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市場調查報告書
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1574294

資料即服務市場：依服務模式、服務類型分類 - 2025-2030 年全球預測

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個工作天內

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2023年數據即服務市場規模為198.2億美元，預計2024年將達到234.3億美元，複合年成長率為18.47%，到2030年將達到649.5億美元。

數據即服務 (DaaS) 是一種雲端基礎的服務模型，為組織提供與資料相關的服務，使組織能夠存取、管理和分析資料，而無需承擔傳統儲存和管理的負擔。對於那些希望在不進行重大基礎設施投資的情況下利用資料的公司來說，該模型非常寶貴，可以提供擴充性、靈活性和即時資料管理。 DaaS 的需求源自於對資料主導決策、巨量資料分析以及平台之間無縫整合不斷成長的需求。 DaaS 正在應用於各個領域，包括醫療保健、金融、零售和製造，在這些領域，來自大量資料池的洞察可以極大地提高策略行動和業務效率。最終用戶通常包括資料科學家、分析師和公司策略部門。

主要市場統計
基準年[2023] 198.2億美元
預測年份 [2024] 234.3億美元
預測年份 [2030] 649.5億美元
複合年成長率（%） 18.47%

根據市場洞察，關鍵的成長要素包括產生大量資料的物聯網設備的激增、用於資料分析的人工智慧和機器學習技術的進步以及推動高效資料管理解決方案需求的監管合規性。目前的機會存在於個人化醫療、智慧城市和新興的金融科技產業等利基市場，這些市場中的資料可用於客製化服務並改善用戶體驗。利用這些機會需要與技術提供者建立策略夥伴關係並投資客製化資料解決方案。然而，挑戰包括資料隱私、安全風險、高昂的初始整合成本以及由於技術快速發展而導致的潛在技術過時的擔憂。

研究和開發應著重於加強資料安全措施、開發更有效率的資料整合工具以及建構滿足特定產業需求的人工智慧主導的分析平台。公司還應該考慮探索利用雲端和本地資料框架的混合模式，以提供靈活性並解決安全問題。 DaaS 市場的本質是高度動態的，凸顯了對敏捷性、持續創新和對監管趨勢保持警惕的需求。成功駕馭這個市場需要對消費者需求的敏銳理解和快速適應技術進步的遠見，確保持續的競爭優勢和成長。

市場動態：揭示快速發展的數據即服務市場的關鍵市場洞察

供應和需求的動態交互作用正在改變數據即服務市場。透過了解這些不斷變化的市場動態，公司可以準備好做出明智的投資決策、完善策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，並了解消費行為及其對製造成本的影響，並更清楚地了解對採購趨勢的影響。

  • 市場促進因素
    • 策略性商業決策越來越依賴資料分析以保持競爭優勢
    • 雲端處理的興起實現了可擴展且經濟高效的資料服務解決方案
    • 物聯網設備產生的資料量不斷增加，需要進階資料管理服務
    • 對合規性和資料安全法規的重視推動了對進階資料服務的需求
  • 市場限制因素
    • 遵守監管要求是資料即服務提供者的主要障礙。
    • 對數據即服務的好處缺乏認知阻礙了市場擴張
  • 市場機會
    • 利用巨量資料分析為業務決策提供預測性見解
    • 為多重雲端和混合雲端環境提供全面的資料管理解決方案
    • 利用即時資料處理改善客戶體驗和業務效率
  • 市場挑戰
    • 確保資料隱私、安全並符合監管要求
    • 有效處理大量資料的可擴展性和效能挑戰

波特五力：引領數據即服務市場的策略工具

波特的五力架構是了解數據即服務市場競爭格局的重要工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢、解決弱點並避免潛在的挑戰，以確保更強大的市場地位。

PESTLE分析：了解資料即服務市場的外部影響

外部宏觀環境因素在塑造數據即服務市場的績效動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化，並幫助他們做出積極主動的決策。

市場佔有率分析 了解數據即服務市場的競爭狀況

數據即服務市場的詳細市場佔有率分析可以對供應商績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示自己的競爭定位。該分析揭示了市場集中、分散和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，使他們能夠在日益激烈的競爭中佔有一席之地。

FPNV 定位矩陣 資料即服務市場供應商績效評估

FPNV定位矩陣是評估資料即服務市場供應商的重要工具。此矩陣允許業務組織根據供應商的商務策略和產品滿意度評估供應商，從而做出符合其目標的明智決策。這四個象限使您能夠清晰、準確地分類供應商，以確定最能滿足您的策略目標的合作夥伴和解決方案。

策略分析與建議，規劃數據即服務市場的成功之路

對於旨在加強其在全球市場的影響力的公司來說，數據即服務市場的策略分析至關重要。透過考慮關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭環境中的挑戰，利用新的商機並取得長期成功。

本報告對市場進行了全面分析，涵蓋關鍵重點領域：

1. 市場滲透率：詳細檢視當前市場環境、主要企業的廣泛資料、評估其在市場中的影響力和整體影響力。

2. 市場開拓：辨識新興市場的成長機會，評估現有領域的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監理核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，以幫助相關人員做出明智的決策：

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 策略性商業決策越來越依賴資料分析以保持競爭力
      • 雲端運算的普及實現了可擴展且經濟高效的資訊服務解決方案
      • 物聯網設備產生的資料量不斷增加，需要先進的資料管理服務
      • 對合規性和資料安全法規的日益關注，推動了對進階資訊服務的需求
    • 抑制因素
      • 遵守監管要求是資料即服務提供者的主要障礙
      • 對數據即服務優勢的認知有限阻礙了市場擴張
    • 機會
      • 利用巨量資料分析為業務決策提供預測性見解
      • 為多重雲端和混合雲端環境提供全面的資料管理解決方案
      • 透過即時資料處理改善客戶體驗和業務效率
    • 任務
      • 確保資料隱私、安全並符合監管要求
      • 高效處理大量資料時的可擴展性和效能挑戰
  • 市場區隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境

第6章依服務模式分類的資料即服務市場

  • 基礎架構即服務
  • 平台即服務
  • 軟體即服務

第7章資料即服務市場：依服務類型

  • 諮詢
  • 支援與維護
  • 培訓和教育

第8章美洲的數據即服務市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第9章亞太地區資料即服務市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第10章歐洲、中東和非洲的數據即服務市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第11章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
  • 戰略分析和建議
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