The global augmented analytics market size was valued at USD 15.5 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 80.4 Billion by 2033, exhibiting a CAGR of 19.87% during 2025-2033. North America currently dominates the market, holding a significant market share of over 42% in 2024, driven by advanced AI adoption, strong digital infrastructure, and major industry players accelerating growth in augmented analytics solutions.
Report Attribute
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Key Statistics
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Base Year
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2024
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Forecast Years
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2025-2033
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Historical Years
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2019-2024
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Market Size in 2024
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USD 15.5 Billion |
Market Forecast in 2033
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USD 80.4 Billion |
Market Growth Rate (2025-2033) | 19.87% |
One major driver of the augmented analytics market is the increasing demand for data- driven decision-making across industries. As companies produce large quantities of data, there is an increasing demand for sophisticated analytics tools that offer practical insights with reduced manual input. For instance, in 2024, Amazon and Databricks signed a five-year deal to use Trainium AI chips, reducing AI development costs. AWS, Databricks' fastest-growing cloud partner, has generated over USD 1 billion in customer revenue. Augmented analytics leverages artificial intelligence (AI) and machine learning (ML) to automate data preparation, analysis, and visualization, enabling organizations to enhance efficiency and accuracy. This technology empowers non-technical users to extract meaningful insights, reducing reliance on data scientists. As enterprises prioritize real-time analytics for competitive advantage, the adoption of augmented analytics continues to accelerate, driving market growth.
The United States plays a pivotal role in the augmented analytics market by serving as a global hub for technological innovation, research, and enterprise adoption. Leading tech firms, including Google, Microsoft, and IBM, are continuously advancing AI-driven analytics solutions to enhance business intelligence capabilities. For instance, in January 2025, IBM and L'Oréal partnered to develop a custom AI model using GenAI to enhance cosmetic formulation, optimize sustainability, and accelerate product innovation for L'Oréal’s 4,000 researchers worldwide. The country’s strong digital infrastructure, high adoption of cloud computing, and growing demand for data-driven decision-making drive market expansion. Additionally, U.S. enterprises across various industries, including finance, healthcare, and retail, are integrating augmented analytics to improve operational efficiency and gain competitive insights. Government initiatives supporting AI and big data further strengthen the U.S. position in this market.
Rapid Integration of Machine Learning and AI
The incorporation of machine learning (ML) and artificial intelligence (AI) is substantially redefining the global augmented analytics market. Reports indicate that 35% of these firms are implementing AI in various departments. Eighty percent of executives believe that automation can be utilized for any business choice. Such technologies facilitate predictive assessment, automation of data analysis, and improve decision-making processes. By detecting trends as well as patterns within huge datasets, ML and AI aid businesses to produce executable insights more effectively. Moreover, this trend is propelling demand across key sectors, from healthcare to finance, where data analysis in real-time is requisite for refining operations. In addition, the constant development of such technologies is anticipated to further fuel the utilization of augmented analytics solutions, establishing them as a more accessible and high-end solution for non-technical customers. For instance, in March 2024, TransUnion, a credit bureau in the U.S., launched OneTru, its new AI-driven data analytics platform, to provide financial institutions ML and AI tools for addressing marketing, fraud, and credit demands.
Surge in Self-Service Analytics
According to the augmented analytics market report, self-service analytics is a magnifying trend in the market, encouraging non-technical consumers to conduct data analysis independently. A recent industry survey found that the percentage of employees utilizing analytics and business intelligence has risen by 87% in the organizations examined. This notable inclination lowers the dependency on both IT departments and data scientists, amplifying decision-making processes within firms. Moreover, tools providing user-friendly, seamless interfaces are rapidly being leveraged by businesses seeking to endorse a data-driven landscape and democratize the access to data. In addition, as more sectors are increasingly prioritizing real-time analysis and operational efficacy, the requirement for self-service analytics systems is anticipated to propel intensely, facilitating the widespread adoption across major industries such as healthcare, retail, and finance. For instance, in September 2023, Oracle, a computer technology company, unveiled new AI-based features within Oracle analytics cloud, leveraging the company’s cloud infrastructure to enable self-service analytics users to conduct enhanced analyses more effectively, promoting comprehensive and faster business decisions independently.
