TREND 3
AI-driven
robotics

Blurring the line between
human and machine

GENERATIVE AI | CYBERSECURITY | ROBOTICS | NUCLEAR ENERGY | SUPPLY CHAIN

TREND 3

AI-driven robotics

Blurring the line between human and machine

Collaborative robots (cobots) and AI-driven robotics are used in various industries to enhance productivity and safety. These technologies enable human and robot to perform precision tasks in concert.

Around one-quarter (24%) of top executives and 43% of VCs see AI-driven automation and robotics as one of the top three tech trends in data and AI in 2025. While hard-coded, task-specific machines used to dominate robotics, the development of Gen AI is spurring the development of new products (including humanoid and collaborative robots) that can adapt to diverse scenarios and learn continuously from their environments.

With robots creeping towards full autonomy and AI taking on complex decision-making roles, the future of work may see a shift in traditional hierarchies.

AI-driven robotics at a glance

Almost half of organizations plan to adopt AI-powered robotics partially or completely in 2025.

of executives have ranked AI-powered robotics among the top three trends in 2025 in the industry and engineering domain

of investors ranked AI-powered robotics among the top three trends for 2025 in the industry and engineering domain.

Autonomous robots, cobots, humanoids…AI-driven robotics will be a top tech trend in 2025

LLMs are transforming robotic capabilities and have accelerated the development of next-gen robotics to handle complex, interconnected tasks, enhancing operational efficiency, personalizing customer experiences, and improving decision-making across industries.

We at Capgemini believe the global AI robotics market will see significant growth, driven by industrial automation, labor shortages, and the need to reduce safety risks and demands on human workers. Estimates suggest that the collaborative robot market is worth $2.3 billion in 2024 and experts expect it to reach $10.4 billion by 2035. The global humanoid robot market is projected to increase by a startling CAGR of 154% between 2024 and 2027, backed by increased investment in the US and Chinese markets.

Expected adoption for 2025

In 2025, advances in natural language processing (NLP) and machine vision will boost robot capabilities to take on ever more complex roles within the modern workforce. More than one-quarter of executives (26%) in our survey plan to implement AI-powered robots partially or completely across their organization in 2025.

How do you envision AI-driven robotics impacting your business operations in the next 1-2 years?

Strategic: We plan to fully integrate AI-driven robotics into our operations for increased efficiency.
High: We are exploring AI-driven robotics but haven't decided on implementation yet.
Exploration: We’re considering AI-driven robotics for specific tasks but not for overall operations.
None: We are not currently considering AI-driven robotics for our business.

Al-powered robots

Receive data via an array of sensors.
Analyse and act upon insights in real time.

Models like large behavior models (LBMs) and vision language action models (VLAMs) extend these capabilities to interpret, predict, and generate human-like behaviors in real-world settings.

Multimodal Data Integration:

Processing data from sensors, images, and sounds.

Human-Like Behaviours:

Walking, talking, and engaging in interactions.

Versatility and Efficiency:

Adapting to new tasks with minimal retraining/few demonstrations.

AI-driven robotics

Autonomous robots

Revolutionizing many sectors, including agriculture, healthcare, hospitality, and logistics.
Operates independently.
Adapts in real time to optimize workflows.

Humanoid robots

Can perform complex tasks in human-like manner.
Suitable for both industrial and non-industrial environments.
Potential settings include logistics, healthcare and customer services.
While humanoid robots are increasingly becoming popular, they have very limited flexibility.

Cobots

Reshaping industrial work dynamic by working directly alongside humans.
Take on physically demanding and repetitive tasks.
Flexible, easy to program.
Suitable for a variety of settings from manufacturing to healthcare.

Download the full report to check:

• What organizations and investors are saying • Key barriers to adoption at scale

Download the full report