Augmented Analytics Market Size and Share Outlook - Forecast Trends and Growth Analysis Report (2025-2034)

The global augmented analytics market value reached around USD 13.95 Billion in 2024. The rapid growth of augmented analytics is driven by the increasing need for businesses to harness large volumes of data for better decision-making and insights. Augmented analytics, powered by artificial intelligence (AI) and machine learning (ML), enables users to analyse data more efficiently and uncover hidden trends that were previously difficult to identify. This has led to increased adoption across various industries, including retail, healthcare, and finance. Companies like IBM and Microsoft are integrating AI-based analytics tools into their offerings to improve business intelligence. As a result, the industry is expected to grow at a CAGR of 28.60% during the forecast period of 2025-2034 to attain a value of USD 172.58 Billion by 2034. Additionally, the growing focus on data-driven decision-making and the shift towards self-service analytics are further propelling market expansion.

Augmented Analytics Market Growth

The growth of the augmented analytics market is being driven by an increasing number of complex business data, and the growing implementation of advanced business intelligence and analytics tools. The software sector is the largest market due to the integration of artificial intelligence and machine learning technologies into analytics platforms.

North America holds the largest share in the market owing to the high adoption of advanced analytics solutions and practices, such as smart data preparation, high opportunities for funding, extensive customer base across various industries, beneficial environment for innovation, and availability of highly skilled workforce.

Key Trends and Developments

Increased adoption of AI and machine learning, natural language processing (NLP) integration, and rising focus on data governance and quality management are the key trends propelling the market growth.

October 2024

Cognitive3D announced the launch of its Custom Dashboards feature, enhancing its platform for 3D analytics in immersive technologies. This new functionality allows users to personalise how they view and interpret spatial data, offering greater control over metrics, layout, and insights.

September 2024

Zoho Corporation launched a new version of Zoho Analytics, its self-service business intelligence (BI) and analytics platform, introducing over 100 enhancements aimed at improving user experience and analytical capabilities.

July 2024

Trivver, a Florida-based augmented reality (AR) and artificial intelligence (AI) technology company, has announced a partnership with Niantic 8th Wall, a leading WebAR platform. This collaboration aims to combine Trivver's advanced 3D data analytics capabilities with 8th Wall's WebAR tools, enhancing the measurement and effectiveness of AR advertising and brand experiences.

March 2024

TransUnion, one of the three major credit bureaus in the U.S., announced the launch of OneTru, a new cloud-based platform designed to unify its suite of data analytics, credit risk assessment, and fraud detection offerings. This development aligns with the broader trends in the augmented analytics market, which is experiencing rapid growth due to increasing demand for advanced data analysis tools.

Cloud Adoption for Scalability and Accessibility

The shift towards cloud-based analytics platforms is accelerating as businesses seek scalable, flexible, and cost-effective solutions. Cloud-based augmented analytics enable organisations to store, process, and analyse large amounts of data efficiently, while offering easier collaboration and access from anywhere, that can increase the augmented analytics demand. Oracle company has been recognised as a Leader in the 2024 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. The company emphasises its AI-powered Oracle Analytics Cloud, which helps customers move from merely analysing data to making effective decisions. Recent innovations include the integration of Oracle Fusion Data Intelligence, which leverages Oracle Cloud Infrastructure services to provide advanced analytics capabilities that extend beyond traditional reporting. Additionally, Microsoft continues to enhance its Azure Synapse Analytics, a unified analytics service that combines big data and data warehousing capabilities. This platform allows businesses to process massive datasets and generate insights in real-time, making it ideal for organisations looking to leverage cloud technology for scalable analytics solutions.

