MakinaRocks has filed for a KOSDAQ IPO to raise up to KRW 39.5 billion, kicking off a highly anticipated wave of AI listings. With South Korea’s AI market projected to reach $53.87 billion by 2032, this move validates “physical AI” as a highly viable exit path against conglomerate dominance. Founders must strategically pivot toward niche industrial applications, leverage massive government deep tech funding, and build export-ready B2B SaaS models.
The Catalyst: MakinaRocks Sparks the AI IPO Wave
Physical AI company MakinaRocks has officially initiated its KOSDAQ listing process, filing a securities registration statement to offer 2,635,000 shares. With an expected price band of KRW 12,500 to 15,000, the company aims to raise between KRW 32.9 billion and 39.5 billion. Founded in 2017, MakinaRocks has carved out a robust business model by providing specialized AI solutions for industries where security and precision are paramount, such as automotive, semiconductors, and defense. This IPO is not just a company milestone; it acts as a bellwether for deep tech founders, proving that highly specialized, industrial-focused AI can lead to successful public market exits.
Market Context: Why Industrial AI is the Founder’s Playground
While the foundational AI model and hardware spaces are heavily monopolized by tech giants and chaebols like Samsung Electronics and SK Hynix (which commands a 61% share of the HBM market), the industrial AI sector remains fertile ground for agile startups.
South Korea’s broader AI market is experiencing explosive growth, valued at $5.47 billion in 2024 and projected to skyrocket to $53.87 billion by 2032 at a staggering 33.40% CAGR. Within this ecosystem, the industrial AI submarket—which perfectly aligns with MakinaRocks’ focus on predictive maintenance and smart factory automation—was valued at $152.9 million in 2024 and is expected to reach $534.5 million by 2035. The rapid adoption of cloud-based AI, growing at a 34.9% CAGR, indicates that even small and medium-sized enterprises (SMEs) are aggressively seeking software solutions to reduce operational costs.
The Funding Landscape: Government Support as a Scale-Up Engine
To survive the capital-intensive nature of deep tech, founders must look toward institutional and government backing. The South Korean government is aggressively pushing its AI agenda, recently announcing a $71.5 billion five-year plan for a “super-innovation economy.” Furthermore, the 2026 budget includes $12.30 billion for tech initiatives, with $1.61 billion specifically earmarked for AI R&D in manufacturing.
Programs like TIPS (supporting 1,200 companies annually) and KRW 100 billion support packages tailored for AI and deep tech unicorns provide founders with non-dilutive capital and vital scale-up resources. This heavily subsidized environment creates a unique geographic advantage for hardware-integrated AI startups to validate their products before global expansion.
Actionable Takeaways for Founders
1. Pivot to Physical and Edge AI Niches Avoid competing directly with OpenAI or large conglomerates in generalized LLMs. Instead, focus on “Physical AI”—integrating deep learning with robotics, autonomous vehicles, and factory IoT. Solving specific, high-value problems like predictive maintenance or quality control provides a much stronger moat and clearer path to monetization.
2. Leverage the Local Manufacturing Testbed for Global Export Use South Korea’s world-class semiconductor and automotive manufacturing ecosystems as your primary testbed. Once product-market fit and ROI are proven locally, package the solution as a B2B SaaS (software accounts for 48.5% of the AI market share) to target global exports. Showcasing proven industrial use cases at global events like CES is a proven strategy for scaling.
3. Capitalize on Deep Tech Grants Aggressively pursue government funding. Align your product roadmap with state-sponsored initiatives, specifically those targeting smart factories and sovereign AI. Utilizing these funds for early-stage R&D and Proof of Concepts (PoCs) will preserve equity while building the necessary traction to attract Tier-1 venture capital ahead of an eventual IPO or acquisition.