Industry Landscape
The data analytics consulting industry is experiencing robust growth driven by the increasing need for data-driven decision-making across all sectors. Businesses, regardless of size, are seeking external expertise to transform complex data into actionable insights, optimize operations, and gain a competitive edge. The integration of AI/ML and specialized services like Power BI consulting are key drivers. The market is dynamic, with continuous technological advancements and evolving regulatory landscapes shaping its trajectory.
Total Assets Under Management (AUM)
Data Analytics Consulting Market Size in United States
~Approximately 58.7 billion USD (2023) in the United States
(13.6% (2023-2028 CAGR) CAGR)
- Increased adoption of cloud-based solutions.
- Growing demand for specialized AI and ML consulting.
- Expansion into new industry verticals.
Total Addressable Market
83.6 billion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Generative AI
Generative AI will enable automated data insight generation, intelligent report creation, and advanced predictive modeling, enhancing efficiency and accessibility of data analytics.
Data Fabric
Data Fabric provides a unified, intelligent data platform that simplifies data integration, management, and access across disparate sources, improving data accessibility and reliability.
Confidential Computing
Confidential Computing ensures data remains encrypted while in use, significantly enhancing data security and privacy for sensitive analytical workloads.
Impactful Policy Frameworks
American Data Privacy and Protection Act (ADPPA) - Proposed
The ADPPA is a proposed comprehensive federal privacy law that aims to establish national standards for how companies collect, use, and share personal data, superseding many state-level privacy laws.
This policy would require GetOnData Solutions to implement stricter data handling and privacy compliance measures, potentially affecting data collection and processing methods for their clients.
NIST AI Risk Management Framework (AI RMF 1.0) - 2023
The NIST AI RMF is a voluntary framework developed by the National Institute of Standards and Technology to help organizations manage the risks associated with designing, developing, deploying, and using AI systems.
GetOnData Solutions will need to integrate the principles of responsible AI development and risk management into their AI solution offerings to ensure ethical and secure deployments for clients.
Cybersecurity and Infrastructure Security Agency (CISA) - Various Advisories
CISA regularly issues advisories and guidance on cybersecurity threats, vulnerabilities, and best practices to protect critical infrastructure and federal networks from cyberattacks.
GetOnData Solutions must continuously update its cybersecurity practices and advise clients on evolving threats to ensure the security of data infrastructure and analytical platforms they manage.
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