Press release
2025-2034 Analytics As A Service Market Evolution: Disruptions, Innovations, and Untapped Opportunities
Use code ONLINE20 to get 20% off on global market reports and stay ahead of tariff changes, macro trends, and global economic shifts.What Is the Expected CAGR for the Analytics As A Service Market Through 2025?
The overall valuation of the analytics as a service sector has seen rapid expansion lately; projected figures indicate a climb from a value of $13.69 billion recorded in 2024 to an estimated $17.57 billion by 2025, reflecting a robust compound annual growth rate calculated at 28.3%. This significant expansion observed during the preceding years stems from several key factors, including a heightened requirement for decisions substantiated by data, the escalating uptake of services hosted in the cloud, the acceleration of ongoing digital transformation projects, the burgeoning necessity for adherence to various regulations and compliance standards, and the sheer increase in the volume of data generated via social media platforms.
What's the Projected Size of the Global Analytics As A Service Market by 2029?
The market for analytics as a service is poised for rapid expansion over the coming years, projected to reach a valuation of $47.27 billion by 2029, propelled by a compound annual growth rate (CAGR) of 27.9%. This substantial upswing during the projection timeframe stems from several key factors, including the increasing necessity for immediate, real-time analytical capabilities spanning various sectors, a notable increase in demand originating from small and medium-sized businesses, greater corporate focus on enhancing risk mitigation and identifying fraudulent activities, heightened customer demands for highly tailored interactions, and the proliferation of specialized applications designed for particular industries. Significant currents shaping this market during this period involve progressive evolution in artificial intelligence and machine learning technologies, novel developments within platforms supporting self-service analytics, progress in deploying hybrid and multi-cloud infrastructures, forward movement in augmented analytics features designed to yield automated understandings, and ongoing capital allocation towards research and development efforts aimed at crafting industry-specific solutions.
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Top Growth Drivers in the Analytics As A Service Industry: What's Accelerating the Market?
The burgeoning volume of data created across diverse industries is anticipated to significantly boost the expansion of the analytics as a service market in the future. This data creation process involves the production of digital information via instruments, software, and frameworks operating within various fields. A key factor fueling this surge is the swift proliferation of interconnected devices, most notably the Internet of Things (IoT), which constantly yields enormous streams of immediate data across business environments. Analytics as a service actively supports this data inflow by furnishing adaptable, cloud-hosted instruments designed for the perpetual gathering, refining, and examination of information, thereby converting unrefined inputs into valuable, actionable understandings and empowering entities to discern trends, forecast future movements, and execute decisions based on facts with greater effectiveness. To illustrate this scale, a report from Edge Delta, a US software entity, indicated in March 2024 that the worldwide data output in 2023 reached an approximate total of 120 zettabytes (ZB), translating to an average daily figure near 337,080 petabytes (PB). Furthermore, with 5.35 billion individuals connected to the internet globally, it is estimated that each of these users contributes approximately 15.87 terabytes (TB) of data daily. Consequently, this escalating tide of sector-wide data generation acts as a primary catalyst for the rising requirement for analytics as a service solutions.
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What Trends Will Shape the Analytics As A Service Market Through 2029 and Beyond?
Leading firms within the analytics-as-a-service sector are currently prioritizing the implementation of cutting-edge methodologies, notably AI enhanced customer profiling, with the objective of fueling tailored promotional efforts, boosting customer interaction, and facilitating choices grounded in empirical data. This AI-driven analysis of customer specifics involves employing artificial intelligence systems to autonomously categorize and build profiles for consumers based on factors like their demonstrated actions, general characteristics, and stated likes, thereby furnishing enterprises with deeper customer comprehension, predictive capabilities, customized marketing tools, and enhanced product or service planning. Exemplifying this trend, in September of 2024, the Japanese technology and e-commerce giant Rakuten Group Inc. introduced Rakuten Analytics, an AaaS offering intended to equip organizations with the capacity to utilize data-derived intelligence for making pivotal strategic choices. This new offering harnesses Rakuten's substantial CustomerDNA repository, which employs AI to sort user demographic, lifestyle, and behavioral metrics into more than 4,000 distinct characteristics, consequently producing elaborate customer representations. Subscribers from the corporate sector are afforded the means to integrate their proprietary datasets with Rakuten's accumulated statistical knowledge, achieving a comprehensive, multi-faceted grasp of how customers behave, what they prefer, and their purchasing habits, spanning both digital and physical points of sale. The intelligence gleaned through this platform empowers organizations to refine their promotional activities, sharpen the focus of their advertising placements, strengthen their customer relationship management protocols, guide the creation of new offerings, and ultimately elevate the overall worth of each customer relationship over time.
What Are the Main Segments in the Analytics As A Service Market?
The analytics as a servicemarket covered in this report is segmented -
1) By Component: Solution, Services
2) By Deployment Mode: Public Cloud, Private Cloud, Hybrid Cloud
3) By Enterprise Type: Small Size Enterprise, Medium Size Enterprise, Large Size Enterprise
4) By Vertical: Banking, Financial Services, And Insurance (BFSI), Telecommunication, Retail And Consumer Good, Healthcare And Life Sciences, Government And Defense, Automotive, Education, Manufacturing, Transportation And Logistics, Other Verticals
Subsegments:
1) By Solution: Data Analytics Platforms, Business Intelligence Solutions, Predictive Analytics Solutions, Big Data Analytics Solutions
2) By Services: Implementation Services, Consulting Services, Managed Analytics Services, Training And Support Services
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Which Top Companies are Driving Growth in the Analytics As A Service Market?
Major companies operating in the analytics as a service market are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, Dell Technologies Inc., Hitachi Ltd., International Business Machines Corporation, Oracle Corporation, Salesforce Inc., SAP SE, Hewlett Packard Enterprise Company, Atos SE, SAS Institute Inc., Databricks Inc., Snowflake Inc., Zoho Corporation Pvt. Ltd., ThoughtSpot Inc., Domo Inc., ScienceSoft Corporation, Sisense Ltd., GoodData Corporation.
Which Regions Will Dominate the Analytics As A Service Market Through 2029?
North America was the largest region in the analytics as a service market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the analytics-as-a-service market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Learning Objective
• To provide detailed analysis of the market structure along with forecast for the next 10 years of the various segments and sub-segments of the global Analytics as a service Market.
• To provide insights about factors affecting the market growth.
• To Analyze the Analytics as a service Market based on various factors- porters five force analysis, mega trend analysis, macroeconomic indicators etc.
• To provide historical and forecast revenue of the…
