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    Data And Analytics Software Market

    ID: MRFR/ICT/26938-HCR
    128 Pages
    Shubham Munde
    October 2025

    Data And Analytics Software Market Research Report By Deployment Model (On-premises, Cloud), By Data Source (Structured, Unstructured), By Data Type (Big data, Enterprise data), By Application (Data visualization, Data mining, Predictive analytics), By Industry (BFSI (Banking, Financial Services and Insurance), Healthcare, Retail) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035

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    Data And Analytics Software Market Infographic
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    Data And Analytics Software Market Summary

    The Global Data And Analytics Software Market is projected to grow significantly from 130.85 USD Billion in 2024 to 363.09 USD Billion by 2035.

    Key Market Trends & Highlights

    Data And Analytics Software Key Trends and Highlights

    • The market is expected to achieve a compound annual growth rate (CAGR) of 9.77 percent from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 363.1 USD Billion, indicating robust growth potential.
    • in 2024, the market is valued at 130.85 USD Billion, reflecting a strong foundation for future expansion.
    • Growing adoption of data analytics tools due to increasing demand for data-driven decision making is a major market driver.

    Market Size & Forecast

    2024 Market Size 130.85 (USD Billion)
    2035 Market Size 363.09 (USD Billion)
    CAGR (2025-2035) 9.72%

    Major Players

    Microsoft, IBM, Oracle, Qlik, Informatica, Teradata, Splunk, Amazon Web Services (AWS), Databricks, SAS Institute, SAP, Tibco Software, MicroStrategy, Tableau Software, Google Cloud Platform (GCP)

    Data And Analytics Software Market Trends

    The Data and Analytics Software Market is experiencing a surge in demand, driven by the increasing adoption of advanced technologies such as artificial intelligence (AI) and machine learning (ML). Businesses are recognizing the importance of data-driven decision-making to gain a competitive advantage. The rise of cloud computing and the availability of massive amounts of data are also contributing to the growth of this market.

    Recent trends in the Data and Analytics Software Market include the proliferation of self-service analytics tools, the convergence of traditional business intelligence (BI) and advanced analytics platforms and the growing emphasis on data governance and security. The use of data lakes and data warehouses for centralized data storage is also gaining traction, providing organizations with a comprehensive view of their data and enabling more effective analysis.

    The increasing reliance on data-driven decision-making across various sectors suggests a robust growth trajectory for the global data and analytics software market, as organizations seek to harness insights for competitive advantage.

    U.S. Department of Commerce

    Data And Analytics Software Market Drivers

    Market Growth Projections

    The Global Data And Analytics Software Market Industry is projected to experience substantial growth over the coming years. With a market value of 130.2 USD Billion anticipated in 2024, the industry is expected to expand significantly, reaching an estimated 363.1 USD Billion by 2035. This growth trajectory indicates a compound annual growth rate (CAGR) of 9.77% from 2025 to 2035. Such projections highlight the increasing reliance on data analytics across various sectors, as organizations strive to leverage data for strategic decision-making and operational efficiency.

    Emergence of Big Data Technologies

    The emergence of big data technologies is reshaping the Global Data And Analytics Software Market Industry. As organizations generate and collect vast amounts of data, the need for advanced analytics tools capable of processing and analyzing this data becomes paramount. Big data technologies, such as Hadoop and Spark, enable businesses to derive meaningful insights from large datasets, driving innovation and enhancing decision-making processes. The increasing volume of data generated across various sectors is expected to propel the market forward, as organizations seek to harness the power of big data analytics to gain a competitive edge.

    Rising Adoption of Cloud-Based Solutions

    The shift towards cloud-based data analytics solutions is significantly influencing the Global Data And Analytics Software Market Industry. Organizations are increasingly migrating their data analytics operations to the cloud due to the flexibility, scalability, and cost-effectiveness offered by these solutions. Cloud-based platforms facilitate real-time data access and collaboration, enabling businesses to make informed decisions swiftly. This trend is expected to drive market growth, with a compound annual growth rate (CAGR) of 9.77% projected from 2025 to 2035. As more organizations embrace cloud technologies, the demand for data analytics software is likely to escalate.

