Cloud-based big data refers to the storage, processing, and analysis of large volumes of data using cloud computing infrastructure and services. It combines the advantages of cloud computing with the capabilities of big data analytics. Cloud-based big data solutions leverage the infrastructure and services provided by cloud computing to store, process, and analyze large volumes of data. By utilizing cloud computing resources, businesses can overcome the limitations of traditional on-premises infrastructure and take advantage of the scalability, cost-effectiveness, flexibility, and advanced analytics capabilities offered by the cloud.
The global Cloud-based Big Data market was valued at US$ 65870 million in 2023 and is anticipated to reach US$ 122750 million by 2030, witnessing a CAGR of 9.3% during the forecast period 2024-2030.
The global cloud-based big data market has been experiencing significant growth in recent years. With the increasing volume, velocity, and variety of data being generated, organizations are turning to cloud-based solutions to store, process, and analyze their data. Cloud-based big data solutions offer scalability, flexibility, and cost-effectiveness, making them an attractive option for businesses of all sizes.
Several factors are driving the growth of the global cloud-based big data market. These include:
Increasing data volume: The amount of data being generated by organizations is growing exponentially. Cloud-based big data solutions provide the infrastructure and capabilities to handle large volumes of data efficiently.
Cost savings: Traditional on-premises big data infrastructure requires significant upfront investments in hardware and maintenance costs. Cloud-based solutions eliminate the need for such capital expenditures, allowing businesses to pay for the resources they use on a subscription or pay-as-you-go basis.
Scalability and flexibility: Cloud platforms offer virtually unlimited scalability, allowing businesses to easily scale up or down their data storage and processing resources based on demand. This flexibility enables organizations to handle variable workloads effectively.
Advanced analytics capabilities: Cloud-based big data solutions often come with built-in analytical tools and services, such as machine learning and AI capabilities. These advanced analytics features enable businesses to gain valuable insights, improve decision-making, and drive innovation.
Data security and compliance: Cloud providers invest heavily in ensuring the security and compliance of their services. Many cloud platforms have robust security measures, encryption options, and meet industry-standard compliance requirements, giving businesses peace of mind when it comes to data protection.
The global cloud-based big data market is highly competitive, with several key players dominating the industry. These include companies like Amazon Web Services (AWS), Microsoft, Google, IBM, Oracle, and SAP. However, there are also many smaller companies that specialize in specific aspects of cloud-based big data solutions.
This report aims to provide a comprehensive presentation of the global market for Cloud-based Big Data, 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 Cloud-based Big Data.
Report Scope
The Cloud-based Big Data 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 Cloud-based Big Data 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 Cloud-based Big Data 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
Teradata
Microsoft
IBM
Oracle
SAS Institute
Google
Adobe
Talend
TIBCO Software
Amazon Web Services (AWS)
Cloudera
Databricks
Snowflake
Informatica
Salesforce
Hortonworks
Qlik
Alteryx
Splunk
Segment by Type
Private Clouds
Public Clouds
Segment by Application
Finance
Marketing and Sales
Human Resources
Operations
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
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 Cloud-based Big Data 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.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Cloud-based Big Data Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Private Clouds
