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Global Cloud Computing in Tourism Market Research Report 2025(Status and Outlook)

Publisher Bosson Research
Published Jan 23, 2025
Length 132 Pages
SKU # BOSS19946281

Description

Report Overview

Cloud computing in the tourism industry refers to the use of remote servers hosted on the internet to store, manage, and process data and applications, providing various services to businesses in the sector. These services can include data storage, data analytics, customer relationship management (CRM) systems, booking platforms, and more. By utilizing cloud computing technology, tourism businesses can access their data and applications from anywhere with an internet connection, leading to increased efficiency, scalability, and cost-effectiveness.

The market for cloud computing in the tourism industry is experiencing significant growth due to several key market trends and drivers. Firstly, the increasing adoption of digital technologies in the tourism sector, such as online booking platforms, mobile apps, and personalized marketing strategies, is driving the demand for cloud-based solutions to support these initiatives. Additionally, the rise of big data and analytics in the industry is fueling the need for cloud computing services to store and analyze large volumes of data efficiently. Moreover, the shift towards remote work and virtual collaboration in the wake of the COVID-19 pandemic has accelerated the adoption of cloud-based tools and platforms in the tourism sector.

At the same time, the market for cloud computing in tourism is being driven by the growing focus on enhancing customer experiences and personalization. Cloud-based CRM systems and data analytics tools enable tourism businesses to gather and analyze customer data to offer personalized recommendations, targeted marketing campaigns, and improved customer service. Furthermore, the scalability and flexibility of cloud computing solutions allow tourism companies to adapt to changing market conditions quickly and efficiently, ensuring they can meet the evolving needs and demands of their customers. In addition, the cost-effectiveness of cloud computing services, with their pay-as-you-go pricing models and reduced need for on-premises infrastructure, is making them an attractive option for tourism businesses looking to optimize their operations and maximize their ROI.

This report provides a deep insight into the global Cloud Computing in Tourism market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, value chain analysis, etc.

The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global Cloud Computing in Tourism Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.

In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the Cloud Computing in Tourism market in any manner.

Global Cloud Computing in Tourism Market: Market Segmentation Analysis

The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.

Key Company

Huawei

Tencent

CMS

IBM

SAP SE

Adobe

Inc.

HCL Technologies

Amazon Web Services (AWS)

Hewlett-Packard Company (HPE)

Salesforce.com

Rackspace

Inc.

Microsoft Corporation

Oracle Corporation

Vmware

Market Segmentation (by Type)

Platform as a Service (Paas)

Infrastructure as a Service (Iaas)

Software as a Service (Saas)

Market Segmentation (by Application)

Government

Scenic Spot

Tourists

Other

Geographic Segmentation

North America (USA, Canada, Mexico)

Europe (Germany, UK, France, Russia, Italy, Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)

South America (Brazil, Argentina, Columbia, Rest of South America)

The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)

Key Benefits of This Market Research:

Industry drivers, restraints, and opportunities covered in the study

Neutral perspective on the market performance

Recent industry trends and developments

Competitive landscape & strategies of key players

Potential & niche segments and regions exhibiting promising growth covered

Historical, current, and projected market size, in terms of value

In-depth analysis of the Cloud Computing in Tourism Market

Overview of the regional outlook of the Cloud Computing in Tourism Market:

Key Reasons to Buy this Report:

Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change

This enables you to anticipate market changes to remain ahead of your competitors

You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents

The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly

Provision of market value (USD Billion) data for each segment and sub-segment

Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market

Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region

Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled

Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players

The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions

Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis

Provides insight into the market through Value Chain

Market dynamics scenario, along with growth opportunities of the market in the years to come

Chapter Outline

Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.

Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the Cloud Computing in Tourism Market and its likely evolution in the short to mid-term, and long term.

Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.

Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.

Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 7 provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.

Chapter 9 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.

Chapter 10 provides a quantitative analysis of the market size and development potential of each region in the next five years.

Chapter 11 provides a quantitative analysis of the market size and development potential of each market segment (product type and application) in the next five years.

Chapter 12 is the main points and conclusions of the report.

