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市場調查報告書
商品編碼
1068417

全球 IIoT(物聯網)市場:按 IIoT 技術、解決方案和服務(2022-2027 年)

Industrial Internet of Things Market by IIoT Technologies, Solutions and Services 2022 - 2027

出版日期: | 出版商: Mind Commerce | 英文 | 商品交期: 最快1-2個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

在製造業和醫療保健的推動下,全球 IIoT(物聯網)市場將在 2027 年達到 9880 億美元。尤其是製造業,預計到 2027 年 IIoT 將達到 1782 億美元,複合年增長率為 17.9%。

人工智能與數字孿生、雲機器人和遠程控制的結合有望為系統集成帶來巨大的市場機會。從區域市場來看,北美是主要區域,其次是以德國為中心的歐洲,以日韓為中心的亞太地區。

本報告調查全球 IIoT(物聯網)市場並評估 IIoT 技術、企業、應用程序、服務和解決方案。它還提供有關 2022 年至 2027 年市場規模、5G、人工智能、高級數據分析、支持 IIoT 市場的技術以及主要公司的信息。

目錄

第 1 章執行摘要

第2章概述

  • 工業物聯網 (IIoT) 市場機會
  • IIoT 執行的優先領域
  • IIoT應用領域
  • 奠定工業物聯網的基礎
  • IIoT 未來潛力評估

第三章工業物聯網技術

  • 硬件技術
  • 軟件技術
  • IIoT/製造執行系統 (MES)
  • 邊緣計算
  • 遠程操作/遠程機器人
  • 數字孿生技術解決方案
  • IIoT網絡技術

第四章工業物聯網領域

  • 汽車/交通
  • 貨運/物流
  • 醫療保健
  • 製造
  • 石油和天然氣
  • 智慧城市
  • 公用事業

第 5 章 IIoT 案例研究

  • 汽車物聯網的數字化轉型
  • 借助工業 4.0 平台支持智能製造運營的進步
  • 提高生產力的更智能係統
  • 連接自動化和智能清洗
  • 用於管道監控的 IIoT
  • 智能工廠和工業自動化

第 6 章 IIoT 市場動態

  • 推動 IIoT 市場的因素
  • IIoT 市場面臨的挑戰

第7章IIoT企業分析

  • ABB
  • Accenture
  • AGT International
  • ARM Holdings
  • ATOS
  • B+B SmartWorx
  • Bosch
  • C3, Inc.
  • Cisco System Inc.
  • Digi International
  • Echelon Corporation
  • Elecsys Corporation
  • General Electric
  • Hitachi
  • IBM
  • Oracle
  • PTC
  • Real-Time Innovation
  • Rockwell Automation
  • SAP
  • Sensata Technologies
  • Siemens
  • Wind River
  • Worldsensing
  • Wovyn LLC.

第8章全球IIoT市場分析與預測(2022-2027)

  • 區域 IIoT 市場
  • 按產品分類:全球 IIoT 市場
    • 硬件工業物聯網市場
    • 軟件工業物聯網市場
    • IIoT 服務市場
  • 按行業分類:全球 IIoT 市場
    • 工業物聯網在製造業的部署
    • IIoT 醫療保健市場
    • IIoT汽車產業市場
    • IIoT零售行業市場
    • IIoT油氣行業市場
    • 按貨運/物流行業劃分的 IIoT 市場
    • 公用事業領域的工業物聯網
    • 酒店業 IIoT

第 9 章 IIoT 技術、解決方案和部署的未來

  • IIoT 部署和支持
  • IIoT 經濟價值的演變
  • IIoT 與技術融合
  • IIoT 數據即服務
  • 按來源劃分的 DaaS 市場:機器和非機器數據
  • 按數據收集劃分的 DaaS 市場:物聯網和非物聯網數據

第10章附錄:其他IIoT供應商分析

  • 歐洲工業物聯網
  • 北美的工業物聯網
  • 亞洲的工業物聯網
目錄

Overview:

This report evaluates IIoT technologies, companies, applications, services, and solutions. The report includes IIoT market sizing with forecasts covering the global and regional IIoT outlook as well as IIoT by industry vertical, software, hardware, and services for the period 2022 to 2027. The report also evaluates technologies supporting the IIoT market including 5G, AI, and advanced data analytics.

