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    US Embedded Analytics Market

    ID: MRFR/ICT/17200-HCR
    100 Pages
    Garvit Vyas
    October 2025

    US Embedded Analytics Market Research Report: By Deployment Type (On-Premises, Cloud-Based, Hybrid), By Application (Business Intelligence, Reporting, Data Visualization, Predictive Analytics), By End User (Small and Medium Enterprises, Large Enterprises, Government) and By Integration Type (API Integration, Middleware Integration, Direct Integration) - Forecast to 2035

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    US Embedded Analytics Market Infographic
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    US Embedded Analytics Market Summary

    As per MRFR analysis, the US embedded analytics market Size was estimated at 10.75 USD Billion in 2024. The US embedded analytics market is projected to grow from 12.13 USD Billion in 2025 to 40.61 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 12.84% during the forecast period 2025 - 2035.

    Key Market Trends & Highlights

    The US embedded analytics market is experiencing robust growth driven by technological advancements and evolving user needs.

    • Integration with business applications is becoming increasingly prevalent, enhancing the functionality of embedded analytics solutions.
    • A strong focus on user experience is evident, as organizations strive to make data insights more accessible and actionable for end-users.
    • The rise of self-service analytics is transforming how businesses interact with data, empowering users to derive insights independently.
    • Key market drivers include the increased demand for data-driven decision making and advancements in cloud computing technologies.

    Market Size & Forecast

    2024 Market Size 10.75 (USD Billion)
    2035 Market Size 40.61 (USD Billion)

    Major Players

    Tableau Software (US), Microsoft (US), Qlik (US), SAP (DE), IBM (US), Sisense (IL), Domo (US), Looker (US), TIBCO Software (US)

    US Embedded Analytics Market Trends

    The embedded analytics market is currently experiencing a notable transformation, driven by the increasing demand for data-driven decision-making across various sectors. Organizations are recognizing the value of integrating analytics directly into their applications, which enhances user experience and promotes informed choices. This trend is particularly evident in industries such as finance, healthcare, and retail, where real-time insights can lead to improved operational efficiency and customer satisfaction. As businesses strive to remain competitive, the adoption of embedded analytics solutions is likely to accelerate, fostering innovation and agility in data utilization. Moreover, advancements in technology, including artificial intelligence and machine learning, are further propelling the embedded analytics market. These technologies enable more sophisticated data analysis and visualization, allowing users to derive actionable insights with greater ease. The growing emphasis on self-service analytics is also noteworthy, as it empowers non-technical users to engage with data independently. This shift not only democratizes access to information but also enhances overall productivity within organizations. As the landscape evolves, the embedded analytics market appears poised for substantial growth, driven by these technological advancements and changing user expectations.

    Integration with Business Applications

    There is a growing trend towards the seamless integration of embedded analytics within existing business applications. This approach allows organizations to leverage their current software infrastructure while enhancing functionality with advanced analytics capabilities. By embedding analytics directly into workflows, users can access insights without switching between different platforms, thereby streamlining processes and improving efficiency.

    Focus on User Experience

    The emphasis on user experience in the embedded analytics market is becoming increasingly pronounced. Companies are prioritizing intuitive design and user-friendly interfaces to ensure that analytics tools are accessible to a broader audience. This focus on usability is likely to drive higher adoption rates, as organizations seek solutions that empower employees at all levels to make data-driven decisions.

    Rise of Self-Service Analytics

    The trend towards self-service analytics is gaining momentum, as organizations aim to empower users to explore data independently. This shift allows non-technical personnel to generate insights without relying heavily on IT departments. By providing tools that facilitate self-service capabilities, businesses can enhance agility and responsiveness, ultimately leading to more informed decision-making.

