Global Big Data Analytics in Tourism Market Research Report 2024

Publication ID:

PB502246635

Publication Date:

March 7, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Big data is a term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage and process the data with low latency. Big Data in Tourism is specially for Tourism industry.

The global Big Data Analytics in Tourism market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.

North American market for Big Data Analytics in Tourism is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

Asia-Pacific market for Big Data Analytics in Tourism is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The global market for Big Data Analytics in Tourism in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The major global companies of Big Data Analytics in Tourism include Hewlett Packard Enterprise, IBM, Microsoft, Oracle, Hitachi, SAP, Google, Amazon and Accenture, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.

This report aims to provide a comprehensive presentation of the global market for Big Data Analytics in Tourism, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Big Data Analytics in Tourism.

Report Scope

The Big Data Analytics in Tourism market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Big Data Analytics in Tourism market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Big Data Analytics in Tourism companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

Market Segmentation

By Company

Hewlett Packard Enterprise

IBM

Microsoft

Oracle

Hitachi

SAP

Google

Amazon

Accenture

TIBCO

Tableau

Segment by Type

Structured

Semi-Structured

Unstructured

Segment by Application

Large Enterprises

SMEs

By Region

North America

United States

Canada

Europe

Germany

France

Italy

Russia

Nordic Countries

Rest of Europe

Asia-Pacific

China

Japan

South Korea

Southeast Asia

India

Australia

Rest of Asia

Latin America

Mexico

Brazil

Rest of Latin America

Middle East & Africa

Turkey

Saudi Arabia

UAE

Rest of MEA

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 market and its likely evolution in the short to mid-term, and long term.

Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.

Chapter 3: Detailed analysis of Big Data Analytics in Tourism companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 5: Provides the analysis of various market segments by 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It 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 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.

Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview

1.1 Study Scope

1.2 Market Analysis by Type

1.2.1 Global Big Data Analytics in Tourism Market Size Growth Rate by Type: 2019 VS 2023 VS 2030

1.2.2 Structured

1.2.3 Semi-Structured

1.2.4 Unstructured

1.3 Market by Application

1.3.1 Global Big Data Analytics in Tourism Market Growth by Application: 2019 VS 2023 VS 2030

1.3.2 Large Enterprises

1.3.3 SMEs

1.4 Study Objectives

1.5 Years Considered

1.6 Years Considered

2 Global Growth Trends

2.1 Global Big Data Analytics in Tourism Market Perspective (2019-2030)

2.2 Big Data Analytics in Tourism Growth Trends by Region

2.2.1 Global Big Data Analytics in Tourism Market Size by Region: 2019 VS 2023 VS 2030

2.2.2 Big Data Analytics in Tourism Historic Market Size by Region (2019-2024)

2.2.3 Big Data Analytics in Tourism Forecasted Market Size by Region (2025-2030)

2.3 Big Data Analytics in Tourism Market Dynamics

2.3.1 Big Data Analytics in Tourism Industry Trends

2.3.2 Big Data Analytics in Tourism Market Drivers

2.3.3 Big Data Analytics in Tourism Market Challenges

2.3.4 Big Data Analytics in Tourism Market Restraints

3 Competition Landscape by Key Players

3.1 Global Top Big Data Analytics in Tourism Players by Revenue

3.1.1 Global Top Big Data Analytics in Tourism Players by Revenue (2019-2024)

3.1.2 Global Big Data Analytics in Tourism Revenue Market Share by Players (2019-2024)

3.2 Global Big Data Analytics in Tourism Market Share by Company Type (Tier 1, Tier 2, and Tier 3)

3.3 Players Covered: Ranking by Big Data Analytics in Tourism Revenue

3.4 Global Big Data Analytics in Tourism Market Concentration Ratio

3.4.1 Global Big Data Analytics in Tourism Market Concentration Ratio (CR5 and HHI)

3.4.2 Global Top 10 and Top 5 Companies by Big Data Analytics in Tourism Revenue in 2023

3.5 Big Data Analytics in Tourism Key Players Head office and Area Served

3.6 Key Players Big Data Analytics in Tourism Product Solution and Service

3.7 Date of Enter into Big Data Analytics in Tourism Market

3.8 Mergers & Acquisitions, Expansion Plans

4 Big Data Analytics in Tourism Breakdown Data by Type

4.1 Global Big Data Analytics in Tourism Historic Market Size by Type (2019-2024)

4.2 Global Big Data Analytics in Tourism Forecasted Market Size by Type (2025-2030)

5 Big Data Analytics in Tourism Breakdown Data by Application

5.1 Global Big Data Analytics in Tourism Historic Market Size by Application (2019-2024)

5.2 Global Big Data Analytics in Tourism Forecasted Market Size by Application (2025-2030)

6 North America

6.1 North America Big Data Analytics in Tourism Market Size (2019-2030)

6.2 North America Big Data Analytics in Tourism Market Growth Rate by Country: 2019 VS 2023 VS 2030

6.3 North America Big Data Analytics in Tourism Market Size by Country (2019-2024)

6.4 North America Big Data Analytics in Tourism Market Size by Country (2025-2030)

6.5 United States

6.6 Canada

7 Europe

7.1 Europe Big Data Analytics in Tourism Market Size (2019-2030)

7.2 Europe Big Data Analytics in Tourism Market Growth Rate by Country: 2019 VS 2023 VS 2030

7.3 Europe Big Data Analytics in Tourism Market Size by Country (2019-2024)

7.4 Europe Big Data Analytics in Tourism Market Size by Country (2025-2030)

7.5 Germany

7.6 France

7.7 U.K.

7.8 Italy

7.9 Russia

7.10 Nordic Countries

8 Asia-Pacific

8.1 Asia-Pacific Big Data Analytics in Tourism Market Size (2019-2030)

8.2 Asia-Pacific Big Data Analytics in Tourism Market Growth Rate by Region: 2019 VS 2023 VS 2030

8.3 Asia-Pacific Big Data Analytics in Tourism Market Size by Region (2019-2024)

8.4 Asia-Pacific Big Data Analytics in Tourism Market Size by Region (2025-2030)

8.5 China

8.6 Japan

8.7 South Korea

8.8 Southeast Asia

8.9 India

8.10 Australia

9 Latin America

9.1 Latin America Big Data Analytics in Tourism Market Size (2019-2030)

9.2 Latin America Big Data Analytics in Tourism Market Growth Rate by Country: 2019 VS 2023 VS 2030

9.3 Latin America Big Data Analytics in Tourism Market Size by Country (2019-2024)

9.4 Latin America Big Data Analytics in Tourism Market Size by Country (2025-2030)

9.5 Mexico

9.6 Brazil

10 Middle East & Africa

10.1 Middle East & Africa Big Data Analytics in Tourism Market Size (2019-2030)

10.2 Middle East & Africa Big Data Analytics in Tourism Market Growth Rate by Country: 2019 VS 2023 VS 2030

10.3 Middle East & Africa Big Data Analytics in Tourism Market Size by Country (2019-2024)

10.4 Middle East & Africa Big Data Analytics in Tourism Market Size by Country (2025-2030)

10.5 Turkey

10.6 Saudi Arabia

10.7 UAE

11 Key Players Profiles

11.1 Hewlett Packard Enterprise

11.1.1 Hewlett Packard Enterprise Company Detail

11.1.2 Hewlett Packard Enterprise Business Overview

11.1.3 Hewlett Packard Enterprise Big Data Analytics in Tourism Introduction

11.1.4 Hewlett Packard Enterprise Revenue in Big Data Analytics in Tourism Business (2019-2024)

11.1.5 Hewlett Packard Enterprise Recent Development

11.2 IBM

11.2.1 IBM Company Detail

11.2.2 IBM Business Overview

11.2.3 IBM Big Data Analytics in Tourism Introduction

11.2.4 IBM Revenue in Big Data Analytics in Tourism Business (2019-2024)

11.2.5 IBM Recent Development

11.3 Microsoft

11.3.1 Microsoft Company Detail

11.3.2 Microsoft Business Overview

11.3.3 Microsoft Big Data Analytics in Tourism Introduction

11.3.4 Microsoft Revenue in Big Data Analytics in Tourism Business (2019-2024)

11.3.5 Microsoft Recent Development

11.4 Oracle

11.4.1 Oracle Company Detail

11.4.2 Oracle Business Overview

11.4.3 Oracle Big Data Analytics in Tourism Introduction

11.4.4 Oracle Revenue in Big Data Analytics in Tourism Business (2019-2024)

11.4.5 Oracle Recent Development

11.5 Hitachi

11.5.1 Hitachi Company Detail

11.5.2 Hitachi Business Overview

11.5.3 Hitachi Big Data Analytics in Tourism Introduction

11.5.4 Hitachi Revenue in Big Data Analytics in Tourism Business (2019-2024)

11.5.5 Hitachi Recent Development

11.6 SAP

11.6.1 SAP Company Detail

11.6.2 SAP Business Overview

11.6.3 SAP Big Data Analytics in Tourism Introduction

11.6.4 SAP Revenue in Big Data Analytics in Tourism Business (2019-2024)

11.6.5 SAP Recent Development

11.7 Google

11.7.1 Google Company Detail

11.7.2 Google Business Overview

11.7.3 Google Big Data Analytics in Tourism Introduction

11.7.4 Google Revenue in Big Data Analytics in Tourism Business (2019-2024)

11.7.5 Google Recent Development

11.8 Amazon

11.8.1 Amazon Company Detail

11.8.2 Amazon Business Overview

11.8.3 Amazon Big Data Analytics in Tourism Introduction

11.8.4 Amazon Revenue in Big Data Analytics in Tourism Business (2019-2024)

11.8.5 Amazon Recent Development

11.9 Accenture

11.9.1 Accenture Company Detail

11.9.2 Accenture Business Overview

11.9.3 Accenture Big Data Analytics in Tourism Introduction

11.9.4 Accenture Revenue in Big Data Analytics in Tourism Business (2019-2024)

11.9.5 Accenture Recent Development

11.10 TIBCO

11.10.1 TIBCO Company Detail

11.10.2 TIBCO Business Overview

11.10.3 TIBCO Big Data Analytics in Tourism Introduction

11.10.4 TIBCO Revenue in Big Data Analytics in Tourism Business (2019-2024)

11.10.5 TIBCO Recent Development

11.11 Tableau

11.11.1 Tableau Company Detail

11.11.2 Tableau Business Overview

11.11.3 Tableau Big Data Analytics in Tourism Introduction

11.11.4 Tableau Revenue in Big Data Analytics in Tourism Business (2019-2024)

11.11.5 Tableau Recent Development

12 Analyst's Viewpoints/Conclusions

13 Appendix

13.1 Research Methodology

13.1.1 Methodology/Research Approach

13.1.2 Data Source

13.2 Disclaimer

13.3 Author Details

Companies Mentioned:

Hewlett Packard Enterprise

IBM

Microsoft

Oracle

Hitachi

SAP

Google

Amazon

Accenture

TIBCO

Tableau

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