Global Embedded Analytics Market Size, Share & Trends Analysis Report By Deployment (Cloud, and On-premise), By Enterprise Size, By Application, By End-user, By Regional Outlook and Forecast, 2024 - 2031

Global Embedded Analytics Market Size, Share & Trends Analysis Report By Deployment (Cloud, and On-premise), By Enterprise Size, By Application, By End-user, By Regional Outlook and Forecast, 2024 - 2031

The Global Embedded Analytics Market size is expected to reach $147.9 billion by 2031, rising at a market growth of 14.2% CAGR during the forecast period.

Embedded analytics enables these organizations to monitor and analyze real-time data, such as service usage, network traffic, and customer support metrics, helping them identify issues and implement solutions swiftly. Additionally, the growing adoption of 5G and cloud services has increased the demand for analytics tools that efficiently process vast amounts of data. As digital transformation accelerates in this sector, embedded analytics becomes increasingly pivotal in maintaining competitiveness and operational excellence. Thus, the IT & telecommunications segment procured 27% revenue share in the embedded analytics market in 2023.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In September, 2024, OpenText Cloud Editions (CE) 22.2 introduces innovations focused on empowering businesses with secure data access, advanced integrations with Microsoft Teams, AI-driven processes, and enhanced content governance. It aims to improve customer, partner, and employee experiences, boosting productivity across ecosystems. Additionally, In June, 2024, Sisense launched its GenAI-powered Analytics Chatbot and enhanced narration tools, enabling users to query data in natural language and receive actionable insights. The tools, easily embedded into apps, improve decision-making and operational efficiency, aligning with embedded analytics market trends.

Market Growth Factors

The proliferation of big data and the Internet of Things (IoT) in business operations necessitates advanced analytics tools. Organizations today generate vast amounts of data from various sources, including sensors, devices, social media, and transactional systems. This influx of data, while providing significant opportunities for insights, also creates challenges in processing, analyzing, and deriving actionable information efficiently.

Additionally, integrating artificial intelligence (AI) and machine learning (ML) into analytics tools has redefined the capabilities and applications of embedded analytics. AI-powered embedded analytics tools can automate the generation of insights by identifying patterns, correlations, and trends within datasets.

Market Restraining Factors

Developing and integrating embedded analytics tools into existing applications is not just a matter of deploying a solution; it entails a series of expenses that can quickly add up. Licensing costs for high-quality analytics software or platforms are typically substantial, particularly when advanced features or enterprise-level capabilities are required. For many, the perceived return on investment must significantly outweigh these upfront and ongoing expenses to justify the implementation. Hence, such factors may hamper the growth of the market.

Deployment Outlook

Based on deployment, the market is bifurcated into cloud and on-premise. The on-premise segment procured 37% revenue share in the market in 2023. Industries such as healthcare, banking, and government, which deal with sensitive information and strict regulatory frameworks, prefer on-premise deployments to maintain full control over their data and infrastructure.

Enterprise Size Outlook

On the basis of enterprise size, the market is classified into large enterprises and SMEs. The SMEs segment recorded 36% revenue share in the market in 2023. Cloud-based deployment models have been particularly influential, allowing SMEs to adopt scalable and cost-effective analytics tools without extensive IT infrastructure.

Application Outlook

By application, the market is divided into ERP/CRM, supply chain management, sales & marketing, logistics & delivery, and others. The ERP/CRM segment witnessed 28% revenue share in the market in 2023. Organizations increasingly rely on analytics embedded in ERP/CRM systems to gain real-time insights into operational efficiency, financial performance, and customer engagement.

End User Outlook

Based on end-user, the market is segmented into IT & telecommunications, retail & consumer goods, BFSI, manufacturing, healthcare, and others. The retail & consumer goods segment acquired 21% revenue share in the market in 2023. The retail and consumer goods segment have gained significant traction in the market, driven by the sector’s focus on enhancing customer engagement and optimizing supply chains.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Europe segment garnered 31% revenue share in the market in 2023. Embedded analytics tools that are both secure as well as compliant are becoming increasingly popular as a result of the General Data Protection Regulation (GDPR) and other severe data protection rules in the region.

Recent Strategies Deployed in the Market

• Oct-2024: SAP SE partnership with Mistral AI by integrating Mistral's language models into SAP Business AI, providing secure, customized AI solutions within SAP's infrastructure. This allows businesses to embed advanced AI while ensuring regulatory compliance and data sovereignty.
• Sep-2024: Sisense, Inc. has partnered with Funraise to enhance nonprofit fundraising through embedded analytics. This collaboration has led to a 700% increase in online revenue, 1.5x growth in recurring revenue, and a 12% improvement in donor retention, while streamlining data access and decision-making.
• Sep-2024: OpenText Cloud Editions (CE) 22.2 introduces innovations focused on empowering businesses with secure data access, advanced integrations with Microsoft Teams, AI-driven processes, and enhanced content governance. It aims to improve customer, partner, and employee experiences, boosting productivity across ecosystems.
• Jun-2024: Sisense launched its GenAI-powered Analytics Chatbot and enhanced narration tools, enabling users to query data in natural language and receive actionable insights. The tools, easily embedded into apps, improve decision-making and operational efficiency, aligning with embedded analytics market trends.
• Dec-2023: IBM Corporation acquired of StreamSets (DataOps platform) and webMethods (API and application integration) bolsters its data processing and integration capabilities. These tools enhance embedded analytics in real-time and batch data environments.
• Oct-2023: MicroStrategy, Inc. launched advancements in embedded analytics with the launch of Auto Express, a tool allowing users to build AI bots for embedding in applications. This highlights the increasing role of embedded analytics in enhancing data-driven decision-making.

List of Key Companies Profiled

• Sisense, Inc.
• Infor, Inc. (Koch Industries)
• MicroStrategy, Inc.
• Open Text Corporation
• SAP SE
• SAS Institute, Inc.
• Oracle Corporation
• Microsoft Corporation
• IBM Corporation
• Google LLC

Global Embedded Analytics Market Report Segmentation

By Deployment

• Cloud
• On-premise

By Enterprise Size

• Large Enterprises
• SMEs

By Application

• ERP/CRM
• Supply Chain Management
• Sales & Marketing
• Logistics & Delivery
• Other Application

By End-user

• IT & Telecommunications
• Retail & Consumer Goods
• BFSI
• Manufacturing
• Healthcare
• Other End-user

By Geography

• North America
• US
• Canada
• Mexico
• Rest of North America
• Europe
• Germany
• UK
• France
• Russia
• Spain
• Italy
• Rest of Europe
• Asia Pacific
• China
• Japan
• India
• South Korea
• Singapore
• Malaysia
• Rest of Asia Pacific
• LAMEA
• Brazil
• Argentina
• UAE
• Saudi Arabia
• South Africa
• Nigeria
• Rest of LAMEA