The future of technology is shaped by advances that will redefine human-machine interaction, enhance efficiency across multiple sectors, and address global challenges. According to Gartner, there are 10 technological trends for 2025 that promise to revolutionize industries. Here’s the breakdown, along with some examples of their application:
Top technological trends for 2025
1. Agentic AI: artificial intelligence that acts autonomously
Agentic AI takes artificial intelligence to the next level by enabling systems to act autonomously, anticipating needs and making decisions without constant human supervision. These AIs operate in complex and dynamic environments, continuously learning from context.
For example, AutoGPT can take on a goal, such as launching a marketing campaign, and execute tasks like audience research, content creation, and real-time strategy adjustments. In logistics, tools like DeepMind’s systems manage distribution networks by anticipating disruptions such as delays or demand fluctuations, optimizing time and costs.
2. Post-quantum cryptography: security for the quantum era
The advent of quantum computers poses a significant threat to traditional encryption systems. Post-quantum cryptography relies on algorithms resistant to the massive decryption capabilities of quantum machines. Its adoption will be critical for protecting sensitive data in sectors like banking, healthcare, and defense.
The NIST has selected algorithms like Kyber and Dilithium to establish global post-quantum cryptography standards. Major corporations, such as Google, are already integrating these technologies into their security systems to safeguard communications and sensitive data from future quantum attacks.
3. Spatial computing: transforming environments with digital data
Spatial computing creates experiences where digital data integrates seamlessly with the physical environment. This is achieved through technologies like augmented reality (AR), virtual reality (VR), and advanced sensors that allow for more natural and contextual interaction.
In the automotive sector, BMW uses AR to visualize designs in real-time, enabling adjustments before physical prototypes are manufactured. In medicine, devices like Microsoft HoloLens help surgeons plan operations through 3D simulations, enhancing surgical precision and reducing patient risks.
4. AI governance platforms: ethics and control in artificial intelligence
As AI influences critical decisions, the need for governance platforms becomes paramount. These tools ensure that models are transparent, ethical, and compliant with regulations, preventing biases or harmful outcomes.
IBM Watson OpenScale offers a platform for monitoring AI models’ performance, detecting biases, and ensuring fair results. In the public sector, initiatives like the EU’s AI Act establish guidelines to oversee AI use in sensitive areas like justice and healthcare.
5. Invisible ambient intelligence: frictionless technology
Invisible ambient intelligence integrates devices and sensors seamlessly into the environment, anticipating and responding to user needs. These technologies make environments more efficient, comfortable, and personalized.
In smart homes, devices like Google Nest automatically adjust temperature and lighting based on user preferences. In offices, advanced sensors manage energy use and optimize spaces according to occupancy. In retail, technologies like Amazon Go eliminate the need for checkouts by integrating ambient intelligence into shopping experiences.
6. Multipurpose robots: machines for diverse tasks
Multipurpose robots are designed to quickly adapt to different tasks, combining AI, advanced hardware, and machine learning. These robots offer versatile solutions in sectors like manufacturing, healthcare, and domestic settings.
Boston Dynamics’ Stretch is designed for tasks like loading and unloading goods in logistics warehouses. At home, robots like Samsung Bot Handy perform cleaning and cooking tasks. In hospitals, robots such as Aethon’s TUG transport medications, samples, and medical supplies between departments, freeing up healthcare staff.
7. Misinformation defense: combating fake news
The spread of misinformation necessitates advanced technologies to detect and counter it. These tools analyze large datasets to identify false, manipulated, or malicious content, helping to protect trust in information.
Platforms like Microsoft Video Authenticator use AI to detect deepfakes by analyzing metadata and manipulation traces in images and videos. Social networks like Twitter are implementing real-time verification tools to flag suspicious information. Governments are also leveraging these technologies to combat misinformation campaigns during elections.
8. Energy-efficient computing: technological sustainability
With rising energy consumption in data centers and connected devices, energy-efficient computing aims to reduce environmental impact by optimizing hardware and software.
Companies like NVIDIA are developing GPUs designed to maximize performance while minimizing energy use. In data centers, tech giants like Microsoft and Google are implementing immersion cooling technologies and AI-driven software to optimize resource use, achieving more sustainable operations.
9. Neurological enhancement: expanding human capabilities
Neurological enhancement combines neuroscience and technology to augment human cognitive, sensory, and physical abilities. These innovations have applications in healthcare, productivity, and entertainment.
Devices from Neuralink, Elon Musk’s company, explore brain-computer interfaces that allow paralyzed individuals to control electronic devices with their minds. Clinically, neuroprosthetics like those developed by Synchron restore motor functions for patients with disabilities.
10. Hybrid computing: the best of both worlds
Hybrid computing combines on-premises and cloud resources to provide flexibility, scalability, and security. This approach enables businesses to leverage the strengths of both models, reducing costs and improving operational efficiency.
Microsoft’s Azure Arc facilitates managing applications across on-premises servers and the cloud, offering a unified solution for companies with specific compliance needs. In the pharmaceutical industry, some companies use hybrid computing to securely handle sensitive clinical data while scaling global operations.
These technological trends for 2025 are not only transforming how we live and work but also addressing key challenges like sustainability, security, and inclusivity. Adopting them ethically and responsibly will be essential to maximizing their potential and building a more connected and efficient future.
