Technology trends for 2024 according to Gartner
Technology trends for 2024 according to Gartner

Technology trends for 2024 according to Gartner

Discover the forward-looking technology trends of 2024 in our latest analysis. Find out how AI, sustainable technology and platform-driven development will revolutionize the business world.

Imagine a world where artificial intelligence (AI) is not just a tool, but a trusted partner. A world where technology and sustainability go hand in hand and innovative cloud platforms revolutionize specific industry needs. This is not a distant dream of the future, but the reality of tomorrow.


According to a recent Gartner study on the strategic technology trends for 2024, we took a closer look at this study.


The Gartner 2024 study identifies ten strategic technology trends that will be of great importance to companies in the future.


Below, these key trends are explained in detail to provide a better understanding of how they are shaping the landscape of the business world and what opportunities they offer for forward-thinking companies:


AI Trust, Risk and Security Management (AI TRiSM): This focuses on creating a safe and ethical framework for AI applications. Companies in sectors such as finance, healthcare and retail can benefit from robust AI policies that not only strengthen security, but also customer and user trust. A possible example scenario: A healthcare company implements AI to analyze patient data for treatment recommendations under strict data security and ethics guidelines.


Continuous threat management (CTEM): CTEM strategies are critical to responding to ever-changing cyber threats. By using advanced analytics technologies, companies can detect threats early and take countermeasures. Example: A bank uses AI systems for real-time detection and prevention of suspicious transactions to reduce fraud.


Sustainable technology: This trend is particularly relevant for industries with high energy consumption. By using energy-efficient technologies and promoting green initiatives, companies can reduce their carbon footprint and realize cost savings at the same time. For example, a manufacturing company could reduce its carbon footprint and energy costs through energy-efficient machines and optimized production processes.


Platform-driven development: The flexibility and scalability of cloud-based platforms enables companies to react faster to market changes and make their software development more efficient.


AI-supported development: By integrating AI into software development, companies can reduce development time and improve the quality of the software. This approach is particularly suitable for complex projects where speed and precision are crucial. AI-supported and automated code review processes would lend themselves to this.


Industry-specific cloud platforms: These enable companies to address specific requirements of their industry more effectively. For example, logistics companies can optimize their fleet management and route planning by using a specialized cloud platform.


Intelligent applications: These applications, powered by AI and machine learning, are transforming the way businesses interact and make decisions. They provide personalized customer experiences and can analyze complex data to deliver accurate predictions and recommendations.


Democratized generative AI: This development paves the way for wider use and accessibility of AI technologies. It also enables non-experts to use AI tools for creativity and innovation, opening up new opportunities in various industries. Open AI shows where the journey can go with Chat-GPT.


Technology-enabled connected workforces: In times of remote working and global teams, the importance of technology to support collaboration and productivity is ever-increasing. These tools enable efficient and effective communication across geographical and temporal boundaries.


Machine customers: The idea of machines as customers opens up completely new perspectives in the field of automated purchasing and interaction. Companies must be prepared to understand and serve not only human but also machine customer needs. One scenario: a car manufacturer’s vehicles independently book maintenance appointments and order the necessary spare parts.


As an IT consulting company, we are observing precisely these trends from the Gartner study in our projects and offer specialized support. We recognize the growing importance of AI-based solutions, sustainable technology and platform-driven development approaches. Our expertise enables us to support companies in the implementation of these advanced technologies.



We help you to benefit from the opportunities of digital transformation by offering customized solutions tailored to your specific needs and the latest industry trends.

Contact us for a personal consultation.

Holger Schlaps, Research and Development
Holger Schlaps
Research and Development