11 Digital Transformation Trends That Will Shape The Future

By harnessing the power of emerging technology, companies can improve business performance with operational improvements that improve their interactions with customers. But digital transformation works best when companies identify and rethink processes and procedures that may be inadvertently holding them back.

That requires careful planning and foresight. Start by considering the following 11 digital transformation trends, and anticipating how you can implement them in your business.

11 Digital Transformation Trends

11 Digital Transformation Trends

Trend 1: Blockchain Technology

The potential of blockchain technology has evolved in recent years, and more businesses are looking closely at how they can use it to transmit and receive payments directly. These peer-to-peer networks do not require centralized verification for payment processing. As a result, deploying a blockchain system can lower transaction costs. Blockchain also provides improved data security, better transparency, real-time inventory availability, and more precise documentation. 

Trend 2: Robotic Process Automation

Robotic process automation (RPA), also known as software robotics, uses automation technologies to integrate and perform repetitive tasks between enterprise and productivity applications. By deploying scripts that emulate human processes, RPA tools complete the autonomous execution of various activities and transactions across unrelated software systems. As just one example, companies may use RPA to mimic office tasks, such as extracting data, filling in forms, moving files, etc.

Trend 3: Artificial Intelligence

Artificial intelligence (AI) and machine learning (ML) will continue to hold a place at the forefront of the technology sector in 2022. Rapid changes in the field hold great promise for even more significant breakthroughs. Various factors such as the growth of data-based AI, advancements in deep learning, and the push for robotic autonomy to stay competitive in a global market are expected to drive the adoption of AI solutions and services.

Trend 4: Augmented Intelligence

Augmented intelligence (also known as intelligence amplification, or IA) uses ML and predictive analytics of data sets to enhance human intelligence by improving human decision-making and, by extension, their actions. Companies are already using augmented intelligence to help their employees to make more accurate, data-driven decisions. Furthermore, augmented intelligence is emerging as a way to use and prioritize data by providing predictive analytics to organizations.

Trend 5: Hybrid Workplace

The COVID-19 pandemic redefined the workplace, as it became clear that physical location matters less than access to the technology that connects people. As a result, companies are rethinking their traditional office structures, including combining on-site and remote work. It’s a tricky balance for many businesses, and it certainly doesn’t work for everyone. Adopting a hybrid workplace requires investments in technology and tools that will streamline communication, documentation, and data in new ways – while also ensuring security.

Trend 6: 5G

5G technology in mobile networks holds promise for improved and faster connections between more devices and machines at the same time, while also reducing costs. 5G can deliver multi-Gbps data speed, along with ultra-low latency, improved reliability, and better network capabilities. Some of the biggest benefits of 5G for businesses include improved communication and easier implementation for the Internet of Things (IoT) devices. It also will impact the use of virtual reality and augmented reality technology.

Trend 7: Zero Trust

Zero Trust is a framework for securing infrastructure and data to address challenges like remote workers, hybrid cloud environments, and ransomware threats. Zero Trust requires all users, whether in or outside the organization’s network, to be authenticated, authorized, and continuously validated for security before getting or keeping access to applications and data. Zero Trust can be used with local, cloud, or hybrid networks, as well as for workers in any location.

Trend 8: Software 2.0

Derived from Web 2.0, Software 2.0 refers to the second generation of software development methodologies where users develop and share their own applications via the internet in a virtual community. These applications can be developed individually or via open-source projects, where developers collaborate and the code is provided to end users. Software 2.0 also applies to generative programming, which focuses on the automatic synthesis of software from high-level specifications and code generation. 

Trend 9: Everything-As-A-Service (XaaS)

Everything-as-a-Service (XaaS) refers to anything in the IT sector that can be delivered as a service via cloud computing. This trend began with Software-as-a-Service (SaaS) and quickly evolved into Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS), Disaster Recovery as a Service (DRaaS), and others as cloud services rapidly expanded. Benefits include lower costs with improved accessibility, as well as easier functionality and faster implementation. 

Trend 10: Generative AI

Generative AI is a technology that helps create artifacts that formerly relied on humans, offering results without any biases resulting from human thoughts and experiences. Generative AI determines the original pattern to generate authentic pieces that showcase the training data features. The goal is to offer higher-quality results through ML from the datasets. It also helps to work through specific challenges linked with a project and allows bots to understand abstract concepts.

Trend 11: Customer Data Platform

A customer data platform (CDP) provides a centralized database that enables users to collect, manage, and activate data from multiple sources in order to affect the digital customer experience. CDPs collect and integrate all forms of customer data with the intent to create a unified profile of a single customer persistently over time. CPDs collect a variety of data types to help inform the actionable instructions they deliver back out to other technology platforms to personalize the digital customer experience. 

Why Choose InApp?

InApp’s digital transformation experts help companies invest in the best technologies to boost their digital strategy, increase revenue, cut costs, improve security, and streamline business processes. InApp helps our clients drive a digital change agenda and future-proof their technology landscape to implement a modern digital backbone. Learn more about InApp’s work by visiting our customer case studies.


Digital transformation helps companies boost their technology initiative, which can result in the ability to increase revenue, cut costs, improve security, and streamline business processes. Contact the digital transformation experts at InApp to discover how it can improve your organization’s performance.