查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1880508

资料即服务(DaaS) 市场预测至 2032 年：按组件、服务类型、部署模式、组织规模、应用程式、最终用户和地区分類的全球分析

Data-as-a-Service (DaaS) Market Forecasts to 2032 - Global Analysis By Component (Platforms, Services, and Tools & Solutions), Service Type, Deployment Model, Organization Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球资料即服务(DaaS) 市场规模将达到 456 亿美元，到 2032 年将达到 2638.4 亿美元，预测期内复合年增长率为 28.5%。

资料即服务(DaaS) 是一种基于云端的方法，它透过 API 和线上介面按需向使用者和系统交付资料。这使得企业无需处理繁重的后端系统，即可取得、组织和使用可靠、最新的资讯。借助云端基础的储存和交付，DaaS 可降低基础设施成本、提高资料可用性并增强分析能力。此模式确保了扩充性、易于整合和无缝的资料交付，使组织能够利用一致的高品质数据来提升营运绩效和策略决策水准。

根据联想2022年的一项调查，82%的IT领导者希望科技能支持职场的新价值观。

成本效益和营运支出模型

企业正加速订阅式资讯服务，以避免前期基础设施投资。这种营运成本模式可根据业务需求和即时工作负载灵活扩展。云端原生资料交付有助于优化储存、处理和集成，而无需维护复杂的系统。对于面临资料量不断成长的企业而言，资料即服务 (DaaS) 平台提供了比传统本地部署解决方案更经济的选择。对财务灵活性和资源优化的日益关注正在推动市场扩张。

资料安全和隐私问题

由于有资料外洩风险，各组织机构对将敏感资讯迁移到外部平台持谨慎态度。各地区严格的资料保护条例也使全球企业的合规工作更加复杂。对未授权存取和加密方法不一致的担忧进一步限制了广泛信任的建立。医疗保健和金融等行业实施的严格隐私标准正在减缓向云端基础资讯服务的转型。这些持续存在的风险是限制市场成长的主要阻碍因素。

高级分析服务

企业越来越依赖即时洞察来支援决策和预测建模。配备人工智慧、机器学习和巨量资料分析功能的DaaS平台正在改变企业利用资讯的方式。整合的分析工具使用户能够以最小的技术负担从复杂的资料集中提取有意义的模式。企业正在采用分析主导的DaaS解决方案来加速数位转型并提升营运智慧。这种对数据增强型策略日益增长的关注，代表着市场的关键成长方向。

对网路连线的依赖

网路连线中断会阻碍资料存取，影响业务永续营运。位于偏远地区或基础设施薄弱地区的企业面临网路可用性不稳定的问题。延迟问题会导致资料撷取、同步和即时分析工作流程出现延误。云端存取中断会增加资料密集型企业的营运风险。这种对网路可靠性的依赖持续对市场表现构成重大威胁。

新冠疫情的感染疾病：

疫情加速了数位转型，并促使更多企业采用云端基础的资料交付模式。许多组织采用资料即服务(DaaS) 来支援远端营运和分散式办公室。封锁措施凸显了各行业对集中式、易于存取且扩充性的数据平台的需求。然而，IT 预算的削减暂时减缓了部分产业对 DaaS 的投资。疫情后的復苏阶段，企业更加重视自动化、弹性以及云端原生资料整合。随着企业将长期数位连续性置于优先地位，DaaS 正成为推动现代化转型的重要动力。

预计在预测期内，平台细分市场将占据最大的市场份额。

由于对整合资料交付环境的需求不断增长，预计平台细分市场将在预测期内占据最大的市场份额。这些平台透过单一统一的介面简化了资料撷取、处理和交付流程。企业之所以青睐基于平台的服务，是因为它们扩充性，能够支援各种应用，并且易于部署。与分析工具和企业系统的互通性不断增强，也进一步推动了平台解决方案的普及。随着企业对其资料架构进行现代化改造，以平台为中心的解决方案正成为建构基础架构的重要模组。

