Top 25 New & Trending Technologies in 2024 You Should Know About

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As someone deeply immersed in the ever-changing landscape of technology, I’ve witnessed firsthand the rapid evolution of trending technologies. The 21st century has been characterized by constant technological advancements, with many once-popular technologies fading into obscurity while new ones emerge to take their place. In 2024, we’ve seen a surge of innovative technologies, particularly in computer science and engineering. 

These new technologies hold immense potential and are poised to revolutionize various industries in the coming years. If you’re eager to stay ahead of the curve and remain updated on the latest trends, it’s crucial to explore and master these trending technologies of 2024. Join me as we delve into the exciting world of emerging technologies and discover the key trends shaping the future of our digital landscape. 

Top Trending Technologies in 2024

1. Artificial Intelligence and Machine Learning

Artificial intelligence and machine learning once represented the cutting edge of computer science. When these technologies were created in the last 20th century, they hardly had any applications and were, in fact, mostly academic. However, these technologies have gained applications over the years and reached ordinary people’s hands through their mobile phones and is currently one of the latest technologies in computer science.

ai and machine learning

Machine learning represents a computer science field in which an algorithm can predict future data based on previously generated data. Artificial intelligence represents the next step in machine learning, in which an algorithm develops data-based intelligence and can even carry out essential tasks on its own.

Both artificial intelligence and machine learning requires advanced knowledge of statistics. Statistics help you determine the results that your algorithm might throw up for a particular dataset, thus evolving it further. The proliferation of machine learning applications has meant that the number of jobs in this field has also grown.

Machine learning is among the leading technologies of this century. A career in this domain can expose you to advanced computational infrastructure and novel research in the field making this a fine new technology in 2023 you should consider getting into. Having a job in machine learning and artificial intelligence domain(s) places you at the forefront of technological development in the field of computer science.

new technology 2021

In fields such as retail and e-commerce, machine learning is an essential component to enhance user experience. The product recommendations that you see on such sites are generally a result of a machine learning algorithm analysing your previous searches and recommending similar products to you. In the healthcare field, machine learning can help analyse data to provide treatment insight to physicians. Even though AI is helping us in our day to day lives, it is still a new technology in 2024 considering its potential. 

2. Data Science

Recent technology in computer science is Data Science. For much of the initial part of the 21st century, data science was the next big thing. Data science has been around for much longer than just the past twenty months. For centuries, data analysis has been an essential task for companies, government, institutions, and departments. Analysing data helps understand the efficiency of processes, conduct surveys of the workforce, and gauge people’s general mood.

However, as of today, much of data analysis has turned digital. Data analysis is among the first jobs that computers are turned to for. In the early 2000s, data analysis was so prevalent that students were being taught introductory courses on the subject in school.

new technologies in 2022

In the 2023s, data analysis is likely to blow up more than ever. With computational technology growing at a more excellent pace than ever, the data analysis capabilities in people’s hands are likely to increase. Newer, faster data analysis algorithms and methods are likely to come up and be put into practice.

The benefit of having a career in data science, regardless of the domain your company works in, is that you are an essential part of the firm’s overall business. The data that you produce and the interpretations that you provide are likely to be a necessary part of the business strategy of any company that you serve.

In retail and e-commerce, data science is widely used to determine campaigns’ success and the general trend of various products’ growth. This, in turn, helps develop strategies for the promotion of particular products or types of products. In health care, data informatics can be essential in recommending low-cost options and packages to patients and allowing doctors to choose the safest yet most effective treatments for them.

How to become a data scientist?

Learners can opt for Executive PG Programme in Data Science, a 13-month program by IIIT Bangalore.

3. Full Stack Development

Full-stack development refers to the development of both client-side and server-side software and is bound to be one of the top trending technologies of 2024.

The 21st century started with the dot com boom, and the internet, a relatively new phenomenon, was spreading across homes in the world. In those days, websites were no more than simple web pages, and web development wasn’t the complex field that it is now.

full stack development

These days, web development involves a front end and a back end. Especially for fields related to services, such as retail and e-commerce, websites include a client-side—the website that you see—and a server-side—the website that the company controls.

