Tracking technology trends for 2025 is essential for organizations aiming to stay competitive in an era of rapid innovation. Gartner’s annual report serves as a “star map,” providing invaluable insights to navigate the evolving digital landscape while addressing challenges in security, sustainability, and operational efficiency.

For CIOs and IT leaders, these trends are not just predictions but actionable strategies that can shape the future of business. By leveraging Gartner’s insights, organizations can align their digital transformation goals with emerging opportunities, ensuring resilience and success in an increasingly tech-driven world. 

Let’s explore the top 10 recent trends in technology for 2025 with Kyanon Digital in this blog.

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2025 Gartner Top 10 recent trends in technology

2025 Gartner Top 10 recent trends in technology (Source: Gartner)

Gartner has identified these 10 technology trends for their ability to disrupt traditional business models, drive innovative solutions, and tackle the most critical challenges enterprises face today. These trends represent strategic imperatives that demand careful evaluation and decisive action to leverage their transformative potential.

• AI imperatives and risks
• New frontiers of computing
• Human-machine synergy

Trend 1: Agentic AI

Agentic AI refers to software systems designed to autonomously make decisions and take actions to achieve specific goals. These systems integrate diverse AI techniques with capabilities such as memory, planning, environmental sensing, tool utilization, and adherence to safety protocols, enabling them to perform tasks independently and effectively reach their objectives.

The AI agency gap (Source: Gartner)

Gartner predicts

By 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, up from 0% in 2024. 

Why trending?

Agentic AI’s capability to act autonomously or semi-autonomously presents a significant opportunity for CIOs to leverage generative AI in driving productivity across organizations. By combining decision-making, planning, and task execution, Agentic AI aligns with the latest technology trends, empowering businesses to achieve operational efficiency and innovation.

Use cases

• Empowering workers to handle and oversee complex, technical projects—ranging from microautomations to large-scale initiatives—using natural language processing tools.
• Automating customer experiences by leveraging data analysis to make precise, calculated decisions at every stage of the journey.
• Transforming decision-making and enhancing situational awareness in organizations through faster data analytics and advanced predictive intelligence.

These advancements reflect key technology trends driving innovation and operational efficiency across industries.

Trend 2: AI Governance Platforms

AI governance platforms play a pivotal role in managing and controlling AI systems by promoting responsible and ethical use. These platforms enable IT leaders to ensure AI systems are reliable, transparent, fair, and accountable while adhering to safety and ethical standards. 

By aligning AI with organizational values and societal expectations, they address key trending techs building trust and accountability in AI-driven innovation.

AI governance platforms elements (Source: Gartner)

Gartner predicts

By 2028, enterprises using AI governance platforms will achieve 30% higher customer trust ratings and 25% better regulatory compliance scores than their competitors.

Why trending?

AI is increasingly being deployed across industries, including those with strict regulatory requirements, reflecting a significant technology trend. However, its expansion brings challenges such as bias, privacy concerns, and the need for alignment with human values.

Ensuring that AI does not harm specific groups, manipulate markets, or compromise critical systems is vital to fostering ethical AI adoption and maintaining trust in its applications.

Use cases

As organizations navigate the latest technology trends, it becomes crucial to assess the potential risks and harms that AI systems may pose, including bias, privacy violations, and broader societal impacts. Addressing these challenges is central to shaping new technology trends and ensuring ethical adoption.

Key practices include guiding AI models through robust model governance processes to implement appropriate controls throughout the model life cycle. Additionally, tracking usage, monitoring AI system performance, auditing decision-making processes, and maintaining alignment with governance standards are essential for leveraging booming technology responsibly.

These efforts reflect the growing importance of recent tech trends in advancing trustworthy and accountable AI systems.

Trend 3: Disinformation Security

Disinformation security is a critical component of the recent tech trends, aimed at identifying and ensuring the trustworthiness of information. As new technology trends evolve, the goal is to build systems that guarantee accurate information, verify authenticity, prevent impersonation, and track the spread of harmful content. 

These efforts are essential in addressing latest technology trends and maintaining a secure digital environment amidst the rise of recent tech trends.

What is disinformation security? (Source: Gartner)

Gartner predicts

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.

Why trending?