预计在预测期内，医疗保健和生命科学领域将实现最高的复合年增长率。

由于医疗保健和生命科学行业高度依赖即时数据，预计该行业在预测期内将实现最高成长率。电子健康记录、临床分析和个人化医疗的日益普及正在推动数据即服务 (DaaS) 的需求。医院和研究机构正在利用云端基础资讯服务来改善诊断和病患管理。基因组数据、影像数据和穿戴式健康数据的整合进一步加速了云端洞察的产生。

占比最大的地区：

由于新兴经济体对云端运算的快速采用，预计亚太地区在预测期内将保持最大的市场份额。中国、印度和日本等国家正大力投资数位基础设施和数据驱动技术。该地区的企业正在增加对数据即服务 (DaaS) 的使用，以支援大规模现代化倡议。政府为促进数位生态系统而推出的计划正在加速云端基础的数据整合。电子商务、金融科技和智慧製造的兴起正在推动该地区的数据需求成长。

复合年增长率最高的地区：

预计在预测期内，北美将实现最高的复合年增长率，这主要得益于其强大的技术基础。美国和加拿大的企业率先采用者人工智慧驱动的分析、云端平台和第三方资讯服务。资料管治框架的进步正推动企业扩大其云端基础资料规模。研发和企业数位化的巨额投资持续加速资料即服务(DaaS) 的普及。此外，该地区成熟的专业资讯服务提供者生态系统也为其发展提供了有力支撑。

免费客製化服务：

购买此报告的客户可以选择以下免费自订选项之一：

  • 公司概况
    • 对其他市场公司（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户要求，提供主要国家的市场估算和预测以及复合年增长率（註：可行性需确认）。
  • 竞争基准化分析
    • 根据主要企业的产品系列、地理覆盖范围和策略联盟基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 原始研究资料
    • 次级研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球资料即服务(DaaS) 市场按组件划分

  • 介绍
  • 平台
  • 服务
  • 工具和解决方案

6. 全球资料即服务(DaaS) 市场按服务类型划分

  • 介绍
  • 大量资讯服务
  • 即时/串流资讯服务
  • 资料发现与查询服务
  • 数据分析服务

7. 依部署模式分類的全球资料即服务(DaaS) 市场

  • 介绍
  • 公共云端
  • 私有云端
  • 混合云端

8. 依组织规模分類的全球资料即服务(DaaS) 市场

  • 介绍
  • 大公司
  • 小型企业

9. 全球资料即服务(DaaS) 市场按应用领域划分

  • 介绍
  • 销售与行销分析
  • 商业智慧和报告
  • 风险与合规管理
  • 客户个性化
  • 供应链优化
  • 其他应用

第十章 全球资料即服务(DaaS) 市场（依最终使用者划分）

  • 介绍
  • BFSI
  • 零售与电子商务
  • 能源与公共产业
  • 医疗保健和生命科学
  • 运输/物流
  • 通讯
  • 政府和公共部门
  • 製造业
  • 其他最终用户

第十一章 全球资料即服务(DaaS) 市场（按地区划分）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与併购
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十三章：企业概况

  • Snowflake
  • Bright Data
  • Amazon Web Services
  • Foursquare
  • Microsoft
  • HERE Technologies
  • Google Cloud
  • Databricks
  • Oracle
  • Informatica
  • LiveRamp
  • ZoomInfo
  • Dun & Bradstreet
  • TransUnion
  • Experian
Product Code: SMRC32563

According to Stratistics MRC, the Global Data-as-a-Service (DaaS) Market is accounted for $45.60 billion in 2025 and is expected to reach $263.84 billion by 2032 growing at a CAGR of 28.5% during the forecast period. Data-as-a-Service (DaaS) refers to a cloud-enabled approach where data is supplied to users and systems whenever required through APIs or online interfaces. It helps companies obtain, organize, and utilize reliable, up-to-date information without handling heavy backend systems. With cloud-based storage and delivery, DaaS lowers infrastructure expenses, increases data availability, and strengthens analytics. The model ensures scalability, easy integration, and smooth data distribution, allowing organizations to use consistent, high-quality data for better operational performance and strategic decisions.

