Find stats on top websites
Industry Landscape
The Edge AI, Computer Vision, and Robotics industry is experiencing rapid growth, driven by increasing demand for automation, real-time data processing, and intelligent systems. It's characterized by continuous innovation in hardware and software, moving intelligence closer to the data source. Open-source ecosystems and cloud platforms play a crucial role in fostering development and deployment across diverse sectors.
Total Assets Under Management (AUM)
Edge AI Hardware Market Size in United States
~11.1 billion USD (2023)
(23.4% CAGR)
- Driven by demand for faster processing and lower latency.
- Increased adoption in industrial IoT and smart applications.
- Proliferation of AI-powered devices at the edge.
Total Addressable Market
11.1 billion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Federated Learning for Edge AI
Federated learning allows AI models to be trained on decentralized edge devices without centralizing raw data, enhancing privacy and data security.
Neuromorphic Computing
Neuromorphic chips mimic the human brain's structure to enable ultra-low power, event-driven AI processing, ideal for always-on edge applications.
Generative AI for Synthetic Data Generation
Generative AI can create highly realistic synthetic datasets for training vision models, reducing reliance on costly and privacy-sensitive real-world data collection.
Impactful Policy Frameworks
National AI Initiative Act of 2020 (NAIIA)
The National AI Initiative Act of 2020 (NAIIA) established a coordinated program across federal agencies to accelerate AI research and development, ensure U.S. leadership in AI, and prepare the workforce.
This policy fosters an environment conducive to AI innovation, potentially increasing funding and opportunities for companies like Luxonis by promoting AI adoption across various sectors.
NIST AI Risk Management Framework (AI RMF 1.0) 2023
The NIST AI Risk Management Framework (AI RMF 1.0) 2023 provides a voluntary framework for organizations to manage risks associated with the design, development, use, and evaluation of AI products, services, and systems.
The AI RMF will push Luxonis and its customers to integrate robust risk management practices into their AI deployments, ensuring greater transparency, fairness, and accountability in their vision systems.
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)
This executive order directs extensive actions across government to ensure AI is developed and used safely, securely, and responsibly, covering areas like safety standards, privacy, equity, and competition.
This comprehensive executive order will likely lead to stricter guidelines for AI system development and deployment, requiring Luxonis to ensure its solutions meet evolving safety, security, and privacy standards to remain competitive.
Transform Your Ideas into Action in Minutes with WaxWing
Sign up now and unleash the power of AI for your business growth
