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巨量资料云端服务

市场调查报告书

商品编码

1450949

按解决方案（Hadoop 即服务、资料即服务、资料分析即服务）、部署模型、平台类型、组织规模、垂直产业和区域分類的大数据即服务市场报告 2024 -2032

Big Data as a Service Market Report by Solution (Hadoop-as-a-Service, Data-as-a-Service, Data Analytics-as-a-Service ), Deployment Model, Platform Type, Organization Size, Verticals, and Region 2024-2032

出版日期: 2024年03月02日 | 出版商:

IMARC | 英文 140 Pages | 商品交期: 2-3个工作天内

价格

简介目录图表

2023 年，全球巨量资料即服务 (BDaaS) 市场规模达到 466 亿美元。展望未来， IMARC Group预计到 2032 年，市场规模将达到 2,179 亿美元，2024 年复合年增长率 (CAGR) 为 18.1%。2032 .企业迫切需要管理每天产生的大量资料，越来越多地采用数据驱动的决策，以及业务运营中可扩展性和灵活性的重要性日益增加，这些都是推动市场发展的一些因素。

大数据即服务 (BDaaS) 是一种全面的解决方案，为希望利用巨量资料分析的企业提供平台和分析功能。 BDaaS 解决方案配备了强大的硬体和专用软体，简化了资料收集、储存、处理和分析的流程。这些平台提供不同程度的客製化，使公司能够筛选大量资料以提取有价值的见解，从而帮助做出数据驱动的决策。 BDaaS 平台基于从机器学习到自然语言处理的多种演算法运行，提供从预测分析到客户行为映射等多方面的功能。

全球市场的主要驱动力是企业迫切需要管理每天产生的大量资料。与此一致的是，业务流程日益复杂，为市场提供了动力。此外，对以客户为中心的方法的日益关注正在成为一个重要的成长诱导因素。除此之外，云端运算采用的兴起需要高效率的资料分析服务。此外，对即时资料分析日益增长的需求正在对市场产生积极影响。物联网设备的激增进一步推动了市场的发展。除此之外，人工智慧和机器学习技术的采用正在推动市场向前发展。促进市场发展的其他一些因素包括对具有成本效益的资料解决方案的需求、对业务流程自动化的需求、对竞争情报的关注以及广泛的研发活动。

大数据即服务市场趋势/驱动因素：

越来越多采用数据驱动的决策

对数据驱动决策日益增长的需求是大数据即服务 (BDaaS) 市场强劲成长的关键驱动力。现代企业需要的不仅是资料收集和储存；还需要资料收集和储存。他们需要深入的分析，将原始资料转化为可行的见解。这些见解对于制定策略、简化营运、提高客户参与度，甚至影响产品开发都具有无价的价值。例如，零售企业可以使用资料分析来即时优化库存水平，从而降低管理成本。同样，医疗保健提供者可以利用分析来识别可能导致更有效的患者治疗结果的模式。这里的要点是，由 BDaaS 提供支援的数据驱动决策为企业提供了在营运的各个方面做出明智的策略选择的方法。分析的重要性已从奢侈品或「附加品」转变为现代商业策略的必需品。 BDaaS 的综合服务模型涵盖资料收集、储存和进阶分析，使组织更容易采用资料驱动的方法，从而推动 BDaaS 解决方案市场的发展。

可扩展性和灵活性在业务运营中的重要性日益增加

促使 BDaaS 日益普及的另一个因素是其可扩展性和灵活性。对于企业来说，资料运营的初始投资可能是巨大的。 BDaaS 解决方案提供了根据业务的特定需求扩展这些营运的机会。例如，最初需要有限资料分析能力的小型企业可以随着发展而扩大其使用范围，而不会成比例增加成本。这种灵活性对于预算有限但资料分析需求不断变化的中小型企业 (SME) 尤其有利。此外，根据特定行业需求（无论是医疗保健、金融还是零售）客製化解决方案的能力为 BDaaS 产品增添了另一层吸引力。因此，BDaaS 解决方案的灵活性和可扩展性不仅仅是功能，而是与动态业务需求一致的基本属性，使其成为寻求投资资料分析的公司的首选。

