Gartner Lists 12 Disruptive Tech Trends for Future Business

Gartner has identified 12 disruptive technology trends that are poised to transform future business systems. These innovations span areas like artificial intelligence, automation, augmented reality, digital platforms, and composable technologies. Designed to enhance agility, scalability, and efficiency, these trends offer organizations new ways to innovate and stay competitive in a rapidly evolving digital landscape. By embracing these advancements, businesses can future-proof their operations and drive long-term growth in an increasingly tech-driven world.

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Artificial intelligence is set to revolutionize user interfaces, spending is projected to rise to combat digital misinformation, and data from Earth observation satellites will play a transformative role in future technologies, according to a recent report from global tech research firm Gartner.

These three innovations are part of a larger group of 12 technologies that Gartner believes will shape the evolution of business systems. The firm urges technology executives to focus on these developments over the next five years, as they offer near-term advantages and are likely to become industry standards.

Gartner’s Vice President Analyst, Bill Ray, emphasized the need for immediate action to gain early-mover benefits from these emerging technologies. He highlighted that next-gen solutions like AI-driven code creation, security against misinformation, and satellite-based intelligence will distinguish companies in how they manage data and develop products.

Rethinking User Interfaces Through AI
Gartner stated that generative AI using flexible text and multimedia inputs and outputs will soon replace the traditional, structured, form-based interfaces in many enterprise software tools. This change will allow new types of user experiences.

Sandi Besen, an AI researcher with IBM and consulting firm Neudesic, said that modern language models let systems interact with users naturally - whether through voice, text, or visuals - reducing the need for conventional user interfaces.

Rob Enderle, an analyst with the Enderle Group, noted that communicating with a system using everyday language makes separate user interfaces largely unnecessary.

He explained that AI effectively becomes the new interface, similar to how you don’t need a visual platform like Windows to have a conversation - you just talk.

Still, Besen cautioned that tasks like validating inputs can be tricky without a UI. She mentioned the rise of adaptive, or "dynamic," user interfaces that shift according to what information a user must provide, rather than sticking to fixed steps.

Ray Valdes, another Vice President Analyst at Gartner, said software vendors will need to overhaul their products to support flexible, generative AI tools that respond to text and multi-format prompts.

Because of these advancements, Gartner forecasts that by 2029, over half of enterprise process interactions will rely on large language models, bypassing traditional UI structures. Currently, this is true for fewer than 5% of such interactions.

Focusing on Misinformation Defense
Gartner also expects that by the end of the decade, at least 50% of businesses will adopt solutions to combat digital misinformation, a significant jump from under 5% adoption in 2024.

Disinformation security is an emerging area of protection that deals with external threats—those beyond a company’s internal systems. It includes tech tools like fake content detection, identity spoofing prevention, and brand reputation safeguards that help companies verify truth and maintain trust online.

Patrick Tiquet, VP of Security and Architecture at Keeper Security, explained that cybercriminals are using AI to mimic company leaders, distort communication, and shake public confidence in digital media.

He emphasized that defending infrastructure alone isn't sufficient anymore - companies also need to verify the authenticity of digital interactions to protect both people and platforms.

Besen added that specialized language models, known as domain-specific LLMs, are trained on highly focused topics rather than broad datasets like those used in GPT-4o.

These focused models are especially useful for deep, knowledge-specific tasks in fields like medicine or chemistry. For instance, a domain-trained model in healthcare could explain symptoms or diagnoses clearly, but it wouldn’t be useful for helping someone organize a trip.

New Threat Models in Security
According to Gartner, major disruptors in cybersecurity include ethical concerns, combating digital misinformation, and adopting predictive defenses. Among these, preemptive cybersecurity stands out for its shift from reactive methods to a proactive approach.

Tiquet explained that as cyberattacks increasingly use AI and automation, waiting to respond after a breach is no longer practical. Instead, predictive systems can analyze vulnerabilities and potential threats before they’re exploited.

He described this as a game-changing shift, requiring organizations to move away from outdated security tools and adopt ongoing, intelligent threat detection across every aspect of their digital footprint - from devices and identities to cloud environments.

Harpreet Singh, another expert, emphasized the urgency of this strategy, especially as today's connected world - filled with IoT devices, cloud services, and hybrid work systems - introduces more complex and varied security risks.

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