產業部門的資料生成的預測

本報告提供產業部門的資料生成趨勢調查，彙整在製造現場被生成的資料數量的轉變·預測，地區·產業·連接各技術的詳細分析，市場影響因素及成長機會分析等資訊。

實用的優點:

• 了解工業環境中資料生成整體動能背後的關鍵動態
• 可以辨識不同產業的不同資料產生模式
• 識別各種工業環境中的關鍵資料生成資產
• 確定近期將推動資料整合和分析解決方案需求的關鍵地區和產業領域
• 了解使用哪些連接技術來傳輸這些數據

重要問題的答案：

• 從 2024 年到 2030 年，各地區製造現場產生的資料量將如何改變？
• 到 2030 年，將使用固定線路和無線連線傳輸多少資料？
• 到 2030 年，哪些產業將推動製造現場產生的資料量增加？
• 到 2030 年，哪些地區的資料產生量將出現最大成長？
• 近期的宏觀經濟狀況將如何影響製造業中先進資料整合與分析工具的採用？

研究亮點：

• 預測製造現場產生的資料量：世界、地區和產業（2024-2030 年）
• 詳細資料產生預測：依製造資產分類（2024-2030 年）
• 用於傳輸企業資料的連接技術的詳細預測（2024-2030 年）

目錄

主要發現

新資訊

調查方法

公司產生的資料量：製造業

公司產生的資料量：以來源資料產生資產劃分

公司產生的資料量：依基礎設施連接技術劃分

所使用的連接技術所產生的資料量：汽車製造

依所使用的連接技術劃分的資料產生量：離散製造

所使用的連接技術產生的資料量：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