Capgemini has revealed its “TechnoVision Top 5 Tech Trends to Watch in 2025,” highlighting the technologies poised to reach a pivotal moment in the upcoming year. AI and generative AI (Gen AI) are expected to play a central role, with this anticipation supported by insights from global executives and venture capital professionals, as revealed in a worldwide survey set to be released at CES in January 2025. These advancements are also projected to significantly influence other key technologies that are expected to mature or experience breakthroughs in 2025.
“Last year, Capgemini’s Top 5 Tech Trends predicted the rise of smaller Gen AI language models and AI agents, both of which have materialized,” said Pascal Brier, Chief Innovation Officer at Capgemini and a member of the Group Executive Committee. “We also highlighted the growing importance of Post-Quantum Cryptography, which was confirmed with the release of the National Institute of Standards and Technology’s standards last summer. As anticipated, semiconductors have been a major focal point in 2024, driven by the widespread use of AI and generative AI, along with shifts in market dynamics. Looking ahead to 2025, we expect AI and Gen AI to significantly influence corporate priorities, while also affecting a range of adjacent technology areas, including robotics, supply chains, and the energy mix of the future.
Technologies to Watch in 2025:
Generative AI: From Copilots to Reasoning AI Agents
Generative AI is entering a new phase, evolving from performing isolated tasks to functioning as specialized, interconnected agents. A Capgemini Research Institute survey of 1,500 top executives worldwide, set to be published in January 2025, reveals that 32% of them see AI agents as the top technology trend in data and AI for 2025. With advancements in logical reasoning, Gen AI models are becoming more autonomous, delivering more reliable, evidence-based outputs, and taking on responsibilities like managing supply chains and predictive maintenance with minimal human supervision. These systems will be capable of dynamic decision-making in sensitive environments where accuracy is critical. The next frontier will be the rise of the superagent—an orchestrator of multiple AI systems, optimizing their interactions. In 2025, these advancements will foster new AI ecosystems across industries, driving unprecedented levels of efficiency and innovation.
Why It Matters
As AI models mature, including transformer models and other Gen AI architectures, they are achieving new levels of sophistication and accuracy, making multi-agent systems feasible for real-world, complex decision-making in dynamic and unpredictable environments. This breakthrough has the potential to transform industries that require rapid, flexible responses to unforeseen challenges, such as healthcare, law, and financial services.
Cybersecurity: New defenses, new threats
AI is transforming cybersecurity, enabling both more sophisticated Gen AI-enhanced cyberattacks and more advanced AI-driven defenses to the point where almost all organizations surveyed (97%) in the recently published Capgemini Research Institute’s report say they have encountered breaches or security issues related to the use of Gen AI in the past year. In recent years, with remote work, companies now face a larger attack surface and greater vulnerability to these threats. In fact, 44% of top execs in the upcoming Capgemini Research Institute report place the impacts of Gen AI in cyber as the top technology topic in cybersecurity for 2025. To mitigate these risks, there has been renewed investments and innovations in endpoint and network security, increased efforts to automate threat detection, especially using AI-driven threat intelligence, as well as an effort to prepare for the future by reinforcing encryption algorithms, in particular the growing interest into Post-Quantum Cryptography to protect against the next expected disruption: quantum-computing threats. This shift marks a broader transformation in how businesses approach security and build trust in their increasingly autonomous systems.
Why it matters: In 2025, generative AI-powered cyberattacks will continue to be more sophisticated and widespread, increasing risks for organizations. In parallel, as AI plays a larger role in decision-making and operational control, ensuring that humans trust these systems will become crucial. But it’s not just about being safe—it’s about feeling safe. Cybersecurity must address both technical and psychological concerns, ensuring not only protection but confidence in the systems people rely on daily.
