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Industry Landscape
The data analytics and business intelligence consulting industry is experiencing robust growth, driven by the increasing need for data-driven decision-making, digital transformation initiatives, and the rapid adoption of AI/ML technologies. Businesses across all sectors are seeking external expertise to overcome data silos, extract actionable insights, and optimize operations, leading to high demand for specialized consulting services.
Total Assets Under Management (AUM)
Market Size (Revenue) in United States
~29.9 billion USD (2023)
(15.2% CAGR)
Growth is fueled by cloud adoption.
Increased AI/ML integration.
Demand for real-time insights.
Total Addressable Market
30 billion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Generative AI
Generative AI, specifically large language models (LLMs) and advanced generative adversarial networks (GANs), is transforming data analysis by enabling automated insights, content generation, and sophisticated data synthesis.
Data Mesh Architectures
Data Mesh is a decentralized data architecture paradigm that organizes data by domain, treating data as a product and empowering domain teams to own and serve their data.
Real-time Analytics & Streaming Data
The shift towards real-time data processing and analytics, powered by technologies like Apache Kafka and Flink, enables immediate insights and decision-making from high-velocity data streams.
Impactful Policy Frameworks
California Privacy Rights Act (CPRA) 2023
The CPRA, effective January 1, 2023, expands upon the California Consumer Privacy Act (CCPA), granting consumers more rights regarding their personal data, including data correction and limiting the use of sensitive personal information.
Dataplatr must ensure all data handling, storage, and processing practices for California-based clients are compliant with CPRA to avoid legal penalties and maintain client trust.
National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF) 2023
NIST released its AI RMF in January 2023, providing voluntary guidance for organizations to manage risks associated with artificial intelligence systems, focusing on trustworthiness, transparency, and accountability.
Dataplatr needs to integrate NIST AI RMF principles into its Generative AI services and AI/ML solutions to build trustworthy AI systems and advise clients on responsible AI deployment.
Cybersecurity and Infrastructure Security Agency (CISA) Shields Up Initiative 2022
Launched in response to global geopolitical events in 2022, CISA's 'Shields Up' initiative urges organizations to strengthen their cybersecurity defenses against potential cyberattacks, emphasizing preparedness and resilience.
Dataplatr must prioritize and enhance cybersecurity measures within its data engineering, warehousing, and managed services offerings to protect client data and ensure business continuity against increasing cyber threats.
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