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Industry Landscape
The enterprise AI software industry is experiencing rapid growth, driven by the increasing need for organizations to manage complex, distributed systems and leverage data for strategic decision-making. Focus areas include AI-powered automation, predictive analytics, and enhanced cybersecurity. The market is competitive, with established players and innovative startups vying for market share, particularly in solutions that offer scalability and resilience. Human-machine collaboration is a key trend, aiming to augment human capabilities through intelligent systems.
Total Assets Under Management (AUM)
Enterprise AI Software Market Size in United States
~Approximately $40 billion in 2023
(25-30% CAGR)
- Cloud adoption driving growth.
- Increased focus on automation.
- Demand for data-driven insights.
Total Addressable Market
Approximately $40 billion
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Federated Learning
Federated Learning enables AI models to be trained on decentralized datasets at the edge, enhancing data privacy and reducing reliance on central data repositories.
Explainable AI (XAI)
XAI provides transparency into AI decision-making processes, crucial for building trust and ensuring compliance in complex enterprise systems.
AI TRiSM
AI Trust, Risk, and Security Management (AI TRiSM) is a framework focused on ensuring AI model governance, reliability, fairness, and security throughout its lifecycle.
Impactful Policy Frameworks
NIST AI Risk Management Framework (AI RMF 1.0, 2023)
The NIST AI Risk Management Framework provides a voluntary framework for managing risks associated with artificial intelligence, focusing on trustworthy and responsible development and use.
This framework encourages GrokIt Data to integrate robust risk management and ethical AI practices into its solutions, potentially increasing adoption by risk-averse enterprises.
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)
This U.S. Executive Order mandates various actions across federal agencies to ensure the safe and responsible development and deployment of AI technologies, covering areas like safety, security, privacy, and equity.
This order will likely drive enterprise demand for AI solutions that can demonstrate compliance with new federal standards for safety, security, and privacy, directly benefiting GrokIt Data's secure and resilient offerings.
Cybersecurity and Infrastructure Security Agency (CISA) AI Safety & Security Guidance (Ongoing, 2024 updates)
CISA provides guidance on securing AI systems against malicious use and ensuring their safety and resilience within critical infrastructure, with ongoing updates reflecting emerging threats.
GrokIt Data's emphasis on cybersecurity within distributed systems will align well with CISA's focus, potentially increasing its appeal to sectors prioritizing infrastructure security.
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