Schneider Electric: Global Energy Industry Accelerates Autonomous Operations by 2030, China Leads th
Time:2026-04-27 Browse: 1
Recently, global energy technology leader Schneider Electric released its Global Autonomous Maturity Report, highlighting that the energy and chemical industries are accelerating the adoption of autonomous operations technologies under the influence of multiple driving factors.
The report not only quantifies the industry’s evolution from automation to autonomy but also underscores China’s leading position in global autonomous operations. Amid rapid digital transformation, Chinese enterprises are leveraging autonomous operations to consolidate first-mover advantages, address transformation challenges, and achieve high-quality growth—critical factors shaping future competitiveness. Validated autonomous operation models are quickly expanding across broader sectors, propelling China’s industrial system into a new stage of intelligent development.
Global Autonomous Race: Shared Goals, Diverse Paths
Autonomy has become a global trend for the energy and chemical industries. Based on ARC Advisory Group’s Autonomous Operations Maturity Model (AOMM), which consists of five stages with Level 5 representing full autonomy, the report finds that the current average maturity of surveyed global energy and chemical companies is 3.52/5, situated between “Advanced Regulatory” and “Selective Autonomy,” with approximately 70% autonomy adoption.
By 2030, global companies expect to reach Level 4.02, with autonomy adoption rising to around 80%, enabling systems to operate fully autonomously under predefined scenarios, while humans intervene only for supervision or optimization. This indicates a broad consensus on advancing toward higher levels of autonomy across regions and enterprises.
Regional progress and strategic priorities vary. While directions are aligned, maturity is uneven. GCC countries and Asia currently lead, North America is expected to see the fastest growth over the next five years, and Europe shows more gradual progress. Strategic drivers differ: North America prioritizes productivity (59%), Asia focuses on cost reduction (39%), Europe balances productivity with competitiveness under Industry 4.0 frameworks, and GCC countries emphasize environmental performance (31%).
“Energy + AI” as a Global Acceleration Engine
The core driver of this transformation is the emerging AI–Energy Nexus. AI not only underpins industrial intelligence but also drives surging computational demand, pushing the global energy system to upgrade. By 2030, global electricity demand is projected to nearly double to approximately 1,000 TWh, reinforcing the need for flexible, efficient, and resilient operational systems. Autonomous operations are now a key element supporting system resilience and competitiveness, not merely an efficiency tool.
China’s Speed and Depth: From Pilot to Scale
Chinese enterprises lead globally in autonomous operations. The report shows that 74% of Chinese companies have achieved “full autonomy”, compared to the global average of 31%. This demonstrates not only numerical leadership but also a critical leap from isolated pilots to systematic, large-scale deployment, establishing China as a benchmark for autonomous operations globally.
China has entered a “rapid deployment acceleration” phase, with autonomous systems covering production and management processes—from renewable energy integration and grid optimization to industrial energy efficiency. AI-driven autonomous systems enhance safety, stability, and resilience. Strategic commitment is high: 94% of Chinese enterprises prioritize autonomy over the next five years, with 76% marking it as a “core high-priority” initiative—the highest in Asia.
Challenges remain, including skills gaps (38%), cybersecurity concerns (32%), and investment prioritization (32%), highlighting the need for talent development, robust security architecture, and resource coordination alongside technological rollout.
China’s Approach: Value-Driven, Technology-Enabled Autonomous Operations
China’s rapid adoption is driven by value and evidence-based strategies. 44% of enterprises cite pilot project results, and 41% emphasize competitive advantage as key drivers, well above global averages. Technologically, Chinese companies focus on a “Digital Twin + AI” closed-loop system, integrating simulation, prediction, and execution for adaptive, predictive industrial ecosystems.
This mature autonomous operations model is now expanding to other complex, continuous-production industries. A prime example is Baosteel’s Shanghai Baoshan facility, which, in collaboration with Schneider Electric’s EcoStruxure Plant solution, implemented unmanned crane systems, optimized logistics algorithms, and real-time monitoring. The autonomous rate of the crane system reached 98%, boosting productivity by 15–30% and improving operational safety and supply chain data-driven capabilities.
China’s speed, depth, and distinctive path in autonomous operations position it as a global leader in intelligent industrial transformation, offering scalable and verifiable best practices for other industries.
As a global leader in energy technology, Schneider Electric continues to deepen its presence in China, providing open and collaborative autonomous operation solutions to help Chinese enterprises achieve more efficient, resilient, and sustainable industrial growth, opening a new chapter in intelligent industry.
Brand / Country of Origin: Schneider Electric / France