Generally, web developers are given the job of handling either the client-side or the website’s server-side. However, being a full stack developer gives you and your company the flexibility of working on both ends of the web development spectrum. The client-side or front end will generally require knowledge of suites such as HTML, CSS, and Bootstrap. The server side requires knowledge of PHP, ASP, and C++.

How to become a full-stack developer?

Learners can opt for Executive PG Programme – Full Stack Development, a 13-month program by IIIT Bangalore.

4. Robotic Process Automation

Robotic Process Automation isn’t just about robots. It is a lot more about the automation of processes than anything else. Before computers, most processes involved some human intervention. Humans ran even manufacturing machines, and large-scale manufacturing employs thousands of people.

robotic process automation

However, since computers have taken over most processes, manufacturing hasn’t been left untouched either. All domains, be it manufacturing or information technology, now involve some automation in their processes. The amount of human intervention in these processes is only reducing, and this trend is likely to continue for the foreseeable future.

Jobs in robotic process automation typically involve a significant amount of coding knowledge. You would typically need to write code that would enable computerised or non-computerised processes to be done automatically without human intervention.

These processes could mean anything from automatic email replies to automated data analysis and automatic processing and financial transactions approval. Robotic process automation makes tasks considerably faster for the common consumer by making such approvals automatic based on certain conditions entered by the programmer. 

In sectors such as financial services, robotic process automation can reduce the lean time to approve financial transactions online. It improves the productivity of the company as a whole, as well as that of its clients.

Best Machine Learning and AI Courses Online

5. Edge Computing

During the early part of the 21st century, cloud computing was considered the next big thing. In cloud computing, data is uploaded to a centralised repository that may access it regardless of location. Cloud Computing began to be used in commercial devices only close to 2010. By the time it was 2024, cloud computing had become a prevalent technology.

In just about a decade, cloud computing had turned from being an esoteric term to being a part of a few devices in almost everybody’s house. In 2024, cloud computing is no longer among the top technology trends but rather a thing of the past.

edge computing

The next step after cloud computing is edge computing. It is another rising new technology in 2023 which is very similar to cloud computing, except that data is not stored in a centralised repository. In areas where network access might be difficult or impossible, cloud computing is challenging since you can no longer access the repository where your data is stored. What edge computing does is transfer data closer to the location where it needs to be used.

Edge computing has excellent applications in the Internet of Things devices. As far as IoT is concerned, a physical device you need to control with your smartphone should not need to access data from a centralised repository that might be thousands of kilometres away. Instead, data should stay as close to the device as possible.

Edge computing allows the data to remain at the ‘edge’ of the cloud and the device for processing so that commands can be followed through in a smaller amount of time.

Edge computing jobs have only begun to grow with IoT devices’ proliferation over the past few years. As the number of these devices increases, edge computing roles are likely to become more prevalent and lucrative, placing it firmly among the trending technologies in 2024-25.

6. Virtual Reality and Augmented Reality

Virtual Reality and Augmented Reality have both been technology buzzwords for over a decade now. However, these latest technology trends in computer science have so far failed to materialise into widely available consumer products. The presence of virtual reality and augmented reality in our real lives is minimal. Eventhough VR and AR have been familiar in the industry, they are relatively new technologies in 2024.

VR and AR

Virtual reality has been used widely in video games thus far and augmented reality-based apps did become popular for a while a few years ago, before waning. However, the best way virtual reality can become a top technology trend for the future is by making it a part of people’s daily lives.

Over the past few years, virtual reality has also begun to find applications in training programs. Another domain where virtual reality experiences have been useful is in providing experiences to museum-goers. The trajectory of the rise of virtual reality is very similar to that of 3D technology—it might take just one application, such as cinema in 3D, for the technology to become mainstream. According to Payscale, average salary of AR Engineer is above 6 lakhs per annum, one more reason to give this new technology a try in 2024.