Rising Demand for Cloud-Based Analytics Solutions
As per the augmented analytics market research report, the requirement for cloud-based augmented analytics solutions is heightening increasingly primarily due to their cost-effectiveness, versatility, and scalability. As per reports, global end-user expenditure on public cloud services is projected to rise 20.4% in 2022, reaching USD 494.7 Billion, an increase from USD 410.9 Billion in 2021. Cloud-based platforms offer businesses with the capability to evaluate and accumulate huge volumes of data without the requirement for substantial on-premise infrastructure. In addition, cloud-based services facilitate the remote-based access to data analytics tools, reinforcing alliance along disseminated teams. Moreover, as more businesses are prioritizing the digital transformation ventures, the utilization of clou-based analytics is set to amplify, further prompting innovations in augmented analytics abilities and supporting seamless incorporation with other cloud-originated services as well as applications. For instance, in June 2024, Qlik, an AI and data analytics services provider, launched Qlik Talend Cloud, a cloud-based data platform, along with a generative AI assistant, for utilizing and managing unstructured data.
IMARC Group provides an analysis of the key trends in each segment of the global augmented analytics market, along with forecast at the global, regional, and country levels from 2025-2033. The market has been categorized based on component, deployment mode, organization size, and industry vertical.
Analysis by Component:
Software stands as the largest component in 2024, holding around 80% of the market. As per the augmented analytics market forecast, software is anticipated to sustain its dominance, mainly due to the increased adoption of advanced AI and machine learning tools across industries. With the heightening demand for real-time data analysis and decision-making, augmented analytics software platforms offer users with automated insights and improved data visualization abilities. Moreover, vendors are emphasizing on incorporating user-friendly interfaces and scalable solutions, permitting businesses to process large datasets efficiently. In addition, continuous innovation in software development is expected to play a critical role in boosting the market growth.
Analysis by Deployment Mode:
Cloud-based leads the market with around 56.7% of market share in 2024. The on-premises deployment mode primarily driven by numerous sectors demanding improved data security and control over their analytics infrastructure. Moreover, organizations, particularly in healthcare and finance healthcare, opt for on-premises solutions to maintain adherence with strict data privacy regulations. In addition, this approach offers greater incorporation and customization with existing systems. Furthermore, the on-premises segment is anticipated to remain prominent as various firms prioritize data sovereignty while balancing innovations in cloud adoption processes, resultantly contributing to a positive augmented analytics market outlook.
Analysis by Organization Size:
Large enterprises lead the market with around 76.8% of market share in 2024. Large enterprises represent a leading segment in the global augmented analytics market, principally driven by their demand for cutting-edge data analysis tools to manage sophisticated operations and huge datasets. Such organizations prioritize the incorporation of augmented analytics solutions to enhance user insights, operational efficacy, and tactical decision-making. In addition, with comprehensive resources for utilizing AI-powered tools, large enterprises are early adopters of upgraded analytics technologies, establishing them as major drivers in innovation as well as market growth.
Analysis by Industry Vertical:
BFSI leads the market in 2024. As per industry report, augmented analytics market in BFSI sector has witnessed a significant growth, increasing from USD 2.06 Billion in 2023 to USD 2.61 Billion in 2024, with a CAGR of 26.6%. Financial institutions increasingly rely on augmented analytics to enhance fraud detection, risk management, and personalized customer services. Moreover, by leveraging AI and machine learning capabilities, the BFSI sector can process large volumes of data in real time, enabling more informed decisions. In addition, the sector’s significant investments in data-driven strategies continue to drive its dominant position in the market, contributing to overall growth.
