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Banks might securely publish real time data streams onto decentralized marketplaces, enabling other firms to develop AI models; AR glasses for traders can expand their screen space dramatically

May 9, 2025 //  by Finnovate

Financial firms are investing heavily in event-driven architectures for instant payments, algorithmic trading and fraud detection. Clearly, in a volatile and opportunistic market, real-time data has become nonnegotiable. The real-time analytics market, valued at around $25 billion in 2023, is projected to reach $193 billion by 2032. Real-time streaming, AI co-pilots, digital twins, immersive visualization and decentralized marketplaces collectively define finance’s immediate future. The aim is to reduce the gap between insight and action to nearly zero. Early successes—from swift analytics to improved customer experiences—show this is achievable, not mere speculation. The financial sector is engaged in a “race against real time.” Successful firms will integrate these technologies rather than viewing them separately—AI co-pilots leveraging real-time streams, digital twins tested through immersive environments, analysts accessing data via decentralized marketplaces in AR/VR setups. Some banks envision AR glasses for traders to expand their screen space dramatically, projecting real-time market data directly into their vision. Although adoption faces technological and user acceptance hurdles, immersive technologies promise revolutionary potential for parsing rapid-fire financial information. In the envisioned future, banks might securely publish data streams onto decentralized marketplaces, enabling other firms to develop AI models using these diverse data sets. Pilot programs testing this concept promise a more cooperative and open financial data economy, breaking industry silos and enhancing real-time data availability.

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