Capgemini: Top Technology Trends Shaping Businesses in 2025
As 2025 approaches, the interplay between AI, cybersecurity and sustainable energy solutions is becoming increasingly important.
Technology is not only driving economic growth but also addressing pressing global challenges such as climate change and data security.
This is leading companies to strategically position themselves to harness these advancements, while policymakers grapple with the regulatory implications of such rapid technological progress.
In this context, Capgemini has released its annual 'TechnoVision Top 5 Tech Trends to Watch in 2025' report.
The study, which draws insights from a survey of 1,500 top executives worldwide, identifies key technologies expected to reach significant milestones in the coming year.
“Last year, Capgemini’s Top 5 Tech Trends predicted the emergence of smaller Gen AI language models and AI agents, both of which came to fruition,” explains Pascal Brier, Chief Innovation Officer at Capgemini and Member of the Group Executive Committee.
“We also signaled the importance of Post-Quantum Cryptography, confirmed by the publication of the National Institute of Standards and Technology’s standards last summer.
“And as anticipated, semiconductors have been at the center of attention in 2024 with significant evolution driven by the massive use of AI and generative AI, as well as shifts in market dynamics.”
‘Gen AI: From copilots to reasoning AI agents’
The report suggests that Gen AI is evolving towards more autonomous and interconnected systems.
According to Capgemini, 32% of surveyed executives consider AI agents as the top technology trend in data and AI for 2025.
These AI systems are expected to handle complex tasks such as supply chain management and predictive maintenance with minimal human oversight.
The development of a 'superagent', capable of orchestrating multiple AI systems, is also anticipated to optimise interactions and create new AI ecosystems across industries.
Why it matters: The maturation of AI models is set to unlock greater potential in industries relying on quick, flexible responses to unexpected challenges, such as healthcare, law and financial services.
‘Cybersecurity: New defences, new threats’
Capgemini highlights the dual role of AI in cybersecurity, enabling both more sophisticated attacks and more advanced defences.
The company's research indicates that 97% of organisations surveyed have encountered breaches or security issues related to generative AI use in the past year.
To mitigate these risks, companies are investing in endpoint and network security, automating threat detection and preparing for future quantum computing threats through post-quantum cryptography.
Why it matters: As AI plays a larger role in decision-making and operational control, ensuring trust in these systems becomes crucial.
Cybersecurity must address both technical and psychological concerns to ensure protection and confidence in daily-used systems.
'AI-driven robotics: Blurring the lines between humans and machines’
Advancements in AI technology have accelerated the development of next-generation robots, expanding beyond traditional industrial uses.
"In 2025, we see AI and Gen AI having a major impact on companies' priorities and also on many adjacent technology domains, such as robotics, supply chains or tomorrow's energy mix."
The report notes that 24% of top executives and 43% of venture capitalists see AI-driven automation and robotics as one of the top three tech trends in data and AI for 2025.
These new robots, including humanoid robots and collaborative robots (cobots), can adapt to diverse scenarios and learn continuously from their environment.
Why it matters: As Industry 4.0 progresses, AI-powered robots are expected to drive efficiency, flexibility and innovation in manufacturing, logistics and agriculture, taking on more complex roles within the modern workforce.
‘Nuclear: The surge of AI driving the clean tech agenda’
Capgemini identifies nuclear energy as a focal point for 2025, driven by the need for clean, dependable power to support the rising energy demands of AI and other high-energy technologies.
It anticipates accelerated development of Small Modular Reactor (SMR) technology and progress towards nuclear fusion.
Why it matters: Major tech players are turning to nuclear energy to meet their growing computing needs, with large-scale investments expected to accelerate innovation in reactor technology and waste management.
‘New generation supply chains: Agile, greener and AI-assisted’
Key technologies including AI, data, blockchain, Internet of Things (IoT) and connectivity with Terrestrial Satellite Networks are playing a strategic role in improving supply chain efficiency, resilience and sustainability.
Capgemini indicates that 37% of top executives see these new-generation supply chains as the top tech trend in industry and engineering for 2025.
Why it matters: In 2025, global supply chains will continue to face environmental disruptions, regulatory pressures, and geopolitical tensions.
New regulations, such as the European Union's Digital Product Passport, will also push companies to adopt more sustainable practices.
Technologies shaping the next 5 years:
Engineering biology
Biosolutions are addressing today's most pressing challenges.
Capgemini suggests that 41% of top executives believe molecular assembly will reach maturity and become commercially viable by 2030, with 37% envisioning the same for genomic therapies.
Quantum computing
According to the survey, 55% of top executives and 44% of venture capitalists expect quantum computing to be one of the top three technologies within the 'Computing & Networking' space to create a major impact in 2025.
Artificial general intelligence
Capgemini finally indicates that 60% of top executives and 60% of venture capitalists surveyed believe artificial general intelligence will reach maturity and become commercially viable by 2030.
Pascal concludes: "In 2025, we see AI and Gen AI having a major impact on companies' priorities and also on many adjacent technology domains, such as robotics, supply chains or tomorrow's energy mix."
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