According to a survey by Lenovo in 2022, 82% of IT leaders want to work with technology that upholds the workplace's new values.

Market Dynamics:

Driver:

Cost efficiency & OpEx model

Companies are increasingly shifting to subscription-based data services to avoid upfront infrastructure investments. This operational expenditure model enables flexible scaling based on business needs and real-time workloads. Cloud-native data delivery is helping enterprises optimize storage, processing, and integration without maintaining complex systems. As businesses face mounting data volumes, DaaS platforms provide a more economical alternative to traditional on-premises solutions. The growing emphasis on financial agility and resource optimization is firmly driving market expansion.

Restraint:

Data security & privacy concerns

Organizations are cautious about transferring sensitive information to external platforms due to the risk of data breaches. Strict data protection regulations across regions complicate compliance for global businesses. Concerns over unauthorized access and inconsistent encryption practices further limit widespread trust. Industries like healthcare and finance impose stringent privacy standards, slowing migration to cloud-based data services. These persistent risks act as a significant restraint on market growth.

Opportunity:

Advanced analytics services

Businesses are increasingly relying on real-time insights to support decision-making and predictive modeling. DaaS platforms equipped with AI, ML, and big data analytics capabilities are transforming how organizations utilize information. Integrated analytics tools allow users to extract meaningful patterns from complex datasets with minimal technical effort. Enterprises are adopting analytics-driven DaaS solutions to accelerate digital transformation and improve operational intelligence. This growing focus on data-enhanced strategy presents a major growth avenue for the market.

Threat:

Dependency on internet connectivity

Any disruption in connectivity can hinder data access, affecting business continuity. Organizations operating in remote or infrastructure-poor regions struggle with inconsistent network availability. Latency issues can delay data ingestion, synchronization, and real-time analytics workflows. Interruptions in cloud access increase operational risks for companies with data-intensive processes. This dependence on network reliability remains a critical threat to market performance.

Covid-19 Impact:

The pandemic accelerated digital transformation, leading to increased adoption of cloud-based data delivery models. Many organizations turned to DaaS to support remote operations and distributed workforces. Lockdowns highlighted the need for centralized, accessible, and scalable data platforms across industries. However, disruptions in IT budgets temporarily slowed DaaS investments in some sectors. Post-pandemic recovery has strengthened the focus on automation, resilience, and cloud-native data integration. As businesses prioritize long-term digital continuity, DaaS has emerged as a key enabler of modernization.

The platforms segment is expected to be the largest during the forecast period

The platforms segment is expected to account for the largest market share during the forecast period, due to rising demand for integrated data delivery environments. These platforms streamline data ingestion, processing, and distribution from a single unified interface. Companies prefer platform-based services for their scalability and ease of deployment across diverse applications. Enhanced interoperability with analytics tools and enterprise systems further drives adoption. As organizations modernize data architectures, platform-centric solutions are becoming foundational components.

The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate, due to its heavy dependence on real-time data. Rising use of digital health records, clinical analytics, and personalized medicine is boosting demand for DaaS. Hospitals and research institutions are leveraging cloud-based data services to improve diagnostics and patient management. Integration of genomic, imaging, and wearable health data is further accelerating cloud-driven insights.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, due to rapid cloud adoption across emerging economies. Nations such as China, India, and Japan are making significant investments in digital infrastructure and data-driven technologies. Enterprises in the region are increasingly using DaaS to support large-scale modernization initiatives. Government programs promoting digital ecosystems are accelerating cloud-based data integration. The rise of e-commerce, fintech, and smart manufacturing is strengthening regional data requirements.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, fueled by its strong technological foundation. Companies in the U.S. and Canada are early adopters of AI-driven analytics, cloud platforms, and third-party data services. Advancements in data governance frameworks are encouraging organizations to expand cloud-based data utilization. High investments in R&D and enterprise digitalization continue to accelerate DaaS adoption. The region also benefits from a mature ecosystem of providers offering specialized data services.

