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Embedded Analytics Market Analysis

ID: MRFR//2953-HCR | 100 Pages | Author: Aarti Dhapte| December 2024

The embedded analytics market has been encountering dynamic movements and critical development as of late. Embedded analytics alludes to the mix of business knowledge (BI) apparatuses and abilities straightforwardly into programming applications, giving clients experiences and analytics flawlessly inside their work process. This market's elements are molded by a mix of mechanical progressions, expanding information driven independent direction, and the developing interest for ongoing analytics.

One of the key drivers energizing the market's extension is the fast development of innovation. As associations endeavor to remain cutthroat in the present quick moving business climate, they are progressively perceiving the worth of embedded analytics in acquiring an upper hand. With the approach of distributed computing, man-made consciousness, and AI, embedded analytics arrangements have become more modern, offering progressed analytics, prescient demonstrating, and information perception abilities.

The developing significance of information driven navigation is another huge component adding to the market's elements. Organizations across different businesses are utilizing embedded analytics to extricate significant experiences from tremendous measures of information. By implanting analytics straightforwardly into their applications, organizations engage clients at all levels to pursue informed choices in light of continuous information, encouraging a more dexterous and responsive hierarchical culture.

Continuous analytics is a critical viewpoint impacting the market elements of embedded analytics. In the present quick moving business scene, the capacity to get to and break down information progressively is urgent. Embedded analytics empowers clients to associate with and break down information inside the setting of their applications, giving moment bits of knowledge that help opportune independent direction. This ongoing capacity is especially important in ventures like money, medical care, and assembling, where speedy and precise choices are central.

In addition, the interest for customized and easy to use analytics encounters has driven merchants to zero in on upgrading the UI and client experience of embedded analytics arrangements. Easy to understand interfaces work with more extensive reception inside associations, as representatives at different ability levels can undoubtedly explore and get esteem from the embedded analytics instruments incorporated into their everyday work processes.

As the market keeps on advancing, the reception of embedded analytics isn't restricted to huge ventures. Little and medium-sized ventures (SMEs) are progressively perceiving the advantages of integrating analytics straightforwardly into their applications. This democratization of analytics engages associations, everything being equal, to tackle the force of information for vital navigation, adding to the general development of the embedded analytics market.

In any case, challenges exist inside this unique scene. Security and protection concerns connected with taking care of delicate information in embedded analytics applications stay a point of convergence. Merchants are effectively tending to these worries by carrying out strong safety efforts, consistence conventions, and information encryption to guarantee the respectability and classification of the information being handled and dissected.

Embedded Analytics Market Overview


The Embedded Analytics Market is projected to grow from USD 42.16 billion in 2024 to USD 110.82 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 12.84% during the forecast period (2024 - 2032). Additionally, the market size for Embedded Analytics was valued at USD 36.73 billion in 2023.


Companies use embedded analytics solutions to make better work decisions to boost productivity and sales, and the increase in data complexity and variety of data are the key market drivers incorporating market growth.


Figure 1: Embedded Analytics Market Size, 2024 - 2032 (USD Billion)


Embedded Analytics Market Overview


Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review

Embedded Analytics Market Trends


The growing adoption of cloud-based embedded analytics solutions is driving the market growth


The rising adoption of cloud-based embedded analytics solutions drives market CAGR for embedded analytics. Cloud computing has revolutionized the IT industry, and the embedded analytics market is no exception. Organizations increasingly adopt cloud-based embedded analytics solutions due to their scalability, accessibility, and cost-effectiveness. Cloud-based platforms enable businesses to access real-time analytics from anywhere, anytime, fostering remote collaboration and enhancing overall productivity. Cloud-based embedded analytics solutions offer seamless integration with other cloud services and applications, facilitating data exchange and enabling organizations to build comprehensive data ecosystems. The scalability of cloud infrastructure allows businesses to scale their analytics capabilities as per demand, ensuring optimal performance even during peak usage periods. Furthermore, cloud-based solutions eliminate the need for on-premises infrastructure and maintenance, reducing upfront costs and enabling organizations to focus on core competencies.