Virtual reality jobs do not currently require a lot of training. Simple programming skills should be enough to land you a job, alongside an interest in the field and the power of visualisation. With millions of virtual reality devices being sold worldwide every year, it is only a matter of time before we see VR and AR take over our daily lives.

7. Blockchain

You have probably heard of Blockchain in the past few years, mostly in the context of cryptocurrency. However, Blockchain has grown to have several different applications. The significant part about Blockchain is that it is never under the complete control of a single entity due to being entirely consensus-driven. It can never change the data you store in the Blockchain used widely in sharing medical data in the healthcare industry.


Due to the security that Blockchain provides, this data can be shared among parties pretty much seamlessly. Another application of Blockchain is in maintaining the integrity of payment systems. Blockchain-based payment systems are currently highly immune to external attacks and theft. Blockchain can also be used in tracking the status of products in a supply chain in real-time.

trending technologies 2022

The number of blockchain jobs has unexpectedly increased in the past few years and continues to increase. However, the number of applicants for such positions has also been growing in tandem. To bag a job in the blockchain domain, you need experience in multiple programming languages and in-depth knowledge of data structure and algorithms, OOPS, relational database management systems, and app development.

How to become a Blockchain Developer?

upGrad offers three well-recognized blockchain courses – Executive PG Program, Advanced Certification Program, and an Executive Program.

8. 5G

If there is one technology, the knowledge of which is still little, it is 5G. It is a new technology in 2024 for which companies and governments around the world have spent years preparing for the rollout of 5G technology. In several countries, this technology has already been rolled out and achieved a significant amount of success. Since 5G is currently in a nascent stage, it is available only to a limited extent and is also relatively expensive.

The number of compatible devices with 5G is also not appreciable, although most new mobile devices being released have 5G compatibility. 5G has a much greater capacity than the current 4G technology, with an average network speed of 100 Mbps and a peak speed of 20 Gbps. If you have multiple mobile devices in your home, 5G will probably connect to these devices and use them concurrently significantly easier. 

When 5G technology was only in the development stage, 5G jobs were few, and most such jobs were allocated to employees within companies. However, companies have begun to hire network engineers over the past few months, specifically for jobs associated with their 5G networks.

As 5G technology has become more prevalent, there has been a scramble among networks to purchase spectrum and roll out the technology first. This has led to the requirement of a larger workforce focussed on the development and release of 5G networks.

9. Cyber Security

The number of devices and coverage about digital technologies has been rising, hence the threat by cyber-attacks on such devices. Cyber attacks can take many forms, from phishing to identity theft, and the need to guard the greater user coverage of the internet is greater than ever.


Simple antivirus software is no longer sufficient if you want to save yourself from cyber attacks. The development of better, more sophisticated technologies to guard against cyber threats is the subject of multiple academia and industry projects worldwide.

Companies are involved not just in making new commercial technologies to protect individual domestic consumers against cyber attacks. Some of the most frequent cyber-attacks are government data repositories or the storage facilities of large companies. Nearly all large companies need a way to protect their data and their employees’ data and associated firms.

Jobs in cybersecurity have been growing at thrice the pace as other tech jobs, primarily due to the reasons mentioned above. Not only are these jobs incredibly well-paying, but they are also some of the most critical positions in any firm. The 5G market in India is estimated to reach INR 19 Billion by 2025 so this new technology in 2024 can be a game-changer.

Especially in domains such as e-commerce and retail, the importance of cybersecurity cannot be underscored. Thousands of customers store their personal and financial data on retail companies’ websites to allow for easy payments. They also have accounts and passwords, which need to be protected. Similarly, in the healthcare industry, patient data needs to be protected against cyber threats.

10 ) Internet of Things (IoT)

The Internet of Things (IoT) is latest technology in computer science that connects everyday objects and devices to the internet, enabling them to collect and exchange data. IoT has revolutionized various industries, including healthcare, agriculture, manufacturing, and smart homes. In fact, in the next 7 years, there will be 25 billion+ IoT devices. In the IoT new technology 2024 in computer science ecosystem, devices communicate with each other and centralized systems, allowing for real-time data analysis and automation.

