Iveda Solutions Inc. (NASDAQ:
IVDA) is
one of the best AI stocks to buy under $5. On September 11, the company announced the expansion of its international reseller network across North America, Europe, Africa, the Middle East, and Asia. Expansion of the reseller network is part of an effort that seeks to enhance scalable revenue growth.
The expansion comes amid growing demand for the company’s AI training tools IvedaAI, VEMO body cameras, and vumastAR. The company is eliciting strong demand from municipalities modernizing their smart city infrastructure, schools strengthening campus security, and law enforcement agencies.
Consequently, Iveda has moved to capitalize on the growing demand for AI-powered physical security solutions in a market expected to reach $151.5 billion in 2030 from $120.8 billion in 2025
“Global spending on private security services is rapidly increasing, particularly in regions where public safety infrastructure is strained or complemented by private solutions,” said David Ly, Iveda founder and CEO. “We’re working with a partner in Johannesburg, and see an enormous demand for technology that enhances accountability and operational intelligence in this sector. It is exactly the type of market where Iveda delivers immediate, measurable impact.”
Iveda Solutions Inc. (NASDAQ:IVDA) is a provider of cloud-based artificial intelligence (AI) video search and surveillance technologies that protect people, places, and assets worldwide. Its core AI offering, IvedaAI, provides intelligent search capabilities for video and analytics, while its Cerebro IoT platform integrates various smart sensors and devices for data management.
While we acknowledge the potential of IVDA as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the
best short-term AI stock.
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Disclosure: None. This article is originally published at
Insider Monkey.
