Big Data as a Service (BDaaS) Market Size, Share & Industry Analysis
| 出版社 | Fortune Business Insights |
| 出版年月 | 2024年9月 |
| ページ数 | 160 |
| 価格タイプ | シングルユーザライセンス |
| 価格 | USD 4,850 |
| 種別 | 英文調査報告書 |
Growth Factors of Big Data As A Service Market
The big data as a service market size was valued at USD 26.16 billion in 2023, and the market is now projected to grow from USD 33.58 billion in 2024 to USD 178.84 billion by 2032, exhibiting a CAGR of 23.3% during the forecast period of 2023-2030.
Big Data as a Service (BDaaS: サービスとしてのビッグデータ)の市場規模は、2023 年に 261 億 6,000 万米ドルと評価されており、市場は 2024 年の 335 億 8,000 万米ドルから 2032 年までに 1,788 億 4,000 万米ドルに成長すると予測されており、2023-2030年の予測期間中に 23.3% の CAGR を示します。
There was a slight decline in the demand for BDaaS among small and medium-sized enterprises. Numerous industries were not working, and therefore, many marketing strategies, estimated investment conditions, and events were on halt. Conversely, the pandemic has encouraged the businesses to adopt the services; hence it has been constructive after the second phase. The system witnessed a diverse demand across all regions in the pandemic. Overall, the COVID-19 pandemic has a positive impact on big data as a service market growth.
E-shopping signifies a huge amount of the digital world, collecting various kinds of data. The big data as a service market share globally has been contributed due to the increasing number of e-commerce platforms to encourage growth. The accumulation of numerous data can be social media movement, web browser histories, geolocation services, and hysterical online shopping carts. Since online shopping allows customers to elevate experience, secured online purchases, optimized pricing and discounts, and consequently online purchasing are predominately preferred by customers. Hence, e-commerce businesses are emergent with greater statistics, motivating their overall business. .
The trend of increasing adoption of cloud-based advanced analytics by large enterprises supporting market growth. Cloud-based advanced analytics engage various applications. It can be machine learning, visualization, data/text mining, and prediction. The sentiment and semantic analysis, multivariate statistics, network and cluster analysis, graph analysis, and complex event processing are also employing BDaas. The advanced analytics software assists to protect the organization’s websites and related data libraries from anxious scripts and undesirable cyber-attacks.
Comprehensive Analysis of Big Data As A Service Market
The big data as a service market and information & communication technology industry is rising at an exponential rate due to its market segmentation. This market development effectively provides a detailed regional assessment considering the dominant supply and demand forces that impact the technology & media industry. These segmentations are methodically segregated by solution, deployment model, and industry. The by solution includes hadoop-as-a-service, data-as-a-service, and data analytics-as-a-service. Similarly, the deployment model is public cloud, private cloud, and hybrid cloud. The industry segment includes BFSI, retail and e-commerce, IT & telecom, healthcare, government, manufacturing, and others.
The North American region is conducive to the global big data as a service market, leading to a recall of USD 12.55 billion due to the increasing investment by major players to acquire BDasS in their business and manufacturing units is propelling the regional market.
The top players in the market play a vital role in the technology & media industry assuring industrial prospectus growth and setting market standards. These players include Amazon Web Services, Inc. (U.S.), Hewlett Packard Enterprise(U.S.), IBM Corporation (U.S.), Microsoft Corporation U.S.), Oracle Corporation (U.S.), SAP SE (Germany), Wipro Limited (India), Snowflake Inc. (Australia), SAS Institute Inc. (U.S.), Alteryx Ltd. (U.S.); these market players provide a fair and tough competitive landscape.
In March 2024, Snowflake announced an alliance with Mistral AI to offer powerful language models of Mistral AI to Snowflake clients in the Data Cloud. Mistral AI’s newest and powerful model, Mistral Large, is accessible to customers in the Snowflake Data Cloud, which enables them to utilize generative AI with their business data with safety.
Segmentation Table
Global Big Data As A Service Market Scope
ATTRIBUTE DETAILS
Study Period 2019-2032
Base Year 2023
Estimated Year 2024
Forecast Period 2024-2032
Historical Period 2019-2022
Growth Rate CAGR of 23.3% from 2024 to 2032
Unit Value (USD billion)
Segmentation By Solution
- Hadoop-as-a-Service
- Data-as-a-Service
- Data Analytics-as-a-Service
By Deployment Model
- Public Cloud
- Private Cloud
- Hybrid Cloud
By Industry
- BFSI
- Retail and E-Commerce
- IT & Telecom
- Healthcare
- Government
- Manufacturing
- Others (Media & Entertainment, Education, and others.)
