O Gartner, Inc. announces its list of Top 10 Strategic Technology Trends that companies should explore in 2025.
“The year’s top strategic technology trends encompass the imperatives and risks of Artificial Intelligence (AI), new frontiers of computing, and the synergy between humans and machines,” says Gene Alvarez, Vice President and Analyst at Gartner. “Keeping up with these trends will help IT leaders shape the future of their companies with responsible and ethical innovation.”
The main strategic technology trends for 2025 are:
Agentic AI: Agentic AI systems autonomously plan and take actions to achieve user-defined goals. Agentic AI offers the promise of a virtual workforce that can both alleviate and augment human labor. Gartner predicts that by 2028, at least 15% of daily work decisions will be made autonomously using Agentic AI, up from 0% in 2024. The goal-oriented capabilities of this technology will deliver more adaptable software systems capable of performing a wider range of tasks. Agentic AI has the potential to fulfill the desire of Chief Information Officers (CIOs) to increase productivity across the enterprise. This drive is driving companies and vendors alike to explore, innovate, and establish the technology and practices needed to deliver this intelligence in a robust, secure, and reliable manner.
Artificial Intelligence Governance Platforms: The platforms of governance AI governance platforms are part of Gartner’s evolving AI Trust, Risk and Security Management (TRiSM) framework, which enables enterprises to manage the legal, ethical and operational performance of their AI systems. These technology solutions have the ability to create, manage and enforce policies for the responsible use of AI, explain how AI systems work and provide transparency to build trust and accountability. Gartner predicts that by 2028, enterprises that implement comprehensive AI governance platforms will experience 40% fewer AI-related ethical incidents compared to companies that do not implement such systems.
Security against Disinformation: THE safety Counter-disinformation is an emerging category of technology that systematically discerns trust and aims to provide methodological systems to ensure integrity, assess authenticity, prevent falsification, and track the spread of harmful information. By 2028, Gartner predicts that 501,000 organizations will begin adopting products, services, or capabilities specifically designed to address disinformation security use cases, up from less than 51,000 today. The widespread availability and advanced state of AI and machine learning tools being used for harmful purposes is expected to increase the number of misinformation incidents targeting organizations. Left unchecked, misinformation can cause significant and lasting damage to any organization.
Post-Quantum Cryptography: Post-quantum cryptography offers data protection that is resistant to the decryption risks of quantum computing. As developments in quantum computing have advanced in recent years, several types of widely used conventional cryptography are expected to become obsolete. It is not easy to switch cryptographic methods, so companies must prepare in advance for robust protection of anything sensitive or confidential. Gartner predicts that by 2029, advances in quantum computing will make most conventional asymmetric cryptography insecure for use.
Environmental Invisible Intelligence: Ambient invisible intelligence is enabled by low-cost, small-scale smart tags and sensors that provide large-scale tracking and sensing at affordable prices. In the long term, ambient invisible intelligence will enable deeper integration of sensing and intelligence into everyday life. By 2027, early examples of the technology will focus on solving immediate problems, such as inventory verification in retail or perishable goods logistics, by enabling low-cost, real-time item tracking and detection to improve visibility and efficiency.
Energy Efficient Computing: IT impacts the sustainability in many ways, and by 2024, the top consideration for most IT organizations is their carbon footprint. Computationally intensive applications such as AI training, simulation, optimization, and media rendering are likely to be the largest contributors to a company’s carbon footprint, as they consume the most energy. Starting in the late 2020s, several new computing technologies such as optical, neuromorphic, and new accelerators are expected to emerge for specific tasks such as AI and optimization that will use significantly less energy.
Hybrid Computing: New computing paradigms continue to emerge, including central processing units, graphics processing units, edge, application-specific integrated circuits, neuromorphic, and classical and optical quantum computing paradigms. Hybrid computing combines different compute, storage, and networking engines to solve computational problems. This computing format helps companies explore and solve problems, enabling technologies such as AI to surpass current technological limits. Hybrid computing will be used to create highly efficient, transformative innovation environments that operate more efficiently than conventional ones.
Spatial Computing: Spatial computing digitally enhances the physical world with technologies like augmented reality and virtual reality. This is the next level of interaction between physical and virtual experiences. The use of spatial computing will increase the efficiency of businesses over the next five to seven years through streamlined workflows and improved collaboration. Gartner predicts that spatial computing will grow to $1.7 trillion by 2033, up from $110 billion in 2023.
Polyfunctional Robots: Multi-tasking machines have the ability to perform more than one task and are replacing task-specific robots, which are designed to repeatedly perform a single task. The functionality of these new robots improves efficiency and provides faster return on investment (ROI). Multi-tasking robots are designed to operate in a human-contained world, which will allow for rapid deployment and easy scalability. Gartner predicts that by 2030, 80% of humans will interact with intelligent robots daily, up from less than 10% today.
Neurological Enhancement: Neuro-augmentation improves human cognitive abilities using technologies that read and decode brain activity. This technology reads a person’s brain using one-way brain-machine interfaces or bi-directional brain-machine interfaces (BBMIs). This has enormous potential in three main areas: human augmentation, next-generation marketing, and performance. Neuro-augmentation will improve cognitive abilities, allow brands to know what consumers are thinking and feeling, and augment human neural capabilities to optimize outcomes. Gartner predicts that by 2030, 30% of knowledge workers will be augmented and dependent on technologies like BBMIs (funded by both employers and themselves) to stay relevant with the rise of AI in the workplace, up from less than 1% in 2024.
The Top Strategic Technology Trends of 2025 highlight those that will significantly disrupt and create opportunities for CIOs and other IT leaders over the next 10 years. Gartner clients can read more in the Special Report “Top Strategic Technology Trends for 2025.”
About Gartner for Information Technology Executives
Gartner for Information Technology Executives provides objective, actionable insights for CIOs and IT leaders to help them lead their organizations through digital transformation and drive business growth. Visit: www.gartner.com/en/information-technology.
About Gartner
Gartner, Inc. delivers objective, actionable insights that drive smarter decisions and better performance for enterprises’ mission-critical priorities. To learn more, visit www.gartner.com or follow Gartner news and updates for IT executives using #GartnerIT.
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