Augmented analytics combines artificial intelligence, machine learning, and natural language processing to automate data preparation, analysis, and insights generation. It focuses on automating time-consuming tasks traditionally performed by data analysts, empowering business users to explore data and generate insights independently. Embedded analytics platforms increasingly incorporate augmented analytics capabilities to democratize data and insights across organizations. With augmented analytics, business users can leverage automated data cleansing, data modeling, and visualization to derive actionable insights without relying on specialized data teams. This trend reduces the dependency on data experts, accelerates decision-making processes, and enables organizations to respond quickly to market changes. In addition, augmented analytics features such as smart data discovery, automated pattern identification, and automated forecasting enhance the accuracy and speed of decision-making. These capabilities empower business users to explore data, identify trends, and make real-time data-driven decisions, leading to improved operational efficiency and competitive advantage.


Organizations seek advanced analytics capabilities to derive meaningful insights as data volumes continue to explode. Integrating artificial intelligence (AI) and machine learning (ML) algorithms into embedded analytics solutions has become increasingly prevalent. By leveraging AI and ML techniques, embedded analytics platforms can automate data analysis, uncover hidden patterns, and provide predictive and prescriptive insights. One significant application of embedded AI and ML in analytics is natural language processing (NLP) and natural language generation (NLG). NLP enables users to interact with embedded analytics systems using natural language queries, making analytics accessible to a broader audience. NLG, on the other hand, generates human-readable narratives based on the analyzed data, facilitating better decision-making and understanding of complex analytics.


These trends reshape how organizations analyze and utilize data to drive better decision-making and gain a competitive edge in today's data-driven world. As technology evolves, we can expect further innovations in embedded analytics, bringing new opportunities and challenges for businesses across industries. To stay ahead, organizations must embrace these trends and leverage embedded analytics to unlock the full potential of their data, driving the Embedded Analytics market revenue.


Embedded Analytics Market Segment Insights


Embedded Analytics Component Insights


The global Embedded Analytics market segmentation, based on components, includes software and solution. The software segment dominated the market. It includes a range of tools, platforms, and applications that enable the integration of analytics capabilities within existing software systems and applications. Embedded analytics software empowers organizations to deliver actionable insights and data-driven decision-making directly within the context of their operational workflows. They are designed to seamlessly integrate into existing applications, enabling users to access real-time analytics without switching between different tools or interfaces.


Embedded Analytics Service Insights


The global Embedded Analytics market segmentation, based on service, includes professional service and managed service. The professional service category generated the most income. This service involves requirements analysis, solution design, integration, training, and ongoing support. Professional service providers work closely with clients to understand their unique needs and ensure the smooth deployment of embedded analytics solutions. They offer technical expertise and domain knowledge to help organizations leverage analytics capabilities effectively.


Embedded Analytics Application Insights


The global Embedded Analytics market segmentation, based on application, includes IT & human resources. The IT category generated the most income. By integrating analytics into IT applications, developers can gain real-time insights into system performance, identify bottlenecks, and optimize resource allocation. It helps improve the efficiency, reliability, and security of IT infrastructure. Additionally, embedded analytics enables IT teams to track user behavior, identify patterns, and enhance user experience, leading to better product development and customer satisfaction.


Embedded Analytics Deployment Insights


The global Embedded Analytics market segmentation, based on deployment, includes cloud and on-premise. The cloud-based category generated the most income. They offer various advantages, such as scalability, flexibility, and cost-effectiveness. Cloud deployment eliminates the need for extensive infrastructure and allows easy accessibility from anywhere, making it suitable for organizations with distributed teams or those looking for rapid deployment. It also enables seamless updates and upgrades, ensuring that users have access to the features and functionalities.


Figure 1: Global Embedded Analytics Market, by Deployment, 2022 & 2032 (USD Billion)

Global Embedded Analytics Market, by Deployment, 2022 & 2032

Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review

Embedded Analytics Regional Insights


By region, the study provides market insights into North America, Europe, Asia-Pacific, and the Rest of the World. The North American Embedded Analytics market area will dominate this market due to the presence of major technology companies has contributed to the rapid adoption of embedded analytics in this region. Additionally, the rising popularity of cloud-based analytics solutions and the focus on digital transformation drive embedded analytics growth in this region.


Further, the major countries studied in the market report are The US, Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.


