{"schemaVersion":1,"profileUrl":"https://nowen.ai/agents/sisense-com","markdownUrl":"https://nowen.ai/agents/sisense-com.md","jsonUrl":"https://nowen.ai/agents/sisense-com.json","name":"Sisense Ltd.","nickname":"Sisense","website":"https://sisense.com","industry":"Analytics","deliveryModel":"software","status":{"verified":false,"text":"Unclaimed: compiled by Nowen from public sources, not reviewed by the company"},"updatedAt":"2026-10-03T01:04:16.633Z","summary":"Sisense is an AI-powered embedded analytics platform that enables developers to embed secure, governed analytics into applications under their brand.","description":"Sisense is an AI-powered embedded analytics platform that enables developers and product teams to embed analytics and AI capabilities directly into their applications. The company’s mission is to empower app builders by delivering analytics that are accessible within branded product experiences, helping teams deliver data-driven insights to end users without leaving the application. Sisense serves software makers and organizations building customer-facing products, offering a scalable, secure way to connect data from multiple sources, model it, and present it through embedded analytics. The platform emphasizes a developer-first approach with APIs and software development kits, governance and security in multi-tenant environments, and the ability to ship analytics that match a brand’s look and feel. Sisense positions itself as a foundation for product-led analytics, designed to accelerate innovation and turn data into a competitive edge while maintaining control over definitions, metrics, and access. By grounding analytics in governed data and providing intuitive experiences such as customizable dashboards and narrated insights, Sisense aims to make analytics a natural part of product experiences across industries and company sizes. The result is a scalable, cloud-enabled solution that reduces time to insight, supports rapid iteration, and enables decision-makers to act on data with confidence.","mission":"We’re building a world where analytics fuel the applications that drive business forward.","directory":{"industryName":"Analytics","agentCount":42,"indexable":true,"hubUrl":"https://nowen.ai/industry/analytics"},"aiReaderFamilies":["Anthropic","Perplexity","Amazon"],"products":[{"name":"Sisense AI Analytics Platform","type":"Platform","url":"https://www.sisense.com/ai-analytics-platform/","summary":"Unlock actionable insights embedded directly into applications with Sisense AI analytics platform.","description":"Sisense AI analytics platform is a cloud-enabled analytics foundation that enables developers and product teams to embed AI powered analytics into applications. It supports code-first, low-code, and no-code approaches with Compose SDK and APIs to embed, customize, and scale analytics within products. The platform emphasizes governance, security, and multi-tenant isolation, enabling end users to ask questions, receive natural language explanations, and act on insights directly inside their workflows. It offers semantic enrichment, assistant interactions, and the ability to connect to external AI tools via MCP, delivering AI powered dashboards, narratives, and forecasts while keeping definitions and access under control.","pricing":{"text":"Pricing not published"},"features":[{"name":"AI-Powered Analytics","value":"Transform Questions Into Insights","valueDescription":"Empower users to interact with data naturally, elevating the analytics experience through AI-driven responses."},{"name":"Embedded Analytics","value":"Integrate Intelligence Directly","valueDescription":"Seamlessly incorporate insights into applications, driving engagement through embedded analytics."},{"name":"Governance and Security","value":"Ensure Data Security","valueDescription":"Maintain strict control over data access and governance, ensuring compliance and security in analytics."},{"name":"Hassle-free Maintenance","value":"Reduces Operational Burden","valueDescription":"Managed services ensure consistent performance and updates, allowing teams to focus on analytics rather than infrastructure."},{"name":"Proactive Support","value":"Ensures Continuous Operations","valueDescription":"Round-the-clock support and monitoring help prevent disruptions and improve user satisfaction."},{"name":"Secure Environment","value":"Protects Sensitive Data","valueDescription":"Robust security measures ensure data integrity and compliance, building trust with users."},{"name":"Assistant Support","value":"Enhance User Engagement","valueDescription":"Allow users to interact with analytics using plain language, making data insights more accessible and intuitive."},{"name":"Code-First Embedding","value":"Implement Quick Changes","valueDescription":"Developers can create dynamic queries, charts, and filters in real-time, adapting to changing data landscapes."