更加关注监管合规性和资料隐私

由于全球多个国家的严格法律（例如欧洲的 GDPR 和美国的 CCPA），资料隐私和合规性变得前所未有的重要。这些法规不仅管理资料的收集方式，也管理资料的储存、分析和使用方式。在这个复杂的监管环境中，不合规的成本可能很高，导致经济处罚和声誉受损。认识到这项挑战，BDaaS 供应商越来越多地整合功能来帮助组织应对这些监管迷宫。其中包括用于资料安全的强大加密方法、用于受控存取的多因素身份验证以及用于可追溯性和问责制的详细审核功能。这些内建的合规性功能使公司能够专注于利用资料实现业务成长，而不必担心迫在眉睫的法律后果。

The global big data as a service (BDaaS) market size reached US$ 46.6 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 217.9 Billion by 2032, exhibiting a growth rate (CAGR) of 18.1% during 2024-2032. The urgent need for enterprises to manage vast amounts of data generated daily, rising adoption of data-driven decision making, and the growing importance of scalability and flexibility in business operations represent some of the factors that are propelling the market.

Big Data as a Service (BDaaS) is a comprehensive solution that provides both the platform and analytical capabilities to businesses looking to leverage big data analytics. Equipped with robust hardware and specialized software, BDaaS solutions streamline the process of data collection, storage, processing, and analysis. Offering varying levels of customization, these platforms enable companies to sift through massive sets of data to extract valuable insights, thus helping make data-driven decisions. BDaaS platforms operate on diverse algorithms, from machine learning to natural language processing, offering multi-faceted functionalities ranging from predictive analytics to customer behavior mapping.

The global market is primarily driven by the urgent need for enterprises to manage vast amounts of data generated daily. In line with this, growing complexities in business processes are providing an impetus to the market. Moreover, the increasing focus on customer-centric approaches is acting as a significant growth-inducing factor. In addition to this, the rise in cloud computing adoption necessitates efficient data analytics services. Also, the growing need for real-time data analysis is impacting the market positively. The market is further driven by the proliferation of IoT devices. Apart from this, the adoption of artificial intelligence and machine learning technologies is propelling the market forward. Some of the other factors contributing to the market include the demand for cost-effective data solutions, the need for business process automation, focus on competitive intelligence, and extensive research and development activities.

Big Data as a Service Market Trends/Drivers:

Rising adoption of data-driven decision making

The increasing need for data-driven decision-making is a critical driver behind the robust growth of the Big Data as a Service (BDaaS) market. Modern businesses require more than just data collection and storage; they require in-depth analytics that can convert raw data into actionable insights. These insights are invaluable in shaping strategy, streamlining operations, enhancing customer engagement, and even influencing product development. For example, retail businesses can use data analytics to optimize stock levels in real-time, reducing overhead costs. Similarly, healthcare providers can utilize analytics to identify patterns that may lead to more effective patient outcomes. The point here is that data-driven decision-making powered by BDaaS provides businesses with the means to make well-informed, strategic choices across various facets of operations. The significance of analytics has transitioned from being a luxury or an 'add-on' to a necessity in modern business strategy. The comprehensive service model of BDaaS, which encompasses data collection, storage, and advanced analytics, is making it easier for organizations to adopt a data-driven approach, thereby driving the market for BDaaS solutions.

Growing importance of scalability and flexibility in business operations

Another factor contributing to the growing adoption of BDaaS is its scalability and flexibility. For businesses, the initial investment in data operations can be substantial. BDaaS solutions offer an opportunity to scale these operations according to the specific needs of the business. For example, a small enterprise that initially requires limited data analytics capabilities can expand its usage as it grows, without a proportional increase in cost. This flexibility is especially advantageous for small and medium-sized enterprises (SMEs) with constrained budgets but evolving data analytics needs. Moreover, the ability to customize solutions according to specific industry requirements-be it healthcare, finance, or retail-adds another layer of appeal to BDaaS offerings. Thus, the flexibility and scalability of BDaaS solutions are not merely features but essential attributes that align with dynamic business needs, making them a preferred choice for companies looking to invest in data analytics.

An enhanced focus on regulatory compliance and data privacy

Data privacy and compliance have never been more critical due to stringent laws in several countries across the globe, such as GDPR in Europe and CCPA in the United States. These regulations not only govern how data is collected but also how it is stored, analyzed, and used. In this complex regulatory environment, the cost of non-compliance can be high, leading to financial penalties and reputational damage. Recognizing this challenge, BDaaS providers are increasingly incorporating features that help organizations navigate these regulatory mazes. These can include robust encryption methods for data security, multi-factor authentication for controlled access, and detailed auditing capabilities for traceability and accountability. These built-in compliance features enable companies to focus on leveraging data for business growth, without the looming fear of legal repercussions.