Figure 2: GLOBAL EMBEDDED ANALYTICS MARKET SHARE BY REGION 2022 (USD Billion)

GLOBAL EMBEDDED ANALYTICS MARKET SHARE BY REGION 2022

Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review

Europe's Embedded Analytics market accounts for a significant market share due to the advanced technologies and the growing emphasis on data-driven decision-making. The European Union has also played a crucial role in promoting embedded analytics by ensuring data privacy and security for businesses and consumers. Further, the German Embedded Analytics market held the largest market share, and the UK Embedded Analytics market was the rapid-growing market in the European region.


The Asia-Pacific Embedded Analytics Market is expected to grow at the fastest CAGR from 2023 to 2032. It is due to the rapid digitalization of businesses, the proliferation of smartphones, and the availability of affordable internet connectivity. Moreover, the region's vast population and the increasing adoption of IoT devices generate massive amounts of data, creating opportunities for embedded analytics solutions to extract actionable insights. Moreover, China’s Embedded Analytics market held the largest market share, and the Indian Embedded Analytics market was the rapid-growing market in the Asia-Pacific region.


Embedded Analytics Key Market Players & Competitive Insights


Leading market players are investing heavily in research and development to expand their product lines, which will help the Embedded Analytics market grow even more. Market participants are also undertaking several strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, the Embedded Analytics industry must offer cost-effective items.


Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the global Embedded Analytics industry to benefit clients and increase the market sector. In recent years, the Embedded Analytics industry has offered some of the most significant advantages to medicine. Major players in the Embedded Analytics market, including Microsoft Corporation (US), IBM (US), Oracle Corporation (US), MicroStrategy Incorporated (US), Tableau Software (US), TIBCO Software (US), SAP SE (Germany), SAS Institute (US), Birst (US), Logi Analytics (US), Oracle Corporation (US), Tableau Software (US), TIBCO Software (US), Birst (US), and others, are attempting to increase market demand by investing in research and development operations.


Vivek Ranadivé’s TIBCO Software Inc., founded in 1997, and located in California, United States, is an American business intelligence software company. Its products include business intelligence, data visualization, analytics, and big data tools. It develops software for business, business-to-consumer, and business-to-employee applications. In July 2022, TIBCO Software launched significant changes in TIBCO cloud integration, its industry-recognized iPaaS offering, which spreads the potential for integrating applications and data across hybrid environments, assisting customers grappling with volatile change business outcomes. It delivers remarkably faster automation of business processes and integration of digital assets around the enterprise.


Larry Ellison, Bob Miner, and Ed Oates's Oracle Corporation, founded in 1977 in Austin, Texas, United States, is an American global computer technology that sells database software & technology, cloud-engineered systems, customer relationship management, and many more. In June 2019, Oracle launched an Analytical solution that offers customers Al-powered, self-service analytic abilities for data preparation, conception, reporting, enhanced analysis, and natural language processing.


Key Companies in the Embedded Analytics market include




  • Microsoft Corporation (US.)




  • IBM (US.)




  • Oracle Corporation (US.)




  • MicroStrategy Incorporated (US.)




  • Tableau Software (US.)




  • TIBCO Software (US.)




  • SAP SE (Germany)




  • SAS Institute (US.)




  • Birst (US.)




  • Logi Analytics (US.)




  • Oracle Corporation (US.)




  • Tableau Software (US.)




  • TIBCO Software (US.)




  • Birst (US.)




Embedded Analytics Industry Developments


August 2022: SAS and SingleStore have announced a collaboration to help organizations remove barriers to data access, maximize performance and scalability, and uncover key data-driven insights. SAS Viya with SingleStore enables using SAS analytics and Al technology on data stored in SingleStore's cloud-native real-time database. The integration provides flexible, open access to curated data to help accelerate value for cloud, hybrid, and on-premises deployments.


Embedded Analytics Market Segmentation


Embedded Analytics Component Outlook




  • Software




  • Service




Embedded Analytics Service Outlook




  • Professional Service




  • Managed Service




Embedded Analytics Application Outlook




  • IT




  • Human Resource




Embedded Analytics Deployment Outlook




  • Cloud




  • On-Premise




Embedded Analytics Regional Outlook




  • North America






  • US




  • Canada






  • Europe






  • Germany




  • France




  • UK




  • Italy




  • Spain




  • Rest of Europe






  • Asia-Pacific




    • China




    • Japan




    • India




    • Australia




    • South Korea




    • Australia




    • Rest of Asia-Pacific






  • Rest of the World




    • Middle East




    • Africa




    • Latin America





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