Adversaries aim to spread fear, cause disruption, and commit fraud, amplifying disinformation through phishing, hacktivism, fake news, and social engineering. As AI and machine learning tools advance and become more accessible, new technology trends suggest that disinformation targeting enterprises will continue to rise, presenting significant and enduring risks if left unaddressed. These challenges are shaping  new tech trends and require proactive measures to mitigate potential harm in the face of recent tech trends.

Use cases

Detecting the use of synthetic media in authorized contexts is a crucial part of managing disinformation security, especially for verifying authenticity, real-time communications, and claims validation. As recent trends in technology evolve, intelligence monitoring becomes increasingly important for tracking narratives spread through mass or social media, particularly those targeting executive leadership, products, services, or brands.

Additionally, preventing the impersonation of individuals—such as employees, contractors, suppliers, and customers—is essential to protect businesses from growing recent tech trends in digital deception. These practices are aligned with latest tech trends that focus on safeguarding organizational integrity and trust.

Trend 4: Post-Quantum Cryptography (PQC)

Post-quantum cryptography (PQC) refers to cryptographic techniques developed to be secure against the potential threats posed by quantum computers. 

As the latest trending techs unfold, PQC is becoming essential to protect data and systems from the capabilities of quantum computing, ensuring long-term security in the face of evolving recent tech trends.

Crypto-agility timeline (Source: Gartner)

Gartner predicts

By 2029, advances in quantum computing will make most conventional asymmetric cryptography unsafe to use.

Why trending?

Quantum computing is set to become a reality within this decade, potentially rendering many conventional cryptographic methods obsolete and posing a significant risk to data security. As new technology trends indicate, criminals are already preparing for this shift by adopting strategies like “harvest now, decrypt later,” where they exfiltrate encrypted data, anticipating that quantum technology will eventually allow them to decrypt it. 

This emerging threat has accelerated the need to adopt post-quantum cryptography (PQC), which provides crucial protection against quantum decryption, aligning with the latest technology trends to safeguard data in a quantum-enabled world.

Use cases

Future-proofing your systems is essential to ensure sensitive financial data remains secure even in a quantum computing world, addressing the tech trends in cybersecurity. Safeguarding intellectual property from cyberthreats, including quantum attacks, is crucial to prevent competitors or hackers from decrypting confidential information. 

Additionally, ensuring that encrypted messages, contracts, and operational data cannot be intercepted or decrypted by quantum-powered adversaries is a key consideration in new technology trends, aligning with recent tech trends focused on advancing security measures in the face of quantum advancements.

Trend 5: Ambient Invisible Intelligence

Ambient invisible intelligence refers to the integration of small, low-cost tags and sensors into everyday objects to track their location and status, sending this data to the cloud for analysis and record-keeping. As technology trends evolve, this invisible intelligence will be seamlessly embedded in various environments, often unnoticed by users. This emerging trend is part of the latest technology trends in the Internet of Things (IoT) and data analytics, driving automation and efficiency across industries by providing real-time insights and enabling smarter decision-making.

Examples of ambient invisible intelligence (Source: Gartner)

Gartner predicts 

Through 2028, early examples of ambient invisible intelligence will focus on solving immediate problems by enabling low-cost tracking and sensing of items, reducing cost or improving efficiency.

Why trending?

The technology behind low-cost tags and sensors has become more affordable, making it economically attractive for organizations. Offering real-time visibility, it is especially valuable to supply chains and could expand into broader ecosystems as technology trends evolve. 

Advances in wireless standards like Bluetooth and cellular networks, along with emerging technologies such as backscatter and printed electronics, will support new use cases. This ambient invisible intelligence will also serve as a crucial data source for AI and analytics, enhancing products and processes, aligning with booming technologies focused on automation, optimization, and smarter decision-making.

Use cases

• In a retail environment, ambient invisible intelligence can automatically adjust lighting, music, and product recommendations based on customer behavior, enhancing the shopping experience.
• In the workplace, this intelligence can monitor how employees use office spaces and automatically adjust environmental factors such as temperature and lighting, optimizing comfort and productivity.
• In healthcare, it enables continuous patient monitoring without the need for wearable devices, allowing for real-time responses to emergencies and improving patient care.

