Acquiring the necessary skills to use the most in-demand technologies has become a must for all tech professionals worldwide. Technical skills encompass the computing abilities required to perform specific tasks. As such, highly technical staff help organizations create optimal products and services and offer superior customer service.

This post will tackle why it is important for most if not all employees to acquire technical skills particularly in using the 10 most in-demand tech today. Keep in mind that without knowing even the basics, you won’t be able to help your organization stay ahead of the curve in the digital age.

Why Do Today’s Professionals Need Tech Skills?

A PwC survey of 10,000 participants from China, Germany, India, the U.K., and the U.S. revealed that 53% believed technological breakthroughs are set to transform the way we work in the next 5–10 years. And they are not wrong, given that more than 90% of the world’s companies are currently implementing digital initiatives.

That said, every employee needs to keep up by acquiring or improving their tech skills due to these reasons:

  • Technology skills increase employability across industries, making professionals with these skills highly sought-after.
  • Possessing tech skills offers career flexibility and mobility, allowing for easier transitions between roles and sectors.
  • The universal demand for technical skills means professionals can pursue opportunities globally. They don’t have to be limited by geographical boundaries.
  • Tech know-how can open entrepreneurial paths, enabling the establishment of new businesses or creation of innovative solutions.
  • Acquiring technical skills allows individuals to contribute to projects with a global impact, addressing societal challenges through technology.
  • Tech skills empower professionals to contribute to societal advancements, whether through developing solutions for social issues, improving accessibility, or enhancing the quality of life through innovation.

What Are the Top 10 Tech You Need to Become Skillful in for Professional Growth?

Now that you have a good idea why acquiring technical skills is critical, you may want to know what technologies you need to learn most about in 2024.

For their part, organizations may want to know which technologies they should consider investing in. And for that matter, what to focus on in terms of employee training and development.

Let’s dive in. 

Top 10 Tech You Need to Become Skillful in for Professional Growth

Tech #1: Artificial Intelligence and Machine Learning

Artificial intelligence (AI) is a simple automation solution that lets users solve complex problems faster than they normally would. And machine learning (ML) is a subset of AI that uses algorithms to help users make predictions and decisions. Both technologies can enhance business processes by allowing employees to reap the benefits of intelligent applications, predictive analytics, and automation.

Why the Need for Artificial Intelligence and Machine Learning?

AI usage will significantly rise at a growth rate of 37.3% causing the AI market value to grow to US$407 billion by 2027. The ML market was valued at US$19.2 billion in 2022 and is expected to reach US$225.91 billion by 2030 at a growth rate of 36.2%. Apart from these stats, here’s an overview of how AI and ML use can benefit your organization.

  • AI and ML can drive product and service innovation.
  • AI and ML enhance data analysis and decision-making.
  • AI and ML automate complex processes.

Who Needs Skills Training in Artificial Intelligence and Machine Learning?

  • Data scientists
  • ML engineers
  • Research scientists
  • AI developers
  • Business analysts

Like any other technology, AI and ML usage has certain pros and cons. Take a look at them below.

Artificial Intelligence and Machine Learning pros and cons

Tech #2: Multicloud Computing

Multicloud computing is an approach to effectively using cloud services from various vendors or providers. It requires creating a cloud computing setup that combines different cloud options—public, private, and hybrid clouds. As such, many multicloud applications offer users a means to customize cloud solutions to suit their different needs while reducing expenses and combining the strengths of multiple cloud platforms.

Why the Need for Multicloud Computing?

The multicloud computing market size reached US$8.6 billion in 2022 and is set to grow by 25% to a projected value of US$87.3 billion by 2032. Here are some benefits the tech can provide.

  • Ensures business continuity and disaster recovery
  • Provides scalability and flexibility
  • Reduces costs and optimizes performance

Who Needs Skills Training in Multicloud Computing?

