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The Customer Intelligence and Voice of Customer (VoC) software industry is experiencing rapid growth, driven by increasing demand for AI-powered insights from unstructured data. Companies are prioritizing customer-centric strategies, leading to higher adoption of platforms that unify feedback, automate analysis, and provide actionable intelligence for product development and CX improvement. Generative AI is a key differentiator.
Total Assets Under Management (AUM)
Customer Experience Management (CXM) Software Market Size in United States
~$10.4 Billion (2023)
(17.7% CAGR)
- Driven by digital transformation and focus on customer retention.
- Increased adoption of cloud-based CXM solutions.
- Integration of AI and machine learning for deeper insights.
10.4 Billion USD
Advanced generative AI models moving beyond summarization to actively infer nuanced sentiment, predict trends, and even draft responses or product requirements from unstructured feedback.
AI systems capable of processing and integrating feedback from diverse modalities like text, audio, video, and behavioral data to provide a holistic customer view.
Decentralized machine learning approach allowing models to be trained on local data sources without centralizing sensitive customer information, enhancing privacy and security.
Building on CCPA, CPRA strengthens consumer data privacy rights in California, including rights to correct personal information, limit the use and disclosure of sensitive personal information, and expands enforcement capabilities.
Enterpret must ensure robust data governance, consent management, and data portability features to comply with consumer rights, affecting data handling and storage practices.
A proposed federal privacy law aiming to create a national standard for data privacy, encompassing aspects like data minimization, opt-out rights, and stricter rules for sensitive data, with implications for all businesses operating in the U.S.
If enacted, ADPPA would standardize data privacy requirements across states, simplifying compliance for Enterpret but necessitating adherence to potentially more stringent federal data processing and retention policies.
A framework from the White House outlining five principles for the design, use, and deployment of automated systems, focusing on safe and effective systems, algorithmic discrimination protections, data privacy, notice and explanation, and human alternatives/fallback.
Enterpret's AI models, especially those processing sensitive customer feedback, must adhere to principles of fairness, transparency, and accountability, potentially requiring explainable AI features and bias detection mechanisms.
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