    Regulatory Compliance and Data Governance

    The necessity for regulatory compliance and robust data governance frameworks is a critical driver in the Global Data And Analytics Software Market Industry. Organizations are compelled to adhere to stringent regulations regarding data privacy and security, such as the General Data Protection Regulation (GDPR). This compliance requirement drives the demand for analytics solutions that ensure data integrity and security. Companies are investing in data governance tools to manage their data assets effectively, thereby mitigating risks associated with non-compliance. As the regulatory landscape continues to evolve, the market is likely to witness sustained growth, reflecting the increasing importance of data governance.

    Increasing Demand for Data-Driven Decision Making

    The Global Data And Analytics Software Market Industry experiences a surge in demand as organizations increasingly prioritize data-driven decision making. Companies recognize the value of leveraging analytics to enhance operational efficiency and gain competitive advantages. For instance, businesses are utilizing predictive analytics to optimize supply chain management, resulting in reduced costs and improved customer satisfaction. This trend is expected to contribute to the market's growth, with projections indicating a market value of 130.2 USD Billion in 2024. As organizations continue to adopt data analytics solutions, the industry is poised for significant expansion.

    Advancements in Artificial Intelligence and Machine Learning

    The integration of artificial intelligence and machine learning technologies into data analytics tools is transforming the Global Data And Analytics Software Market Industry. These advancements enable organizations to automate data processing, uncover insights, and enhance predictive capabilities. For example, AI-driven analytics platforms can analyze vast datasets in real-time, providing businesses with actionable insights that were previously unattainable. As a result, organizations are increasingly adopting these sophisticated tools to remain competitive. The anticipated growth of the market, projected to reach 363.1 USD Billion by 2035, underscores the importance of these technological advancements in shaping the industry's future.

    Market Segment Insights

    Data And Analytics Software Market Deployment Model Insights

    The deployment model segment of the Data And Analytics Software Market is classified into on-premises and cloud. The cloud segment is expected to hold a significant market share in the coming years due to its cost-effectiveness, scalability and flexibility. The on-premises segment, on the other hand, is expected to witness a steady growth rate during the forecast period. The Data And Analytics Software Market revenue for the on-premises segment is estimated to be around USD 35.2 billion in 2023, while the cloud segment is expected to generate a revenue of USD 73.4 billion in the same year.

    The cloud segment is expected to grow at a CAGR of 10.2% during the forecast period, reaching a market size of USD 162.5 billion by 2032. The on-premises segment, on the other hand, is expected to grow at a CAGR of 7.5% during the same period, reaching a market size of USD 62.9 billion by 2032. The growth of the cloud segment can be attributed to the increasing adoption of cloud-based solutions by businesses of all sizes. Cloud-based solutions offer a number of benefits over on-premises solutions, such as reduced costs, increased flexibility and improved scalability.

    Additionally, the cloud segment is expected to benefit from the growing adoption of artificial intelligence (AI) and machine learning (ML). AI and ML are increasingly being used to automate tasks and improve the efficiency of data and analytics processes. The cloud segment is expected to provide a fertile ground for the growth of AI and ML, as it offers the necessary infrastructure and resources for these technologies to thrive.

    Source Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Data And Analytics Software Market Data Source Insights

    The Data And Analytics Software Market is expected to gain traction over the next few years, owing to the increasing demand for data-driven insights and the need for businesses to make informed decisions. The Data Source segment plays a crucial role in the Data And Analytics Software Market, as it determines the quality and accuracy of the data being analyzed. The 'Structured' data source segment held the largest share of the Data And Analytics Software Market in 2023 and is expected to continue its dominance over the forecast period.

    Structured data refers to data that is organized in a predefined format, such as rows and columns, making it easy to process and analyze. The growth of this segment can be attributed to the increasing adoption of relational database management systems (RDBMS) and data warehouses, which are designed to handle large volumes of structured data. In contrast, the 'Unstructured' data source segment is expected to witness significant growth over the forecast period. Unstructured data refers to data that is not organized in a predefined format, such as text, images and videos.

    The growth of this segment can be attributed to the increasing adoption of Big Data technologies, which are designed to handle large volumes of unstructured data. Overall, the Data Source segment is expected to contribute significantly to the growth of the Data And Analytics Software Market over the forecast period. The increasing demand for data-driven insights and the need for businesses to make informed decisions are key factors driving the growth of this segment.

