Global Loop Hardware Market Outlook to 2028 – Featuring Robert Bosch, National Instruments, dSPACE and Speedgoat, among others –


DUBLIN–(BUSINESS WIRE)–The “Analysis Report of the Global Hardware in the Loop Market Size, Share and Trends by Type (Open Loop and Closed Loop), by Verticals (Automotive, Aerospace, Research and Education, Defense , Power Electronics), by Regional Outlook and Forecast, 2022 – 2028″ report has been added to from offer.

The global in-the-loop hardware market size is expected to reach USD 1.5 billion by 2028, growing the market at 10.4% CAGR during the forecast period.

Hardware-in-the-loop (HIL) simulation is a method used to test and develop complex real-time embedded systems. These are also abbreviated as HWIL or HITL. By integrating the complexity of the process actuator system, or plant, into a test platform, HIL simulation creates an efficient test environment.

The inclusion of a mathematical description of all connected dynamic systems in testing and development takes into account the complexity of the controlled plant. The term “factory simulation” refers to these mathematical representations. This industrial simulation interacts with the embedded being tested.

Traditionally, testing of control systems has been performed on actual machinery (i.e. a plant) in the field, on the entire system, or on an electrical test bench in a laboratory. This method can be extremely expensive, inefficient and even dangerous while ensuring test fidelity. The HIL test is a fantastic alternative to conventional testing techniques.

When using a simulator with inputs and outputs (I/O) capable of interacting with control systems and other equipment, a computer model that exactly replicates the physical plant replaces it during the HIL simulation . By accurately simulating the plant and its dynamics, as well as sensors and actuators, the HIL simulator can provide in-depth closed-loop testing without requiring testing on real systems.

In areas like aviation or automotive where operations are particularly complicated, HIL has been used for years. HIL can complement physical facility testing to provide a number of benefits. One such benefit is reduced testing costs. A significant investment in HIL may be justified by the high costs associated with testing complex machinery like aircraft subsystems. By adding HIL as an additional tool, field research can be minimized.

Market Growth Factors

An increase in automation propels the need for HIL technological advances

Automakers are incorporating technologies such as autonomous driving, crash avoidance systems and enhanced driver assistance systems. ECUs, algorithms and software used in autonomous technologies are tested using hardware-in-the-loop techniques. Hardware in the Loop Test Bed is used to verify sensor data for cameras, radar, LiDAR, image signal processors, GPS, and other sensors.

HIL simulators enable developers to verify new automotive software and hardware alternatives while meeting quality standards and time-to-market constraints, as in-vehicle drive tests to assess system performance and diagnostic functionality engine management are often time-consuming, expensive and non-reproducible.

Application of HIL in a multitude of fields such as robotics, aviation and offshore systems

The demand for hardware in loopback test solutions that can meet these new benchmarks has increased due to the expansion of functionality in contemporary cars. Hardware-in-the-loop solutions are mainly used in the aeronautical industry for the validation and verification of aeronautical control systems.

The hardware-in-the-loop technique is used for the majority of test applications because physical testing in this industry can be extremely dangerous for real plants and people. Control systems and mechanical structures are usually built simultaneously in offshore and marine engineering. Only after integration is it possible to test the control systems.

Marketing Restriction Factor:

Reduced demand for HIL systems due to high complexity and price

As the construction of the mathematical model can be difficult depending on the variables and the functional blocks added to the system, the hardware in the loop is a difficult technique to apply. Microgrids, aviation models, and the development of automotive environments are examples of complex systems that require hardware that can handle intensive data processing. In order to run the simulation model, companies must first invest in an expensive initial setup of real-time simulators and rack computers. A HIL simulator must be extremely complicated to run at high speeds or use dedicated I/O to produce high frequencies.

Scope of the study

Market Segments Covered in the Report:

By type

By vertical

  • Car

  • Aerospace

  • Research and education

  • Defense

  • Power electronics

  • Others

By geography

  • North America

  • WE

  • Canada

  • Mexico

  • Rest of North America

  • Europe

  • Germany

  • UK

  • France

  • Russia

  • Spain

  • Italy

  • The rest of Europe

  • Asia Pacific

  • China

  • Japan

  • India

  • South Korea

  • Singapore

  • Malaysia

  • Rest of Asia-Pacific


  • Brazil

  • Argentina

  • United Arab Emirates

  • Saudi Arabia

  • South Africa

  • Nigeria

  • Rest of LAMEA

Main market players

List of companies featured in the report:

  • Robert Bosch GmbH

  • National Instruments Corporation

  • dSPACE GmbH

  • Elektrobit Automotive GmbH (Continental AG)

  • OPAL-RT Technologies

  • Speedgoat GmbH

  • Acutronic Group

  • Plexim GmbH

  • IPG Automotive GmbH

  • Vector Informatik GmbH

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