tourism by: Type (Price)
  • 6. Big Data Analytics in Tourism: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Microsoft Corporation (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Google, LLC (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Amazon.com, Inc., (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Oracle Corporation (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. SAP SE (Germany)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. TIBCO Software Inc (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Mind Analytics (Spain)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Tableau Software (Salesforce) (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
  • 7. Global Big Data Analytics in Tourism Sale, by Type, Application, Big Data Analytics, Big Data Source and Region (value and price ) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Big Data Analytics in Tourism (Value)
      • 7.2.1. Global Big Data Analytics in Tourism by: Type (Value)
        • 7.2.1.1. Structured
        • 7.2.1.2. Semi-Structured
        • 7.2.1.3. Unstructured
      • 7.2.2. Global Big Data Analytics in Tourism by: Application (Value)
        • 7.2.2.1. Large Enterprises
        • 7.2.2.2. Small-medium Enterprise
      • 7.2.3. Global Big Data Analytics in Tourism by: Big Data Analytics (Value)
        • 7.2.3.1. Prescriptive
        • 7.2.3.2. Predictive
        • 7.2.3.3. Diagnostic
        • 7.2.3.4. Descriptive
      • 7.2.4. Global Big Data Analytics in Tourism by: Big Data Source (Value)
        • 7.2.4.1. Social networking Sites
        • 7.2.4.2. Blogs
        • 7.2.4.3. News Sites
        • 7.2.4.4. Forums
      • 7.2.5. Global Big Data Analytics in Tourism Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Big Data Analytics in Tourism (Price)
      • 7.3.1. Global Big Data Analytics in Tourism by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Big Data Analytics in Tourism: by Type(USD Million)
  • Table 2. Big Data Analytics in Tourism Structured , by Region USD Million (2015-2020)
  • Table 3. Big Data Analytics in Tourism Semi-Structured , by Region USD Million (2015-2020)
  • Table 4. Big Data Analytics in Tourism Unstructured , by Region USD Million (2015-2020)
  • Table 5. Big Data Analytics in Tourism: by Application(USD Million)
  • Table 6. Big Data Analytics in Tourism Large Enterprises , by Region USD Million (2015-2020)
  • Table 7. Big Data Analytics in Tourism Small-medium Enterprise , by Region USD Million (2015-2020)
  • Table 8. Big Data Analytics in Tourism: by Big Data Analytics(USD Million)
  • Table 9. Big Data Analytics in Tourism Prescriptive , by Region USD Million (2015-2020)
  • Table 10. Big Data Analytics in Tourism Predictive , by Region USD Million (2015-2020)
  • Table 11. Big Data Analytics in Tourism Diagnostic , by Region USD Million (2015-2020)
  • Table 12. Big Data Analytics in Tourism Descriptive , by Region USD Million (2015-2020)
  • Table 13. Big Data Analytics in Tourism: by Big Data Source(USD Million)
  • Table 14. Big Data Analytics in Tourism Social networking Sites , by Region USD Million (2015-2020)
  • Table 15. Big Data Analytics in Tourism Blogs , by Region USD Million (2015-2020)
  • Table 16. Big Data Analytics in Tourism News Sites , by Region USD Million (2015-2020)
  • Table 17. Big Data Analytics in Tourism Forums , by Region USD Million (2015-2020)
  • Table 18. South America Big Data Analytics in Tourism, by Country USD Million (2015-2020)
  • Table 19. South America Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 20. South America Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 21. South America Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 22. South America Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 23. Brazil Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 24. Brazil Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 25. Brazil Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 26. Brazil Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 27. Argentina Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 28. Argentina Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 29. Argentina Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 30. Argentina Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 31. Rest of South America Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 32. Rest of South America Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 33. Rest of South America Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 34. Rest of South America Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 35. Asia Pacific Big Data Analytics in Tourism, by Country USD Million (2015-2020)
  • Table 36. Asia Pacific Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 37. Asia Pacific Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 38. Asia Pacific Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 39. Asia Pacific Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 40. China Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 41. China Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 42. China Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 43. China Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 44. Japan Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 45. Japan Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 46. Japan Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 47. Japan Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 48. India Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 49. India Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 50. India Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 51. India Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 52. South Korea Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 53. South Korea Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 54. South Korea Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 55. South Korea Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 56. Taiwan Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 57. Taiwan Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 58. Taiwan Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 59. Taiwan Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 60. Australia Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 61. Australia Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 62. Australia Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 63. Australia Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 64. Rest of Asia-Pacific Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 65. Rest of Asia-Pacific Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 66. Rest of Asia-Pacific Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 67. Rest of Asia-Pacific Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 68. Europe Big Data Analytics in Tourism, by Country USD Million (2015-2020)