},{"name":"Fusion Based","value":"Ensure Stability and Scale","valueDescription":"Utilizes a robust platform framework to deliver consistent performance and accommodate growth."},{"name":"Generative AI Insights","value":"Generate Actionable Insights","valueDescription":"Leverage advanced generative AI techniques to automate insights generation, predicting trends and patterns to enhance data-driven decision-making."},{"name":"200+ Connectors","value":"Connect Data Easily","valueDescription":"Access a diverse range of data sources seamlessly with over 200 connectors, enabling streamlined data integration and analysis."},{"name":"Live Connections","value":"Enable Real-Time Insights","valueDescription":"Leverage live connections to cloud data warehouses for real-time analytics without the headache of data duplication."},{"name":"Governance and Security","value":"Ensure Data Safety","valueDescription":"Governed access and strict security protocols protect your data and maintain compliance with industry standards."},{"name":"MCP External AI Connectivity","value":"Integrate AI Tools Securely","valueDescription":"Seamlessly connect AI tools with governed data models, ensuring secure and structured insights."},{"name":"Intuitive Data Modeling","value":"Simplifies Data Access","valueDescription":"Empowers users to easily model complex data systems without requiring extensive technical skills, enhancing productivity."},{"name":"APIs and SDKs for Embedding","value":"Embed Seamless Analytics","valueDescription":"Easily integrate analytics into applications, ensuring a consistent brand experience and functional flexibility."},{"name":"Semantic Enrichment","value":"Enhance AI Understanding","valueDescription":"Provide AI with the context needed to deliver accurate insights through enriched data semantics."},{"name":"Generative AI Insights","value":"Engage Users With AI","valueDescription":"Advance user experience through an interactive dialogue with AI, making analytics more accessible."},{"name":"Unlimited Scalability","value":"Facilitates Growth","valueDescription":"Adaptable resources allow organizations to grow without delays, ensuring performance remains optimal as demand increases."},{"name":"Framework Support","value":"Flexible and Versatile Integration","valueDescription":"Easily incorporate analytics across various web frameworks to suit diverse development environments."},{"name":"SDK Code Generation","value":"Accelerate Development Time","valueDescription":"Automates coding processes, allowing teams to focus on higher-level tasks and innovation."},{"name":"AI Integrations","value":"Enhance Analytics Capabilities","valueDescription":"Integrate AI technologies to turn data into actionable insights more effectively."},{"name":"Governed Analytics","value":"Ensure Metric Consistency","valueDescription":"Utilize a robust semantic layer to maintain consistent metrics and access controls, ensuring reliable analytics across all user interactions."},{"name":"In-Product AI","value":"Leverage AI Within Product","valueDescription":"Enable users to interact with their data through natural language queries and receive AI-driven insights directly within the product environment."},{"name":"Multi-Tenant Security","value":"Secure Multi-Customer Deployments","valueDescription":"Implement strong security measures, ensuring tenant isolation and safeguarding data across multiple customer instances."},{"name":"AI Powered Prep","value":"Automates Data Preparation","valueDescription":"Leverage AI to streamline the data preparation process, allowing users to focus on analytics while reducing manual tasks."},{"name":"Multi‑Source Integration","value":"Enhances Data Flexibility","valueDescription":"Combine and analyze data from different systems seamlessly, providing a comprehensive view for informed decision-making."},{"name":"Branded Visualizations","value":"Align with Brand Identity","valueDescription":"Create cohesive look and feel by customizing visualizations to adhere to your branding guidelines."},{"name":"Forecasting and Pulse","value":"Predicts Trends and Alerts","valueDescription":"Utilize advanced forecasting to project future trends and receive alerts for anomalies, helping users stay proactive in their decision-making."},{"name":"Natural Language Querying","value":"Enables Conversational Queries","valueDescription":"Empower users to interact with analytics through natural language inquiries, simplifying the data exploration process."},{"name":"Branding and Customization","value":"Personalize User Experience","valueDescription":"Customize analytics visuals and interactions, aligning them with the product's branding for a cohesive user journey."