Global Augmented Analytics Market Size, Share & Industry Trends Analysis Report By Enterprise Type (Large Enterprises, Small & Medium Enterprises), By End User, By Regional Outlook and Forecast, 2023 - 2030

The Global Augmented Analytics Market size is expected to reach $70.2 billion by 2030, rising at a market growth of 22.3% CAGR during the forecast period.

Businesses in the retail sector must comprehend consumer behavior and preferences. Augmented analytics helps retailers make data-driven decisions that improve efficiency and reduce operational costs. Consequently, the retail segment captured $2,248.3 in the market in 2022. Retailers are leveraging augmented analytics to gain deeper insights into their operations. They use data analysis to optimize inventory management, supply chain processes, and pricing strategies. Augmented analytics tools enable retailers to analyze large volumes of customer data, such as purchase history, online behavior, and feedback. This analysis helps retailers personalize marketing efforts and enhance the customer experience.



The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In October, 2023, MicroStrategy, Inc. partnered with Microsoft, to integrate its advanced analytics capabilities Microsoft's with Azure OpenAI Service. The partnership aids MicroStrategy in strengthening its analytics platform, MicroStrategy ONE. However, In August, 2023, IBM Corporation partnered with Salesforce, an American software company, to aid businesses worldwide in AI integration into their CRM systems.

Cardinal Matrix

Market Competition Analysis

Based on the Analysis presented in the Cardinal Matrix; Microsoft Corporation is the forerunner in the Market. Companies such as Oracle Corporation, SAP SE, IBM Corporation are some of the key innovators in the Market. For Instance, In June, 2023, Salesforce, Inc. came into partnership with Google Cloud, a cloud platform offered by Google. The two companies aimed to facilitate businesses in enhancing their CRM systems by including data and AI tools in them.

Market Growth Factors

Rising Demand Due to Digital Transformation Across Industries

Countless amounts of data are being gathered and stored by enterprises as part of digital transformation activities. They require advanced analytics tools to extract meaningful insights and drive informed decisions. With its automation and predictive capabilities, it helps organizations leverage this data effectively. Digital transformation often focuses on improving the customer experience. It plays a crucial role in this by analyzing customer data to understand preferences and behaviors. This enables organizations to provide more personalized and tailored experiences central to digital transformation efforts. Digital transformation often involves adopting cloud technologies and expanding digital infrastructures. This enhances the requirement for strong data security and adherence to laws like GDPR and HIPAA. These tools offer advanced security features to protect sensitive data and ensure regulatory compliance. Therefore, these factors will drive the demand for these analytics in the coming years.

User-Friendly Nature of Augmented Analytics Solutions

The user-friendly nature of these tools means that a broader range of professionals, beyond data scientists and analysts, can use these tools. This widens the potential user base for augmented analytics, increasing its adoption across various industries and sectors. Traditional data analysis methods often required extensive training and expertise, limiting the number of individuals who could effectively use these tools. It lowers the skill barriers, making data analysis accessible to professionals with varying levels of technical expertise. This means that more people within an organization can actively engage in data analysis without undergoing extensive training, thus speeding up the adoption process. The democratization of data analysis encourages the development of a data-driven culture within organizations. When employees at various levels can easily access and analyze data, it becomes an integral part of their decision-making processes. This cultural shift fosters a more innovative and agile organization. As a result, these factors will help in the expansion of the market in the coming years.

Market Restraining Factors

Rising Concerns Over Data Privacy and Security

Stricter data privacy regulations, such as GDPR in Europe and CCPA in California, require organizations to adhere to stringent data protection measures. Complying with these regulations often entails significant costs, including investments in data encryption, secure storage, and legal consultation. This can increase the overall cost of implementing these solutions, discouraging some organizations from adopting them. Enhanced data privacy measures can make it more challenging for augmented analytics tools to access and analyze certain data, especially when it contains personal or sensitive information. This limitation can hinder the comprehensive data analysis, reducing the potential insights generated. Organizations must carefully manage data access, permissions, and encryption to ensure compliance. Due to this complexity, the implementation and maintenance of these tools may be difficult. Owing to these factors, the augmented analytics market can witness decreased demand in the upcoming years.



The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Partnerships, Collaborations & Agreements.

