
The global market for Big Data-As-A-Service was estimated to be worth US$ 56270 million in 2023 and is forecast to a readjusted size of US$ 68080 million by 2030 with a CAGR of 2.8% during the forecast period 2024-2030
With the advancement of digitalization and informatization, enterprises have an increasing demand for data. Big data technology can help companies mine valuable information from massive amounts of data to support decision-making. As a result, enterprise demand for Big Data as a Service continues to increase.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Big Data-As-A-Service, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Big Data-As-A-Service by region & country, by Type, and by Application.
The Big Data-As-A-Service market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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-As-A-Service.
Market Segmentation
By Company
IBM
Oracle
Microsoft
Google
AWS
SAP
Teradata
SAS
Dell Technologies
HPE
CenturyLink
Splunk
Cloudera
Salesforce
Qubole
GoodData
Hitachi Vantara
IRI
Segment by Type:
On-Premises
Cloud
Segment by Application
BFSI
Healthcare
Retail Industry
Manufacturing
Others
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, 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 2: Detailed analysis of Big Data-As-A-Service manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Big Data-As-A-Service in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Big Data-As-A-Service in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Big Data-As-A-Service Product Introduction
1.2 Global Big Data-As-A-Service Market Size Forecast
1.3 Big Data-As-A-Service Market Trends & Drivers
1.3.1 Big Data-As-A-Service Industry Trends
1.3.2 Big Data-As-A-Service Market Drivers & Opportunity
1.3.3 Big Data-As-A-Service Market Challenges
1.3.4 Big Data-As-A-Service Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Big Data-As-A-Service Players Revenue Ranking (2023)
2.2 Global Big Data-As-A-Service Revenue by Company (2019-2024)
2.3 Key Companies Big Data-As-A-Service Manufacturing Base Distribution and Headquarters
2.4 Key Companies Big Data-As-A-Service Product Offered
2.5 Key Companies Time to Begin Mass Production of Big Data-As-A-Service
2.6 Big Data-As-A-Service Market Competitive Analysis
2.6.1 Big Data-As-A-Service Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Big Data-As-A-Service Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Big Data-As-A-Service as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 On-Premises
3.1.2 Cloud
3.2 Global Big Data-As-A-Service Sales Value by Type
3.2.1 Global Big Data-As-A-Service Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Big Data-As-A-Service Sales Value, by Type (2019-2030)
3.2.3 Global Big Data-As-A-Service Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 BFSI
4.1.2 Healthcare
4.1.3 Retail Industry
4.1.4 Manufacturing
4.1.5 Others
4.2 Global Big Data-As-A-Service Sales Value by Application
4.2.1 Global Big Data-As-A-Service Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Big Data-As-A-Service Sales Value, by Application (2019-2030)
4.2.3 Global Big Data-As-A-Service Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Big Data-As-A-Service Sales Value by Region
5.1.1 Global Big Data-As-A-Service Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Big Data-As-A-Service Sales Value by Region (2019-2024)
5.1.3 Global Big Data-As-A-Service Sales Value by Region (2025-2030)
5.1.4 Global Big Data-As-A-Service Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Big Data-As-A-Service Sales Value, 2019-2030
5.2.2 North America Big Data-As-A-Service Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Big Data-As-A-Service Sales Value, 2019-2030
5.3.2 Europe Big Data-As-A-Service Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Big Data-As-A-Service Sales Value, 2019-2030
5.4.2 Asia Pacific Big Data-As-A-Service Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Big Data-As-A-Service Sales Value, 2019-2030
5.5.2 South America Big Data-As-A-Service Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Big Data-As-A-Service Sales Value, 2019-2030
5.6.2 Middle East & Africa Big Data-As-A-Service Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Big Data-As-A-Service Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Big Data-As-A-Service Sales Value
6.3 United States
6.3.1 United States Big Data-As-A-Service Sales Value, 2019-2030
6.3.2 United States Big Data-As-A-Service Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Big Data-As-A-Service Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Big Data-As-A-Service Sales Value, 2019-2030
6.4.2 Europe Big Data-As-A-Service Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Big Data-As-A-Service Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Big Data-As-A-Service Sales Value, 2019-2030
6.5.2 China Big Data-As-A-Service Sales Value by Type (%), 2023 VS 2030
6.5.3 China Big Data-As-A-Service Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Big Data-As-A-Service Sales Value, 2019-2030
6.6.2 Japan Big Data-As-A-Service Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Big Data-As-A-Service Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Big Data-As-A-Service Sales Value, 2019-2030