Consider pursuing software and technology courses from UpGrad to stay informed. 

Latest Technology Trends and Applications of IoT:

  • Smart home automation for convenience and energy efficiency.
  • Industrial IoT for predictive maintenance and process optimization.
  • Healthcare IoT for remote patient monitoring and healthcare management.
  • Agriculture IoT for precision farming and crop monitoring.
  • Connected vehicles for safer and more efficient transportation.

11) Quantum Computing 

Quantum computing is at the forefront of latest technology in computer science. Unlike classical computers that use bits, quantum computers use quantum bits or qubits, which can exist in multiple states simultaneously. This enables quantum computers to perform complex calculations at speeds unattainable by classical computers. In 2024, the worldwide quantum computing market generated approximately $457.9 million in revenue, and it is anticipated to soar to $5,274.9 million by the year 2030. Being the new technology 2024 in computer science, Quantum computing has the potential to revolutionize fields such as cryptography, drug discovery, and materials science.

Latest IT Technology and Applications of Quantum Computing:

  • Cryptography and encryption for secure communications.
  • Drug discovery and molecular modeling for faster drug development.
  • Optimization problems in logistics, finance, and supply chain management.
  • Materials science for designing new materials with unique properties.
  • Artificial intelligence and machine learning for advanced data analysis.

12) Biotechnology 

Biotechnology is among the top new technologies of the modern world. It is a multidisciplinary field that harnesses biological systems, organisms, or derivatives to develop products and technologies for various industries. Recent advancements in biotechnology have made it the top trending technologies, leading to breakthroughs in gene editing, personalized medicine, and sustainable agriculture. Biotechnology plays a crucial role in addressing global challenges such as healthcare, food security, and environmental sustainability.

Latest Technology Trends Applications of Biotechnology:

  • Genetic engineering for creating genetically modified organisms (GMOs).
  • CRISPR-Cas9 technology for precise gene editing and gene therapy.
  • Biopharmaceuticals for producing therapeutic proteins and vaccines.
  • Agricultural biotechnology for developing drought-resistant crops and pest-resistant plants.
  • Environmental biotechnology for wastewater treatment and biofuel production.

13) Natural Language Processing (NLP) 

Natural Language Processing (NLP) is a subfield of artificial intelligence and among the latest technologies in software industry that focuses on enabling machines to understand, interpret, and generate human language. NLP technologies have made significant advancements in speech recognition, language translation, sentiment analysis, and chatbots. According to PayScale, the average annual salary for NLP professionals in the US is US$116,000. Being one of the latest technologies in computer science, NLP plays a vital role in improving human-computer interactions and automating language-related tasks.

Latest IT Technology and Applications of NLP:

  • Voice assistants like Siri, Alexa, and Google Assistant for voice-activated commands.
  • Language translation services for real-time multilingual communication.
  • Sentiment analysis for analyzing social media data and customer feedback.
  • Chatbots and virtual agents for customer support and information retrieval.
  • Text summarization and content generation for content marketing and journalism.

14) Autonomous Vehicles 

Autonomous vehicles, commonly known as self-driving cars, is one of the  top new technologies that use advanced sensors, artificial intelligence, and machine learning to navigate and operate without human intervention. The development of autonomous vehicles has the potential to revolutionize transportation by improving road safety, reducing traffic congestion, and enhancing mobility for individuals with disabilities.

Applications of Autonomous Vehicles:

  • Self-driving cars for personal transportation and ride-sharing services.
  • Autonomous delivery vehicles for last-mile logistics and e-commerce.
  • Autonomous buses and shuttles for public transportation.
  • Agricultural autonomous vehicles for precision farming.
  • Mining and construction autonomous vehicles for hazardous environments.

