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市場調查報告書
商品編碼
1494808
到 2030 年 BDaaS(巨量資料即服務)市場預測:按解決方案類型、部署模型、組織規模、最終用戶和區域進行的全球分析Big Data as a Service (BDaaS) Market Forecasts to 2030 - Global Analysis By Solution Type (Hadoop as a Service (HaaS), Data-as-a-Service (DaaS) and Data Analytics as a Service (DAaaS)), Deployment Model, Organization Size, End User and By Geography |
根據Stratistics MRC預測,2024年全球BDaaS(巨量資料即服務)市場規模將達到327億美元,預計到2030年將達到1265億美元,預測期內年複合成長率為25.3%。
BDaaS(巨量資料即服務)是一種雲端基礎的模型,為組織提供分析和管理大量資料所需的工具、基礎設施和專業知識。 BDaaS 平台提供一整套服務,包括資料儲存、處理、分析和視覺化,無需在硬體或軟體方面進行大量前期投資。透過利用雲端處理的可擴展性和靈活性,BDaaS 使企業能夠有效率地儲存和處理大量資料集、提取有價值的見解並做出資料主導的決策。這些平台通常結合機器學習和人工智慧等先進技術來最佳化資料處理和分析。
根據《富比士》2024年電子商務統計數據,不僅是零售,整個電子商務業務都在蓬勃發展。到 2027 年,所有零售額的 22.6% 將透過線上進行。亞馬遜、速賣通和 eBay 是每年最受歡迎的電子商務網站。
資料生成量增加
隨著企業和個人從社交媒體、物聯網設備、感測器和線上交易等各種來源產生前所未有的大量資料,對強大的資料管理和分析解決方案的需求呈指數級成長。 BDaaS 平台提供可擴展的基礎設施和先進的分析工具,以有效地儲存、處理大量資料集並從中獲取見解。隨著資料資料、速度和種類不斷增加,企業需要可擴展且靈活的解決方案來充分利用資料潛力,推動市場成長。
資料安全和隱私問題
隨著企業越來越依賴BDaaS平台來管理和分析大量敏感資料,確保這些資訊的安全性和隱私性變得至關重要。引人注目的資料外洩和隱私事件削弱了人們對 BDaaS 提供者的信任,並阻礙了對這些服務的採用。對未授權存取、資料外洩和個人資訊濫用的擔憂阻礙了 BDaaS 解決方案的發展,尤其是在醫療保健和金融等受監管行業。此外,GDPR 和 CCPA 等嚴格的資料保護條例對 BDaaS 提供者施加了法律和合規義務,增加了營運成本和複雜性,並阻礙了市場成長。
數位轉型
隨著企業採取數位轉型舉措來實現業務現代化並利用資料主導的見解,對 BDaaS 解決方案的需求正在顯著增加。進一步的數位轉型通常涉及將遺留系統和應用程式遷移到雲端。 BDaaS 供應商提供可擴展的雲端基礎的解決方案,促進無縫資料遷移、整合和管理,使組織能夠利用雲端運算的靈活性和敏捷性,並推動市場成長。
缺乏熟練勞動力
熟練的人員對於在 BDaaS 環境中維護強大的資料安全至關重要。需要資料安全專家來實施適當的存取控制、監控潛在威脅並確保遵守資料隱私法規。缺乏專業知識可能會引發安全問題,並使企業不願意將敏感資料委託給 BDaaS 供應商,從而阻礙巨量資料即服務(BDaaS) 市場的發展。
COVID-19 的影響
隨著遠距工作和數位轉型成為必然,企業越來越依賴資料分析來適應不斷變化的市場動態和消費行為。 BDaaS 平台提供可擴展且靈活的資料管理和分析功能,使組織能夠從大型資料集獲取見解,即使員工隊伍分散。此外,疫情凸顯了敏捷性和彈性的重要性,促使企業投資 BDaaS 等基於雲端基礎的解決方案,以快速擴展業務並應對不斷變化的挑戰。因此,疫情刺激了 BDaaS 市場的成長,因為企業優先考慮資料主導的決策和數位創新。
Hadoop 即服務 (HaaS) 預計將在預測期內成為最大的細分市場
Hadoop 即服務 (HaaS) 領域預計將在預測期內成為最大的領域。 Hadoop作為分散式資料處理的開放原始碼框架,已成為巨量資料技術的基石。 HaaS 為企業提供雲端基礎的管理解決方案,用於部署和操作 Hadoop 集群,從而無需本地基礎設施和 IT 資源。 HaaS 和 BDaaS 平台的整合使巨量資料解決方案更具可擴展性、靈活性和成本效益。透過利用 Hadoop 的分散式運算功能,BDaaS 供應商可以為其客戶提供更強大、更有效率的資料處理、儲存和分析服務。
零售和消費品領域預計在預測期內年複合成長率最高。
零售和消費品領域預計在預測期內年複合成長率最高。零售和消費品公司處於利用巨量資料和分析來獲得競爭優勢的前沿。這些行業產生並收集大量客戶資料,包括購買歷史記錄、瀏覽行為和人口統計資訊。透過利用 BDaaS 平台,這些公司可以有效地管理、分析這些資料並從中獲取見解,以增強決策、最佳化業務並為客戶提供個人化體驗。
預計北美將在預測期內佔據最大的市場佔有率,因為完善的技術生態系統、強大的基礎設施和先進分析工具的普及將促進北美 BDaaS 市場的快速成長。包括醫療保健、金融和電子商務在內的各個行業的公司擴大採用 BDaaS 來簡化其資料處理和存儲需求,利用基於雲端基礎的平台提供的可擴展性和成本效率,這支持了市場成長。
由於擴大採用雲端基礎的資料管理解決方案以及對資料主導決策的需求不斷成長,預計亞太地區在預測期內將保持最高的年複合成長率。 BDaaS 平台使組織能夠存取和利用大型複雜資料集,而無需對基礎架構或 IT 資源進行大量投資。此外,由於亞太地區數位格局的快速擴張以及對資料主導計劃的日益重視,亞太地區正在成為 BDaaS 的主要市場。