Big Data as a Service Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global big data as a service market report, along with forecasts at the global and regional levels for 2024-2032. Our report has categorized the market based on solution, deployment model, platform type, organization size and verticals.

Breakup by Solution:

Hadoop-as-a-Service (HDaaS)

Data-as-a-Service (DaaS)

Data Analytics-as-a-Service (DAaaS)

Data Analytics-as-a-Service (DAaaS) represents the largest market segment

The report has provided a detailed breakup and analysis of the market based on the solution. This includes hadoop-as-a-service (HDaaS), data-as-a-service (DaaS), and data analytics-as-a-service (DAaaS). According to the report, data analytics-as-a-service (DAaaS) represented the largest segment.

The increasing need for data-driven insights to support business decision-making is a primary factor driving the DAaaS segment. Rising complexity and volume of data are prompting organizations to rely on specialized services for analytics. Additionally, the scalability and cost-effectiveness provided by DAaaS solutions are appealing to firms looking to optimize resource allocation. Regulatory compliance is also pushing businesses to adopt secure and reliable data analytics platforms. Lastly, the emergence of machine learning and AI technologies has further fortified the necessity and adoption of DAaaS in various sectors.

On the other hand, the growing importance of real-time data analytics is a key driver for the HDaaS and DaaS segments. These services provide flexibility in data storage and processing, which is crucial for companies looking to optimize costs. Regulatory compliance needs also fuel the adoption of these services. Moreover, their capability to handle unstructured data is a significant draw for many enterprises.

Breakup by Deployment Model:

Public Cloud

Private Cloud

Hybrid Cloud

Public cloud accounts for the majority of the market share

The report has provided a detailed breakup and analysis of the market based on the deployment model. This includes public cloud, private cloud, and hybrid cloud. According to the report, public cloud represented the largest segment.

The public cloud segment in the BDaaS market is growing due to its ease of access, scalability, and affordability for both small and large enterprises. This is further accelerated by the global shift towards digital transformation and the increasing need for remote work capabilities. Public cloud services offer a vast array of tools for data analytics, storage, and management, which aids in operational efficiency. With advances in security protocols, the public cloud is also increasingly seen as a secure option for data storage and analytics. Lastly, the growing ecosystem of public cloud providers allows for specialized services catering to diverse industry needs.

On the other hand, the demand for enhanced security and control over data is the major driver for the adoption of Private and Hybrid Clouds in the BDaaS market. These solutions offer better customization to meet specific business requirements. The rise in cyber threats and data breaches is another factor steering organizations towards these options. Regulatory compliance can be more straightforwardly managed in a private or hybrid cloud environment.

Breakup by Platform Type:

JAVA

Microsoft

Oracle

SAP

Others

JAVA represents the largest market segment

The report has provided a detailed breakup and analysis of the market based on the platform type. This includes JAVA, Microsoft, Oracle, SAP, and others. According to the report, JAVA represented the largest segment.

JAVA remains a major segment in the BDaaS market largely due to its platform independence, which allows for easier data portability across different systems. Its rich ecosystem of libraries and frameworks makes it highly extensible and adaptable for big data applications. Additionally, the extensive community support and established reputation of JAVA make it a safe and reliable choice for enterprise-level data solutions. The need for real-time data processing is also driving the use of JAVA in big data applications, given its ability to handle large data sets efficiently.

On the other hand, the reputation and extensive product portfolio of companies such as Microsoft, Oracle, and SAP make them noteworthy players in the BDaaS market. These organizations offer a comprehensive suite of solutions that can be integrated with various data analytics tools. Advanced security features and global reach are added advantages. Their continued investment in R&D ensures that they remain competitive.

Breakup by Organization Size:

Small and Medium-Sized Enterprises

Large Enterprises

Large enterprises accounts for the majority of the market share

The report has provided a detailed breakup and analysis of the market based on the organization size. This includes small and medium-sized enterprises and large enterprises. According to the report, large enterprises represented the largest segment.

The expanding data generation within large enterprises is a significant factor contributing to their reliance on BDaaS. Complex business operations require sophisticated data analytics solutions that BDaaS can provide. Regulatory mandates on data governance and compliance also necessitate the need for enterprise-grade solutions that are robust and secure. The ability to integrate BDaaS with existing IT infrastructure is another motivating factor for large enterprises. Moreover, the need for actionable insights for strategic decision-making further underlines the significance of BDaaS in this segment.

