Internet of Things Revolutionizing Modern Connectivity 2025

The Internet of Things is progressing so swiftly that annual predictions regarding trends often appear outdated almost immediately after their release as articles or blog posts.

As innovation continues to evolve, it catalyzes rapid changes and advancements, ultimately leading to accelerated growth over time. However, professions centered around innovation do not evolve at the same pace; they are developing, and seasoned professionals in IT and IoT understand that their roles will not remain static.

The IT professional of the 21st century must continuously engage in learning, whether they feel inclined to or not. This underscores the importance of staying informed about emerging technological trends and maintaining a forward-looking perspective to identify the knowledge and skills necessary to meet evolving job demands.

Below are eight technological trends to monitor in 2025, along with some of the careers that these trends may create. Now is the ideal time to prepare for one of these burgeoning professions in technology and the Internet of Things.

Artificial Intelligence and the Internet of Things:

Artificial Intelligence (AI) and the Internet of Things (IoT) have generated considerable interest recently, although their influence on our daily lives, work, and leisure is still unfolding.

AI encompasses various domains, including machine learning, which we will explore further. AI systems are designed to replicate human cognitive abilities and can perform tasks such as image and speech recognition, pattern detection, and decision-making more quickly and accurately than humans.

AI has been around since 1956 and has become widely integrated into everyday life, with approximately five out of six Americans utilizing AI and IoT services daily. These services range from fitness tracking apps and streaming management to personal assistants, ride-sharing applications, and smart home technologies.

Beyond consumer applications, AI is also employed in sectors such as transportation planning, business risk assessment, predictive maintenance, and energy efficiency, among numerous other profitable ventures.

AI is a significant component of what is broadly referred to as automation, and the rise of robotics raises concerns about potential job displacement.

According to estimates, automation could eliminate an additional 73 million jobs by 2030. Nonetheless, AI is also creating new employment opportunities, particularly in the fields of AI and IoT, with projections suggesting that the demand for jobs in AI could reach 23 million.

Positions such as AI developers, software testers, and support specialists are examples of roles that are emerging in this evolving landscape. Some experts believe that data scientists will continue to be in high demand for their specialized skills.

Machine Learning and the Internet of Things:

Machine learning and the Internet of Things (IoT) are both branches of artificial intelligence (AI). In machine learning, computers are designed to learn new tasks rather than being explicitly programmed for them, discovering patterns and insights from data in the process. There are generally two types of learning: supervised and unsupervised. While machine learning is a part of AI, it also contains subdivisions such as Neural Networks, Natural Language Processing (NLP), and Deep Learning, each offering unique career opportunities within a growing field.

The adoption of machine learning is accelerating across various industries, leading to a significant demand for skilled professionals. The market for machine learning and IoT is projected to reach $8.81 billion. These applications are utilized for tasks such as data analysis, data mining, and pattern recognition. For consumers, machine learning enhances experiences through improved web search results, targeted ads, and network security, among other functions.

In addition to automating numerous tasks, machine learning is also creating job opportunities. Positions related to machine learning are among the top emerging roles on LinkedIn, with nearly 2,000 job postings available. These positions offer attractive salaries; for instance, in 2017, the average salary for a machine learning engineer was $106,225. Careers in machine learning include roles for engineers, developers, researchers, and data scientists.

Internet of Things and Automated Processes or RPA:

Similar to AI and Machine Learning, Robotic Process Automation (RPA) is a technology that streamlines work processes through programming, allowing tasks such as application decoding, transaction setup, data management, and message responses to be automated.

RPA handles tedious tasks that were once performed by humans. These tasks are not limited to low-wage roles; in fact, up to 45 percent of tasks across various job levels—including those of managers, finance professionals, and executives—can be automated.

Forrester Research estimates that RPA could lead to the creation of over 230 million jobs, representing about 9 percent of the global workforce, while also transforming current roles. McKinsey’s research indicates that while less than 5 percent of jobs can be entirely automated, around 60 percent can be partially automated.

For IT/IoT professionals looking to the future and assessing innovation trends, RPA presents numerous career prospects, such as engineer, project leader, business analyst, solution architect, and consultant. These positions tend to offer attractive salaries; according to SimplyHired.com, the average salary for RPA roles is $73,861, which encompasses a range from entry-level positions to senior engineers, with 10 percent earning over $141,000 annually.

Internet of Things and Blockchain:

While many associate blockchain primarily with digital currencies like Bitcoin, its security benefits extend far beyond that. Simply put, blockchain is a type of data that can only be added to, not removed or altered. This concept can be visualized as a “chain” of information, where the inability to change previous entries enhances its security.