Table of Contents

132 Pages
1 Research Methodology and Statistical Scope
1.1 Market Definition and Statistical Scope of Cloud Computing in Tourism
1.2 Key Market Segments
1.2.1 Cloud Computing in Tourism Segment by Type
1.2.2 Cloud Computing in Tourism Segment by Application
1.3 Methodology & Sources of Information
1.3.1 Research Methodology
1.3.2 Research Process
1.3.3 Market Breakdown and Data Triangulation
1.3.4 Base Year
1.3.5 Report Assumptions & Caveats
2 Cloud Computing in Tourism Market Overview
2.1 Global Market Overview
2.2 Market Segment Executive Summary
2.3 Global Market Size by Region
3 Cloud Computing in Tourism Market Competitive Landscape
3.1 Company Assessment Quadrant
3.2 Global Cloud Computing in Tourism Product Life Cycle
3.3 Global Cloud Computing in Tourism Revenue Market Share by Company (2020-2025)
3.4 Cloud Computing in Tourism Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.5 Cloud Computing in Tourism Company Headquarters, Area Served, Product Type
3.6 Cloud Computing in Tourism Market Competitive Situation and Trends
3.6.1 Cloud Computing in Tourism Market Concentration Rate
3.6.2 Global 5 and 10 Largest Cloud Computing in Tourism Players Market Share by Revenue
3.6.3 Mergers & Acquisitions, Expansion
4 Cloud Computing in Tourism Value Chain Analysis
4.1 Cloud Computing in Tourism Value Chain Analysis
4.2 Midstream Market Analysis
4.3 Downstream Customer Analysis
5 The Development and Dynamics of Cloud Computing in Tourism Market
5.1 Key Development Trends
5.2 Driving Factors
5.3 Market Challenges
5.4 Market Restraints
5.5 Industry News
5.5.1 New Product Developments
5.5.2 Mergers & Acquisitions
5.5.3 Expansions
5.5.4 Collaboration/Supply Contracts
5.6 PEST Analysis
5.6.1 Industry Policies Analysis
5.6.2 Economic Environment Analysis
5.6.3 Social Environment Analysis
5.6.4 Technological Environment Analysis
5.7 Global Cloud Computing in Tourism Market Porter's Five Forces Analysis
6 Cloud Computing in Tourism Market Segmentation by Type
6.1 Evaluation Matrix of Segment Market Development Potential (Type)
6.2 Global Cloud Computing in Tourism Market Size Market Share by Type (2020-2025)
6.3 Global Cloud Computing in Tourism Market Size Growth Rate by Type (2021-2025)
7 Cloud Computing in Tourism Market Segmentation by Application
7.1 Evaluation Matrix of Segment Market Development Potential (Application)
7.2 Global Cloud Computing in Tourism Market Size (M USD) by Application (2020-2025)
7.3 Global Cloud Computing in Tourism Sales Growth Rate by Application (2020-2025)
8 Cloud Computing in Tourism Market Segmentation by Region
8.1 Global Cloud Computing in Tourism Market Size by Region
8.1.1 Global Cloud Computing in Tourism Market Size by Region
8.1.2 Global Cloud Computing in Tourism Market Size Market Share by Region
8.2 North America
8.2.1 North America Cloud Computing in Tourism Market Size by Country
8.2.2 U.S.
8.2.3 Canada
8.2.4 Mexico
8.3 Europe
8.3.1 Europe Cloud Computing in Tourism Market Size by Country
8.3.2 Germany
8.3.3 France
8.3.4 U.K.
8.3.5 Italy
8.3.6 Russia
8.4 Asia Pacific
8.4.1 Asia Pacific Cloud Computing in Tourism Market Size by Region
8.4.2 China
8.4.3 Japan
8.4.4 South Korea
8.4.5 India
8.4.6 Southeast Asia
8.5 South America
8.5.1 South America Cloud Computing in Tourism Market Size by Country
8.5.2 Brazil
8.5.3 Argentina
8.5.4 Columbia
8.6 Middle East and Africa
8.6.1 Middle East and Africa Cloud Computing in Tourism Market Size by Region
8.6.2 Saudi Arabia
8.6.3 UAE
8.6.4 Egypt
8.6.5 Nigeria
8.6.6 South Africa
9 Key Companies Profile
9.1 Huawei
9.1.1 Huawei Basic Information
9.1.2 Huawei Cloud Computing in Tourism Product Overview
9.1.3 Huawei Cloud Computing in Tourism Product Market Performance
9.1.4 Huawei Cloud Computing in Tourism SWOT Analysis
9.1.5 Huawei Business Overview
9.1.6 Huawei Recent Developments
9.2 Tencent
9.2.1 Tencent Basic Information
9.2.2 Tencent Cloud Computing in Tourism Product Overview
9.2.3 Tencent Cloud Computing in Tourism Product Market Performance
9.2.4 Tencent Cloud Computing in Tourism SWOT Analysis
9.2.5 Tencent Business Overview
9.2.6 Tencent Recent Developments
9.3 CMS
9.3.1 CMS Basic Information
9.3.2 CMS Cloud Computing in Tourism Product Overview
9.3.3 CMS Cloud Computing in Tourism Product Market Performance
9.3.4 CMS Cloud Computing in Tourism SWOT Analysis
9.3.5 CMS Business Overview
9.3.6 CMS Recent Developments