On the other hand, the growing awareness of the importance of data analytics is resulting in the adoption of BDaaS among SMEs. Cost-efficiency and the ability to scale are compelling factors for these organizations. The increasing availability of tailor-made solutions for SMEs is also a motivating factor. Regulatory compliance requirements are simpler to meet with BDaaS solutions designed for this segment.

Breakup by Verticals:

BFSI

Healthcare

Retail

IT and Telecommunication

Manufacturing

Media and Entertainment

Others

BFSI represents the largest market segment

The report has provided a detailed breakup and analysis of the market based on the verticals. This includes BFSI, healthcare, retail, IT and telecommunication, manufacturing, media and entertainment, and others. According to the report, BFSI represented the largest segment.

The BFSI sector is a major segment in the global Big Data as a Service (BDaaS) market. The primary factors fueling growth in this sector include stringent regulatory compliance requirements, the increasing volume of structured and unstructured financial data, and the pressing need for real-time analytics for risk management. Additionally, the rise of FinTech companies has intensified the demand for scalable and cost-effective big data solutions. The focus on customer experience optimization through data analytics also plays a crucial role. In sum, the complexity and sensitivity of financial transactions in the BFSI sector necessitate robust big data analytics solutions, thereby impelling the BDaaS market.

On the other hand, the healthcare, retail, IT and telecommunication, manufacturing, media, and entertainment segments are primarily propelled by the growing need for data-driven decision-making and the rise of Industry 4.0 in manufacturing. In healthcare, data analytics is crucial for diagnosis and treatment optimization, while in retail, it helps in customer behavior analysis and inventory management.

Breakup by Region:

North America

Europe

Asia Pacific

Middle East and Africa

Latin America

North America exhibits a clear dominance, accounting for the largest big data as a service market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America; Europe; Asia Pacific; the Middle East and Africa and Latin America. According to the report, North America accounted for the largest market share.

North America remains a significant region in the global BDaaS market, driven by factors such as technological innovation, a high rate of digital transformation, and the presence of major market players in the region. A robust investment climate and favorable government policies also contribute to its leading position.

The demand for BDaaS in various industries, including healthcare, finance, and retail, is exceptionally high in North America, and this diversification further propels the market. Moreover, stringent regulatory guidelines around data protection and governance make the adoption of sophisticated BDaaS solutions a necessity.

This region also benefits from a skilled workforce, cutting-edge infrastructure, and an ecosystem that fosters partnerships between BDaaS providers and enterprises. It is important to note that the competition in this region is intense, and this pushes companies to innovate continuously, leading to the rapid evolution of services offered. Furthermore, the high level of awareness and education around the benefits of data analytics and cloud computing in North America contribute to the growing adoption of BDaaS solutions.

Competitive Landscape:

Major participants in the global Big Data as a Service (BDaaS) market are actively focusing on developing scalable and secure data solutions. They are consistently involved in enhancing their cloud infrastructures to offer more robust services to their clients. By engaging in collaborations with other tech companies, these market leaders are widening their service offerings. They are also concentrating on vertical-specific solutions to cater to the needs of industries such as healthcare, finance, and retail. These companies are leveraging machine learning and artificial intelligence to provide more insightful analytics. Customer engagement is another area where they are making continuous efforts, often through webinars, workshops, and customer training programs. These key players are also pursuing aggressive pricing strategies and flexible service plans to attract small and medium-sized businesses. Regulatory compliance is another area where they are investing resources to ensure data security and privacy.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Amazon Web Services Inc

Oracle Corporation

Google Inc

Hewlett-Packard

SAP SE

Accenture

IBM

SAS Institute

Dell EMC

Teradata

Alteryx Ltd

Opera Solutions

Wipro

Information Builders

MicroStrategy Inc

Recent Developments:

In August 2023, Amazon Web Services Inc (AWS) introduced Dedicated Local Zones, a fully managed infrastructure placed in a location specified by the customer for enhanced security and compliance with regulatory requirements. These zones offer the same benefits as Local Zones such as scalability and pay-as-you-go pricing, while also providing the ability to facilitate adoption across multiple AWS accounts and reduce operational overhead.

