We’re well into 2025 at this point, so it’s worth asking: How’s your updated IT strategy?
After 2024 brought a seemingly constant stream of applications and plug-ins powered by artificial intelligence (AI) and articles buzzing about it, it’s unsurprising that AI has continued its domination in 2025, and to an even greater extent. And that’s invited a surge of concerns about privacy and ethics.
At Naviant, we’re all about constant improvement. In this blog, we invite you to review the top 10 2025 technology trends that have been taking over in 2025 thus far. Maybe it’ll even help you refine your existing projects and strategy.
10 Technology Trends to Strengthen Your Business Strategy in 2025
1. Agentic AI
Agentic AI is a term that’s less pervasive than other AI-adjacent terms, but it comes from the word “agency.”
Some AI tools are designed with more agency over their actions than others, with low agency tools being more static, reactive, and requiring more supervision and simple instructions, and high agency tools being more adaptive, independent, and capable of achieving complex goals in more complex environments – that’s agentic AI.
AI tools that are considered agentic AI combine existing AI techniques with new capabilities like planning, memory, awareness of its environment, and following safety guidelines to reach goals without your intervention.
It’s no surprise that this ability to act autonomously is expected to grow in popularity either, as this combo of capabilities is well equipped to boost organizational productivity. After all, whose AI integration strategy doesn’t involve increased productivity?
Some use cases expected to take off for agentic AI include:
Rising Agentic AI Use Cases
Customer Experience
Applying agentic AI to customer experiences by letting it analyze data and make personalized decisions based on it.
Data Analysis
Using agentic AI to analyze data faster and apply prediction intelligence, allowing for faster and more informed decision-making.
2. Emerging Technologies That Fight Against Disinformation and Deepfakes
As AI integration keeps rising in popularity and complexity, the question of ethics, fact-checking, and security will only become more important. And that’s where disinformation security comes into play.
It’s designed to help you narrow down what sources are trustworthy, ensuring that the information you take in is accurate and free of any impersonation or harmful content. To get there, it offers deepfake detection, which uses generative AI, or gen AI, tools and digital forensic technology to determine what’s real and what isn’t.
It also can prevent impersonation attempts by evaluating user behavior on a holistic level beyond what a human easily could accomplish, and that allows it to validate authentic actions and call out suspicious activity. It’s even designed to protect you from potential bad actors that could attack your organization.
With phishing, smishing, and social engineering being increasingly pressing issues these days, it’s no wonder why organizations are taking proactive measures to protect themselves with tech like disinformation security.
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. -Gartner
3. AI Governance Platforms
To return to the theme of AI ethics, AI governance platforms are designed to help you manage and control your AI systems to make sure they are being used responsibly and ethically.
This way, you can protect yourself from risks like bias and privacy issues, which become more urgent as organizations pursue AI integration more and more across the organization.
Plus, you can rest assured that your AI solutions are transparent and held accountable while meeting industry standards for ethics.
And that’s huge because as helpful as AI can be, every organization should aim to achieve an AI strategy that aligns with its own corporate values.
It can be used in a variety of ways, like:
AI Governance Platform Use Cases
System Tracking
It can be used to track your users’ system usage, monitor the system’s performance, and track decision-making processes.
Compliance
It can audit your system over time to ensure it’s in compliance with governance standards.
Risk Mitigation
It can monitor potential risks that AI may pose, from bias to privacy concerns.
4. Spatial Computing
Spatial computing provides immersive, realistic, hands-on experiences by “anchoring” digital content in the real world. In practice, that could mean:
Spatial Computing Use Cases
Enhanced Collaboration
Making remote meetings more interactive and engaging by collaborating with your coworkers in an immersive 3-D environment. This can help bring remote teams closer together and make meetings more effective.
Immersive Training
Implementing realistic simulations into your employee training program to allow for hands on learning. Having this hands on approach available can both cut training costs and help employees learn and retain new skills faster.
Virtual Assistants
Using an interactive virtual assistant while shopping. Stores that have tried this so far have found that it drives higher engagement and sales.
Spatial computing’s rise truly is the natural result of all the advances we’ve been seeing in AI, augmented reality (AR), and mixed reality (MR) technologies.
Not to mention the fact that more people are getting accustomed to the prevalence of 5G and the presence of virtual reality devices like Meta Quest 3, Oculus Pro, and Apple Vision Pro.
Gartner is currently predicting that the market will grow from $110 billion in 2023 to $1.7 trillion by 2033.
It’s all about finding creative ways to use emerging technology to enjoy benefits like the ones we explored in the above use cases.
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. -Gartner
5. Hybrid Computing
You’ve likely heard of the hybrid cloud approach, where organizations combine a private and public cloud and enjoy the benefits of both simultaneously.
Hybrid computing isn’t far off from that concept, combining various technologies like CPUs, GPUs, edge devices, quantum and photonic systems, and more to solve complex problems.
What is Business Orchestration and Automation (BOAT)?
Like hybrid cloud, computing technologies are simply stronger when combined. You may have heard of Business Orchestration and Automation (BOAT), which is another term that will likely be everywhere in 2025. It’s a management approach where organizations combine different automation technologies, allowing seamless data integration across an organization’s entire stack of platforms.