    Data And Analytics Software Market Data Type Insights

    The Data And Analytics Software Market is segmented by data type into big data and enterprise data. The big data segment is expected to hold a larger market share in the coming years, owing to the increasing adoption of big data analytics solutions by enterprises to gain insights from large volumes of structured and unstructured data. The enterprise data segment is also expected to witness significant growth, driven by the growing need for data management and analytics solutions to improve operational efficiency and decision-making.

    In 2023, the big data segment is valued at USD 35.61 billion and is projected to reach USD 78.23 billion by 2032, growing at a CAGR of 9.8%.

    The enterprise data segment is valued at USD 28.08 billion in 2023 and is projected to grow to USD 62.14 billion by 2032, exhibiting a CAGR of 9.9%.

    Data And Analytics Software Market Application Insights

    Data visualization, data mining and predictive analytics are the three main applications of data and analytics software. These applications help businesses to understand their data and make better decisions. Data visualization helps businesses to see their data in a graphical format, which makes it easier to understand trends and patterns. Data mining helps businesses to find hidden insights in their data, which can be used to improve decision-making. Predictive analytics helps businesses to predict future events, which can be used to make better decisions about product development, marketing and operations.

    The data visualization market is expected to grow from USD 9.75 billion in 2023 to USD 26.07 billion by 2032, at a CAGR of 12.4%. The data mining market is expected to grow from USD 17.45 billion in 2023 to USD 47.58 billion by 2032, at a CAGR of 12.6%. The predictive analytics market is expected to grow from USD 13.09 billion in 2023 to USD 34.60 billion by 2032, at a CAGR of 11.9%. The growth of the data and analytics software market is being driven by the increasing volume of data that businesses are collecting.

    This data is being used to improve decision-making, identify new opportunities and reduce costs.

    The growth of the market is also being driven by the increasing adoption of cloud computing and artificial intelligence.

    Data And Analytics Software Market Industry Insights

    The Data And Analytics Software Market is segmented into various industries, including BFSI (Banking, Financial Services and Insurance), healthcare and retail. These industries have unique data and analytics requirements, driving the demand for specialized software solutions. The BFSI sector is a major consumer of data and analytics software, with a focus on risk management, fraud detection and customer relationship management. The healthcare industry utilizes data analytics for disease diagnosis, drug discovery and personalized medicine.

    The retail industry leverages data analytics for customer segmentation, inventory optimization and demand forecasting. In 2023, the Data And Analytics Software Market revenue in the BFSI segment is projected to reach $35.68 billion, growing at a CAGR of 9.5% from 2023 to 2032. The healthcare segment is expected to witness a CAGR of 10.2% during the same period, reaching a valuation of $28.45 billion in 2032. The retail segment is anticipated to grow at a CAGR of 9.9%, reaching $26.17 billion by 2032.

    These industry-specific data and analytics software solutions empower businesses to make informed decisions, improve operational efficiency, and gain a competitive edge in their respective markets.

    Get more detailed insights about Data And Analytics Software Market

    Regional Insights

    The regional segmentation of the Data And Analytics Software Market offers insights into the market's geographic distribution and growth potential. North America held the largest market share in 2023, accounting for 38.4% of the Data And Analytics Software Market revenue. The region's dominance can be attributed to the presence of leading technology companies and early adoption of advanced data analytics solutions. Europe followed North America with a market share of 29.2% in 2023, driven by increasing investments in digital transformation initiatives across various industries.

    APAC is projected to witness the highest growth rate during the forecast period, owing to the rising adoption of cloud-based data analytics solutions and government initiatives promoting data-driven decision-making. South America and MEA are expected to contribute a significant share to the Data And Analytics Software Market growth, as organizations in these regions seek to improve operational efficiency and customer engagement.

    Data_And_Analytics_Software_Market_3

    Source Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Key Players and Competitive Insights

    Major players in Data And Analytics Software Market industry are constantly striving to stay ahead of the competition by investing in research and development, acquiring smaller companies and expanding their product portfolio. Leading Data And Analytics Software Market players such as Microsoft, IBM and Oracle are focusing on developing cloud-based solutions, artificial intelligence (AI) and machine learning (ML) capabilities, and industry-specific applications. These companies are also expanding their geographical reach through partnerships and acquisitions to cater to the growing demand for data and analytics solutions globally.

    The Data And Analytics Software Market Competitive Landscape is highly dynamic, with new entrants and disruptive technologies emerging regularly.

