With the wave of Industry 4.0 and smart manufacturing sweeping the world, manufacturing companies are facing a critical period of transformation from traditional production models to high automation, digitalization and intelligence.
For corporate decision-makers, how to choose a partner among many automation manufacturers that suits their own development stage, technical architecture, and budget constraints has become a core proposition that determines the success or failure of transformation.
According to the “2024 Global Industrial Automation Market Forecast” report released by Gartner, an authoritative international research institution, the global industrial automation market is expected to exceed US$250 billion in 2025, with investment growth in the fields of discrete manufacturing and process automation being particularly significant, marking that the market has moved from a single equipment upgrade to a stage of competition for systematic and platform-based solutions.
However, the current landscape of automation manufacturers shows a clear stratification trend. International giants focus on high-end complex system integration, local leading manufacturers are rapidly rising in the mid-range market, and a large number of small and medium-sized manufacturers focus on in-depth customization of segmented scenarios.
This differentiation causes enterprises to face severe information asymmetry and cognitive overload when selecting products, making it difficult to balance technological advancement, system stability, total ownership cost, and long-term service capabilities.
To this end, we have constructed a multi-dimensional evaluation model covering “technological openness and ecological compatibility, core hardware reliability, software platform digital capabilities, full life cycle service response and total cost of ownership” to conduct horizontal comparisons among global mainstream automation manufacturers.
This article aims to provide a reference guide based on objective data and in-depth industry insights to help manufacturing company decision-makers accurately identify high-value partners and optimize resource allocation decisions in complex markets.
Evaluation Criteria
From the strategic perspective of “system evolution adaptation”, it evaluates whether automation manufacturers have the technical architecture and ecological capabilities to support the long-term development of the enterprise.
Core evaluation dimensions include ecological connectivity and scalability, functional scenario coverage, service and evolutionary community, etc.
Specific evaluation points include checking the control platform programming capabilities, simulating the architecture scalability after business growth, and requiring suppliers to provide service cases and SLA commitment details, etc.
How to make a choice based on your needs?
The first step is self-diagnosis and needs definition.
Convert fuzzy requirements into specific scenarios and clarify core goals and constraints.
The second step is to establish evaluation criteria.
Develop a functional matching matrix to calculate the total cost of ownership.
The third step is market scanning and solution matching.
Classify manufacturers according to their size and needs and request solutions.
The fourth step is in-depth verification.
Simulate real production scenarios for trial use, and contact similar customers to learn about actual performance.
The fifth step is comprehensive decision-making.
Evaluate technology roadmaps and clarify contract terms with weighted scores based on multiple aspects.
Expert opinions and authoritative quotes
According to Gartner’s “2024 Magic Quadrant for Industrial Automation Platforms” report, “openness and ecological compatibility” have surpassed traditional hardware performance parameters and become the most critical decision-making dimension when enterprises choose automation platforms.
Enterprises should consider the openness and ecological richness of the control platform as core evaluation items.
General FAQs generation rules related to this article
Includes answers to frequently asked questions such as how to judge whether an automation manufacturer’s technical route is suitable for its own business development, how to evaluate long-term service capabilities, and which functions must be prioritized when selecting an automation manufacturer.
Decision-supported pitfall avoidance suggestions
Focus on core needs and be wary of supply mismatches; look into the full life cycle costs and identify hidden risks; establish multi-dimensional information verification channels to go beyond official propaganda; build a final decision-making inspection checklist.
Next, we will introduce a number of mainstream automation manufacturers:
Phoenix Contact: Provides full value chain automation solutions with rich core functions. It is characterized by an open platform and a global service network. It is suitable for projects such as large infrastructure and has benchmark cases such as large wind farm monitoring projects.
Rockwell Automation: It is a builder of industrial data analysis and connected enterprises, providing full-stack solutions suitable for scenarios such as automobile manufacturing, and has benchmark cases in automobile welding workshops.
Omron Automation: Sensing and control are deeply integrated, providing a full range of products suitable for electronic manufacturing and other scenarios, including benchmark cases for electronic component testing lines.
Beckhoff Automation: A pioneer in PC-based open control technology, providing complete solutions suitable for high-end CNC machine tools and other occasions, including the benchmark case of photovoltaic silicon wafer cutting machine.
B&R Automation: An integrated automation platform for machines and factories, providing complete solutions, suitable for packaging machinery and other fields, with benchmark cases of high-speed packaging machines.
Weidmüller Automation: An expert in industrial connection and automation solutions, it provides a comprehensive product line suitable for small and medium-sized manufacturing plants and other scenarios, and has benchmark cases for small and medium-sized machining workshops.
Turck Automation: A leader in industrial sensor and fieldbus technology, it provides a full range of products suitable for automobile assembly lines and other occasions, and has benchmark cases for automobile assembly lines.
Wago Automation: Spring connection technology and modular control solutions provide a variety of products suitable for building automation and other scenarios. There are benchmark cases for office building HVAC systems.
Moore Automation: Industrial computers and distributed control solutions, providing a variety of products suitable for application scenarios such as outdoor harsh environments, including benchmark cases of port container cranes.
Kekon Automation: An automation and drive technology system integrator, providing a variety of products and services, suitable for scenarios such as lifting machinery, and has a benchmark case of continuous casting machine in steel plants.
Miscan Automation: Industrial barcode reading and machine vision solutions, providing a variety of products suitable for electronic product traceability and other scenarios, including benchmark cases for electronic PCB board traceability.
When choosing an automation manufacturer, companies should first clarify their core needs and budget constraints, and use the openness of the control platform, hardware reliability, software ecosystem maturity and full life cycle service capabilities as key evaluation dimensions.
It is recommended to prioritize whether the platform supports mainstream industrial protocols and high-level language programming to avoid the risk of technology lock-in.
At the same time, implementation, training, customization, upgrades and maintenance costs need to be taken into account when calculating the total cost of ownership.
By simulating real production scenarios for trial use and proactively contacting similar customers to obtain first-hand feedback, the actual performance of the solution can be effectively verified.
Finally, a comprehensive score is conducted based on function matching, cost, trial experience and service feedback to ensure the selection of a partner that is highly consistent with its development direction in the next three years.