Additionally, as detailed in a Forbes article, there are structural limitations in place that prevent any single entity from controlling the data. With blockchain technology, there is no need for an external authority to oversee or validate transactions. This level of security is why blockchain is utilized for cryptocurrencies and is also capable of safeguarding sensitive information, such as personal medical records.

Furthermore, blockchain has the potential to significantly enhance global supply chains and secure assets like artwork and real estate. As the demand for blockchain technology grows, so does the need for skilled professionals. Currently, blockchain-related jobs rank as the second-fastest growing occupation, with 14 job openings for every blockchain engineer.

A blockchain engineer specializes in designing and implementing solutions using blockchain technology, earning an average annual salary of $130,000. However, engineering roles are not the only opportunities in the blockchain field; companies are also seeking software developers, analysts, and project managers. Job openings are available across various sectors, including finance, retail, and healthcare, and are expected to continue increasing.

Edge computing:

Recently, the way computing is monitored has shifted, with distributed computing becoming the norm. Major players in this market now include AWS (Amazon Web Services), Microsoft Azure, and Google Cloud. The adoption of distributed computing alongside the Internet of Things (IoT) is growing, as more organizations transition to cloud solutions.

However, edge computing represents a significant advancement rather than just an incremental improvement. It focuses on moving computing resources closer to the data source. As the amount of data we handle continues to rise, we’ve begun to recognize the limitations of distributed computing in certain scenarios.

Edge computing aims to mitigate these challenges by reducing latency associated with distributed systems and facilitating faster data processing in server farms. It operates “on the edge,” near where data generation occurs, allowing for the handling of time-sensitive information in remote locations with limited or no connectivity.

In such situations, edge processing can function similarly to small data centers. The use of edge processing is expected to grow as the number of IoT devices increases. The global edge computing market is projected to reach $6.72 billion, which will also drive job demand, particularly for software engineers in this expanding sector.

Virtual Reality and Augmented Reality:

Virtual Reality (VR) immerses users in a fully simulated environment, while Augmented Reality (AR) enhances the real world by adding digital elements. Although VR has mainly been associated with gaming so far, it has also found applications in training, such as VirtualShip, a simulation tool for preparing commanders in the US Navy, Army, and Coast Guard. A well-known example of AR is Pokémon Go. Both technologies hold significant promise for training, entertainment, education, presentations, and even rehabilitation.

They can be utilized for medical training, creating more engaging experiences for audiences, enhancing hobby activities, or even improving advertising, like the Pepsi Max augmented reality cap. According to a Monster.com article, the number of people seeking jobs that require VR knowledge has increased by 37%, although accessing these opportunities can be challenging.

This demand is expected to grow. Major players in the VR market include Google, Samsung, and Oculus, but many startups are emerging, some of which may struggle to survive in this competitive landscape. Entering the field of virtual reality doesn’t necessitate extensive specialized knowledge; individuals with core programming skills and leadership potential can find opportunities, while many companies are also looking for expertise in optics and hardware development.

Cyber Security:

Although digital security may not appear to be a rapidly evolving field due to its long-standing presence, it is advancing in a manner similar to other technologies. This is largely due to the ever-evolving nature of threats; malicious hackers seeking unauthorized access to data are unlikely to relent and will continue to find ways to bypass even the most robust security measures.

Furthermore, there is a constant modification of technology aimed at enhancing security levels. According to one expert, three significant advancements in this area include hardware authentication, cloud technology, and deep learning. Other critical aspects involve proactive defenses and regular assessments.

As long as hackers exist, digital security will remain a dynamic field, continually adapting to safeguard against these threats. The demand for cybersecurity professionals is evident in the rapidly increasing number of job openings in this sector, which is growing significantly faster than other tech-related careers.

However, there is a notable shortfall in qualified candidates to fill these roles, with an estimated 3.5 million cybersecurity positions unfilled. Many professionals in this field command six-figure salaries, and career paths can vary from coder to security engineer to chief security officer, making it an attractive option for anyone looking to enter and thrive in this industry.

The Internet of Things:

The Internet of Things (IoT) may sound like a game you play on your phone, but it’s actually the future of technology. Many devices are now equipped with WiFi, allowing them to connect to the internet and to each other. This connectivity enables a wide range of gadgets, home appliances, vehicles, and more to share information online. Currently, we are just at the beginning of the IoT journey: there were 8.4 billion IoT devices in 2017, and this number is projected to reach 30 billion by 2020.

As consumers, we are already experiencing the benefits of the IoT. For instance, we can remotely unlock our doors if we forget, preheat our ovens while commuting home, track our fitness with devices like Fitbits, and hail rides through services like Lyft.