  • Table 69. Europe Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 70. Europe Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 71. Europe Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 72. Europe Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 73. Germany Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 74. Germany Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 75. Germany Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 76. Germany Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 77. France Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 78. France Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 79. France Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 80. France Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 81. Italy Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 82. Italy Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 83. Italy Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 84. Italy Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 85. United Kingdom Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 86. United Kingdom Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 87. United Kingdom Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 88. United Kingdom Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 89. Netherlands Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 90. Netherlands Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 91. Netherlands Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 92. Netherlands Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 93. Rest of Europe Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 94. Rest of Europe Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 95. Rest of Europe Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 96. Rest of Europe Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 97. MEA Big Data Analytics in Tourism, by Country USD Million (2015-2020)
  • Table 98. MEA Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 99. MEA Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 100. MEA Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 101. MEA Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 102. Middle East Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 103. Middle East Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 104. Middle East Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 105. Middle East Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 106. Africa Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 107. Africa Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 108. Africa Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 109. Africa Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 110. North America Big Data Analytics in Tourism, by Country USD Million (2015-2020)
  • Table 111. North America Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 112. North America Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 113. North America Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 114. North America Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 115. United States Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 116. United States Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 117. United States Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 118. United States Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 119. Canada Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 120. Canada Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 121. Canada Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 122. Canada Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 123. Mexico Big Data Analytics in Tourism, by Type USD Million (2015-2020)
  • Table 124. Mexico Big Data Analytics in Tourism, by Application USD Million (2015-2020)
  • Table 125. Mexico Big Data Analytics in Tourism, by Big Data Analytics USD Million (2015-2020)
  • Table 126. Mexico Big Data Analytics in Tourism, by Big Data Source USD Million (2015-2020)
  • Table 127. Big Data Analytics in Tourism: by Type(USD/Units)
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Figure 34. Tableau Software (Salesforce) (United States) Revenue, Net Income and Gross profit
  • Figure 35. Tableau Software (Salesforce) (United States) Revenue: by Geography 2020
  • Table 137. Big Data Analytics in Tourism: by Type(USD Million)
  • Table 138. Big Data Analytics in Tourism Structured , by Region USD Million (2021-2026)
  • Table 139. Big Data Analytics in Tourism Semi-Structured , by Region USD Million (2021-2026)
  • Table 140. Big Data Analytics in Tourism Unstructured , by Region USD Million (2021-2026)
  • Table 141. Big Data Analytics in Tourism: by Application(USD Million)
  • Table 142. Big Data Analytics in Tourism Large Enterprises , by Region USD Million (2021-2026)
  • Table 143. Big Data Analytics in Tourism Small-medium Enterprise , by Region USD Million (2021-2026)
  • Table 144. Big Data Analytics in Tourism: by Big Data Analytics(USD Million)
  • Table 145. Big Data Analytics in Tourism Prescriptive , by Region USD Million (2021-2026)
  • Table 146. Big Data Analytics in Tourism Predictive , by Region USD Million (2021-2026)
  • Table 147. Big Data Analytics in Tourism Diagnostic , by Region USD Million (2021-2026)
  • Table 148. Big Data Analytics in Tourism Descriptive , by Region USD Million (2021-2026)
  • Table 149. Big Data Analytics in Tourism: by Big Data Source(USD Million)
