Embedded Analytics Market Synopsis

Global Embedded Analytics Market Size Was Valued at USD 21.37 Billion in 2024 and is Projected to Reach USD 80.39 Billion by 2032, Growing at a CAGR of 18.5 % From 2025-2032.

Embedded analytics involves the element of data visualizations and analytical capabilities in an extra software application. It currently offers reports and real-time interfaces whereby the user can analyze data of the software through the platforms. These solutions allow organizations to increase the value of sales offered to their clientele, thereby generating more income from prospect upselling, and shifting focus into reinforcing their basic platforms. Embedded Analytics is an application that enables enhanced business intelligence and analysis of data with more straightforward integration for the firm. Several companies are moving to embedded analytics because business applications and BI tools are integrated into a single suite in today’s systems. Compared to conventional adaptations of business analysis, these analytics have been shown to deliver better solutions to questions. Thanks to this, the tools of embedded analytics can handle expandable data, derived from wide-spectrum data domains specific to individual enterprises. Some instances of business applications that utilize it are enterprise resource planning systems (ERP) and customer research engagement (CRM) among others.

The advancement of deep learning technologies and machine learning, the continuous demand for data security and compliance, and the trend of self-service analytics, whereby, users can develop their reports without the help of IT teams are considered to be the driving forces in the market. With a focus on converting raw data into insights that are intercepted within business applications, embedded analytics opens the door for optimal opportunity in terms of efficiency and customer satisfaction and a formidable position against the competition. , and visual workflows, on-premise and/or cloud and hybrid embedded BI service providers’ additional value-added offerings comprise customers-end tooling, static and dynamic, and documented and real-time presentation. Technology is anticipated to continue making great leaps in the future of embedded systems, whereby several changes are likely to occur in terms of design, development, and quality standards in marketing the products over their life cycle. Some of the trends in the development of embedded systems and solutions are the development and deployment of open-source technology, the early integration of security concepts in embedded systems, the inclusion of multiple connectivity options in the new systems, and the implementation of algorithms. It is possible to identify the following trends in the current technology: defect management, cloud connectivity, security, low-power design, and interacting with machine learning. Thus, one can state that the appearance of technological advancement for embedded analytics is indicative of a favorable scenario for the growth of the market.

Embedded Analytics Market Trend Analysis

Utilization of ML and AI Algorithms in Analytics to Accelerate Market Development

• ML and AI solutions are used to incorporate numerous operations of analytics work, including data preprocessing, data depicting, and analysis. Through the use of Machine learning (ML) and analytics enabled by Artificial intelligence (AI), the number of people needed for businesses to decipher and oversee information is significantly decreasing.
• These algorithms help in enabling or presenting data fabric competencies, wise company data indexes, self-help data formation, artificial intelligence data redemption, and several other aspects that improve the user experience while engaging with data administration and data analysis systems. All of them support the idea of optimization, future forecasts, and the presence of automation systems. Consequently, expectations have risen toward the systems powered by AI, and AI will increase its evolution to make it more scalable and reliable. Consequently, many market members enhance their offerings of products and services with complex solutions containing various techniques, such as machine learning and artificial intelligence.

Increased demand for customized analytics solutions will propel market expansion.

• It is important for organizations to develop measures to provide sophisticated operator interfaces, which do not consist of framed graphs, to support the consumption of insights at a practical level. Thus, to satisfy the growing number of data consumers, there have been improvements in these applications, making them more sophisticated and (or) engaging.
• Customizable analytics options allow for the adaptation of dashboards to better suit the needs of the organization. They help organizations decide whether to present information gathered from within the organization or from external sources or both. These solutions allow the creation of dimensions and measures aligned with their business needs as a way of allowing them to focus on data that is relevant to their operations.
• Custom visualizations help organizations to identify the best solutions, as well as communicate their analysis. In this regard, it is possible to note that using inconsistent, outdated, and inaccurate information can also be dangerous for the increasing value, strategy, and potential success of an organization. For example, many industry specialists have calculated that organizations and businesses can lose as much as ten to twelve million US Dollars per year. 9 million because of the insufficient good quality of the data. As a result, the market is experiencing a demand for and use of new, more specialized analytics-embedded platforms and tools.

Embedded Analytics Market Segment Analysis:

Embedded Analytics Market is segmented based on Deployment, Enterprise Type, Applications, And End-User.

