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Industry Landscape

The Generative AI market is experiencing explosive growth, driven by advancements in large language models (LLMs) and increased enterprise adoption. Focus is shifting towards secure, customizable, and integrated platforms that address data privacy and vendor lock-in concerns. Competition is intense, with new players and established tech giants vying for market share, pushing innovation in specialized applications and industry-specific solutions.

Industries:
Generative AIEnterprise AIAI SecurityAI ProductivitySaaS

Total Assets Under Management (AUM)

Generative AI Market Size in United States

~37.1 billion USD

(36.5% CAGR)

- This rapid growth is fueled by increasing demand for AI-powered content creation, automation, and enhanced productivity across industries.

- Advancements in AI models and accessible platforms are key drivers.

- Enterprises are heavily investing in secure and integrated GenAI solutions.

Total Addressable Market

37.1 billion USD

Market Growth Stage

Low
Medium
High

Pace of Market Growth

Accelerating
Deaccelerating

Emerging Technologies

Edge AI for GenAI

Processing generative AI models directly on user devices or local servers, reducing latency and enhancing data privacy.

Multi-Modal AI Integration

Combining text, image, audio, and video generation capabilities within a single, cohesive AI platform for richer content creation.

Federated Learning for LLMs

Training and fine-tuning large language models across decentralized user data without centralizing raw information, improving privacy and customization.

Impactful Policy Frameworks

Biden Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)

This executive order (October 2023) directs federal agencies to establish new standards for AI safety and security, protect privacy, advance equity, and promote competition.

This policy will likely lead to stricter requirements for AI model safety, security, and data privacy, pushing SkyDeck AI to ensure its platform meets evolving federal guidelines.

National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF 1.0) (2023)

The NIST AI RMF (January 2023) provides voluntary guidance for organizations to manage risks associated with AI, promoting trustworthy and responsible AI development and use.

While voluntary, this framework sets industry best practices that SkyDeck AI can leverage to demonstrate its commitment to responsible AI, potentially influencing future contractual obligations.

American Data Privacy and Protection Act (ADPPA) (Proposed, 2022)

Though not yet law, the ADPPA (proposed 2022) aims to create a comprehensive federal data privacy law in the US, establishing individual data rights and setting obligations for data handlers.

If enacted, this legislation would significantly impact how SkyDeck AI handles and processes user data, potentially requiring adjustments to data collection, usage, and sharing practices to ensure compliance.

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