Select Report Findings:

  • Total global IIoT market will reach $988B by 2027, driven by manufacturing and healthcare
  • IIoT in manufacturing alone will reach $178.2 billion globally by 2027, growing at 17.9% CAGR
  • IIoT DaaS market for enterprise and industrial segments will reach $11.5 billion globally by 2027
  • IIoT data storage will reach $103.4 billion globally by 2027, led by manufacturing and healthcare verticals
  • Private wireless implementations to be a major driver for IIoT adoption within all major production-oriented industries
  • North America will be the leading region followed by Europe, led by Germany, and Asia Pac, led by Japan and South Korea
  • Combining AI with digital twins, cloud robotics, and teleoperation to drive substantial market opportunities for systems integration

The world is now experiencing its fourth stage of industrial evolution, which involves a marriage of physical and cyber systems for even greater productivity as well as new business models that were heretofore incomprehensible. This 4th stage (also known as Industry 4.0) builds upon the evolution from the previous three stages.

The fourth stage, also referred to as Industry 4.0, depends upon the maturation of a few important technologies including adaptive manufacturing, AI, big data analytics, IoT, and advances in robotics. Industry 4.0 solutions will benefit many industries including traditional manufacturing as well as any other industry verticals which rely upon efficient and effective business automation.

However, the USA has been in an industrial depression since the year 2000, due largely to offshoring significant portions of the industrial base to China. The industrial sector represents a smaller share of the economy than most other developed nations. Other countries in a similar status are France and the UK. Accordingly, there is an ever-pressing need within developed countries for improvements in productive efficiency and effectiveness.

Industrial Internet of Things (IIoT) solutions are poised to transform many industry verticals including healthcare, retail, automotive, and transport. For many industries, IIoT will significantly improve reliability, production, and customer satisfaction. While, IIoT will initially improve existing processes and augmented current infrastructure, the ultimate goal will be to realize entirely new, and dramatically improved products and services.

Successful companies will be those that understand how and where IoT technologies and solutions will drive opportunities for operational improvements, new and enhanced products, and services, as well as completely new business models.

IIoT will significantly improve reliability, production, and customer satisfaction. Initially focusing on improving existing processes and augmented current infrastructure, IIoT will rely upon as well as integrate with certain key technologies, devices, software, and applications.

IIoT involves a substantial breadth and depth of technologies, many of which require careful integration and orchestration. Leading managed service providers are looking beyond core Machine-to-Machine (M2M) communications towards more advanced services that involve IoT platform and device mediation, data management, and application coordination.

M2M messaging itself is evolving to a flatter hierarchical structure with edge computing networks, which will require managed privacy and security services to ensure data integrity and asset protection. M2M communications for IIoT will become increasingly necessary for enterprise and industrial organizations that wish to fully leverage IoT technologies.

Data analytics solutions provide the means to process vast amounts of machine-generated, unstructured data captured by M2M systems. As IIoT progresses, there will be an increasingly large amount of unstructured machine data. The growing amount of machine-generated industrial data will drive substantial opportunities for AI support of unstructured data analytics solutions.

The industrial sector is rapidly integrating IIoT solutions with many of the aforementioned technologies. This convergence will have a profound effect on industrial processes as well as create opportunities for product and service transformation. In some cases, entirely new business models will result from integration with broadband wireless and cloud technologies as the "as a service" model transforms many existing products into services. Also, IIoT solutions are evolving from transparency into operations to proactive maintenance and correction.

One clear area of improvement for industrial businesses that Mind Commerce sees is teleoperation and telerobotics as various industries will leverage the ability to control real machines/equipment by virtual objects through master controlling interfaces. We see teleoperations being transformed by digital twin technologies, which refers to the mapping of the physical world to the digital world in which IoT platforms and software are leveraged to create a digital representation of physical objects or assets. The digital twin of a physical object can provide data about the asset such as its physical state and disposition.

The use of 5G for IIoT networks will be of great importance to certain industry verticals such as agriculture, logistics, and manufacturing. The combination of robotics, teleoperation, and cloud technologies is poised to transform enterprise operations, industrial processes, and consumer services across many industrial related industry verticals.

All of these industrial sectors will also require efficient and effective computing systems. There is a substantial opportunity for both a centralized cloud `as a service` model for software, platforms and infrastructure as well as edge computing cloud solutions for industry. The combination of robotics, teleoperation, and cloud technologies is poised to transform industrial processes across many industry verticals.