Increased Adoption of AI and Machine Learning

More businesses are integrating AI and machine learning (ML) into their analytics platforms, which improves augmented analytics market value. These technologies enable automated insights, predictive analytics, and natural language processing, making it easier for users to extract actionable insights from complex data without requiring technical expertise. For instance, Alteryx is focusing on democratising data access through its Automated Insight Generation feature, which allows users to discover insights without needing to build models or write algorithms. This capability is designed to surface critical metrics quickly and present insights in clear natural language, making analytics accessible to a broader audience within organisations. Milestone Inc. has introduced AI-generated insights and predictive analytics tools designed to streamline business performance reviews. This platform automates data collection and analysis, providing comprehensive summaries and actionable recommendations to help businesses make informed decisions swiftly. The focus on automated insights aims to enhance strategic planning by leveraging historical data for forecasting.

Natural Language Processing (NLP) Integration

The integration of natural language processing (NLP) into augmented analytics platforms is changing how users interact with data. NLP allows users to pose questions in everyday language, making data querying more intuitive and accessible. For example, platforms like IBM Watson Analytics and Microsoft Power BI enable users to ask questions like, "What were our highest sales last quarter?" and receive straightforward answers without needing technical expertise in SQL or data analysis. A study by Gartner found that organizations using NLP capabilities in their analytics tools reported a 30% increase in user engagement with data analytics. This empowers a broader range of users, including non-technical staff, to derive insights from complex datasets, ultimately enhancing decision-making processes across organisations.

Rising Focus on Data Governance and Quality Management

As firms increasingly rely on data-driven insights, there is a growing emphasis on data governance and quality management within augmented analytics. As per augmented analytics market analysis, companies are focusing on solutions that ensure data integrity and compliance with regulations while automating the processes of data cleansing and preparation. For instance, Tableau and Alteryx are incorporating features that allow users to monitor data quality metrics and flag inconsistencies automatically. According to a report from the Data Management Association (DAMA), organisations that implement robust data governance frameworks can improve data quality by up to 50%. This focus helps mitigate risks associated with poor data quality, allowing businesses to make informed decisions based on reliable information. This trend is critical for maintaining trust in analytics outcomes and fostering a culture of data-driven decision-making.

Augmented Analytics Market Trends

There is a growing trend towards self-service analytics tools that empower non-technical users to perform data analysis independently. These platforms allow users to generate reports, visualise data, and gain insights without needing a data science background, thus democratising data analysis across organisations which can increase augmented analytics industry revenue. For instance, Qlik has emphasised its commitment to self-service analytics by providing a platform that supports both technical and non-technical users. Its intuitive interface allows users to explore and visualise data easily, fostering a culture of data-driven decision-making across various departments. This capability is crucial as organisations seek to empower more employees to utilise data effectively.

Additionally, Metabase offers a free, open-source analytics tool that enables users to "ask questions" about their data through a point-and-click interface. This design makes it accessible for non-technical users to conduct simple analyses and generate insights without needing programming skills.

Augmented Analytics Market Restraints

Ensuring high-quality data is essential for effective augmented analytics. Poor data quality can lead to flawed insights, making robust data governance frameworks critical for maintaining data integrity and accuracy, which impacts the augmented analytics demand forecast. Organisations that rely heavily on legacy analytics platforms may find it challenging to transition to augmented analytics. This dependency can act as a significant barrier to adoption, preventing businesses from leveraging the full potential of newer technologies.

The advanced nature of augmented analytics platforms can hinder widespread adoption. Organisations often encounter challenges integrating new systems with existing IT infrastructure, and the learning curve associated with these tools can deter non-technical users from fully engaging with the technology. Furthermore, business leaders may resist adopting augmented analytics due to a preference for traditional decision-making practices based on intuition rather than data-driven insights. This resistance can slow down the integration of advanced analytics within organisations.

Augmented Analytics Market Dynamics

Natural Language Processing (NLP) is becoming a standard feature in augmented analytics platforms. This enables users to interact with data using simple, conversational language, asking questions and receiving insights in real time, making data analysis more intuitive and accessible, which increases the augmented analytics market opportunities. For instance, Microsoft has reported significant customer adoption of its natural language processing capabilities within its analytics platforms. According to the CVP of the Business Intelligence Platform at Microsoft, these features have made analytics more consumable and accessible, enabling users to interact with data using simple, conversational language.

