Nine Tech Trends in 2021 to Watch Out for

According to Gartner, there are nine technology trends coming in 2021. Experts believe that these technologies will be relevant for at least the next 5 years.

Internet of Behavior (IoB)

Internet of Behavior (IoB) is definitely a new trend. This term is meant as the collection and use of so-called "digital dust", that is, digital traces that people leave in their daily life: face recognition, location tracking and big data, including those from smartphones and wearable devices, and in the future - from sensors implanted in the human body.

Gartner estimates that by the end of 2025, more than half of the world's population will participate in at least one IoB program.

Intelligent Composable Business

Is a business that can adapt and rebuild depending on the current situation, using technologies that allow you to quickly get the functionality you need. Such technologies can be provided by suppliers or developed in-house.

As companies accelerate their digital transformation, they need to become more agile and make faster decisions, which require better access to data. Companies use Big Data technologies to make informed decisions based on data.

Cybersecurity Mesh

Such a network allows people to securely access any digital asset, regardless of where that asset or person is located. These security systems will focus on organizing a security perimeter around each user. This is due to the growing demand for cloud technology and the increase in the number of remote workers, as a result of which the approach to organizing security within the company is no longer working - many users are dispersed outside of them.

Experts believe that by 2025, the cybersecurity network will support more than half of digital access management requests.

Total Experience

You need to consolidate the experience of customers, employees and users in a multi-channel environment. Companies need a strategy to combine experiences as interactions become more mobile, virtual and distributed. Leveraging consolidated data to create a unified strategy can deliver significant business benefits.

For example, Gartner predicts that companies using Total Experience will outperform the competition in key customer satisfaction metrics over the next three years.

Hyper Automation


There is a strong demand for the automation of repetitive manual processes and tasks. Therefore, RPA - robotic process automation - remains a noticeable trend, as it was last year.

At the same time, task-based automation is increasingly being replaced by process-based automation. This is what Gartner calls hyper-automation. It involves the optimization of business processes at a qualitatively new level, the use of innovative technologies, including artificial intelligence and machine learning.

Anywhere Operations

Operations Everywhere is a business model designed to support customers, operate employees, and deliver services from anywhere in the world. There was a trend towards this in the past, but in 2020, the pandemic accelerated the movement in this direction.

Gartner is confident that by the end of 2023, 40% of companies will use “operations anywhere” to combine virtual and physical interactions with customers and employees.

AI Engineering

AI engineering is about providing engineering discipline and a solid structure that will highlight the existence of AI projects and ensure they are scaled and deployed. Gartner considers this important - according to their research, only half of AI projects go from prototyping to implementation.

AI engineering is based on DataOps, ModelOps, and DevOps methodologies to improve the reliability and performance of AI models, as well as the return on investment that companies make in artificial intelligence.

Distributed Cloud

Public cloud services are distributed to different locations outside of the provider's data centers, but the responsibility for operating, managing, and developing them remains with the cloud provider.

For companies, this means the ability to locate data centers and their services in one location, which reduces latency and helps comply with laws that require data to be stored in a specific geographic area. According to Gartner, by 2025, most cloud providers will provide some kind of distributed cloud services.

Privacy-Enhancing Computation

Privacy is becoming increasingly important as global data protection laws mature. Gartner predicts that by 2025, half of large companies will implement privacy-enhancing computing to handle data in insecure environments and leverage multi-stakeholder data analytics. Such computation protects data while maintaining confidentiality.

Our Accellabs company is developing its own RPA products and has vast experience in privacy protection services. Also, one of our clients is a global leader in digital security products. With over 400 million users online, the company is offering products under several brands that protect people from threats on the internet.