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Industry Landscape
The AI Solutions industry is experiencing rapid growth, driven by increasing adoption across various sectors. Companies are leveraging AI for automation, efficiency, and data-driven insights. Generative AI and custom AI applications are key trends, though integration complexities and data readiness remain challenges.
Total Assets Under Management (AUM)
Artificial Intelligence Market Size in United States
~250-300 billion USD
(37.3% CAGR)
- Driven by increasing AI adoption across industries.
- Significant investment in GenAI and custom solutions.
- Growing demand for AI-powered automation.
Total Addressable Market
1.3 trillion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Agentic AI
AI systems capable of autonomous decision-making, planning, and execution across complex workflows, often interacting with other AI agents or systems.
Multimodal AI
AI models that can process and understand information from multiple modalities, such as text, image, audio, and video, simultaneously.
TinyML/Edge AI
The deployment of machine learning models on very low-power, resource-constrained devices at the edge of the network, enabling real-time, on-device inference.
Impactful Policy Frameworks
NIST AI Risk Management Framework (AI RMF 1.0, 2023)
The National Institute of Standards and Technology (NIST) released the AI Risk Management Framework to help organizations manage the risks associated with designing, developing, deploying, and using AI systems.
This framework impacts ThirdEye Data by providing a standardized approach for managing AI risks, which can be integrated into their development processes to assure clients of responsible AI deployment.
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)
President Biden issued an executive order directing federal agencies to establish new standards for AI safety and security, including requirements for developers to share safety test results and standards for critical infrastructure.
This order will likely increase the compliance burden for ThirdEye Data and its clients, requiring more rigorous testing and transparency in AI development, particularly for sensitive applications.
Proposed American Data Privacy and Protection Act (ADPPA, 2022/2023 sessions)
While not yet law, the ADPPA is a comprehensive bipartisan federal privacy bill that would establish a national data privacy standard, including new consumer rights over their data and restrictions on data collection and use.
If enacted, the ADPPA would significantly impact ThirdEye Data's data handling practices and those of its clients, potentially requiring changes in data engineering and processing to ensure compliance with stricter data privacy rules.
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