In August 2023, Oracle expanded its partnership with VMware to include Oracle Cloud Infrastructure (OCI) in the VMware Cloud Universal program, offering customers a flexible way to manage their cloud expenses and migrate on-premises workloads. The enhanced collaboration aims to simplify procurement, accelerate cloud adoption, and provide enterprise-level performance and security for businesses with hybrid cloud architecture.

In August 2023, Google Inc. announced the launch of its new Transparency Center, a centralized platform aimed at providing comprehensive information about the company's product policies. The center offers resources on policy development, reporting tools, transparency reports, and Google's guiding principles on privacy and AI.

Key Questions Answered in This Report

1. What was the size of the global Big Data as a Service market in 2023?
2. What is the expected growth rate of the global Big Data as a Service market during 2024-2032?
3. What are the key factors driving the global Big Data as a Service market?
4. What has been the impact of COVID-19 on the global Big Data as a Service market?
5. What is the breakup of the global Big Data as a Service market based on the solution?
6. What is the breakup of the global Big Data as a Service market based on the deployment model?
7. What is the breakup of the global Big Data as a Service market based on the platform type?
8. What is the breakup of the global Big Data as a Service market based on the organization size?
9. What is the breakup of the global Big Data as a Service market based on the verticals?
10. What are the key regions in the global Big Data as a Service market?
11. Who are the key players/companies in the global Big Data as a Service market?

1 Preface

2 Scope and Methodology

2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
- 2.3.1 Primary Sources
- 2.3.2 Secondary Sources
2.4 Market Estimation
- 2.4.1 Bottom-Up Approach
- 2.4.2 Top-Down Approach
2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

4.1 Overview
4.2 Key Industry Trends

5 Global Big Data as a Service Market

5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Breakup by Solution
5.5 Market Breakup by Deployment Model
5.6 Market Breakup by Platform Type
5.7 Market Breakup by Organization Size
5.8 Market Breakup by Verticals
5.9 Market Breakup by Region
5.10 Market Forecast

6 SWOT Analysis

6.1 Overview
6.2 Strengths
6.3 Weaknesses
6.4 Opportunities
6.5 Threats

7 Value Chain Analysis

8 Porter's Five Forces Analysis

8.1 Overview
8.2 Bargaining Power of Buyers
8.3 Bargaining Power of Suppliers
8.4 Degree of Competition
8.5 Threat of New Entrants
8.6 Threat of Substitutes

9 Market Breakup by Solution

9.1 Hadoop-as-a-Service (HDaaS)
- 9.1.1 Market Trends
- 9.1.2 Market Forecast
9.2 Data-as-a-Service (DaaS)
- 9.2.1 Market Trends
- 9.2.2 Market Forecast
9.3 Data Analytics-as-a-Service (DAaaS)
- 9.3.1 Market Trends
- 9.3.2 Market Forecast

10 Market Breakup by Deployment Model

10.1 Public Cloud
- 10.1.1 Market Trends
- 10.1.2 Market Forecast
10.2 Private Cloud
- 10.2.1 Market Trends
- 10.2.2 Market Forecast
10.3 Hybrid Cloud
- 10.3.1 Market Trends
- 10.3.2 Market Forecast

11 Market Breakup by Platform Type

11.1 JAVA
- 11.1.1 Market Trends
- 11.1.2 Market Forecast
11.2 Microsoft
- 11.2.1 Market Trends
- 11.2.2 Market Forecast
11.3 Oracle
- 11.3.1 Market Trends
- 11.3.2 Market Forecast
11.4 SAP
- 11.4.1 Market Trends
- 11.4.2 Market Forecast
11.5 Others
- 11.5.1 Market Trends
- 11.5.2 Market Forecast

12 Market Breakup by Organization Size

12.1 Small and Medium-Sized Enterprises
- 12.1.1 Market Trends
- 12.1.2 Market Forecast
12.2 Large Enterprises
- 12.2.1 Market Trends
- 12.2.2 Market Forecast

13 Market Breakup by Verticals

13.1 BFSI
- 13.1.1 Market Trends
- 13.1.2 Market Forecast
13.2 Healthcare
- 13.2.1 Market Trends
- 13.2.2 Market Forecast
13.3 Retail
- 13.3.1 Market Trends
- 13.3.2 Market Forecast
13.4 IT and Telecommunication
- 13.4.1 Market Trends
- 13.4.2 Market Forecast
13.5 Manufacturing
- 13.5.1 Market Trends
- 13.5.2 Market Forecast
13.6 Media and Entertainment
- 13.6.1 Market Trends
- 13.6.2 Market Forecast
13.7 Others
- 13.7.1 Market Trends
- 13.7.2 Market Forecast

