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.

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.

While the exact figure for 2022 was around $8.81 billion, the ML market has grown exponentially since then. In 2024, the market is estimated to be well over $200 billion. 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.

 

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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. According to Techcrunch.com for every developer, there are 14 job openings. The average salary of a Blockchain Developers is $130,000.  If you are seeing the future in Blockchain and its application and want to make your career, then it’s the right time to gear up for Blockchain technology.

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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