产业部门的资料生成的预测

本报告提供产业部门的资料生成趋势调查，彙整在製造现场被生成的资料数量的转变·预测，地区·产业·连接各技术的详细分析，市场影响因素及成长机会分析等资讯。

实用的优点:

• 了解工业环境中资料生成整体动能背后的关键动态
• 可以辨识不同产业的不同资料产生模式
• 识别各种工业环境中的关键资料生成资产
• 确定近期将推动资料整合和分析解决方案需求的关键地区和产业领域
• 了解使用哪些连接技术来传输这些数据

重要问题的答案：

• 从 2024 年到 2030 年，各地区製造现场产生的资料量将如何改变？
• 到 2030 年，将使用固定线路和无线连线传输多少资料？
• 到 2030 年，哪些产业将推动製造现场产生的资料量增加？
• 到 2030 年，哪些地区的资料产生量将出现最大成长？
• 近期的宏观经济状况将如何影响製造业中先进资料整合与分析工具的采用？

研究亮点：

• 预测製造现场产生的资料量：世界、地区和产业（2024-2030 年）
• 详细资料产生预测：依製造资产分类（2024-2030 年）
• 用于传输企业资料的连接技术的详细预测（2024-2030 年）

目录

主要发现

新资讯

调查方法

公司产生的资料量：製造业

公司产生的资料量：以来源资料产生资产划分

公司产生的资料量：依基础设施连接技术划分

所使用的连接技术所产生的资料量：汽车製造

依所使用的连接技术划分的资料产生量：离散製造

所使用的连接技术产生的资料量：流程製造

Actionable Benefits:

• Understand the key dynamics behind the overall momentum of data generation in industrial environments.
• Determine different data generation patterns by industrial vertical.
• Determine the main data generating assets for the different industrial environments.
• Determine key geographical regions and industry sectors that will spur the demand for data integration and analytics solutions in the short term.
• Understand what connectivity technologies will be used to transmit these data.

Critical Questions Answered:

• How will the volume of data generated on manufacturing floors change across different geographical regions from 2024 to 2030?
• How much data will be transmitted using fixed line versus wireless connectivity throughout 2030?
• Which industry sectors will be the key drivers behind the increase in data generation on manufacturing floors until 2030?
• Which geographical regions will see the most significant growth in data generation by 2030?
• How will recent macroeconomic conditions influence the adoption of advanced data integration and analytics tools in manufacturing?

Research Highlights:

• Global, regional, and industry-specific forecasts of data generated on manufacturing floors from 2024 to 2030.
• Granular data generation forecast by manufacturing asset from 2024 to 2030.
• Detailed forecast of the connectivity technology used to transmit enterprise data from 2024 to 2030.

Who Should Read This?

• Data integration and analytics solution providers that want to understand which geographical regions and industry sectors to prioritize for developing their strategies.
• Cloud service providers seeking insights on data volume trends to offer scalable and efficient cloud-based data storage and analytics solutions.
• Chipset manufacturers aiming to understand data generation trends to develop high-performance, data-centric chips for manufacturing applications.
• Telco operators and Communication Service Providers (CSPs) that aim to understand the data demands of manufacturing floors to develop connectivity and data transmission solutions.
• Information Technology (IT) and infrastructure managers in manufacturing companies who need insights on data volume trends to plan for future technology and infrastructure investments.

TABLE OF CONTENTS

Key Findings

Whats New

Methodology

Data Generation in Industrial Enterprises by Manufacturing Industry

Data Generation in Industrial Enterprises by SourceData Generating Asset

Data Generation in Industrial Enterprises by Underlying Connectivity Technology

Data Generation in Automotive Manufacturing by Use Case Connectivity Technology

Data Generation in Discrete Manufacturing by Use Case Connectivity Technology

Data Generation in Process Manufacturing by Use Case Connectivity Technology