End User Outlook

On the basis of end user, the market is divided into BFSI, IT & telecom, government, retail, healthcare, manufacturing, transport & logistics, energy & utility, and others. The BFSI segment recorded the maximum revenue share in the market in 2022. In the highly competitive and data-centric world of banking and finance, data-driven decision-making is imperative. The BFSI sector places a strong emphasis on risk assessment and management. Augmented analytics aids in predictive modeling and the identification of potential risks. It enables financial institutions to create more accurate risk profiles and react swiftly to market fluctuations. As a result, there will be increased demand in the segment.

Enterprise Type Outlook

Based on enterprise type, the market is segmented into large enterprises and small & medium enterprises. In 2022, the small and medium enterprises segment garnered a significant revenue share in the market. These solutions are becoming increasingly affordable and accessible to SMEs. Many vendors offer cloud-based, subscription-based models, allowing SMEs to access advanced analytics tools without substantial upfront investments in hardware or software. This cost-effectiveness is a significant incentive for SMEs to adopt augmented analytics. Therefore, the segment will grow rapidly in the upcoming years.

Regional Outlook

By region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. The North America segment procured the highest revenue share in the market in 2022. The region has seen a surge in developing and adopting advanced technologies, including artificial intelligence (AI), machine learning, and natural language processing (NLP). They understand the importance of data analysis in gaining a competitive edge and making informed decisions. It offers a more accessible and efficient way to analyze data, making it a natural fit for this environment. These aspects are expected to increase the demand in the North America segment.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include QlikTech International AB, Salesforce Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, TIBCO Software Inc., SAP SE, SAS Institute Inc., MicroStrategy, Inc. and Alteryx, Inc.

Strategies deployed in the Market

Partnerships, Collaborations, and Agreements:

• Oct-2023: MicroStrategy, Inc. partnered with Microsoft, an American technology company, to integrate its advanced analytics capabilities Microsoft's with Azure OpenAI Service. The partnership aids MicroStrategy in strengthening its analytics platform, MicroStrategy ONE.
• Aug-2023: IBM Corporation partnered with Salesforce, an American software company, to aid businesses worldwide in AI integration into their CRM systems. The partnership would help the joint customers of the companies to meet their business needs using the power of generative AI.
• Jun-2023: Salesforce, Inc. came into partnership with Google Cloud, a cloud platform offered by Google. The two companies aimed to facilitate businesses in enhancing their CRM systems by including data and AI tools in them.
• May-2023: SAP SE entered a partnership with Accenture, an Irish IT company, to develop business models based on the SAP Business Technology Platform (SAP BTP). The models developed as a result of this partnership would aid their customers to streamline and improve their business operations.
• May-2023: SAP SE signed a partnership with Google Cloud, a cloud platform offered by Google, to integrate Google Cloud’s Data and Analytics Technology with SAP's portfolio. The partnership enables SAP to serve its customers in a better way by providing them with a portfolio that would simplify the data landscapes, perform advanced analysis, and provide quick access to important business-related data.
• Jul-2021: IBM Corporation partnered with SAP SE, a German software company, to facilitate the IBM cloud adoption in the financial services industry by integrating IBM cloud with SAP's portfolio of finance and data management solutions. The partnership aids IBM in serving its customers in a better way by helping them increase operational efficiencies through the use of the cloud.
• Jun-2021: Salesforce, Inc. signed a partnership with Amazon Web Services, Inc., a subsidiary of Amazon, to provide customers with digital transformation solutions. The companies aimed to achieve the objective by unifying their respective offerings.
• May-2021: SAP extended its partnership with Team Liquid, a leading worldwide professional esports organization. By using the power of SAP HANA, predictive & and machine learning functionalities, and the SAP Business Technology Platform, Team Liquid would more rapidly and efficiently evaluate opponents’ approaches.
• Jan-2021: SAS extended its 40-year partnership with the US Food and Drug Administration (FDA). Under this expansion, SAS aimed to expand its capabilities in natural language processing, AI, and ML capabilities via the SAS Viya platform with the support of the FDA’s mission as an important public health agency. This partnership would help FDA to advance CDER’s initiative to modernize drug regulatory programs, better meet the centre’s mission, and offer analytically driven drug manufacturing facility surveillance via other core initiatives.

