Technological upheavals continue to disrupt the world. If these newer shifts gain momentum and intensify, expect to see more strategic and revolutionary developments in 2023. According to MediaPeanut, the tech industry has a 5-6% growth pattern yearly. Catching emerging technology waves sooner helps you leverage them in the nascent stages to gain a competitive advantage.

While it remains challenging to forecast how trends will play out, some sunrise technologies seem to be tracking well. These are gaining traction, showing early promise, and could possibly help enterprises embark on a journey of innovation and growth. Here are our picks of the emerging technologies of 2025, alongside a quick encapsulation of the potential they hold. Let’s get to unraveling them.

Which 2022 Technology Worked Out the Most

Before getting into the trends of 2023, let’s look at the technologies that did well in 2022. The cryptocurrency witnessed “Crypto winter” and the hype around 3d-printers has come down a lot, but some technologies fared well and these are:

Metaverse:

More brands considered having a presence and creating better experiences in meta.

Remote Technologies:

Remote tools provided Enterprises with improved productivity, connectivity, and collaboration

Hyper-automation:

Businesses doubled down on their automation to free their resources from error-ridden, laborious, slow, and wasteful processes.

Data and Analytics:

Organizations continue to leverage big data, granular analytics, and visual reporting to unlock insights and make more informed-actionable decisions.

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

AI and ML cemented themselves further and continued to support almost all areas of a business.

Top 18 Emerging Technologies in 2023

1. ChatGPT and Generative AI

Generative AI and OpenAI’s GPT-3 (Generative Pretrained Transformer 3) are among the important emerging technologies in the field of AI.
Generative AI refers to a subset of AI that focuses on creating new content, rather than just analyzing and recognizing existing data. This includes techniques like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and language models like GPT-3.

GPT-3, specifically, is one of the largest and most advanced language models developed by OpenAI. It can generate human-like text, translate languages, summarize text, answer questions, and perform a variety of other language tasks. Its advanced capabilities have generated a lot of excitement and interest in the AI community and specially business owners are using benefits of Oprn AI ChatGPT.

Microsoft: Microsoft has integrated OpenAI’s GPT-3 technology into its Azure cloud platform, allowing developers to build AI-powered applications using the advanced language generation capabilities of GPT-3.

Google: Google has been investing in AI and language processing technology for many years, and has confirmed to be releasing BARD soon, The capabilities of BARD are yet to be determined, but it appears to have the same level of versatility as OpenAI’s ChatGPT. We predict that users can ask BARD practical and real-life questions, such as planning a baby shower or creating a lunch menu from a list of ingredients.

Baidu: As a leading Chinese technology company, Baidu has been investing heavily in AI and language processing technology. The advanced capabilities of GPT-3 can potentially help Baidu improve its language-related services, such as search engines, voice recognition, and natural language processing. This can help Baidu stay ahead of its competitors in the Chinese market and continue to grow its business.

2. Digital Immune System:

The Digital Immune System combines various practices and technologies to make critical applications more resilient to bugs. Thereby making it easier for them to recover, sustain their services, manage risks, and maintain business continuity. According to Gartner, businesses that invest in digital immunity will increase customer satisfaction by decreasing downtime by 80%.

The fundamental concepts of digital immunity include Observability, AI-augmented testing, Chaos engineering, auto-remediation, Site Reliability Engineering (SRE), and Software supply chain security. These combine to ensure systems don’t crash, provide uninterrupted services, and issues get corrected fast. This helps to return the system to its default state for a superior UX.

3. Applied Observability:

Applied Observability is the ability to penetrate deep into modern distributed systems for faster and automated problem detection and resolution. Through applied observability, you monitor the internal state of a complex system by gathering, comparing, and examining a steady stream of data and catching issues to remedy them at the earliest.

Leverage observability to screen and troubleshoot applications. Observability gathers telemetry data such as logs, metrics, traces, & dependencies. Then, it correlates them in real-time to provide resources with complete and contextual information about the events they need to address. You could even use AIOps, ML, and automation capabilities to resolve issues without manual intervention.

4. AI TriSM:

AI TriSM stands for AI Trust Risk & Security Management. It ensures that AI technology does what it is intended to do in a trustworthy, fair, reliable, effective, and secure manner. Additionally, it helps to protect the exchanged data, manage governance, safeguard privacy, and detect anomalies to protect the critical functions of your enterprise.

The AI model should be trusted to exist, interact, and perform as designed. Any deviation could have drastic consequences – especially in Enterprises running multiple processes, managing numerous users, handling steady transactions, and having a heterogeneous data spread. AI TriSM consists of solutions and techniques to manage risks, send alerts, and act.