},{"name":"Seamless Collaboration","value":"Enhances Team Efficiency","valueDescription":"Facilitates data sharing across departments, improving decision-making and accountability."},{"name":"Designer-Developer Collaboration","value":"Streamline Development Process","valueDescription":"Enhances communication and reduces friction between teams to speed up the embedding of analytics."},{"name":"Custom Plugins","value":"Extend Functionality","valueDescription":"Develop unique functionalities that cater specifically to business needs and enhance the user experience."},{"name":"APIs and MCP Integration","value":"Integrate External AI Tools","valueDescription":"Seamlessly connect to third-party AI tools using APIs and the Multi-Cloud Platform (MCP) while maintaining strict governance over data access and metrics."},{"name":"Self-Service Analytics","value":"Empower Users to Analyze Data","valueDescription":"Provide users with the tools they need to explore data and generate their own insights independently within the embedded analytics platform."},{"name":"White-Labeling and Customization","value":"Customize Analytics Experience","valueDescription":"Brand the analytics experience to align with your product's aesthetics, utilizing customizable components and theming options."},{"name":"Embedded Notebooks","value":"Facilitates Advanced Analysis","valueDescription":"Perform sophisticated data analysis and transformations directly within Sisense, integrating findings seamlessly into your workflows."},{"name":"Automated Data Engineering","value":"Streamlines Workflow","valueDescription":"Reduce manual effort and improve efficiency by leveraging Sisense's automation capabilities in data handling."},{"name":"External AI Tool Integration","value":"Integrates AI Tools Seamlessly","valueDescription":"Facilitate effective collaboration by connecting your Sisense data to the AI tools your users already rely on, enhancing analytic workflows."},{"name":"Narratives and Explanations","value":"Provides Clear Explanations","valueDescription":"Transform complex data into understandable narratives that clearly explain the drivers of the metrics, enhancing user comprehension."},{"name":"Perspectives","value":"Customizes User Experience","valueDescription":"Create personalized data views while maintaining a unified data model, catering to specific user needs without duplication."},{"name":"Integration with Customizable Dashboards","value":"Customizes User Experience","valueDescription":"Allow users to personalize their analytics experiences, driving engagement and usability through tailored dashboard options."},{"name":"Release Notes","value":"Stay Updated","valueDescription":"Frequent updates help users leverage the latest features and enhancements, ensuring optimal performance."}]}],"audiences":[],"segments":[{"name":"Embedded analytics","description":"Embedding interactive, branded, and role-based analytics into customer-facing applications to deliver real-time insights, AI-powered recommendations, and scalable in-product dashboards for ISVs and product teams.","size":23.4,"cagr":15.8,"color":1,"productNames":["Sisense AI Analytics Platform"],"methodology":"Primary estimate based on a published projection (cited on embeddable.com) that the embedded analytics market grows from $23.4B (2025) to $101B (2035), implying ~15.8% CAGR. Supporting sources show smaller, earlier estimates (Reveal: $0.8B in 2019 to $1.3B in 2023 at ~10–15% CAGR) and a narrower IoT-embedded-analytics report with much higher CAGR (KBV: $1.4B in 2023 to $14.4B in 2031, 35.1%), indicating growth varies by scope and vertical.","citations":[{"url":"https://embeddable.com/blog/what-is-embedded-analytics","text":"\"the embedded analytics market is expected to grow from $23.4B in 2025 to nearly $101B by 2035.\""},{"url":"https://media.trustradius.com/product-downloadables/U8/OU/HG8NTL2PV2RZ.pdf","text":"\"Embedded analytics market is valued at $800 million in 2019 and is projected ... to reach an estimated $1.3 billion market in 2023\""},{"url":"https://www.kbvresearch.com/embedded-analytics-in-iot-devices-market/","text":"\"2023 USD 1.4 Billion 2031 USD 14.4 Billion CAGR 35.1%\""}]},{"name":"Augmented analytics","description":"AI-driven insight generation, natural-language querying, and agent automation that surface answers and recommendations from behavioral data.","size":16.6,"cagr":25,"color":2,"productNames":["Sisense AI Analytics Platform"],"methodology":"Estimates based on published market reports in the search results: ResearchAndMarkets (via GlobeNewswire) reports an estimated market value of USD 16.6 billion in 2023 and a 28.0% CAGR to 2030; Mordor Intelligence projects USD 41.87 billion in 2025 and a 23.17% CAGR to 2030. I use the 2023 reported size (16.6B) and a midpoint CAGR (~25%) between the reported 23.2% and 