  • Table 150. Big Data Analytics in Tourism Social networking Sites , by Region USD Million (2021-2026)
  • Table 151. Big Data Analytics in Tourism Blogs , by Region USD Million (2021-2026)
  • Table 152. Big Data Analytics in Tourism News Sites , by Region USD Million (2021-2026)
  • Table 153. Big Data Analytics in Tourism Forums , by Region USD Million (2021-2026)
  • Table 154. South America Big Data Analytics in Tourism, by Country USD Million (2021-2026)
  • Table 155. South America Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 156. South America Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 157. South America Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 158. South America Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 159. Brazil Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 160. Brazil Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 161. Brazil Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 162. Brazil Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 163. Argentina Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 164. Argentina Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 165. Argentina Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 166. Argentina Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 167. Rest of South America Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 168. Rest of South America Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 169. Rest of South America Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 170. Rest of South America Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 171. Asia Pacific Big Data Analytics in Tourism, by Country USD Million (2021-2026)
  • Table 172. Asia Pacific Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 173. Asia Pacific Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 174. Asia Pacific Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 175. Asia Pacific Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 176. China Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 177. China Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 178. China Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 179. China Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 180. Japan Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 181. Japan Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 182. Japan Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 183. Japan Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 184. India Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 185. India Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 186. India Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 187. India Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 188. South Korea Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 189. South Korea Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 190. South Korea Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 191. South Korea Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 192. Taiwan Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 193. Taiwan Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 194. Taiwan Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 195. Taiwan Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 196. Australia Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 197. Australia Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 198. Australia Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 199. Australia Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 200. Rest of Asia-Pacific Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 201. Rest of Asia-Pacific Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 202. Rest of Asia-Pacific Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 203. Rest of Asia-Pacific Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 204. Europe Big Data Analytics in Tourism, by Country USD Million (2021-2026)
  • Table 205. Europe Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 206. Europe Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 207. Europe Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 208. Europe Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 209. Germany Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 210. Germany Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 211. Germany Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 212. Germany Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 213. France Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 214. France Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 215. France Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 216. France Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 217. Italy Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 218. Italy Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 219. Italy Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 220. Italy Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 221. United Kingdom Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 222. United Kingdom Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 223. United Kingdom Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 224. United Kingdom Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 225. Netherlands Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 226. Netherlands Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 227. Netherlands Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 228. Netherlands Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 229. Rest of Europe Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 230. Rest of Europe Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 231. Rest of Europe Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 232. Rest of Europe Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 233. MEA Big Data Analytics in Tourism, by Country USD Million (2021-2026)