15) Clean Energy Technologies 

Clean energy technologies focus on generating energy from renewable sources and reducing carbon emissions. As the world grapples with climate change and the depletion of fossil fuels, clean energy solutions are becoming increasingly important. Trending technologies such as solar power, wind energy, and energy storage systems are leading the transition to a sustainable energy future.

Applications of Clean Energy Technologies:

  • Solar panels and photovoltaic systems for residential and commercial electricity generation.
  • Wind turbines for harnessing wind energy to produce electricity.
  • Battery storage solutions for storing and distributing clean energy.
  • Hydrogen fuel cells for zero-emission transportation and power generation.
  • Advanced nuclear reactors for safe and efficient nuclear energy production.

16) 3D Printing 

3D printing, also known as additive manufacturing, is one of the latest technologies in software industry that creates three-dimensional objects layer by layer using digital design files. It has gained widespread popularity for its versatility and applications across various industries, including manufacturing, healthcare, aerospace, and automotive. 3D printing enables rapid prototyping, customization, and cost-effective production of complex parts and products.

Applications of 3D Printing:

  • Prototyping and product development for faster iteration and testing.
  • Customized medical implants and prosthetics for patients.
  • Aerospace components, including lightweight and intricate structures.
  • Architectural models and construction components.
  • Consumer goods and fashion items with unique designs.

17) Augmented Analytics 

Augmented analytics combines artificial intelligence and machine learning with data analytics tools to enhance data-driven decision-making. It is one of the latest technologies in computer science that automates data preparation, pattern recognition, and insights generation, making it easier for businesses to extract valuable insights from large datasets. Augmented analytics empowers users with actionable recommendations and predictions.

Applications of Augmented Analytics:

  • Business intelligence and data visualization for informed decision-making.
  • Predictive analytics for forecasting sales, customer behavior, and trends.
  • Automated anomaly detection to identify unusual patterns in data.
  • Natural language generation for automated report generation.
  • Personalized recommendations for e-commerce and content platforms.

18) Space Technology 

Space technology encompasses a wide range of technologies used for space exploration, satellite communications, and scientific research. Recent advancements in space technology have led to breakthroughs in satellite miniaturization, reusable rockets, and planetary exploration missions. Space technology has applications in telecommunications, Earth observation, and space travel.

Applications of Space Technology:

  • Satellite-based navigation systems like GPS for precise location services.
  • Earth observation satellites for monitoring climate, weather, and natural disasters.
  • Space tourism and commercial space travel.
  • Planetary exploration missions to study Mars and other celestial bodies.
  • Space-based scientific research in astrophysics and astronomy.

19) Biometrics 

Biometrics involves the measurement and analysis of unique physical and behavioral characteristics to identify and verify individuals. Biometric technologies include fingerprint recognition, facial recognition, iris scanning, and voice recognition. Biometrics enhance security and authentication in various applications, from smartphones to access control systems.

Applications of Biometrics:

  • Smartphone fingerprint and facial recognition for device unlocking.
  • Biometric passports and border control for enhanced security.
  • Time and attendance systems for workforce management.
  • Healthcare authentication and patient identification.
  • Financial transactions and payment authentication.

20) Drone Technology 

Drone technology, also known as unmanned aerial vehicle (UAV) technology, has advanced significantly in recent years. Drones are remotely piloted aircraft used for various purposes, including aerial photography, surveillance, agriculture, and delivery services. They offer cost-effective and versatile solutions for data collection and transportation.

Applications of Drone Technology:

  • Aerial photography and videography for filmmaking and real estate.
  • Surveillance and monitoring for law enforcement and security.
  • Precision agriculture for crop monitoring and yield optimization.
  • Search and rescue operations in disaster-stricken areas.
  • Package delivery services for e-commerce companies.

21) Nanotechnology 

Nanotechnology involves manipulating and controlling materials and devices at the nanoscale, typically at the molecular or atomic level. It has diverse applications in electronics, medicine, materials science, and energy. Nanotechnology enables the development of smaller, more efficient, and high-performance products.

