Gartner, Inc., a leading research and advisory company, has identified the top 10 strategic technology trends that organizations need to explore in 2025. According to Gene Alvarez, Distinguished VP Analyst at Gartner, these trends will help IT leaders shape the future of their organizations with responsible and ethical innovation.
The list includes Agentic AI, which can autonomously plan and take actions to meet user-defined goals, and AI Governance Platforms that enable organizations to manage the legal, ethical, and operational performance of their AI systems.
Other trends include Disinformation Security, Postquantum Cryptography, Ambient Invisible Intelligence, Energy-Efficient Computing, Hybrid Computing, Spatial Computing, Polyfunctional Robots, and Neurological Enhancement. These technologies can potentially drive significant disruption and opportunity for CIOs and other IT leaders within the next 10 years.
1. Agentic AI
Agentic AI systems autonomously plan and execute actions based on user-defined objectives, aiming to enhance workforce efficiency by taking over routine tasks. Gartner forecasts that by 2028, 15% of daily work decisions will be made autonomously through these systems, a leap from 0% in 2024. This technology promises to create more adaptable and intelligent software that handles a diverse range of tasks.
2. AI Governance Platforms
AI governance platforms are key to managing the legal, ethical, and operational risks of AI. They help enforce policies for responsible AI use, providing transparency and building trust. By 2028, organizations using AI governance platforms will see 40% fewer ethical incidents related to AI compared to those without such systems, according to Gartner.
3. Disinformation Security
Disinformation security is an emerging field focused on identifying and mitigating disinformation. Gartner predicts that by 2028, 50% of enterprises will adopt technologies to handle disinformation, up from less than 5% today. This will be crucial in countering the harmful effects of AI-driven disinformation.
4. Postquantum Cryptography
Postquantum cryptography aims to protect data against decryption threats posed by quantum computing. As quantum computing evolves, traditional cryptographic methods will become obsolete. Gartner anticipates that most conventional asymmetric cryptography will be insecure by 2029.
5. Ambient Invisible Intelligence
This trend involves using low-cost sensors and smart tags to enable large-scale, real-time tracking and intelligence. By 2027, such technologies will be applied in industries like retail and logistics, providing improved visibility and efficiency for tasks such as stock management.
6. Energy-Efficient Computing
Energy-efficient computing addresses the carbon footprint of IT operations. New computing technologies like optical and neuromorphic processors are expected to emerge by the late 2020s, significantly reducing the energy consumption of compute-intensive tasks like AI training and simulation.
7. Hybrid Computing
Hybrid computing combines diverse computing paradigms, such as classical, quantum, optical, and neuromorphic systems, to solve complex problems. This approach will enable more efficient computational environments, driving innovation across industries.
8. Spatial Computing
Spatial computing integrates augmented reality (AR) and virtual reality (VR) to merge physical and digital experiences. Gartner projects that this technology will grow significantly, reaching $1.7 trillion by 2033. It will streamline workflows and boost collaboration across organizations.
9. Polyfunctional Robots
Polyfunctional robots are designed to handle multiple tasks, offering a significant upgrade over traditional task-specific robots. Gartner predicts that by 2030, 80% of humans will interact with these smart robots daily, enhancing workplace productivity and scalability.
10. Neurological Enhancement
Neurological enhancement technologies, such as brain-machine interfaces (BMIs), improve human cognitive abilities by interpreting brain activity. By 2030, 30% of knowledge workers may rely on these technologies to stay competitive in an AI-driven workplace, according to Gartner.
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