These use cases align with the latest technology trends in automation, AI, and the Internet of Things (IoT), driving smarter and more adaptive environments across industries.

Trend 6: Energy-Efficient Computing

Energy-efficient computing involves designing and operating computers, data centers, and other digital systems in ways that minimize energy consumption and reduce the carbon footprint. As recent tech trends evolve, this focus on sustainability is becoming a key component of latest technology trends, driving innovations in green computing and contributing to a more environmentally responsible tech industry.

Controlling the sustainability of IT (Source: Gartner)

Gartner predicts 

The leading consideration for most IT organizations today is their carbon footprint.

Why trending? 

Sustainability has become a board-level focus as IT continues to significantly contribute to environmental footprints, particularly in energy-intensive industries like financial services and IT services. As trending techs such as AI drive higher energy consumption, traditional processing improvements are reaching their limits. 

However, emerging computing technologies, including graphics processing units (GPUs), neuromorphic computing, and quantum computing, are expected to deliver the substantial energy-efficiency gains needed in the next five to ten years, aligning with latest technology trends focused on sustainability and green computing.

Use cases

• Cutting data center costs by reducing the power consumption of servers and cooling systems is a critical step in addressing sustainability challenges in IT, aligned with recent tech trends in energy-efficient computing.
• Sustainable product development is becoming a priority, leveraging energy-efficient computing to design products that consume less energy, reducing the environmental impact of tech innovations.
• Implementing smart power management systems can help reduce power consumption across office networks, driving more efficient and environmentally responsible operations in alignment with latest tech trends.

Trend 7: Hybrid Computing

Hybrid computing combines a variety of technologies, including CPUs, GPUs, edge devices, ASICs, as well as neuromorphic, quantum, and photonic systems, to solve complex computational problems. By creating a hybrid environment, it leverages the strengths of each technology, aligning with new technology trends that focus on optimizing performance and efficiency for diverse use cases.

This approach is key to driving innovation in latest technology trends and enabling more powerful, flexible, and energy-efficient systems.

A simplified hybrid computing architecture (Source: Gartner)

Why trending?

Hybrid computing empowers businesses to harness cutting-edge technologies like photonic, biocomputing, neuromorphic, and quantum systems to achieve disruptive impact. One key example is GenAI, where solving complex problems necessitates advanced computing, networking, and storage on a large scale. This approach aligns with recent trend in technology and demonstrates how hybrid environments can optimize performance and drive innovation across industries.

Use cases

• Cost-efficient scalability allows businesses to keep critical workloads in-house for security reasons while utilizing the cloud to handle peak loads during busy seasons, aligning with new technology trends for flexibility and cost optimization.
• Enhancing data security and compliance involves storing sensitive data on-premises to meet strict privacy regulations, while leveraging the cloud for less sensitive operations or analytics, addressing both security and efficiency needs in recent tech trends.
• Accelerating innovation and development is made possible by using cloud-based development tools while maintaining secure, on-premises environments for production, demonstrating the power of hybrid computing and latest technology trends to drive faster, more secure innovation.

Trend 8: Spatial Computing

Spatial computing enhances the physical world by “anchoring” digital content in the real world, allowing users to interact with it in an immersive, realistic, and intuitive way. As technology trends evolve, spatial computing is becoming a key enabler of booming technology such as augmented reality (AR) and virtual reality (VR), transforming how we engage with digital environments and driving innovation across industries.

3 layers enabling spatial computing (Source: Gartner)

Gartner predicts

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.

Why trending? 

Spatial computing is gaining momentum due to advancements in augmented reality (AR), mixed reality (MR), and AI technologies, creating immersive digital environments across sectors like gaming, healthcare, and e-commerce. Proliferation of 5G and new devices like the Apple Vision Pro and Meta Quest 3 are driving consumer demand and creating opportunities for innovative business models. 

As major companies like Nvidia and Qualcomm develop ecosystems, the spatial computing market is expected to grow from $110 billion in 2023 to $1.7 trillion by 2033, reflecting the latest technology trends reshaping industries.