14 Market Breakup by Region

14.1 North America
- 14.1.1 Market Trends
- 14.1.2 Market Forecast
14.2 Europe
- 14.2.1 Market Trends
- 14.2.2 Market Forecast
14.3 Asia Pacific
- 14.3.1 Market Trends
- 14.3.2 Market Forecast
14.4 Middle East and Africa
- 14.4.1 Market Trends
- 14.4.2 Market Forecast
14.5 Latin America
- 14.5.1 Market Trends
- 14.5.2 Market Forecast

15 Competitive Landscape

15.1 Market Structure
15.2 Key Players
15.3 Profiles of Key Players
- 15.3.1 Amazon Web Services Inc
- 15.3.2 Oracle Corporation
- 15.3.3 Google Inc
- 15.3.4 Hewlett-Packard
- 15.3.5 SAP SE
- 15.3.6 Accenture
- 15.3.7 IBM
- 15.3.8 SAS Institute
- 15.3.9 Dell EMC
- 15.3.10 Teradata
- 15.3.11 Alteryx Ltd
- 15.3.12 Opera Solutions
- 15.3.13 Wipro
- 15.3.14 Information Builders
- 15.3.15 MicroStrategy Inc

简介目录图表

List of Figures

Figure 1: Global: Big Data as a Service Market: Major Drivers and Challenges
Figure 2: Global: Big Data as a Service Market: Sales Value (in Billion US$), 2018-2023
Figure 3: Global: Big Data as a Service Market: Breakup by Solution (in %), 2023
Figure 4: Global: Big Data as a Service Market: Breakup by Deployment Model (in %), 2023
Figure 5: Global: Big Data as a Service Market: Breakup by Platform Type (in %), 2023
Figure 6: Global: Big Data as a Service Market: Breakup by Organization Size (in %), 2023
Figure 7: Global: Big Data as a Service Market: Breakup by Verticals (in %), 2023
Figure 8: Global: Big Data as a Service Market: Breakup by Region (in %), 2023
Figure 9: Global: Big Data as a Service Market Forecast: Sales Value (in Billion US$), 2024-2032
Figure 10: Global: Big Data as a Service Industry: SWOT Analysis
Figure 11: Global: Big Data as a Service Industry: Value Chain Analysis
Figure 12: Global: Big Data as a Service Industry: Porter's Five Forces Analysis
Figure 13: Global: Big Data as a Service (Hadoop-as-a-Service) Market: Sales Value (in Million US$), 2018 & 2023
Figure 14: Global: Big Data as a Service (Hadoop-as-a-Service) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 15: Global: Big Data as a Service (Data-as-a-Service) Market: Sales Value (in Million US$), 2018 & 2023
Figure 16: Global: Big Data as a Service (Data-as-a-Service) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 17: Global: Big Data as a Service (Data Analytics-as-a-Service) Market: Sales Value (in Million US$), 2018 & 2023
Figure 18: Global: Big Data as a Service (Data Analytics-as-a-Service) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 19: Global: Big Data as a Service (Public Cloud) Market: Sales Value (in Million US$), 2018 & 2023
Figure 20: Global: Big Data as a Service (Public Cloud) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 21: Global: Big Data as a Service (Private Cloud) Market: Sales Value (in Million US$), 2018 & 2023
Figure 22: Global: Big Data as a Service (Private Cloud) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 23: Global: Big Data as a Service (Hybrid Cloud) Market: Sales Value (in Million US$), 2018 & 2023
Figure 24: Global: Big Data as a Service (Hybrid Cloud) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 25: Global: Big Data as a Service (JAVA) Market: Sales Value (in Million US$), 2018 & 2023
Figure 26: Global: Big Data as a Service (JAVA) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 27: Global: Big Data as a Service (Microsoft) Market: Sales Value (in Million US$), 2018 & 2023
Figure 28: Global: Big Data as a Service (Microsoft) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 29: Global: Big Data as a Service (Oracle) Market: Sales Value (in Million US$), 2018 & 2023
Figure 30: Global: Big Data as a Service (Oracle) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 31: Global: Big Data as a Service (SAP) Market: Sales Value (in Million US$), 2018 & 2023
Figure 32: Global: Big Data as a Service (SAP) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 33: Global: Big Data as a Service (Other Platform Types) Market: Sales Value (in Million US$), 2018 & 2023
Figure 34: Global: Big Data as a Service (Other Platform Types) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 35: Global: Big Data as a Service (Small and Medium-Sized Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
Figure 36: Global: Big Data as a Service (Small and Medium-Sized Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 37: Global: Big Data as a Service (Large Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
Figure 38: Global: Big Data as a Service (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 39: Global: Big Data as a Service (BFSI) Market: Sales Value (in Million US$), 2018 & 2023
Figure 40: Global: Big Data as a Service (BFSI) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 41: Global: Big Data as a Service (Healthcare) Market: Sales Value (in Million US$), 2018 & 2023
Figure 42: Global: Big Data as a Service (Healthcare) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 43: Global: Big Data as a Service (Retail) Market: Sales Value (in Million US$), 2018 & 2023
Figure 44: Global: Big Data as a Service (Retail) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 45: Global: Big Data as a Service (IT and Telecommunication) Market: Sales Value (in Million US$), 2018 & 2023
Figure 46: Global: Big Data as a Service (IT and Telecommunication) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 47: Global: Big Data as a Service (Manufacturing) Market: Sales Value (in Million US$), 2018 & 2023
Figure 48: Global: Big Data as a Service (Manufacturing) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 49: Global: Big Data as a Service (Media and Entertainment) Market: Sales Value (in Million US$), 2018 & 2023
Figure 50: Global: Big Data as a Service (Media and Entertainment) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 51: Global: Big Data as a Service (Other Verticals) Market: Sales Value (in Million US$), 2018 & 2023
Figure 52: Global: Big Data as a Service (Other Verticals) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 53: North America: Big Data as a Service Market: Sales Value (in Million US$), 2018 & 2023
Figure 54: North America: Big Data as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 55: Europe: Big Data as a Service Market: Sales Value (in Million US$), 2018 & 2023
Figure 56: Europe: Big Data as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 57: Asia Pacific: Big Data as a Service Market: Sales Value (in Million US$), 2018 & 2023
Figure 58: Asia Pacific: Big Data as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 59: Middle East and Africa: Big Data as a Service Market: Sales Value (in Million US$), 2018 & 2023
Figure 60: Middle East and Africa: Big Data as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 61: Latin America: Big Data as a Service Market: Sales Value (in Million US$), 2018 & 2023
Figure 62: Latin America: Big Data as a Service Market Forecast: Sales Value (in Million US$), 2024-2032

