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Industry Landscape
The AI industry is rapidly expanding, with a significant shift towards specialized, complex solutions beyond general-purpose models. Enterprises and research institutions are seeking bespoke AI to solve highly intricate problems, driving demand for cutting-edge algorithms and domain-specific expertise. Focus is on transformative applications in high-value sectors, moving from theoretical to practical, high-impact deployments. Ethical AI and explainability are also growing concerns.
Total Assets Under Management (AUM)
Artificial Intelligence Market Size in United States
~Approximately $120 billion (2022-2023 estimate)
(37.3% CAGR)
- AI market driven by big data and cloud adoption.
- Increased R&D investment across industries.
- Growing demand for automation and intelligent solutions.
Total Addressable Market
Approximately 400 billion
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Causal AI
Moving beyond correlation, Causal AI systems aim to understand cause-and-effect relationships, enabling more robust decision-making and explainability in complex scenarios.
Neuro-Symbolic AI
This hybrid approach combines the strengths of neural networks (pattern recognition) with symbolic reasoning (logic and knowledge representation) to create more robust, explainable, and generalizable AI.
Federated Learning for AI
Federated learning allows AI models to be trained on decentralized datasets at the edge, enhancing data privacy and security, which is critical for sensitive enterprise applications.
Impactful Policy Frameworks
Biden-Harris Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (October 2023)
This comprehensive executive order outlines new standards for AI safety and security, protects privacy, advances equity and civil rights, stands up for consumers and workers, promotes innovation and competition, and advances American leadership around the world.
This policy will drive demand for transparent, explainable, and secure AI solutions, which aligns directly with 9Q AI's focus on 'Complex AI' for high-value sectors.
NIST AI Risk Management Framework (AI RMF 1.0) (January 2023)
The National Institute of Standards and Technology (NIST) released a voluntary framework to help organizations better manage risks associated with artificial intelligence, focusing on trustworthy AI outcomes.
Organizations seeking complex AI solutions will increasingly require adherence to frameworks like NIST AI RMF, presenting an opportunity for 9Q AI to embed compliance features into their offerings.
State-level Data Privacy Laws (e.g., California Consumer Privacy Act - CCPA as amended by CPRA, Virginia CDPA, Colorado CPA, Utah UCPA, Connecticut CTDPA - ongoing implementations)
Various US states have enacted or are enacting comprehensive data privacy laws that grant consumers more rights over their personal data and impose obligations on businesses regarding data collection, use, and sharing.
These laws necessitate robust data governance and privacy-preserving AI techniques, which could be a differentiating factor for 9Q AI in handling sensitive client data for complex projects.
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