Summary

Actionable Benefits

• Identify the right partner for industrial AI based on their respective strengths and weaknesses.
• Identify competitive advantages and establish sales and marketing goals and strategies based on a thorough understanding of the competitive landscape in industrial AI.
• Replicate the same assessment and review internal AI competencies when comparing with solutions offered by AI vendors.

Critical Questions Answered

• Who are the leaders, followers and laggards in industrial AI?
• What are the key criteria considered when assessing industrial AI companies?
• How is AI being implemented in industrial manufacturing?

Research Highlights

• Edge-to-cloud AI capabilities is the bedrock of a successful industrial AI solution, as industrial manufacturing is heavily focused on the edge.
• Strong momentum particularly in the USA and Europe in the adoption of industrial AI.
• Partnerships with existing solution providers and major public cloud AI vendors are important to the success of an industrial AI startup.

Who Should Read This?

• Decision makers in industrial manufacturing sectors who are considering their partners in digital transformation journey.
• Channels and marketing leaders who are looking for potential partners.
• Innovators in industrial AI looking to benchmark their performance.

ページTOPに戻る

Table of Contents

1. EXECUTIVE SUMMARY

1.1. Criteria for Company Selection

1.2. Vendor Matrix

1.3. Overview

2. INDIVIDUAL COMPANY ASSESSMENTS

2.1. Falkonry

2.2. FogHorn

2.3. Maana

2.4. Presenso

2.5. Sight Machine

2.6. SparkCognition

2.7. Uptake

2.8. Wizata

3. RELATED RESEARCH