By Enterprise Typ, SME segment is expected to dominate the market during the forecast period

• The market is segmented by enterprise type into two main groups: big business and small and medium-sized concerns (SMEs).
• Thus, the SME market is expected to o have the highest CAGR during the research period. More companies are implementing these analytics solutions due to the convenience that these possess, namely, with the possibility to adapt to the necessities of every company and enhance its productivity. More embraces of these tools and better integration of such tools into their currently used various applications are also other advantages. Different market actors are developing new solutions for further sale to SMEs. For instance, in April 2022, Indian banks such as ICICI Bank announced the new digital ecosystem that they developed for small, small, and medium enterprises and other clients. Due to such valuable opportunities as the integrated analytics and high-tech application, the new type of InstaBIZ application will be able to provide the individual with reminders according to his/her profile.
• The segment for large enterprises will prove lucrative; it will generate the highest revenue shares throughout the forecast period in 2022. As these solutions are capable of managing larger amounts of data, they are more likely to be implemented and used by large organizations. It provides larger organizations improved understanding of the data they process and store in tremendous amounts. Moreover, it also helps in the better utilization of big data sets that can lead to improved democratization for its efficacy in decision-making.

By Application, the supply chain management segment held the largest share in 2024

• The market has many functions which include ERP/CRM, supply chain management, sales, and marketing, logistics, and delivery, and additional functions of production planning and performance management.
• It is expected that the supply chain management sector will be the largest market revenue segment in 2024. Through the implementation of analytics solutions in the supply chain, it becomes possible for users to combine past consumption data with real-time market research to obtain demand forecasts that are much more precise and accurate than those that are likely to be generated by supply chain planners. Better demand forecasting helps in improving procurement costs and overall effectiveness in meeting the customers requirements. For instance, GEODIS and Yellowfin released a SaaS-embedded analytics application in supply chain analytics in June 2023. Now, customers of GEODIS in the Americas such as retail and e-commerce, transportation, customs brokerage, and warehousing can use this new utility.
• Industry insiders expect the ERP/CRM segment to post the highest CAGR during the forecast period. Hence, through the implementation of data analysis tools which are incorporated into the ERP platform without any disruption, organizations can make better decisions based on information gathered while accomplishing their business processes. For this reason, it will enhance the use of these solutions in enterprise resource planning (ERP) and customer relationship management (CRM) systems.

Embedded Analytics Market Regional Insights:

North America is Expected to Dominate the Market Over the Forecast period

• The turnover structure by region showed that, in 2024, North America remained a world leader in this market, with a 32%. 52% share. The region has been at the forefront of the integration of advanced technologies and solutions such as ERP, CRM, NLP, AI, and Machine Learning, among others. Some of the key market players or vendors are more focused on the United States market, such as Tableau Software LLC, Oracle, Microsoft, and Qlik, which identifies the reason for the growth of the market share. The survey among the industry experts shows that the US has a relatively largest share, which is 30%, of companies willing to implement such analytics in their activity.
• Also, it found out that more investors are based in this region than in any other region in the world and most of the partnerships and collaborations are also made in this area. For instance, MicroStrategy further cemented its partnership with Microsoft in June 2023 as it wanted to incorporate the enhanced analytical capabilities of MicroStrategy with the Azure OpenAI service to help enterprises drive the best results around the capability of their data.

Active Key Players in the Embedded Analytics Market

• Tableau Software, LLC (U.S.)
• Qlik (U.S.)
• Reveal (U.S.)
• Toucan (France)
• Oracle (U.S.)
• SAP (Germany)
• Microstrategy Incorporated (U.S.)
• IBM (U.S.)
• Looker (Google) (U.S.)
• Microsoft (U.S.),
• Other Active Players

Key Industry Developments in the Embedded Analytics Market:

• Oracle Netsuite announced earlier in October 2023, improved features of Netsuite Analytics Warehouse in a bid to deliver more useful information to clients. The updates are often referred to as being embedded and included in dashboards, more frequent data revives, better access to consume, and an improved method for financial data analysis.
• In March 2023, Embedded Analytics platforms Yellowbrick and Panintelligence declared their plans to enhance and speed up desktop and SaaS-based software applications. The goal of the alliance is to deliver these analytics as a set of building blocks that can be used to create an integrated data repository and bring it into an on-premises and SaaS cloud.