Choose a Sample by Industry
AI Infrastructure & Data Center Investment
AI-led demand is driving multi-year data center buildout — Digital Realty reports ~2.9 GW of in-place IT capacity with ~770 MW under construction, while power and cooling remain the binding constraints on expansion.
Primary sources
8/8 claims verified · 24 cited sources
Related: AI market research
SaaS Pricing Models & Vertical Software
Leading SaaS providers span a spectrum of pricing architectures — from Procore’s construction-volume-based fees to Datadog’s usage-based subscriptions — as AI-native entrants broaden the range of pricing models across the category.
Primary sources
- Procore Technologies, Inc. — Annual Report (Form 10-K), FY ended Dec 31, 2025
- Datadog, Inc. — Annual Report (Form 10-K), FY ended Dec 31, 2025
8/8 claims verified · 23 cited sources
Related: SaaS market research
Streaming & Digital Subscription Economics
Netflix, Spotify, Warner Bros. Discovery, and Roku pursue markedly different monetization paths — from direct subscription to platform-intermediary advertising — with ad-supported tiers now standard across the sector.
Primary sources
- Netflix, Inc. — Annual Report (Form 10-K), FY ended Dec 31, 2025
- Spotify Technology S.A. — Annual Report (Form 20-F), FY ended Dec 31, 2025
- Warner Bros. Discovery, Inc. — Annual Report (Form 10-K), FY ended Dec 31, 2025
- Roku, Inc. — Annual Report (Form 10-K), FY ended Dec 31, 2025
8/8 claims verified · 20 cited sources
Related: consumer & digital commerce research
Enterprise Cybersecurity Market Growth
Enterprise security spending is consolidating around platform strategies — Palo Alto Networks reported subscription and support at 80.5% of total revenue in fiscal 2025, and CrowdStrike reported a 115% dollar-based net retention rate as of January 31, 2026.
Primary sources
- Palo Alto Networks, Inc. — Annual Report (Form 10-K), FY ended Jul 31, 2025
- CrowdStrike Holdings, Inc. — Annual Report (Form 10-K), FY ended Jan 31, 2026
8/8 claims verified · 21 cited sources
Related: cybersecurity market research
AI Security Research
OWASP Top 10 for LLM Applications 2026: Risk Categories, Descriptions, and Mitigations
This brief describes, for a security-engineering audience, the ten risk categories of the OWASP Top 10 for LLM Applications 2026, how the document defines each category, and the prevention and mitigation measures it prescribes.
This report is an adaptation of OWASP Top 10 for LLM Applications 2026 by the OWASP GenAI Security Project, which is licensed under CC BY-SA 4.0. This report is licensed under CC BY-SA 4.0.
Primary sources
- OWASP GenAI Security Project — OWASP Top 10 for LLM Applications 2026 (Version 2026)
- OWASP GenAI Security Project, Agentic Security Initiative — OWASP Top 10 for Agentic Applications 2026 (Version 2026)
Related: cybersecurity market research
OWASP Top 10 for Agentic Applications 2026: Risk Categories, Attack Scenarios, Mitigations, and a Cross-Source Comparison
This brief describes, for a security-engineering audience, the ten risk entries of the OWASP Top 10 for Agentic Applications 2026, how the document defines each entry, its example attack scenarios, and the prevention and mitigation guidelines it gives for each. It also summarizes the threat taxonomy to which the list maps its entries and compares the entries with two other publications that address agentic AI security.
This report is an adaptation of OWASP Top 10 for Agentic Applications 2026 by the OWASP Gen AI Security Project, Agentic Security Initiative, and of Agentic AI - Threats and Mitigations by the OWASP Top 10 for LLM Apps & Gen AI Agentic Security Initiative, both licensed under CC BY-SA 4.0. Section 6 also draws on OWASP Top 10 for LLM Applications 2026 by the OWASP GenAI Security Project, licensed under CC BY-SA 4.0, quoting one passage and the title of its supply-chain entry, and listing eight of its ten entry identifiers with their titles. The report also adapts material from Careful adoption of agentic AI services, © Commonwealth of Australia 2026, authored by the agencies named in reference [5], licensed under CC BY 4.0, and provided subject to the disclaimer on its page 29 [5, p. 29]; it summarizes and quotes selected risk descriptions and recommended practices with page references. This report is licensed under CC BY-SA 4.0.
Primary sources
- OWASP GenAI Security Project, Agentic Security Initiative — OWASP Top 10 for Agentic Applications 2026 (Version 2026)
- OWASP GenAI Security Project — OWASP Top 10 for LLM Applications 2026 (Version 2026)
Related: cybersecurity market research
See Verification In Action
"8 of 8 key claims verified" is an abstract number until you see what verification actually looks like. Here is one real entry from the SaaS Pricing sample above, exactly as it appears in that document's Verification appendix — the claim we made, the evidence that supports it, and the source you can open and check yourself.
Claim: Procore sells subscriptions for a fixed fee based on the number and mix of products a customer subscribes to and the fixed aggregate dollar volume of construction work contracted to run on the platform annually.
✓ 99% supported
Deciding evidence, quoted from the filing
"We primarily sell our products on a subscription basis for a fixed fee with pricing generally based on the number and mix of products a customer subscribes to and the fixed aggregate dollar volume of construction work contracted to run on our platform annually, which we refer to as “annual construction volume.”"
Cited source
Procore Technologies, Inc. — Annual Report (Form 10-K), FY ended Dec 31, 2025 — filed with the U.S. Securities and Exchange Commission.
Every Paid Report Includes
- Inline citations to the sources each finding draws on, with a full source bibliography (APA, MLA, Chicago, IEEE, or Vancouver).
- An independent verification appendix: key claims fact-checked against the sources, with the deciding evidence quoted.
- A methodology section describing sources, credibility mix, and verification approach.
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