    Leading in the Data And Analytics Software Market is Microsoft, a multinational technology company that offers a comprehensive suite of data and analytics solutions under its Azure cloud platform. Microsoft's strength lies in its wide range of products, including Azure Synapse Analytics, Azure Data Factory, and Power BI, which cater to various data management, analytics and visualization needs. Microsoft's focus on cloud computing and AI integration enables it to provide scalable and intelligent solutions to customers across industries. The company's extensive partner ecosystem and presence further contribute to its competitive advantage.

    Another prominent player in the Data And Analytics Software Market is IBM, a technology leader known for its strong presence in enterprise software and services. IBM's data and analytics portfolio includes IBM Watson Analytics, IBM Cognos Analytics and IBM InfoSphere Information Server. IBM leverages its expertise in AI, cognitive computing and data science to provide advanced analytics solutions that help organizations extract insights from complex data and make data-driven decisions. IBM's deep industry knowledge and long-standing relationships with customers across various sectors enhance its competitive position.

    Key Companies in the Data And Analytics Software Market market include

    Industry Developments

    • Q2 2024: Databricks acquires Tabular to expand data lakehouse capabilities Databricks announced the acquisition of Tabular, a startup specializing in data lakehouse technology, to strengthen its analytics platform and support open table formats for enterprise customers.
    • Q2 2024: Alteryx appoints Mark Anderson as CEO amid cloud analytics push Alteryx named Mark Anderson as its new CEO, signaling a strategic shift toward cloud-based analytics solutions and accelerated product innovation.
    • Q2 2024: Snowflake launches Arctic, a new open-source large language model for enterprise analytics Snowflake unveiled Arctic, an open-source LLM designed to enhance data analytics and AI capabilities for enterprise customers, marking a major product launch in the sector.
    • Q2 2024: Qlik acquires Mozaic Data to boost AI-driven analytics portfolio Qlik completed the acquisition of Mozaic Data, integrating advanced AI-driven analytics features into its platform to better serve enterprise clients.
    • Q3 2024: Microsoft announces partnership with SAP to integrate Copilot AI into SAP Analytics Cloud Microsoft and SAP entered a strategic partnership to embed Microsoft Copilot AI into SAP Analytics Cloud, enhancing predictive analytics and automation for joint customers.
    • Q3 2024: Palantir wins $178 million US Army contract for AI-powered data analytics platform Palantir secured a $178 million contract with the US Army to deploy its AI-powered data analytics platform for military decision support and operational efficiency.
    • Q3 2024: ThoughtSpot raises $150 million in Series F funding to accelerate AI analytics development ThoughtSpot closed a $150 million Series F funding round to expand its AI-driven analytics offerings and scale global operations.
    • Q4 2024: Oracle launches new Autonomous Data Warehouse features for real-time analytics Oracle introduced enhanced real-time analytics capabilities in its Autonomous Data Warehouse, targeting faster insights and improved data management for enterprise users.
    • Q4 2024: SAS announces partnership with NVIDIA to accelerate AI analytics workloads SAS and NVIDIA formed a partnership to optimize SAS analytics software for NVIDIA GPUs, aiming to accelerate AI and machine learning workloads for enterprise clients.
    • Q1 2025: MongoDB acquires Datafold to enhance data quality analytics MongoDB acquired Datafold, a data quality analytics startup, to integrate advanced data validation and monitoring features into its cloud database platform.
    • Q1 2025: Google Cloud launches Vertex AI Data Analytics Suite Google Cloud announced the launch of Vertex AI Data Analytics Suite, a new product offering designed to streamline data preparation, analysis, and machine learning for enterprise customers.
    • Q2 2025: Splunk wins multi-year contract with UK National Health Service for real-time analytics Splunk secured a multi-year contract with the UK National Health Service to provide real-time data analytics solutions for healthcare operations and patient care optimization.

    Future Outlook

    Data And Analytics Software Market Future Outlook

    The Data And Analytics Software Market is projected to grow at a 9.72% CAGR from 2025 to 2035, driven by advancements in AI, increased data generation, and demand for real-time analytics.

    New opportunities lie in:

    • Develop AI-driven analytics tools for predictive insights in various industries.
    • Expand cloud-based analytics solutions to enhance accessibility and scalability.
    • Leverage partnerships with IoT providers to integrate real-time data analytics capabilities.

