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Industry Landscape
The embedded analytics industry is experiencing robust growth, driven by the increasing demand for data-driven insights directly within business applications. SaaS companies are a primary driver, seeking to enhance product value and user engagement. Innovations in AI and multi-cloud capabilities are further accelerating its adoption, allowing for more intelligent and flexible analytical solutions. The market is competitive, with a focus on ease of integration, scalability, and predictable pricing models.
Total Assets Under Management (AUM)
Embedded Analytics Market Size in United States
~Approximately 7.4 billion USD
(15-20% CAGR)
Driven by rising adoption of SaaS platforms.
Increasing demand for self-service analytics.
Growth in AI and ML integration.
Total Addressable Market
10 billion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Generative AI for Data Insights
Generative AI can automatically create data narratives, suggest relevant visualizations, and even generate synthetic datasets for testing and training, drastically simplifying insight generation and exploration.
Multi-Cloud Analytics
The ability to seamlessly integrate and analyze data across various cloud providers (AWS, Azure, GCP) offers unparalleled flexibility, disaster recovery, and vendor lock-in avoidance for businesses.
Low-Code/No-Code Analytics Development
Platforms offering visual interfaces and pre-built components for analytics application development empower business users and product managers to create custom dashboards and reports without extensive coding knowledge.
Impactful Policy Frameworks
California Consumer Privacy Act (CCPA) - 2020
The CCPA grants California consumers new rights regarding their personal information, including the right to know, delete, and opt-out of the sale of their data, with amendments effective in 2023 via CPRA.
SaaS companies utilizing embedded analytics must ensure transparent data handling practices, provide opt-out mechanisms for data sale, and facilitate data access/deletion requests for their end-users.
NIST Privacy Framework - 2020
The National Institute of Standards and Technology (NIST) Privacy Framework provides a voluntary tool for improving privacy risk management, focusing on governance, control, and communication of privacy risks.
Adoption of this framework can help Qrvey and its SaaS clients build trust with customers by demonstrating robust privacy practices, especially crucial for multi-tenant data management.
Clarifying Lawful Overseas Use of Data (CLOUD) Act - 2018
The CLOUD Act allows U.S. law enforcement to compel U.S.-based technology companies to provide requested data stored on servers, regardless of whether the data is stored in the U.S. or in foreign countries.
This policy impacts data sovereignty concerns for Qrvey's international SaaS clients and their end-users, potentially requiring careful consideration of data storage locations and legal compliance.
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