The global Big Data in Tourism market was valued at $XX million in 2020, predict the global market size will reach $XX million by the end of 2030, growing at a CAGR of XX% between 2021 and 2030.

Since the COVID-19 virus outbreak in December 2019, the disease has spread to all countries and territories around the world and 2 international conveyances. The global impacts of COVID-19 are already starting to be felt, and will significantly affect this industry in 2020 and 2021.

This report analyses the impact of COVID-19 on this industry. COVID-19 can affect the global market in 3 ways: by directly affecting production and demand, by creating supply chain and market disruption, and by its financial impact on enterprises and financial markets.

This report provides detailed historical analysis of global market for Big Data in Tourism from 2015-2020, and provides extensive market forecasts from 2021-2030 by region/country and subsectors. It covers the sales volume, price, revenue, gross margin, historical growth and future perspectives in the Big Data in Tourism market.

Leading players of Big Data in Tourism including:

Microsoft

Google

AWS

IBM

Dell

Splunk

Micro Focus

SAP

Accenture

Informatica

Teradata

Oracle

Cloudera

Palantir

HPE

Cisco

SAS

Alteryx

Continuum Analytics

DataStax

Doopex

Hitachi Data Systems

KPMG

New Relic

Orchestra Networks

Predixion Software

Riversand Technologies

Stibo Systems

Tableau

TIBCO Software

Market split by Type, can be divided into:

Structured

Semi-Structured

Unstructured

Market split by Application, can be divided into:

SMEs

Large Enterprises

Market split by Sales Channel, can be divided into:

Direct Channel

Distribution Channel

Market segment by Region/Country including:

North America (United States, Canada and Mexico)

Europe (Germany, UK, France, Italy, Russia and Spain etc.)

Asia-Pacific (China, Japan, Korea, India, Australia and Southeast Asia etc.)

South America (Brazil, Argentina and Colombia etc.)

Middle East & Africa (South Africa, UAE and Saudi Arabia etc.)

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Chapter 1 Big Data in Tourism Market Overview

