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物聯網軟件採用報告：2023 年
市場調查報告書
商品編碼
1242410

物聯網軟件採用報告：2023 年

IoT Software Adoption Report 2023
出版日期: | 出版商: IoT Analytics GmbH | 英文 164 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

本報告根據對各行業軟件終端用戶的調查結果，總結了對 IT、OT 和 IoT 軟件支出趨勢、預算、採購決策、採購渠道等的分析。

上市公司

  • AWS
  • 思科
  • 谷歌
  • IBM
  • 微軟
  • MongoDB
  • 甲骨文
  • PTC
  • SAP
  • 西門子

內容

第 1 章執行摘要和研究重點

第二章介紹

第 3 章 IT/OT/IoT 支出

  • IT/OT/IoT 支出的變化
  • IT 支出的變化：按地區、公司規模和行業
  • OT 支出的變化：按地區、公司規模和行業
  • 物聯網支出的變化：按地區、公司規模和行業
  • 物聯網軟件簡介：評論

第 4 章當前優先事項和未來主題

  • 技術重點
  • 主要物聯網軟件和應用趨勢
  • 受訪者見解：物聯網軟件和應用的未來趨勢

第 5 章供應商

  • 最常用的 10 大物聯網軟件供應商：概覽
  • 受訪者提到的其他物聯網軟件供應商
  • 6 家最常用的 IT 軟件供應商：概述
  • 7 家最常用的製造/工程/OT 軟件供應商：概述
  • 供應商使用情況和支出趨勢：所有軟件
  • 兩年期軟件支出計劃：按供應商分類
  • 兩年 IoT 軟件支出計劃：按供應商分類
  • 兩年軟件支出計劃：6 家最常用的 IoT S/W 供應商
  • 供應商滿意度
  • IoT S/W 定價組件：按供應商
  • 供應商的 IoT S/W 付款頻率：軟件許可
  • 供應商的 IoT S/W 付款頻率：升級/維護/支持
  • 供應商的 IoT S/W 付款頻率：服務/集成
  • 供應商深入探討：使用細分和價格
  • 供應商深入探討：最常提及的軟件
  • 對比最終用戶和供應商對三個主題的看法：概述
  • 對比最終用戶和供應商對三個主題的看法：支出
  • 對比最終用戶和供應商對三個主題的看法：採購
  • 對比最終用戶和供應商對三個主題的看法：趨勢

第 6 章決策制定

  • 物聯網軟件工具決策者
  • 物聯網軟件工具決策者：按地區、規模和行業
  • 軟件功能的重要性
  • 軟件功能的重要性：按地區、規模和行業
  • 阻礙遷移到 SaaS 的障礙
  • 採用訂閱模式時的潛在挑戰：概述
  • 採用訂閱模式的潛在挑戰：按地區
  • 採用訂閱模式的潛在挑戰：按規模
  • 採用訂閱模式的潛在挑戰：按行業分類
  • 打破用戶和供應商合作關係的挑戰
  • 受訪者的見解：導致物聯網供應商放棄的挑戰

第七章預算和採購渠道

  • 軟件許可的預算限制
  • 軟件許可的預算限制：按地區、規模和行業
  • 軟件採購渠道：物聯網/非物聯網軟件
  • 軟件採購渠道：IT 與製造/工程/OT 軟件
  • IoT 軟件採購渠道：總體
  • IoT 軟件採購渠道：詳細分類
  • IT 軟件採購渠道：總體
  • IT 軟件採購渠道：詳細分類
  • 製造/工程/OT 軟件採購渠道：總體
  • 製造/工程/OT 軟件採購渠道：詳細分類
  • 定制開發項目：物聯網/非物聯網軟件
  • 定制開發項目：IT/製造/工程/OT 軟件

第 8 章軟件深入分析

  • 物聯網軟件支出的變化
  • IT 軟件支出的變化
  • 製造/工程/OT 軟件支出趨勢
  • 物聯網軟件定價組件
  • 物聯網軟件支付頻率：軟件許可證
  • 物聯網軟件支付頻率：升級/維護/支持
  • IoT 軟件支付頻率：其他服務/集成
  • 物聯網軟件：物聯網平台（概覽）
  • IoT 平台（深入探討）：2 年支出計劃
  • IoT 平台（深入探討）：定價組件
  • IoT 平台（深入探討）：主要供應商和付款頻率
  • 物聯網軟件：物聯網安全軟件
  • IoT 軟件：IoT 數據集的數據庫
  • 物聯網軟件：遠程資產訪問軟件
  • IoT 軟件：車間/運營資產的數據採集工具
  • 物聯網軟件：物聯網設備/資產操作系統
  • 物聯網軟件：增強現實或虛擬現實軟件
  • 物聯網軟件：數字孿生軟件
  • 物聯網軟件：邊緣管理平台
  • 物聯網軟件：其他物聯網中間件工具
  • 物聯網軟件：消息代理/協議轉換工具
  • IT 軟件：IT 網絡安全軟件
  • IT 軟件：雲 IaaS
  • 製造/工程/OT 軟件：計算機輔助設計 (CAD) 軟件

第 10 章研究方法論

第 11 章關於物聯網分析

簡介目錄

A 164-page report on the spending, decision-making, and procurement habits across 36 software types. Based on an extensive survey of 100 software end users in manufacturing, real estate, retail, and other industries.

