As we gaze into the future, the rapid evolution of technology continues to shape our world in unprecedented ways. With each passing year, new trends emerge, offering innovative solutions and altering the competitive landscape for businesses globally. In 2025, staying ahead of these trends will be crucial for organizations looking to maintain their edge and drive sustainable growth. This blog post explores the top strategic technology trends identified by Gartner, providing a glimpse into the technologies set to transform industries and redefine the possibilities of tomorrow.
1/ Agentic AI
Agentic AI refers to software designed to independently make decisions and act toward specific goals. It integrates AI techniques like memory, planning, and environment sensing to perform tasks autonomously. These systems can close the “AI agency gap,” moving from static, supervised tasks to complex, adaptive, and autonomous decision-making. By 2028, at least 15% of daily work decisions are predicted to be made autonomously using agentic AI, a significant rise from 0% in 2024.
The rising trend of agentic AI is driven by its potential to boost productivity and assist organizations in complex projects. It empowers workers through natural language, automates decisions via data analysis, and enhances situational awareness. Agentic AI can also act as a competent teammate, providing insights from unseen derivative events, promoting better collaboration and decision-making across teams.
2/ AI Governance Platforms
AI governance platforms are essential tools for managing and controlling AI systems responsibly and ethically. They help IT leaders ensure that AI is reliable, transparent, fair, and aligned with both organizational values and societal expectations. These platforms focus on three core areas: ethics, which involves guiding principles for AI development; responsible AI policies, which provide frameworks for oversight and deployment; and AI technology, which ensures that technical aspects are aligned with governance standards. Together, these elements foster trust, responsible AI innovation, and compliance with key attributes like transparency, accountability, fairness, and privacy.
The growing use of AI across industries, especially in regulated sectors, brings increased risks related to bias, privacy, and societal impact. AI governance platforms address these challenges by assessing potential harms, guiding AI through governance processes, and monitoring performance to ensure continued compliance with governance standards. According to Gartner, by 2028, organizations utilizing AI governance platforms are expected to see a 30% improvement in customer trust and 25% better regulatory compliance scores than their competitors.
3/ Disinformation Security
Disinformation security focuses on identifying trustworthy information and preventing the spread of harmful content. It aims to safeguard organizations by ensuring content authenticity, preventing impersonation, and detecting manipulated media such as deepfakes. This approach is critical in today’s digital landscape as it helps organizations protect their reputation and security from malicious actors.
Disinformation is increasingly a threat as adversaries utilize AI, fake news, and social engineering to manipulate and defraud. Advanced tools are now required to detect synthetic media, monitor narratives, and safeguard businesses from these risks. Disinformation security solutions assist in preventing cyber attacks and fraudulent activities by identifying and quarantining harmful communications.
By 2028, it’s predicted that 50% of enterprises will adopt disinformation security tools. These tools will offer use cases ranging from verifying real-time communications to protecting employees and brands from impersonation. As highlighted, these tools will play a vital role in preventing sophisticated cyberattacks.
4/ Post-Quantum Cryptography
Post-Quantum Cryptography (PQC) aims to protect against the future risks of quantum computers, which will soon be able to break traditional cryptographic methods. Companies need to prepare by building cryptographic databases, planning transition phases, and adopting crypto-agile development strategies by 2024. By 2027, they should begin transitioning to new PQ algorithms, enforcing strong crypto policies, and phasing out non-agile applications. The goal is a full migration to PQC by 2030.
Quantum computing is expected to render current encryption methods obsolete by 2029, posing a major security risk. Criminals are already exploiting this by adopting “harvest now, decrypt later” strategies, collecting encrypted data with the intent to decrypt it later using quantum technology. As Gartner’s VP analyst Mark Horvath states, “Even if attackers intercept the data now, they won’t be able to decrypt it in the future, even when quantum computers become powerful enough to break current encryption standards.” PQC ensures data like financial information and intellectual property remains secure in a quantum-powered world.
5/ Ambient Invisible Intelligence
Ambient Invisible Intelligence refers to the use of small, low-cost sensors and tags to track the location and status of objects and environments. These devices send data to the cloud for analysis and record-keeping, allowing seamless integration into everyday life, often without the user being aware. This technology is being applied across various sectors, including warehouses, retailers, logistics, and homes.
