THEGartner, Inc. announces its list ofTop 10 Strategic Technology Trendsthat 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,” saysGene AlvarezVice 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:
AI Agent:Agentic AI Systems (Artificial Agent Intelligence) plan and take actions autonomously to achieve goals set by users. Agentic AI offers the promise of a virtual workforce that can alleviate and enhance human work. Gartner predicts that by 2028, at least 15% of daily work decisions will be made autonomously through Agentic AI, compared to 0% in 2024. The goal-oriented capabilities of this technology will deliver more adaptable software systems, capable of performing a wide variety of tasks. Agentic AI has the potential to fulfill the desires of CIOsChief Information Officers) to increase productivity throughout the company. This motivation is leading both companies and suppliers to explore, innovate, and establish the necessary technology and practices to deliver this intelligence in a robust, secure, and reliable manner.
Artificial Intelligence Governance Platforms:The platforms ofgovernanceof AI are part of theframeworkin the evolution of trust, risk, and security (TRiSM) management of Gartner's Artificial Intelligence, which enables companies to manage the legal, ethical, and operational performance of their AI systems. These technological solutions have the capacity to create, manage, and implement policies for the responsible use of Artificial Intelligence, explain how AI systems work, and provide transparency to build trust and accountability. Gartner predicts that by 2028, companies implementing comprehensive AI governance platforms will experience 40% fewer ethical incidents related to AI compared to companies that do not implement these systems.
Security against Disinformation:A securityCountering disinformation is an emerging technology category that systematically discerns trustworthiness and aims to provide methodological systems to ensure integrity, assess authenticity, prevent falsifications, and track the dissemination of harmful information. By 2028, Gartner predicts that 50% of companies will begin to adopt products, services, or features specifically designed to address security use cases against disinformation, compared to less than 5% today. The wide availability and advanced state of Artificial Intelligence tools andMachine Learning(machine learning) being used for malicious purposes should increase the number of disinformation incidents targeted at companies. If this is not controlled, misinformation can cause significant and lasting damage to any company.
Post-Quantum Cryptography:Post-quantum cryptography offers data protection that is resistant to the decoding risks of quantum computing. As developments in quantum computing have advanced in recent years, it is expected that several types of widely used conventional cryptography will become obsolete. It is not easy to change cryptographic methods, so companies should prepare in advance for robust protection of all sensitive or confidential information. Gartner predicts that by 2029, advances in quantum computing will render most conventional asymmetric cryptography insecure for use.
Environmental Invisible Intelligence:Invisible environmental intelligence is enabled by smart tags and ultra-low-cost, small-sized sensors that provide large-scale tracking and sensing at affordable prices. In the long term, invisible environmental intelligence will enable a deeper integration of sensing and intelligence into daily life. Until 2027, the first examples of the technology will focus on solving immediate problems, such as inventory verification in retail or logistics of perishable goods, by enabling real-time, low-cost tracking and detection of items to improve visibility and efficiency.
Energy Efficient Computing:IT impacts YOUsustainabilityin various ways, and in 2024, the main consideration for most IT organizations is their carbon footprint. Computationally intensive applications, such as artificial intelligence training, simulation, optimization, and media rendering, are likely to be the biggest contributors to companies' carbon footprint, as they consume the most energy. It is expected that, from the late 2020s, several new computing technologies such as photonics, neuromorphic, and new accelerators will emerge for specific tasks like AI and optimization, which will use significantly less energy.
Hybrid Computing:New computing paradigms continue to emerge, including central processing units, graphics processing units, edge (edge), application-specific integrated circuits, neuromorphic, and paradigms of classical and optical quantum computing. Hybrid computing combines different mechanisms of computing, storage, andnetworkto solve computational problems. This computing format helps companies explore and solve problems, enabling technologies like Artificial Intelligence to surpass current technological limits. Hybrid computing will be used to create highly efficient, transformative innovation environments that operate more effectively than conventional ones.
Spatial Computing:Spatial computing digitally enhances the physical world with technologies such as augmented reality and virtual reality. This is the next level of interaction between physical and virtual experiences. The use of spatial computing will increase companies' effectiveness over the next five to seven years through streamlined workflows and enhanced collaboration. Gartner predicts that by 2033, space computing will grow to $1.7 trillion, compared to $110 billion recorded in 2023.
Polyfunctional Robots:Multifunctional machines have the ability to perform more than one activity and are replacing robots for specific tasks, which are designed to execute a single initiative repeatedly. The functionality of these new robots improves efficiency and provides a faster return on investment (ROI). Multifunctional robots are designed to operate in a human world, enabling quick implementation and easy scalability. Gartner predicts that by 2030, 80% of humans will interact with intelligent robots daily, compared to less than 10% today.
Neurological Enhancement:Neurological enhancement improves human cognitive skills using technologies that read and decode brain activity. This technology reads a person's brain using unidirectional brain-machine interfaces or bidirectional brain-machine interfaces (BBMIs). This has enormous potential in three main areas: human enhancement, next-generation marketing, and performance. Neurological enhancement will improve cognitive skills, enable brands to know what consumers are thinking and feeling, and increase human neural capacities to optimize results. Gartner predicts that by 2030, 30% of knowledge workers will be augmented and dependent on technologies like LLMs (funded both by employers and themselves) to stay relevant with the rise of Artificial Intelligence in the workplace, compared to less than 1% in 2024.
The main strategic technological trends of 2025 highlight those that will cause significant disruption and create opportunities for CIOs and other IT leaders in the next 10 years. Gartner clients can read more in the Special Report“Top Strategic Technology Trends for 2025.”