The ‘IoT Software Adoption Report 2023’ is part of IoT Analytics' ongoing coverage of IoT software and platforms. The information presented in this report is based on an extensive survey of 100 software end users in manufacturing, real estate, retail, and other industries. The purpose is to inform other market participants about the current state of adoption of IoT and industrial software. Survey participants were selected randomly, and their knowledge was verified independently. To ensure complete objectivity, IoT Analytics did not alter or supplement any survey results and did not accept participants who were suggested by third parties (e.g., customers from specific vendors).

Questions answered:

  • How has the spending for IT, OT, and IoT software changed in 2022, and how is it expected to evolve in 2023?
  • What software technology topics have the highest priority for organizations?
  • Which IoT software and applications trends are on companies' radars?
  • Who is the primary decision maker when it comes to IoT software?
  • How are IoT software characteristics influencing the decision-making process?
  • What are potential issues when adopting a subscription model?
  • What issues can break a user-vendor partnership?
  • What are typical budget limits for purchasing different types of software licenses?
  • What are the main procurement channels that companies leverage for different IoT software?
  • How is the spending for the most used IoT software expected to change?
  • How and how often are users paying for their IoT software?
  • Which IoT software vendors are expected to see the highest and which the lowest investment increases in 2023 based on end-user reporting?
  • What are the main payment components for each software and vendor?

Companies mentioned:

A selection of companies mentioned in the report.

  • AWS
  • Cisco
  • Google
  • IBM
  • Microsoft
  • MongoDB
  • Oracle
  • PTC
  • SAP
  • Siemens

Table of Contents

1. Executive Summary and Survey Highlights

2. Introduction

3. IT, OT, and IoT Spending

Chapter 3: IT, OT, and IoT Spending-Overview and Key Takeaways

  • IT, OT, and IoT Spending Change
  • IT Spending Change across Regions, Company Sizes, and Industries
  • OT Spending Change across Regions, Company Sizes, and Industries
  • IoT Spending Change across Regions, Company Sizes, and Industries
  • IoT Software Adoption Commentary

4. Current Priorities and Future Themes

Chapter 4: Current Priorities & Future Themes-Overview and Key Takeaways

  • Technology Priorities from 2019 to 2022
  • Key IoT Software and Application Trends
  • Respondent's Insights on Expected IoT Software and Applications Trends (X/2)

5. Vendors

Chapter 5: Vendors-Overview and Key Takeaways

  • The 10 Most Used IoT Software Vendors-Overview
  • Additional IoT Software Vendors Mentioned by Respondents (X/2)
  • The Six Most Used IT Software Vendors-Overview
  • The Seven Most Used Mfg./Eng./OT Software Vendors-Overview
  • Vendor Usage vs. Spending Change: Across All Software
  • Two-Year Software Spending Plan by Vendor across All Software
  • Two-Year Software Spending Plan by Vendor across IoT Software
  • Two-Year Spending Plan for the Six Most Used IoT S/W Vendors (X/3): Company X & Company Y
  • Vendor Satisfaction through the Years across IoT Analytics' Surveys (X/2)
  • IoT S/W Pricing Components by Vendor
  • IoT S/W Payment Frequency by Vendor (1/3): Software License
  • IoT S/W Payment Frequency by Vendor (2/3): Upgrades/Maint./Support
  • IoT S/W Payment Frequency by Vendor (3/3): Services/Integration
  • Vendor A Deep Dive (1/2): Usage Breakdown and Pricing
  • Vendor A Deep Dive (2/2): Most Mentioned Software
  • Vendor B Deep Dive (1/2): Usage Breakdown and Pricing
  • Vendor B Deep Dive (2/2): Most Mentioned Software
  • Vendor C Deep Dive (1/2): Usage Breakdown and Pricing
  • Vendor C Deep Dive (2/2): Most Mentioned Software
  • Vendor D Deep Dive (1/2): Usage Breakdown and Pricing
  • Vendor D Deep Dive (2/2): Most Mentioned Software
  • Vendor E Deep Dive (1/2): Usage Breakdown and Pricing
  • Vendor E Deep Dive (2/2): Most Mentioned Software
  • Vendor F Deep Dive (1/2): Usage Breakdown and Pricing
  • Vendor F Deep Dive (2/2): Most Mentioned Software
  • Vendor G Deep Dive (1/2): Usage Breakdown and Pricing
  • Vendor G Deep Dive (2/2): Most Mentioned Software
  • Vendor H Deep Dive (1/2): Usage Breakdown and Pricing
  • Vendor H Deep Dive (2/2): Most Mentioned Software
  • Vendor I Deep Dive (1/2): Usage Breakdown and Pricing
  • Vendor I Deep Dive (2/2): Most Mentioned Software
  • Vendor J Deep Dive (1/2): Usage Breakdown and Pricing
  • Vendor J Deep Dive (2/2): Most Mentioned Software
  • Vendor K Deep Dive (1/2): Usage Breakdown and Pricing
  • Vendor K Deep Dive (2/2): Most Mentioned Software
  • Contrasting End-User and Vendor Perceptions on 3 Topics (1/4)-Overview
  • Contrasting End-User and Vendor Perceptions on 3 Topics (2/4)- Spending
  • Contrasting End-User and Vendor Perceptions on 3 Topics (3/4)-Procurem.
  • Contrasting End-User and Vendor Perceptions on 3 Topics (4/4)-Trends