9.4 IBM
9.4.1 IBM Basic Information
9.4.2 IBM Cloud Computing in Tourism Product Overview
9.4.3 IBM Cloud Computing in Tourism Product Market Performance
9.4.4 IBM Business Overview
9.4.5 IBM Recent Developments
9.5 SAP SE
9.5.1 SAP SE Basic Information
9.5.2 SAP SE Cloud Computing in Tourism Product Overview
9.5.3 SAP SE Cloud Computing in Tourism Product Market Performance
9.5.4 SAP SE Business Overview
9.5.5 SAP SE Recent Developments
9.6 Adobe
9.6.1 Adobe Basic Information
9.6.2 Adobe Cloud Computing in Tourism Product Overview
9.6.3 Adobe Cloud Computing in Tourism Product Market Performance
9.6.4 Adobe Business Overview
9.6.5 Adobe Recent Developments
9.7 Inc.
9.7.1 Inc. Basic Information
9.7.2 Inc. Cloud Computing in Tourism Product Overview
9.7.3 Inc. Cloud Computing in Tourism Product Market Performance
9.7.4 Inc. Business Overview
9.7.5 Inc. Recent Developments
9.8 HCL Technologies
9.8.1 HCL Technologies Basic Information
9.8.2 HCL Technologies Cloud Computing in Tourism Product Overview
9.8.3 HCL Technologies Cloud Computing in Tourism Product Market Performance
9.8.4 HCL Technologies Business Overview
9.8.5 HCL Technologies Recent Developments
9.9 Amazon Web Services (AWS)
9.9.1 Amazon Web Services (AWS) Basic Information
9.9.2 Amazon Web Services (AWS) Cloud Computing in Tourism Product Overview
9.9.3 Amazon Web Services (AWS) Cloud Computing in Tourism Product Market Performance
9.9.4 Amazon Web Services (AWS) Business Overview
9.9.5 Amazon Web Services (AWS) Recent Developments
9.10 Hewlett-Packard Company (HPE)
9.10.1 Hewlett-Packard Company (HPE) Basic Information
9.10.2 Hewlett-Packard Company (HPE) Cloud Computing in Tourism Product Overview
9.10.3 Hewlett-Packard Company (HPE) Cloud Computing in Tourism Product Market Performance
9.10.4 Hewlett-Packard Company (HPE) Business Overview
9.10.5 Hewlett-Packard Company (HPE) Recent Developments
9.11 Salesforce.com
9.11.1 Salesforce.com Basic Information
9.11.2 Salesforce.com Cloud Computing in Tourism Product Overview
9.11.3 Salesforce.com Cloud Computing in Tourism Product Market Performance
9.11.4 Salesforce.com Business Overview
9.11.5 Salesforce.com Recent Developments
9.12 Rackspace
9.12.1 Rackspace Basic Information
9.12.2 Rackspace Cloud Computing in Tourism Product Overview
9.12.3 Rackspace Cloud Computing in Tourism Product Market Performance
9.12.4 Rackspace Business Overview
9.12.5 Rackspace Recent Developments
9.13 Inc.
9.13.1 Inc. Basic Information
9.13.2 Inc. Cloud Computing in Tourism Product Overview
9.13.3 Inc. Cloud Computing in Tourism Product Market Performance
9.13.4 Inc. Business Overview
9.13.5 Inc. Recent Developments
9.14 Microsoft Corporation
9.14.1 Microsoft Corporation Basic Information
9.14.2 Microsoft Corporation Cloud Computing in Tourism Product Overview
9.14.3 Microsoft Corporation Cloud Computing in Tourism Product Market Performance
9.14.4 Microsoft Corporation Business Overview
9.14.5 Microsoft Corporation Recent Developments
9.15 Oracle Corporation
9.15.1 Oracle Corporation Basic Information
9.15.2 Oracle Corporation Cloud Computing in Tourism Product Overview
9.15.3 Oracle Corporation Cloud Computing in Tourism Product Market Performance
9.15.4 Oracle Corporation Business Overview
9.15.5 Oracle Corporation Recent Developments
9.16 Vmware
9.16.1 Vmware Basic Information
9.16.2 Vmware Cloud Computing in Tourism Product Overview
9.16.3 Vmware Cloud Computing in Tourism Product Market Performance
9.16.4 Vmware Business Overview
9.16.5 Vmware Recent Developments
10 Cloud Computing in Tourism Market Forecast by Region
10.1 Global Cloud Computing in Tourism Market Size Forecast
10.2 Global Cloud Computing in Tourism Market Forecast by Region
10.2.1 North America Market Size Forecast by Country
10.2.2 Europe Cloud Computing in Tourism Market Size Forecast by Country
10.2.3 Asia Pacific Cloud Computing in Tourism Market Size Forecast by Region
10.2.4 South America Cloud Computing in Tourism Market Size Forecast by Country
10.2.5 Middle East and Africa Forecasted Sales of Cloud Computing in Tourism by Country
11 Forecast Market by Type and by Application (2026-2033)
11.1 Global Cloud Computing in Tourism Market Forecast by Type (2026-2033)
11.2 Global Cloud Computing in Tourism Market Forecast by Application (2026-2033)
12 Conclusion and Key Findings
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