PUBLISHER: QYResearch | PRODUCT CODE: 1862150
PUBLISHER: QYResearch | PRODUCT CODE: 1862150
The global market for Industrial Internet of Things (IIoT) was estimated to be worth US$ 174775 million in 2024 and is forecast to a readjusted size of US$ 580238 million by 2031 with a CAGR of 18.5% during the forecast period 2025-2031.
The Industrial Internet of Things (IIoT) integrates various sensing and monitoring capabilities, including data acquisition and control sensors or controllers, as well as mobile communications and intelligent analytics, into every aspect of industrial production. This significantly improves manufacturing efficiency, product quality, and reduces costs and resource consumption, ultimately elevating traditional industries to a new stage of intelligence. In terms of application, IIoT applications feature real-time performance, automation, embedded systems (software), security, and information interoperability.
One of the primary drivers of IIoT adoption is the need for enhanced operational efficiency and reduced operational costs. Industrial enterprises are leveraging IIoT to monitor equipment, optimize production processes, and minimize downtime through predictive maintenance. Sensors and connected devices allow real-time monitoring of machinery performance, reducing unplanned maintenance and improving resource utilization, which directly impacts profitability.
The emergence of Industry 4.0 and smart factories is a significant driver for IIoT adoption. Industries are integrating automation, robotics, and intelligent systems to create highly efficient, flexible, and adaptive production environments. IIoT enables data-driven decision-making, machine-to-machine (M2M) communication, and seamless process control, allowing manufacturers to respond quickly to market changes and improve product quality.
IIoT facilitates predictive maintenance by collecting and analyzing real-time data from equipment and sensors. This enables industrial operators to predict equipment failures before they occur, schedule maintenance proactively, and reduce costly downtime. The ability to anticipate and prevent operational disruptions is a key factor driving IIoT adoption across manufacturing, energy, and logistics sectors.
The integration of AI, machine learning, and big data analytics with IIoT devices enhances decision-making and operational efficiency. By analyzing large volumes of real-time industrial data, companies can optimize production schedules, detect anomalies, and improve supply chain management. This analytical capability is a major driver, as businesses aim to leverage actionable insights to maintain competitiveness.
This report aims to provide a comprehensive presentation of the global market for Industrial Internet of Things (IIoT), focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Industrial Internet of Things (IIoT) by region & country, by Type, and by Application.
The Industrial Internet of Things (IIoT) market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Industrial Internet of Things (IIoT).
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Industrial Internet of Things (IIoT) company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Industrial Internet of Things (IIoT) in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Industrial Internet of Things (IIoT) in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.