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Editor’s note: Gartner’s technology trends 2025 report is here and we’re decoding it to give you a clear perspective of these tech trends, to help you be better prepared for them! These 10 top 10 technology trends for 2025 cover a range of activities across different functions.
Every year Gartner comes up with a list of upcoming technologies in 2025 that “drive you faster towards your business goals.” And this years’ report on the Top Strategic Tech Trends 2025 is no different. As expected, technologies related to AI has made it to the list. But AI is not the ‘only trend’, it is nearly in all the trends. The future is unfolding to be multiple faces of AI – let’s see how they impact companies.
Gene Alvarez Distinguished VP Analyst, Gartner
Gartner has broken down these ten technology trends into three key areas: AI Imperatives and Risks, New Frontiers of Computing, and Human-Machine Synergy. Mastering even one can bring substantial improvement in your conventional business model.
As organizations understand the complex landscape, the strategic imperatives identified by Gartner will require more thoughtful consideration and decisive action to see any substantial benefit.
Let’s explore Gartner's Top Strategic Technology Trends 2025 now. You can catch the video here:
Google has also launched Gemini 2.0 for the Agentic AI era, it shows how companies have started preparing in advance for an era of intelligence.
The key difference from traditional AI is autonomy, i.e., instead of just responding to commands, agentic AI takes initiative and figures out the steps needed to accomplish a task, much like a human assistant would.
Gartner anticipates that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, up from 0% in 2024.
Some of the use cases in real life: In retail, agentic AI can be integrated into inventory management systems. For instance, an agentic AI system can analyze sales data and inventory levels, and by matching it with the predicted demand fluctuations, it can autonomously reorder stock which can be then approved or rejected by humans.
With the growing use of AI platforms – Ethics have become a central part of all conversations. Not just AI, Responsible AI is what brands are looking for. And AI Governance platforms are at the heart of this transformation. These are designed to manage the ethical and legal aspects of AI while helping users understand the operational viability of AI within the compliance boundary. Hence, they enable organizations enforce policies and ensure compliance which makes it easier to implement responsible AI.
According to Gartner, by 2028, organizations using AI governance platforms will see 30% higher customer trust ratings and 25% better regulatory compliance.
In the financial services sector, AI governance platforms can be utilized to manage compliance and risk associated with algorithmic trading systems. These platforms can monitor trading algorithms by automating compliance checks and providing audit trails. Which helps adherence to regulatory requirements, ensuring transparency and accountability.
Gartner predicts that by 2028, 50% of enterprises will adopt products, services or features specifically to address disinformation security use cases, up from less than 5% in 2024. This is not a surprise considering the increase in the scams and frauds being committed with deepfakes (we’ve seen a lot these especially during the 2024 Elections).
Disinformation security technologies can help detect, track, and counteract misinformation like: phishing, deepfakes, malwares, or initiating takeovers. With disinformation security you can ensure information accuracy, verify authenticity, while measuring the spread of content that could harm organizations.
By detecting false narratives in real-time, organizations can respond proactively to protect their credibility and maintain audience trust especially related to their brand reputation.
Everyone knows that Quantum computers are going to be the norm in the next decade. Yet by 2029, advances in quantum computing will make asymmetric cryptography unsafe and by 2034 fully breakable. In simple terms, the current cryptography, which rely on complex mathematical algorithms like Shor’s algorithm, can be easily solved by quantum computers.
Therefore, there is a need for Post-quantum cryptography which leverages mathematical problems that are believed to be difficult for quantum computers to solve like lattice-based, code-based, hash-based, or multi-variate polynomial cryptography. Given that the criminals are already adopting a “harvest now, decrypt later” mentality – bringing in PQC now will future proof systems to protect their data integrity and maintain security in a quantum-enabled world.
Do we really notice the electricity or the internet now? Not unless they’re absent right?
The future of tech is definitely AI, but it is omnipresent AI, just like Ambient invisible intelligence, which is the widespread use of small, low-cost tags (which start at 0.38$) and sensors to track the location and status of various objects and environments.
This facilitates real-time monitoring and decision-making without requiring labor.
Also read:
Journey of IoT from data streaming to data lakes
According to IBM, data centers account for 3% of annual total energy consumption—an increase of 100% in the last decade. Not to mention the growing influence of LLMs (which have quite the energy consumption). Let’s compare: a single ChatGPT query uses 2.9 watt-hours of electricity, which is 10 times more than a Google search.
Not just AI, Sustainability is also a board-level focus for most organizations. So, energy-efficient computing, which focuses on reducing the energy consumption that is associated with computational processes is the need of the hour.
While conventional processing improvements are reaching their limits, new computing technologies, such as graphics processing units (GPUs), neuromorphic computing and quantum computing, are expected to deliver the substantial energy-efficiency gains needed in the next five to 10 years. It is important to note that, the reduction in energy consumption doesn’t come with compromised performance levels.
Hybrid computing adds to your classical computing by combining it with upcoming technologies in 2025 such as CPUs, GPUs, edge devices, ASICs, photonic, biocomputing, neuromorphic, and quantum capabilities. This allows organizations to leverage the strengths of each of these to solve complex problems.
Organizations adopting hybrid computing strategies can tackle challenges that were previously insurmountable due to computational limitations. This approach positions businesses at the forefront of innovation in their respective fields.
It can be as simple as: Think of it as using the best of both worlds: An organization can keep its sensitive, critical programs running on their own computers (on-site) for better security and control, while using cloud services for tasks that need lots of computing power - like analyzing big data, running AI programs, or storing backups.
Spatial computing integrates physical and digital experiences through technologies like augmented reality (AR) and virtual reality (VR) (Metaverse too). It enables immersive interactions that enhance user engagement. Gartner predicts that by 2028, 20% of people will have an immersive experience with persistently anchored, geoposed content once a week, up from less than 1% in 2023.
The proliferation of 5G and new devices like Apple Vision Pro and Meta Quest 3 are driving consumer demand and opening opportunities for new business models. From creating life-like simulations for hands-on employee training to even creative digital twins spatial computing can optimize experiences.
Polyfunctional robots are capable of performing multiple tasks across various environments, which a little to no adjustments. This opens up flexibility enhancing human productivity in both work and home settings.
Though a lot of companies have been slow to embrace robots with a variety of functions, with the ongoing development and decreasing price points their appeal has been increasing especially in industries like manufacturing and warehousing. We are seeing early adopters leverage robots to handle multiple tasks.
An example of a polyfunctional robot is a quality control robot capable of inspecting whether a part was properly installed and ensuring no debris in or around the workspace.
Not the Black Mirror level implantation to retrieve memories, but to leverage Neurological enhancement technologies to revolutionize health care. Such tech can be used to get real-time feedback on the mental states or emotional well-being of employees or customers. The idea is to explore brain-machine interfaces to help workers upskill and stay competitive by enhancing cognitive abilities or identify changes in the patients’ health/interactions.
One of the use cases in healthcare industry can be the treatment of mental health. By providing real-time feedback as well as a detailed report on individuals, more tailored therapeutic interventions can be designed for each individual.
We're not asking you to invest in all ten of these future technology trends 2025, but it is important to be aware of what’s going to be the future. Because you need to start preparing for it.
For example, take agentic AI: with it you can automate customer experiences by using data analysis to make highly calculated decisions at each step – but before you get started with the Agent – you need to have a right data collection and storage environment in place to ensure that you have the data before the analysis.
TLDR: AI is everywhere and Everything has AI. But the nuance and the inclusion varies by implementation and need.
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When you theorize before data - Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.
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