Big Data in Travel and Tourism - Thematic Research
Big Data in Travel and Tourism - Thematic Research
Summary
Big data is increasingly important for travel and tourism companies as the sheer amount of data collected needs to be properly analysed to make informed decisions.
This thematic research report takes an in-depth look at the theme of big data and the impact it has on the industry, its players, and also on tourists. The report covers the main themes occurring in the industry, real-life case studies a unique thematic analysis of the impact on the industry including recommendations for travel & tourism companies. Additionally, we highlight the public and private companies involved with big data.
“The travel and tourism industry can be made more profitable and efficient with big data analytics. Billions of trips are taken each year and each of these creates multiple data points that are easily recorded through ticket purchases, hotel bookings, and internet searches. Companies are investing in the technology to different extents and those that are only doing so superficially will likely fall behind those that fully understand the power of big data analysis.” - Laura Beaton
Key Highlights
With the huge amount of information collected about travelers around the world, companies are able to make use of targeted marketing to attract the right customers at the right time.
The misuse and mishandling of personal data is a hot topic, thanks in large part to the scandal involving Facebook and Cambridge Analytica. Increased regulation around the storage and processing of data is highly likely - indeed, it is already underway in Europe in the form of the General Data Protection Regulation (GDPR), which came into force in May 2018.
The full-scale mainstream adoption of 5G, which is still a few years away, has the potential to increase data consumption globally. 5G is expected to enable faster speeds (up to 20 gigabits per second (Gbps) per user) and connect around one million devices per square kilometer (approximately 10 times more than with 4G).
So many aspects of booking can be affected by big data analytics - marketing, pricing, and seat or hotel room allocation are just some of these. According to the GlobalData 2019 Q3 survey, online travel agents (OTAs) are the most used avenue for booking travel.
Big data is continuously changing the way tourism brands price and target their customers, by providing more tailored and ultimately better product and service offerings based on the available information. This translates to dynamic pricing (adjusting ticket and room prices based on demand) to ensure firstly that prices remain competitive, and secondly to reduce the likelihood of lost revenue through a lack of bookings.
Scope
- This report provides an overview of the impact of big data analytics on tourism and clearly defines the various faces of the theme.
- It identifies the main trends related to the theme, classified into six categories: travel & tourism trends; data trends; technology trends; data center trends; macroeconomic trends; and regulatory trends.
- This report identifies several case studies to illustrate how big data impacts the industry, including examples from British Airways & Hilton Hotels & Resorts. Additionally, it provides an insight into what companies are doing to increase their understanding of the technology.
- Our unique thematic methodology provides an in-depth analysis on the impact of the theme on the travel & tourism industry, underlining several ways that companies can use big data to improve their operations.
- We highlight public and private companies involved with big data, including Airbnb and Hopper.
Reasons to buy
- Understand the impacts of big data on travel & tourism companies, using case studies and examples to help you understand how you can learn about and adapt to the technology.
- Assess the strategies that companies are adopting to collect, analyse and use the wealth of data available to them.
- GlobalData’s thematic research ecosystem is a single, integrated global research platform that provides an easy-to-use framework for tracking all themes across all companies in all sectors. It has a proven track record of identifying the important themes early, enabling companies to make the right investments ahead of the competition, and secure that all-important competitive advantage.
Companies Mentioned in the Report
Airbnb, Accor, Lufthansa, Google Travel, British Airways, Ctrip.com, Booking.com, Hopper, Marriott International, OYO
Players
Technology briefing
Trends
Travel & tourism trends
Data trends
Technology trends
Data center trends
Macroeconomic trends
Regulatory trends
Industry analysis
Mergers and acquisitions
Timeline
Impact on the travel & tourism industry
Travel & tourism case studies
Recommendations for travel & tourism companies
Value chain
Big data generation
Big data management
Data governance and security
Business intelligence
Data analysis
Data storage
Data processing
Data aggregation
Data integration
Big data product development
Big data consumption
Companies
Public companies
Private companies
Travel & tourism companies
Glossary
Appendix: Our thematic research methodology
Research Methodology
The research study released with title "Big Data in Travel and Tourism - Thematic Research" 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.Key Executives Interviewed
Research Programs/Design
| Historical Data (2017-2022E) |
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| Market Forecast (2023F-2028F) |
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Market Size Estimation
Top-down and bottom-up approaches are used to validate and estimate the global/regional market size by manufacturers, regional splits, product segments and application.
To establish Research coverage of the study with most relevant & functional players HTF MI follows industry standards such as NAICS/SIC/ICB/TRCB, furthermore the sorted list of companies is validated using Product Mapping and business activities and shortlisted by industry perspective.
HTF MI select experienced analyst and associate that are specialized in the domain for conducting research. They prepare a list of companies by region that helps to understand players penetration rate in the market. This companies are further analyses in what segment or application they serve in our market. The list of product and applications are evaluated for each companies dealing in the Big Data in Travel and Tourism Thematic Research. 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 Online) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders etc from Big Data in Travel and Tourism Thematic Research who then work towards appointment generation.
Primary Data Collection
The primary research is performed by taking the interviews of executives of various companies dealing in the Big Data in Travel and Tourism Thematic Research as well as using the survey reports, research institute, and latest research reports. Meanwhile, analyst team keeps preparing set of questionnaires and relevant list of appointee or target primary respondents; 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 & In Mail, Community Forums, Open Survey, SurveyMonkey etc.
Secondary Sources
The secondary resources considered in the Big Data in Travel and Tourism Thematic Research study includes company annual reports, press releases, published articles of organizations and associations, and the survey taken through different mediums such as online website and forums, survey monkey, LinkedIn, etc. In addition, the valuable strategic information obtained from industry association, paid database, and investor presentations are also good tool for information to make appropriate iterative validation are used to modify market models and cross-verify primary research and insights.
Market Breakdown and Data Triangulation
To make market engineering data complete; extensive primary research is conducted to gather information and validate the critical numbers derived to be used for calculations of market statistics; market size estimations; forecasting; breakdown; and data triangulation. Both top-down and bottom-up approaches were applied, 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. Furthermore qualitative and further quantitative analysis is also done for all the numbers arrived at in the market estimation process to list relevant information in the final deliverable report "Big Data in Travel and Tourism - Thematic Research" .
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Key Information from Primary Sources
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| Format | Properties | |
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| 1-User Access | The report is sent in PDF format. The report will be emailed to you. | This is a single user access license, allowing one specific user to access the report. |
| Site User | The study would be provided in PDF format. The report will be emailed to you. | This is a site license, allowing 1-10 employees within your organisation to access the report. |
| Enterprise User | The format of deliverable would be PDF and Excel. | This is an enterprise or corporate license, allowing all employees within your organisation irrespective of geographic location to access the report. |