1.1 Big Data in Tourism Definition

1.2 Global Big Data in Tourism Market Size Status and Outlook (2015-2030)

1.3 Global Big Data in Tourism Market Size Comparison by Region (2015-2030)

1.4 Global Big Data in Tourism Market Size Comparison by Type (2015-2030)

1.5 Global Big Data in Tourism Market Size Comparison by Application (2015-2030)

1.6 Global Big Data in Tourism Market Size Comparison by Sales Channel (2015-2030)

1.7 Big Data in Tourism Market Dynamics (COVID-19 Impacts)

1.7.1 Market Drivers/Opportunities

1.7.2 Market Challenges/Risks

1.7.3 Market News (Mergers/Acquisitions/Expansion)

1.7.4 COVID-19 Impacts on Current Market

1.7.5 Post-Strategies of COVID-19 Outbreak

Chapter 2 Big Data in Tourism Market Segment Analysis by Player

2.1 Global Big Data in Tourism Sales and Market Share by Player (2018-2020)

2.2 Global Big Data in Tourism Revenue and Market Share by Player (2018-2020)

2.3 Global Big Data in Tourism Average Price by Player (2018-2020)

2.4 Players Competition Situation & Trends

2.5 Conclusion of Segment by Player

Chapter 3 Big Data in Tourism Market Segment Analysis by Type

3.1 Global Big Data in Tourism Market by Type

3.1.1 Structured

3.1.2 Semi-Structured

3.1.3 Unstructured

3.2 Global Big Data in Tourism Sales and Market Share by Type (2015-2020)

3.3 Global Big Data in Tourism Revenue and Market Share by Type (2015-2020)

3.4 Global Big Data in Tourism Average Price by Type (2015-2020)

3.5 Leading Players of Big Data in Tourism by Type in 2020

3.6 Conclusion of Segment by Type

Chapter 4 Big Data in Tourism Market Segment Analysis by Application

4.1 Global Big Data in Tourism Market by Application

4.1.1 SMEs

4.1.2 Large Enterprises

4.2 Global Big Data in Tourism Revenue and Market Share by Application (2015-2020)

4.3 Leading Consumers of Big Data in Tourism by Application in 2020

4.4 Conclusion of Segment by Application

Chapter 5 Big Data in Tourism Market Segment Analysis by Sales Channel

5.1 Global Big Data in Tourism Market by Sales Channel

5.1.1 Direct Channel

5.1.2 Distribution Channel

5.2 Global Big Data in Tourism Revenue and Market Share by Sales Channel (2015-2020)

5.3 Leading Distributors/Dealers of Big Data in Tourism by Sales Channel in 2020

5.4 Conclusion of Segment by Sales Channel

Chapter 6 Big Data in Tourism Market Segment Analysis by Region

6.1 Global Big Data in Tourism Market Size and CAGR by Region (2015-2030)

6.2 Global Big Data in Tourism Sales and Market Share by Region (2015-2020)

6.3 Global Big Data in Tourism Revenue and Market Share by Region (2015-2020)

6.4 North America

6.4.1 North America Market by Country

6.4.2 North America Big Data in Tourism Market Share by Type

6.4.3 North America Big Data in Tourism Market Share by Application

6.4.4 United States

6.4.5 Canada

6.4.6 Mexico

6.5 Europe

6.5.1 Europe Market by Country

6.5.2 Europe Big Data in Tourism Market Share by Type

6.5.3 Europe Big Data in Tourism Market Share by Application

6.5.4 Germany

6.5.5 UK

6.5.6 France

6.5.7 Italy

6.5.8 Russia

6.5.9 Spain

6.6 Asia-Pacific

6.6.1 Asia-Pacific Market by Country

6.6.2 Asia-Pacific Big Data in Tourism Market Share by Type

6.6.3 Asia-Pacific Big Data in Tourism Market Share by Application

6.6.4 China

6.6.5 Japan

6.6.6 Korea

6.6.7 India

6.6.8 Southeast Asia

6.6.9 Australia

6.7 South America

6.7.1 South America Market by Country

6.7.2 South America Big Data in Tourism Market Share by Type

6.7.3 South America Big Data in Tourism Market Share by Application

6.7.4 Brazil

6.7.5 Argentina

6.7.6 Colombia

6.8 Middle East & Africa

6.8.1 Middle East & Africa Market by Country

6.8.2 Middle East & Africa Big Data in Tourism Market Share by Type

6.8.3 Middle East & Africa Big Data in Tourism Market Share by Application

6.8.4 UAE

6.8.5 Saudi Arabia

6.8.6 South Africa

6.9 Conclusion of Segment by Region

Chapter 7 Profile of Leading Big Data in Tourism Players

7.1 Microsoft

7.1.1 Company Snapshot

7.1.2 Product/Service Offered

7.1.3 Business Performance (Sales, Price, Revenue, Gross Margin and Market Share)

7.1.4 COVID-19 Impact on Microsoft

7.2 Google

7.3 AWS

7.4 IBM

7.5 Dell

7.6 Splunk

7.7 Micro Focus

7.8 SAP

7.9 Accenture

7.10 Informatica

7.11 Teradata

7.12 Oracle

7.13 Cloudera

7.14 Palantir

7.15 HPE

7.16 Cisco

7.17 SAS

7.18 Alteryx

7.19 Continuum Analytics

7.20 DataStax

7.21 Doopex

7.22 Hitachi Data Systems

7.23 KPMG

7.24 New Relic

7.25 Orchestra Networks

7.26 Predixion Software

7.27 Riversand Technologies

7.28 Stibo Systems

7.29 Tableau

7.29 Tableau

Chapter 8 Upstream and Downstream Analysis of Big Data in Tourism

8.1 Industrial Chain of Big Data in Tourism

8.2 Upstream of Big Data in Tourism

8.2.1 Raw Materials

8.2.2 Labor Cost

8.2.3 Manufacturing Expenses

8.2.4 Manufacturing Cost Structure

8.2.5 Manufacturing Process

8.3 Downstream of Big Data in Tourism

8.3.1 Leading Distributors/Dealers of Big Data in Tourism

8.3.2 Leading Consumers of Big Data in Tourism

Chapter 9 Development Trend of Big Data in Tourism (2021-2030)

