Upskilling has become essential to remaining relevant in the work market of today as technology advances at an accelerated rate. Businesses will rely on technology to run their operations even more in 2023.

Therefore, upgrading one’s skills in networking technologies like cybersecurity, cloud computing, and artificial intelligence can be quite advantageous for professionals.

There will be a significant need for people with extensive knowledge and competence in these fields as these technologies spread and grow more sophisticated.

Upskilling in networking technologies can also boost your worth to employers and make you more marketable, which could result in pay raises and job prospects. Overall, upgrading your skills in networking technologies is a wise investment in the development of your future job.

Discover the Top 10 Networking Trends for 2023: Job, Salaries, and Technologies in the USA and Other Countries with Necessary Qualifications.

Table of Contents

1. Cybersecurity in Networking
2. Network Automation and Orchestration
3. Edge Computing
4. 5G and Wi-Fi 6
5. Network slicing
6. Network resilience
7. Artificial intelligence (AI) and machine learning (ML)
8. Software-Defined Networking (SDN)
9. Network observability
10. Network programmability
11. Quantum networking
12. Network Function Virtualization (NFV)
13. Internet of Things (IoT) Networking
14. Cloud Networking
15. Blockchain in Networking

1. Cybersecurity in Networking

• Technology examples: Firewalls, Intrusion Detection Systems (IDS), VPNs.
• Job roles: Network Security Engineer, Cybersecurity Analyst.
• Job salary (USA): $100,000 – $200,000 per year.
• Programming knowledge: Python, Bash scripting.
• Prerequisites: Understanding of network security principles, and experience in threat detection and prevention.

2. Network Automation and Orchestration

• Technology examples: Ansible, Puppet.
• Job roles: Network Automation Engineer, DevOps Engineer.
• Job salary (USA): $105,000 – $210,000 per year.
• Programming knowledge: Python, YAML.
• Prerequisites: Knowledge of network protocols, and experience with configuration management tools.

3. Edge Computing

• Technology examples: Azure Stack Edge, AWS Outpost.
• Job roles: Edge Network Engineer, Solutions Architect.
• Job salary (USA): $110,000 – $220,000 per year.
• Programming knowledge: Python, Go.
• Prerequisites: Understanding of distributed computing, knowledge of IoT and cloud technologies.

4. 5G and Wi-Fi 6

• Technology example: 5G is the fifth generation of cellular network technology, and Wi-Fi 6 is the latest version of the Wi-Fi standard.
• Job role: Network engineer.
• Salary in USA (USD): $120,000.
• Programming knowledge: Basic programming knowledge is helpful for network engineers, but it is not required.
• Pre-req: A bachelor’s degree in computer science, information technology, or a related field is typically required for this role.

5. Network slicing

• Technology example: Network slicing is the process of dividing a network into multiple logical networks, each with its own dedicated resources. Network slicing can be used to support a variety of applications, such as 5G, IoT, and cloud computing.
• Job role: Network slicing engineer.
• Salary in USA (USD): $120,000.
• Programming knowledge: A strong understanding of programming languages, such as Python, R, and Java, is essential for network-slicing engineers.
• Pre-req: A master’s degree in computer science, networking, or a related field is typically required for this role.

6. Network resilience

• Technology example: Network resilience is the ability of a network to withstand disruptions and continue to operate. Network resilience is becoming increasingly important as the world becomes more interconnected.
• Job role: Network resilience engineer.
• Salary in USA (USD): $140,000
• Programming knowledge: A strong understanding of programming languages, such as Python, R, and Java, is essential for network resilience engineers.
• Pre-req: A master’s degree in computer science, networking, or a related field is typically required for this role.

7. Artificial intelligence (AI) and machine learning (ML)

• Technology example: AI and ML are being used to automate network tasks, improve performance, and detect and prevent security threats. For example, AI can be used to optimize traffic flows, identify and troubleshoot network problems, and predict future network demand.
• Job role: Data scientist.
• Salary in USA (USD): $150,000.
• Programming knowledge: A strong understanding of programming languages, such as Python, R, and Java, is essential for data scientists.
• Pre-req: A master’s degree in computer science, data science, or a related field is typically required for this role.

8. Software-Defined Networking (SDN)

• Technology examples: Cisco ACI, VMware NSX.
• Job roles: Network Engineer, SDN Architect.
• Job salary (USA): $75,000 – $140,000 per year.
• Programming knowledge: Python, Ruby.
• Prerequisites: Good understanding of networking principles, and experience with network infrastructure.

9. Network observability

• Technology example: Network observability is the ability to monitor and analyze network traffic to identify and troubleshoot problems. Network observability is becoming increasingly important as networks become more complex.
• Job role: Network observability engineer.
• Salary in USA (USD): $100,000.
• Programming knowledge: A strong understanding of programming languages, such as Python, R, and Java, is essential for network observability engineers.
• Pre-req: A master’s degree in computer science, networking, or a related field is typically required for this role.

10. Network programmability

• Technology example: Network programmability is the ability to control network devices using software. Network programmability allows for more flexible and dynamic networks.
• Job role: Network programmability engineer.
• Salary in USA (USD): $90,000.
• Programming knowledge: A strong understanding of programming languages, such as Python, R, and Java, is essential for network programmability engineers.
• Pre-req: A master’s degree in computer science, networking, or a related field is typically required for this role.

11. Quantum networking

• Technology example: Quantum networking is a new technology that uses quantum mechanics to transmit data. Quantum networking has the potential to revolutionize networking, as it could allow for much faster and more secure communication.
• Job role: Quantum networking engineer
• Salary in the USA (USD): Not yet determined
• Salary in India (INR): Not yet determinedProgramming knowledge: Not yet determined.
• Pre-req: A Ph.D. in computer science, physics, or a related field is likely to be required for this role.

12. Network Function Virtualization (NFV)

• Technology examples: OpenStack, VMware vCloud.
• Job roles: NFV Engineer, Cloud Architect.
• Job salary (USA): $80,000 – $150,000 per year.
• Programming knowledge: Shell scripting, Python.
• Prerequisites: Understanding of virtualization technologies, and experience with cloud platforms.

13. Internet of Things (IoT) Networking

• Technology examples: LoRaWAN, Zigbee, Bluetooth Low Energy.
• Job roles: IoT Network Engineer, IoT Solutions Architect.
• Job salary (USA): $85,000 – $160,000 per year.
• Programming knowledge: C, Python.
• Prerequisites: Familiarity with IoT protocols and platforms, understanding of sensor networks.

14. Cloud Networking

• Technology examples: Amazon Web Services (AWS), Azure, and Google Cloud.
• Job roles: Cloud Network Engineer, Cloud Solutions Architect.
• Job salary (USA): $95,000 – $180,000 per year.
• Programming knowledge: Python, Terraform.
• Prerequisites: Experience with cloud platforms, and knowledge of virtual network appliances.

15. Blockchain in Networking

• Technology examples: Ethereum, Hyperledger.
• Job roles: Blockchain Network Engineer, Blockchain Developer.
• Job salary (USA): $120,000 – $240,000 per year.
• Programming knowledge: Solidity, JavaScript.
• Prerequisites: Understanding of blockchain technology, and experience with smart contract development.

Note that factors like experience, geography, and firm size can affect how much a job pays. According to particular work requirements and industry demands, programming and precondition requirements could also change.

If you are interested in learning more about networking technology and staying up to date on the latest trends, I would highly recommend checking out Sun Networking Technology YouTube Channel and online training courses. Our resources are.

Thank you for your valuable time.