    US Embedded Analytics Market Drivers

    Growing Importance of Real-Time Analytics

    Real-time analytics is becoming a critical component of the embedded analytics market. Organizations are increasingly seeking solutions that provide immediate insights into their operations, allowing for timely responses to market changes. This trend is particularly evident in sectors such as finance and retail, where the ability to analyze data in real-time can lead to improved customer experiences and operational efficiencies. The embedded analytics market is adapting to this demand by offering tools that support real-time data processing and visualization. As businesses continue to prioritize agility and responsiveness, the market for embedded analytics is expected to expand, with a focus on delivering real-time insights.

    Regulatory Compliance and Data Governance

    The embedded analytics market is also influenced by the growing emphasis on regulatory compliance and data governance. Organizations are increasingly required to adhere to strict data protection regulations, which necessitates the implementation of robust analytics solutions that ensure data integrity and security. The embedded analytics market is responding to this need by developing tools that not only provide insights but also facilitate compliance with regulations such as GDPR and CCPA. As businesses navigate the complexities of data governance, the demand for embedded analytics solutions that prioritize security and compliance is likely to rise, further driving market growth.

    Advancements in Cloud Computing Technologies

    The rise of cloud computing technologies is significantly impacting the embedded analytics market. As organizations migrate to cloud-based solutions, the demand for embedded analytics tools that can seamlessly integrate with these platforms is increasing. Cloud technologies offer scalability, flexibility, and cost-effectiveness, which are appealing to businesses looking to enhance their analytics capabilities. The embedded analytics market is likely to see a substantial uptick in adoption rates as cloud solutions become more prevalent. Furthermore, the ability to access analytics from anywhere and on any device is driving user engagement and satisfaction, which is crucial for the success of embedded analytics solutions.

    Increased Demand for Data-Driven Decision Making

    The embedded analytics market is experiencing a surge in demand as organizations increasingly prioritize data-driven decision making. Companies are recognizing the value of integrating analytics directly into their business applications, enabling real-time insights that enhance operational efficiency. According to recent estimates, the market is projected to grow at a CAGR of approximately 20% over the next five years. This growth is driven by the need for organizations to leverage data for competitive advantage, as businesses that utilize data analytics are likely to outperform their peers. The embedded analytics market is thus positioned to benefit from this trend, as more companies seek to embed analytics into their workflows to facilitate informed decision making.

    Emergence of Artificial Intelligence and Machine Learning

    The integration of artificial intelligence (AI) and machine learning (ML) technologies is transforming the embedded analytics market. These advanced technologies enable organizations to derive deeper insights from their data, automate processes, and enhance predictive analytics capabilities. The embedded analytics market is witnessing a shift towards solutions that incorporate AI and ML, allowing businesses to uncover patterns and trends that were previously difficult to identify. As organizations increasingly adopt these technologies, the market is expected to grow, driven by the need for more sophisticated analytics tools that can provide actionable insights and improve decision-making processes.

    Market Segment Insights

    By Deployment Type: Cloud-Based (Largest) vs. On-Premises (Fastest-Growing)

    The US embedded analytics market exhibits a diverse distribution within the Deployment Type segment. Cloud-Based solutions currently hold a significant share, reflecting the industry's trend towards convenience and scalability. On-Premises solutions, while less dominant, continue to attract a dedicated user base seeking control and data security. This juxtaposition indicates an evolving landscape where both deployment types find their niches in the market. Growth trends reveal a marked increase in demand for Hybrid deployments, as businesses seek to leverage both on-premises security and cloud scalability. Drivers for this shift include advancements in technology that improve interoperability and the need for transformative data analytics to stay competitive. As organizations prioritize flexible deployment options, Cloud-Based platforms are expected to witness sustained growth in the coming years.

    Cloud-Based (Dominant) vs. On-Premises (Emerging)

    In the landscape of US embedded analytics market, Cloud-Based solutions have established themselves as the dominant force, appealing to businesses looking for enhanced flexibility, scalability, and ease of use. These platforms facilitate real-time data analysis and quick deployment, making them ideal for organizations keen on operational efficiency. On-Premises solutions, while classified as emerging, cater specifically to enterprises needing stringent data security and customization capabilities. Their growing acceptance signals a renewed interest among businesses that prefer managing their analytics infrastructure directly. Both segments complement each other, addressing varying user preferences and operational requirements, which fosters a dynamic market environment.

