Technology advancements continue to devastate the environment. If these more recent initiatives gain traction and intensify, expect to see additional strategic and revolutionary developments in 2023. MediaPeanut estimates that the IT sector grows by 5-6% annually. Emergent innovations may be used to your advantage in the early phases, giving you a competitive edge by jumping on them sooner.

Several new technologies seem to be headed in the correct direction, despite the fact that it is still impossible to anticipate how trends will change. These are picking up steam, showing some early promise, and may help firms get started on the path to innovation and growth. Here are our picks for the most popular new technologies for 2023, along with a brief explanation of each one’s potential. Let’s start dissecting them.

Which 2022 Technology Worked Out the Most

Before examining the trends in information technology of 2023, let’s first take a look at the technologies that fared well in 2022. While interest in 3D printers has sharply declined and the cryptocurrency market is currently experiencing “Crypto winter,” several technologies have performed better, including:


More companies are considering having a presence in the metaverse and improving customer experiences there.

Remote Technologies:

Enterprises benefited from increased productivity, connection, and cooperation thanks to remote technologies.


Businesses rely more on automation to free up resources from laborious, error-prone, slow,

Data and analytics:

To get insights and produce more effective choices, organisations continue to use big data, granular analytics, and visual reporting.

Artificial Intelligence (AI) and Machine Learning (ML):

These two technologies have solidified their positions and are now supporting practically every aspect of a business.

Top 15 Emerging Technologies in 2023

  1. Digital Immune System:

The Digital Immune System, a conglomeration of several methods and technologies, increases the bug resistance of critical applications. assisting in their capacity to bounce back, go on offering their services, manage risks, and maintain business continuity. Businesses who invest in digital immunity, according to Gartner, will see an 80% reduction in downtime, which will result in higher customer satisfaction.

Digital immunity is based on a number of essential concepts, including observability, AI-augmented testing, chaos engineering, auto-remediation, Site Reliability Engineering (SRE), and software supply chain security. Together, they guarantee that systems don’t crash, that services are provided continuously, and that errors are quickly fixed. This makes it easier to return the computer to its default settings and improves user experience.

  1. Applied Observability:

With the use of applied observability, problems in contemporary distributed systems may be found and fixed more quickly and automatically. By obtaining, comparing, and analyzing a continuous stream of data, applied observability enables you to keep an eye on the internal status of a complex system and identify problems early enough to address them.

Utilize observability to inspect and diagnose applications. The telemetry data that Observability collects includes logs, metrics, traces, and dependencies. In order to give resources comprehensive and contextual knowledge about the events they must address, it then correlates them in real-time. Even better, you could employ AIOps, ML, and automation tools to address problems automatically.

  1. AI TriSM:

AI TriSM is another name for AI Trust Risk & Security Management. It ensures that AI technology carries out its intended tasks in a way that is reliable, efficient, just, and safe. Protecting shared data, managing governance, defending privacy, and spotting anomalies all aid in maintaining your organization’s vital functions.

The AI model should be trusted to exist, interact, and perform as planned. Any divergence might have serious consequences, particularly in organisations that control a big number of employees, oversee numerous processes, manage continuous transactions, and have a diverse distribution of data. AI TriSM includes strategies and techniques for controlling risks, raising alarms, and taking action.

  1. Industry cloud platforms:

Businesses may increase their workload management agility by using industry cloud platforms. They can hasten adjustments to company operations, data analysis, and compliance protocols. To optimize flexibility, quicken time to value, and meet the demands of vertical industry sectors, they blend platforms, software, and infrastructure as a service.

About 40% of respondents, according to Gartner, have already begun utilizing industrial cloud platforms. Over 50% of organizations’ crucial business endeavors will be accelerated by using this by 2027. Business-specific features and an integrated data fabric are used by industry cloud platforms to swiftly adjust applications to market upheavals.

  1. Platform Engineering:

Platform engineering fosters greater communication between operators and software developers while enhancing the developer experience, boosting productivity, and speeding up the delivery of apps through automation and self-service capabilities. It aims to modernise the supply of enterprise software using reusable tools and capabilities.

To deploy the application as soon as feasible, a frictionless development cycle with minimal overhead, self-service capabilities, less cognitive load, improved consistency, higher productivity, and seamless cooperation are required. Platform engineering aims to redesign and develop a platform in line with the needs of its end users, using standardised components and automated processes.

  1. Wireless-value realization:

In addition to enhancing connection, next-generation wireless will also aid in process optimization for greater dependability, reduced costs, lower risks, and more productivity. The integration of several wireless technologies onto a common infrastructure and utilization of capabilities will make the transition to digital transformation easier.

Future wireless will require less capital if its technical foundation is more affordable, unified, secure, dependable, and scalable. The current Internet of Things (IoT) trend will be able to use the new wireless technology more effectively to gather data from the environment. Applications in position monitoring, energy harvesting, radar sensing, satellite technology, and other fields are to be expected.

  1. Superapps:

An all-in-one app with several uses that may take the place of the many applications in your personal or professional environment. Over 50% of the world’s population will utilise super applications on a regular basis, predicts Gartner. These Superapps could even include mini-apps that serve as add-ons and offer advantages over and beyond the built-in features.

This all-encompassing platform will take care of various issues and serve as a single user experience for various use cases. These applications can be more beneficial than alternatives that serve a single goal for people from all backgrounds. WeChat is a Superapp that encompasses chat, eCommerce, payments, social networking, and more, making it a need for many everyday people.

