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.
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.
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.
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.
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.
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.
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.
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.
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.
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.)
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.
Software
Service
Professional Service
Managed Service
IT
Human Resource
Cloud
On-Premise
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
| Attribute/Metric | Details |
| Market Size 2023 | USD 36.73 Billion |
| Market Size 2024 | USD 42.16 Billion |
| Market Size 2032 | USD 110.82 Billion |
| Compound Annual Growth Rate (CAGR) | 12.84% (2024-2032) |
| Base Year | 2023 |
| Market Forecast Period | 2024-2032 |
| Historical Data | 2018- 2022 |
| Market Forecast Units | Value (USD Billion) |
| Report Coverage | Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends |
| Segments Covered | Component, Service, Application, Deployment, and Region |
| Geographies Covered | North America, Europe, Asia Pacific, and the Rest of the World |
| Countries Covered | The US, Canada, German, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil |
| Key Companies Profiled | 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.) |
| Key Market Opportunities | The increasing number of business applications |
| Key Market Dynamics | A rising number of data-driven companies |
Embedded Analytics Market Highlights:
Frequently Asked Questions (FAQ) :
The global Embedded Analytics market size was valued at USD 36.73 Billion in 2023.
The global market is projected to grow at a CAGR of 12.84% during the forecast period, 2023-2032.
North America had the largest share of the global market.
The key players in the market are 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).
The software category dominated the market in 2022.
The professional service had the largest share in the global market.
IT had the largest share of the global market.
The cloud had the largest share of the global market.
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Team Lead - Research she holds an experience of about 6+ years in market research and business consulting, working under the spectrum of information communication technology, telecommunications and semiconductor domains. aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.
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