10+ New Technology Trends for 2024

10+ New Technology Trends for 2024 Table of Contents Facebook Instagram Twitter Linkedin-in Technology is rapidly evolving, and new trends emerge every year that transform businesses and our everyday lives. As we enter 2024, some key technology trends are expected to shape the future and provide new opportunities. In this blog, we will explore the top 10+ technology trends that will drive innovation and disruption in 2024 and beyond. New Transformative Technology Trends for 2024 Here is a list of emerging technologies in India *synapseindia.com 1. Artificial Intelligence (AI) AI is one of the top emerging technologies in India, making foremost advances and getting infused in all types of technologies. From voice assistants to computer vision, natural language processing, and extra, AI is making gadgets smarter. In 2024, you can expect AI to become even more superior, powering technology from self-driving vehicles to clinical prognosis equipment. Key consciousness areas may be the automation of enterprise methods through robot procedure automation (RPA), smarter chatbots, and private assistants. (Source: LinkedIn) 2. 5G Networks The rollout of 5G networks saw great momentum in 2023 with improved speeds, lower latency, and increased connection density. As per recent reports by Lightreading.com, 2024 will see expansion of 5G networks, allowing next-gen mobile experiences, especially for technologies like VR/AR, connected vehicles, automation, and advanced video analytics. This will unleash new applications and business models across sectors following future technology trends. However, more investment is still needed in 5G infrastructure and edge computing capabilities to fully realize the potential of 5G. 3. Edge Computing Edge computing brings data processing closer to the location where it’s needed, saving time and bandwidth. By 2024, more companies will leverage edge computing to enable real-time data analysis for technologies like self-driving cars, industrial sensors, and IoT devices (Source: Linkedin). This is critical for latency-sensitive applications. However, edge computing deployments present security and management challenges that companies will need to address. 4. Cybersecurity Mesh As more devices connect to the internet, cyber threats grow exponentially. Cybersecurity mesh allows distributed enterprise assets to be managed centrally using AI/ML. As per ET Edge, in 2024, people can expect wider adoption across industries like telecom, retail, and healthcare to enable real-time threat prevention. However, costs and complexity of implementation remain barriers, especially for smaller organizations with limited security budgets and expertise. More cloud-based cybersecurity mesh solutions could help address this in the future. 5. Blockchain Blockchain establishes trust between parties without third-party verification. In 2024, blockchain has the potential to transform payments through cryptocurrencies as well as enhance transparency in supply chains, contracts, and certificates. Countries are also exploring central bank digital currencies (CBDCs) built on blockchain technology. However, mainstream blockchain adoption still faces regulatory uncertainty, concerns around energy consumption, and issues scaling to transaction volumes required for large-scale finance and banking applications. Gradual progress is expected rather than overnight transformation. 6. Immersive Experiences As per LinkedIn, technologies like augmented reality (AR), virtual reality (VR), and mixed reality will become more advanced and affordable. Creating highly immersive simulated environments helps visualize products better, enhances remote collaboration, and aids training/recruitment. However, concerns persist around potential health impacts, content development costs, and user adoption at scale. More content and hardware advancements could help address these challenges in the coming years. 7. Connected Vehicles The automotive sector will get disrupted by connected vehicles - which share data with their environment in real time. With high-speed 5G connectivity, vehicles can communicate with each other, traffic lights, maps, and other IoT ecosystem partners autonomously. This paves the way for innovations in safety, traffic management, in-car services, and more. However, automakers face obstacles around infrastructure readiness, technology standardization, and public acceptance that need resolution. 8. Digital Twins A digital twin mirrors the real-time status of a physical system in virtual space by assimilating data from multiple sources continuously. Using AI/ML simulation and analysis on the digital twin gives insights to improve decision-making. Digital twins will become vital for transportation, healthcare, smart cities, and manufacturing in 2024, as per LinkedIn. However, more intuitive software solutions and cost efficiencies are imperative for broader enterprise adoption of this promising but complex technology. *cocop-spire.eu 9. Robotics Advances in AI, computer vision, sensors, and machine learning are enabling robots to handle more complex tasks with precision across sectors. Robots will see high demand for applications such as last-mile delivery, surgery assistance, warehouse automation, elderly care, etc. (Source:Sciencedirect.com). However, concerns persist around regulation, security vulnerabilities, job losses due to automation, and return on investment because of these emerging technologies in India. 10. Quantum Computing Breakthroughs Quantum computing leverages quantum mechanical phenomena like entanglement and superposition to solve complex problems that classical computers struggle with. Industries across materials, chemicals, healthcare, and finance are already witnessing the potential and benefits of modern technology of quantum computing for enhanced decision-making. 11. Human Augmentation Human augmentation technology aims to provide augmented cognitive and physical capabilities to human beings through technological integration with the brain and body. Areas such as augmented reality, brain-computer interfaces, powered exoskeletons, nanorobotics, and genetic engineering hold huge potential for transforming human abilities. Conclusion The technology landscape in 2024 will see these trends reach more advanced capabilities and broader adoption across industries. These innovations will bring new efficiencies, capabilities, and experiences impacting both businesses and people's daily lives. Exciting times are ahead as technology exceeds human imagination!Besides these technology trends, you can utilize a comprehensive course to future-proof your tech career with an Online Master of Computer Applications - offered by Chandigarh University is among the finest options. Learn in-demand skills in artificial intelligence, machine learning, data science, and blockchain, and learn more about the benefits of modern technology from industry experts. To enroll, contact Jaro Education. Frequently Asked Questions Why is artificial intelligence in cybersecurity important? Cybercriminals are continuously improving their attacking abilities with the help of AI. Now they are launching large-scale attacks by integrating AI technologies into their workflows. To prevent these attacks, you should utilise AI to analyse large volumes of data, reducing false positives from security alerts and cutting out bottlenecks from security alerts. What are the major benefits of AI cybersecurity? The major benefits of AI-based cybersecurity include – Quickly analysing large volumes of data Automating the repetitive cybersecurity tasks Predicting potential attacks and providing messages to the security teams Mention some important skills required for a professional in AI cybersecurity. To become a professional in AI cybersecurity, you need knowledge about ML data modelling, language modelling, behaviour analysis, and deep neural networks. For cybersecurity, you need a clear understanding of network security, cryptography, malware detection, data protection, and computer forensics. Can AI replace human input in cybersecurity? No, AI can perform specific tasks in cybersecurity, but it can’t completely replace human input. Can we automate cybersecurity workflows? Yes, the cybersecurity professionals can automate the mundane tasks with the help of AI. 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