1. Data Distribution Service (DDS) Market Drivers
‘Benefits of Data Distribution Service (DDS)’
Data Distribution Service (DDS) has many advantages. For example, DDS makes it easier to develop distributed applications. DDS provides a fully decentralized architecture that enables loosely coupled systems. Applications communicate in a true peer-to-peer manner, with no intermediary services or message brokers that could introduce single points of failure or performance bottlenecks. DDS systems are dynamic and can support “plug and play” of new application components, making it easy to expand or grow the system. DDS applications are completely decoupled from each other, and applications can still publish information even if there are no active subscriber applications. DDS automatically determines which subscriber applications should receive information and ensures that the correct data is delivered to the correct subscriber application reliably and in real-time. DDS can significantly reduce the time to market for new products and help ensure cost savings throughout the lifecycle of a project by making systems easier to design, implement, integrate, deploy and maintain. In addition, DDS can significantly reduce time to market for new products and help ensure cost savings throughout the lifecycle of a project by making systems easier to design, implement, integrate, deploy and maintain. In addition, DDS also has the advantages of supporting application portability, realizing interoperability between applications, providing users with supplier independence and choice, and supporting high-performance scalable systems. The many benefits provided to users by Data Distribution Services (DDS) will lead to market expansion of this industry.
‘Downstream demand drives market growth’
DDS is widely used, mainly in aerospace and defense, automotive, healthcare, industrial automation, transportation and other fields. DDS sets new levels of performance, reliability, scalability, interoperability and fault-tolerance for military and aerospace systems. DDS addresses the real-time data distribution needs of military and aerospace systems by satisfying a range of requirements at different temporal and geographical scale for applications such as radar processors, naval combat management systems, land systems, and next-generation network-centric systems. In the transportation domain, DDS provides a unique ability to address the real-time data distribution requirements of large-scale, complex transportation management systems. It enables real-time coordination of telemetry data with other sensor data to optimize complex rail, trucking, and fleet operations. With rich information, DDS enables users to deliver more goods on time at a lower cost, improving service quality and reducing supply chain costs. In healthcare, DDS securely shares patient and device data to build smarter clinical information systems. It connects devices in hospital rooms, integrates whole-hospital systems, and connects to the cloud and mobile technologies. The proliferation of smart medical devices creates new integration challenges for networks of devices. DDS provides a proven solution for the secure transfer of real-time data between medical devices and other information systems in a clinical environment. In industrial automation, DDS provides the integration, scalability, and flexibility to support complex, highly sophisticated, and distributed real-time control systems. Internet Protocol-based architectures bring modularity to Supervisory Control and Data Acquisition (SCADA) applications and enable systems that are more flexible and easier to update. The development of downstream aerospace and defense, automotive, healthcare, industrial automation, transportation and other industries will promote the continuous growth of the DDS industry.
2. Data Distribution Service (DDS) Market Restraints and Challenges
‘Security vulnerabilities on the Data Distribution Service (DDS)’
The Cybersecurity and Infrastructure Security Agency (CISA) disclosed in a vulnerability bulletin that security vulnerabilities have been found in multiple open source and proprietary Object Management Group (OMG)DDS (Data Distribution Service) standards. They fall into two main categories: network-based vulnerabilities and configuration-based vulnerabilities.
Network-based vulnerabilities: Since DDS is a network-based protocol, an obvious place to look for security issues are the message interpretation routines (such as permitted lengths of a field, where e.g. overflows could potentially happen). This vulnerability could allow an attacker to send misformed RTPS packets to send unwanted traffic to a target host, potentially performing a denial of service (DoS) attack or causing information to leak. In addition, another related issue found in the DDS specification is the lack of IP cleaning, which means that any arbitrary IP can be written into the IP field (no soundness check or address security list).
Configuration-based vulnerabilities: DDS configuration makes extensive use of XML, JSON, YAML, or similar formats; therefore configuration files were another attack vector analyzed. This type of vulnerability, due to buffer overflow, allows an attacker to write arbitrary values to the XML parser, which can bring down the system.
DDS is used in aerospace and defense, air traffic control, autonomous vehicles, medical devices, robotics, power generation, simulation and testing, smart grid management, transportation systems, and other applications that require real-time data exchange. The network security risks that exist in the security vulnerabilities of DDS threaten the infrastructure of the whole society, which may cause serious national and social security risks.