  • Cloud architects
  • Cloud computing consultants
  • IT managers
  • Systems engineers
  • DevOps engineers

Before jumping on the multicloud computing bandwagon, consider its pros and cons first.

Multicloud Computing pros and cons

Tech #3: Cybersecurity

Cybersecurity employs algorithms, binary programming, and other measures to protect computers, networks, and data from unauthorized access, threats, damage, or loss caused by both internal (e.g., insiders) and external factors (e.g., hackers).

Why the Need for Cybersecurity?

The phishing attack volume alone has increased by 48% with 11,395 incidents costing US$2.3 million in 2022. With even more threats out there, the cybersecurity market is set to reach US$256.50 billion at a growth rate of 9.63%. What can better cybersecurity give your organizations?

  • Protects against data breaches and other cyber threats
  • Ensures regulatory compliance
  • Maintains customer trust and business reputation

Who Needs Skills Training in Cybersecurity?

  • Cybersecurity analysts
  • Network security engineers
  • IT security consultants
  • CISOs
  • Ethical hackers

Take a look at the advantages and disadvantages of upping your cybersecurity posture.

cybersecurity pros and cons

Tech #4: Python

Python is an interpreted and object-oriented high-level programming language with dynamic semantics. That said, it is highly flexible and can be applied to a wide range of projects due to its support for multiple programming paradigms.

Why the Need for Python?

Python usage grows by 27% year-over-year, making it the most popular programming language to date. But if you’re doubting its importance, here are some reasons why it has become a must for techies to learn.

  • Facilitates rapid development and prototyping
  • Supports a wide range of applications
  • Has a vast ecosystem of libraries and frameworks

Who Needs Skills in Python?

  • Software developers
  • Data scientists
  • AI and ML engineers
  • Backend developers
  • Academic researchers

Still on the fence about enhancing your staff’s Python programming skills. Maybe our list of pros and cons can help.

Python pros and cons

Tech #5: Kubernetes

Kubernetes, often abbreviated as “K8s,” is an open-source platform designed to automate application container deployment, scaling, and operation across cluster hosts. It simplifies container management by providing tools for deploying applications, scaling them as necessary, and managing changes to existing containerized applications. It also optimizes underlying container hardware to enhance performance and efficiency.

Why the Need for Kubernetes?

More than 50% of Fortune 100 companies have adopted Kubernetes, making it the container orchestration platform of choice for enterprises. In fact, around 70% of IT pros and hiring managers said they are on the lookout for Kubernetes developers. Here are other Kubernetes pluses that may help you decide on its usefulness.

  • Enables efficient application scaling
  • Facilitates automated deployment and rollback
  • Enhances infrastructure efficiency and reliability

Who Needs Skills in Kubernetes?

  • DevOps engineers
  • Cloud engineers
  • System administrators
  • Software developers
  • IT project managers

Want to know more about the Kubernetes platform? Take a closer look at our list of pluses and minuses below.

Kubernetes pros and cons

Tech #6: Robotics and Automation

Robotics and automation are all about designing, building, programming, and managing automated systems, making them important for industries ranging from manufacturing to healthcare.

Why the Need for Robotics and Automation?

The robotics market is expected to grow from US$2.6 billion to US$4 billion by 2028 at a rate of 9.1%. Add to that the fact that the AI industrial robotics market alone is slated to grow by 11.54%, reaching a value of US$20.64 million by 2030. We listed a few more points on why organizations need robotics and automation pros.

  • Reduces operational costs and increases productivity by automating repetitive tasks
  • Enhances workplace safety by letting robots take over dangerous tasks
  • Drives product development and process innovation

Who Needs Skills in Robotics and Automation?

  • Robotics engineers
  • Manufacturing engineers
  • Systems integrators
  • Logistics and supply chain managers
  • Military and defense personnel
  • Environmental scientists
  • Conservationists

Why take a gander in robotics and automation? Maybe we can help.

