BDaaS(Big Data as a Service) 시장 규모, 점유율, 성장 분석 : 구성요소별, 조직 규모별, 전개 방식별, 업계별, 지역별 - 산업 예측(2025-2032년)
Big data as a service Market Size, Share, and Growth Analysis, By Component, By Organization Size, By Deployment Type, By Industry Vertical, By Region - Industry Forecast 2025-2032
상품코드 : 1665982
리서치사 : SkyQuest
발행일 : 2025년 02월
페이지 정보 : 영문 161 Pages
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한글목차

BDaaS(Big Data as a Service) 시장 규모는 2023년 282억 달러로 평가되며, 예측 기간(2025-2032년) 동안 23.2%의 CAGR로 2024년 347억 4,000만 달러에서 2032년 1,843억 9,000만 달러로 성장할 것으로 예상됩니다.

전 세계 BDaaS(Big Data as a Service) 시장은 데이터 인사이트의 가치를 인식하는 다양한 산업의 수요 증가에 힘입어 빠르게 변화하고 있습니다. 주목할 만한 트렌드는 기존 온프레미스형 시스템에 비해 유연성, 확장성, 비용 효율성이 향상된 클라우드형 BDaaS 솔루션으로의 전환입니다. 이를 통해 기업은 최적화된 데이터 관리를 통해 업무 효율성과 민첩성을 향상시킬 수 있습니다. 또한, BDaaS 솔루션에 머신러닝(ML)과 인공지능(AI)을 통합하는 것이 확산되고 있으며, 기업은 고급 분석을 활용하여 데이터 기반 의사결정을 신속하게 내릴 수 있게 되었습니다. 그러나 기업이 보다 민감한 데이터를 수집함에 따라 프라이버시 및 보안에 대한 우려도 BDaaS의 상황을 형성하고 있으며, 제공업체는 침해로부터 보호하기 위해 보안 조치를 강화해야 합니다.

목차

소개

조사 방법

주요 요약

시장 역학과 전망

주요 시장 인사이트

BDaaS(Big Data as a Service) 시장 규모 : 구성요소별 & CAGR(2025-2032년)

BDaaS(Big Data as a Service) 시장 규모 : 조직 규모별 & CAGR(2025-2032년)

BDaaS(Big Data as a Service) 시장 규모 : 전개 방식별 & CAGR(2025-2032년)

BDaaS(Big Data as a Service) 시장 규모 : 업계별 & CAGR(2025-2032년)

BDaaS(Big Data as a Service) 시장 규모 : 지역별 & CAGR(2025-2032년)

경쟁 정보

주요 기업 개요

결론과 제안

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영문 목차

영문목차

Big data as a service Market size was valued at USD 28.2 billion in 2023 and is poised to grow from USD 34.74 billion in 2024 to USD 184.39 billion by 2032, growing at a CAGR of 23.2% during the forecast period (2025-2032).

The global big data as a service (BDaaS) market is experiencing rapid transformation, driven by increasing demand from various industries recognizing the value of data insights. A notable trend is the shift towards cloud-hosted BDaaS solutions, which offer enhanced flexibility, scalability, and cost efficiency compared to traditional on-premises systems. This transition enables organizations to improve operational efficiency and agility through optimized data management. Furthermore, the integration of machine learning (ML) and artificial intelligence (AI) within BDaaS solutions is becoming more prevalent, empowering businesses to leverage advanced analytics for quicker, data-driven decision-making. However, as businesses collect more sensitive data, concerns regarding privacy and security are also shaping the BDaaS landscape, prompting providers to strengthen their security measures to protect against breaches.

Top-down and bottom-up approaches were used to estimate and validate the size of the Big Data As A Service market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Big Data As A Service Market Segments Analysis

Global Big data as a service Market is segmented by Component, Organization Size, Deployment Type, Industry Vertical and region. Based on Component, the market is segmented into Solutions and Services. Based on Organization Size, the market is segmented into Large Enterprises and Small and Medium-Sized Enterprises. Based on Deployment Type, the market is segmented into Public Cloud, Hybrid Cloud and Private Cloud. Based on Industry Vertical, the market is segmented into BFSI, IT and Telecom, Healthcare and Life Sciences, Ecommerce and Retail, Manufacturing, Media and Entertainment and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Big Data As A Service Market

A significant force propelling the global Big Data as a Service (BDaaS) market is the unprecedented surge in data generated across various sectors, fueled by the proliferation of IoT devices, digital transactions, and social media activities. This influx of information drives a heightened demand for BDaaS solutions, as businesses increasingly require scalable and efficient tools to process and analyze massive datasets. As organizations recognize the necessity of harnessing this data for informed decision-making and strategic initiatives, the need for sophisticated BDaaS offerings becomes imperative, highlighting the market's potential for growth and innovation in response to evolving data needs.

Restraints in the Big Data As A Service Market

The global Big Data as a Service market faces significant challenges primarily related to data security and privacy. As businesses increasingly migrate to cloud-based solutions, concerns regarding security breaches, unauthorized data access, and adherence to data protection regulations like GDPR have emerged. These issues pose substantial obstacles for organizations looking to effectively implement this technology, ultimately hindering the growth potential of the Big Data as a Service market. The implications of these security concerns may discourage businesses from fully embracing the benefits of this innovative service, thereby restricting overall market advancement.

Market Trends of the Big Data As A Service Market

The Big Data as a Service (BDaaS) market is witnessing a significant trend towards the integration of artificial intelligence (AI) and machine learning (ML) technologies. Businesses across various sectors are increasingly adopting these solutions for their ability to facilitate real-time analysis, predictive insights, and automation capabilities. The convergence of BDaaS with AI and ML not only streamlines data processing but also enhances decision-making and operational efficiency. This trend is driven by the need for organizations to leverage large volumes of data to stay competitive, resulting in a surge of investments in BDaaS solutions that promise substantial returns through enhanced analytical capabilities and strategic insights.

Table of Contents

Introduction

Research Methodology

Executive Summary

Market Dynamics & Outlook

Key Market Insights

Global Big data as a service Market Size by Component & CAGR (2025-2032)

Global Big data as a service Market Size by Organization Size & CAGR (2025-2032)

Global Big data as a service Market Size by Deployment Type & CAGR (2025-2032)

Global Big data as a service Market Size by Industry Vertical & CAGR (2025-2032)

Global Big data as a service Market Size & CAGR (2025-2032)

Competitive Intelligence

Key Company Profiles

Conclusion & Recommendations

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