Find stats on top websites
The Sales Technology and MarTech industries are experiencing rapid growth, driven by AI-powered solutions for hyper-personalization and automation. Focus is on enhancing Go-To-Market strategies, improving sales efficiency, and integrating various tools. Compliance and data privacy remain key considerations for enterprises.
Total Assets Under Management (AUM)
Sales Engagement Platform Market Size in United States
~Approximately 2.3 billion USD (2023)
(15-20% CAGR)
- Driving factors include increased adoption of AI and automation tools.
- Focus on improving sales efficiency and personalization.
- Continued demand for integrated solutions with CRM and other sales tools.
2.3 billion USD
Advanced Generative AI models are moving beyond basic text generation to create highly personalized, context-aware content and synthesize complex insights from vast datasets, transforming how sales teams research and engage.
AI platforms are increasingly analyzing sales conversations and engagement data to provide real-time, personalized coaching, skill development, and performance optimization for sales professionals.
The integration of AI, RPA, and low-code/no-code platforms is enabling end-to-end automation of complex sales workflows, from lead generation and outreach to deal progression and follow-up, across disparate systems.
The CCPA (2020) grants California consumers extensive rights regarding their personal information, including the right to know, delete, and opt-out of sales. The CPRA (2023) expanded these rights, established the California Privacy Protection Agency (CPPA), and introduced new provisions for sensitive personal information and data minimization.
This necessitates robust data governance, consent mechanisms, and transparent data practices for any sales tech platform operating with Californian consumer data, impacting data sourcing and usage for personalization.
Released by the White House Office of Science and Technology Policy (OSTP), this non-binding framework outlines five principles for the design, use, and deployment of automated systems, emphasizing safety, protection from algorithmic discrimination, data privacy, notice and explanation, and human alternatives/oversight.
While non-binding, it sets a standard for ethical AI development and deployment, pressuring sales tech companies like Autobound to ensure their AI is fair, transparent, and user-controlled, especially regarding personalization and targeting.
The FTC has increasingly focused its enforcement efforts on deceptive and unfair practices involving AI, including misrepresentations about AI capabilities, biased algorithms, and privacy violations related to AI systems.
This means sales technology providers must be scrupulously honest about their AI's capabilities and actively work to mitigate bias in their algorithms, or risk significant fines and reputational damage.
Sign up now and unleash the power of AI for your business growth