Research from Water Tower Research, Water Tower Research

Water Tower Research

Water Tower Research is a leading equity research firm that provides research on micro, small and mid cap companies.

Water Tower Research was founded by Wall Street veterans after witnessing a fundamental shift in the investment research industry with the result being a declining knowledge base among investors, a lack of awareness and a shrinking pool of fundamental research being conducted on companies across the small-cap and micro-cap spectrum. The same issues are now increasingly occurring in the mid-cap space. This sea change within the investment community is impacting not only the companies themselves but also current shareholders and potential investors. With significantly less active sell-side sponsorship by Wall Street, a substantial information gap has developed between companies and various constituents in the financial community. The net result is fewer channels for insight and information to flow between companies and investors.

Research from Water Tower Research

Equity Research Firm

Equity Bottom-Up

<ul><li>Massive AI infrastructure boom. There is a massive data center investment cycle driven by artificial intelligence (AI). </li><li>The global AI infrastructure market will surge from $88 billion in 2025 to $198 billion by 2030 (18% CAGR), with the independent AI cloud segment increasing significantly from $25 billion to $170 billion (48% CAGR).</li><li> The shift to inference is a significant driver, which, as a share of workloads (versus training), is expected to shift from 20% to 80%, creating a massive opportunity for specialized providers over general-purpose hyperscalers</li></ul>

Massive AI infrastructure boom. There is a massive data center investment cycle driven by artificial intelligence (AI). The global AI infrastructure market will surge from $88 billion in 2025 to $198 billion by 2030 (18% CAGR), with the independent AI cloud segment increasing significantly from $25 billion to $170 billion (48% CAGR). The shift to inference is a significant driver, which, as a share of workloads (versus training), is expected to shift from 20% to 80%, creating a massive opportunity for specialized providers over general-purpose hyperscalers

Nebius Group

NBIS: "Neo" Of the Cloud?