The rise of this trend is driven by the affordability and accessibility of tags and sensors, which offer real-time visibility for supply chains and broader ecosystems. Advances in wireless technology, such as Bluetooth and cellular networks, will continue to support new use cases. As Gartner’s Distinguished VP Analyst Nick Jones explains, “In manufacturing, components and machinery could communicate with management systems, providing updates on maintenance needs, stock levels or usage patterns. This visibility helps optimize supply chains, prevent equipment downtime and automate reordering.” This technology is expected to reduce costs and improve efficiency through 2028.
6/ Energy-Efficient Computing
Energy-efficient computing is becoming a top priority as organizations focus on sustainability and reducing their environmental impact. With the rise of energy-intensive technologies like AI and GPUs, conventional improvements are reaching their limits. New advancements such as neuromorphic and quantum computing are expected to drive significant energy-efficiency gains over the next decade, especially in industries like financial and IT services.
Practical use cases of energy-efficient computing include reducing power consumption in data centers, sustainable product development, and the use of smart power management systems to minimize energy usage in office networks. These efforts aim to cut costs and lower carbon footprints, as highlighted by Gartner’s prediction that IT organizations now prioritize sustainability in their operations.
7/ Hybrid Computing
Hybrid computing combines various technologies—such as CPUs, GPUs, edge devices, AI ASICs, neuromorphic, quantum, photonic, and biocomputing systems—to solve complex computational challenges. This architecture integrates different computing environments, allowing each technology to contribute its strengths. Use cases for hybrid computing include polyfunctional robots (edge, IoT), optimization and simulations, AI applications, and drug discovery, supported by a hybrid orchestration layer.
This trend is driven by the need for businesses to harness cutting-edge technologies like photonic, biocomputing, and quantum systems for disruptive innovation. Key use cases include cost-efficient scalability, where critical workloads are kept in-house for security, while the cloud handles peak loads. Hybrid computing also enhances data security by enabling sensitive data to be stored on-premises, while cloud solutions manage less sensitive tasks, fostering innovation and maintaining flexibility in operations.
8/ Spatial Computing
Spatial computing enhances the physical world by integrating digital content with real-world environments, allowing users to interact with digital objects in an immersive and intuitive way. The three layers that enable spatial computing are infrastructure, which supports hardware, networks, and systems; information, which manages data representing the physical world; and interaction, which defines how users engage with these digital objects.
This trend is gaining momentum due to advances in AR, MR, and AI technologies, allowing for immersive experiences across industries like gaming, healthcare, and e-commerce. The market is projected to grow significantly, fueled by devices like Apple Vision Pro and Meta Quest 3. Use cases include virtual collaboration, immersive employee training, and improving shopping experiences with virtual assistants. Companies can also use digital twins to monitor and optimize operations, offering a more efficient and engaging approach to business management.
9/ Polyfunctional Robots
Polyfunctional robots are adaptable machines capable of performing multiple tasks with minimal human instruction. Unlike humans, who handle complex, varied, and unpredictable situations, these robots excel at simple, repetitive, and predictable tasks. Their flexibility in design and function makes them well-suited for various operational needs.
The growing interest in polyfunctional robots is driven by rising labor costs and the demand for improved ROI, especially in industries like warehousing and manufacturing. Vendors are making these advanced robots more accessible, and early adopters are seeing the potential for improved efficiency and cost-effectiveness by using them for tasks such as picking, packing, and transporting goods.
By 2030, it is predicted that 80% of people will interact with smart robots daily, a significant increase from today’s 10%. These robots, while working alongside humans, don’t need to replicate human form. Instead, they will be optimized to improve productivity in environments designed for human use, making them indispensable in industries like healthcare and field servicing.
10/ Neurological Enhancement
Neurological enhancement is about improving how the brain works using technology that reads brain activity and may eventually be able to send signals back to the brain. Today, we have external, noninvasive devices that can sense and interact with the brain, and in the next 5–10 years, more advanced systems will be developed. These future systems will be minimally invasive, meaning they won’t harm brain tissue and can be upgraded or replaced as needed.
This technology is becoming popular because it could change healthcare, improve job performance, and create more personalized experiences. For example, it could help train surgeons faster, make education more personalized, reduce workplace accidents, and help companies find the best employees using brain data. By 2030, it’s predicted that 60% of IT workers will use brain-machine interfaces to improve their focus and productivity.
