查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1574294

资料即服务市场：依服务模式、服务类型划分 - 2025-2030 年全球预测

Data as a Service Market by Service Model (Infrastructure As A Service, Platform As A Service, Software As A Service), Service Type (Consulting, Support And Maintenance, Training And Education) - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 199 Pages | 商品交期: 最快1-2个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

2023年数据即服务市场规模为198.2亿美元，预计2024年将达到234.3亿美元，复合年增长率为18.47%，到2030年将达到649.5亿美元。

数据即服务 (DaaS) 是一种云端基础的服务模型，为组织提供与资料相关的服务，使组织能够存取、管理和分析资料，而无需承担传统储存和管理的负担。对于那些希望在不进行重大基础设施投资的情况下利用资料的公司来说，该模型非常宝贵，可以提供扩充性、灵活性和即时资料管理。 DaaS 的需求源自于对资料主导决策、巨量资料分析以及平台之间无缝整合不断增长的需求。 DaaS 正在应用于各个领域，包括医疗保健、金融、零售和製造，在这些领域，来自大量资料池的洞察可以极大地提高策略行动和业务效率。最终用户通常包括资料科学家、分析师和公司策略部门。

主要市场统计
基准年[2023] 198.2亿美元
预测年份 [2024] 234.3亿美元
预测年份 [2030] 649.5亿美元
复合年增长率（%） 18.47%

根据市场洞察，关键的成长要素包括产生大量资料的物联网设备的激增、用于资料分析的人工智慧和机器学习技术的进步以及推动高效资料管理解决方案需求的监管合规性。目前的机会存在于个人化医疗、智慧城市和新兴的金融科技产业等利基市场，这些市场中的资料可用于客製化服务并改善用户体验。利用这些机会需要与技术提供者建立策略伙伴关係并投资客製化资料解决方案。然而，挑战包括资料隐私、安全风险、高昂的初始整合成本以及由于技术快速发展而导致的潜在技术过时的担忧。

研究和开发应着重于加强资料安全措施、开发更有效率的资料整合工具以及建构满足特定产业需求的人工智慧主导的分析平台。公司还应该考虑探索利用云端和本地资料框架的混合模式，以提供灵活性并解决安全问题。 DaaS 市场的本质是高度动态的，凸显了对敏捷性、持续创新和对监管趋势保持警惕的需求。成功驾驭这个市场需要对消费者需求的敏锐理解和快速适应技术进步的远见，确保持续的竞争优势和成长。

市场动态：揭示快速发展的数据即服务市场的关键市场洞察

供应和需求的动态交互作用正在改变数据即服务市场。透过了解这些不断变化的市场动态，公司可以准备好做出明智的投资决策、完善策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险，并了解消费行为及其对製造成本的影响，并更清楚地了解对采购趋势的影响。

  • 市场驱动因素
    • 策略性商业决策越来越依赖资料分析以保持竞争优势
    • 云端处理的兴起实现了可扩展且经济高效的资料服务解决方案
    • 物联网设备产生的资料量不断增加，需要进阶资料管理服务
    • 对合规性和资料安全法规的重视推动了对进阶资料服务的需求
  • 市场限制因素
    • 遵守监管要求是资料即服务提供者的主要障碍。
    • 对数据即服务的好处缺乏认识阻碍了市场扩张
  • 市场机会
    • 利用巨量资料分析为业务决策提供预测性见解
    • 为多重云端和混合云端环境提供全面的资料管理解决方案
    • 利用即时资料处理改善客户体验和业务效率
  • 市场挑战
    • 确保资料隐私、安全并符合监管要求
    • 有效处理大量资料的可扩展性和效能挑战

波特五力：引领数据即服务市场的策略工具

波特的五力架构是了解数据即服务市场竞争格局的重要工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势、解决弱点并避免潜在的挑战，以确保更强大的市场地位。

PESTLE分析：了解资料即服务市场的外部影响

外部宏观环境因素在塑造数据即服务市场的绩效动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素，公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化，并帮助他们做出积极主动的决策。

市场占有率分析 了解数据即服务市场的竞争状况

数据即服务市场的详细市场占有率分析可以对供应商绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示自己的竞争定位。该分析揭示了市场集中、分散和整合的趋势，为供应商提供了製定策略决策所需的洞察力，使他们能够在日益激烈的竞争中占有一席之地。

FPNV 定位矩阵 资料即服务市场供应商绩效评估

FPNV定位矩阵是评估资料即服务市场供应商的重要工具。此矩阵允许业务组织根据供应商的商务策略和产品满意度评估供应商，从而做出符合其目标的明智决策。这四个象限使您能够清晰、准确地划分供应商，以确定最能满足您的策略目标的合作伙伴和解决方案。