6. Decision Making

Chapter 6: Decision Making-Overview and Key Takeaways

  • Decision Makers for IoT Software Tools
  • Decision Makers for IoT Software Tools by Region/Size/Industry
  • Software Characteristics Importance
  • Software Characteristics Importance by Region/Size/Industry
  • Roadblocks That Hinder the Move to SaaS
  • Potential Issues When Adopting a Subscription Model (1/4): Overview
  • Potential Issues When Adopting a Subscription Model (2/4) by Region
  • Potential Issues When Adopting a Subscription Model (3/4) by Size
  • Potential Issues When Adopting a Subscription Model (4/4) by Industry
  • Issues That Break a User-Vendor Partnership
  • Respondent Insights: Issues That Led to Dropping an IoT Vendor (1/4)
  • Respondent Insights: Issues That Led to Dropping an IoT Vendor (2/4)
  • Respondent Insights: Issues That Led to Dropping an IoT Vendor (3/4)
  • Respondent Insights: Issues That Led to Dropping an IoT Vendor (4/4)

7. Budget and Procurement Channels

Chapter 7: Budget & Procurement Channels-Overview and Key Takeaways

  • Budget Limits for Software Licenses
  • Budget Limits for Software Licenses by Region/Size/Industry
  • Software Procurement Channels: IoT vs. Non-IoT Software
  • Software Procurement Channels: IT vs. Mfg./Eng./OT Software
  • IoT Software Procurement Channels (1/2): Overall
  • IoT Software Procurement Channels (2/2): Detailed Breakdown
  • IT Software Procurement Channels (1/2): Overall
  • IT Software Procurement Channels (2/2): Detailed Breakdown
  • Mfg./Eng./OT Software Procurement Channels (1/2): Overall
  • Mfg./Eng./OT Software Procurement Channels (2/2): Detailed Breakdown
  • Custom Development Projects: IoT and Non-IoT Software
  • Custom Development Projects: IT and Mfg./Eng./OT Software

8. Software Deep Dives

Chapter 8: Software Deep Dives-Overview and Key Takeaways

  • IoT Software Spending Change
  • IT Software Spending Change
  • Mfg./Eng./OT Software Spending Change
  • Pricing Components for IoT Software
  • IoT Software Payment Frequency (1/3): For the Software License
  • IoT Software Payment Frequency (2/3): Upgrades/Maintenance/Support
  • IoT Software Payment Frequency (3/3): Other Services/Integration
  • IoT Software (1/11): IoT Platforms (Overview)
  • IoT Platforms (Deep Dive) (1/3): Two-Year Spending Plan
  • IoT Platforms (Deep Dive) (2/3): Pricing Components
  • IoT Platforms (Deep Dive) (3/3): Key Vendors and Payment Frequency
  • IoT Software (2/11): IoT Security Software
  • IoT Software (3/11): Databases for IoT Datasets
  • IoT Software (4/11): Remote Asset Access Software
  • IoT Software (5/11): Data Ingestion Tools for Shopfloor/Operational Assets
  • IoT Software (6/11): Operating System for IoT Devices/Assets
  • IoT Software (7/11): Augmented Reality or Virtual Reality Software
  • IoT Software (8/11): Digital Twin Software
  • IoT Software (9/11): Edge Management Platforms
  • IoT Software (10/11): Other IoT Middleware Tools
  • IoT Software (11/11): Message Broker/Protocol Conversion Tools
  • IT Software (1/2): IT Cybersecurity Software
  • IT Software (2/2): Cloud IaaS
  • Mfg./Eng./OT Software: Computer-Aided Design (CAD) Software

9. Appendix

10. Methodology

11. About IoT Analytics