6.7.2 South Korea Big Data-As-A-Service Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Big Data-As-A-Service Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Big Data-As-A-Service Sales Value, 2019-2030
6.8.2 Southeast Asia Big Data-As-A-Service Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Big Data-As-A-Service Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Big Data-As-A-Service Sales Value, 2019-2030
6.9.2 India Big Data-As-A-Service Sales Value by Type (%), 2023 VS 2030
6.9.3 India Big Data-As-A-Service Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 IBM
7.1.1 IBM Profile
7.1.2 IBM Main Business
7.1.3 IBM Big Data-As-A-Service Products, Services and Solutions
7.1.4 IBM Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.1.5 IBM Recent Developments
7.2 Oracle
7.2.1 Oracle Profile
7.2.2 Oracle Main Business
7.2.3 Oracle Big Data-As-A-Service Products, Services and Solutions
7.2.4 Oracle Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.2.5 Oracle Recent Developments
7.3 Microsoft
7.3.1 Microsoft Profile
7.3.2 Microsoft Main Business
7.3.3 Microsoft Big Data-As-A-Service Products, Services and Solutions
7.3.4 Microsoft Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.3.5 Google Recent Developments
7.4 Google
7.4.1 Google Profile
7.4.2 Google Main Business
7.4.3 Google Big Data-As-A-Service Products, Services and Solutions
7.4.4 Google Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.4.5 Google Recent Developments
7.5 AWS
7.5.1 AWS Profile
7.5.2 AWS Main Business
7.5.3 AWS Big Data-As-A-Service Products, Services and Solutions
7.5.4 AWS Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.5.5 AWS Recent Developments
7.6 SAP
7.6.1 SAP Profile
7.6.2 SAP Main Business
7.6.3 SAP Big Data-As-A-Service Products, Services and Solutions
7.6.4 SAP Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.6.5 SAP Recent Developments
7.7 Teradata
7.7.1 Teradata Profile
7.7.2 Teradata Main Business
7.7.3 Teradata Big Data-As-A-Service Products, Services and Solutions
7.7.4 Teradata Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.7.5 Teradata Recent Developments
7.8 SAS
7.8.1 SAS Profile
7.8.2 SAS Main Business
7.8.3 SAS Big Data-As-A-Service Products, Services and Solutions
7.8.4 SAS Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.8.5 SAS Recent Developments
7.9 Dell Technologies
7.9.1 Dell Technologies Profile
7.9.2 Dell Technologies Main Business
7.9.3 Dell Technologies Big Data-As-A-Service Products, Services and Solutions
7.9.4 Dell Technologies Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.9.5 Dell Technologies Recent Developments
7.10 HPE
7.10.1 HPE Profile
7.10.2 HPE Main Business
7.10.3 HPE Big Data-As-A-Service Products, Services and Solutions
7.10.4 HPE Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.10.5 HPE Recent Developments
7.11 CenturyLink
7.11.1 CenturyLink Profile
7.11.2 CenturyLink Main Business
7.11.3 CenturyLink Big Data-As-A-Service Products, Services and Solutions
7.11.4 CenturyLink Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.11.5 CenturyLink Recent Developments
7.12 Splunk
7.12.1 Splunk Profile
7.12.2 Splunk Main Business
7.12.3 Splunk Big Data-As-A-Service Products, Services and Solutions
7.12.4 Splunk Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.12.5 Splunk Recent Developments
7.13 Cloudera
7.13.1 Cloudera Profile
7.13.2 Cloudera Main Business
7.13.3 Cloudera Big Data-As-A-Service Products, Services and Solutions
7.13.4 Cloudera Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.13.5 Cloudera Recent Developments
7.14 Salesforce
7.14.1 Salesforce Profile
7.14.2 Salesforce Main Business
7.14.3 Salesforce Big Data-As-A-Service Products, Services and Solutions
7.14.4 Salesforce Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.14.5 Salesforce Recent Developments
7.15 Qubole
7.15.1 Qubole Profile
7.15.2 Qubole Main Business
7.15.3 Qubole Big Data-As-A-Service Products, Services and Solutions
7.15.4 Qubole Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.15.5 Qubole Recent Developments
7.16 GoodData
7.16.1 GoodData Profile
7.16.2 GoodData Main Business
7.16.3 GoodData Big Data-As-A-Service Products, Services and Solutions
7.16.4 GoodData Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.16.5 GoodData Recent Developments
7.17 Hitachi Vantara
7.17.1 Hitachi Vantara Profile
7.17.2 Hitachi Vantara Main Business
7.17.3 Hitachi Vantara Big Data-As-A-Service Products, Services and Solutions
7.17.4 Hitachi Vantara Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.17.5 Hitachi Vantara Recent Developments
7.18 IRI
7.18.1 IRI Profile
7.18.2 IRI Main Business
7.18.3 IRI Big Data-As-A-Service Products, Services and Solutions
7.18.4 IRI Big Data-As-A-Service Revenue (US$ Million) & (2019-2024)
7.18.5 IRI Recent Developments
8 Industry Chain Analysis
8.1 Big Data-As-A-Service Industrial Chain
8.2 Big Data-As-A-Service Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Big Data-As-A-Service Sales Model
8.5.2 Sales Channel
8.5.3 Big Data-As-A-Service Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
IBM
Oracle
Microsoft
Google
AWS
SAP
Teradata
SAS
Dell Technologies
HPE
CenturyLink
Splunk
Cloudera
Salesforce
Qubole
GoodData
Hitachi Vantara
IRI
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*If Applicable.