Key players in the market

Some of the key players in Data-as-a-Service (DaaS) Market include Snowflake, Bright Data, Amazon Web Services, Foursquare, Microsoft, HERE Technologies, Google Cloud, Databricks, Oracle, Informatica, LiveRamp, ZoomInfo, Dun & Bradstreet, TransUnion, and Experian.

Key Developments:

In October 2025, Oracle announced the latest capabilities added to Oracle Database@AWS to better support mission-critical enterprise workloads in the cloud. In addition, customers can now procure Oracle Database@AWS through qualified AWS and Oracle channel partners. This gives customers the flexibility to procure Oracle Database@AWS through their trusted partners and continue to innovate, modernize, and solve complex business problems in the cloud.

In September 2025, HERE Technologies, the leading location data and technology platform is partnering with Radaro, a global leader in last-mile delivery management and logistics intelligence with over 10,000 daily users in 60+ countries, to extend Radaro's enterprise-grade routing, planning, and fleet optimisation capabilities.

Components Covered:

  • Platforms
  • Services
  • Tools & Solutions

Service Types Covered:

  • Batch Data Services
  • Real-time/Streaming Data Services
  • Data Discovery & Query Services
  • Data Analytics Services

Deployment Models Covered:

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

Organization Sizes Covered:

  • Large Enterprises
  • SMEs

Applications Covered:

  • Sales & Marketing Analytics
  • Business Intelligence & Reporting
  • Risk & Compliance Management
  • Customer Personalization
  • Supply Chain Optimization
  • Other Applications

End Users Covered:

  • BFSI
  • Retail & E-commerce
  • Energy & Utilities
  • Healthcare & Life Sciences
  • Transportation & Logistics
  • Telecommunications
  • Government & Public Sector
  • Manufacturing
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Data-as-a-Service (DaaS) Market, By Component

  • 5.1 Introduction
  • 5.2 Platforms
  • 5.3 Services
  • 5.4 Tools & Solutions

6 Global Data-as-a-Service (DaaS) Market, By Service Type

  • 6.1 Introduction
  • 6.2 Batch Data Services
  • 6.3 Real-time/Streaming Data Services
  • 6.4 Data Discovery & Query Services
  • 6.5 Data Analytics Services

7 Global Data-as-a-Service (DaaS) Market, By Deployment Model

  • 7.1 Introduction
  • 7.2 Public Cloud
  • 7.3 Private Cloud
  • 7.4 Hybrid Cloud

8 Global Data-as-a-Service (DaaS) Market, By Organization Size

  • 8.1 Introduction
  • 8.2 Large Enterprises
  • 8.3 SMEs

9 Global Data-as-a-Service (DaaS) Market, By Application

  • 9.1 Introduction
  • 9.2 Sales & Marketing Analytics
  • 9.3 Business Intelligence & Reporting
  • 9.4 Risk & Compliance Management
  • 9.5 Customer Personalization
  • 9.6 Supply Chain Optimization
  • 9.7 Other Applications

10 Global Data-as-a-Service (DaaS) Market, By End User

  • 10.1 Introduction
  • 10.2 BFSI
  • 10.3 Retail & E-commerce
  • 10.4 Energy & Utilities
  • 10.5 Healthcare & Life Sciences
  • 10.6 Transportation & Logistics
  • 10.7 Telecommunications
  • 10.8 Government & Public Sector
  • 10.9 Manufacturing
  • 10.10 Other End Users

