Find stats on top websites
Industry Landscape
The AI-powered market intelligence industry is experiencing rapid growth, driven by the increasing need for data-driven decisions and efficiency. AI is transforming traditional research, offering faster, more comprehensive, and actionable insights. Companies are adopting these solutions to gain a competitive edge, overcome data fragmentation, and reduce reliance on expensive traditional consulting, making it a highly dynamic and expanding sector.
Total Assets Under Management (AUM)
Market Research Industry Revenue in United States
~31.33 billion USD
(3.3% CAGR)
The global market research industry is projected to reach 133.4 billion USD by 2030.
Growth is driven by demand for data-driven decision-making.
AI and big data analytics are key drivers of this growth.
Total Addressable Market
31.33 billion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Generative AI for Advanced Analytics
This involves AI systems capable of generating novel insights, reports, and predictive models from disparate data sources, moving beyond simple data aggregation to truly interpret and forecast market dynamics.
Federated Learning for Data Privacy
A decentralized machine learning approach allowing AI models to train on data located on various devices or servers without directly sharing the raw data, crucial for maintaining data privacy and security in sensitive market intelligence.
Explainable AI (XAI) for Transparency
XAI focuses on making AI model decisions and predictions understandable to humans, which is vital for building trust and ensuring compliance in AI-driven market intelligence platforms.
Impactful Policy Frameworks
American Data Privacy and Protection Act (ADPPA) - Proposed
The ADPPA is a comprehensive federal privacy bill proposed in 2022 that aims to establish a national standard for data privacy, superseding various state laws like CCPA and Virginia CDPA.
If enacted, it would standardize data handling requirements across the U.S. for Ideapoke and its customers, potentially simplifying compliance but requiring significant adjustments to data collection and processing practices.
NIST AI Risk Management Framework (AI RMF 1.0) 2023
Developed by the National Institute of Standards and Technology, this framework provides guidance for managing risks associated with the design, development, use, and evaluation of AI products, services, and systems.
This voluntary framework offers best practices for Ideapoke to ensure their AI solutions are responsible and trustworthy, influencing their AI development lifecycle and potentially setting industry standards for AI market intelligence.
Federal Trade Commission (FTC) Enforcement Actions on AI
The FTC has indicated increased scrutiny and potential enforcement actions against companies using AI in ways that are unfair, deceptive, or discriminatory, particularly concerning data privacy and bias in algorithms.
Ideapoke must ensure its AI algorithms are unbiased and its data practices are transparent and compliant with consumer protection laws to avoid regulatory penalties and maintain trust.
Transform Your Ideas into Action in Minutes with WaxWing
Sign up now and unleash the power of AI for your business growth