  1. Metaverse and Web3:

The metaverse and Web 3.0 are all ready to provide interactions and everyday experiences a completely new dimension. A connected, safe, and immersive virtual world where avatars will start to dramatically affect our personal and professional life will be created through the convergence of AR, AI, VR, ML, IoT, and Blockchain. Metaverse creates a “Second world” and offers more chances for businesses to interact with customers.

Both business and community development are expected to grow. These digital settings will become more customised and significant as a result of the information that the metaverse will relay about our offline interactions and conduct. Businesses will use the metaverse to strengthen customer bonds, enhance brand identification, expand marketing, and boost revenue.

  1. Quantum Computing:

Another cutting-edge technology that will advance industry value chains and corporate operations is quantum computing. The value of quantum computing might reach $700 billion as early as 2035, according to McKinsey. Technologies might advance more quickly thanks to quantum computing, and medicinal development could move more quickly along.

The operation of quantum computing relies on the quantum state of subatomic particles, where each particle serves as a quantum bit of information (qubits). Qubits may communicate with one another through entanglements. Additionally, it may contain many values at once (Superposition). When compared to traditional processing, quantum computing is more quicker and uses a lot less memory.

  1. Trust with Blockchain:

In 2023, blockchain will become more popular as a method for establishing trust. The foundational elements of Blockchain—encryption, privacy, community control, immutability, traceability, and decentralization—ensure its reliability. The capacity to validate improves security, cuts cost, quickens processing, and inspires trust. Blockchain removes middlemen and establishes a solitary, safe road to the destination.

The blockchain serves as a distributed ledger system for storing, distributing, and recording data. Making tampering impossible, it provides transparent access and instantly creates links between the data in the chain. From Smart Contracts to Supply Chains, blockchain can build frictionless operations; as a result, expect to see enormous value everywhere.

  1. Sustainable Technology:

What if technology made it possible to measure indicators that would help reduce carbon footprint, support environmental legislation, and keep an eye on social governance? Expect to see increasingly significant and creative digital solutions to track and direct an organization’s environmental goals as 2023 draws closer. They may become more nature-centric and achieve Environmental, Social, and Governance (ESG) results with the aid of these cutting-edge technologies.

Cost-saving, energy-performance, and asset-use improvements are all made possible by sustainable technology. Technology can help businesses who want to go green achieve their goals. Through the use of AI, the cloud, IoT-enabled environmental sensors, analytics, and other technologies, they will be able to manage waste and energy resources while reducing direct emissions, reducing waste, minimising indirect emissions, and doing much more.

  1. Wi-Fi 6 and 7:

The 2.4 GHz and 5 GHz frequency bands are supported by 802.11ax 9.6 Gbps Wi-Fi 6, which also supports up to 160 MHz of channel bandwidth and the WPA3 security standard. While supporting the 2.4 GHz, 5 GHz, and 6 GHz frequency bands is 802.11E 30 Gbps Wi-Fi 7. It uses the WPA3 security standard and can provide channel bandwidth up to 320 MHz.

With faster speeds, more security, a better transmission rate, reduced latency, and better traffic prioritisation, Wi-Fi 6 and Wi-Fi 7 both guarantee a major improvement in wireless networks. Expect the two to work together seamlessly through the use of intensely graphic games, virtual reality (VR), the expanding metaverse, 4K and 8K video streaming, the Internet of Things (IoT), and even remote office access.

  1. Drone Technology:

In 2023, drone technology is ready to take off. Given the degree of disruption already present in the supply chain, any uncertainty hurts logistics and slows down delivery. This results in unfilled orders and damaged company relationships. What if companies could use unmanned aerial drones to carry out last-mile deliveries and enable them to access remote locations?

Additionally, expect to see increased use in the fields of construction, agriculture, security, media, and perhaps the military. Companies investing in drone technology anticipate more cost savings by decreasing fuel and duplicate labour costs, lowering risk, increasing revenue growth, and making better decisions after evaluating the data these devices collect.

  1. DevSecOps:

The SDLC no longer treats security as an afterthought. Putting off security till the very end might result in problems that may necessitate a complete rewrite, which is ineffective, expensive, and delays your time to market. DevSecOps places security at the centre of its coding standards for developers to guarantee that the code is pre-vetted with security in mind at every stage.

The Continuous Leftward Collaboration In the CI-CD pipeline, the DevSecOps methodology employs a no-touch automated strategy to quickly finish security tests through shared responsibility. Reducing the feedback loop and incorporating security into the process leads to quicker releases. The next step in project development is DevSecOps, which is something to be excited about.

  1. Scrumban Methodology:

A project management approach called Scrumban combines Scrum and Kanban. In this framework, the predictability, agility, and structure of Scrum are combined with the adaptability and visibility of Kanban. Along with assisting the team in performing their strategic jobs correctly and streamlining their procedures, this contributes to the project workflow being more flexible, adaptable, efficient, and productive.

Make sure there is adequate analysis, iterate often, prioritise as needed, maintain continuous workflow, pay attention to cycle time, do away with batch processing, utilise flow diagrams, and schedule daily meetings. When teams are wanting to transition from Scrum or when you need more flexibility, Scrumban is a useful tool for managing ongoing projects.