工业数据趋势与技术

本报告探讨了工业资料管理趋势，总结了价值链中领先供应商和解决方案的竞争优势和差异化因素、製造资料架构的收入预测以及应用障碍。

实际收益：

• 识别并优先考虑客户在工业资料管理方面的需求。
• 了解按产业、使用案例和部署模式划分的关键成长机会。
• 评估工业资料管理解决方案供应商的竞争优势和差异化因素。

解答关键问题：

• 工业资料管理的哪些领域创新最多？
• 市场上的领先解决方案提供者有哪些？他们在哪些方面提供了差异化机会？
• 哪些因素阻碍了客户采用工业资料管理解决方案？

研究亮点：

• 数据价值链领先供应商解决方案评估
• 按应用程式划分的製造资料架构收入预测
• 基于优势的解决方案提供者区隔

目录

第一章：主要发现

第二章：主要预测

第三章：工业资料价值链

• 资料摄取与边缘处理
• 情境化与存储
• 编排
• 分析

第四章：主要参与者与生态系

• 云端解决方案供应商
• 边缘与资料营运软体
• 製造软体供应商
• 工业分析与智能

第五章：采用障碍

Actionable Benefits:

• Identify and prioritize customer needs in industrial data management.
• Recognize key growth opportunities across industries, use cases, and deployment models.
• Assess competitive positioning and points of differentiation among industrial data management suppliers.

Critical Questions Answered:

• What areas of industrial data management are experiencing the most innovation?
• Who are the key solution providers in the market, and where are there opportunities to differentiate?
• What is preventing customers from adopting industrial data management solutions?

Research Highlights:

• Table of major suppliers with ratings on their solutions along the data value chain.
• Manufacturing data fabric revenue forecast by specific application.
• Segmentation of solution providers based on their strengths.

Who Should Read This?

• Technology suppliers in product management, marketing, and corporate strategy.
• Industrial data platform providers in market intelligence.
• Systems integrators and value-added resellers.
• Manufacturing and industrial end users, including digital transformation managers and operations executives.

TABLE OF CONTENTS

1 KEY FINDINGS

2 KEY FORECASTS

3 INDUSTRIAL DATA VALUE CHAIN

• 3.1. INGESTION AND EDGE PROCESSING
• 3.2. CONTEXTUALIZATION AND STORAGE
• 3.3. ORCHESTRATION
• 3.4. ANALYTICS

4 KEY COMPANIES AND ECOSYSTEMS

• 4.1. CLOUD SOLUTION PROVIDERS
• 4.2. EDGE AND DATAOPS SOFTWARE
• 4.3. MANUFACTURING SOFTWARE PROVIDERS
• 4.4. INDUSTRIAL ANALYTICS AND INTELLIGENCE

5 BARRIERS TO ADOPTION