SPS Fair 2024:工業自動化最新趨勢
市場調查報告書
商品編碼
1634643

SPS Fair 2024:工業自動化最新趨勢

SPS Fair 2024: The Latest Industrial Automation Trends

出版日期: | 出版商: IoT Analytics GmbH | 英文 56 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄
關於本報告

本報告全面總結了 SPS Fair 2024 的主要亮點,包括對提供邊緣 AI 的前 5 大工業自動化 OEM 的比較、對 9 家中國硬體供應商在歐洲的擴張的分析,以及 IoT Analytics 分析師團隊彙編的 14 條深入見解。這些見解基於 75 多次展位參觀、50 多次個人訪談和多次演講。

範例視圖

本報告的主要目標是讓讀者瞭解工業自動化領域的最新趨勢,並在不斷變化的市場格局中保持領先地位。

所有討論都圍繞著與工業物聯網/工業 4.0 相關的主題。

範例視圖

關於 SPS 2024

SPS是一個涵蓋廣泛數位和智慧自動化解決方案的工業展覽會。 2024 年的重點不僅將放在控制、驅動和感測器技術等傳統自動化領域,還將放在軟體、IT 和 AI 上。

範例視圖


報告內容

  • 摘要和主要亮點:SPS 2024 的整體印象、參展商情緒、關鍵主題/主題
  • 重要公告與發佈:Beckhoff, Microsoft, Nvidia, OPC Foundation, Rockwell Automation, SICK, Schneider Electric, Siemens, Thyssenkrupp等。
  • 提供邊緣 AI 的五大工業自動化 OEM 比較:Advantech, Beckhoff, Eurotech, Schneider Electric, Siemens)
  • 九家中國硬體廠商歐洲擴張分析Cotrust、Flexem、Googoltech、INVT、Inovance、Kinco、Triomotion、Veichi、Wecon
  • 14 項深入見解:範例/證據點、訪談重點
  • 工業軟體與資料洞察:IT DevOps 最佳實務、MTP 工業 DataOps、IT 與 Ot 集成
  • Edge Insights:增強型邊緣解決方案、虛擬 PLC、IPC、物聯網網關
  • 關於人工智慧和生成式人工智慧的見解:用於 PLC 工程的工業生成式人工智慧、用於維護的工業人工智慧、微邊緣人工智慧
  • 連線洞察:LPWAN、5G IoT 設備、5G 網關
  • 其他見解:生態系夥伴關係、安全性增強
  • 附錄

目錄

第 1 章概述

第 2 章摘要與重點

第三章 重要公告及發佈

第 4 章 比較 1:邊緣 AI

第五章 比較2:中國公司

第六章 會議見解

  • a)工業軟體與資料分析
  • b>邊緣洞察 c)人工智慧和生成式人工智慧洞察
  • d) 連結洞察
  • e) 其他見解

第 7 章附錄

簡介目錄

A 56-page PDF presenting a comprehensive summary of the key highlights and in-depth insights assembled by the IoT Analytics analyst team at SPS fair 2024.

About the report

The "SPS Fair 2024: The Latest Industrial Automation Trends" report is a comprehensive summary of the key highlights from SPS fair 2024-including a comparison of 5 prominent industrial automation OEMs offering Edge AI, an analysis of the expansion into Europe of 9 Chinese hardware vendors, and 14 in-depth insights-assembled by the IoT Analytics analyst team. These insights are based on >75 booth visits, >50 individual interviews, and attendance at several presentations. 3 analysts were present for a total of 3 days.

SAMPLE VIEW

The main purpose of this document is to help our readers stay abreast of the newest trends in industrial automation and stay ahead of the evolving market landscape.

All discussed insights are centered around topics related to Industrial IoT/Industry 4.0.

SAMPLE VIEW

About SPS 2024

The SPS is a coveted industrial exhibition encompassing a broad spectrum of digital and smart automation solutions. In 2024, the event went beyond traditional automation areas like control, drive, and sensor technology and brought software, IT, and AI to center stage. The exhibition maintained the same 16 halls as the previous year to accommodate the largest influx of visitors since the pandemic.

SAMPLE VIEW


The report includes:

  • Summary & key highlights (general impressions, exhibitor sentiment, key topics/themes at SPS 2024)
  • Key announcements & launches (Beckhoff, Microsoft, Nvidia, OPC Foundation, Rockwell Automation, SICK, Schneider Electric, Siemens, Thyssenkrupp, and more)
  • Comparison of 5 prominent industrial automation OEMs offering Edge AI (Advantech, Beckhoff, Eurotech, Schneider Electric, Siemens)
  • Analysis of the expansion into Europe of 9 Chinese hardware vendors (Cotrust, Flexem, Googoltech, INVT, Inovance, Kinco, Triomotion, Veichi, Wecon)
  • 14 in-depth insights (with examples/proof-points and interview highlights)
  • Industrial software & data insights (IT DevOps best practices, MTP industrial DataOps, IT and Ot integration)
  • Edge insights (enhanced edge solutions, virtual PLCs, IPCs, IoT gateways)
  • AI and generative AI insights (industrial GenAI for PLC engineering, industrial AI for maintenance, micro-edge AI)
  • Connectivity insights (LPWAN, 5G IoT devices, 5G gateways)
  • Other insights (ecosystem partnerships, security enhancements)
  • Appendix

Table of Contents

1. Overview

2. Summary & key highlights

3. Key announcements & launches

4. Comparison 1: Edge AI

5. Comparison 2: Chinese companies

6. Conference insights

  • a) Industrial software and data insights
  • b) Edge insights
  • c) Ai and generative AI insights
  • d) Connectivity insights
  • e) Other insights

7. Appendix