According to Stratistics MRC, the Global Big Data as a Service (BDaaS) Market is accounted for $32.7 billion in 2024 and is expected to reach $126.5 billion by 2030 growing at a CAGR of 25.3% during the forecast period. Big Data as a Service (BDaaS) is a cloud-based model that provides organizations with access to the tools, infrastructure, and expertise needed to analyze and manage large volumes of data. BDaaS platforms offer a comprehensive suite of services, including data storage, processing, analytics, and visualization, without the need for significant upfront investment in hardware or software. By leveraging the scalability and flexibility of cloud computing, BDaaS enables businesses to efficiently store and process massive datasets, extract valuable insights, and make data-driven decisions. These platforms often incorporate advanced technologies such as machine learning and artificial intelligence to optimize data processing and analysis.
According to Forbes E-Commerce Statistics 2024, the overall e-commerce business is flourishing, and not only retail sales. By 2027, 22.6% of all retail sales would be directed online. Amazon, AliExpress, and eBay are the most popular e-commerce websites annually.
Increasing amount of data generation
As businesses and individuals generate unprecedented volumes of data from various sources such as social media, IoT devices, sensors, and online transactions, the demand for robust data management and analytics solutions rises exponentially. BDaaS platforms offer scalable infrastructure and advanced analytics tools to efficiently store, process, and derive insights from massive datasets. As the volume, velocity, and variety of data continue to grow, businesses require scalable and flexible solutions to harness the full potential of their data driving the growth of the market.
Data security and privacy concerns
As organizations increasingly rely on BDaaS platforms to manage and analyze large volumes of sensitive data, ensuring the security and privacy of this information becomes paramount. High-profile data breaches and privacy incidents undermine confidence in BDaaS providers, leading to hesitancy in adopting these services. Concerns about unauthorized access, data leaks, and misuse of personal information can deter organizations from leveraging BDaaS solutions, especially in regulated industries such as healthcare and finance. Moreover, stringent data protection regulations, such as the GDPR and CCPA, impose legal and compliance obligations on BDaaS providers, increasing operational costs and complexity hampering the markets growth.
Digital transformation
As businesses undergo digital transformation initiatives to modernize their operations and harness the power of data-driven insights, the demand for BDaaS solutions escalates significantly. Further digital transformation often involves migrating legacy systems and applications to the cloud. BDaaS providers offer scalable cloud-based solutions that facilitate seamless data migration, integration, and management, empowering organizations to leverage the flexibility and agility of cloud computing propelling the growth of the market.
