Why OmniAlpha™ and Why now? – Perfect Timing for the Immersive AI Revolution

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As of 2023 there were 171 million Active Virtual Reality (VR) users worldwide. This is expected to reach 216 million by 2025.

 

 

 

 

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Omni-directional treadmill market size and forecast

An industry report expects the omni-directional treadmill market will be worth $1.2 billion by 2032, (CAGR 22.6%). Source

  • This report is based upon existing market options and does not factor that, OmniAlpha™ can enter markets where competitors struggle and are unable to enter.
  • This report may not include the impact and shift into this new era of immersive ai content.

 

Generative AI (McKinsey & Co)

The convergence of AI and VR is expected to drive substantial revenue growth.

“By 2027, the global VR market, bolstered by AI integration, is projected to reach approximately $87.97 billion, growing from about $28.42 billion in 2023 .

The generative AI market is expected to reach $110.8 billion by 2030, and much of this will be tied to applications in VR, XR, and AR ”

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What is Generative AI and how does this fit in with XR?

“AI & VR can make for the most realistic and immersive experience.

The main aim for gamers of VR is immersion, and AI can help create realistic and believable opponents, worlds, and climate behaviors.

  • Realistic Environments: AI can be used to generate and populate VR environments with realistic, dynamic elements. For example, AI algorithms can create lifelike NPCs (Non-Player Characters) that react to the user’s actions, making virtual worlds feel more immersive.
  • Personalized Content: AI can analyze user data and preferences to tailor VR experiences. It can recommend content, adjust difficulty levels in games, or provide customized training scenarios for educational and professional applications.
  • Natural Language Interaction: AI-powered natural language processing (NLP) can enable users to have more natural conversations with virtual characters or objects in a VR environment.
  • Enhanced Learning and Training: AI can create adaptive and personalized training simulations in VR. For example, it can adapt to the difficulty of a training module based on the user’s performance, provide real-time feedback, and track progress.”
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