Global Big Data Analytics in Tourism Market by Player, Region, Type, Application and Sales Channel

This report studies the Big Data Analytics in Tourism market, covering market size for segment by type (Structured, Semi-Structured, etc.), by application (SMEs, Large Enterprises, etc.), by sales channel (Direct Channel, Distribution Channel), by player (Microsoft, Google, AWS, IBM, Dell, etc.) and by region (North America, Europe, Asia-Pacific, South America and Middle East & Africa).

This report provides detailed historical analysis of global market for Big Data Analytics in Tourism from 2017-2022, and provides extensive market forecasts from 2023-2031 by region/country and subsectors. It covers the sales/revenue/value, gross margin, historical growth and future perspectives in the Big Data Analytics in Tourism market.

Moreover, the impact of COVID-19 is also concerned. Since outbreak in December 2019, the COVID-19 virus has spread to all around the world and caused huge losses of lives and economy, and the global manufacturing, tourism and financial markets have been hit hard, while the online market/industry increase. Fortunately, with the development of vaccine and other effort by global governments and organizations, the negative impact of COVID-19 is expected to subside and the global economy is expected to recover.

This research covers COVID-19 impacts on the upstream, midstream and downstream industries. Moreover, this research provides an in-depth market evaluation by highlighting information on various aspects covering market dynamics like drivers, barriers, opportunities, threats, and industry news & trends. In the end, this report also provides in-depth analysis and professional advices on how to face the post COIVD-19 period.

The research methodology used to estimate and forecast this market begins by capturing the revenues of the key players and their shares in the market. Various secondary sources such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, have been used to identify and collect information useful for this extensive commercial study of the market. Calculations based on this led to the overall market size. After arriving at the overall market size, the total market has been split into several segments and subsegments, which have then been verified through primary research by conducting extensive interviews with industry experts such as CEOs, VPs, directors, and executives. The data triangulation and market breakdown procedures have been employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments.

Leading players of Big Data Analytics 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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