As we are stepping into the exciting realm of 2024, the world of technology continues to evolve at an unprecedented pace, revolutionizing industries and transforming the way we live and work. With the increased use of various existing technologies and the introduction of new ones in the game, the next year promises to be a game changer, introducing us to many cutting-edge innovations and versatility. For instance, the growth of AI has led to Generative AI, AI Trism, AI-augmented development, etc.
The coming year will trailblaze various technology trends that will shape our 2024, and take your business to new heights. You just have to learn the ways these revolutionary technology trends can enhance your business’s productivity.
In this blog post, we will explore the top technology trends that are set to dominate the landscape in 2024, propelling us into a future fueled by innovation and digital transformation.
New Technology Trends in 2025: Revolutionizing Digital Transformation
Let’s step forward to the top technology trends in 2024 that will disrupt the future in an extraordinary way.
- Generative AI
Well, we know how AI has revolutionized various industries, now is the time to open the doors of the expedition for Generative AI.
Generative AI is an upcoming technology trend for 2024 that helps users produce creative content, such as images, videos, text, audio, and other synthetic data. According to Statista, the market for this effective technology is projected to reach USD 207.89 billion in 2030.
With the help of Generative AI, users can improve their research processes, cyber security, and business intelligence, ensure advancements of AIOPs and conversations, personalize customer experience, automate content creation, and increase operational efficiency. The top applications of Generative AI are ChatGPT, GitHub Copilot, VEED, and more.
- AI-augmented Development
AI-augmented development is expected to be the most innovative technology trend of 2024. With the use of this technology, companies can enable AI in their development tools, technologies, and platforms. It can help developers produce apps that are more dependable, fast, and efficient than the ones developed with hand-written ‘manual’ codes.
According to a report by Allied Market Research, the CAGR of AI-augmented development is expected to increase by 26.4% from 2021 to 2030. Seeing the growth in AI-augmented development in upcoming years, users can leverage this technology to improve productivity, optimize codes, and achieve scalability, enhanced decision-making, collaborative development, and more.
- AI-TRiSM
AI TRiSM, which stands for Artificial Intelligence for Task Recognition and Skill Modeling, is a revolutionary technology trend that combines artificial intelligence and machine learning to recognize and model human tasks and skills. By analyzing human behavior and interactions, AI TRiSM aims to understand complex tasks and the underlying skills required to perform them.
This technology has the potential to revolutionize industries such as manufacturing, healthcare, and robotics by enabling machines to learn and adapt to human tasks more effectively. With AI TRiSM, machines can become autonomous, more efficient, and capable of collaborating seamlessly with humans, ushering in a new era of intelligent automation and human-machine alliance.
- Sustainable Technology for Mobile Apps
Sustainable technology in mobile app development refers to the incorporation of environmentally friendly and socially responsible practices throughout the app development lifecycle. This includes the design, coding, deployment, and maintenance phases.
Some ways to integrate sustainability into mobile app development are energy efficiency, server optimization, data efficiency, green hosting, user education, material design principles, remote collaboration, and more. By incorporating these sustainable practices into mobile app development, developers can contribute to environmental conservation and social responsibility while creating innovative and efficient applications.
- Cloud Platforms
A cloud platform acts as a data center for the user, using which they can access authorized data from their location. The use of cloud platforms such as SaaS, AaaS, PaaS, and others, will increase in the upcoming years in various ways including finOps, devSecOps, low-code and no-code cloud services, cloud orchestration, and more.
According to Grand View Research, the CAGR of the cloud computing market is expected to grow by 14.1% from 2023 to 2030. Cloud platforms can be helpful for anywhere accessibility, centralized data security, high performance & availability, instant business insight, virtualized computing, and more.
- Metaverse-fueled Experience
The metaverse-fueled experience refers to an immersive virtual reality environment where users can interact with other users in a computer-generated world in real-time. It combines elements of augmented reality, virtual reality, and the internet to create a shared digital space.
In the metaverse, users can engage in various activities, such as socializing, working, gaming, and shopping. It provides countless opportunities for discovery, teamwork, and innovation. As technology advances, the concept of the metaverse is gaining traction, with companies investing in its development to revolutionize how we connect, communicate, and experience digital content.
- Apps for Foldable Devices
With the advent of foldable devices like smartphones and tablets with flexible screens, there is a growing need for apps that can adapt to different screen sizes and form factors. Designing such an app that can fit different screen sizes can be a game-changing technology trend for upcoming years.
Apps for foldable devices utilize innovative design and coding techniques to provide seamless user experiences across different modes, such as folded, unfolded, and partially folded configurations. These foldable apps can be easily adjusted to the phone size when unfolded and adjust their layouts and functionalities accordingly.
By optimizing apps for foldable devices, users can enjoy enhanced multitasking, improved productivity, and immersive content consumption on these cutting-edge devices.
- 5G Advanced
We have witnessed the advent of 5G technology in the last few years. As we can see 5G technology has reached a number of people, and it is a good time to update it now. 5G advanced is the next emerging technology trend that will embark on in upcoming years.
5G advanced operates on higher frequency bands, allowing for greater data transmission rates and improved network performance. With its increased bandwidth and reduced latency, 5G technology will become a more revolutionary technology trend that has the potential to accelerate various industries.
