This technology company wanted to be the competitive leader in the fast-growing space of Artificial Intelligence for Industrial IoT. While the firm was strong in IoT capabilities, leveraging AI for industrial applications was relatively new. Identify strategic areas where AI can give the company leading-edge insight and differentiation from other players in the market.

Challenges:

Competitive Market: Although the Industrial IoT market is crowded with many global players, most of them focus on integrating AI into manufacturing, predictive maintenance, and process optimisation.
Fragmented AI Ecosystem: The company was running multiple fragmented efforts in the area of AI, and no comprehensive strategy had been charted to realize the power of AI for IIoT applications.
Changing Industry Trends: Changing AI technologies at rapid intervals required the company to have a fluid strategy that could help them address the shifts in industry trends and emerging use cases such as smart manufacturing, supply chain optimization, and autonomous systems.

Solutioning

1. Market Landscape and Competitive Benchmarking

We initiated a deep market analysis of the Industrial IoT landscape, including mapping competitors and emerging technologies. It designed a comprehensive competitive benchmark assessing direct competitors and identifying the best in class for AI applications across industries. Additionally, we identified emerging AI technologies and use cases that have high potential for differentiation, including edge AI for real-time decision-making across manufacturing environments.
Gap Analysis: Our team conducted gap analysis between the current capabilities of our client and that of key competitors leading the use of AI for IIoT.

2. Identification of Strategic AI Cases

We worked closely with the client in identifying strategic high-impacting AI use cases like:
Predictive Maintenance: Application of AI to predict equipment failure and reduce downtime in industrial settings.
Smart Manufacturing: Development of AI algorithms that drive efficiency and reduce operational costs by automating processes.

Partnerships and Acquisitions: Identify potential AI startups and technology providers for partnerships or acquisition targets to rapidly develop AI capabilities for IIoT

Thought Leadership: Position the client as an industry thought leader through speaking engagements, white papers, and collaborations with academic and industry bodies focused on AI and IIoT.
Market Share: Gained 9% market share in AI-driven IIoT products driven by strength in predictive maintenance and smart manufacturing.
Partnerships and Acquisitions: Acquisition of two AI startups that successfully strengthened AI capabilities and gave this firm the competitive advantage in its respective field.
Industry Recognition: Besides allowing them to conduct industry conferences where they were perceived as a thought leader in AI for IIoT, it led to key partnerships with industrial players.

Contact Us:
Akash Anand – Head of Business Development & Strategy
info@snsinsider.com
Phone: +1-415-230-0044