Research and analysis firm Gartner has presented its top ten most important technology trends for 2025.
As it does every year, Gartner publishes its list of strategic technology trends for next year. It highlights 10 key developments that companies and organizations should keep an eye on. These trends offer a preview of technology innovations and challenges that are likely to have an impact in the near future. Let us briefly explain the ten trends for 2025.
1. Agentic AI
More and more companies such as Microsoft and Google are using Agentic AI. Agentic AI refers to AI systems that autonomously make decisions and adapt without direct human intervention. Microsoft describes them as “new apps for an AI-driven world.”
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AI agents are more than automated processes because autonomous systems operate entirely on their own. They learn, make decisions and adapt. Gartner predicts that by 2028 about 15 percent of daily work decisions will be made by AI agents, which has major implications for the way businesses operate.
2. AI governance platforms
As AI systems become more and more a part of business operations, AI governance becomes critical. This includes managing risk, security and ethical issues of AI systems. The so-called TRiSM (Trust, Risk, and Security Management) framework provides guidelines for responsible AI applications. Organizations with AI governance platforms are expected to experience 40 percent fewer ethical incidents by 2027.
Ethical incidents include lawsuits, employee complaints and very bad PR. A 40 percent cut can mean the difference between continuing a successful career or being fired. Companies can implement AI smoothly, of course, but for now they are still running into obstacles.
3. Protection against disinformation
Disinformation poses a threat not only to society but also to businesses. Gartner predicts that by 2028, half of companies will take measures to combat disinformation. These include technologies that can assess and track the integrity, authenticity and dissemination of information to counter harmful effects.
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Stricter identity validation controls help reduce fraud, while continuous risk assessment and contextual awareness prevent account takeovers. A continuous adaptive trust model provides additional security and also protects brand reputation by identifying damaging stories early.
4. Post-quantum cryptography
An explanation of quantum cryptography would make this review too long. We have brought you a perfect article on that. Quantum computers will become exponentially more powerful in the future, making most current encryption methods vulnerable to decryption. It won’t be long before quantum computers also get into the hands of people with bad intentions.
Gartner recommends that companies prepare for the threat of quantum computing now, as most current forms of cryptography are expected to be insecure by 2029.
The biggest problem in this is in applications that use current security algorithms. They may experience performance problems, need to be retested and perhaps even rewritten.
5. Invisible environmental intelligence
This trend involves integrating smart sensors and tags into environments such as homes, stores and work spaces. These sensors create “aware” spaces that can automatically detect and respond to behavior and environment.
Such a sensor could, for example, measure temperature and air quality in a conference room. Gartner foresees its main applications in retail and warehouses through 2027. Of course, companies using the sensors will need to adequately educate themselves on privacy laws surrounding them.
6. Energy-efficient computing
Servers of AI systems are proving to be big energy consumers. Because those AI systems such as large language models consume so much energy, there is a growing need for energy-efficient technologies.
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Gartner highlights the importance of optical, neuromorphic and other specialized processors that promise lower power consumption and memory usage, especially with sustainability in mind. Those processors use light and machine learning, respectively, to consume less energy. Unfortunately, that transition to the new systems is often still very complex and pricey.
7. Hybrid computing
In the context of data centers, hybrid computing refers to a mix of diverse technologies and specialized processors that can be deployed based on specific performance and energy needs. As such, they are efficient, fast and transformative innovation environments.
That mix of technologies and infrastructures will optimize IT tasks and workloads. As a result, a data center in the future, for example, will not consist only of servers, but of a wide range of solutions.
8. Spatial computing
With the growth of VR, AR and mixed reality, Gartner sees spatial computing growing explosively over the next decade.
The potential ranges from specific business applications to consumer uses such as virtual monitors and entertainment solutions, with the market expected to exceed $1.7 trillion by 2033.
Right now, however, the consumer market does not seem to be quite ready for AR applications or VR headsets.
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9. Polyfunctional robots
Traditional robots are often designed to perform one specific task. Polyfunctional robots, however, can perform multiple tasks, making them more flexible in different applications.
Gartner predicts that by 2030, 80 percent of people will interact with smart robots on a daily basis. No price or minimum required functionality is known today.
10. Neurological improvement
One of the most futuristic trends is the use of bidirectional brain-computer interfaces (BBMIs) to improve cognitive skills. For this, new technologies should be able to read and decode brain activity. Education can thus be personalized and older people can work longer this way.
Gartner expects that by 2030 about 30 percent of knowledge workers will use such technologies to stay relevant in the age of AI, although their adoption is still uncertain.
These 10 trends show how technology is evolving on a variety of fronts, from AI and security to sustainable computing and improved brain activity. They also highlight the need to address ethical issues, security risks and energy management as technology advances.