    By 2035, the Data And Analytics Software Market is expected to achieve substantial growth, reflecting evolving technological demands.

    Market Segmentation

    Data And Analytics Software Market Industry Outlook

    • BFSI (Banking, Financial Services and Insurance)
    • Healthcare
    • Retail

    Data And Analytics Software Market Regional Outlook

    • North America
    • Europe
    • South America
    • Asia PacifiMiddle East and Africa

    Data And Analytics Software Market Data Type Outlook

    • Big data
    • Enterprise data

    Data And Analytics Software Market Application Outlook

    • Data visualization
    • Data mining
    • Predictive analytics

    Data And Analytics Software Market Data Source Outlook

    • Structured
    • Unstructured

    Data And Analytics Software Market Deployment Model Outlook

    • On-premises
    • Cloud

    Report Scope

    Report Attribute/Metric Details
    Market Size 2024 130.85 (USD Billion)
    Market Size 2025 143.57 (USD Billion)
    Market Size 2035 363.09 (USD Billion)
    Compound Annual Growth Rate (CAGR) 9.72% (2025 - 2035)
    Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year 2024
    Market Forecast Period 2025 - 2035
    Historical Data 2019 - 2023
    Market Forecast Units USD Billion
    Key Companies Profiled Qlik, Informatica, Oracle, Microsoft, Teradata, Splunk, Amazon Web Services (AWS), Databricks, SAS Institute, SAP, IBM, Tibco Software, MicroStrategy, Tableau Software, Google Cloud Platform (GCP)
    Segments Covered 1.       Deployment Model 2.       Data Source, 3.       Data Type, 4.       Application, 5.       Industry, 6.       Regional
    Key Market Opportunities 1.       Self-service analytics tools 2.       Integration with other cloud applications 3.       Prescriptive and predictive analytics 4.       Artificial intelligence and machine 5.       learning Data storytelling
    Key Market Dynamics Cloud adoption real-time analytics artificial intelligence
    Countries Covered North America, Europe, APAC, South America, MEA

    FAQs

    What was the market size of the Data And Analytics Software Market?

    The Data And Analytics Software Market was valued at 143.57 billion USD in 2025 and is expected to reach 250.37 billion USD by 2034, exhibiting a CAGR of 9.72% during the forecast period.

    Which region is expected to dominate the Data And Analytics Software Market?

    North America is expected to dominate the Data And Analytics Software Market throughout the forecast period due to the presence of major technology companies and early adoption of advanced technologies.

    What are the key growth drivers of the Data And Analytics Software Market?

    The growing adoption of cloud-based analytics solutions, increasing demand for data-driven insights, and the proliferation of IoT devices are the key growth drivers of the Data And Analytics Software Market.

    Which industry vertical is expected to hold the largest market share in the Data And Analytics Software Market?

    The BFSI industry vertical is expected to hold the largest market share in the Data And Analytics Software Market due to the increasing need for risk management, fraud detection, and customer analytics.

    Who are the key competitors in the Data And Analytics Software Market?

    Some of the key competitors in the Data And Analytics Software Market include IBM, Microsoft, SAP, Oracle, SAS Institute, Tableau Software, MicroStrategy, Qlik, Alteryx, and TIBCO Software.

    What are the major trends shaping the Data And Analytics Software Market?

    The major trends shaping the Data And Analytics Software Market include the rise of artificial intelligence (AI) and machine learning (ML), the adoption of real-time analytics, and the growing importance of data governance and security.

    What is the expected growth rate of the Data And Analytics Software Market in the Asia-Pacific region?

    The Data And Analytics Software Market in the Asia-Pacific region is expected to grow at a CAGR of 11.2% during the forecast period, driven by the increasing adoption of digital technologies and the growing awareness of data analytics.

    What are the challenges faced by the Data And Analytics Software Market?

    The challenges faced by the Data And Analytics Software Market include data privacy and security concerns, the lack of skilled professionals, and the high cost of implementation.

    What is the impact of cloud computing on the Data And Analytics Software Market?

    Cloud computing is having a significant impact on the Data And Analytics Software Market by providing scalable and cost-effective solutions for data storage and processing.

    What are the opportunities for growth in the Data And Analytics Software Market?

    The opportunities for growth in the Data And Analytics Software Market include the increasing demand for data-driven insights, the growing adoption of IoT devices, and the development of new technologies such as AI and ML.

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