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Augmented Analytics Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The augmented analytics market size has witnessed exponential growth in recent years. It is projected to increase from $16.4 billion in 2025 to $20.52 billion in 2026, achieving a compound annual growth rate (CAGR) of 25.1%. The expansion observed historically stems from elements like the increase in enterprise data volumes, the rising acceptance of business intelligence platforms, a heightened need for faster decision-making, the proliferation of cloud data warehouses, and advancements in data visualization tools.
The augmented analytics market is projected for substantial expansion in the coming years. It is anticipated to reach $50.52 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 25.3%. This growth during the forecast period is fueled by factors such as growing investments in AI-driven analytics platforms, an increasing demand for democratized data access, the expansion of real-time analytics applications, a heightened focus on data literacy across organizations, and increasing integration of analytics with enterprise applications. Furthermore, key trends expected over the forecast period encompass the rising adoption of natural language query analytics, a growing use of automated insight generation tools, expanding integration of machine learning in BI platforms, the proliferation of self-service analytics solutions, and an enhanced focus on explainable AI.
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Augmented Analytics Market Opportunity Drivers: What Is Creating New Revenue Potential?
The future expansion of the augmented analytics market is anticipated due to the increasing adoption of digital transformation across various sectors. Digital transformation involves implementing digital technologies to bring about substantial alterations in organizational operations, business models, and societal roles, thereby enhancing efficiency, effectiveness, and competitive edge. This rise in digital transformation produces vast amounts of data, which augmented analytics utilizes through artificial intelligence (AI) and machine learning to provide automated data preparation, create insights, and enable natural language processing functionalities. Consequently, augmented analytics empowers businesses to make well-informed choices, recognize emerging trends, and derive crucial insights from their datasets. An illustrative example comes from March 2025, where the Digital Transformation Agency (DTA), an Australia-based government department, reported 110 significant digital projects spread across 46 agencies. These projects had a combined budget of $12.9 billion, with $5.6 billion specifically allocated for digital initiatives, and achieved delivery confidence ratings of 98.4% and 80.3%. These figures represent a notable increase compared to 52.1% and 31.3% recorded in 2024. Thus, the increasing prevalence of digital transformation is a key driver for the expansion of the augmented analytics market.
Augmented Analytics Market Segments: Where Are The Largest Growth Opportunities?
The augmented analytics market covered in this report is segmented –
1) By Component: Software, Services
2) By Deployment Type: On-Premises, Cloud
3) By Services: Training And Consulting, Deployment And Integration, Support And Maintenance
4) By Organization Size: Large Enterprises, Small And Medium-Sized Enterprises (SMEs)
Subsegments:
1) By Software: Data Preparation Tools, Business Intelligence (BI) Tools, Analytics And Visualization Tools, Natural Language Processing (NLP) Tools, Machine Learning Platforms
2) By Services: Consulting Services, Implementation Services, Training And Support Services, Managed Services
#Augmented Analytics Market Trends Influencing Long-Term Demand
Major companies operating in the augmented analytics market are dedicating efforts to developing advanced solutions, such as AI-powered self-service BI platforms, aiming to enhance data-driven decision-making, improve the generation of insights, and streamline analytics workflows. AI-powered self-service BI signifies a technological method in augmented analytics that employs artificial intelligence to automate data preparation, generate insights, and support predictive analytics, thereby assisting businesses in prioritizing high-impact decisions. For instance, in September 2024, Zoho Corporation, an India-based active technology company, unveiled an AI-rich, highly extensible version of its self-service BI platform, Zoho Analytics, which includes generative-AI capabilities, a custom ML model studio, OpenAI integration, and a unified metrics layer. This solution is crafted to aid business users and analysts with improved analytics efficiency and the creation of actionable insights, facilitating automated data processing, advanced visualization, and predictive modeling to support decision-making across all organizational functions.
Augmented Analytics Market Major Participants And Competitive Dynamics
Major companies operating in the augmented analytics market are Salesforce, Inc.; SAP SE; The International Business Machines Corporation; Microsoft Corporation; Oracle Corporation; Tableau Software; MicroStrategy Incorporated; SAS Institute Inc.; QlikTech International AB; TIBCO Software India Pvt. Ltd; Sisense Ltd.; Cloud Software Group, Inc.; Yellowfin; ThoughtSpot Inc.; Domo, Inc.; Alation, Inc.; Tamr; Paxata; Attivio; Arcadia Solutions, LLC; Squirro AG; GoodData Corporation; Looker Data Sciences, Inc.; Alteryx; Board International S. A; Logi Analytics, Inc.; Pyramid Analytics; Birst, Inc.; Datorama; Panorama Software Ltd.; DataRobot, Inc.; RapidMiner, Inc.; BIME Analytics
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Augmented Analytics Market Regional Analysis: Which Region Leads By Revenue?
North America was the largest region in the augmented analytics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the augmented analytics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.