Organisations are increasingly seeking tools that enable real-time data analytics. The ability to analyse data as it is generated allows for quicker decision-making and faster response to market changes. This trend is especially prominent in sectors like finance, retail, and healthcare, where immediate insights can provide a competitive advantage.

Augmented Analytics Industry Segmentation

“Augmented Analytics Market Report and Forecast 2025-2034” offers a detailed analysis of the market based on the following segments:

Market Breakup by Components

• Software
• Services

Market Breakup by Organisation Size

• Large Enterprises
• Small and Medium-Sized Enterprises

Market Breakup by Deployment Type

• On-Premises
• Cloud

Market Breakup by Vertical

• Banking, Financial Services, and Insurance
• Telecom and IT
• Retail and Consumer Goods
• Healthcare and Life Sciences
• Manufacturing
• Government and Defence
• Energy and Utilities
• Transportation and Logistics
• Media and Entertainment
• Others

Market Breakup by Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East and Africa

Augmented Analytics Market Share

Market Insights by Components

The software segment holds a significant augmented analytics market share and is expected to grow at a CAGR of 30.8% in the forecast period due to the increasing adoption of augmented analytics software, which helps eliminate human error, improve accuracy, and facilitate informed decision-making in business operations. The integration of advanced technologies such as artificial intelligence (AI) and machine learning (ML) into these software solutions further enhances their capabilities, making them essential tools for organizations looking to leverage data effectively. Notable players, like Microsoft with its Power BI platform, have integrated augmented analytics features that enable non-experts to analyse complex datasets. In India, the government’s National AI Strategy has a;sp highlighted the role of AI in transforming data analytics, further encouraging the adoption of augmented analytics software across sectors like healthcare and finance.

On the other hand, augmented analytics services provide tailoured solutions, including AI integration, consulting, and implementation support for businesses. Companies like Accenture and Deloitte are helping organisations integrate augmented analytics into their operations. For example, Accenture has partnered with SAP to offer analytics-as-a-service solutions, helping businesses gain actionable insights from large datasets. The European Commission has emphasised the need for cloud and AI-based data services in its digital strategy, with significant investments in AI-driven analytics services for public sector applications.

Market Insights by Organisation Size

Small and medium-sized enterprises are anticipated to grow at a CAGR of 29.6% between 2025 and 2034. These enterprises are increasingly adopting augmented analytics solutions to leverage data insights without the need for large-scale infrastructure, which influences augmented analytics market dynamics and trends. While large enterprises dominate the market due to their resources and established data teams, SMEs are benefiting from cost-effective, user-friendly analytics tools powered by artificial intelligence and machine learning. These tools help SMEs in data visualisation, predictive analytics, and decision-making, allowing them to compete with larger players.

Large enterprises are also leveraging augmented analytics to optimise data-driven decision-making across complex business functions. These organisations invest in advanced AI and machine learning tools for automation, forecasting, and real-time insights. IBM and Google Cloud are helping large corporations integrate augmented analytics into their systems. Volkswagen is using AI-driven analytics for supply chain optimisation and predictive maintenance. Government initiatives like the U.S. National AI Initiative Act aim to enhance AI adoption in large enterprises, boosting productivity.

Market Insights by Deployment Type

Cloud-based solutions hold the highest market share. This is primarily due to their scalability, cost-effectiveness, and ease of integration. Cloud platforms enable businesses of all sizes, including small and medium-sized enterprises, to access advanced analytics tools without the need for extensive infrastructure. Additionally, the growing adoption of cloud technology for various business operations, including data storage and processing, has further fuelled the demand for cloud-based augmented analytics solutions in augmented analytics market.

On-premises solutions are preferred by organisations that require greater control over their data and need to comply with strict data privacy regulations. Large corporations in industries such as finance and healthcare often choose on-premises augmented analytics platforms for sensitive data handling. For example, Oracle Analytics offers on-premises solutions for large enterprises, ensuring compliance with industry-specific regulations. In Germany, government reports highlight how local data privacy laws encourage companies to adopt on-premises solutions to safeguard sensitive customer data, particularly in banking and insurance sectors.

