Top 10 Trending Technologies To Master In 2022

1. HyperAutomation

Would you believe me if I told you, in a few years, AI would be given equal rights as humans? It’s already happening, have you heard about Sophia? She’s a humanoid robot which is powered by AI. She has her own thoughts, emotions, can see and speak like humans, in 2017 she was granted legal citizenship in Saudi Arabia.

 

HyperAutomation involves the use of multiple technologies like Artificial intelligence (AI), Machine Learning and Automation technologies such as Robotic Process Automation (RPA) to automate as many business processes as possible.

 

According to business wire, Seventy percent of RPA professionals say their organization will hire more developers in the next year. According to Forbes,  the use of AI in many sectors of business has grown by 270% over the last four years.

 

2. Cybersecurity

Recently, Cybercrime have increased tremendously. In 2021, Twitter was hacked and was used to get Bitcoins. Do you see anything wrong with this?

This is the account of the US president on Twitter. It was hacked, and this message was posted from it.

 

Cyber threats resulted in damages worth a whopping $6 trillion in 2021 alone, making it the single largest economic disaster in history.

According to a report in the health sector alone, cybersecurity is expected to boom to $125 billion by 2025.

 

3. Full Stack Development

According to Forbes, internet usage has increased by 70% in the past 2 years. This clearly paves way for more online business to come in the near future. Even the US government is recruiting for one, but in an interesting way! If you visit www.whitehouse.gov, and check their website code, it has a job application hidden in it!

 

If White House is not your dream company, on the job portal Indeed, there are 28000+ jobs for Full Stack Development. The average salary of a Full Stack developer in India is 8 lakhs per annum, and in the United States is $110,000 per year.

 

4. Blockchain

Blockchain has been a buzzword for a couple of years now. Normally, people have an understanding that Blockchain’s use cases are limited to just cryptocurrencies.

 

But comparing cryptocurrencies to Blockchain is just like saying smartphones can only be used for making calls. Blockchain has now found its way in industries like Health, Insurance, Finance and a lot more. 

 

According to Deloitte’s Global Survey, 45 percent of emerging disruptors have already brought blockchain to production.

 

Gartner forecasts that the business value generated by blockchain will grow rapidly, reaching $176 billion by 2025 and $3.1 trillion by 2030.

 

5. Snowflake

Snowflake is a cloud data warehouse that pulls data from a wide range of software, services, and computing platforms. What makes Snowflake different is its ability to scale compute and storage independently! Snowflake has more than 4,900 customers, including 212 of the Fortune 500 with tons of jobs available on the job portals. The average salary for a Snowflake Data warehouse Engineer is 15 Lakhs per annum in India, and in the US it’s $125,000 per year.

 

6. Edge Computing

Edge computing is the practice of capturing, storing, processing and analyzing data near the client, where the data is generated, instead of in a centralized data-processing warehouse.

 

IDC forecasts that the global edge computing market will reach $250 billion by 2024. The average salary of a cloud engineer ranges between $104,000 in the US to $147,000 annually. In India, it is 12 LPA and can go as high as 30 LPA.

 

In the US, there are 130,000 jobs vacant for Cloud Engineers, according to indeed.com. In India, there are 30,000+ jobs vacant for Cloud Engineers.

 

7. Internet of Behaviors

Have you ever been in a situation where you are talking about a certain product with a friend, and you immediately get an advertisement regarding the same?

 

If you have experienced that, you’re not alone. This type of marketing aims at targeting the right person at the right time with the right product!

 

Internet of Behavior, also known as IOB, refers to the behavioral data analysis gathered from IOT devices around us. Alexa, google HomePod, and even your smart phones are examples of IoT devices.

 

According to Gartner, about 40% of people will be tracked by IOT devices by 2023. According to Glassdoor, the salary of an IOT engineer in India can range from 5 LPA to 16 LPA. In the US, the average annual salary is between $110,000 to $140,000.

 

8. Predictive Analytics

Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling, machine learning and business intelligence.

 

According to Forbes, the data science field will grow about 28% through 2026 year-on-year. According to Gartner, 70% of organizations will make use of predictive analytics by the year 2025.

 

The annual average salary for a Data Scientist in the US is $111,000, in India the average salary of a Data Scientist is 11 Lakhs per annum.

 

9. DevOps

DevOps is a mindset of molding your IT process and organizational structures to promote

 

•business value

•software quality

•And continuous improvement

 

To implement DevOps, Netflix created a suite of programs called the Simian Army. These programs created problems like shutting down servers randomly, deliberately causing latency problems between services etc. This helped their team to create fault-tolerant and scalable systems, ultimately helping them achieve the DevOps principles.

 

Using the same principles in DevOps, the machine learning workflow and data engineering workflow can also be automated. 

 

10. AI as a service

Have you watched the movie Superman? It’s a $300 million budget movies. It used expensive VFX to edit out the mustache of Henry Cavil, because he had to keep it for his other movie projects.

 

According to an article from Verge, a college graduate was able to achieve the same effect using AI on a $500 PC!

 

To simplify and make AI available to everyone, AI as a service was introduced. So now everyone can use AI without buying expensive hardware.

 

According to Indeed.com, There are 50,000+ jobs vacant in the United States. Similarly, in India, there are 15000+ jobs. According to Glassdoor, the average salary of an AI Engineer is $120,000 and in India it is 10 LPA.

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