Product Launches and Product Expansions:

• Oct-2023: MicroStrategy, Inc. released MicroStrategy AI, a tool that facilitates users to smoothly integrate generative AI into their data applications. The capabilities of the tool include Auto Answers, Auto Dashboard., Auto SQL, and Auto Expert.
• Sep-2023: Oracle Corporation released new AI-powered capabilities for its Oracle Analytics Cloud. The new features utilize Oracle Cloud Infrastructure (OCI) Generative AI service to aid analytics self-service users in conducting sophisticated analysis in a quicker way. The new capabilities include Generative AI Data Interactions, AI-Powered Document Understanding, Contextual Insights, and Collaboration Software Integrations.
• Sep-2023: Oracle Corporation released Fusion Data Intelligence Platform, an AI-powered business tool for providing 360-degree data models and enhanced interactive analytics. The tool combines data-driven insights with intelligent decisions and actions for delivering better business outcomes.
• Jun-2023: QlikTech International AB released Qlik OpenAI Analytics Connector, a suite of OpenAI connectors that helps users to bring Generative AI content into Qlik that would facilitate a wide variety of cloud analytics. Using the product, Users would be able to integrate powerful natural language insights directly from OpenAI into analytics apps and conduct direct queries of ChatGPT augmented with data from Qlik.
• May-2023: Microsoft Corporation unveiled Microsoft Fabric, an end-to-end, unified analytics platform that aids organizations with all the data and analytics tools they need. The fabric features seven workloads namely, Data Factory, Synapse Data Engineering, Synapse Data Science, Synapse Data Warehousing, Synapse Real-Time Analytics, Power BI, and Data Activator.
• Mar-2023: Salesforce, Inc. unveiled Einstein GPT. The Einstein GPT is an AI-powered CRM technology used for delivering AI-created content at a hyper-scale across different interactions. The Einstein GPT features Salesforce's unique AI models and compatibility with Salesforce Data Cloud.
• Feb-2023: Alteryx, Inc. announced new features for the Alteryx Analytics Cloud Platform. The new features include the Alteryx Designer Cloud interface, Reporting functionality, and Alteryx Metrics Store.
• Nov-2022: IBM Corporation announced the launch of IBM Business Analytics Enterprise. The Business Analytics Enterprise is a collection of business intelligence services used for planning, forecasting, and reporting for a business. The Business Analytics Enterprise features IBM Analytics Content Hub that provides analytics and planning dashboards, it features algorithms used for advising role-based content for assistance in decision making.

Acquisition and Mergers:

• May-2023: IBM Corporation announced the acquisition of Polar Security, an Israeli software company. The acquisition enhances IBM's Security Guardium platform.
• Feb-2022: Alteryx, Inc. took over Trifacta, a software company headquartered in the United States. The acquisition makes Alteryx a special provider of a comprehensive offering of end-to-end automated analytics solutions.
• Sep-2021: QlikTech International AB acquired Big Squid, a provider of no-code automated machine learning (AutoML). The acquisition allows QlikTech to provide the industry's most robust augmented analytics capabilities suite for cloud analytics and reinforces its vision of Active Intelligence.
• Jan-2021: Tibco Software, Inc. announced the acquisition of Information Builders, Inc., a data analytics solutions provider. The acquisition enhances TIBCO's offerings by adding Information Builders' data analytics and management capabilities to TIBCO's Connected Intelligence platform.
• Jan-2021: SAS acquired Boemska, a privately held technology company. This acquisition aimed to improve SAS Viya, a cloud-native, advanced analytics platform, with enriching capabilities that accelerate SAS' objective of supporting the whole analytics life cycle and facilitating customer transformation to the cloud.

Scope of the Study

Market Segments Covered in the Report:

By Enterprise Type

• Large Enterprises
• Small & Medium Enterprises

By End User

• BFSI
• IT & Telecom
• Government
• Retail
• Healthcare
• Manufacturing
• Transport & Logistics
• Energy & Utility
• Others

By Geography

• North America
• US
• Canada
• Mexico
• Rest of North America- Europe
• Germany
• UK
• France
• Russia
• Spain
• Italy
• Rest of Europe- Asia Pacific
• China
• Japan
• India
• South Korea
• Singapore
• Malaysia
• Rest of Asia Pacific- LAMEA
• Brazil
• Argentina
• UAE
• Saudi Arabia
• South Africa
• Nigeria
• Rest of LAMEA

Key Market Players

List of Companies Profiled in the Report:

• QlikTech International AB
• Salesforce Inc.
• IBM Corporation
• Microsoft Corporation
• Oracle Corporation
• TIBCO Software Inc.
• SAP SE
• SAS Institute Inc.
• MicroStrategy, Inc.
• Alteryx, Inc.

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