Gartner’s Top Tech Trends: Autonomous Supply Chains

Gartner has released its top supply chain technology trends for 2026, which are heavily focused on AI technologies that are reshaping supply chain management

The research firm says advances in AI technologies, spanning physical and agentic AI, are enabling supply chain and procurement professionals to drive business value, strengthen resilience and reimagine operating models.

Gartner identified eight top trends shaping supply chain technology in 2026, spanning governance, intelligent systems and multiagent systems.

Shifting toward intelligent AI systems

Gartner says the themes and trends it identified reflect a shift toward intelligent, self-directed and accountable systems that operate seamlessly across digital and physical environments.

Christian Titze, VP Analyst and Chief of Research in Gartner’s Supply Chain practice, says: “This year’s trends highlight the growing role of AI as the foundation for more autonomous, intelligent and adaptive supply chains.

“As organisations move toward hyperconnected, AI-driven environments, leaders must focus not only on deploying advanced technologies, but also on ensuring they work together to deliver measurable value and long-term resilience.”

Autonomy and agency trends

Gartner highlighted polyfunctional robots, which are advanced machines designed to perform multiple tasks within a single system, as a key trend. Gartner says the robots offers a new workforce model, particularly in environments facing labour shortages.

Physical AI, which combines AI models with IoT sensors, robotics and automation systems, was also a top trend. Gartner says it enables real-time sensing, analysis and execution across supply chain environments.

The research firm identified agentic AI as a top technology trend in supply chain, which is now capable of planning, acting and adapting to achieve goals in complex environments.

It also identified collaborative multiagent systems, which enable multiple AI agents to work together across workflows and environments as a key trend. Gartner suggests that organisations can automate complex, multistep processes and improve scalability and adaptability by using them. 

AI is transforming supply chains

The Boston Consulting Group (BCG) found that AI adoption is significant in supply chain management. A BCG survey found that 44% of companies are deploying AI in supply chain management.

As more companies adopt AI technology for supply chain use cases, early adopters may maintain a competitive advantage. Christian says: “These trends represent more than incremental improvements. They are catalysts for transforming supply chains. 

 “Organisations that proactively evaluate and integrate these technologies in line with their business objectives will be better positioned to navigate disruption, scale innovation and maintain competitive advantage.”

Gartner has previously predicted that by 2030, 50% of cross-functional supply chain management solutions will use intelligent agents to autonomously execute decisions in the ecosystem.

Governance and simulation models

Among other trends identified, covering specialisation and intelligence as well as trust and governance, intelligent AI adoption also proved critical. 

Intelligent simulation, which integrates AI, machine learning and advanced analytics into simulation models, was identified by Gartner as a top trend. Gartner says it enables more dynamic planning across logistics, transportation and warehouse operations.

Gartner also identified decision governance as a key trend. It highlighted that as AI adoption scales, organisations are implementing frameworks and guardrails to govern AI-enabled decision making, ensuring transparency, accountability and compliance. 

The other key themes were domain-specific language models, which can be fine-tuned for supply chain use, and product provenance to trace and verify the origin and journey of products across the supply chain.