AI-driven robotics: Blurring the lines between humans and machines
Advancements in AI technology have accelerated the development of next-generation robots, building upon innovations in mechatronics and expanding beyond traditional industrial uses. While robotics used to be dominated by hard-coded, task-specific machines, the development of Gen AI is spurring the development of new products (including humanoid robots and collaborative robots – or cobots) that can adapt to diverse scenarios and learn continuously from their environment. According to the Capgemini Research Institute’s upcoming report, 24% of top executives and 43% of Venture Capitalists see AI-driven automation and robotics as one of the top 3 tech trends in data and AI in 2025. With robots becoming more autonomous and AI taking on complex decision-making roles, the future of work may see a shift in the traditional structure of authority. The rise of AI-powered machines that mimic human behaviors challenges our understanding of leadership, responsibility, and collaboration, ultimately pushing us to reconsider the role of humans.
Why it matters: As Industry 4.0 progresses, AI-powered robots will drive efficiency, flexibility, and innovation, becoming key components of intelligent, connected systems that redefine industrial processes. By 2025, advances in natural language processing and machine vision will further enhance their capabilities, allowing robots in manufacturing, logistics, and agriculture to take on more complex roles within the modern workforce.
Nuclear: The surge of AI driving the clean tech agenda
The energy industry is in the midst of a transformative shift, with the energy transition accelerating at an unprecedented pace. This change is fueled by mounting pressure to fight climate change and supported by rapid innovations across various sectors, from renewables and biofuels to low carbon Hydrogen and beyond. Nuclear energy stands out as a focal point for 2025: nuclear is re-emerging at the top of the business agenda, propelled by the urgent need for clean, dependable and controllable power that can support the rising energy demands of AI and other high-energy technologies. Although in September/October 2024, very few top execs globally identified Small Modular Reactors (SMRs) as a top 3 Sustainability technology for 2025, SMR technology development is expected to accelerate by 2025, and other key innovation priorities include strides toward limitless, clean power with nuclear fusion, or Advanced Modular Reactors that differ from light water reactors in the use of new types of fuels and a higher temperature and for some of them the promise to reduce the production of nuclear waste.
Why it matters: Driven by the massive energy demands of AI, major tech players are turning to nuclear energy to meet their growing computing needs. Large-scale investments are expected to further accelerate innovation in reactor technology and waste management, as the tech industry acknowledges that renewables alone cannot sustain its energy demands.
New generation supply chains: Agile, greener and AI-assisted
In the last few years, businesses have had to navigate increasingly complex, unpredictable market conditions. Key technologies including AI, data, blockchain, IoT and connectivity with Terrestrial Satellite Networks are now playing a strategic role in improving the cost efficiency, resilience, agility, circularity, and sustainability of supply chains. These technologies are allowing companies to enhance their predictive capacities and navigate an ever-changing ecosystem as they have now reached a sufficiently high level of maturity and therefore reliability. Meanwhile, progress in space techs such as low-earth orbit satellite constellations is particularly essential to increase coverage in white spots which is crucial for companies to be able to control their entire supply chains throughout the globe. In fact, according to the Capgemini Research Institute’s upcoming report, 37% of top executives see these new-generation supply chains powered by technologies as the top tech trend in industry and engineering in 2025. Additional regulatory and environmental constraints will make this shift all the more critical to ensure competitiveness, agility and resilience.
Why it matters: In 2025, global supply chains will keep facing environmental disruptions, regulatory pressures, and geopolitical tensions which will impact the flow of goods and raw materials. New regulation like the European Union’s Digital Product Passport will make it mandatory for companies to track and disclose the environmental footprint of their products, pushing them to adopt more sustainable practices.
TechnoVision 2025
TechnoVision is a global program from Capgemini articulating a comprehensive view of the world of Technology to help leaders make technology-driven business transformation decisions. It is guiding decision-makers through the myriad of emerging technology trends, to focus on those which will make their organization more effective. Capgemini’s Top 5 Tech Trends report and its CTIO TechnoVision playbook will be published in January 2025. www.capgemini.com/technovision
 is echoed by executives worldwide, as well as venture capital professionals surveyed for a global report set to be released at CES in January 2025. These technologies are expected to have a profound impact on other key areas, driving advancements that are likely to reach a point of maturity or breakthrough in 2025.){kind=link}