    By Application: Business Intelligence (Largest) vs. Predictive Analytics (Fastest-Growing)

    In the US embedded analytics market, Business Intelligence holds a significant share, dominating the application segment. It encompasses tools and practices that help organizations make data-driven decisions, providing deep insights and fostering a culture of informed decision-making. On the other hand, Predictive Analytics is the fastest-growing segment within this market. It leverages advanced statistical algorithms and machine learning techniques to analyze historical data and predict future outcomes, driving business agility and responsiveness. The increasing demand for data-centric decision-making is significantly contributing to the rapid expansion of this segment.

    Business Intelligence (Dominant) vs. Predictive Analytics (Emerging)

    Business Intelligence is characterized by its comprehensive capabilities that combine data analytics, visualization, and reporting, aiding organizations in deriving actionable insights and enhancing operational efficiency. It enjoys a large market presence supported by a wide array of tools tailored for various industries. Predictive Analytics, emerging rapidly, focuses on forecasting trends and behaviors through data analysis, which helps organizations stay ahead of market shifts. Its growing popularity is fueled by advancements in machine learning and increased accessibility to vast amounts of data. Together, these segments illustrate a dynamic landscape where established tools and innovative methodologies serve distinct but interrelated purposes.

    By End User: Large Enterprises (Largest) vs. Small and Medium Enterprises (Fastest-Growing)

    The market share distribution within the end user segment of the US embedded analytics market shows a strong preference for large enterprises, which currently hold a dominant position due to their extensive resources and data-intensive operations. These organizations leverage embedded analytics for strategic decision-making and operational efficiency, consequently securing a significant share of the market. Meanwhile, small and medium enterprises are gaining traction, appealing to affordable and scalable solutions that cater to their unique needs, indicating a shift in the market landscape. Growth trends in the embedded analytics market reveal a rising demand from small and medium enterprises, who are increasingly adopting these tools to enhance their business intelligence capabilities. The surge in cloud computing and the growing focus on data-driven decision-making contribute significantly to this growth. Additionally, government sectors are starting to recognize the value of embedded analytics in enhancing transparency and efficiency, further catalyzing market expansion.

    Large Enterprises: Dominant vs. Small and Medium Enterprises: Emerging

    Large enterprises are characterized by their robust infrastructure and substantial data management capabilities, allowing them to fully utilize embedded analytics for enhanced performance. These organizations typically have dedicated teams that focus on analytics, enabling them to extract insights from vast amounts of data for strategic use. In contrast, small and medium enterprises are emerging as a competitive force in the market, primarily due to their need for cost-effective, user-friendly analytics solutions. They often seek tools that are easy to implement and provide measurable benefits without requiring extensive IT resources, making them a rapidly growing segment within the US embedded analytics market.

    By Integration Type: API Integration (Largest) vs. Middleware Integration (Fastest-Growing)

    The US embedded analytics market is witnessing a diverse distribution of market share among integration types. API Integration holds the largest share, driven by its capability to streamline and enhance data connectivity between various systems. Middleware Integration, although smaller in share, has been gaining traction as businesses seek more flexible and efficient ways to integrate disparate systems and applications. Looking ahead, the growth trends in this segment are significantly influenced by the increasing demand for real-time data analytics and the rise of cloud-based solutions. Middleware Integration is rapidly emerging as organizations prioritize seamless data flow and interoperability. This growth is supported by advancements in technology and an evolving focus on user-centric analytics, positioning it as a key driver in the market.