Market Insights by Vertical

The BFSI sector holds the major augmented analytics market share as financial institutions are increasingly relying on data to make real-time decisions, mitigate risks, detect fraud, and ensure regulatory compliance. Augmented analytics solutions help banks and insurance companies streamline processes such as credit scoring, fraud detection, risk assessment, and market analysis, enabling them to gain actionable insights from vast amounts of data. This sector’s ongoing digital transformation and the rise of fintech companies contribute significantly to its adoption of augmented analytics.

Telecom and IT companies are utilising augmented analytics for network optimisation, predictive maintenance, and customer experience enhancement. Telecom giants like AT&T and Vodafone use AI-powered analytics to optimise network performance and deliver personalised services to customers. The U.S. Federal Communications Commission (FCC) supports AI and machine learning adoption to improve communication infrastructure. In India, the government’s push for 5G deployment is also expected to drive the demand for advanced analytics in telecom operations.

In retail, augmented analytics helps businesses analyse consumer behaviour, optimise supply chains, and personalise marketing strategies. Companies like Walmart and Target have integrated augmented analytics to enhance inventory management and customer insights, increasing augmented analytics market revenue. In healthcare and life sciences, organisations are leveraging data to drive better patient outcomes, streamline drug discovery, and improve diagnostics. GE Healthcare and Philips are using AI-driven analytics for predictive maintenance of medical equipment and patient data analysis. The UK’s National Health Service has endorsed AI solutions for improving clinical decision-making and efficiency in healthcare.

Governments are increasingly adopting augmented analytics for public safety, fraud detection, and efficient resource allocation. The U.S. Department of Homeland Security has been using AI-driven analytics to detect threats and improve security measures. Defence agencies, like the Ministry of Defence in the UK, are adopting augmented analytics for military intelligence, logistics optimisation, and predictive maintenance of defence equipment. The EU Digital Strategy includes investments in AI technologies to support government decision-making and public services.

Energy and utilities companies are using augmented analytics for smart grid management, predictive maintenance, and energy optimisation. Siemens and Schneider Electric have integrated AI analytics to monitor power consumption and enhance grid reliability. Government initiatives, such as China's 13th Five-Year Plan, focus on the integration of AI in energy management to support the transition to renewable energy sources. In California, the state government has incorporated AI for improving the efficiency of power distribution networks.

Augmented Analytics Market Regional Analysis

Asia Pacific Augmented Analytics Market Dynamics

The market in Asia Pacific is anticipated to grow at a CAGR of 32.7% in the forecast period. As per the augmented analytics industry analysis, the markets in China and Australia are expected to grow at CAGRs of 31.3% and 28.4% between 2025 and 2034. Countries such as Japan and China are heavily investing in AI to enhance manufacturing processes, supply chain management, and customer experiences.

Many government bodies in the region, particularly in India and Singapore, are implementing AI and smart city projects that encourage the use of augmented analytics. For instance, GIFT City (Gujarat International Finance Tec-City) exemplifies pan-city development, integrating smart solutions into existing infrastructure. GIFT City incorporates advanced data analytics for financial services and urban management, enhancing operational efficiency through technology-driven solutions.

North America Augmented Analytics Market Growth

The USA market is anticipated to witness a CAGR of 30.9% in the forecast period as the U.S. government is investing in AI and machine learning, creating a favourable environment for the growth of augmented analytics industry. For instance, the Biden administration has launched an AI Talent Surge, aimed at accelerating the hiring of AI professionals across federal agencies. This initiative has resulted in onboarding over 250 AI practitioners to enhance the government's capacity to implement AI technologies effectively, including those related to augmented analytics. The region benefits from a robust technological infrastructure, high adoption of cloud-based solutions, and many businesses leveraging data for decision-making.

