AI in Industrial Automation

A multinational company sought to enhance its portfolio with AI integration. Our team responded with a structured, insight-driven approach built on competitive intelligence, early research, and strategic opportunity analysis.

Client Background:

The client is a multinational industrial technology company specializing in energy management, smart manufacturing, and automation solutions. With a strong global presence and a commitment to sustainable innovation, the client is increasingly focused on integrating artificial intelligence (AI) across its portfolio to drive operational efficiency, productivity, and competitive differentiation.

Engagement Objective:

The client engaged us to define a forward-looking strategy for AI adoption in industrial automation. The key objectives included:

• Analyzing the competitive landscape to understand how top industry players are deploying AI in automation.
• Identifying high-potential AI topics and use cases with tangible impact on operations.
• Pinpointing global innovation hotspots through a deep dive into recent R&D and IP trends.
• Delivering actionable recommendations aligned with the client’s strategic priorities and market positioning.

Methodology:

The search was initiated by gaining a thorough understanding of the technology domain.

• Competitive Strategy Analysis: Exhaustive search on secondary research sources to extract key AI use cases, investment areas, and execution models from leading global competitors.
• High-Potential Topic Identification: Assessed over 30 AI-related themes and narrowed them to 10 based on strategic fit, technical feasibility, maturity, and use case impact.
• Innovation Hotspot Mapping: Conducted a 5-year trend analysis of research publications and patent filings to identify regions, institutions, and clusters driving AI innovation in industrial automation.
• Opportunity Synthesis & Recommendations: Developed prioritized recommendations based on the intersection of market need, AI readiness, and the client’s core capabilities.

Client Impact:

The engagement delivered strong strategic value to the client:

• Enhanced Competitive Positioning: Enabled to benchmark against global leaders and recalibrate its AI roadmap in automation
• Informed Investment Strategy: Identified high-impact AI themes and use cases, guiding R&D and digital transformation investments
• Innovation Pipeline Acceleration: Highlighted emerging innovation hubs and technology partners, informing open innovation and M&A strategies
• Data-Driven Decision-Making: Equipped internal teams with structured insights to drive alignment across business, R&D, and product development functions

Outcome Snapshot:

A strategic blueprint enabling the client to build capabilities to deploy artificial intelligence in industrial automation while establishing strategic collaborations.

Stay Ahead in Industrial AI – Connect with Stellarix to identify emerging trends, innovation hubs, and strategic opportunities in automation.