- Predictive Analysis
The predictive analysis involves using historical data, statistical algorithms, and machine learning techniques to make predictions about future events or outcomes. It leverages patterns, trends, and correlations in the data to generate insights and forecast potential scenarios. The predictive analysis finds applications in various fields, such as sales forecasting, risk assessment, demand prediction, fraud detection, and personalized recommendations.
By analyzing large amounts of data and identifying hidden patterns, organizations can make informed decisions, optimize processes, mitigate risks, and gain a competitive edge in their respective industries.
- Extended Reality (XR)
XR, an abbreviation for extended reality, comprising virtual reality (VR), augmented reality (AR), and mixed reality (MR), will redefine the way we interact with digital content. The year 2024 will witness XR’s mainstream adoption across sectors like gaming, entertainment, education, healthcare, travel, and real estate.
With the help of extended reality (XR), users can now interact with products and services in a more engaging and immersive way. Although it was formerly thought of as a sci-fi idea, XR technology is becoming more and more common in many sectors of the economy.
Leveraging XR can be highly beneficial as it can improve customer experience, self-service support, sustainability of products, a safe training environment, better data analysis, and robotic surgery.
- Datafication
Datafication is a futuristic technology trend that helps to convert most aspects of a business into essential data. It involves various technologies, such as Artificial Intelligence, Robotics, Machine Learning, and other emerging technologies. It processes collecting, analyzing, and utilizing data from diverse sources, including sensors, devices, social media, and online interactions.
Datafication enables the conversion of real-world phenomena, such as human behavior, health, and environmental conditions, into quantifiable and analyzable data. This data is then used to derive insights, drive decision-making, and create value. Datafication has far-reaching implications across sectors, including business, eCommerce, healthcare, education, and governance, and has the potential to drive innovation and improve efficiency in numerous domains.
- Chatbots
Chatbots are computer programs designed to simulate human-like conversations with users through text or voice-based interactions. They leverage natural language processing (NLP) and artificial intelligence (AI) algorithms to understand user queries and provide relevant responses.
Chatbots find applications in customer support, virtual assistants, information retrieval, and task automation. They can handle routine inquiries, provide instant support, and assist users in completing tasks.
Advanced chatbots employ machine learning techniques to improve their understanding and responsiveness over time. By automating interactions and providing timely assistance, chatbots enhance user experiences and streamline customer service processes.
- Hyper Automation
Hyper automation refers to the integration of advanced technologies, such as artificial intelligence, machine learning, robotics process automation (RPA), and natural language processing, to automate complex business processes beyond human capabilities. It involves the automation of not only repetitive tasks but also decision-making, problem-solving, and adaptive processes.
Hyperautomation aims to maximize efficiency, reduce errors, and enhance productivity by combining human and machine capabilities. It has the potential to transform industries by automating labor-intensive processes, improving accuracy, and freeing up human resources to focus on more strategic and creative tasks.
- Digital Twin
A digital twin is a virtual representation of a physical object, system, or process. It is created by combining real-time data, sensors, and simulation models to mirror the behavior, characteristics, and performance of its physical counterpart.
Digital twins enable organizations to monitor, analyze, and optimize the performance of assets or processes in real time. They find applications in various domains, such as manufacturing, healthcare, urban planning, and maintenance.
By leveraging digital twins, organizations can gain insights, simulate scenarios, predict outcomes, and make data-driven decisions to improve efficiency, reduce costs, and enhance overall performance.
- Headless Commerce
Headless commerce refers to a decoupled architecture where the front-end presentation layer (the “head”) is separated from the back-end e-commerce functionality. It allows businesses to deliver personalized and consistent shopping experiences across multiple channels, including websites, mobile apps, digital kiosks, and voice assistants.
With headless commerce, organizations can easily integrate with various technologies and platforms, leverage APIs, and customize the user interface to meet specific requirements. It provides flexibility, scalability, and agility in delivering engaging and seamless e-commerce experiences while adapting to evolving customer expectations and technological advancements.
There are various reasons for it being a top-of-mind technology trend right now, which has the agility to remain competitive, the flexibility of customizations, and better customer experience.
- Continuous Threat Exposure Management (CTEM)
Continuous Threat Exposure Management (CTEM) is an approach to cybersecurity that focuses on continuously monitoring and managing the exposure of an organization’s assets to potential threats. It involves identifying vulnerabilities, assessing risks, and implementing proactive measures to mitigate and remediate security weaknesses.
CTEM goes beyond traditional security measures by adopting a holistic and proactive approach to threat management. It leverages real-time monitoring, threat intelligence, and automation to detect and respond to security incidents promptly. By implementing CTEM practices, organizations can enhance their security posture, protect critical assets, and minimize the impact of potential cyber threats.
Conclusion
These are some of the most pioneering technology trends that will embark on your technical journey to a new extent in 2024. These technologies will also help you to fulfill your business needs and requirements in a unique way and take your business to new heights.
One of the most efficient ways to leverage these technologies in your business is to connect with a team of skilled developers who have the ability to keep up with these technology trends. Leverage these technology trends in your business to succeed in the journey of innovations and transformation. These technology trends can help to improve a business’s productivity, give a competitive advantage, improve safety and security, and much more.