Regional Analysis:
In 2024, North America accounted for the largest market share of over 42%. North America has emerged as a dominant region in the global augmented analytics market chiefly due to the robust presence of key market players, extensive utilization of machine learning and AI technologies, and resilient technological infrastructure. The region’s key sectors, like retail, finance, or healthcare, are rapidly adopting augmented analytics for enhancing operational efficacy and decision-making processes. Moreover, government schemes endorsing digital transformation, combined with substantial investments in AI research and development, further boost North America’s dominance in the global market, spurring constant innovation and growth. As per industry reports, it is projected that in the year 2024, North American companies will increase their investments in generative AI by 67%.
US accounts for 82.9% share of the market in North America. The growing adoption of augmented analytics is driven by its increasing deployment in the United States and the widespread adoption of cloud services. Reports indicate that 98% of organizations in the U.S. utilize cloud technology for their business operations. Businesses are recognizing the value of integrating augmented analytics into their operations, as it offers real-time insights and simplifies data analysis through natural language processing and machine learning. The surge in cloud services adoption has provided organizations with scalable, cost-effective platforms to implement augmented analytics tools seamlessly. This integration allows businesses to harness vast amounts of data from multiple sources, enabling enhanced decision-making and operational efficiency. In the United States, industries such as finance, healthcare, and retail are leveraging augmented analytics to stay competitive by predicting trends and understanding customer behavior more effectively. The flexibility offered by cloud-based platforms further accelerates this adoption, as companies can deploy these tools without significant upfront investments. Moreover, the emphasis on data-driven strategies in the u.s. Business environment has fuelled demand for augmented analytics solutions that democratize access to insights across all organizational levels. As cloud technologies continue to evolve, they are expected to support even more advanced features, driving the adoption of augmented analytics further in the U.S. and globally.
The adoption of augmented analytics among SMEs is gaining momentum due to their increasing focus on enhancing productivity and competitiveness. As per the India Brand Equity Foundation, the count of MSMEs in India is expected to increase from 6.3 crore to approximately 7.5 crore at a CAGR of 2.5%. Small businesses are leveraging augmented analytics to make data-driven decisions that optimize operations, customer engagement, and market expansion. SMEs are increasingly exploring advanced tools for efficient resource utilization, sales forecasting, and inventory management. In the manufacturing sector, augmented analytics simplifies supply chain management, monitors production processes, and reduces downtime by predicting equipment maintenance needs. Retailers utilize these solutions to analyze customer preferences, streamline marketing campaigns, and improve inventory replenishment. The affordability and user-friendly nature of augmented analytics platforms enable SMEs to integrate these tools seamlessly into their operations. By democratizing access to advanced analytics, these platforms empower small enterprises to compete effectively in fast-evolving markets, driving significant adoption across industries.
The BFSI sector is witnessing rapid adoption of augmented analytics as financial institutions seek to improve customer experience, mitigate risks, and enhance decision-making. Reports indicate that in 2021, the EU had 784 foreign bank branches, with 619 originating from other EU Member States and 165 from non-EU countries. By leveraging advanced data analysis, banks and insurers optimize fraud detection, credit scoring, and personalized product recommendations. The integration of augmented analytics into financial services enables real-time monitoring of transactions, ensuring compliance and reducing operational risks. In investment management, these tools enhance portfolio optimization and provide predictive insights into market trends. Insurers utilize augmented analytics to assess risk factors, predict claims, and streamline underwriting processes. The ability of augmented analytics to uncover hidden patterns in vast datasets allows organizations to make proactive decisions that align with customer expectations and regulatory requirements. This capability is particularly valuable for enhancing operational efficiency and delivering innovative financial products tailored to customer needs.
The ecommerce sector is driving augmented analytics adoption by integrating advanced tools to analyze customer behaviors, optimize pricing strategies, and personalize shopping experiences. Reports indicate that the Latin America market presently features more than 300 million digital consumers. Retailers are utilizing predictive analytics to anticipate demand, manage inventory, and streamline logistics. Augmented analytics solutions empower businesses to evaluate sales patterns and forecast market trends, ensuring better alignment with consumer preferences. By automating complex data analysis, these tools improve marketing efficiency and enhance customer satisfaction. The focus on leveraging data for targeted campaigns and operational improvements is accelerating the adoption of augmented analytics, providing businesses with a competitive edge in a highly dynamic sector.