List of Tables

Table 1: Global: Big Data as a Service Market: Key Industry Highlights, 2023 and 2032
Table 2: Global: Big Data as a Service Market Forecast: Breakup by Solution (in Million US$), 2024-2032
Table 3: Global: Big Data as a Service Market Forecast: Breakup by Deployment Model (in Million US$), 2024-2032
Table 4: Global: Big Data as a Service Market Forecast: Breakup by Platform Type (in Million US$), 2024-2032
Table 5: Global: Big Data as a Service Market Forecast: Breakup by Organization Size (in Million US$), 2024-2032
Table 6: Global: Big Data as a Service Market Forecast: Breakup by Verticals (in Million US$), 2024-2032
Table 7: Global: Big Data as a Service Market Forecast: Breakup by Region (in Million US$), 2024-2032
Table 8: Global: Big Data as a Service Market: Competitive Structure
Table 9: Global: Big Data as a Service Market: Key Players

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按解决方案（Hadoop 即服务、资料即服务、资料分析即服务）、部署模型、平台类型、组织规模、垂直产业和区域分類的大数据即服务市场报告 2024 -2032

Big Data as a Service Market Report by Solution (Hadoop-as-a-Service, Data-as-a-Service, Data Analytics-as-a-Service ), Deployment Model, Platform Type, Organization Size, Verticals, and Region 2024-2032

大数据即服务市场趋势/驱动因素：

目录

第一章：前言

第 2 章：范围与方法

第 3 章：执行摘要

第 4 章：简介

第 5 章：全球大数据即服务市场

第 6 章：SWOT 分析

第 7 章：价值链分析

第 8 章：波特的五力分析

第 9 章：市场区隔：按解决方案

第 10 章：市场区隔：依部署模型

第 11 章：市场区隔：依平台类型

第 12 章：市场区隔：依组织规模

第 13 章：市场区隔：依垂直领域

第 14 章：市场区隔：按地区

第15章：竞争格局