策略分析与建议，规划数据即服务市场的成功之路

对于旨在加强其在全球市场的影响力的公司来说，数据即服务市场的策略分析至关重要。透过考虑关键资源、能力和绩效指标，公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战，利用新的商机并取得长期成功。

本报告对市场进行了全面分析，涵盖关键重点领域：

1. 市场渗透率：详细检视当前市场环境、主要企业的广泛资料、评估其在市场中的影响力和整体影响力。

2. 市场开拓：辨识新兴市场的成长机会，评估现有领域的扩张潜力，并提供未来成长的策略蓝图。

3. 市场多元化：分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报：彻底分析竞争格局，检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。

5. 产品开发与创新：重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题，以帮助相关人员做出明智的决策：

1.目前的市场规模和未来的成长预测是多少？

2. 哪些产品、区隔市场和地区提供最佳投资机会？

3.塑造市场的主要技术趋势和监管影响是什么？

4.主要厂商的市场占有率和竞争地位如何？

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么？

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 策略性商业决策越来越依赖资料分析以保持竞争力
      • 云端运算的普及实现了可扩展且经济高效的资讯服务解决方案
      • 物联网设备产生的资料量不断增加，需要先进的资料管理服务
      • 对合规性和资料安全法规的日益关注，推动了对进阶资讯服务的需求
    • 抑制因素
      • 遵守监管要求是资料即服务提供者的主要障碍
      • 对数据即服务优势的认识有限阻碍了市场扩张
    • 机会
      • 利用巨量资料分析为业务决策提供预测性见解
      • 为多重云端和混合云端环境提供全面的资料管理解决方案
      • 透过即时资料处理改善客户体验和业务效率
    • 任务
      • 确保资料隐私、安全并符合监管要求
      • 高效处理大量资料时的可扩展性和效能挑战
  • 市场区隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社群
    • 技术的
    • 合法地
    • 环境

第六章依服务模式分類的资料即服务市场

  • 基础架构即服务
  • 平台即服务
  • 软体即服务

第七章资料即服务市场：依服务类型

  • 咨询
  • 支援与维护
  • 培训和教育

第八章美洲的数据即服务市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第九章亚太地区资料即服务市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第10章欧洲、中东和非洲的数据即服务市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十一章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
  • 战略分析和建议
Product Code: MRR-1A1A064C003C

The Data as a Service Market was valued at USD 19.82 billion in 2023, expected to reach USD 23.43 billion in 2024, and is projected to grow at a CAGR of 18.47%, to USD 64.95 billion by 2030.

Data as a Service (DaaS) is a cloud-based service model that provides data-related services to organizations, allowing them to access, manage, and analyze data without traditional storage and management burdens. This model is invaluable for businesses looking to leverage data without hefty infrastructure investments, offering scalability, flexibility, and real-time data management. The necessity of DaaS arises from the growing demand for data-driven decision-making, big data analytics, and the need for seamless integration across platforms. It finds applications across multiple sectors, including healthcare, finance, retail, and manufacturing, where insights from vast data pools can drastically enhance strategic actions and operational efficiencies. End-users often include data scientists, analysts, and corporate strategic departments.

KEY MARKET STATISTICS
Base Year [2023] USD 19.82 billion
Estimated Year [2024] USD 23.43 billion
Forecast Year [2030] USD 64.95 billion
CAGR (%) 18.47%

Market insights reveal that key growth factors include the proliferation of IoT devices generating massive data volumes, advancements in AI and ML techniques for data analysis, and the growing importance of regulatory compliance driving demand for efficient data management solutions. Current opportunities lie in niche markets like personalized healthcare, smart cities, and the burgeoning fintech sector, where data utilization can tailor services and improve user experiences. Exploiting these opportunities requires strategic partnerships with technology providers and investment in bespoke data solutions. However, challenges include concerns over data privacy, security risks, high initial integration costs, and potential technological obsolescence due to rapidly evolving technologies.

Innovation and research should focus on enhancing data security measures, developing more efficient data integration tools, and creating AI-driven analytics platforms that cater to industry-specific needs. Companies should also consider exploring hybrid models that leverage both cloud and on-premises data frameworks to provide flexibility and address security concerns. The nature of the DaaS market is highly dynamic, emphasizing the need for agility, continuous innovation, and vigilance towards regulatory developments. Successfully navigating this market requires a keen understanding of consumer needs and the foresight to adapt to technological advancements swiftly, ensuring sustained competitive advantage and growth.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Data as a Service Market

