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Industry Landscape
The AI software industry is experiencing rapid growth, driven by increased adoption across various sectors. Companies are leveraging AI for automation, predictive analytics, and enhanced decision-making. Focus areas include MLOps, explainable AI, and ethical AI development. Competition is intense with both established tech giants and innovative startups vying for market share, pushing continuous innovation and specialization.
Total Assets Under Management (AUM)
AI Software Market Size in United States
~Approximately 78.6 billion USD
(25-30% CAGR)
- Enterprise AI applications
- Cloud-based AI solutions
- Industry-specific AI platforms
Total Addressable Market
78.6 billion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Explainable AI (XAI)
XAI focuses on developing AI models whose results can be understood and interpreted by humans, crucial for building trust and accountability in AI systems.
MLOps Platforms
MLOps integrates machine learning, development, and operations to streamline the entire ML lifecycle, from experimentation and deployment to monitoring and governance.
Generative AI
Generative AI models are capable of generating new data similar to the data they were trained on, enabling new applications in content creation, design, and data augmentation.
Impactful Policy Frameworks
AI Risk Management Framework (AI RMF) 1.0 (NIST, 2023)
This voluntary framework provides guidance for organizations to manage risks associated with AI, promoting trustworthy and responsible AI development and deployment.
This framework encourages CoherenceAI to integrate risk management best practices into their ML lifecycle management solutions, enhancing their value proposition for clients seeking responsible AI.
Proposed EU AI Act (2021, expected finalization 2024)
While not yet finalized for the US market, this comprehensive regulation categorizes AI systems by risk level and imposes strict requirements, particularly on high-risk AI applications.
Although an EU policy, its global influence means CoherenceAI must anticipate potential similar regulations in the US, pushing for early adoption of explainability and robust governance features to serve multinational clients.
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (Biden-Harris Administration, 2023)
This broad executive order directs various federal agencies to establish standards, guidelines, and best practices for AI safety, security, and trustworthiness across different sectors.
This order signals a strong federal push for responsible AI, requiring CoherenceAI to ensure its solutions align with emerging government standards and prioritize data privacy, security, and ethical considerations for their enterprise clients.
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