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The "Industrial Connectivity Market Report 2024-2028" is part of IoT Analytics' comprehensive coverage of industrial and connectivity topics. The content presented in this report is based on a combination of primary and secondary research, including 35+ interviews with industrial connectivity vendors and system integrators conducted between June 2023 and June 2024.
The primary objective of this document is to provide our readers with a comprehensive understanding of the current industrial connectivity market landscape. It offers in-depth analysis of industrial connectivity hardware, software, architectures, protocols, technologies, market projections, factors driving adoption, notable trends, and insightful case studies to facilitate informed decision-making and strategic planning.
Industrial connectivity is the process of data exchange between industrial nodes, with seven key elements. These are data acquisition, DataOps, data storage, data transmission, data governance, architecture, and security.
According to the "Industrial Connectivity Market Report 2024-2028" by IoT Analytics, the global industrial connectivity market is projected to grow from $89 billion in 2023 to $104 billion by 2028 at a CAGR of 5% over the next 4 years.
As manufacturers get ready for the factory of the future, industrial connectivity is changing. Emerging shifts include widespread data availability enabled by smart nodes, streamlined data management through DataOps, and flexible architectures facilitated by edge and cloud advancements.
Industrial connectivity hardware will continue to have the dominant share of the overall industrial connectivity market but is expected to grow the slowest, with the software segments growing the fastest. Within the software segments. the industrial connectivity protocol converter software market is projected to grow at above 10% CAGR, while the smaller segment of message brokers (MQTT brokers) software is expected to grow at much faster pace. The industrial DataOps market is emerging rapidly. The DataOps software market, which consists of data quality management and data modeling, is expected to grow at the fastest pace in the next four years.
In the past | In the future |
Limited data availability | Widespread data availability-enabled by smart nodes, protocols, converters |
Rigid, siloed architectures | Flexible, scalable architectures-enabled by edge and cloud advancements |
Poor data management | Streamlined data management-enabled by industrial DataOps practices |
Slow and fragmented connectivity | Fast connectivity-enabled by interoperable Ethernet-based networks |
Restrictive wired connections | Flexible wireless networks-enabled by wireless mediums and protocols |
Basic hardware capabilities | Advanced hardware-enabled by integration of powerful CPUs/GPUs |
Hardware dependent computing | Distributed computing-enabled by edge and software-defined hardware |
A selection of companies mentioned in the report.
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