11 Emerging Technology Trends to Watch in 2025

AI already received a lot of attention in recent years and it continues to be in trend. From Smartphones app to Sci-Fi Movies Artificial Intelligence has deliberately encouraged people's attention. Nowadays, AI has invoked computers to mimic human intelligence, identifying images, patterns, speeches and decision making and moreover AI performs these tasks faster and accurate than humans.
 
Seven out of ten people in developed nations use AI services every day, including navigation apps (Google Maps or GPRS), smartphone personal assistants (Google Assistant and Apple Siri), riding-apps (Uber) and home personal assistants (Amazon Alexa, etc.). AI is also put in use to schedule public transport like Trains and Flights, predict Business Rick and many more other things.
 
Being in hot and trending topics AI is also a potential job loss. AI Pundits have predicted that by 2030 AI will eliminate more than 73 million jobs.

Example

Machines are getting smart enough to do many jobs people used to do, like putting things together in factories. Trucks that drive themselves might mean fewer truck drivers are needed.

Online helpers can answer questions, so companies might hire fewer people to talk to customers.

Machine learning is the scientific study of algorithms and statistical models programmed to do a specific task by learning patterns and insights from data. Generally, Machine Learning has two types: Supervised and Unsupervised.

The global Machine Learning (ML) market size was valued at $35.32 billion in 2024 & is expected to grow from $47.99 billion in 2025. This massive growth is fueled by increased adoption across industries and advancements in technology.

RPA is another Automated technology like AI and ML that automate jobs. RPA can perform high volume and repetitive tasks. The software follows a basic algorithm and delivers the required results. RPA performs tasks like interpreting applications, processing transactions, dealing with data, and even replying to emails.

Although RPA will threaten the livelihood of 230 million or approximately 9 percent of the global workforce. But RPA is also creating new jobs. According to McKinsey, less than 5 percent of jobs can be automated and about 60 percent can be partially automated. Robotic Process Automation carries many career opportunities for IT professionals trying to understand technology trends, including developers, project managers, business analysts, solution architects, and consultants. According to SimplyHired.com the average salary for RPA is $73,861.

Virtual Reality is a simulated artificial environment and it is presented in such a manner that the user thinks it is the real world.Virtual Reality is a mixture of hardware and software to create a three-dimensional environment where users can interact with their surroundings. Complex and Difficult jobs like surgery or operation, bomb disposal can be easily taught by VR. There are three types of Virtual Reality- Non-immersive, Semi-immersive, and Fully-immersive.

On the other hand, Augmented Reality is a technology where images, videos, sound, text, etc. are superimposed on the real world. So, the user is experiencing the real surrounding but with this technology, the current perception of the environment is enhanced. For example, games like Pokémon Go is the perfect example of AR. In the VR market, there are major industries like Google, Samsung, and Oculus, but on the other hand, plenty of other industries are forming which will create the demand for professionals with VR and AR skills.

Learn More: Top 10 IT Trends in 2025

A Blockchain is, in the simplest of terms, a time-stamped series of an immutable record of data that is managed by a cluster of computers not owned by any single entity. Each of these blocks of data (i.e. block) is secured and bound to each other using cryptographic principles (i.e. chain). In terms of future technology trends, Blockchain is going to be the fastest-growing category of jobs.

Blockchain isn’t just about cryptocurrencies anymore—it’s being adopted across industries like finance, healthcare, and supply chain management. And with this adoption comes a surge in demand for skilled professionals.

According to Techcrunch.com for every developer, there are 14 job openings.

The average salary of a Blockchain Developers is $130,000. If you're considering a career in blockchain, now is the perfect time to dive in. Whether it's developing smart contracts, enhancing cybersecurity, or building decentralized apps, the opportunities in this space are growing fast.

It seems like Cybersecurity has not created a benchmark in Future Trending Technologies, but it is evolving just as other technologies. In the upcoming year, Cybersecurity will be the emerging technology as it will evolve to defend against hackers. As we define Cybersecurity, it refers to the technology, software, and practices to protect servers, networks, programs, and devices from any attack and unauthorized access.   As we look into the technology world, anything which is online is vulnerable to Cyber-Attacks. It is a necessity for the organization that stores a large amount of sensitive data online like Government, Military, Banks and Social Media Websites. 

Many devices connected with each other through the internet and sharing information with each other simultaneously is the internet of things. Suppose, if you have Home Assistant “Google Home” is interconnected to other objects like Smartphone, Laptop, Bluetooth speaker or any other electronic items, on commanding the Home Assistant it will send information to your Smartphone or Laptop and your device will analyze the information and provide you the result you are looking for. So, the devices are interacting with each other without human interface.
 
As individuals, we’re using IoT in our daily life, but businesses also need IoT for enabling better safety, efficiency and decision making. The data is collected and analyzed. The future of IoT is bright and In an Article at IT Pro Today mention that we’ll need 200,000 more IT professionals.

When data is processed near the edge of our network instead of in a centralized data-processing warehouse is called Edge Computing. Edge computing facilitates data-stream acceleration and real-time data processing without any latency. It grants devices to respond to data instantly while being created and eliminating lag time. Edge computing can be used in remote locations with limited connectivity to process that time-sensitive data, in such situations edge computing acts like mini datacenters.
The worldwide edge computing market is projected to reach 350 billion U.S. dollars by 2027. Edge computing is the delivering of storage, computing, and network capabilities to the local points of a network, through which less latency, reduced cost, better performance and higher security at the edge are obtained. 

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Generative AI is transforming the way content is created, making it faster, smarter, and more dynamic. AI models like ChatGPT and DALL·E can generate text, images, and even videos that look like they were made by humans. Businesses are using this technology to write blogs, create marketing materials, and even design unique visuals without needing a team of designers or writers.

Example:
A marketing agency can now generate ad copies, product descriptions, and social media posts in seconds using ChatGPT, while DALL·E creates unique graphics for campaigns, saving time and costs.

While traditional animation studios like Studio Ghibli are known for their hand-drawn artistry, AI is making its way into the animation industry. AI-assisted tools are helping animators streamline workflows, enhance visual effects, and even generate concept art. However, Ghibli remains dedicated to traditional techniques, ensuring its signature style isn’t lost to automation. The rise of AI in animation is sparking debates on balancing technology with artistic integrity.

Extended Reality (XR) combines Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) to create interactive digital experiences. This technology is being used in industries like gaming, healthcare, education, and retail to enhance user engagement and learning.

Example:
IKEA’s AR app lets customers visualize how furniture will look in their homes before making a purchase. Medical students use VR simulations to practice surgeries without risking real patients. Workplace Training: Companies like Walmart use VR to train employees in a risk-free environment.
XR is not just about entertainment; it’s shaping how we learn, work, and shop in the digital age.

Quantum computing is changing how we solve big problems. Unlike traditional computers that process data in 0s and 1s, quantum computers use qubits, which can exist in multiple states at once. This allows them to process information much faster, solving problems that were impossible for regular computers.

Example:
Quantum computing can help scientists find new drugs faster by simulating how molecules interact. It can create and break complex encryption methods, shaping the future of data security. Investment firms use quantum computing to analyze massive datasets and make better market predictions.

Although still in its early stages, quantum computing is quickly moving from research labs to real-world applications.