However, businesses also stand to gain significantly from IoT technologies. By collecting and analyzing data, organizations can enhance health outcomes, boost productivity, and improve decision-making. The IoT can facilitate predictive maintenance, expedite repairs, enhance customer service, and unlock new opportunities that we haven’t even envisioned yet.

Despite the advantages the IoT offers, experts warn that there is a shortage of qualified IT professionals ready to take on IoT roles. According to an article from ITProToday.com, we will need an additional 200,000 IT workers to meet demand, while a survey revealed that 25.7% of engineers believe lack of skills is the biggest obstacle to growth in this area.

For those interested in a career in the IoT field, there are numerous opportunities available. Key skills in demand include IoT security, cloud computing knowledge, data analysis, robotics, understanding embedded systems, and machine learning, among others. Ultimately, the IoT encompasses a wide variety of technologies, and as a result, the skills required are equally diverse and evolving.

Addressing the Skills Gap in IoT:

Let’s focus on a specific area: IoT security. Daniel Messler, CEO of Alarm Departments at the cybersecurity firm IOActive, explains, “IoT security encompasses various aspects such as security tools, security listings, security rankings, application security, versatile security, web application security, cloud security, and an overall security framework.”

He emphasizes that to be proficient in IoT security, individuals must have experience in many of these domains, making it challenging for companies to find qualified personnel, especially since there are not many experts available worldwide. “However, you can still make progress if you can move quickly,” he adds. Agarwal points out that businesses urgently need these specialists and cannot afford to delay hiring them while candidates complete a four-year degree or return to school for a graduate degree. He suggests focusing on certifications and shorter programs across various relevant fields.

Soft skills:

The Internet of Things (IoT) is an ever-evolving field, so don’t expect to simply sit at your desk all day. “You need strong communication, critical thinking, and investigative skills,” says Glenn. “I would often expect candidates to have some experience in support roles.”

Since you’ll be collaborating with others to implement IoT systems and troubleshoot their challenges, a positive attitude and effective teamwork are essential, according to Agarwal.

Many IoT documents are created without being directed to the department or client that will use them, so it’s important to understand the elements you’re considering and know how to present IoT solutions to specific organizations. The Internet of Things is not just technology; it’s an ecosystem, and you need to learn how to thrive within it. You’ll need to interact with various teams within your organization and communicate effectively with all of them.

When hiring an IoT security expert, IOActive’s Miessler emphasizes, “The main thing to look for is whether they understand that IoT systems can be vulnerable and exploited. This involves understanding how each component connects to others, how the system manages authentication, how the framework is deployed securely, how data is recorded, and what detection and response capabilities exist.”

In conclusion

The rapid evolution of the Internet of Things (IoT) stands as a testament to the transformative power of technology and its capacity to reshape our daily lives, industries, and economies. As we have explored throughout this article, the pace at which IoT technologies are developing is not only astounding but also presents significant challenges for stakeholders across various sectors. The continuous influx of new devices, enhanced connectivity, and intelligent data analytics has ushered in an era where traditional business models are being redefined, and innovative solutions are being crafted to meet the demands of a hyper-connected world.

Given the dynamic nature of IoT, the importance of staying ahead of the curve cannot be overstated. Companies and organizations must embrace a proactive approach to adapt to ongoing changes, ensuring they remain relevant and competitive in the face of continuous technological disruption. This necessitates a commitment to ongoing education, investment in research and development, and collaboration across disciplines to harness the full potential of IoT.

Moreover, as IoT continues to integrate deeper into our personal and professional lives, the implications for privacy, security, and ethical considerations become increasingly critical. The interconnectedness of devices raises pertinent questions about data ownership, user consent, and the potential for exploitation. Therefore, it is crucial for policymakers, industry leaders, and consumers to engage in meaningful dialogue to establish robust frameworks that prioritize security and privacy while fostering innovation.

Looking ahead, the future of IoT is both exciting and uncertain. Emerging trends such as edge computing, artificial intelligence integration, and the growing emphasis on sustainability will likely shape the trajectory of IoT development in the coming years. As these technologies converge, we can anticipate a more seamless, efficient, and intelligent ecosystem that enhances our quality of life and drives economic growth.

In summary, while the rapid pace of IoT innovation may render yearly forecasts obsolete, it also opens the door to boundless opportunities for creativity and advancement. By embracing the challenges and possibilities that lie ahead, we can navigate the complexities of this evolving landscape and unlock the true potential of the Internet of Things, ultimately leading to a more connected, efficient, and sustainable future for all.