Augmented Analytics Global Market Report 2026

Augmented analytics involves the application of technologies like AI and machine learning to enhance human curiosity and streamline the preparation, analysis, and visualization of data for business users. This approach allows users to discover insights more rapidly by interacting with their data, while algorithms suggest contextually relevant insights. Augmented analytics plays a crucial role in automating the development, management, and deployment of data science, machine learning, and artificial intelligence models, augmenting the capabilities of experts and data scientists.

The main components of augmented analytics include software and services. The software comprises advanced analytics applications, such as artificial intelligence, offering advanced insights into business performance and market conditions to inform decision-making and strategy. Augmented analytics is deployed through on-premises and cloud solutions. The services associated with augmented analytics include training and consulting, deployment and integration, and support and maintenance, catering to the needs of both large enterprises and small and medium-sized enterprises (SMEs). Verticals leveraging augmented analytics span banking, financial services, and insurance (BFSI), telecom and IT, retail and consumer goods, healthcare and life sciences, and other industries.

Tariffs are influencing the augmented analytics market by increasing costs of imported servers, data storage systems, networking hardware, and high-performance computing infrastructure supporting analytics workloads. Enterprises in north america and europe are most affected due to dependence on imported data center equipment, while asia-pacific faces higher infrastructure deployment costs. These tariffs are increasing capital expenditure for analytics platforms. However, they are also encouraging cloud-based analytics adoption, regional data center expansion, and optimization of software-driven analytics solutions.

The augmented analytics market research report is one of a series of new reports from The Business Research Company that provides augmented analytics market statistics, including augmented analytics industry global market size, regional shares, competitors with a augmented analytics market share, detailed augmented analytics market segments, market trends and opportunities, and any further data you may need to thrive in the augmented analytics industry. This augmented analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The augmented analytics market size has grown exponentially in recent years. It will grow from $16.4 billion in 2025 to $20.52 billion in 2026 at a compound annual growth rate (CAGR) of 25.1%. The growth in the historic period can be attributed to growth in enterprise data volumes, rising adoption of business intelligence platforms, increasing demand for faster decision-making, expansion of cloud data warehouses, improvements in data visualization tools.

The augmented analytics market size is expected to see exponential growth in the next few years. It will grow to $50.52 billion in 2030 at a compound annual growth rate (CAGR) of 25.3%. The growth in the forecast period can be attributed to increasing investments in ai-driven analytics platforms, rising demand for democratized data access, expansion of real-time analytics use cases, growing focus on data literacy across organizations, increasing integration of analytics with enterprise applications. Major trends in the forecast period include increasing adoption of natural language query analytics, rising use of automated insight generation tools, growing integration of machine learning in bi platforms, expansion of self-service analytics solutions, enhanced focus on explainable ai.

The rise of digital transformation across industries is expected to propel the growth of the augmented analytics market going forward. Digital transformation refers to the adoption of digital technologies to bring significant changes to organizational processes, business models, and societal functions, enhancing efficiency, effectiveness, and competitiveness. The expansion of digital transformation generates massive volumes of data, which augmented analytics utilizes through artificial intelligence (AI) and machine learning to provide automated data preparation, insight generation, and natural language processing capabilities. Augmented analytics enables businesses to make informed decisions, identify trends, and extract valuable insights from their data. For instance, in March 2025, according to the Digital Transformation Agency (DTA), an Australia-based government department, 110 major digital projects across 46 agencies had a total budget of $12.9 billion, including $5.6 billion for digital initiatives, with delivery confidence ratings of 98.4% and 80.3%, significantly higher than 52.1% and 31.3% in 2024. Therefore, the rise of digital transformation is driving the growth of the augmented analytics market.

Major companies operating in the augmented analytics market are focusing on developing advanced solutions, such as AI-powered self-service BI platforms, to enhance data-driven decision-making, improve insight generation, and streamline analytics workflows. AI-powered self-service BI refers to a technological approach in augmented analytics that leverages artificial intelligence to automate data preparation, generate insights, and support predictive analytics, helping businesses prioritize high-impact decisions. For instance, in September 2024, Zoho Corporation, an India-based technology company, launched an AI-rich, highly extensible version of its self-service BI platform, Zoho Analytics, featuring generative AI capabilities, a custom ML model studio, OpenAI integration, and a unified metrics layer. Designed to assist business users and analysts with improved analytics efficiency and actionable insight generation, the solution enables automated data processing, advanced visualization, and predictive modeling to support decision-making across organizational functions.

In May 2024, Snowflake Inc., a US-based cloud data platform company, acquired TruEra Inc., a US-based AI observability platform specializing in machine learning and large-language-model applications. Through this acquisition, Snowflake aims to enhance its AI Data Cloud with advanced capabilities to evaluate, monitor, and debug predictive and generative AI workflows, thereby strengthening its augmented analytics offerings and supporting trusted, enterprise-scale insights. TruEra Inc. is a US-based company providing AI observability solutions that help organizations ensure reliable and transparent AI and ML operations.

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

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.

The countries covered in the augmented analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The augmented analytics market includes revenues earned by entities by providing tools and solutions that make it simpler for company users and executives to discover relevant information. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Augmented Analytics Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses augmented analytics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for augmented analytics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The augmented analytics market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered: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
• Companies Mentioned: 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
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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