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Industry Landscape

The IT and consulting industry, especially within AI and Cloud, is experiencing rapid growth driven by the imperative for digital transformation across all sectors. Businesses are increasingly adopting AI-centric cloud-native platforms to enhance efficiency, gain insights, and mitigate challenges like supply chain disruptions. The demand for specialized skills in areas like GenAI, Machine Learning, and robust cloud infrastructure is high, as companies seek strategic partnerships to navigate complex technological landscapes and maintain competitive advantage.

Industries:
Artificial IntelligenceCloud ComputingDigital TransformationIT ConsultingDevOps

Total Assets Under Management (AUM)

Cloud Computing Market Size in United States

~Approximately 200 billion USD

(15-20% CAGR)

- Infrastructure-as-a-Service (IaaS) forms the largest segment.

- Software-as-a-Service (SaaS) continues strong growth.

- Platform-as-a-Service (PaaS) also shows significant expansion.

Total Addressable Market

700 billion USD

Market Growth Stage

Low
Medium
High

Pace of Market Growth

Accelerating
Deaccelerating

Emerging Technologies

Generative AI (GenAI) Advancements

GenAI is rapidly evolving beyond large language models to include multi-modal AI, capable of generating diverse content formats like code, images, and video, revolutionizing creative industries and automation.

Edge Computing and Distributed Cloud

The proliferation of IoT devices and demand for real-time processing are driving compute and storage closer to data sources, reducing latency and enabling new applications at the network's edge.

Confidential Computing

Confidential computing protects data in use by performing computation in hardware-protected trusted execution environments, addressing critical security and privacy concerns for sensitive workloads in the cloud.

Impactful Policy Frameworks

NIST AI Risk Management Framework (2023)

The National Institute of Standards and Technology (NIST) released its AI Risk Management Framework in January 2023, providing voluntary guidance for organizations to manage risks associated with AI systems.

This framework impacts businesses by establishing best practices for responsible AI development and deployment, requiring Proxima Solutions to align its AI offerings with these standards to ensure client compliance and trust.

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

Issued in October 2023, this executive order directs federal agencies to establish new standards for AI safety and security, protect privacy, advance equity, and promote innovation in AI.

This order will likely lead to future regulations and standards that will directly influence how Proxima Solutions develops and deploys AI solutions, especially concerning data governance and ethical AI practices.

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

Though not yet enacted, the ADPPA is a comprehensive bipartisan federal privacy bill aiming to establish a national standard for data privacy, including data minimization, consent, and consumer rights.

If passed, this act would significantly alter data handling practices across all industries, requiring Proxima Solutions to ensure its cloud and AI solutions are designed with robust privacy-by-design principles.

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