Augmented analytics adoption is supported by increasing investments in the telecom and IT sectors, aimed at improving service delivery, network performance, and customer satisfaction. For example, total expenditure on information and communications technology (ICT) in the Middle East, Türkiye, and Africa (META) will exceed USD 238 billion this year, representing a rise of 4.5% compared to 2023. Telecom operators are using augmented analytics to monitor network traffic, predict outages, and optimize resource allocation. IT service providers are integrating these tools to enhance cybersecurity, streamline IT operations, and deliver personalized solutions to clients. By automating data analysis and enabling real-time insights, augmented analytics improves efficiency and supports strategic decision-making. This growing investment in technology-driven advancements is accelerating the adoption of augmented analytics across industries reliant on telecom and IT infrastructure.
The augmented analytics market is highly competitive, driven by key technology players and emerging startups focusing on AI-powered data analytics. Major companies dominate the market with advanced AI and machine learning-driven analytics solutions. For instance, in 2024, Microsoft introduced adapted AI models tailored to industry needs, developed with partners like Bayer and Siemens. These pre-trained models enhance accuracy and effectiveness, addressing key business use cases across various sectors. These firms continuously innovate to enhance data automation, visualization, and predictive insights, catering to enterprises seeking data-driven decision-making. Additionally, startups and niche players are introducing specialized solutions tailored to industry-specific needs. Strategic partnerships, acquisitions, and investments in research and development are intensifying competition. As demand for real-time analytics grows, companies are focusing on user-friendly, scalable solutions to expand their market presence and drive adoption across industries.
The report provides a comprehensive analysis of the competitive landscape in the augmented analytics market with detailed profiles of all major companies, including:
Report Features | Details |
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Base Year of the Analysis | 2024 |
Historical Period | 2019-2024 |
Forecast Period | 2025-2033 |
Units | Billion USD |
Scope of the Report |
Exploration of Historical Trends and Market Outlook, Industry Catalysts and Challenges, Segment-Wise Historical and Future Market Assessment:
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Components Covered | Software, Services |
Deployment Modes Covered | On-premises, Cloud-based |
Organization Sizes Covered | Small and Medium-sized Enterprises (SMEs), Large Enterprises |
Industry Verticals Covered | BFSI, Retail, Healthcare and Life Sciences, Telecom and IT, Manufacturing, Government, Transportation and Logistics, Others |
Regions Covered | Asia Pacific, Europe, North America, Latin America, Middle East and Africa |
Countries Covered | United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico |
Companies Covered | Domo Inc., International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, QlikTech International AB, Salesforce Inc., SAP SE, Sisense Inc., ThoughtSpot Inc., TIBCO Software Inc., Yellowfin International Pty Ltd (Idera Inc.), etc. |
Customization Scope | 10% Free Customization |
Post-Sale Analyst Support | 10-12 Weeks |
Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
Key Benefits for Stakeholders:
The augmented analytics market was valued at USD 15.5 Billion in 2024.
IMARC estimates the augmented analytics market to reach USD 80.4 Billion by 2033, exhibiting a CAGR of 19.87% during 2025-2033.
Key factors driving the augmented analytics market include increasing demand for data-driven decision-making, advancements in AI and machine learning, growing adoption of cloud-based analytics, rising need for real-time insights, and user-friendly analytics tools enabling non-technical users. Additionally, businesses seek automation to enhance efficiency, reduce costs, and gain a competitive advantage.
North America currently dominates the market with 42% share, driven by rapid AI adoption, strong technological infrastructure, high demand for data-driven decision-making, and the presence of major analytics providers like Microsoft, IBM, and Google. Growing investment in AI-driven business intelligence further strengthens the region’s leadership in augmented analytics.
Some of the major players in the augmented analytics market include Domo Inc., International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, QlikTech International AB, Salesforce Inc., SAP SE, Sisense Inc., ThoughtSpot Inc., TIBCO Software Inc., Yellowfin International Pty Ltd (Idera Inc.), etc.