Future Trends in Big Data Analytics: Emerging Technologies, AI, and Sustainability
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global Publishing
Article | NEYA Global Journal of Non-Profit Studies
Year: 2025
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-hr-bg-dt-10
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About the Article
Big data analytics is entering a new era shaped by artificial intelligence, real-time processing, and sustainability imperatives. This article explores emerging technologies such as quantum computing, edge computing, 5G networks, blockchain, and serverless architectures, assessing their impact on efficiency, scalability, and security. AI-driven approaches—including AutoML, natural language processing, predictive analytics, and reinforcement learning—expand the scope of insights organizations can extract from data. Real-time processing, interactive dashboards, and event-driven architectures enable immediate responses to dynamic environments. The discussion also highlights sustainability challenges and solutions, such as energy-efficient data centers, data minimization, and eco-friendly machine learning. Applications in finance, smart cities, healthcare, and developing economies demonstrate the transformative potential of these trends. The article provides a forward-looking perspective that integrates innovation, ethics, and accessibility, offering organizations strategies to remain competitive and responsible in the evolving data landscape.
Key Topics
- Emerging technologies in big data (quantum, edge, blockchain, 5G)
- AI and machine learning in analytics
- Real-time processing and dashboards
- Sustainability in data practices
- Applications in smart cities, finance, healthcare
- Strategies for developing economies
Suggested Citation
Kazanskaia, A. N. (2025). Future Trends in Big Data Analytics: Emerging Technologies, AI, and Sustainability. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-hr-bg-dt-10
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