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Industry Landscape
The AI IT Operations (AIOps) market is rapidly expanding, driven by the increasing complexity of IT environments, especially cloud-native and Kubernetes infrastructures. Companies are seeking intelligent solutions to reduce downtime, automate incident resolution, and improve operational efficiency. The integration of Agentic AI and LLMs is revolutionizing the space, moving from reactive monitoring to proactive, predictive, and prescriptive operations.
Total Assets Under Management (AUM)
AIOps Platform Market Size in United States
~Estimated $4.4 Billion in 2023
(29.2% CAGR)
- Cloud-native adoption drives AIOps.
- Automation and proactive insights are key.
- AI/ML advancements accelerate growth.
Total Addressable Market
19.3 Billion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Agentic AI Frameworks
Next-generation Agentic AI frameworks will enable more autonomous, goal-oriented AI systems that can reason, plan, and execute complex IT operations tasks with minimal human intervention.
Explainable AI (XAI) in AIOps
XAI will provide transparency into AI's decision-making process for incident root cause analysis and remediation, building trust and enabling IT teams to understand and validate AI-driven actions.
Federated Learning for Cross-Organizational AIOps
Federated learning will allow AIOps platforms to learn from diverse IT operational data across multiple organizations without sharing raw data, enhancing anomaly detection and predictive capabilities while preserving data privacy.
Impactful Policy Frameworks
NIST AI Risk Management Framework (AI RMF 1.0, 2023)
The National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF 1.0) provides a voluntary framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI).
This policy encourages businesses like unSkript to adopt responsible AI development practices, potentially requiring enhanced transparency, explainability, and fairness in their AI models to mitigate risks and build customer trust.
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)
President Biden's Executive Order on AI sets new standards for AI safety and security, protecting Americans' privacy, advancing equity and civil rights, standing up for consumers and workers, promoting innovation and competition, and advancing American leadership around the world.
This broad executive order could lead to future regulations on data governance, cybersecurity, and the ethical use of AI in critical infrastructure, directly influencing unSkript's product development and compliance requirements for its AIOps platform.
State Data Privacy Laws (e.g., California Privacy Rights Act - CPRA, 2023)
The California Privacy Rights Act (CPRA), which became fully effective in 2023, strengthens consumer data privacy rights in California, including rights to correct inaccurate personal information and limit the use and disclosure of sensitive personal information.
While not AI-specific, these broad data privacy laws will require unSkript to ensure robust data anonymization, consent mechanisms, and secure handling of any personal or sensitive data processed by its AI models, especially when operating across diverse customer environments.
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