Datavault AI Inc Accelerates Edge Infrastructure Expansion, Targets $500 Million Revenue
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Jan 12 2026
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Source: Benzinga
- Ambitious Revenue Goals: Datavault AI plans to operate a nationwide edge network of over 100 nodes across 33 cities, with project-related revenue expected to reach $400 million to $500 million, significantly exceeding analysts' forecast of just $45 million for fiscal 2026.
- Strategic Market Positioning: The activation of edge networks in New York and Philadelphia positions Datavault AI to capture meaningful market share in high-value verticals, with these early deployments serving as anchor markets within the company's broader national rollout strategy.
- Innovation in Sports and Digital Engagement: Datavault AI showcased Web3 technology's potential to create new revenue streams for athletes and deepen fan engagement through its Dream Bowl XIV event, which combined collegiate football, tokenized memorabilia, and digital fan interactions.
- Stock Price Volatility: While Datavault AI's stock has gained 14% year-to-date, it has lost over 45% in the past 12 months, indicating market caution regarding its long-term growth potential.
Analyst Views on DVLT
Wall Street analysts forecast DVLT stock price to rise over the next 12 months. According to Wall Street analysts, the average 1-year price target for DVLT is 4.00 USD with a low forecast of 4.00 USD and a high forecast of 4.00 USD. However, analyst price targets are subjective and often lag stock prices, so investors should focus on the objective reasons behind analyst rating changes, which better reflect the company's fundamentals.
1 Analyst Rating
1 Buy
0 Hold
0 Sell
Moderate Buy
Current: 0.755
Low
4.00
Averages
4.00
High
4.00
Current: 0.755
Low
4.00
Averages
4.00
High
4.00
About DVLT
Datavault AI Inc. is a data licensing and monetization company. The Company’s patented platform enables secure data valuation, exchange, and AI-driven monetization-enabling businesses and creators to unlock the value of their data assets across cloud, Web 3.0, and experiential computing landscapes. Its offerings are its artificial intelligence (AI)-driven agents branded as Data Vault, DataValue, DataScore, and Data Vault Bank. These tools harness generative AI to deliver enterprise-grade data management solutions. It operates through two synergistic platforms: Data Science and Acoustic Science. Its Data Sciences Platform is anchored by its flagship Data Vault platform, a patented, cyber-secured asset tokenization platform that sets a new standard for trust and innovation in Web 3.0 data science. The Acoustic Sciences Platform features a fusion of WiSA’s wireless standard technology and the category creating ADIO inaudible tone, data over sound, and mobile quick response technology.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