  • Table 234. MEA Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 235. MEA Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 236. MEA Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 237. MEA Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 238. Middle East Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 239. Middle East Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 240. Middle East Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 241. Middle East Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 242. Africa Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 243. Africa Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 244. Africa Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 245. Africa Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 246. North America Big Data Analytics in Tourism, by Country USD Million (2021-2026)
  • Table 247. North America Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 248. North America Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 249. North America Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 250. North America Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 251. United States Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 252. United States Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 253. United States Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 254. United States Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 255. Canada Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 256. Canada Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 257. Canada Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 258. Canada Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 259. Mexico Big Data Analytics in Tourism, by Type USD Million (2021-2026)
  • Table 260. Mexico Big Data Analytics in Tourism, by Application USD Million (2021-2026)
  • Table 261. Mexico Big Data Analytics in Tourism, by Big Data Analytics USD Million (2021-2026)
  • Table 262. Mexico Big Data Analytics in Tourism, by Big Data Source USD Million (2021-2026)
  • Table 263. Big Data Analytics in Tourism: by Type(USD/Units)
  • Table 264. Research Programs/Design for This Report
  • Table 265. Key Data Information from Secondary Sources
  • Table 266. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Big Data Analytics in Tourism: by Type USD Million (2015-2020)
  • Figure 5. Global Big Data Analytics in Tourism: by Application USD Million (2015-2020)
  • Figure 6. Global Big Data Analytics in Tourism: by Big Data Analytics USD Million (2015-2020)
  • Figure 7. Global Big Data Analytics in Tourism: by Big Data Source USD Million (2015-2020)
  • Figure 8. South America Big Data Analytics in Tourism Share (%), by Country
  • Figure 9. Asia Pacific Big Data Analytics in Tourism Share (%), by Country
  • Figure 10. Europe Big Data Analytics in Tourism Share (%), by Country
  • Figure 11. MEA Big Data Analytics in Tourism Share (%), by Country
  • Figure 12. North America Big Data Analytics in Tourism Share (%), by Country
  • Figure 13. Global Big Data Analytics in Tourism: by Type USD/Units (2015-2020)
  • Figure 14. Global Big Data Analytics in Tourism share by Players 2020 (%)
  • Figure 15. Global Big Data Analytics in Tourism share by Players (Top 3) 2020(%)
  • Figure 16. Global Big Data Analytics in Tourism share by Players (Top 5) 2020(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 19. IBM (United States) Revenue: by Geography 2020
  • Figure 20. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 21. Microsoft Corporation (United States) Revenue: by Geography 2020
  • Figure 22. Google, LLC (United States) Revenue, Net Income and Gross profit
  • Figure 23. Google, LLC (United States) Revenue: by Geography 2020
  • Figure 24. Amazon.com, Inc., (United States) Revenue, Net Income and Gross profit
  • Figure 25. Amazon.com, Inc., (United States) Revenue: by Geography 2020
  • Figure 26. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 27. Oracle Corporation (United States) Revenue: by Geography 2020
  • Figure 28. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 29. SAP SE (Germany) Revenue: by Geography 2020
  • Figure 30. TIBCO Software Inc (United States) Revenue, Net Income and Gross profit
  • Figure 31. TIBCO Software Inc (United States) Revenue: by Geography 2020
  • Figure 32. Mind Analytics (Spain) Revenue, Net Income and Gross profit
  • Figure 33. Mind Analytics (Spain) Revenue: by Geography 2020
  • Figure 36. Global Big Data Analytics in Tourism: by Type USD Million (2021-2026)
  • Figure 37. Global Big Data Analytics in Tourism: by Application USD Million (2021-2026)
  • Figure 38. Global Big Data Analytics in Tourism: by Big Data Analytics USD Million (2021-2026)
  • Figure 39. Global Big Data Analytics in Tourism: by Big Data Source USD Million (2021-2026)
  • Figure 40. South America Big Data Analytics in Tourism Share (%), by Country
  • Figure 41. Asia Pacific Big Data Analytics in Tourism Share (%), by Country
  • Figure 42. Europe Big Data Analytics in Tourism Share (%), by Country
  • Figure 43. MEA Big Data Analytics in Tourism Share (%), by Country
  • Figure 44. North America Big Data Analytics in Tourism Share (%), by Country
  • Figure 45. Global Big Data Analytics in Tourism: by Type USD/Units (2021-2026)
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Microsoft Corporation (United States)
  • Google, LLC (United States)
  • Amazon.com, Inc., (United States)
  • Oracle Corporation (United States)
  • SAP SE (Germany)
  • TIBCO Software Inc (United States)
  • Mind Analytics (Spain)
  • Tableau Software (Salesforce) (United States)
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Key Highlights of Report


Dec 2021 241 Pages 79 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Big Data Analytics in Tourism Quantitative research analysis
Global Big Data Analytics in Tourism Qualitative Industry Analysis
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The standard version of the report profiles players such as IBM (United States), Microsoft Corporation (United States), Google, LLC (United States), Amazon.com, Inc., (United States), Oracle Corporation (United States), SAP SE (Germany), TIBCO Software Inc (United States), Mind Analytics (Spain) and Tableau Software (Salesforce) (United States) etc.
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Analysts at AMA estimates Big Data Analytics in Tourism Market to reach USD Million by 2026.

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