GlobalData provides market, financial, competitive, and industry intelligence for enterprise decision-making. Atlas helps science-led teams transform research questions into publication-ready intelligence reports grounded in scientific evidence.
Atlas and GlobalData both help organizations make better decisions with AI and expert knowledge, but they serve different research needs. GlobalData is built to deliver broad market, industry, and business intelligence, while Atlas is purpose-built for scientific research, technology scouting, literature reviews, and competitive intelligence for R&D teams.
Typical use cases:
Typical use cases:
Every project begins with a structured research brief. AI research agents investigate scientific literature, patents, companies, and technical evidence before producing a publication-ready report reviewed by humans.
GlobalData aggregates proprietary datasets, analyst research, predictive analytics, and AI tools to help organizations monitor markets, industries, companies, and commercial trends.
Ready to present, publish, or support R&D decisions.
Designed for ongoing business planning and commercial analysis.
If your primary need is scientific research and R&D intelligence, yes. GlobalData is optimized for market, industry, and commercial intelligence, while Atlas focuses on producing rigorous scientific research reports.
Atlas emphasizes technology landscapes, literature reviews, competitive intelligence, and scientific company research rather than broad commercial market forecasting.
Yes. Atlas automates literature reviews, technology landscapes, company intelligence, and scientific competitive analysis using structured AI workflows with verified citations.
Atlas transforms a structured research brief into a rigorous, publication-ready report with AI research agents, human review, and verified scientific evidence.
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