The industrial sector is rapidly integrating IIoT solutions with many of the aforementioned technologies. This convergence will have a profound effect on industrial processes as well as create opportunities for product and service transformation. In some cases, entirely new business models will result from integration with broadband wireless and cloud technologies as the `as a service` model transforms many existing products into services. In addition, IIoT solutions are evolving from transparency into operations to proactive maintenance and correction.

Looking beyond command and control of machinery and processes, IoT data itself will become extremely valuable as an agent of change for product development as well as identification of supply gaps and realization of unmet demands. Direct purchase of this report includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Companies in Report:

  • ABB
  • Accenture
  • AGT International
  • ARM Holdings
  • ATOS
  • B+B SmartWorx
  • Bosch
  • C3, Inc.
  • Cisco System Inc.
  • Digi International
  • Echelon Corporation
  • Elecsys Corporation
  • General Electric
  • Hitachi
  • IBM
  • Oracle
  • PTC
  • Real Time Innovation
  • Rockwell Automation
  • SAP
  • Sensata Technologies
  • Siemens
  • Wind River
  • Worldsensing
  • Wovyn LLC

Table of Contents

1 Executive Summary

2 Overview

  • 2.1 The Industrial Internet of Things Market Opportunity
    • 2.1.1 People, Processes, and Technology
    • 2.1.2 IIoT and People
    • 2.1.3 IIoT and Processes
    • 2.1.4 IIoT and Technologies
  • 2.2 Critical Focus Areas for IIoT Execution
  • 2.3 IIoT Application Areas
    • 2.3.1 Process Optimization
    • 2.3.2 Enhance, Integrate and Scale existing Corporate IT Systems
    • 2.3.3 Leverage Potential of Existing Infrastructure
  • 2.4 Forming a Foundation for IIoT
    • 2.4.1 Industrial Internet Consortium
    • 2.4.2 Industry Leading Companies set the Pace
    • 2.4.3 Industry Test Beds for IIoT
    • 2.4.4 Industrial Internet Reference Architecture
  • 2.5 Evaluating the Future Potential of IIoT
    • 2.5.1 Cyber-security is a Critical Concern with IIoT
    • 2.5.2 IIoT is Facilitating a Drive-in Industrial Automation
    • 2.5.3 Early IIoT Deployments to Benefit Existing Industries
    • 2.5.4 IIoT will Integrate with Other Technologies to Achieve Success
    • 2.5.5 IIoT and the Fourth Industry Revolution
    • 2.5.6 IIoT to Facilitate Transition to Smart Factories
    • 2.5.7 Connected Factory: New Roles for Suppliers and Customers
    • 2.5.8 IIoT and Product Transformation to an "as a Service" Economy
    • 2.5.9 Intelligent Manufacturing: From Smart Factories to Smarter Factories
    • 2.5.10 Teleoperation and Tele-robotics
    • 2.5.11 IIoT and Fifth Generation Wireless
    • 2.5.12 IIoT and Edge Computing

3 IIoT Technologies

  • 3.1 Hardware Technologies
    • 3.1.1 Hardware Development Platforms
    • 3.1.2 Smart Sensors
  • 3.2 Software Technologies
    • 3.2.1 Connectivity Platforms
    • 3.2.2 Data Storage Platforms
    • 3.2.3 Data Analytics and Visualization Platforms
    • 3.2.4 IoT Protocols
  • 3.3 IIoT and Manufacturing Execution Systems (MES)
    • 3.3.1 Role and Importance with IIoT
    • 3.3.2 MES and Cyber-Physical Systems
    • 3.3.3 MES in the Cloud and other Convergence
    • 3.3.4 Future of IIoT Enabled MES
  • 3.4 Edge Computing
    • 3.4.1 Introduction to Edge Computing
    • 3.4.2 Mobile Edge Computing (Multi-access Edge Computing)
    • 3.4.3 Fog Computing (Non-Cellular Edge Computing)
    • 3.4.4 Edge Computing in Industrial Networks and Systems
  • 3.5 Teleoperation and Telerobotics
    • 3.5.1 Teleoperation
    • 3.5.2 Tele-robotics
    • 3.5.3 Cloud Robotics
  • 3.6 Digital Twin Technologies and Solutions
    • 3.6.1 Digital Twinning
    • 3.6.2 Digital Twin Solution Drivers
    • 3.6.3 Digital Twin Solution Use Cases
  • 3.7 Network Technologies in IIoT
    • 3.7.1 Wireless Local Area Network
    • 3.7.2 Wireless Personal Area Network
    • 3.7.3 Wireless Wide Area Networks
    • 3.7.4 Wireless Sensor Networks

