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市場調查報告書
商品編碼
1880508
資料即服務(DaaS) 市場預測至 2032 年:按組件、服務類型、部署模式、組織規模、應用程式、最終用戶和地區分類的全球分析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 |
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根據 Stratistics MRC 的一項研究,預計到 2025 年,全球資料即服務(DaaS) 市場規模將達到 456 億美元,到 2032 年將達到 2638.4 億美元,預測期內複合年成長率為 28.5%。
資料即服務(DaaS) 是一種基於雲端的方法,它透過 API 和線上介面按需向使用者和系統交付資料。這使得企業無需處理繁重的後端系統,即可取得、組織和使用可靠、最新的資訊。借助雲端基礎的儲存和交付,DaaS 可降低基礎設施成本、提高資料可用性並增強分析能力。此模式確保了擴充性、易於整合和無縫的資料交付,使組織能夠利用一致的高品質數據來提升營運績效和策略決策水準。
根據聯想2022年的一項調查,82%的IT領導者希望科技能支持職場的新價值觀。
成本效益和營運支出模型
企業正加速訂閱式資訊服務,以避免前期基礎設施投資。這種營運成本模式可根據業務需求和即時工作負載靈活擴展。雲端原生資料交付有助於最佳化儲存、處理和整合,而無需維護複雜的系統。對於面臨資料量不斷成長的企業而言,資料即服務 (DaaS) 平台提供了比傳統本地部署解決方案更經濟的選擇。對財務靈活性和資源最佳化的日益關注正在推動市場擴張。
資料安全和隱私問題
由於有資料外洩風險,各組織機構對將敏感資訊遷移到外部平台持謹慎態度。各地區嚴格的資料保護條例也使全球企業的合規工作更加複雜。對未授權存取和加密方法不一致的擔憂進一步限制了廣泛信任的建立。醫療保健和金融等行業實施的嚴格隱私標準正在減緩向雲端基礎資訊服務的轉型。這些持續存在的風險是限制市場成長的主要阻礙因素。
高級分析服務
企業越來越依賴即時洞察來支援決策和預測建模。配備人工智慧、機器學習和巨量資料分析功能的DaaS平台正在改變企業利用資訊的方式。整合的分析工具使用戶能夠以最小的技術負擔從複雜的資料集中提取有意義的模式。企業正在採用分析主導的DaaS解決方案來加速數位轉型並提升營運智慧。這種對數據增強型策略日益成長的關注,代表著市場的關鍵成長方向。
對網路連線的依賴
網路連線中斷會阻礙資料存取,影響業務永續營運。位於偏遠地區或基礎設施薄弱地區的企業面臨網路可用性不穩定的問題。延遲問題會導致資料擷取、同步和即時分析工作流程出現延誤。雲端存取中斷會增加資料密集型企業的營運風險。這種對網路可靠性的依賴持續對市場表現構成重大威脅。
疫情加速了數位轉型,並促使更多企業採用雲端基礎的資料交付模式。許多組織採用資料即服務(DaaS) 來支援遠端營運和分散式辦公室。封鎖措施凸顯了各行業對集中式、易於存取且擴充性的數據平台的需求。然而,IT 預算的削減暫時減緩了部分產業對 DaaS 的投資。疫情後的復甦階段,企業更加重視自動化、彈性以及雲端原生資料整合。隨著企業將長期數位連續性置於優先地位,DaaS 正成為推動現代化轉型的重要動力。
預計在預測期內,平台細分市場將佔據最大的市場佔有率。
由於對整合資料交付環境的需求不斷成長,預計平台細分市場將在預測期內佔據最大的市場佔有率。這些平台透過單一統一的介面簡化了資料擷取、處理和交付流程。企業之所以青睞基於平台的服務,是因為它們擴充性,能夠支援各種應用,並且易於部署。與分析工具和企業系統的互通性不斷增強,也進一步推動了平台解決方案的普及。隨著企業對其資料架構進行現代化改造,以平台為中心的解決方案正成為建構基礎架構的重要模組。
預計在預測期內,醫療保健和生命科學領域將實現最高的複合年成長率。
由於醫療保健和生命科學行業高度依賴即時數據,預計該行業在預測期內將實現最高成長率。電子健康記錄、臨床分析和個人化醫療的日益普及正在推動數據即服務 (DaaS) 的需求。醫院和研究機構正在利用雲端基礎資訊服務來改善診斷和病患管理。基因組數據、影像數據和穿戴式健康數據的整合進一步加速了雲端洞察的產生。
由於新興經濟體對雲端運算的快速採用,預計亞太地區在預測期內將保持最大的市場佔有率。中國、印度和日本等國家正大力投資數位基礎設施和數據驅動技術。該地區的企業正在增加對數據即服務 (DaaS) 的使用,以支援大規模現代化舉措。政府為促進數位生態系統而推出的計劃正在加速雲端基礎的數據整合。電子商務、金融科技和智慧製造的興起正在推動該地區的數據需求成長。
預計在預測期內,北美將實現最高的複合年成長率,這主要得益於其強大的技術基礎。美國和加拿大的企業率先採用者人工智慧驅動的分析、雲端平台和第三方資訊服務。資料管治框架的進步正推動企業擴大其雲端基礎資料規模。研發和企業數位化的巨額投資持續加速資料即服務(DaaS) 的普及。此外,該地區成熟的專業資訊服務提供者生態系統也為其發展提供了有力支撐。
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.
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.
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.
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.
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.
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.
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.
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.
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.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.