Europe Augmented Analytics Market Trends

The markets in the UK and Germany are expected to grow at CAGRs of 30.2% and 27.2% in the forecast period. Europe's General Data Protection Regulation (GDPR) has increased the demand for advanced data analytics that comply with stringent data security measures, boosting the augmented analytics demand growth. GDPR imposes rigorous standards on how organisations collect, store, process, and manage personal data. This regulation focuses on transparency, accountability, and user consent, requiring businesses to implement robust data governance frameworks. European businesses, especially in the automotive and finance sectors, are increasingly using AI to drive operational efficiencies and customer insights.

Middle East and Africa Augmented Analytics Market Drivers

The Middle East and Africa is emerging as a growing market for augmented analytics, particularly in regions like the United Arab Emirates, Saudi Arabia, and South Africa, where there is a strong focus on digital transformation. Countries in the Middle East, particularly the UAE and Saudi Arabia, have launched national AI strategies, investing heavily in smart cities and AI technologies, which increases the demand of augmented analytics market. For instance, UAE National Artificial Intelligence Strategy 2031, launched to position the UAE as a global leader in AI, focuses on integrating AI across various sectors, including transportation, healthcare, and education.

Latin America Augmented Analytics Market Opportunities

The Brazilian market is anticipated to witness a CAGR of 28.7% between 2025 and 2034. Government bodies and private sectors are making significant investments in digital infrastructure, driving the adoption of AI and analytics which increases the augmented analytics market revenue.

Small and medium-sized enterprises (SMEs) in the region are increasingly adopting augmented analytics to compete with larger players in various sectors, including retail, healthcare, and finance. For example, in the retail sector, SMEs are using augmented analytics to gain insights into customer buying patterns and optimise inventory management. For example, they can analyse historical sales data to forecast demand during peak seasons, helping them manage stock levels more effectively and reduce waste.

Innovative Augmented Analytics Startups

Startups are developing tools that automate data discovery, predictive analytics, and data visualisation, enabling businesses to gain actionable insights without needing specialised expertise. Many startups in augmented analytics market are also focusing on integrating augmented analytics into existing business intelligence (BI) platforms, offering solutions that improve decision-making speed, accuracy, and efficiency.

ThoughtSpot

ThoughtSpot is a pioneering company in the augmented analytics space, known for its AI-driven analytics platform that enables users to search and analyse data using natural language queries. The platform features capabilities such as AI-assisted data modelling, automated insights generation, and interactive dashboards called Liveboards.

Tellius

Tellius is an AI-driven decision intelligence platform that combines augmented analytics with machine learning to provide fast insights from data. It allows users to perform ad hoc exploration and analysis by asking questions about their business data, enabling them to analyse large datasets quickly. Recently, Tellius launched Live Insights, which offers AI-guided insights directly from cloud data warehouses, enhancing the speed and efficiency of data analysis for businesses.

Competitive Landscape

The report presents a detailed analysis of the following key players in the global augmented analytics market, looking into their capacity, market shares, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions. Companies are increasingly focusing on leveraging advanced technologies such as AI, machine learning (ML), and natural language processing (NLP) to enhance data analysis capabilities. This integration allows organisations to automate data preparation, derive actionable insights, and improve decision-making processes.

Salesforce.com, inc.

Salesforce.com, Inc. is a leading provider of cloud-based software focused on customer relationship management (CRM). The company's flagship product, Salesforce Customer 360, integrates various business functions - sales, service, marketing, and commerce - into a unified platform, enabling organisations to gain comprehensive insights into their customer interactions.

SAP Analytics Cloud

SAP Analytics Cloud is an all-in-one cloud solution that combines business intelligence, augmented analytics, and enterprise planning into a single platform. It allows users to analyse data from various sources, including SAP and non-SAP applications, facilitating real-time insights and collaborative decision-making.

Microsoft

Microsoft Corporation is a global technology giant in augmented analytics market founded in 1975 by Bill Gates and Paul Allen. Headquartered in Redmond, Washington, Microsoft is renowned for its software products, including the Windows operating system and Microsoft Office suite.

Other major players in the market are Oracle Corporation, Tableau Software, and MicroStrategy Incorporated, among others.