4 IIoT in Industry Verticals

  • 4.1 Automotive and Transportation
  • 4.2 Cargo and Logistics
  • 4.3 Healthcare
  • 4.4 Manufacturing
  • 4.5 Oil and Gas
  • 4.6 Smart Cities
  • 4.7 Utilities

5 IIoT Case Studies

  • 5.1 IoT Enabled Digital Transformation in Automotive
  • 5.2 Industry 4.0 Platform Helps Advance Smart Manufacturing Operations
  • 5.3 Smarter Systems for Increased Productivity
  • 5.4 Connectivity and Intelligence Cleaning Automation
  • 5.5 IIoT for Pipeline Monitoring
  • 5.6 Smart Factories and Industrial Automation

6 IIoT Market Dynamics

  • 6.1 IIoT Market Drivers
  • 6.2 IIoT Market Challenges

7 IIoT Company Analysis

  • 7.1 ABB
    • 7.1.1 Company Profile
    • 7.1.2 Recent Developments
  • 7.2 Accenture
    • 7.2.1 Company Profile
    • 7.2.2 Recent Developments
  • 7.3 AGT International
    • 7.3.1 Company Profile
    • 7.3.2 Recent Developments
  • 7.4 ARM Holdings
    • 7.4.1 Company Profile
    • 7.4.2 Recent Developments
  • 7.5 ATOS
    • 7.5.1 Company Profile
    • 7.5.2 Recent Developments
  • 7.6 B+B SmartWorx
    • 7.6.1 Company Profile
    • 7.6.2 Recent Developments
  • 7.7 Bosch
    • 7.7.1 Company Profile
    • 7.7.2 Recent Developments
  • 7.8 C3, Inc.
    • 7.8.1 Company Profile
    • 7.8.2 Recent Developments
  • 7.9 Cisco System Inc.
    • 7.9.1 Company Profile
    • 7.9.2 Recent Developments
  • 7.10 Digi International
    • 7.10.1 Company Profile
    • 7.10.2 Recent Developments
  • 7.11 Echelon Corporation
    • 7.11.1 Company Profile
    • 7.11.2 Recent Developments
  • 7.12 Elecsys Corporation
    • 7.12.1 Company Profile
  • 7.13 General Electric
    • 7.13.1 Company Profile
    • 7.13.2 Recent Developments
  • 7.14 Hitachi
    • 7.14.1 Company Profile
    • 7.14.2 Recent Developments
  • 7.15 IBM
    • 7.15.1 Company Profile
    • 7.15.2 Recent Developments
  • 7.16 Oracle
    • 7.16.1 Company Profile
  • 7.17 PTC
    • 7.17.1 Company Profile
    • 7.17.2 Recent Developments
  • 7.18 Real-Time Innovation
    • 7.18.1 Company Profile
    • 7.18.2 Recent Developments
  • 7.19 Rockwell Automation
    • 7.19.1 Company Profile
    • 7.19.2 Recent Developments
  • 7.20 SAP
    • 7.20.1 Company Profile
    • 7.20.2 Recent Developments
  • 7.21 Sensata Technologies
    • 7.21.1 Company Profile
  • 7.22 Siemens
    • 7.22.1 Company Profile
    • 7.22.2 Recent Developments
  • 7.23 Wind River
    • 7.23.1 Company Profile
    • 7.23.2 Recent Developments
  • 7.24 Worldsensing
    • 7.24.1 Company Profile
  • 7.25 Wovyn LLC.
    • 7.25.1 Company Profile

8 IIoT Global Market Analysis and Forecasts 2022 - 2027

  • 8.1 IIoT Market by Region 2022 - 2027
  • 8.2 IIoT Global Market by Products Offered 2022 - 2027
    • 8.2.1 IIoT Market for Hardware in 2022 - 2027
    • 8.2.2 IIoT Market for Software in 2022 - 2027
    • 8.2.3 IIoT Market for Services 2022 - 2027
  • 8.3 IIoT Global Market by Industry Vertical 2022 - 2027
    • 8.3.1 IIoT Deployments in Manufacturing Sector 2022 - 2027
    • 8.3.2 Healthcare Market for IIoT 2022 - 2027
    • 8.3.3 Automotive Industry Market for IIoT 2022 - 2027
    • 8.3.4 Retail industry Market for IIoT 2022 - 2027
    • 8.3.5 Oil and Gas Industry Market for IIoT 2022 - 2027
    • 8.3.6 Market for IIoT by Cargo and Logistic Sector 2022 - 2027
    • 8.3.7 IIoT in Utilities Sector 2022 - 2027
    • 8.3.8 IIoT in Hospitality Sector 2022 - 2027

