The Latest 15 Information Technology Trends in 2025

The IT world is always on the move: new technologies, tools, and fresh ideas are constantly filling the industry. Let’s take a look at some of the emerging trends in information technology that are likely to define our digital life in the near term.

Latest Information Technology Trends

Information technologies develop symbiotically, inevitably influencing each other: a breakthrough in one area stimulates innovations in others. For instance, new findings in artificial intelligence (AI) and machine learning (ML) trigger the creation of more sophisticated mobile applications or IoT systems. 

Today’s businesses and social spheres depend on and develop due to intelligent technologies, blockchain, cybersecurity, and biotechnology. Understanding the current trends in information technology can place you a step ahead of the competition.

1. Artificial intelligence (AI): solutions that think and learn

Over the past few years, artificial intelligence has dominated tech headlines. Companies of all sizes have begun to introduce AI solutions into their operations and gain real benefits: more efficient workflows, fewer production issues, better customer service, and higher revenue, to name a few.

Here are some impressive stats:

• In 2024, the global AI market size reached $184 billion. By 2030, it is expected to be nearly $826 billion. (Statista)
• In the US, 73% of companies have already adopted AI in some areas of their business. (PwC)
• According to a survey by Gartner, 79% of corporate strategists consider AI and analytics essential for their success in the upcoming two years.

Practical applications of machine learning and artificial intelligence solutions are hard to enumerate. In healthcare, they diagnose diseases, assist in surgeries, and develop personalized treatments (solution example — IBM Watson Health). Retail and ecommerce utilize chatbots and smart product recommendations (solution example — Amazon AI). In the financial sphere, artificial intelligence works hard to detect fraud, forecast stock market tendencies, and automate planning (solution example — Wealthfront robo-advisor).

AI/ML adoption is most prominent in North America, leading the global market share, with Asia and Europe following closely. The sectors experiencing the greatest benefits from machine learning solutions include manufacturing, finance, healthcare, transportation, and security.

Intelligent solutions will be expanding their presence in diverse sectors, leading to expanded human capabilities. Companies that ignore or postpone AI implementation within the next five years will risk falling by the wayside.

2. Agentic AI: artificial intelligence that acts on its own

A growing subset of the artificial intelligence technology is agentic AI, whose distinctive feature is the ability to operate with no or minimal human intervention. If traditional AI systems follow predefined instructions, agentic AI systems are autonomous: they can reason, plan, and make decisions, adapting to dynamic environments — similar to how a human assistant would. Under the hood of such independent agents are machine learning and natural language processing (NLP).

Key characteristics of agentic AI

How is the technology used in practice?

GitHub Copilot X and Devin AI are examples of AI coding agents that can write, debug, and improve code. AlphaFold is a deep learning system created for scientific research. In finance, autonomous trading bots analyze trends on the market and make trades. Smart personal assistants (e.g., advanced versions of Gemini, ChatGPT, Claude) manage emails, schedule meetings, make reservations, and handle many more tasks proactively. 

3. AI governance platforms: trust and transparency prioritized

As you can see, artificial intelligence is becoming a bigger part of our lives. Apart from obvious benefits, the technology brings in challenges and potential threats as well. Just for the sake of avoiding negative consequences and mitigating AI-related risks, companies turn to AI governance platforms — software solutions that can guarantee your intelligent systems are fair, safe, and follow legal rules.

By 2030, Forrester forecasts that investments in prebuilt AI governance solutions will surge over fourfold, hitting $15.8 billion and accounting for 7% of total AI software expenditures. The sector is expected to grow at a compound annual growth rate (CAGR) of 30% from 2024 to 2030.

Users and stakeholders demand AI solutions they can trust and rely on in terms of data security and the adequacy of decisions taken. That’s why governance platforms act like a watchdog for smart software, tracking how models work, spotting potential problems, and ensuring they don’t make biased or harmful decisions. Thus, they can include tools for bias detection, which help prevent discrimination in hiring or lending; or compliance monitoring tools, which ensure AI follows regulations like the EU AI Act and GDPR. 

Many companies are using these platforms: banks check their AI-powered loan approvals for fairness, hospitals ensure medical AI makes accurate and ethical recommendations, and tech companies monitor AI chatbots to prevent harmful outputs. 

Currently, the most popular AI governance platforms are IBM AI Governance, Google’s Vertex AI, and Microsoft Responsible AI Dashboard.

4. Quantum computing: the future of superfast problem-solving

You may be surprised, but traditional computers are objectively quite slow. As quantum computing is actively maturing now, scientists and tech leaders claim quantum computers to become the backbone of the future digital world.