In this same vein, hybrid computing provides an orchestration layer that splits your end-to-end workflows across available computing, integrating your data through a universal data fabric.
As a result, you can enjoy high levels of operational efficiency, even better access to your cross-platform data no matter what system you’re working in, and other new capabilities that extend to a wide range of use cases.
The reason for this trend’s upward trajectory, according to industry professionals, is pretty straightforward: Classical computing can’t handle the needs of GenAI and many simulations, while hybrid computing can.
6. Polyfunctional Robots
You’ve heard of RPA. Now, meet polyfunctional robots. Machines that can perform multiple tasks after being given examples or instructions to follow.
A primary reason for their significant growth is their immense flexibility in both how they operate and their design.
As labor costs and the demand for better ROI skyrocket, more organizations are deploying these robots to handle multiple tasks with the hopes that their flexibility will allow them to pivot to other tasks as needs change.
It’s been especially useful in healthcare and manufacturing environments, being used for tasks like:
Polyfunctional Robots Use Cases
- Delivering medical supplies
- Performing routine maintenance
- Repairing breakdowns in hazardous or remote locations
- Assisting with patient mobility
- Disinfecting spaces
- Packing and transporting items
- Inspecting equipment
By 2030, 80% of humans will engage with smart robots on a daily basis, up from less than 10% today. -Gartner
7. Post-Quantum Cryptography
Post-quantum cryptography (PQC) Is designed to help secure organizations against the potential threats posed by quantum computers.
As quantum computing grows in its prevalence, which is expected to be within the next decade, it’ll become increasingly important to be proactive in protecting one’s data security.
Criminals are well aware of this incoming shift, and are already planning to exfiltrate encrypted data today in hopes of being able to decrypt it down the road as quantum technology becomes advanced enough to do so.
And the threat is real, with Gartner predicting that by 2029, advances in quantum computing will make most conventional asymmetric cryptography unsafe to use.
To fight back and prepare for this reality, more organizations are starting to prepare for PQC to protect themselves from quantum decryption. Specifically, PQC can be used for:
Post-Quantum Cryptography Use Cases
- Safeguarding intellectual property from cyber threats
- Ensuring that your sensitive financial data is going to be secure in a quantum computing world
- Preventing your encrypted messages, contracts, and data from being decrypted
8. Voice User Interfaces (VUIs)
Voice user interfaces (VUIs) like smart speakers and voice controlled virtual assistants are becoming increasingly prevalent in the home and workplace offering a more natural conversational, and hands freeway to interact with technology and streamline tasks.
Organizations are finding new creative ways to apply them to their operations to take advantage of the operational efficiency and convenience gains they can provide, as well as their strengths in accessibility.
Voice User Interfaces Use Cases
- Managing your schedule through voice commands
- Helping elderly patients access emergency services instantly or manage medication schedules
9. Ambient Invisible Intelligence
Ambient invisible intelligence refers to the use of small tags and sensors that are used to track the status and location of objects in environments.
This might sound reminiscent of devices like Apple Air Tags or Tile tracking devices, but these technologies will be built into everyday objects in more subtle ways and offer far greater flexibility for use cases.
The information that these sensors take in is sent to the cloud for analysis and recording, offering organizations real-time visibility and a new, comprehensive data source for other AI and analytics technologies organizations might have.
Ambient Invisible Intelligence Use Cases
Sensor-Enhanced Retail Experiences
Using sensors in a physical retail environment to automatically adjust music or lighting based on customer behavior.
Patient Safety in Healthcare
Being able to monitor patients in health care environments without needing them to wear any kind of device, allowing for a more comfortable monitoring method and enabling real-time responses to emergencies beyond what a wearable device could provide.
10. Energy-Efficient Computing
Embracing a sustainable technology was a key trend in 2024, and in 2025, we’re continuing that focus with energy-efficient computing. This term refers to the phenomenon of designing operating computers, data centers and other digital systems with sustainability top-of-mind.
This could include concerns like minimizing one’s carbon footprint and energy consumption, which could come through greener power sources and more efficient code and algorithms.
The need for this trend stems from the fact that conventional processing improvements are reaching their limits, calling for new computing technologies to save the day, like graphics processing units (GPUs), neuromorphic computing, and quantum computing.
Gartner expects for these technologies to deliver the energy efficiency gains that are currently needed in the next five to 10 years alone.
Beyond protecting the planet for future generations, these measures can save money for data centers by both reducing power consumption of servers and cooling systems as well as using smart power management systems.
Here’s to a New Year of Future Growth
Examining these tech trends reveals that it’s never been more important for organizations to balance creative AI innovation with next-generation security measures and the consideration of ethics at every turn. And organizations that carefully navigate these priorities won’t just cement themselves as industry leaders and protect themselves from tomorrow’s threats, but with the right change management approach, they’ll help their employees embrace proactive change and continual improvement.
We look forward to navigating these changes with you in the coming months and beyond and helping you reach your organization’s goals along the way.