Lack of skilled workforce
A skilled workforce is essential for maintaining robust data security in the BDaaS environment. Data security professionals are needed to implement proper access controls, monitor for potential threats, and ensure compliance with data privacy regulations. A lack of such expertise can heighten security concerns and discourage businesses from trusting BDaaS providers with their sensitive data hindering the big data as a service (BDaaS) market.
Covid-19 Impact
The remote work and digital transformation becoming imperative, businesses increasingly rely on data analytics to adapt to changing market dynamics and consumer behaviors. BDaaS platforms offer scalable and flexible data management and analytics capabilities, empowering organizations to derive insights from large datasets despite dispersed workforces. Additionally, the pandemic highlighted the importance of agility and resilience, prompting businesses to invest in cloud-based solutions like BDaaS to quickly scale their operations and respond to evolving challenges. Consequently, the pandemic has fueled growth in the BDaaS market as businesses prioritize data-driven decision-making and digital innovation.
The hadoop as a service (HaaS) segment is expected to be the largest during the forecast period
The hadoop as a service (HaaS) is expected to be the largest during the forecast period. Hadoop, an open-source framework for distributed data processing, has become a cornerstone of big data technology. HaaS offerings provide organizations with a cloud-based, managed solution for deploying and operating Hadoop clusters, eliminating the need for on-premises infrastructure and IT resources. The integration of HaaS with BDaaS platforms has enhanced the scalability, flexibility, and cost-effectiveness of big data solutions. By leveraging the power of Hadoop's distributed computing capabilities, BDaaS providers can offer more robust and efficient data processing, storage, and analytics services to their customers.
The retail & consumer goods segment is expected to have the highest CAGR during the forecast period
The retail & consumer goods segment is expected to have the highest CAGR during the forecast period as retailers and consumer goods companies have been at the forefront of leveraging big data and analytics to gain a competitive edge. These industries generate and collect vast amounts of customer data, including purchase history, browsing behavior, and demographic information. By utilizing BDaaS platforms, these organizations can effectively manage, analyze, and derive insights from this data to enhance their decision-making, optimize their operations, and deliver personalized experiences to their customers.
North America is projected to hold the largest market share during the forecast period due to the region's well-established tech ecosystem, robust infrastructure, and the widespread availability of advanced analytics tools have contributed to the rapid growth of the BDaaS market in North America. Enterprises across various industries, including healthcare, finance, and e-commerce, have increasingly embraced BDaaS to streamline their data processing and storage needs, while leveraging the scalability and cost-efficiency offered by cloud-based platforms boosting the regions market growth.
Asia Pacific is projected to hold the highest CAGR over the forecast period owing to the increasing adoption of cloud-based data management solutions and the growing demand for data-driven decision-making. BDaaS platforms provide organizations with the ability to access and leverage large, complex datasets without the need for substantial investments in infrastructure and IT resources. Furthermore, the Asia Pacific region, with its rapidly expanding digital landscape and rising emphasis on data-driven initiatives, has emerged as a key market for BDaaS.
Key players in the market
Some of the key players in Big Data as a Service (BDaaS) market include Accenture PLC, Alteryx Ltd, Amazon Web Services Inc., CenturyLink, GoodData, Google LLC, Guavus Inc., Hewlett-Packard Company, Hitachi Vantara, IBM Corporation, Information Builders Inc., Microsoft Corporation, Opera Solutions LLC, Oracle Corporation, Qubole, SAP SE, SAS Institute Inc., Snowflake Inc, Splink and Wipro Ltd
In May 2024, Accenture has completed the acquisition of Customer Management IT and SirfinPA, a pair of jointly-owned Italian consultancies that operate in close synergy and offer innovative services and technology solutions in the justice and public safety sectors.
In May 2024, Accenture has acquired Teamexpat, an embedded software specialist for complex high-tech products and systems, headquartered in Eindhoven, the Netherlands. These systems use ultraviolet light to print the fine patterns on semiconductor materials that define the performance of microchips.
In May 2024, Amazon QuickSight launches multi column sorting for Tables. They can add, remove, reorder and reset sort on a table. Readers can also perform multi column sort using hidden and off visual field as defined by the author or opt for single column sort from column header context menu as well.