The Data as a Service Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Increasing reliance on data analytics for strategic business decisions to stay competitive
    • Proliferation of cloud computing enabling scalable and cost-effective data service solutions
    • Growing volumes of data generated by IoT devices necessitating advanced data management services
    • Heightened emphasis on compliance and data security regulations driving demand for sophisticated data services
  • Market Restraints
    • Compliance with regulatory requirements is a significant barrier for data as a service providers
    • Limited awareness about the benefits of data as a service hampers market expansion
  • Market Opportunities
    • Leveraging big data analytics to provide predictive insights for business decision making
    • Offering comprehensive data management solutions for multi-cloud and hybrid cloud environments
    • Utilizing real-time data processing to enhance customer experience and operational efficiency
  • Market Challenges
    • Ensuring data privacy, security, and compliance with regulatory requirements
    • Scalability and performance challenges in handling large volumes of data efficiently

Porter's Five Forces: A Strategic Tool for Navigating the Data as a Service Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Data as a Service Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Data as a Service Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Data as a Service Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Data as a Service Market

A detailed market share analysis in the Data as a Service Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Data as a Service Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Data as a Service Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Data as a Service Market

A strategic analysis of the Data as a Service Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Data as a Service Market, highlighting leading vendors and their innovative profiles. These include Alibaba Cloud, Alteryx, Inc., Amazon Web Services, Inc., Cloudera, Inc., Domo, Inc., Google LLC, IBM Corporation, Informatica LLC, Microsoft Corporation, Oracle Corporation, Palantir Technologies Inc., Qlik Technologies, Inc., Salesforce.com, Inc., SAP SE, SAS Institute Inc., Snowflake Inc., Splunk Inc., Teradata Corporation, TIBCO Software Inc., and Workiva Inc..

Market Segmentation & Coverage

This research report categorizes the Data as a Service Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Service Model, market is studied across Infrastructure As A Service, Platform As A Service, and Software As A Service.
  • Based on Service Type, market is studied across Consulting, Support And Maintenance, and Training And Education.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Increasing reliance on data analytics for strategic business decisions to stay competitive
      • 5.1.1.2. Proliferation of cloud computing enabling scalable and cost-effective data service solutions
      • 5.1.1.3. Growing volumes of data generated by IoT devices necessitating advanced data management services
      • 5.1.1.4. Heightened emphasis on compliance and data security regulations driving demand for sophisticated data services
    • 5.1.2. Restraints
      • 5.1.2.1. Compliance with regulatory requirements is a significant barrier for data as a service providers
      • 5.1.2.2. Limited awareness about the benefits of data as a service hampers market expansion
    • 5.1.3. Opportunities
      • 5.1.3.1. Leveraging big data analytics to provide predictive insights for business decision making
      • 5.1.3.2. Offering comprehensive data management solutions for multi-cloud and hybrid cloud environments
      • 5.1.3.3. Utilizing real-time data processing to enhance customer experience and operational efficiency
    • 5.1.4. Challenges
      • 5.1.4.1. Ensuring data privacy, security, and compliance with regulatory requirements
      • 5.1.4.2. Scalability and performance challenges in handling large volumes of data efficiently
  • 5.2. Market Segmentation Analysis
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Data as a Service Market, by Service Model

  • 6.1. Introduction
  • 6.2. Infrastructure As A Service
  • 6.3. Platform As A Service
  • 6.4. Software As A Service

7. Data as a Service Market, by Service Type

  • 7.1. Introduction
  • 7.2. Consulting
  • 7.3. Support And Maintenance
  • 7.4. Training And Education

8. Americas Data as a Service Market

  • 8.1. Introduction
  • 8.2. Argentina
  • 8.3. Brazil
  • 8.4. Canada
  • 8.5. Mexico
  • 8.6. United States

9. Asia-Pacific Data as a Service Market

  • 9.1. Introduction
  • 9.2. Australia
  • 9.3. China
  • 9.4. India
  • 9.5. Indonesia
  • 9.6. Japan
  • 9.7. Malaysia
  • 9.8. Philippines
  • 9.9. Singapore
  • 9.10. South Korea
  • 9.11. Taiwan
  • 9.12. Thailand
  • 9.13. Vietnam

10. Europe, Middle East & Africa Data as a Service Market

  • 10.1. Introduction
  • 10.2. Denmark
  • 10.3. Egypt
  • 10.4. Finland
  • 10.5. France
  • 10.6. Germany
  • 10.7. Israel
  • 10.8. Italy
  • 10.9. Netherlands
  • 10.10. Nigeria
  • 10.11. Norway
  • 10.12. Poland
  • 10.13. Qatar
  • 10.14. Russia
  • 10.15. Saudi Arabia
  • 10.16. South Africa
  • 10.17. Spain
  • 10.18. Sweden
  • 10.19. Switzerland
  • 10.20. Turkey
  • 10.21. United Arab Emirates
  • 10.22. United Kingdom

11. Competitive Landscape

  • 11.1. Market Share Analysis, 2023
  • 11.2. FPNV Positioning Matrix, 2023
  • 11.3. Competitive Scenario Analysis
  • 11.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Alibaba Cloud
  • 2. Alteryx, Inc.
  • 3. Amazon Web Services, Inc.
  • 4. Cloudera, Inc.
  • 5. Domo, Inc.
  • 6. Google LLC
  • 7. IBM Corporation
  • 8. Informatica LLC
  • 9. Microsoft Corporation
  • 10. Oracle Corporation
  • 11. Palantir Technologies Inc.
  • 12. Qlik Technologies, Inc.
  • 13. Salesforce.com, Inc.
  • 14. SAP SE
  • 15. SAS Institute Inc.
  • 16. Snowflake Inc.
  • 17. Splunk Inc.
  • 18. Teradata Corporation
  • 19. TIBCO Software Inc.
  • 20. Workiva Inc.