9 Future of IIoT Technologies, Solutions, and Deployment

  • 9.1 IIoT Deployment and Support
    • 9.1.1 Carrier Supported IIoT Networks
    • 9.1.2 IIoT and Private Wireless Networks
  • 9.2 Evolution of IIoT Economic Value
    • 9.2.1 Internal Company Benefits
    • 9.2.2 Customer Oriented Benefits
    • 9.2.3 IIoT Data Becomes the Product
  • 9.3 IIoT and Technology Convergence
  • 9.4 IIoT Data as a Service
    • 9.4.1 Data as a Service (DaaS) General Market
    • 9.4.2 DaaS Market for Business Data (Enterprise and Industrial)
  • 9.5 DaaS Market by Source: Machine and Non-Machine Data
  • 9.6 DaaS Market by Data Collection: IoT and Non-IoT Data

10 Appendix: Additional IIoT Vendor Analysis

  • 10.1 European IIoT
  • 10.2 North American IIoT
  • 10.3 Asia IIoT

Figures

  • Figure 1: IIoT Impact on Automation and Processes
  • Figure 2: Four Pillars of IIoT Execution
  • Figure 3: IoT Framework
  • Figure 4: 5G and IIoT
  • Figure 5: Requirements for Wireless IIoT Access Technology
  • Figure 6: Hardware Systems used in IIoT
  • Figure 7: Software Solutions used in IIoT
  • Figure 8: Smart Sensor Components
  • Figure 9: Smart Sensor Model
  • Figure 10: Smart Sensor Model with Functional Partitioning
  • Figure 11: IoT Data Processing Flow
  • Figure 12: Sensor Node Components
  • Figure 13: Wireless Sensor Network Topologies
  • Figure 14: IIoT Market Drivers and Constraints
  • Figure 15: Embedded Systems and IIoT
  • Figure 16: Managing Devices, Processes, and End-users in IIoT
  • Figure 17: IIoT Management Platform: Cloud, Connectivity, and Devices
  • Figure 18: Fourth Generation Automation Software
  • Figure 19: Global IIoT Market 2022 - 2027
  • Figure 20: IIoT Regional Market 2022 - 2027
  • Figure 21: IIoT Deployments in Manufacturing Sector 2022 - 2027
  • Figure 22: IIoT Deployments in Manufacturing Sector by Region 2022 - 2027
  • Figure 23: IIoT Deployments in Healthcare Sector 2022 - 2027
  • Figure 24: IIoT Deployments in Healthcare Sector by Regions 2022 - 2027
  • Figure 25: IIoT Deployments in Automotive Sector 2022 - 2027
  • Figure 26: IIoT Deployments in Automotive Sector by Regions 2022 - 2027
  • Figure 27: IIoT Deployments in Retail Sector 2022 - 2027
  • Figure 28: IIoT Deployments in Retail Sector by Regions 2022 - 2027
  • Figure 29: IIoT Deployments in Oil and Gas Sector 2022 - 2027
  • Figure 30: IIoT Deployments in Oil and Gas Sector by Regions 2022 - 2027
  • Figure 31: IIoT Deployments in Cargo and Logistics Sector 2022 - 2027
  • Figure 32: IIoT Deployments in Cargo and Logistics Sector by Regions 2022 - 2027
  • Figure 33: IIoT Market for Utilities Sector 2022 - 2027
  • Figure 34: IIoT Market for Utility Sector by Regions 2022 - 2027
  • Figure 35: IIoT Market for Hospitality Sector 2022 - 2027
  • Figure 36: IIoT Market for Hospitality Sector by Regions 2022 - 2027
  • Figure 37: DaaS Market for Business Data
  • Figure 38: DaaS Market by Solution using Business Data
  • Figure 39: DaaS Market Industry Vertical