Quantum computing technology is a way of transmitting and processing information based on the phenomena of quantum mechanics. Traditional computers use binary code (bits) to handle information. The bit has two basic states, zero and one, and can only be in one of them at a time. The quantum computer uses qubits, which are based on the principle of superposition. The qubit also has two basic states: zero and one. However, due to superposition, it can combine values and be in both states at the same time.

Quantum computing principles

Parallelism of quantum computing helps find the solution directly, without the necessity to check all the possible variants of the system states. In addition, a quantum computing device doesn’t need huge computational capacity and large amounts of RAM. Imagine: it requires only 100 qubits to calculate a system of 100 particles, whereas a binary system requires trillions of bits.

With quantum computing, it’s much easier to process large sets of information, which is incredibly beneficial for predictive analytics applications. Further development and widespread adoption of the technology are therefore only a matter of time.

Quantum computing holds great promise in several key areas. In climate science, quantum simulations can model climate change scenarios with greater accuracy. The field of drug discovery benefits from the quantum simulation of molecules to accelerate the drug development process. Quantum algorithms can enhance logistics and supply chain services by optimizing routes for delivery networks. In cybersecurity, it’s becoming possible to create virtually unhackable communication systems through quantum encryption.

5. Extended reality (XR): the future of immersive digital experiences 

Originally confined to the gaming and entertainment worlds, augmented reality (AR) and virtual reality (VR) technologies have since transcended these boundaries. While the gaming and entertainment market continues to flourish, the applications of VR and AR now extend far beyond leisure, encompassing retail, manufacturing, healthcare, and more.

Recent tech advancements resulted in the creation of extended reality (XR) — an umbrella term that includes all immersive technologies that blend the physical and virtual worlds. These include: 

6. Spatial computing: merging digital and physical worlds

Spatial computing is among information technology industry trends, meaning that users are no longer limited to screens, keyboards, or touch interfaces. It combines augmented reality (AR), virtual reality (VR), artificial intelligence (AI), 3D mapping, and IoT sensors to create immersive customer experiences. You can now interact with digital information through gestures, voice, or even eye movements.

The key components of spatial computing are smart connected sensors, wearable devices (AR/VR headsets, smart glasses), 3D mapping software, computer vision solutions, and AI/ML models for data analysis and prediction.

Businesses are already leveraging this technology. Retailers offer virtual try-ons for clothing and accessories, architects visualize buildings in 3D, and surgeons use AR overlays for more precise procedures. The table below depicts other popular use cases.

7. Edge computing: faster and more efficient data processing

Regarded as an evolutionary step beyond cloud computing, edge computing places data processing nodes in proximity to both data sources and consumers. This decentralized paradigm of data handling offers lower latency and a faster and more effective means of extracting important information. Real-time operations in healthcare, smart manufacturing, logistics, and other industries reap a lot of benefits from this approach.

Edge computing is set to witness staggering growth, with projections estimating that by 2025, over 50% of enterprise-generated data will be processed at the edge.

The expansion of the Internet of Things (IoT) ecosystem leads to the escalating volumes of data generated by enterprises, consequently, there is the heightened demand for edge computing devices.

Emerging trends in edge computing

8. Neuromorphic computing: inspired by nature

Neuromorphic computing takes inspiration from the human brain to create systems that mimic neural structures and functioning. You know that general computers use binary logic and sequential processing. Neuromorphic systems, on the contrary, function on the basis of artificial synapses and neurons, so they can process data in a highly parallel and energy-efficient manner, just like biological brains. 

Key advantages of neuromorphic computing

Intel Loihi, IBM TrueNorth, BrainChip Akida — these are the examples of neural processing devices (chips and processors) that are being applied in different industries. In robotics, neuromorphic chips enable more adaptive and intelligent behavior: robots can handle sensory inputs in real time, just like humans. In healthcare, such devices can enhance brain-computer interfaces (BCIs), helping people with neurological disorders regain movement or communication.

Experts predict that neuromorphic computing could reduce energy consumption in data centers by up to 70%, thanks to its efficient processing capabilities.

9. Robotics: enhancing human capabilities 

The robotics industry is growing rapidly, on par with AI, automation, and Industry 4.0. 

Robotics is an interdisciplinary field that integrates mechanical engineering, electrical engineering, computer science, artificial intelligence (AI), and other technologies. Robots are programmable machines that can sense, process information, and act in the real world.

• The global robotics market will reach $210 billion in 2025, growing at a CAGR of 15-20% from 2020. 
• The number of industrial robots in operation worldwide will exceed 3.5 million units. 
• In 2025, robots are expected to automate 30% of jobs, mostly in manufacturing, logistics, and retail. 
• However, robotics will create 97 million new jobs, especially in AI, robotics maintenance, and automation programming.

10. Blockchain technology: transparent processes in every sphere

While blockchain is commonly associated with cryptocurrencies, the technology has already entered diverse fields that require decentralized data storage and transparent transactions.