11 Global Data-as-a-Service (DaaS) Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Snowflake
  • 13.2 Bright Data
  • 13.3 Amazon Web Services
  • 13.4 Foursquare
  • 13.5 Microsoft
  • 13.6 HERE Technologies
  • 13.7 Google Cloud
  • 13.8 Databricks
  • 13.9 Oracle
  • 13.10 Informatica
  • 13.11 LiveRamp
  • 13.12 ZoomInfo
  • 13.13 Dun & Bradstreet
  • 13.14 TransUnion
  • 13.15 Experian

List of Tables

  • Table 1 Global Data-as-a-Service (DaaS) Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Data-as-a-Service (DaaS) Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Data-as-a-Service (DaaS) Market Outlook, By Platforms (2024-2032) ($MN)
  • Table 4 Global Data-as-a-Service (DaaS) Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global Data-as-a-Service (DaaS) Market Outlook, By Tools & Solutions (2024-2032) ($MN)
  • Table 6 Global Data-as-a-Service (DaaS) Market Outlook, By Service Type (2024-2032) ($MN)
  • Table 7 Global Data-as-a-Service (DaaS) Market Outlook, By Batch Data Services (2024-2032) ($MN)
  • Table 8 Global Data-as-a-Service (DaaS) Market Outlook, By Real-time/Streaming Data Services (2024-2032) ($MN)
  • Table 9 Global Data-as-a-Service (DaaS) Market Outlook, By Data Discovery & Query Services (2024-2032) ($MN)
  • Table 10 Global Data-as-a-Service (DaaS) Market Outlook, By Data Analytics Services (2024-2032) ($MN)
  • Table 11 Global Data-as-a-Service (DaaS) Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 12 Global Data-as-a-Service (DaaS) Market Outlook, By Public Cloud (2024-2032) ($MN)
  • Table 13 Global Data-as-a-Service (DaaS) Market Outlook, By Private Cloud (2024-2032) ($MN)
  • Table 14 Global Data-as-a-Service (DaaS) Market Outlook, By Hybrid Cloud (2024-2032) ($MN)
  • Table 15 Global Data-as-a-Service (DaaS) Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 16 Global Data-as-a-Service (DaaS) Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 17 Global Data-as-a-Service (DaaS) Market Outlook, By SMEs (2024-2032) ($MN)
  • Table 18 Global Data-as-a-Service (DaaS) Market Outlook, By Application (2024-2032) ($MN)
  • Table 19 Global Data-as-a-Service (DaaS) Market Outlook, By Sales & Marketing Analytics (2024-2032) ($MN)
  • Table 20 Global Data-as-a-Service (DaaS) Market Outlook, By Business Intelligence & Reporting (2024-2032) ($MN)
  • Table 21 Global Data-as-a-Service (DaaS) Market Outlook, By Risk & Compliance Management (2024-2032) ($MN)
  • Table 22 Global Data-as-a-Service (DaaS) Market Outlook, By Customer Personalization (2024-2032) ($MN)
  • Table 23 Global Data-as-a-Service (DaaS) Market Outlook, By Supply Chain Optimization (2024-2032) ($MN)
  • Table 24 Global Data-as-a-Service (DaaS) Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 25 Global Data-as-a-Service (DaaS) Market Outlook, By End User (2024-2032) ($MN)
  • Table 26 Global Data-as-a-Service (DaaS) Market Outlook, By BFSI (2024-2032) ($MN)
  • Table 27 Global Data-as-a-Service (DaaS) Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 28 Global Data-as-a-Service (DaaS) Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 29 Global Data-as-a-Service (DaaS) Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 30 Global Data-as-a-Service (DaaS) Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
  • Table 31 Global Data-as-a-Service (DaaS) Market Outlook, By Telecommunications (2024-2032) ($MN)
  • Table 32 Global Data-as-a-Service (DaaS) Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 33 Global Data-as-a-Service (DaaS) Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 34 Global Data-as-a-Service (DaaS) Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.