Use cases

• Collaborating with your team in immersive 3D environments enhances remote meetings, making them more interactive and effective, in line with new technology trends that foster better team engagement and productivity.
• Creating lifelike simulations for employee training allows for hands-on learning experiences, reducing training costs and risks while improving skill acquisition and retention, reflecting tech trends in immersive learning.
• Navigating stores and making purchasing decisions with an interactive virtual assistant enhances the shopping experience, driving higher engagement and sales, aligning with recent tech trends in e-commerce and consumer experience innovation.

Trend 9: Polyfunctional Robots

Polyfunctional robots are machines capable of performing multiple tasks by following human instructions or examples. These robots are flexible in both their design and operation, adapting to various roles and tasks in a dynamic environment. As part of  latest technology trends, they represent a growing shift toward more versatile and efficient automation solutions across industries, enhancing productivity and reducing operational costs.

Polyfunctional robots: A new wave of physical innovation (Source: Gartner)

Gartner predicts

By 2030, 80% of humans will engage with smart robots on a daily basis, up from less than 10% today.

Why trending?

Polyfunctional robots are gaining traction due to rising labor costs and the demand for improved ROI in industries like warehousing and manufacturing. Vendors are attracting media attention by offering competitive price points, making advanced robotics more accessible. 

With a wide range of pricing and capabilities, early adopters are exploring the potential of these robots to handle multiple tasks, offering flexibility and cost-efficiency that align with technology trends and recent tech trends focused on automation and operational optimization.

Use cases

• In a warehouse environment, polyfunctional robots handle multiple tasks such as picking, packing, and transporting goods, optimizing workflow and increasing efficiency in line with  technology trends in logistics.
• In healthcare, these robots assist with tasks such as delivering medical supplies, aiding patient mobility, or even disinfecting spaces, enhancing operational efficiency and patient care while aligning with new technology trends focused on automation in healthcare.
• In field servicing, polyfunctional robots are used for inspecting equipment, performing routine maintenance, and repairing breakdowns in remote or hazardous environments, offering increased safety and operational effectiveness, in line with recent tech trends in robotics and automation.

Trend 10: Neurological Enhancement

Neurological enhancement refers to the process of improving human cognitive abilities using technologies that read and decode brain activity, with the potential to also write to the brain. This field aligns with technology trends in neurotechnology and brain-computer interfaces (BCIs), offering new possibilities for cognitive augmentation, medical treatments, and human performance enhancement.

How brain-machine interface capabilities will evolve (Source: Gartner)

Gartner predicts

By 2030, 60% of IT workers will be enhanced by, and dependent on, technologies such as bidirectional brain-machine interfaces (BBMIs)—both employer- and self-funded—that are on the rise in 2024.

Why trending? 

Neurological enhancement is trending due to its potential to enable brain transparency, revolutionizing healthcare by offering new treatment options and improving cognitive functions. As AI rapidly evolves, businesses are exploring brain-machine interfaces to help workers upskill and stay competitive by enhancing their cognitive abilities. 

This technology is also being investigated for creating deeper, personalized consumer experiences and interactions, driving next-generation marketing tactics, and aligning with technology trends and latest technology trends in AI and neurotechnology.

Use cases

• Reducing trainee surgeons’ residency duration by a full year is made possible through neurological enhancement, enabling more effective learning and skill acquisition in medical training.
• Personalizing educational material for students in real time allows for tailored learning experiences, increasing engagement and improving learning outcomes.
• Reducing workplace accidents and injuries, as well as industrial disasters, can be achieved by applying neurological enhancement to improve worker focus, awareness, and cognitive performance in high-risk environments.
• Improving recruitment and retention by identifying compatible colleagues using neurodata helps organizations optimize team dynamics and employee satisfaction, driving better performance and long-term success.

Conclusion

Looking ahead to 2025, several technology trends will transform industries and business operations. AI and automation, including generative AI and robotic process automation (RPA), will improve productivity and decision-making, streamlining workflows and reducing costs. Quantum computing will offer new solutions for complex problems in cybersecurity and optimization, pushing computational limits.

Looking to leverage the latest tech trends for 2025? Kyanon Digital is your trusted partner in transforming your business with cutting-edge solutions.

Reach out to Kyanon Digital today and unlock the power of tomorrow’s tech solutions for your organization!