An illustration is supply chain management: blockchain helps track the delivery of products from the production site to end users. The technology virtually eliminates the possibility of falsifications across multiple stages, including financial transactions, warehousing, inventory records, and delivery schedules.

Despite being utilized by only 4% of the global population, blockchain boasts a market value reaching into the billions. The blockchain market is exhibiting consistent growth, with its value forecast to grow from $20 billion in 2024 to an impressive $248 billion by 2029.

Specialists in finance, government, energy, healthcare, and other industries are diligently exploring the extensive potential of blockchain and integrating it in their business processes.

11. Biotechnology: harnessing biology for innovation

Biotechnology is the use of living organisms, cells, and biological systems to develop technologies and products that improve healthcare, agriculture, industry, and the environment. It combines biology with genetics, bioengineering, artificial intelligence, and other cutting-edge fields to solve real-world problems.

The biotechnology sector is projected to grow at a compound annual growth rate (CAGR) of 8-10% over the next decade. Over 50% of research organizations are now integrating advanced data analysis tools to drive breakthroughs in biotechnology.

Practical applications

12. Voice-activated technology: promoting hands-free interaction

Virtual assistants, hands-free controls, and voice search solutions are gaining popularity among users who prefer using spoken commands instead of touch, keyboards, or buttons. Voice-activated technology is built on speech recognition, natural language processing (NLP), and other AI-based techniques.

Recent surveys show that over 55% of consumers now use voice commands for everyday tasks, and this figure is expected to grow as voice technology becomes more sophisticated.

Voice-activated systems are widely used in cars: drivers control navigation, climate settings, and multimedia without taking their eyes off the road, which is crucial for safety.

Voice biometrics is also a reliable security tool: banks can use it to authorize contactless transactions; many organizations authenticate employees with the technology.

People with disabilities turn to voice-controlled navigation to perform some tasks and improve accessibility.

13. Cybersecurity: new threats — new protective measures

Spending on cybersecurity continues to grow for several reasons. More companies are undergoing digital transformation, so they need protection for their digital business environments. The risk assessment of data breaches makes businesses realize the amount of financial losses and reputational damage they can avoid by developing a comprehensive cybersecurity strategy. Cybercriminals continuously invent sophisticated malicious activities (based on AI/ML capabilities as well), so companies need to hire skilled professionals and introduce advanced counteractions to resist their attacks.

Cybercrime is predicted to cost the global economy over $6 trillion annually by 2025. Over 80% of organizations have increased their cybersecurity budgets in the last two years to protect against emerging threats.

Financial institutions and government agencies are deploying sophisticated, multi-layered security systems that combine artificial intelligence-powered threat detection with real-time data analysis. These mechanisms are supposed to protect sensitive business information and private user data. 

14. Data governance: accuracy, security, and compliance

Data governance is the practice of managing data availability, integrity, security, and compliance within an organization. Without a well-structured data governance strategy, businesses risk data breaches, regulatory fines, and poor decision-making.

According to a recent poll, companies with strong data governance systems are 30% more likely to reach their company goals.

Key components of a data governance strategy include data quality management, security and privacy, regulatory adherence, and data ownership.

15. Sustainability: balancing growth with environmental responsibility

Climate change and resource depletion are becoming urgent concerns, that’s why sustainability is no longer an option, but a necessary factor in the technology industry. It’s the current generation’s responsibility to meet present needs without compromising the ability of future generations to meet their own needs.

A study revealed that sustainable IT practices could reduce global carbon emissions by up to 30% by 2030, which makes sustainability one of the top trends for environmentally conscious companies.

Tech giants are now investing in renewable energy sources to power their data centers. Smart cities implement green buildings and electric transport, as well as employ AI-driven solutions to optimize energy use and minimize waste. Sustainable supply chains adopt eco-friendly shipping methods, biodegradable packaging, and recycled materials. Sustainable farming uses precision irrigation, organic farming, and AI-driven crop management. The list can go on, proving that much effort is being spent in this area.

Why Choose SaM Solutions As Your Information Technology Partner?

With over 30 years of experience in the software engineering market and a steadfast commitment to excellence, SaM Solutions offers a wealth of expertise and a proven track record in delivering cutting-edge IT solutions. We look toward the technological future, ready to support your digital transformation strategies and ideas.

Our team of professionals, including mobile developers, IoT and embedded experts, and QA engineers, ensures the seamless integration of innovative technologies, propelling your business to new heights. At SaM Solutions, client success is paramount, and we pride ourselves on fostering long-term partnerships built on trust, transparency, and unparalleled technical proficiency. 

Final Thoughts

This article discussed the leading trends that together showcase the technological future of mankind. The road ahead promises hitherto unheard-of breakthroughs, and those who grab the chances given by these transforming technologies will surely set a path for continuous prosperity.