    Integration: API (Dominant) vs. Middleware (Emerging)

    API Integration serves as a dominant force in the US embedded analytics market, characterized by its robust functionality and extensive adaptability across various platforms. It allows businesses to leverage existing data silos efficiently, promoting rapid data sharing and enhanced analytics capabilities. On the other hand, Middleware Integration is emerging as a critical solution, enabling organizations to create a cohesive data ecosystem. This integration type facilitates the communication between different software applications, enhancing flexibility and decreasing the time-to-market for analytic solutions. As digital transformation accelerates, both integration types play distinct yet complementary roles, where API Integration focuses on direct, real-time access, while Middleware Integration addresses the need for integration across multiple systems.

    Get more detailed insights about US Embedded Analytics Market

    Key Players and Competitive Insights

    The embedded analytics market in the US is characterized by a dynamic competitive landscape, driven by the increasing demand for data-driven decision-making across various sectors. Key players such as Tableau Software (US), Microsoft (US), and Qlik (US) are at the forefront, leveraging their technological prowess to enhance user experience and operational efficiency. Tableau Software (US) focuses on innovation through continuous product enhancements, while Microsoft (US) emphasizes integration with its broader ecosystem, including Azure and Power BI. Qlik (US) appears to be concentrating on expanding its cloud capabilities, which collectively shapes a competitive environment that is increasingly reliant on advanced analytics and seamless integration.

    The market structure is moderately fragmented, with numerous players vying for market share. Key business tactics include localizing services to meet regional demands and optimizing supply chains to enhance responsiveness. The collective influence of these major players fosters a competitive atmosphere where agility and adaptability are paramount, allowing them to respond effectively to evolving customer needs and technological advancements.

    In October 2025, Tableau Software (US) announced a strategic partnership with a leading AI firm to enhance its analytics capabilities. This collaboration aims to integrate advanced machine learning algorithms into Tableau's platform, thereby enabling users to derive deeper insights from their data. The strategic importance of this move lies in its potential to position Tableau as a leader in AI-driven analytics, appealing to organizations seeking to leverage predictive analytics for better decision-making.

    In September 2025, Microsoft (US) unveiled a new feature within Power BI that allows for real-time data visualization directly from IoT devices. This innovation is significant as it enhances the platform's utility for industries reliant on real-time data, such as manufacturing and logistics. By facilitating immediate insights, Microsoft strengthens its competitive edge, catering to businesses that prioritize timely decision-making.

    In August 2025, Qlik (US) launched a new cloud-based analytics solution aimed at small to medium-sized enterprises (SMEs). This strategic move is noteworthy as it opens up new market segments for Qlik, traditionally focused on larger enterprises. By addressing the needs of SMEs, Qlik not only diversifies its customer base but also positions itself as a more accessible option in the embedded analytics market.

    As of November 2025, current trends in the embedded analytics market include a pronounced shift towards digitalization, sustainability, and the integration of AI technologies. Strategic alliances are increasingly shaping the competitive landscape, enabling companies to pool resources and expertise. Looking ahead, competitive differentiation is likely to evolve from traditional price-based competition to a focus on innovation, technological advancement, and supply chain reliability. This shift underscores the importance of agility and responsiveness in a rapidly changing market.

    Key Companies in the US Embedded Analytics Market market include

    Industry Developments

    The US Embedded Analytics Market has seen significant developments recently, particularly with companies such as SAP, ThoughtSpot, Zoho, and Microsoft expanding their analytics solutions to meet rising demand in data-driven decision-making. In August 2023, TIBCO Software announced the acquisition of a prominent analytics start-up to bolster its capabilities in real-time data processing and visualization. Notably, MicroStrategy reported a surge in market valuation due to its integration of advanced analytics features into its business intelligence platforms. The US market's growth has been supported by increasing investments in cloud-based solutions and machine learning technologies.

    Companies like Salesforce and IBM have ramped up their Research and Development efforts in embedding AI-driven insights into their analytics products, enhancing user experience and functionality. In the last few years, the rise of remote work and digital transformation has further fueled demand for embedded analytics solutions, leading to a competitive landscape among analytics providers like Domo, Qlik, and Sisense. As businesses increasingly rely on data to drive strategies, the Embedded Analytics Market in the US is set to continue its expansion, with firms continually adapting to technological advancements and market needs.