5. Industry cloud platforms:

Using Industry cloud platforms, companies can create more agility in how they manage their workloads. They can also accelerate changes in business processes, data interrogation, and compliance procedures. They combine platform, software, and Infrastructure as a service to fine-tune adaptability, accelerate time to value, and capture the needs of vertical industry segments.

According to Gartner, approximately 40% of respondents have already started embracing industry cloud platforms. By 2027, enterprises will use this to accelerate more than 50% of their critical business initiatives. Industry cloud platforms use business-specific capabilities and integrated data fabric to quickly adapt applications to market disruptions.

6. Platform Engineering:

Platform engineering improves the developer experience and increases productivity through automation and self-service capabilities to speed up the delivery of apps and facilitate better collaboration between operators and software developers. It intends to modernize enterprise software delivery through reusable tools and capabilities.

Getting the software out at the earliest requires a frictionless development cycle with minimal overhead, self-service features, reduced cognitive load, more consistency, higher efficiency, and seamless collaboration. Ideally, platform engineering looks to rework and build a platform in sync with the needs of its end users using standardized components and automated processes.

7. Wireless-value realization:

The next-gen wireless will not only improve connectivity but also help optimize processes for higher reliability, lower costs, fewer risks, and increased productivity. Different wireless technologies will work cohesively on a single infrastructure and utilize capabilities to facilitate the shift toward digital transformation more seamlessly.

A more cost-efficient, unified, secure, reliable, and scalable technical core of the future wireless will help to reduce capital investment. The ongoing Internet of Things (IoT) wave will be able to better leverage the new wireless to pull data from the environment. Expect to witness applications in location tracking, energy harvesting, radar sensing, satellite tech, and other areas.

Interested Read: Top 15 Emerging Databases to Use in 2023 and Beyond

8. Superapps:

An all-in-one and versatile application that can replace the numerous apps in your personal life or business ecosystem. According to Gartner, more than 50% of the global population will be daily active users of superapps. These Superapps could even have mini-apps that will act as add-ons and provide benefits above and beyond the existing capabilities.

This all-encompassing platform will address multiple aspects, acting as a unified interface that caters to several use cases. Compared to single-purpose alternatives, these apps can provide value to all walks of life. WeChat is a Superapp made up of messaging, eCommerce, payments, social media, and more within its umbrella, making it indispensable for many civilians.

9. Metaverse and Web3:

Metaverse and Web 3.0 are all set to provide an entirely different dimension to interactions and everyday experiences. AR, AI, VR, ML, IoT, and Blockchain will come together to create a connected, secure, and immersive virtual world where avatars will begin to significantly impact our personal and commercial lives. Metaverse opens a “Second world” and provides more business opportunities to connect with consumers.

Commerce and community building are all set to flourish. Metaverse will couple with our offline behavior and interactions and transmit information to make these digital environments more personalized and impactful. Businesses will leverage metaverse to nurture relationships, elevate brand identity, extend marketing, and increase sales.

10. Quantum Computing:

Quantum computing is another emerging technology that will catapult business operations and industry value chains to another level. According to McKinsey, Quantum computing has the potential to capture nearly $700 billion in value as early as 2035. Quantum computing could accelerate technologies, fast-track drug research, and crack encryption more effortlessly.

Quantum computing operates on the quantum state of subatomic particles, where each particle represents information as quantum bits (qubits). Qubits, through entanglements, can interact with other qubits. Furthermore, it can hold multiple values simultaneously (Superposition). Quantum computing is way faster than classical computation, only needing a fraction of the memory to perform tasks.

11. Trust with Blockchain:

Blockchain as a trust-building technology will gain traction in 2023. Encryption, privacy, community control, immutability, traceability, and decentralization are pillars of Blockchain that ensure it stays trustworthy. The ability to validate – increases security, lowers costs, elevates speed, and builds confidence. Blockchain eliminates intermediaries and creates a single secure path toward the end goal.

Blockchain acts as a distributed-ledger system for recording, managing, and transmitting the information. It enables transparent access and establishes relationships between the data in the chain quickly – making tampering impossible. Blockchain can implement frictionless processes in multiple environments, from Smart Contracts to Supply Chains; expect to see immense value across the board.

12. Sustainable Technology:

What if technology could provide a means to track metrics to minimize carbon footprint, support environmental laws, and monitor social governance? As we near 2023, expect to see more innovative and impactful digital solutions to monitor and steer an organization’s eco-friendly objectives. These cutting-edge solutions will help them be more nature-centric and meet Environmental, Social, and Governance (ESG) outcomes.
Sustainable technology will also help optimize costs, improve energy performance, and improve your asset utilization. Technology will catalyze the objectives of companies looking to go greener. They will be able to control direct emissions, reduce waste, minimize indirect emissions, and more through AI, Cloud, IoT-enabled environmental sensors, analytics, etc., to control energy resources and waste management.