9.1 Global Big Data in Tourism Market Size (Sales and Revenue) Forecast (2021-2030)

9.2 Global Big Data in Tourism Market Size and CAGR Forecast by Region (2021-2030)

9.3 Global Big Data in Tourism Market Size and CAGR Forecast by Type (2021-2030)

9.4 Global Big Data in Tourism Market Size and CAGR Forecast by Application (2021-2030)

9.5 Global Big Data in Tourism Market Size and CAGR Forecast by Sales Channel (2021-2030)

Chapter 10 Appendix

10.1 Research Methodology

10.2 Data Sources

10.3 Disclaimer

10.4 Analysts Certification

Methodology/Research Approach

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

Research Programs/Design

Historical Data (2015-2019)	Industry Trends Competitive Landscape By Company Expansion Mergers and Acquisitions Market Segment by Type by Application By Regions/ Geography	Value Status and Outlook Value for Major Players Market Share Growth Rate Present Situation Analysis Value Market Share Growth Rate Present Situation Analysis
Influencing Factors	Market Environment Government Policy Technological Changes Market Risks	Market Drivers Growing Demand of Downstream Reduction in Cost
Market Forecast (2021-2026)	Overall Size by Type by Application By Regions/Geography	Key Data (Value) Market Share Growth Rate CAGR (2021-2026)

Market Size Estimation

Top-down and bottom-up approaches are used to validate the global Voluntary Carbon Offset market size market and estimate the market size for Company, regions segments, product segments and Application (end users).

The market estimations in this report are based on the marketed sale price of Voluntary Carbon Offset (excluding any discounts provided by the player, distributor, wholesaler or traders). The percentage splits, market share, and breakdowns of the product segments are derived on the basis of weights assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall Voluntary Carbon Offset market and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.

Major Company in the market is identified through secondary research and their market revenues determined through primary and secondary research. Secondary research included the research of the annual and financial reports of the top Company; whereas, primary research included extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs and marketing executives. The percentage splits, market share, Growth Rate and breakdowns of the product markets are determined through using secondary sources and verified through the primary sources.

All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Market Intellix and presented in this report

The following figure shows an illustrative representation of the overall market size estimation process used for this study.

Market Breakdown and Data Triangulation

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.

Data Source

Secondary Sources

Secondary sources include such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, etc. This research study involves the usage of widespread secondary sources, directories, databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), and TRADING ECONOMICS, and News Network, statista, Federal Reserve Economic Data, annual reports, BIS Statistics, ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and Hospitals study of the Voluntary Carbon Offset market. It was also used to obtain important information about the top companies, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.

Market Size	Segmental value Geographic Penetration Product Adoption Rate for Different market	Journals, Websites, and Press Releases Annual Reports and SEC Filings Company Websites and Press Releases Public and Paid Databases Market Intellix Data Repository
Market Position of Top Company	Product Financials Geographic value Mix Total Company value Business/Segmental value Mix
Qualitative Analysis	Influence Factors Market Potential Market Risks and Opportunities Industry Trends Geographical Features Government Policies	Company Websites and Press Releases Public and Paid Databases Annual Reports Industry Associations Market Intellix Data Repository

Primary Sources

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Company (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end use (product buyers), and related key executives from various key companies and organizations operating in the global market.

Primary research was conducted to identify segmentation Type, product price range, product Application, key Company, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.

Key Executives Interviewed

Key Data Information from Primary Sources

Primary Sources	Parameters	Key Data
Market Segments(by Application, by Type)	Value by Type Status and Forecast Value by Application Value by Regions, Status and Forecast (2021-2026)	Value Market Share by Type Value Growth Rate by Type Value by Application Percentage and Growth Rate by Application Value Growth Rate and Market Share by Regions Market Size Status and Forecast (2021-2026)
Total Market	Overall Size, Status and Forecast	Market Size Status and Forecast (2021-2026)