    Future Outlook

    US Embedded Analytics Market Future Outlook

    The embedded analytics market is projected to grow at a 12.84% CAGR from 2024 to 2035, driven by increasing data integration and demand for real-time insights.

    New opportunities lie in:

    • Development of AI-driven analytics tools for real-time decision-making.
    • Integration of embedded analytics in IoT devices for enhanced data visualization.
    • Expansion of cloud-based analytics solutions for scalable business intelligence.

    By 2035, the embedded analytics market is expected to achieve substantial growth and innovation.

    Market Segmentation

    US Embedded Analytics Market End User Outlook

    • Small and Medium Enterprises
    • Large Enterprises
    • Government

    US Embedded Analytics Market Application Outlook

    • Business Intelligence
    • Reporting
    • Data Visualization
    • Predictive Analytics

    US Embedded Analytics Market Deployment Type Outlook

    • On-Premises
    • Cloud-Based
    • Hybrid

    US Embedded Analytics Market Integration Type Outlook

    • API Integration
    • Middleware Integration
    • Direct Integration

    Report Scope

    MARKET SIZE 202410.75(USD Billion)
    MARKET SIZE 202512.13(USD Billion)
    MARKET SIZE 203540.61(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR)12.84% (2024 - 2035)
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR2024
    Market Forecast Period2025 - 2035
    Historical Data2019 - 2024
    Market Forecast UnitsUSD Billion
    Key Companies Profiled["Tableau Software (US)", "Microsoft (US)", "Qlik (US)", "SAP (DE)", "IBM (US)", "Sisense (IL)", "Domo (US)", "Looker (US)", "TIBCO Software (US)"]
    Segments CoveredDeployment Type, Application, End User, Integration Type
    Key Market OpportunitiesIntegration of artificial intelligence enhances decision-making capabilities in the embedded analytics market.
    Key Market DynamicsRising demand for data-driven decision-making fuels growth in the embedded analytics market.
    Countries CoveredUS

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    FAQs

    What is the expected market size of the US Embedded Analytics Market in 2024?

    The US Embedded Analytics Market is expected to be valued at 2.5 billion USD in 2024.

    What is the projected market value of the US Embedded Analytics Market by 2035?

    By 2035, the US Embedded Analytics Market is expected to reach a valuation of 8.0 billion USD.

    What is the expected compound annual growth rate (CAGR) for the US Embedded Analytics Market from 2025 to 2035?

    The expected CAGR for the US Embedded Analytics Market from 2025 to 2035 is 11.153%.

    Which deployment type is estimated to dominate the US Embedded Analytics Market in 2024?

    The On-Premises deployment type is estimated to dominate with a value of 1.0 billion USD in 2024.

    What will be the market value of Cloud-Based deployments in the US Embedded Analytics Market by 2035?

    Cloud-Based deployments are expected to reach a market value of 4.0 billion USD by 2035.

    How much is the Hybrid deployment segment of the US Embedded Analytics Market expected to grow from 2024 to 2035?

    The Hybrid deployment segment is expected to grow from 0.3 billion USD in 2024 to 0.8 billion USD in 2035.

    Who are the major players in the US Embedded Analytics Market?

    Key players include SAP, ThoughtSpot, Zoho, Domo, Oracle, MicroStrategy, Looker, Qlik, IBM, Yellowfin, Microsoft, Tableau, Salesforce, TIBCO Software, and Sisense.

    What is the market growth potential for the US Embedded Analytics Market in the coming years?

    The market has significant growth potential due to increasing demand for data-driven decision-making solutions.

    What are the key applications driving growth in the US Embedded Analytics Market?

    Key applications include business intelligence, operational reporting, and real-time analytics.

    How is the current global scenario likely affecting the US Embedded Analytics Market?

    The current global scenario may create challenges but also provides opportunities for innovation and enhancement in analytics solutions.

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