13. Wi-Fi 6 and 7:

802.11ax 9.6 Gbps Wi-Fi 6 supports 2.4 GHz and 5 GHz frequency bands, runs on a WPA3 security protocol, and supports up to 160 MHz Channel Bandwidth. Meanwhile, 802.11E 30 Gbps Wi-Fi 7 supports 2.4 GHz, 5 GHz, and 6 GHz frequency bands. It supports up to 320 MHz Channel Bandwidth and relies on a WPA3 security protocol.

Both Wi-Fi 6 and Wi-Fi 7 promise a significant leap in wireless networks with faster speeds, added security, better transmission rate, lower latency, and better traffic prioritization. Expect intensive graphic gaming, VR, the growing metaverse, 4K and 8K video streaming, the Internet of Things (IoT), and even remote office connectivity to leverage the two to provide a frictionless experience.

14. Drone Technology:

Drone Technology is positioned for takeoff in 2023. The supply chain is already pretty disrupted, and any unpredictability affects logistics and delays deliveries. This leads to unfulfilled orders and ruined business ties. What if businesses could shift last-mile deliveries to unmanned aerial drones and let them reach hard-to-reach places?

Furthermore, expect to see more usage in construction, agriculture, security, media, and military applications as well. Companies pursuing drone technology expect better cost savings by slashing redundant labor costs and fuel expenses, reducing risk, higher revenue growth, and better decision-making from analyzing data collected by these instruments.

15. DevSecOps:

Security is no longer an afterthought in SDLC. Leaving security till the penultimate stages can throw up errors, which may require a complete rewrite, proving inefficient, costly, and delaying your time to market. In DevSecOps, coding standards for developers come with security at the core to ensure the code comes out pre-vetted with security in mind at every phase.

The Shift-left and Continuous Collaboration DevSecOps methodology uses a no-touch automation approach in the CI-CD pipeline to complete security tests through shared responsibility right from the get-go. Making security an integral part of the process reduces the feedback loop and results in faster releases. DevSecOps is the next thing to look forward to when it comes to project development.

16. Scrumban Methodology:

Scrumban is a project management methodology that combines Scrum and Kanban. The framework combines the predictable routines, agility, and structure of Scrum with the flexibility and visualization of Kanban. This helps to make the project workflow more agile, versatile, efficient, and productive, besides helping the team get their strategic tasks right and improve their processes.

Ensure enough analysis is in place, iterate at regular intervals, prioritize on demand, maintain continuous workflow, focus on cycle time, eliminate batch-processing, use flow diagrams, and set up daily meetings. Scrumban is a valuable solution for maintaining ongoing projects, also when teams are looking to migrate from Scrum or when you are looking for more flexibility.

17. Human Augmentation:

Human augmentation refers to the use of technology to enhance or augment human capabilities, both physically and cognitively. It involves integrating technology into the human body or enhancing human abilities through external devices. The goal of human augmentation is to improve human performance, extend capabilities, and address limitations in various aspects of life.

The ethical implications of human augmentation are significant and should be carefully considered. Key concerns include ensuring equitable access to augmentation technologies, addressing potential risks and unintended consequences, safeguarding privacy and data security, and ensuring that the technology respects human autonomy and dignity.

18. No Code & Low Code Services:

Low-code and no-code services are platforms or tools that allow individuals with little to no coding experience to create software applications or automate business processes. These services provide a visual interface and pre-built components or modules that can be easily assembled and configured, eliminating the need for extensive coding knowledge.

Low-code platforms offer a visual development environment where users can drag and drop components, define workflows, and configure application logic using a graphical user interface. No-code platforms take the concept a step further by providing a highly intuitive interface that enables users to create applications or automate processes without writing any code at all.

Despite their advantages, low-code and no-code services may have limitations. They may be less suitable for complex or highly customized applications that require extensive coding or advanced technical capabilities. Security, scalability, and performance considerations should also be evaluated when using these platforms.

Wrapping Up

Technological pursuits have never stayed dormant; you are never too far from the next ground-breaking phenomenon. What’s bleeding edge now may soon be primitive. To transform into a true industry leader, companies need to invest in the radical changes on the horizon. Shunning or delaying this could see your business decay and possibly even sink.

Embracing newer technologies is never easy. Besides the monetary investment, you need a business case, a granular roadmap, a change management plan, expected value realizations, and other measures. Unfortunately, going about this can get convoluted. The visionary and seasoned experts at ISHIR have your back. Reach out to us, and we’ll integrate the next-big tech for your business.