Applications of Nanotechnology:

  • Nanoelectronics for smaller and more powerful electronic devices.
  • Drug delivery systems for targeted and controlled drug release.
  • Nanomaterials with unique properties for advanced materials science.
  • Water purification and environmental remediation.
  • Energy storage and conversion with nanoscale materials.

22) Voice Technology (Voice Assistants) 

Voice technology, powered by natural language processing and speech recognition, has become increasingly prevalent in our daily lives. Voice assistants like Amazon’s Alexa, Apple’s Siri, and Google Assistant enable voice-activated commands, smart home control, and information retrieval. Voice technology enhances user convenience and accessibility.

Applications of Voice Technology:

  • Smart home automation and voice-controlled devices.
  • Virtual personal assistants for scheduling, reminders, and information retrieval.
  • In-car voice recognition systems for hands-free control.
  • Customer support chatbots with voice interaction.
  • Accessibility features for individuals with disabilities.

23) Human Augmentation 

Human augmentation technology enhances human capabilities through the integration of technological components with the human body. This emerging field includes wearable devices, exoskeletons, and brain-computer interfaces. Human augmentation has applications in healthcare, military, and sports.

Applications of Human Augmentation:

  • Prosthetic limbs and wearable exoskeletons for enhanced mobility.
  • Brain-computer interfaces for individuals with paralysis.
  • Smart glasses and augmented reality for industrial and medical applications.
  • Enhanced sensory perception and cognitive augmentation.
  • Sports performance monitoring and training aids.

24) Smart Agriculture 

Smart agriculture, also known as precision agriculture, leverages technology to optimize farming practices and improve crop yield and efficiency. It involves the use of sensors, drones, and data analytics to monitor soil conditions, weather, and crop health. Smart agriculture contributes to sustainable farming and food security.

Applications of Smart Agriculture:

  • Soil sensors and remote monitoring for precise irrigation management.
  • Automated machinery and autonomous tractors for planting and harvesting.
  • Crop monitoring with drones and satellite imagery.
  • Pest and disease detection using image recognition and AI.
  • Data-driven decision-making for crop planning and resource allocation.

25) Quantum Cryptography 

Quantum cryptography leverages the principles of quantum mechanics to secure communication channels. It offers unparalleled security by using quantum properties to detect eavesdropping attempts. Considered one of the trending domains in computer science, quantum cryptography is considered unbreakable due to the fundamental laws of physics governing quantum phenomena.

Applications of Quantum Cryptography:

  • Secure communication and data encryption for governments and organizations.
  • Quantum key distribution (QKD) for secure financial transactions.
  • Protection of sensitive data in healthcare and defense.
  • Defense against quantum computing-based attacks on classical encryption.
  • Enhanced cybersecurity for critical infrastructure.

How to Make a Career in these Technologies?

Making a career in these top new technologies requires a combination of education, skills development, and staying updated with the latest trends and advancements. Here’s a general roadmap for pursuing a career in these top new technologies:

Educational Foundation:

  • Start with a strong educational foundation. Most tech careers require at least a bachelor’s degree in a related field.
  • Research universities and institutions known for their programs in your chosen technology.
  • Consider pursuing higher degrees (master’s or Ph.D.) for specialized roles and research positions.

Select a Technology and Specialization:

  • Choose a specific technology or trending domains in computer science within the broader category. For example, within AI and machine learning, you can specialize in natural language processing, computer vision, or reinforcement learning.
  • Understand the demand for specific skills in the job market and align your specialization accordingly.

Online Courses and Certifications:

  • Take online courses and earn certifications from reputable platforms like Coursera, edX, Udacity, and LinkedIn Learning.
  • Certifications can demonstrate your expertise and commitment to potential employers.

Hands-on Experience:

  • Practical experience is crucial. Work on personal projects, participate in hackathons, or contribute to open-source projects related to your chosen technology.
  • Internships and co-op programs can provide valuable industry experience.