‘Lack of standardization in middleware’
OMG Real-time System Data Distribution Service ® (DDS®) is the first open international middleware standard that directly addresses publish-subscribe communications for real-time and embedded systems. DDS introduces a virtual global data space where applications can share information by simply reading and writing data objects addressed by application-defined names (topics) and keys. DDS has refined and extensive control over QoS parameters, including reliability, bandwidth, delivery deadlines, and resource limits. DDS also supports building local object models on top of the global data space. Data distribution services (DDS) as middleware for machine-to-machine communication, concretely, in the real world, sensors collect data; In the digital world, artificial intelligence and operator analytics leverage data to generate operational optimization. Raw data collected in the real world cannot be understood and processed without qualifiers and context. The gap and connection between the two needs to be completed through the middleware, in order to ensure that the data can go to where it needs to go, so middleware standardization is necessary. In short, DDS standardization enables interoperability while protecting a high degree of interconnection.
3. Data Distribution Service (DDS) Market Opportunities Analysis
‘Opportunities for digital transformation’
Under the trend of digitization, intelligence and automation, standardization of data distributed services and other middleware is an important solution to accelerate the transformation. In order to meet the needs of complex, connected industrial environments, the Industrial Internet Consortium released the Industrial Internet Reference Architecture in 2015, introducing a layered data bus architecture. It is a standards-based architectural approach and framework for developing interoperable IIOT systems for a wide variety of applications across a wide range of industrial verticals. It specifies the core connectivity standards that these complex systems need to secure. For example, in the petroleum industry, drilling optimization applications may require well planning constraints, bit constraints, and any restrictions imposed by well control. DDS data becomes actionable through Quality of service (QoS) attributes that provide specific and broad control of parameters (i.e., reliability, bandwidth, delivery deadlines, and resource limits) as well as real-time event notification when these contracts are violated. DDS standardization enables interoperability while protecting data and IP in a highly connected industrial environment, facilitating the development of the Industrial Internet of Things and accelerating industrial transformation. Therefore, the need for digital transformation is also contributing to the development of the industry.
‘The development of new applications’
With the rapid development of information technology, virtualization and cloud computing have been widely used in all walks of life. Virtualization is the process of converting physical entities (such as servers, storage devices, and networks) into logical entities for efficient resource utilization and flexible scheduling. Virtualization technology can effectively reduce IT costs and improve system reliability and flexibility. In the field of cloud computing, virtualization technology plays a crucial role, which enables cloud computing service providers to provide computing, storage and application services in a cost-effective and efficient manner. DDS in data centers and virtualization span from high-level use of software to low-level enhancements. From managing virtual and machine units for efficient data exchange to improving how virtual machines (VMs) and computing cores communicate with each other, DDS is seen as the ideal choice for its built-in or add-on integration capabilities. Counting on its capability to multicast for discovery, DDS can be used across distributed networks to create the appearance of a uniform DDS-based network. Therefore, the development of DDS provides an ideal choice for the advancement of virtualization and cloud development, and the development of these new industries also provides opportunities for the development of the industry.
4. Major Downstream Buyers of Data Distribution Service (DDS) Market Analysis
Volkswagen, Bosch, Komatsu, Atlas Copco, GE Healthcare and iRobot are the major downstream buyers of Data Distribution Service (DDS). These companies are located in Germany, Germany, Japan, Sweden, the United States, and the United States, respectively, and are involved in the fields of automotive manufacturing, industrial technology, construction and mining equipment, industrial tools and equipment, medical technology, and consumer robotics.
Table Downstream Buyers
Contact Information | |
Volkswagen | Web: www.vw.com Tel: 49-5361-9-0 Add: Jana Jonasa 1 Wolfsburg, 38440 Germany |
Bosch | Web: www.bosch.com Tel: +49 711 400 40990 Add: Robert-Bosch-Platz 1, 70839 Gerlingen-Schillerhöhe, GERMANY |
Komatsu | Web: www.komatsu.com Tel: 81-3-5561-4711 Add: 2-3-6, Akasaka, Minato-ku, Tokyo, 107-8414, Japan |
Atlas Copco | Web: www.atlascopco.com Tel: +46 (0)8 743 8000 Add: Sickla Industriväg 19 Nacka, Stockholm, 13154 Sweden |
GE Healthcare | Web: www.gehealthcare.com Tel: 1 203 3604369 Add: 500 West Monroe Street, Chicago, Illinois, 60661 |
iRobot | Web: www.irobot.com Tel: +1.781.430.3000 Add: 8 Crosby Drive, Bedford, MA 01730 |
