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Big Data Analytics in Tourism Market Status and Trend Analysis 2017-2034 (COVID-19 Version)


Published on: 2024-01-04 | No of Pages : 83 | Industry : Service & Software

Publisher : 9 | Format : Electronic PDF

Big Data Analytics in Tourism Market Status and Trend Analysis 2017-2034 (COVID-19 Version)

Summary

Further key aspects of the report indicate that
Chapter 1Research ScopeProduct Definition, Type, End-Use & Methodology
Chapter 2Global Industry Summary
Chapter 3Market Dynamics
Chapter 4Global Market Segmentation by region, type and End-Use
Chapter 5North America Market Segmentation by region, type and End-Use
Chapter 6Europe Market Segmentation by region, type and End-Use
Chapter 7Asia-Pacific Market Segmentation by region, type and End-Use
Chapter 8South America Market Segmentation by region, type and End-Use
Chapter 9Middle East and Africa Market Segmentation by region, type and End-Use.
Chapter 10Market Competition by Companies
Chapter 11Market forecast and environment forecast.
Chapter 12Industry Summary.

The global Big Data Analytics in Tourism market has the potential to grow with xx million USD with growing CAGR in the forecast period from 2021f to 2026f. Factors driving the market for @@@@@ are the significant development of demand and improvement of COVID-19 and geo-economics.


Based on the type of product

the global Big Data Analytics in Tourism market segmented into
Structured
Semi-Structured
Unstructured

Based on the end-use

the global Big Data Analytics in Tourism market classified into
Large Enterprises
SMEs

Based on geography

the global Big Data Analytics in Tourism market segmented into
North America [U.S., Canada, Mexico]
Europe [Germany, UK, France, Italy, Rest of Europe]
Asia-Pacific [China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific]
South America [Brazil, Argentina, Rest of Latin America]
Middle East & Africa [GCC, North Africa, South Africa, Rest of Middle East and Africa]

And the major players included in the report are


Hewlett Packard Enterprise
IBM
Microsoft
Oracle
Hitachi
SAP
Google
Amazon
Accenture
TIBCO
Tableau