Tables

  • Table 1: Leading Proprietary RTOS in Embedded Systems
  • Table 2: Global IIoT Market 2022 - 2027
  • Table 3: IIoT Regional Market 2022 - 2027
  • Table 4: IIoT Market by Product Segments 2022 - 2027
  • Table 5: IIoT Regional Market by Product Sub-segments 2022 - 2027
  • Table 6: Market for Connectivity Platforms by Industry Sector 2022 - 2027
  • Table 7: Market for Connectivity Platforms by Regions 2020 - 2028
  • Table 8: Market for Sensor Infrastructure by Industry Sector 2022 - 2027
  • Table 9: Market for Sensor Infrastructure by Region 2022 - 2027
  • Table 10: Market for Hardware Platforms by Industry Sector 2022 - 2027
  • Table 11: Market for Hardware Platforms by Region 2022 - 2027
  • Table 12: Market for Data Storage by Industry Sector 2022 - 2027
  • Table 13: Market for Data Storage by Region 2022 - 2027
  • Table 14: Market for Software Development Platforms and Apps by Industry Sector 2022 - 2027
  • Table 15: Market for Software Development Platforms and Apps by Region 2022 - 2027
  • Table 16: Market for Data Analytics platform by Industry Sector 2022 - 2027
  • Table 17: Market for Data Analytics platform by Region 2022 - 2027
  • Table 18: Market for Cyber-security Solutions by Industry Sector 2022 - 2027
  • Table 19: Market for Cyber-security Solutions by Region 2022 - 2027
  • Table 20: Market for Cloud Based Services by Industry Sector 2022 - 2027
  • Table 21: Market for Cloud Based Services by Region 2022 - 2027
  • Table 22: Market for Management and Consulting Services by Industry Sector 2022 - 2027
  • Table 23: Market for Management and Consulting Services by Region 2022 - 2027
  • Table 24: IIoT Global Market for Industry Vertical 2022 - 2027
  • Table 25: IIoT Deployments in Manufacturing Sector 2022 - 2027
  • Table 26: IIoT Deployments in Manufacturing Sector by Region 2022 - 2027
  • Table 27: IIoT Deployments in Manufacturing Sector by Product Sub-segment 2022 - 2027
  • Table 28: IIoT Deployments in Healthcare Sector 2022 - 2027
  • Table 29: IIoT Deployments in Healthcare Sector by Region2022 - 2027
  • Table 30: IIoT Deployments in Healthcare Sector by Product Sub-segment 2022 - 2027
  • Table 31: IIoT Deployments in Automotive Sector 2022 - 2027
  • Table 32: IIoT Deployments in Automotive Sector by Regions 2022 - 2027
  • Table 33: IIoT Deployments in Automotive Sector by Product Sub-segment 2022 - 2027
  • Table 34: IIoT Deployments in Retail Sector 2022 - 2027
  • Table 35: IIoT Deployments in Retail Sector by Regions 2022 - 2027
  • Table 36: IIoT Deployments in Retail Sector by Product Sub-segment 2022 - 2027
  • Table 37: IIoT Deployments in Oil and Gas Sector 2022 - 2027
  • Table 38: IIoT Deployments in Oil and Gas Sector by Regions 2022 - 2027
  • Table 39: IIoT Deployments in Oil and Gas Sector by Product Sub-segments 2022 - 2027
  • Table 40: IIoT Deployments in Cargo and Logistics Sector 2022 - 2027
  • Table 41: IIoT Deployments in Cargo and Logistics Sector by Regions 2022 - 2027
  • Table 42: IIoT Deployments in Cargo and Logistics Sector by Product Sub-segments 2022 - 2027
  • Table 43: IIoT Market for Utility Sector 2022 - 2027
  • Table 44: IIoT Market for Utility Sector by Regions 2022 - 2027
  • Table 45: IIoT Market for Utility Sector by Product Sub-segment 2022 - 2027
  • Table 46: IIoT Market for Hospitality Sector 2022 - 2027
  • Table 47: IIoT Market for Hospitality Sector by Regions 2022 - 2027
  • Table 48: IIoT Market for Hospitality Sector by Product Sub-segment 2022 - 2027
  • Table 49: DaaS Market for Business Data
  • Table 50: DaaS Market by Solution Type using Business Data
  • Table 51: DaaS Market by Source (Machine vs. Non-Machine Data)
  • Table 52: DaaS Market by Data Collection Type (IoT vs. Non-IoT)