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시장보고서
상품코드
1663860
AaaS(Analytics as a Service) 시장 규모, 점유율, 성장 분석 : 구성요소별, 분석 유형별, 기업 유형별, 전개 방식별, 최종 이용 산업별, 지역별 - 산업 예측(2025-2032년)Analytics as a Service Market Size, Share, and Growth Analysis, By Component (Solution, Services), By Analytics Type (Predictive, Diagnostic), By Enterprise Type, By Deployment Type, By End Use Industry, By Region - Industry Forecast 2025-2032 |
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AaaS(Analytics as a Service) 시장 규모는 2023년에 112억 달러로 평가되며, 예측 기간(2025-2032년) 동안 21.3%의 CAGR로 2024년 135억 9,000만 달러에서 2032년 636억 7,000만 달러로 성장할 것으로 예상됩니다.
AaaS(Analytics as a Service) 시장은 데이터 분석 역량을 강화하고자 하는 기업들의 수요 증가로 인해 크게 성장하고 있습니다. 기업들은 영업에서 공급망 관리까지 모든 업무 최적화를 위해 데이터 기반 의사결정을 점점 더 우선시하고 있으며, 이에 따라 강력한 분석 솔루션의 필요성이 더욱 중요해지고 있습니다. 이러한 추세는 클라우드 기반 기술의 도입으로 다양한 부서에 걸친 데이터의 중앙 집중화가 촉진되면서 더욱 가속화되고 있습니다. 특히 E-Commerce 및 소매업과 같은 분야에서는 수요 파악을 위한 분석 툴을 활용하여 소비자 행동과 공급망에 미치는 영향에 대한 이해도를 높이고 있습니다. 또한, RFID 기술의 통합이 AaaS의 수요를 가속화하고 있으며, 에너지 소비 예측, 시장 동향 분석 등 다양한 용도로 지속적인 확대가 예상됩니다.
Analytics as a Service Market size was valued at USD 11.2 billion in 2023 and is poised to grow from USD 13.59 billion in 2024 to USD 63.67 billion by 2032, growing at a CAGR of 21.3% during the forecast period (2025-2032).
The Analytics as a Service (AaaS) market is witnessing significant growth, driven by a rising demand from organizations seeking to enhance their data analysis capabilities. As enterprises increasingly prioritize data-driven decision-making to optimize operations-ranging from sales to supply chain management-the need for robust analytical solutions becomes pivotal. This trend is further fueled by the adoption of cloud-based technologies, facilitating data centralization across various departments. Notably, sectors like e-commerce and retail are increasingly leveraging analytical tools for demand sensing, enhancing their understanding of consumer behavior and its implications on the supply chain. Additionally, the integration of RFID technology has accelerated the demand for AaaS, which is poised for continued expansion across diverse applications, including energy consumption predictions and market trend analysis.
Top-down and bottom-up approaches were used to estimate and validate the size of the Analytics 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.
Analytics As A Service Market Segments Analysis
Global Analytics as a Service Market is segmented by Component, Analytics Type, Enterprise Type, Deployment Type, End Use Industry and region. Based on Component, the market is segmented into Solution and Services. Based on Analytics Type, the market is segmented into Predictive, Diagnostic, Descriptive and Prescriptive. Based on Enterprise Type, the market is segmented into Large Enterprises and Small & Medium Enterprises. Based on Deployment Type, the market is segmented into Private Cloud, Public Cloud and Hybrid Cloud. Based on End Use Industry, the market is segmented into BFSI, IT & Telecommunication, Retail & E-commerce, Manufacturing, Transportation & Logistics, Government & Public Sector and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Analytics As A Service Market
The rise of social media platforms and cutting-edge technology significantly influences the Analytics As A Service market. Platforms like Facebook, Twitter, Instagram, and YouTube produce an enormous volume of data every second, allowing brands to monitor their consumer journeys closely. By leveraging insights from Facebook analytics and similar tools, businesses can identify effective strategies to connect with their audiences more efficiently. This extensive data generation not only enhances understanding of consumer behavior but also propels the demand for analytics services, highlighting the crucial role of social media in shaping the landscape of data-driven decision-making and enhancing marketing effectiveness.
Restraints in the Analytics As A Service Market
Rising apprehensions regarding the privacy and security of sensitive information, exacerbated by increasing data breaches and cyberattacks, are leading organizations to exercise greater caution when it comes to sharing their data with third-party analytics as a service providers. This trend poses a significant challenge to the growth of the Analytics as a Service market. In response to these security apprehensions, many providers are taking proactive measures by implementing advanced encryption methods to safeguard data, thus striving to alleviate concerns and regain the trust of potential clients. Addressing these issues remains critical for the sustained expansion of this market segment.
Market Trends of the Analytics As A Service Market
The Analytics as a Service (AaaS) market is experiencing significant growth driven by the rising adoption of cloud-based technological solutions across diverse industries. Businesses increasingly leverage these scalable and flexible analytics solutions to manage fluctuating workloads and large datasets efficiently, enabling data-driven decision-making without heavy upfront investments in infrastructure. This trend reflects a broader shift towards digital transformation, as companies prioritize agility and innovation. The accessibility and cost-effectiveness of AaaS allow organizations of all sizes to harness advanced analytics capabilities, further propelling market expansion and solidifying cloud services as a cornerstone of modern business strategy in a data-centric world.