Distributed Intelligence on the Edge: Building a Case For Edge AI

Price: Starting at USD 4,500
Publish Date: 14 Mar 2023
Code: AN-5774
Research Type: Research Report
Distributed Intelligence on the Edge: Building a Case For Edge AI
Actionable Benefits

Actionable Benefits

  • Gain a better understanding of how Artificial Intelligence (AI) workloads are processed traditionally and on the edge.
  • Have a holistic view of the edge AI ecosystem, from cloud hyperscalers, hardware infrastructure providers, software vendors, and professional services.
  • Identify key verticals and real-life use cases that can benefit from deploying edge AI.
Critical Questions Answered

Critical Questions Answered

  • What are the main drivers of growth for edge AI?
  • How can businesses benefit from deploying edge AI?
  • What are some of the challenges that businesses need to address before going on an edge AI journey?
  • What does the future of edge AI look like and how will it affect my business?
Research Highlights

Research Highlights

  • Opportunities in the edge AI market and how solution providers can take advantage of these opportunities.
  • Key benefits for businesses looking to deploy edge AI, as well as pitfalls to look out for.
  • Examples of edge AI solutions from technology providers across industries such as retail, manufacturing, healthcare, transportation, and mining.
Who Should Read This?

Who Should Read This?

  • Chief Information Officers (CIOs) and Chief Technology Officers (CTOs) in industries such as retail, manufacturing, etc. looking to embark on a strategic edge AI journey.
  • Technology providers wanting to build use cases and collaborate with the wider edge ecosystem.
  • Edge AI providers who want more information on the current and future state of edge AI.

Table of Contents



Key Takeaways

Edge AI Market Overview

Lay of the Land
Market Trends and Key Drivers
Vertical Specialization

Ecosystem Players

Cloud Infrastructure
Professional Services

Opportunities and Challenges for Edge AI

Opportunities in Edge AI
Challenges in Edge AI

Recommendations and Conclusions

Future State of Edge AI