By Region
- North America (By Solution; Deployment Model; Industry and Country)
o United States
o Canada
- Latin America (By Solution; Deployment Model; Industry and Country)
o Brazil
o Mexico
o Rest of South America
- Europe (By Solution; Deployment Model; Industry and Country)
o United Kingdom
o Germany
o France
o Spain
o Rest of Europe
- The Middle East & Africa (By Solution; Deployment Model; Industry and Country)
o GCC
o South Africa
o Rest of the Middle East & Africa
- Asia Pacific (By Solution; Deployment Model; Industry and Country)
o China
o Japan
o India
o South East Asia
o Rest of Asia Pacific
Table of Contents
1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Big Data as a Service Key Players Market Share/Ranking, 2023
5. Global Big Data as a Service Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Solution (USD)
5.2.1. Hadoop-as-a-Service
5.2.2. Data-as-a-Service
5.2.3. Data Analytics-as-a-Service
5.3. By Deployment Model (USD)
5.3.1. Public Cloud
5.3.2. Private Cloud
5.3.3. Hybrid Cloud
5.4. By Industry (USD)
5.4.1. BFSI
5.4.2. Retail and E-Commerce
5.4.3. IT & Telecom
5.4.4. Healthcare
5.4.5. Government
5.4.6. Manufacturing
5.4.7. Others (Media & Entertainment, Education, etc.,)
5.5. By Region (USD)
5.5.1. North America
5.5.2. Latin America
5.5.3. Europe
5.5.4. Middle East & Africa
5.5.5. Asia Pacific
6. North America Big Data as a Service Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Solution (USD)
6.2.1. Hadoop-as-a-Service
6.2.2. Data-as-a-Service
6.2.3. Data Analytics-as-a-Service
6.3. By Deployment Model (USD)
6.3.1. Public Cloud
6.3.2. Private Cloud
6.3.3. Hybrid Cloud
6.4. By Industry (USD)
6.4.1. BFSI
6.4.2. Retail and E-Commerce
6.4.3. IT & Telecom
6.4.4. Healthcare
6.4.5. Government
6.4.6. Manufacturing
6.4.7. Others
6.5. By Country (USD)
6.5.1. United States
6.5.2. Canada
7. Latin America Big Data as a Service Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Solution (USD)
7.2.1. Hadoop-as-a-Service
7.2.2. Data-as-a-Service
7.2.3. Data Analytics-as-a-Service
7.3. By Deployment Model (USD)
7.3.1. Public Cloud
7.3.2. Private Cloud
7.3.3. Hybrid Cloud
7.4. By Industry (USD)
7.4.1. BFSI
7.4.2. Retail and E-Commerce
7.4.3. IT & Telecom
7.4.4. Healthcare
7.4.5. Government
7.4.6. Manufacturing
7.4.7. Others
7.5. By Country (USD)
7.5.1. Brazil
7.5.2. Mexico
7.5.3. Rest of Latin America
8. Europe Big Data as a Service Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Solution (USD)
8.2.1. Hadoop-as-a-Service
8.2.2. Data-as-a-Service
8.2.3. Data Analytics-as-a-Service
8.3. By Deployment Model (USD)
8.3.1. Public Cloud
8.3.2. Private Cloud
8.3.3. Hybrid Cloud
8.4. By Industry (USD)
8.4.1. BFSI
8.4.2. Retail and E-Commerce
8.4.3. IT & Telecom
8.4.4. Healthcare
8.4.5. Government
8.4.6. Manufacturing
8.4.7. Others
8.5. By Country (USD)
8.5.1. UK
8.5.2. Germany
8.5.3. France
8.5.4. Spain
8.5.5. Rest of Europe
9. Middle East & Africa Big Data as a Service Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Solution (USD)
9.2.1. Hadoop-as-a-Service
9.2.2. Data-as-a-Service
9.2.3. Data Analytics-as-a-Service
9.3. By Deployment Model (USD)
9.3.1. Public Cloud
9.3.2. Private Cloud
9.3.3. Hybrid Cloud
9.4. By Industry (USD)
9.4.1. BFSI
9.4.2. Retail and E-Commerce
9.4.3. IT & Telecom
9.4.4. Healthcare
9.4.5. Government
9.4.6. Manufacturing
9.4.7. Others
9.5. By Country (USD)
9.5.1. GCC
9.5.2. South Africa
9.5.3. Rest of MEA
10. Asia Pacific Big Data as a Service Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Solution (USD)
10.2.1. Hadoop-as-a-Service
10.2.2. Data-as-a-Service
10.2.3. Data Analytics-as-a-Service
10.3. By Deployment Model (USD)
10.3.1. Public Cloud
10.3.2. Private Cloud
10.3.3. Hybrid Cloud
10.4. By Industry (USD)
10.4.1. BFSI
10.4.2. Retail and E-Commerce
10.4.3. IT & Telecom
10.4.4. Healthcare
10.4.5. Government
10.4.6. Manufacturing
10.4.7. Others
10.5. By Country (USD)
10.5.1. China
10.5.2. Japan
10.5.3. India
10.5.4. Southeast Asia
10.5.5. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Amazon Web Services, Inc.
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. Hewlett Packard Enterprise
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. IBM Corporation
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Microsoft Corporation
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. Oracle Corporation
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. SAP SE
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Wipro Limited
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Snowflake Inc.
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. SAS Institute Inc.
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Alteryx Ltd.
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments
12. Key Takeaways
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