Tech trends for the coming year cover a wide range of areas, such as artificial intelligence, quantum computing, spatial technologies and hardware development. Deloitte analysts have compiled a report highlighting the key trends that will shape technology in the coming year. Komputerra has studied the report and reviewed the key trends in this article.
Artificial intelligence is everywhere
AI is becoming an integral part of life, like electricity or the Internet. By 2025, it is expected to be used in almost every area, from optimizing urban traffic to personalizing healthcare.
Generative models such as large language models (LLM) will continue to evolve, but the focus will shift to using more compact models capable of solving highly specialized problems. Such approaches will provide greater efficiency and resource savings. According to experts, the future belongs to “agent AI”, capable of not only analyzing data, but also performing specific tasks, such as automating business processes, managing supply chains, or creating personalized recommendations for users.
As AI becomes more popular, the need to integrate it into various devices and applications also increases. For example, intelligent assistants will be able to perform complex actions based on the analysis of historical data, which will open up new horizons for automation. Experts note that the development of AI raises issues of ethics and safety that require active attention. Moreover, the integration of AI into everyday life will be accompanied by a change in the labor market: many professions may transform or disappear altogether, giving way to new roles related to the management and development of AI technologies.
Spatial technologies and their integration with AI
Spatial computing is gaining attention due to its ability to merge the physical and digital worlds. It enables new ways to interact with data through 3D models, digital twins, and augmented reality. For example, in the medical field, this will allow doctors to visualize patients’ anatomy in real time, and in construction, to model objects before they are physically built.
The combination of spatial technologies and AI creates the basis for new forms of interaction. Future systems will be able not only to display data, but also to suggest optimal actions based on situational analysis. For example, in logistics, such systems will be able to model delivery routes in real time, taking into account weather conditions, traffic jams, and other factors.
The development of these technologies can also revolutionize education by providing interactive and adaptive learning platforms. Spatial technologies are also becoming particularly relevant in manufacturing processes, where digital twins allow operations to be simulated and optimized before they are actually carried out, saving resources and time.
Hardware comes to the fore
After years of software dominance, hardware is once again becoming a key element of technological innovation. Growing AI demands require specialized computing chips. This is leading to a growing market for AI devices and personal computers with built-in AI chips. Such devices provide autonomous computing, which reduces the load on cloud services and improves data security.
However, this trend comes with challenges in the energy sector: data center energy consumption is expected to increase significantly. To address this, companies are investing heavily in energy-saving technologies such as renewable energy and optimized cooling systems. In addition, a new class of devices is emerging that can perform computations right at the “edge” of the network, minimizing latency and reducing dependence on centralized servers.
In the future, hardware development will go beyond specialized chips. Devices will begin to integrate AI into things like smart home control systems, autonomous cars, and wearables. This will lead to fully autonomous solutions that can adapt to changing environmental conditions.
Quantum Computing and New Approaches to Cryptography
With the advent of quantum computers in the next 5-20 years, current encryption methods may become vulnerable. That’s why companies are already starting to implement post-quantum cryptographic standards. This process takes time, but it cannot be delayed to ensure the security of data and communications in the future.
Quantum computing also opens up new possibilities for data analysis and modeling of complex systems. For example, it could be used to develop new drugs or optimize global logistics networks.
Experts note that companies that start investing in these technologies now will be able to gain a significant competitive advantage. In addition, quantum technologies will be actively used to solve problems that require high-precision calculations, such as financial modeling or predicting climate change.
Digital transformation of core systems
Key enterprise systems are being transformed by AI. Integrating AI into core systems enables automation of routine operations and the creation of more intelligent processes. However, this complicates the architecture of such systems, requiring deep technical expertise and a strategic approach to modernization.
In addition, new technologies help to improve the transparency and usability of such systems. For example, the integration of AI allows for more accurate demand forecasting and resource management. However, it is important to consider that automation should not completely replace human control, especially in critical areas such as healthcare or finance. In parallel, enterprises will be forced to strengthen their cybersecurity efforts to protect updated systems from new threats.
The Power of Technology Intersections
One of the new strategies for innovative development is the combination of different technologies and industries. For example, combining spatial technologies with AI can accelerate the development of solutions for logistics or healthcare. Such targeted intersection opens up new market opportunities and strengthens the competitive advantages of companies.
A striking example is the interaction of AI with robotics. This allows the creation of autonomous systems capable of performing complex tasks, such as collecting data in conditions dangerous to humans. Such technologies can also be used in agricultural technology, helping to optimize crop cultivation processes. Moreover, the integration of technologies in smart city ecosystems will optimize resource management and improve the quality of life of citizens.
Conclusions
In 2025, technology will largely evolve around artificial intelligence, creating smarter, more sustainable, and more intuitive solutions. In addition, spatial computing, new hardware, and preparation for the era of quantum computing are shaping a future in which technology will become even more integrated into our daily lives.
Companies that take action today will not only adapt to new conditions, but also become leaders. Investments in advanced technologies, training specialists and implementing flexible strategies will allow them to use the potential of innovation to the maximum. Successful market players are already paving the way to a sustainable and efficient future, creating products and services that will form the basis of tomorrow’s world.
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