Table of Content

Table of Contents
1 RESEARCH SCOPE
1.1 Research Product Definition
1.2 Research Segmentation
1.2.1 Product Type
1.2.2 Main product Type of Major Players
1.3 Demand Overview
1.4 Research Methodology
2 GLOBAL BIG DATA ANALYTICS IN TOURISM INDUSTRY
2.1 Summary about Big Data Analytics in Tourism Industry
2.2 Big Data Analytics in Tourism Market Trends
2.2.1 Big Data Analytics in Tourism Production & Consumption Trends
2.2.2 Big Data Analytics in Tourism Demand Structure Trends
2.3 Big Data Analytics in Tourism Cost & Price
3 MARKET DYNAMICS
3.1 Manufacturing & Purchasing Behavior in 2020
3.2 Market Development under the Impact of COVID-19
3.2.1 Drivers
3.2.2 Restraints
3.2.3 Opportunity
3.2.4 Risk
4 GLOBAL MARKET SEGMENTATION
4.1 Region Segmentation (2017 to 2021f)
4.1.1 North America (U.S., Canada and Mexico)
4.1.2 Europe (Germany, UK, France, Italy, Rest of Europe)
4.1.3 Asia-Pacific (China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific)
4.1.4 South America (Brazil,, Argentina, Rest of Latin America)
4.1.5 Middle East and Africa (GCC, North Africa, South Africa, Rest of Middle East and Africa)
4.2 Product Type Segmentation (2017 to 2021f)
4.2.1 Structured
4.2.2 Semi-Structured
4.2.3 Unstructured
4.3 Consumption Segmentation (2017 to 2021f)
4.3.1 Large Enterprises
4.3.2 SMEs
5 NORTH AMERICA MARKET SEGMENT
5.1 Region Segmentation (2017 to 2021f)
5.1.1 U.S.
5.1.2 Canada
5.1.3 Mexico
5.2 Product Type Segmentation (2017 to 2021f)
5.2.1 Structured
5.2.2 Semi-Structured
5.2.3 Unstructured
5.3 Consumption Segmentation (2017 to 2021f)
5.3.1 Large Enterprises
5.3.2 SMEs
5.4 Impact of COVID-19 in North America
6 EUROPE MARKET SEGMENTATION
6.1 Region Segmentation (2017 to 2021f)
6.1.1 Germany
6.1.2 UK
6.1.3 France
6.1.4 Italy
6.1.5 Rest of Europe
6.2 Product Type Segmentation (2017 to 2021f)
6.2.1 Structured
6.2.2 Semi-Structured
6.2.3 Unstructured
6.3 Consumption Segmentation (2017 to 2021f)
6.3.1 Large Enterprises
6.3.2 SMEs
6.4 Impact of COVID-19 in Europe
7 ASIA-PACIFIC MARKET SEGMENTATION
7.1 Region Segmentation (2017 to 2021f)
7.1.1 China
7.1.2 India
7.1.3 Japan
7.1.4 South Korea
7.1.5 Southeast Asia
7.1.6 Australia
7.1.7 Rest of Asia Pacific
7.2 Product Type Segmentation (2017 to 2021f)
7.2.1 Structured
7.2.2 Semi-Structured
7.2.3 Unstructured
7.3 Consumption Segmentation (2017 to 2021f)
7.3.1 Large Enterprises
7.3.2 SMEs
7.4 Impact of COVID-19 in Europe
8 SOUTH AMERICA MARKET SEGMENTATION
8.1 Region Segmentation (2017 to 2021f)
8.1.1 Brazil
8.1.2 Argentina
8.1.3 Rest of Latin America
8.2 Product Type Segmentation (2017 to 2021f)
8.2.1 Structured
8.2.2 Semi-Structured
8.2.3 Unstructured
8.3 Consumption Segmentation (2017 to 2021f)
8.3.1 Large Enterprises
8.3.2 SMEs
8.4 Impact of COVID-19 in Europe
9 MIDDLE EAST AND AFRICA MARKET SEGMENTATION
9.1 Region Segmentation (2017 to 2021f)
9.1.1 GCC
9.1.2 North Africa
9.1.3 South Africa
9.1.4 Rest of Middle East and Africa
9.2 Product Type Segmentation (2017 to 2021f)
9.2.1 Structured
9.2.2 Semi-Structured
9.2.3 Unstructured
9.3 Consumption Segmentation (2017 to 2021f)
9.3.1 Large Enterprises
9.3.2 SMEs
9.4 Impact of COVID-19 in Europe
10 COMPETITION OF MAJOR PLAYERS
10.1 Brief Introduction of Major Players
10.1.1 Hewlett Packard Enterprise
10.1.2 IBM
10.1.3 Microsoft
10.1.4 Oracle
10.1.5 Hitachi
10.1.6 SAP
10.1.7 Google
10.1.8 Amazon
10.1.9 Accenture
10.1.10 TIBCO
10.1.11 Tableau
10.2 Big Data Analytics in Tourism Sales Date of Major Players (2017-2020e)
10.2.1 Hewlett Packard Enterprise
10.2.2 IBM
10.2.3 Microsoft
10.2.4 Oracle
10.2.5 Hitachi
10.2.6 SAP
10.2.7 Google
10.2.8 Amazon
10.2.9 Accenture
10.2.10 TIBCO
10.2.11 Tableau
10.3 Market Distribution of Major Players
10.4 Global Competition Segmentation
11 MARKET FORECAST
11.1 Forecast by Region
11.2 Forecast by Demand
11.3 Environment Forecast
11.3.1 Impact of COVID-19
11.3.2 Geopolitics Overview
11.3.3 Economic Overview of Major Countries
12 REPORT SUMMARY STATEMENT

List of Figure

List of Table
1.Table Big Data Analytics in Tourism Product Type Overview
2.Table Big Data Analytics in Tourism Product Type Market Share List
3.Table Big Data Analytics in Tourism Product Type of Major Players
4.Table Brief Introduction of Hewlett Packard Enterprise
5.Table Brief Introduction of IBM
6.Table Brief Introduction of Microsoft
7.Table Brief Introduction of Oracle
8.Table Brief Introduction of Hitachi
9.Table Brief Introduction of SAP
10.Table Brief Introduction of Google
11.Table Brief Introduction of Amazon
12.Table Brief Introduction of Accenture
13.Table Brief Introduction of TIBCO
14.Table Brief Introduction of Tableau
15.Table Products & Services of Hewlett Packard Enterprise
16.Table Products & Services of IBM
17.Table Products & Services of Microsoft
18.Table Products & Services of Oracle
19.Table Products & Services of Hitachi
20.Table Products & Services of SAP
21.Table Products & Services of Google
22.Table Products & Services of Amazon
23.Table Products & Services of Accenture
24.Table Products & Services of TIBCO
25.Table Products & Services of Tableau
26.Table Market Distribution of Major Players
27.Table Global Major Players Sales Revenue (Million USD) 2017-2020e
28.Table Global Major Players Sales Revenue (Million USD) Share 2017-2020e
29.Table Global Big Data Analytics in Tourism Market Forecast (Million USD) by Region 2021f-2026f
30.Table Global Big Data Analytics in Tourism Market Forecast (Million USD) Share by Region 2021f-2026f
31.Table Global Big Data Analytics in Tourism Market Forecast (Million USD) by Demand 2021f-2026f
32.Table Global Big Data Analytics in Tourism Market Forecast (Million USD) Share by Demand 2021f-2026f