産業用AIプラットフォームとサービスプロバイダーの競合評価

当レポートでは、産業用AIプラットフォームとサービスプロバイダーについて調査分析し、企業選定の基準、ベンダーマトリクス、概要について、体系的な情報を提供しています。

第1章 エグゼクティブサマリー

第2章 企業別の評価

• Falkonry
• FogHorn
• Maana
• Presenso
• Sight Machine
• SparkCognition
• Uptake
• Wizata

第3章 関連調査

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.

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