  • Attend tech conferences, meetups, and industry events to network with professionals in your chosen field.
  • Join online forums and communities where you can learn from experts and share your knowledge.

Build a Portfolio:

  • Create a portfolio showcasing your projects, research, and certifications. A strong portfolio is often more valuable than just a resume.
  • Use platforms like GitHub to host your code and projects.

Stay Updated:

  • Emerging technologies evolve rapidly. Subscribe to industry publications, follow tech blogs, and join relevant LinkedIn groups to stay updated about the new computer technology
  • Continuous learning is essential. Enroll in advanced courses and attend workshops to keep your skills current.

Soft Skills:

  • Develop soft skills such as problem-solving, critical thinking, communication, and teamwork. These skills are valuable in any tech career.

Job Search and Networking:

  • Use online job platforms, company websites, and networking connections to search for job openings.
  • Leverage your network to get referrals and recommendations.

Prepare for Interviews:

  • Prepare for technical interviews by practicing coding challenges, system design interviews, and behavioral questions.
  • Research the company and its projects before the interview.

Continuous Learning:

  • Your education doesn’t end with a job. Continue to learn and adapt to new technology 2023 and trends throughout your career.

Certifications and Advanced Degrees:

  • Consider pursuing advanced degrees or certifications on latest computer technology as your career progresses to unlock higher-level positions.


  • If you have innovative ideas, consider entrepreneurship. Launching a startup in a technology-driven field can be a rewarding career path.

Remember that the specific steps and requirements may vary depending on the latest computer technology and industry you choose. Be proactive in seeking opportunities, learning, and adapting to changes in the tech landscape. A passion for technology and a commitment to ongoing growth are key factors in building a successful career in these emerging fields. Keep an eye out for these top 25 technology trends to make an informed decision.

How to become a cyber security analyst?

If you want to pursue this profession, upGrad and IIIT-B can help you with a PG Diploma in Software Development Specialization in Cyber Security. The course offers specialization in application security, cryptography, data secrecy, and network security.

Apart from the above, we give you BONUS top 9 latest trending technologies that are a big hit this 2023.

1. Data Fabric

One of the new technology 2021-22 is data fabric which offers an innovative, robust integration of data sources across platforms and business users, making data accessible wherever it is needed, regardless of where the data is located.

data fabric

Analytics can be used by data fabric to discover patterns and make suggestions about how and where to use and modify data. This may result in a 70% reduction in data management efforts.

2. Cybersecurity Mesh

A flexible, modular architecture called a cybersecurity mesh connects distributed and independent security services.

In order to increase overall security and bring control points closer to the assets they are intended to safeguard, cybersecurity mesh allows best-of-breed, standalone security solutions to work. In both cloud-based and non-cloud systems, it can swiftly and accurately validate identity, context, and policy adherence.

3. Privacy-Enhancing Computation

One of the new technologies in computer science is privacy boosting computation. Due to changing privacy and data protection legislation as well as rising consumer concerns, privacy-enhancing computation safeguards the handling of personal information in untrusted contexts.

privacy enhancing computation

Various privacy-protection strategies are used in privacy-enhancing computation to derive value from data while still adhering to compliance standards.

4. Cloud-Native Platforms

Recent technology in computer science is Cloud-Native Platforms. Building durable, dynamic, and adaptable new application architectures using cloud-native platforms enables you to adapt to quick changes in the digital landscape.

cloud native platforms

Cloud-native platforms are an improvement over the old lift-and-shift method of using the cloud, which misses out on its benefits and makes maintenance more difficult.

5. Composable Apps

One of the new technologies popular this 2021-22 is composable applications that are created using modular, business-focused building blocks.

composable applications

Composable applications speed up the time to market for innovative software solutions and unleash enterprise value by making it simpler to use and reuse code.

6. Decision Intelligence

One of the many trending technologies in 2021-22 is Decision Intelligence. An effective strategy to enhance corporate decision-making is called decision intelligence. It uses intelligence and analytics to guide, learn from, and improve decisions by modelling each choice as a collection of processes.

decision intelligence

Through the use of augmented analytics, simulations, and AI, decision intelligence may support and improve human decision-making as well as possibly automate it.

