Find stats on top websites
Industry Landscape
The intelligent automation and enterprise software industry is experiencing rapid growth, driven by increasing demands for efficiency, personalization, and data-driven insights. Companies are adopting AI, machine learning, and advanced analytics to automate complex processes, enhance customer experience, and integrate disparate systems. The focus is on leveraging data to derive actionable intelligence and achieve measurable ROI, pushing for more sophisticated and integrated platforms.
Total Assets Under Management (AUM)
Enterprise Software Market Size in United States
~$589.6 Billion
(13.2% CAGR)
- Cloud-based solutions dominate growth.
- AI and machine learning integration is key.
- Strong demand for data analytics and automation.
Total Addressable Market
670 billion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Generative AI for Process Automation
Generative AI will enable intelligent automation platforms to dynamically create and adapt workflows, write integration code, and generate insights, significantly reducing manual configuration and accelerating deployment.
Composable Architecture (Packaged Business Capabilities - PBCs)
The adoption of composable architectures with PBCs will allow businesses to assemble and reassemble intelligent automation solutions from modular, reusable components, offering greater flexibility and faster time-to-market.
Explainable AI (XAI) in Automation
XAI will provide transparency into AI-driven automation decisions and predictions, building trust and facilitating compliance in complex enterprise processes, especially in regulated industries like finance.
Impactful Policy Frameworks
American Data Privacy and Protection Act (ADPPA) - Proposed
While not yet enacted, the ADPPA is a comprehensive federal privacy bill proposed in the US that aims to create a national standard for data privacy, superseding many state-level laws.
This policy, if enacted, would mandate stricter data handling, consent, and transparency requirements for Put It Forward and its enterprise clients, requiring significant adjustments to data integration and processing practices.
NIST AI Risk Management Framework (AI RMF) 2023
The National Institute of Standards and Technology (NIST) published its AI Risk Management Framework to help organizations manage risks associated with AI, promoting trustworthy and responsible AI systems.
Put It Forward will need to align its Agentic AI Orchestration and predictive analytics capabilities with the NIST AI RMF to ensure responsible development and deployment of AI solutions, which could become a competitive advantage for clients seeking compliant AI.
California Privacy Rights Act (CPRA) 2023
Effective January 1, 2023, the CPRA expanded on the California Consumer Privacy Act (CCPA), giving consumers more control over their personal information and establishing the California Privacy Protection Agency (CPPA).
This regulation directly impacts Put It Forward's Customer Data Platform (CDP) and data integration services, requiring clients to ensure their data processing adheres to enhanced consumer rights regarding data access, correction, and deletion.
Transform Your Ideas into Action in Minutes with WaxWing
Sign up now and unleash the power of AI for your business growth
