JAPANESE INDUSTRIAL AUTOMATION AND DEVOPS TRENDS
Japan is emerging as a global leader in industrial automation. Japanese original equipment manufacturers (OEMs) are at the forefront of this trend, with unique attention to efficient, intelligent, and automated industrial processes.
Chisa Nakata, president of Wind River® Japan since 2020, has helped Japanese customers with their mission-critical infrastructure across several industries, including aerospace and defense, industrial, medical, and automotive. That’s given her unique insight into the region’s embedded systems and automation development trends.
What industrial automation trends are you paying attention to?
Chisa Nakata: The initial convergence of IT and operational technology (OT) had little effect on industrial automation, but that’s no longer true. In the last five to eight years, embedded automation has adopted edge computing and complex software systems.
Until a decade ago, industrial automation systems equipment relied on hardware computer boards with embedded technology that could not be upgraded without changing boards. Industrial automation OEMs kept their equipment the same for 15 to 20 years without updating them, due to heavy cost and new design efforts. Only in the last decade have industrial automation OEMs begun to use software technology in their equipment design to make faster upgrades/updates, and that continues as the OEMs go to their next generation of industrial automation equipment. Japan has been an industrial automation leader for many years, but now it is leading efforts to adopt software and modern software development methods.
CHISA NAKATA
Chisa Nakata has been the president of Wind River Japan since 2020. She has previously headed Wind River Japan distributor sales and the sales department. She has been helping Japanese customers across industries such as aerospace and defense, industrial, medical, and automotive to accelerate their digital transformation with Wind River software, especially for missioncritical infrastructure.
The new IT/OT convergence fosters synergy across vertical industries, such as real-time collaboration in manufacturing and operations. The result is faster, more efficient decision-making and the creation of new services.
The machine economy is gaining momentum. Autonomous machines are improving at communicating, making decisions, and carrying out economic activities independently, without human intervention. This trend has enormous potential.
Finally, the edge has become a critical area of focus, with DevOps and DevSecOps methodologies changing how edge systems integrate with real-time operations. The explosion of data, the demand for real-time processing at the edge, and network bandwidth limitations are driving significant financial investments. For instance, the global market for edge data centers is expected to grow from $13 billion in 2023 to $39.8 billion by 2030, according to a November 2024 Global Industry Analysts report.
How has software development changed?
Software development has a new focus on flexibility, agility, scalability, and automation.
Agile and DevOps: Agile methodologies and DevOps once were initiatives without corporate buy-in. Today, they are expected. These methodologies proved themselves with rapid, iterative software releases in embedded systems as well as other application domains. Teams work closely to integrate automation tools that speed up development cycles and enhance feedback loops. Everyone agrees on the principles of these long-popular methodologies, but OEM product development teams often encounter difficulties in implementation.
Cloud-native technologies: Cloud-native techniques promise loosely coupled systems that are resilient, manageable, and observable, emphasizing open source and vendor neutrality. The adoption of cloud-native tenets in the embedded development community has resulted in scalable, flexible systems that expand and adapt to business needs.
AI and automation: Automation has increased the efficiency of software development processes such as testing, deployment, and monitoring, particularly as tools and processes adopt AI and machine learning.
User-centric design: Developers are paying more attention to user experience. Software in both general and embedded markets is designed with better interfaces, ease of use, and frequent updates.
Security and DevSecOps: As security demands grow, DevOps is becoming DevSecOps, where security is integrated into every software development lifecycle stage.
The result: Companies can (and do) respond faster to market demands, with innovative applications that solve user needs as well as the flexibility to rapidly and easily change production to meet new orders and customer trends. Japan’s industrial automation segment is leading the charge in adopting these advancements by strategically moving away from waterfall methods to DevSecOps.
Incorporating DevSecOps ensures security from the start of the development process. For example, Omron, a Japanese industrial automation company, streamlined its global software development by sharing a common infrastructure across multiple teams.
Which industrial automation market segments are changing fastest?
The industrial automation segment has improved its processes, particularly in Japan. Japan’s global presence in this sector is influenced by the adoption of technologies such as industrial IoT, edge computing, robotics, and AI and machine learning (ML), which make real-time data collection, analysis, and rapid decision-making possible for manufacturing systems. Edge computing processes data closer to where it is generated before sending data to the cloud. That means critical decisions are made faster.
The most obvious trend is AI and ML. Japan is adopting AI-based machinery and plant network optimization at 63%. That’s significantly higher than the global rate of 40% adoption as reported by Markets & Markets. AI and ML are having an impact everywhere, of course, but their use in edge computing means industrial systems can make autonomous, accurate, real-time decisions without human intervention. That moves us all closer to the machine economy, where machines communicate and make decisions independently.
Japan is the second largest global market for industrial robotics, second only to China. Its robotics usage is due to Japan’s manufacturing infrastructure and leadership in automation technologies. One reason for the growth in automation and robotics is Japan’s aging population and declining birthrate, leading to a shortage of Japanese workers. However, a bottleneck for the introduction of industrial robots into new customers is the time required for teaching the system. Software solutions via a DevOps environment using AI are an important element in reducing this teaching time.