1.2.3 Public Clouds
1.3 Market by Application
1.3.1 Global Cloud-based Big Data Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Finance
1.3.3 Marketing and Sales
1.3.4 Human Resources
1.3.5 Operations
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Cloud-based Big Data Market Perspective (2019-2030)
2.2 Cloud-based Big Data Growth Trends by Region
2.2.1 Global Cloud-based Big Data Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Cloud-based Big Data Historic Market Size by Region (2019-2024)
2.2.3 Cloud-based Big Data Forecasted Market Size by Region (2025-2030)
2.3 Cloud-based Big Data Market Dynamics
2.3.1 Cloud-based Big Data Industry Trends
2.3.2 Cloud-based Big Data Market Drivers
2.3.3 Cloud-based Big Data Market Challenges
2.3.4 Cloud-based Big Data Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Cloud-based Big Data Players by Revenue
3.1.1 Global Top Cloud-based Big Data Players by Revenue (2019-2024)
3.1.2 Global Cloud-based Big Data Revenue Market Share by Players (2019-2024)
3.2 Global Cloud-based Big Data Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Cloud-based Big Data Revenue
3.4 Global Cloud-based Big Data Market Concentration Ratio
3.4.1 Global Cloud-based Big Data Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Cloud-based Big Data Revenue in 2023
3.5 Cloud-based Big Data Key Players Head office and Area Served
3.6 Key Players Cloud-based Big Data Product Solution and Service
3.7 Date of Enter into Cloud-based Big Data Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Cloud-based Big Data Breakdown Data by Type
4.1 Global Cloud-based Big Data Historic Market Size by Type (2019-2024)
4.2 Global Cloud-based Big Data Forecasted Market Size by Type (2025-2030)
5 Cloud-based Big Data Breakdown Data by Application
5.1 Global Cloud-based Big Data Historic Market Size by Application (2019-2024)
5.2 Global Cloud-based Big Data Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Cloud-based Big Data Market Size (2019-2030)
6.2 North America Cloud-based Big Data Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Cloud-based Big Data Market Size by Country (2019-2024)
6.4 North America Cloud-based Big Data Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Cloud-based Big Data Market Size (2019-2030)
7.2 Europe Cloud-based Big Data Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Cloud-based Big Data Market Size by Country (2019-2024)
7.4 Europe Cloud-based Big Data 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 Cloud-based Big Data Market Size (2019-2030)
8.2 Asia-Pacific Cloud-based Big Data Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Cloud-based Big Data Market Size by Region (2019-2024)
8.4 Asia-Pacific Cloud-based Big Data 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 Cloud-based Big Data Market Size (2019-2030)
9.2 Latin America Cloud-based Big Data Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Cloud-based Big Data Market Size by Country (2019-2024)
9.4 Latin America Cloud-based Big Data Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Cloud-based Big Data Market Size (2019-2030)
10.2 Middle East & Africa Cloud-based Big Data Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Cloud-based Big Data Market Size by Country (2019-2024)
10.4 Middle East & Africa Cloud-based Big Data Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Teradata
11.1.1 Teradata Company Detail
11.1.2 Teradata Business Overview
11.1.3 Teradata Cloud-based Big Data Introduction
11.1.4 Teradata Revenue in Cloud-based Big Data Business (2019-2024)
11.1.5 Teradata Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Cloud-based Big Data Introduction
11.2.4 Microsoft Revenue in Cloud-based Big Data Business (2019-2024)
11.2.5 Microsoft Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Cloud-based Big Data Introduction
11.3.4 IBM Revenue in Cloud-based Big Data Business (2019-2024)
11.3.5 IBM Recent Development
11.4 Oracle
11.4.1 Oracle Company Detail
11.4.2 Oracle Business Overview
