AI, IoT, Automation, and Sustainability Trends (Last 6 Months)
This report captures the industrial shift over the past six months, where emerging technologies—AI, advanced IoT, next-gen automation, and sustainability—are moving from concept to real-world impact. Global industries, particularly in APAC, are not just adopting but operationalizing these technologies for tangible ROI, operational excellence, and regulatory compliance.
Key Themes:
AI-Powered Predictive Maintenance (PdM):
Transition from reactive to prescriptive maintenance.
Achieves significant cost savings, downtime reduction, and energy efficiency.
Integrated with EAM systems (e.g., SAP, Maximo), PdM becomes strategic, not just technical.
Advanced IoT & Real-Time Analytics:
Surge in connected devices (expected 37B by 2025).
Enables real-time operational decisions, especially through edge computing and cloud analytics.
AI enhances IoT data into predictive and prescriptive insights across sectors.
AI & Energy Optimization:
AI fine-tunes HVAC, lighting, power grids, and industrial processes, cutting energy use by up to 29%.
Paradoxically, large AI models themselves consume vast energy, sparking a rise in “Green AI” (efficient models, hardware, and renewable-powered data centers).
Hyperautomation & Autonomous Operations:
Beyond task automation to end-to-end intelligent orchestration using AI, RPA, digital twins, low-code tools, and agentic AI.
Delivers substantial efficiency gains (31%), cost reductions (27%), and faster deployment.
APAC Acceleration:
Countries like China, India, Singapore, and Japan are leading in adoption through smart factories, government-backed AI strategies, and high GenAI usage.
Despite strong momentum, challenges like skill gaps, cybersecurity, and infrastructure limitations persist.
Cross-Cutting Insights:
Data quality and integration (IT/OT convergence) are foundational.
Cybersecurity must be embedded from the start.
Sustainability and operational efficiency now go hand in hand.
Ecosystem partnerships are critical to scale and success.
This report captures the industrial shift over the past six months, where emerging technologies—AI, advanced IoT, next-gen automation, and sustainability—are moving from concept to real-world impact. Global industries, particularly in APAC, are not just adopting but operationalizing these technologies for tangible ROI, operational excellence, and regulatory compliance.
Key Themes:
AI-Powered Predictive Maintenance (PdM):
Transition from reactive to prescriptive maintenance.
Achieves significant cost savings, downtime reduction, and energy efficiency.
Integrated with EAM systems (e.g., SAP, Maximo), PdM becomes strategic, not just technical.
Advanced IoT & Real-Time Analytics:
Surge in connected devices (expected 37B by 2025).
Enables real-time operational decisions, especially through edge computing and cloud analytics.
AI enhances IoT data into predictive and prescriptive insights across sectors.
AI & Energy Optimization:
AI fine-tunes HVAC, lighting, power grids, and industrial processes, cutting energy use by up to 29%.
Paradoxically, large AI models themselves consume vast energy, sparking a rise in “Green AI” (efficient models, hardware, and renewable-powered data centers).
Hyperautomation & Autonomous Operations:
Beyond task automation to end-to-end intelligent orchestration using AI, RPA, digital twins, low-code tools, and agentic AI.
Delivers substantial efficiency gains (31%), cost reductions (27%), and faster deployment.
APAC Acceleration:
Countries like China, India, Singapore, and Japan are leading in adoption through smart factories, government-backed AI strategies, and high GenAI usage.
Despite strong momentum, challenges like skill gaps, cybersecurity, and infrastructure limitations persist.
Cross-Cutting Insights:
Data quality and integration (IT/OT convergence) are foundational.
Cybersecurity must be embedded from the start.
Sustainability and operational efficiency now go hand in hand.
Ecosystem partnerships are critical to scale and success.
This report captures the industrial shift over the past six months, where emerging technologies—AI, advanced IoT, next-gen automation, and sustainability—are moving from concept to real-world impact. Global industries, particularly in APAC, are not just adopting but operationalizing these technologies for tangible ROI, operational excellence, and regulatory compliance.
Key Themes:
AI-Powered Predictive Maintenance (PdM):
Transition from reactive to prescriptive maintenance.
Achieves significant cost savings, downtime reduction, and energy efficiency.
Integrated with EAM systems (e.g., SAP, Maximo), PdM becomes strategic, not just technical.
Advanced IoT & Real-Time Analytics:
Surge in connected devices (expected 37B by 2025).
Enables real-time operational decisions, especially through edge computing and cloud analytics.
AI enhances IoT data into predictive and prescriptive insights across sectors.
AI & Energy Optimization:
AI fine-tunes HVAC, lighting, power grids, and industrial processes, cutting energy use by up to 29%.
Paradoxically, large AI models themselves consume vast energy, sparking a rise in “Green AI” (efficient models, hardware, and renewable-powered data centers).
Hyperautomation & Autonomous Operations:
Beyond task automation to end-to-end intelligent orchestration using AI, RPA, digital twins, low-code tools, and agentic AI.
Delivers substantial efficiency gains (31%), cost reductions (27%), and faster deployment.
APAC Acceleration:
Countries like China, India, Singapore, and Japan are leading in adoption through smart factories, government-backed AI strategies, and high GenAI usage.
Despite strong momentum, challenges like skill gaps, cybersecurity, and infrastructure limitations persist.
Cross-Cutting Insights:
Data quality and integration (IT/OT convergence) are foundational.
Cybersecurity must be embedded from the start.
Sustainability and operational efficiency now go hand in hand.
Ecosystem partnerships are critical to scale and success.