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Industry Landscape
The hyperautomation market is experiencing rapid growth, driven by the increasing need for businesses to streamline operations and improve efficiency. Companies are adopting hyperautomation technologies to automate complex processes, reduce costs, and enhance customer experiences. AI and machine learning are playing a crucial role in enabling advanced automation capabilities, while low-code/no-code platforms are empowering citizen developers to participate in automation initiatives. The market is competitive, with both established RPA vendors and emerging players offering innovative solutions.
Total Assets Under Management (AUM)
Market Size in United States
~Market Size
(19.8% CAGR)
- Increased adoption of automation technologies across industries.
- Growing demand for AI-powered automation solutions.
- Focus on improving operational efficiency and reducing costs.
Total Addressable Market
Billions USD (estimation
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Agentic AI
Agentic AI represents a paradigm shift toward autonomous systems capable of complex decision-making and execution, moving beyond traditional task-based automation to more adaptive and intelligent workflows.
AI-Powered Hyperautomation
The convergence of AI with hyperautomation allows for more sophisticated process discovery and optimization, enabling businesses to identify and automate complex tasks that were previously unfeasible.
Advanced Low-Code/No-Code
Low-code/no-code platforms are evolving to include more advanced AI and automation capabilities, empowering citizen developers to create sophisticated automation solutions without extensive coding knowledge, thereby democratizing access to automation technology.
Impactful Policy Frameworks
California Consumer Privacy Act (CCPA)
The California Consumer Privacy Act (CCPA), enacted in 2018, grants California consumers broad rights over their personal data, including the right to know, the right to delete, and the right to opt-out of the sale of their personal information.
This law necessitates stringent data governance practices, directly impacting Atomatik's operations and requiring the platform to offer enhanced data security and compliance features to meet these requirements.
AI Risk Management Framework (NIST)
The NIST AI Risk Management Framework provides guidelines and best practices for managing risks associated with AI systems, focusing on trustworthy and responsible AI development and deployment.
This framework requires Atomatik to ensure its AI-driven automation solutions are developed and deployed ethically, with a focus on transparency, fairness, and accountability, potentially influencing its product development and marketing strategies.
Health Insurance Portability and Accountability Act (HIPAA)
The Health Insurance Portability and Accountability Act (HIPAA) of 1996 sets national standards for protecting sensitive patient health information from being disclosed without the patient's consent or knowledge.
These guidelines impact Atomatik by increasing the demand for automation solutions that can ensure compliance with data privacy and security requirements, especially in handling sensitive customer data, pushing Atomatik to enhance its compliance-focused features.
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