11.4.3 Oracle Cloud-based Big Data Introduction
11.4.4 Oracle Revenue in Cloud-based Big Data Business (2019-2024)
11.4.5 Oracle Recent Development
11.5 SAS Institute
11.5.1 SAS Institute Company Detail
11.5.2 SAS Institute Business Overview
11.5.3 SAS Institute Cloud-based Big Data Introduction
11.5.4 SAS Institute Revenue in Cloud-based Big Data Business (2019-2024)
11.5.5 SAS Institute Recent Development
11.6 Google
11.6.1 Google Company Detail
11.6.2 Google Business Overview
11.6.3 Google Cloud-based Big Data Introduction
11.6.4 Google Revenue in Cloud-based Big Data Business (2019-2024)
11.6.5 Google Recent Development
11.7 Adobe
11.7.1 Adobe Company Detail
11.7.2 Adobe Business Overview
11.7.3 Adobe Cloud-based Big Data Introduction
11.7.4 Adobe Revenue in Cloud-based Big Data Business (2019-2024)
11.7.5 Adobe Recent Development
11.8 Talend
11.8.1 Talend Company Detail
11.8.2 Talend Business Overview
11.8.3 Talend Cloud-based Big Data Introduction
11.8.4 Talend Revenue in Cloud-based Big Data Business (2019-2024)
11.8.5 Talend Recent Development
11.9 TIBCO Software
11.9.1 TIBCO Software Company Detail
11.9.2 TIBCO Software Business Overview
11.9.3 TIBCO Software Cloud-based Big Data Introduction
11.9.4 TIBCO Software Revenue in Cloud-based Big Data Business (2019-2024)
11.9.5 TIBCO Software Recent Development
11.10 Amazon Web Services (AWS)
11.10.1 Amazon Web Services (AWS) Company Detail
11.10.2 Amazon Web Services (AWS) Business Overview
11.10.3 Amazon Web Services (AWS) Cloud-based Big Data Introduction
11.10.4 Amazon Web Services (AWS) Revenue in Cloud-based Big Data Business (2019-2024)
11.10.5 Amazon Web Services (AWS) Recent Development
11.11 Cloudera
11.11.1 Cloudera Company Detail
11.11.2 Cloudera Business Overview
11.11.3 Cloudera Cloud-based Big Data Introduction
11.11.4 Cloudera Revenue in Cloud-based Big Data Business (2019-2024)
11.11.5 Cloudera Recent Development
11.12 Databricks
11.12.1 Databricks Company Detail
11.12.2 Databricks Business Overview
11.12.3 Databricks Cloud-based Big Data Introduction
11.12.4 Databricks Revenue in Cloud-based Big Data Business (2019-2024)
11.12.5 Databricks Recent Development
11.13 Snowflake
11.13.1 Snowflake Company Detail
11.13.2 Snowflake Business Overview
11.13.3 Snowflake Cloud-based Big Data Introduction
11.13.4 Snowflake Revenue in Cloud-based Big Data Business (2019-2024)
11.13.5 Snowflake Recent Development
11.14 Informatica
11.14.1 Informatica Company Detail
11.14.2 Informatica Business Overview
11.14.3 Informatica Cloud-based Big Data Introduction
11.14.4 Informatica Revenue in Cloud-based Big Data Business (2019-2024)
11.14.5 Informatica Recent Development
11.15 Salesforce
11.15.1 Salesforce Company Detail
11.15.2 Salesforce Business Overview
11.15.3 Salesforce Cloud-based Big Data Introduction
11.15.4 Salesforce Revenue in Cloud-based Big Data Business (2019-2024)
11.15.5 Salesforce Recent Development
11.16 Hortonworks
11.16.1 Hortonworks Company Detail
11.16.2 Hortonworks Business Overview
11.16.3 Hortonworks Cloud-based Big Data Introduction
11.16.4 Hortonworks Revenue in Cloud-based Big Data Business (2019-2024)
11.16.5 Hortonworks Recent Development
11.17 Qlik
11.17.1 Qlik Company Detail
11.17.2 Qlik Business Overview
11.17.3 Qlik Cloud-based Big Data Introduction
11.17.4 Qlik Revenue in Cloud-based Big Data Business (2019-2024)
11.17.5 Qlik Recent Development
11.18 Alteryx
11.18.1 Alteryx Company Detail
11.18.2 Alteryx Business Overview
11.18.3 Alteryx Cloud-based Big Data Introduction
11.18.4 Alteryx Revenue in Cloud-based Big Data Business (2019-2024)
11.18.5 Alteryx Recent Development
11.19 Splunk
11.19.1 Splunk Company Detail
11.19.2 Splunk Business Overview
11.19.3 Splunk Cloud-based Big Data Introduction
11.19.4 Splunk Revenue in Cloud-based Big Data Business (2019-2024)
11.19.5 Splunk 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
Teradata
Microsoft
IBM
Oracle
SAS Institute
Google
Adobe
Talend
TIBCO Software
Amazon Web Services (AWS)
Cloudera
Databricks
Snowflake
Informatica
Salesforce
Hortonworks
Qlik
Alteryx
Splunk
听
听
*If Applicable.