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Industry Landscape

The technology consulting industry is experiencing rapid growth, driven by increasing adoption of AI, cloud, and digital transformation initiatives. Companies are seeking specialized expertise to navigate complex technological landscapes, optimize operations, and drive innovation. The focus is shifting towards integrated solutions, data-driven strategies, and talent augmentation to bridge skill gaps.

Industries:
AICloud ComputingDigital TransformationSaaSProduct Development

Total Assets Under Management (AUM)

IT Services Market Size in United States

~Approx. $647.7 billion USD (2024)

(7.9% (2024) CAGR)

Growth driven by digital transformation consulting, cloud infrastructure services, and increasing demand for cybersecurity solutions. AI and automation are key contributors to expansion.

Total Addressable Market

Approx. $647.7 billion

Market Growth Stage

Low
Medium
High

Pace of Market Growth

Accelerating
Deaccelerating

Emerging Technologies

Generative AI

Generative AI, particularly large language models (LLMs), is transforming content creation, code generation, and complex problem-solving by producing novel outputs from diverse data.

Edge Computing

Edge computing processes data closer to its source, reducing latency and enabling real-time analytics for IoT devices and decentralized applications.

Quantum Computing

Quantum computing is an emerging field that utilizes quantum-mechanical phenomena to solve complex problems currently intractable for classical computers, offering unprecedented computational power.

Impactful Policy Frameworks

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

This proposed federal privacy law aims to create a comprehensive national standard for data privacy, superseding various state laws and granting individuals new rights over their personal data, including data access, correction, and deletion.

This policy would standardize data handling requirements across states, reducing compliance complexity but increasing the need for robust data governance and privacy-by-design in all digital solutions for Digitivy and its clients.

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

NIST published a voluntary framework to help organizations better manage the risks associated with designing, developing, deploying, and using AI systems, focusing on trustworthiness, accountability, and transparency.

This framework encourages ethical AI development and deployment, which will influence Digitivy's AI advisory and development practices to ensure clients build responsible and compliant AI solutions.

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

This broad executive order directs federal agencies to establish new standards for AI safety and security, promote innovation, protect privacy, and ensure responsible AI development across various sectors.

The Executive Order will likely drive increased demand for Digitivy's AI advisory and development services, focusing on compliance, security, and ethical considerations for AI systems developed for or by their clients.

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