Robotics and Automation pros and cons

Tech #7: Computer Vision

Computer vision is a solution that transforms and converts images and videos into actionable insights. It is essential in AI-powered vehicles, facial recognition systems, quality control departments, and augmented reality (AR) apps to enhance interactions.

Why the Need for Computer Vision?

The global 3D machine vision market is expected to reach US$3.46 billion by 2027 driven by the increasing demand for quality inspection and automation in different industrial avenues. Here are other benefits computer vision provides.

  • Facilitates the automation of tasks that require visual recognition
  • Improves accuracy in identifying and classifying visual data
  • Enables the development of innovative applications across industries

Who Needs Skills in Computer Vision?

  • Software developers and engineers
  • AI and ML specialists
  • Robotics engineers
  • Automotive industry professionals
  • Agricultural technologists
  • Manufacturing and quality control engineers
  • Security and surveillance professionals
  • Retail and e-commerce specialists

If you’re still undecided and need a bit of a push, consult our comparison below.

Computer vision pros and cons

Tech #8: Data Analytics

Data analytics refers to extracting insights from data and transforming it into active insights for decision-making and strategic planning. It is critical for business intelligence, market research, and operational optimization across industries.

Why the Need for Data Analytics?

As much as 91.9% of organizations have attained measurable value from their data analytics investments in 2023. In addition, the global big data analytics market is worth US$307.52 billion. Need a bigger push to employ data analytics? Here are a few reasons.

  • Makes it easy to make accurate data-driven decisions
  • Enables the analysis of historical information to identify patterns and trends
  • Analyzes customer satisfaction, interest, and loyalty to build engagement

Who Needs Skills in Data Analytics?

  • Data scientists
  • Business analysts
  • Marketing professionals
  • Financial analysts
  • Operations managers
  • Public policy analysts
  • Product managers

Let’s help you make an informed decision.

data analytics pros and cons

Tech #9: Blockchain

Blockchain is a technology that records transactions across multiple computers, regardless of location. It is thus known as a decentralized ledger that is used to secure transactions and make them transparent and decentralize applications.

Why the Need for Blockchain?

Gartner believes the global blockchain market will grow to US$3.1 trillion by 2030. As such, nine out of 10 governments worldwide are planning to invest US$6.5 billion dollars in blockchain technology. They are convinced the tech will:

  • Enhance data security and integrity through decentralization and cryptographic hashing
  • Ensure transaction transparency and traceability, benefiting supply chains and financial services
  • Reduce the need for intermediaries, speeding up transactions and lowering costs

Who Needs Skills in Blockchain?

  • Software developers and engineers
  • IT professionals
  • Financial services and banking professionals
  • Supply chain managers
  • Legal and regulatory professionals

Get better informed with our aid.

blockchain pros and cons

Tech #10: Quantum Computing

Quantum computing gives organizations the ability to perform complex operations on data, including superposition. It solves complex problems in cryptography, optimization problems, and drug discovery.

Why the Need for Quantum Computing?

McKinsey believes that by 2030, the quantum computing market will reach a value of US$3 billion. But since it is expected to run trillions of operations in a second, that spending is well worth it. Here are a few more reasons why organizations may need to join the quantum computing club.

  • Processes complex calculations at unprecedented speeds compared to classical computers
  • Solves superposition problems using intractable classic computers
  • Creates a pathway for particle physics, quantum chemistry, and materials science

Who Needs Skills in Quantum Computing?

  • Quantum researchers and scientists
  • Cryptographers
  • Security experts
  • Data scientists and analysts
  • Pharmaceutical and biotech researchers
  • Financial analysts
  • Economists
  • Supply chain managers
  • Aerospace engineers

Need to know more before you’re convinced? Consider these facts.

quantum computing pros and cons

Conclusion

Keeping up with the times requires brushing up your staff’s technical skills every now and then to boost efficiency, innovation, and competitiveness. However, that may require significant investments. Fortunately, only by spending more can organizations remain competitive.