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Top 10 Technological Breakthroughs to Watch in 2025

From Agentic AI to Hybrid Computing: Tech Trends of 2025

Written By : IndustryTrends

As the world of technology grows faster every day, 2025 is expected to be a vital year for revolutionary advancements in tech trends worldwide. Here’s a look at the top 10 technology trends worldwide expected to dominate 2025.

Agentic AI, also known as Autonomous AI, is a type of artificial intelligence that can take actions, adapt in real-time, and solve problems on context and objectives. It is a successor of traditional AI systems that used to rely on predefined rules and the lack of ability to learn and adapt. Agentic AI can be used in the healthcare sector for analyzing medical data and assisting in diagnosis and treatment; used in finance for making investment decisions; used in the manufacturing sector for optimizing the production process and improving quality; used in transportation for traffic management and logistics control; used in customer service to assist 24/7 in resolving queries. Simply put, Agentic AI will empower machines to learn and think more like humans, thus opening up new possibilities for innovation and problem-solving.

Disinformation Security is a field that focuses on protecting individuals and organisations from the harmful effects of disinformation or misleading statements. Disinformation security involves a large number of strategies and technologies that are implemented to identify, counter, and control the spread of wrong information. Disinformation security involves the detection and combating of false and misleading information with the help of advanced AI tools and social media monitoring; counter-measuring false information; creating technological solutions like blockchain for verifying the authenticity of the information, cryptography to secure communication and data integration, etc.

The AI Governance platforms are software solutions that are made to help individuals and organizations manage and oversee the ethical, legal, and operational performance of their AI systems. This platform provides a wide variety of tools and features to ensure that the AI is developed and working responsibly without any hindrance. The AI Governance identifies and assesses any risk related to AI systems such as bais output, fairness, and other security vulnerabilities; tracks and regulates any industry standards; identifies and eliminates bias in AI algorithms and data; and brings ethical guidelines for the development of AI and its usage.

Post-quantum cryptography or PQC is developing a software system that can protect data even against powerful quantum computers that can break many current encryption methods. This technology works by developing new cryptographic techniques that are secure from quantum-based attacks. The PQC algorithm depends on mathematical problems that are considered to be difficult for both classical and quantum computers to solve. Some techniques in PQC include Lattice-based cryptography, code-based cryptography, hash-based cryptography, and  Isogeny-based cryptography. As quantum computing technology advances, and so the urgency for PQC in 2025 increases.

Hybrid computing is a technological system that combines a business’s local infrastructure like servers and storage along with cloud-based services. This setup lets the company use the strength of both the systems, the control and security of on-premises systems and the scalability of clouds. This combining of local infrastructure with cloud services makes the operation smooth and efficient. It reduces the cost by shifting the less critical tasks to the cloud, ensures backup for emergencies by storing key data online, simplifies large data processing with flexible tools, and allows smooth app development using both systems. By using the capability of both systems, Hybrid computing will enable any organisation to ensure greater efficiency and innovation in business.

Neurological enhancement is the use of various techniques that improve cognitive development such as memory, attention, and problem-solving skills. This is one of the most awaited technological advancements that represents the intersection of neuroscience and technology to improve overall cognitive function and brain development. Neurological enhancements can be achieved with a variety of non-prescription methods like Brain-computer interface (BCI), Transcranial direct current stimulation (tDCS), neurofeedback, cognitive training, etc.

Some other technological trends to look out for in 2025

According to Gartner, below are some of the technological trends and advancements that are expected to take innovation to a different level.

Ambient invisible intelligence or AII is the widespread use of small, low-cost tags and sensors that help to track the location and status of various objects and environments. It is a world where technology is all around you but you don’t see it working. It is a helpful assistant who knows what you need even before you ask. For example, A smart home, where you walk in, lights turn on, music plays your favourite tune, and temperature sets according to your comfort. There’s no need to press any button or give commands.

Spatial Computing is a technology that is a blend of digital and physical worlds. This technology allows us to interact with computers more naturally by using gestures, voice commands, and even eye movements. Some of the technologies that enable spatial computing are Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR).

Polyfunctional robots are machines that are designed to perform multiple tasks across various fields and industries. These robots are developed with modular architectures, software algorithms, multi-sensory inputs, etc. that enable them to adapt to function a wide range of operational demands without significant reprogramming or hardware adjustments. By 2025, Polyfunctional Robots will be revolutionising industries by reducing the cost, and workload of labourers, increasing efficiency and safety, etc.

Energy-efficient computing is a field that focuses on developing computer systems that minimise energy consumption while maximising performance. It is a very important aspect of sustainable technology that aims to reduce any environmental effect of computing and lower operating costs. By designing energy-efficient processors, memory chips, dynamic frequency scaling, voltage scaling, energy-efficient cooling systems, energy-aware software, and advanced cooling systems, the energy can be minimised while getting the maximum output.

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