7. Hyper automation

The goal of hyper automation is to quickly discover, validate, and automate as many business and IT operations as is practical.

hyper automation

Scalability, remote operation, and business model disruption are made possible by hyper automation and are undoubtedly the recent technology in computer science.

8. AI Engineering

For the purpose of streamlining the supply of AI, AI engineering automates updates to data, models, and applications.

AI Engineering

AI engineering will implement the delivery of AI in conjunction with sound AI governance to guarantee its continued business value.

9. Distributed Enterprises

To enhance staff experiences, digitalize customer and partner touchpoints, and expand product experiences, distributed enterprises represent a digital-first, remote-first company strategy.

distributed enterprices

The needs of remote workers and customers, who are driving demand for virtual services and hybrid workspaces, are better met by distributed enterprises.

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The year 2024 promises to be a pivotal period marked by the resurgence of the global economy, driven largely by the adoption of trending technologies. As outlined above, these top technology trends are poised to permeate various aspects of our daily lives in the foreseeable future. The demand for jobs in these burgeoning fields, along with the associated skills, is expected to skyrocket, making education and expertise in these areas invaluable assets for career growth. 

By identifying and mastering the right new technology trends in 2024, individuals can future-proof themselves and position themselves for long-term success in the rapidly evolving digital landscape. Embracing these emerging technologies will not only enhance professional opportunities but also contribute to driving innovation and shaping the future of industries worldwide.

Check out upGrad’s courses on new technologies Machine Learning, Data ScienceBlockchain, Machine Learning designed for working professionals. Get your hands-on practical projects and get job assistance with top firms.

If you’re interested to learn more about machine learning, check out IIIT-B & upGrad’s Executive PG Programme in Machine Learning & AI which is designed for working professionals and offers 450+ hours of rigorous training, 30+ case studies & assignments, IIIT-B Alumni status, 5+ practical hands-on capstone projects & job assistance with top firms.

What is the best technology to learn in 2023?

Artificial Intelligence, Blockchain, Cloud Computing, Data Science, Virtual Reality, Cyber Security etc, are some of the best technology to get into in 2023.

What are the trending technologies in IT Industry 2023?

Blockchain,VR and AR are the most trending technologies in IT industry 2023.

What is the difference between Machine learning and Data Science?

Machine learning is the field of study that combines Machine and Data Science. It provides computers the capability to learn and predict output without human intervention and without being explicitly programmed. It focuses on algorithm statistics and uses various techniques such as regression and clustering to learn about the data and give output. Machine learning is a part of Data Science, and it has three types. Data Science, on the contrary, is a field of study which deals with the process and systems required to extract valuable data from a large amount of unsegregated data. It is the field on which many other technological disciplines are dependent, and it consists of many processes such as data gathering, data cleaning, etc.

What is the scope of Machine learning?

In its most literal sense, machine learning is data-based learning used by machines to make decisions in certain activities. Machine Learning professionals are in high demand, as practically every technology startup and the major corporation wants to engage Machine Learning experts to modernize their businesses. Machine Learning is gaining momentum in a variety of industries, including banking and finance, the investment sector, information technology, entertainment and media, gaming, and the automobile industry. Since the spectrum of Machine Learning is so extensive, there are a few domains where researchers are striving to revolutionize the world's future.

What does edge computing mean?

Edge computing is a networking paradigm that emphasizes placing computation as near as feasible to the data point to reduce delay and bandwidth usage. Edge computing, in a simplified way, implies executing lesser tasks on the cloud and relocating them to designated locations, such as a browser, an IoT device, or just an edge server. By bringing processing to the network's edge, the quantity of long-distance transmission between a client and server is reduced. While maintaining the centralized characteristics of cloud computing, edge computing brings computation closer to end-users to minimize the distance that data must travel.

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