28.0% to express growth potential.","citations":[{"url":"https://www.globenewswire.com/news-release/2024/11/19/2983859/28124/en/augmented-analytics-market-analysis-report-2024-2030-increasing-industry-wide-adoption-positions-augmented-analytics-as-a-game-changer-in-data-analysis.html","text":"Estimated Market Value (USD) in 2023 $16.6 Billion"},{"url":"https://www.mordorintelligence.com/industry-reports/augmented-intelligence-market","text":"Market Size (2025) USD 41.87 Billion; Market Size (2030) USD 118.72 Billion; Growth Rate (2025 - 2030) 23.17%"}]},{"name":"Enterprise semantic layer","description":"Centralized semantic definitions and reusable business logic that deliver consistent, governed metrics across BI tools, AI agents, and applications to enable metric portability and BI modernization.","size":1.5,"cagr":28,"color":3,"productNames":["Sisense AI Analytics Platform"],"methodology":"Search results show the enterprise semantic layer is positioned as a newly critical layer for enterprise AI and analytics (AtScale blogs, AtScale 2026 State report mention, CDOTrends article, Digetiers thought leadership), indicating accelerating demand but no explicit TAM figures in the provided results. Using internal market reasoning: treat the semantic layer as a specialized enterprise-software segment (SaaS/managed) addressing large enterprises. A conservative sizing assumption: a near-term commercial base of ~10,000 mid-to-large enterprise customers adopting paid semantic-layer solutions (or modules of larger platforms) with average vendor spend of roughly $100–200k/year yields an approximate market of $1.0–2.0B (midpoint ~$1.5B). Growth potential (CAGR ~28%) reflects rapid adoption driven by generative/agentic AI needs for governed, portable metrics, strong vendor investment and partnerships (AtScale integrations with Snowflake/Databricks/etc.), and comparisons to adjacent high-growth subsegments (metadata/knowledge-graph/AI-governance tooling), which have shown multi‑decade-high growth rates as enterprises operationalize AI.","citations":[]},{"name":"Embedded analytics and white-labeling","description":"Embed real-time dashboards, KPIs, and zero-click insights into web, mobile, and products via APIs and white-labeled delivery to surface analytics inside customer workflows.","size":77.52,"cagr":27.35,"color":4,"productNames":["Sisense AI Analytics Platform"],"methodology":"Estimate uses an explicit 2026 embedded-analytics market figure from an industry article (77.52 billion USD) and a high-growth CAGR from a syndicated market report on augmented/AI-driven analytics (27.35%). Augmented analytics overlaps with embedded and white-label use cases, so the Mordor CAGR is applied as representative growth potential while the Querio figure is used for the current market-size estimate.","citations":[{"url":"https://querio.ai/articles/embedded-analytics-platforms-comparison-best","text":"In 2026, embedded analytics is a must-have for SaaS products, with the market expected to reach $77.52 billion."},{"url":"https://www.mordorintelligence.com/industry-reports/augmented-analytics-market","text":"Estimated to grow to USD 127.18 Billion by 2031, at a CAGR of 27.35%."}]}],"faq":[],"comparisons":[],"sources":[{"url":"https://sisense.com","text":"Sisense Ltd."},{"url":"https://www.sisense.com/ai-analytics-platform/","text":"Sisense AI Analytics Platform"},{"url":"https://embeddable.com/blog/what-is-embedded-analytics","text":"\"the embedded analytics market is expected to grow from $23.4B in 2025 to nearly $101B by 2035.\""},{"url":"https://media.trustradius.com/product-downloadables/U8/OU/HG8NTL2PV2RZ.pdf","text":"\"Embedded analytics market is valued at $800 million in 2019 and is projected ... to reach an estimated $1.3 billion market in 2023\""},{"url":"https://www.kbvresearch.com/embedded-analytics-in-iot-devices-market/","text":"\"2023 USD 1.4 Billion 2031 USD 14.4 Billion CAGR 35.1%\""},{"url":"https://www.globenewswire.com/news-release/2024/11/19/2983859/28124/en/augmented-analytics-market-analysis-report-2024-2030-increasing-industry-wide-adoption-positions-augmented-analytics-as-a-game-changer-in-data-analysis.html","text":"Estimated Market Value (USD) in 2023 $16.6 Billion"},{"url":"https://www.mordorintelligence.com/industry-reports/augmented-intelligence-market","text":"Market Size (2025) USD 41.87 Billion; Market Size (2030) USD 118.72 Billion; Growth Rate (2025 - 2030) 23.17%"},{"url":"https://querio.ai/articles/embedded-analytics-platforms-comparison-best","text":"In 2026, embedded analytics is a must-have for SaaS products, with the market expected to reach $77.52 billion."},{"url":"https://www.mordorintelligence.com/industry-reports/augmented-analytics-market","text":"Estimated to grow to USD 127.18 Billion by 2031, at a CAGR of 27.35%."}]}