LIST OF FIGURES

  • FIGURE 1. DATA AS A SERVICE MARKET RESEARCH PROCESS
  • FIGURE 2. DATA AS A SERVICE MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL DATA AS A SERVICE MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL DATA AS A SERVICE MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. AMERICAS DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 11. AMERICAS DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. UNITED STATES DATA AS A SERVICE MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 13. UNITED STATES DATA AS A SERVICE MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. ASIA-PACIFIC DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 15. ASIA-PACIFIC DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. EUROPE, MIDDLE EAST & AFRICA DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 17. EUROPE, MIDDLE EAST & AFRICA DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. DATA AS A SERVICE MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 19. DATA AS A SERVICE MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. DATA AS A SERVICE MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL DATA AS A SERVICE MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL DATA AS A SERVICE MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. DATA AS A SERVICE MARKET DYNAMICS
  • TABLE 7. GLOBAL DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL DATA AS A SERVICE MARKET SIZE, BY INFRASTRUCTURE AS A SERVICE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL DATA AS A SERVICE MARKET SIZE, BY PLATFORM AS A SERVICE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL DATA AS A SERVICE MARKET SIZE, BY SOFTWARE AS A SERVICE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL DATA AS A SERVICE MARKET SIZE, BY CONSULTING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL DATA AS A SERVICE MARKET SIZE, BY SUPPORT AND MAINTENANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL DATA AS A SERVICE MARKET SIZE, BY TRAINING AND EDUCATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. AMERICAS DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 16. AMERICAS DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 17. AMERICAS DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 18. ARGENTINA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 19. ARGENTINA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 20. BRAZIL DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 21. BRAZIL DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 22. CANADA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 23. CANADA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 24. MEXICO DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 25. MEXICO DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 26. UNITED STATES DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 27. UNITED STATES DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 28. UNITED STATES DATA AS A SERVICE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 29. ASIA-PACIFIC DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 30. ASIA-PACIFIC DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 31. ASIA-PACIFIC DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 32. AUSTRALIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 33. AUSTRALIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 34. CHINA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 35. CHINA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 36. INDIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 37. INDIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 38. INDONESIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 39. INDONESIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 40. JAPAN DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 41. JAPAN DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 42. MALAYSIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 43. MALAYSIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 44. PHILIPPINES DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 45. PHILIPPINES DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 46. SINGAPORE DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 47. SINGAPORE DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 48. SOUTH KOREA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 49. SOUTH KOREA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 50. TAIWAN DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 51. TAIWAN DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 52. THAILAND DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 53. THAILAND DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 54. VIETNAM DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 55. VIETNAM DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 56. EUROPE, MIDDLE EAST & AFRICA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 57. EUROPE, MIDDLE EAST & AFRICA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 58. EUROPE, MIDDLE EAST & AFRICA DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 59. DENMARK DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 60. DENMARK DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 61. EGYPT DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 62. EGYPT DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 63. FINLAND DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 64. FINLAND DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 65. FRANCE DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 66. FRANCE DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 67. GERMANY DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 68. GERMANY DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 69. ISRAEL DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 70. ISRAEL DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 71. ITALY DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 72. ITALY DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 73. NETHERLANDS DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 74. NETHERLANDS DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 75. NIGERIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 76. NIGERIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 77. NORWAY DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 78. NORWAY DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 79. POLAND DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 80. POLAND DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 81. QATAR DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 82. QATAR DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 83. RUSSIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 84. RUSSIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 85. SAUDI ARABIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 86. SAUDI ARABIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 87. SOUTH AFRICA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 88. SOUTH AFRICA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 89. SPAIN DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 90. SPAIN DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 91. SWEDEN DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 92. SWEDEN DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 93. SWITZERLAND DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 94. SWITZERLAND DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 95. TURKEY DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 96. TURKEY DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 97. UNITED ARAB EMIRATES DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 98. UNITED ARAB EMIRATES DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 99. UNITED KINGDOM DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
  • TABLE 100. UNITED KINGDOM DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 101. DATA AS A SERVICE MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 102. DATA AS A SERVICE MARKET, FPNV POSITIONING MATRIX, 2023