Additive Manufacturing e 3D Printing
What does the term “additive manufacturing” mean?
Additive manufacturing refers to a process of...
The beginning of a new year represents the perfect opportunity to renew goals and plan new approaches.
In a rapidly changing world, it is important to turn attention to the innovations that will shape the industrial landscape in 2025.
Knowing the trends is essential for those involved in innovation, both to anticipate changes and to identify new opportunities.
The trends that will become prominent in the coming years will reflect current needs and challenges, as well as future directions.
Exploring emerging trends offers a significant analysis in terms of economic growth, sustainability, and technological transformation.
Innovation continues to be the engine driving the global industry towards a more efficient, technologically advanced, and sustainable future.
Exploring the trends of 2025 offers companies the opportunity to proactively adapt and leverage the technologies that will take hold in the coming years.
What are the Top 5 Industry Trends for 2025?
As every year, Gartner has carefully selected the trends based on their innovation potential, evaluating how to integrate them into business models.
They can be divided into three macro-categories:
- AI Imperatives and Risks
- New Frontiers of Computing
- Human-Machine Synergy
(Source: 2025 Top Strategic Technology Trends, Gartner)
Let’s look more closely at the first five trends on the list:
Agentic AI
Agentic Artificial Intelligence refers to software programs designed to make decisions independently.
Based on predefined goals, they should be able to perform actions such as interacting with their environment and analyzing data.
An AI agent processes information and optimizes certain operations, creating an intuitive workflow.
These can then be used in various contexts like robotics, automation, and virtual assistance for increased productivity.
AI Governance Platforms
AI governance platforms manage and control AI systems to ensure they are used ethically and responsibly.
It is essential that AI is reliable and transparent, respecting security and ethical standards. This enables alignment with corporate values and helps avoid potential risks and privacy breaches.
Disinformation Security
The goal is to create systems that ensure the accuracy and authenticity of information.
Just as a cyberattack can damage IT infrastructure and digital networks, disinformation attacks can cause harm.
Phishing, hackers, and fake news are potential threats that cause disruption and online fraud.
Post-Quantum Cryptography
Post-Quantum Cryptography (PQC) refers to cryptographic methods designed to secure data against threats posed by quantum computers.
Quantum computing is expected to render many conventional cryptographic methods obsolete, posing a significant risk to data security.
Ambient Invisible Intelligence
Ambient Invisible Intelligence refers to the widespread use of small, low-cost tags and sensors to track the location and status of various objects and environments.
The technology for low-cost tags and sensors has become more accessible, making it economically attractive.
It offers real-time visibility, which is valuable for organizations and supply chains, and could expand into broader ecosystems over time.
Therefore, we can affirm that one of the main areas of innovation for 2025 concerns artificial intelligence (AI).
AI will be a key driver of the new transformation across many sectors, from manufacturing to resource management, and personalized services.
The use of AI in specific industries will be crucial for optimizing data management and enhancing customer experience.
Sustainability remains a fundamental priority, and in 2025 many companies are expected to accelerate the adoption of green technologies.
The industry must continue to respond to growing environmental concerns with innovative solutions that reduce ecological impact.