ABB Launches Three New Robot Families Targeted at Mid-Sized Asian Manufacturers to Accelerate Smart Automation Adoption

7 November 2025

ABB, one of the world’s leading suppliers of industrial robotics and automation solutions, announced today the launch of three new robot families specially engineered for mid-sized manufacturers across the Asia-Pacific region. The new series—Lite+, PoWa, and an upgraded IRB1200—are tailored to cater to the needs of electronics, metalworking, and food and beverage sectors, delivering rapid deployment, simplified programming, and dramatically reduced total cost of ownership. ABB revealed that these robots can be operational in factories in under 60 minutes, enabling quick process automation and flexible scaling for small and medium-sized enterprises (SMEs) throughout Asia.

As manufacturing dynamics evolve rapidly post-pandemic, the competitive environment in Southeast Asia now demands robust automation strategies even from factories without the capital to invest in complex, large-scale systems. ABB’s pricing model reflects this inclusivity, with the new robots available at entry points ranging from USD 20,000 to USD 100,000. With intuitive programming powered by voice recognition and task observation, the robots do not require advanced technical expertise for configuration, making them accessible to firms with limited digital resources or automation talent. This transformation aligns with the rising trend of ‘democratized automation’, a strategy that has gained significant traction among growing SMEs looking to counteract rising labor costs, supply chain disruptions, and changing export markets.

The Asian region, and particularly Southeast Asia, is witnessing a surge in automation adoption, as evidenced by recent market research. According to IDC and Rockwell Automation reports, over 60% of ASEAN-based manufacturers plan to increase their investments in robotics and AI-assisted systems by 2026. ABB’s latest innovations directly support this momentum, especially for countries like Vietnam, Thailand, Malaysia, and Indonesia, where mid-sized firms constitute a critical backbone of the manufacturing sector. With manufacturing hubs actively seeking scalable, flexible, and cost-effective solutions, ABB’s Shanghai-based production of these robots not only allows for significant cost efficiencies but also bolsters supply chain resilience and responsiveness within the region.

Sami Atiya, President of ABB’s Robotics & Discrete Automation Business Area, commented, “With our new robot families, we are not only expanding what is already the most comprehensive and integrated offering in the market, but we are helping new industries and customers automate with new mid-market value propositions.” This strategic shift is part of ABB’s broader plan to spin off its Robotics & Discrete Automation business by mid-2026, further intensifying the company’s focus on Asian market penetration and mid-tier customer engagement.

Industry analysts emphasize that initiatives such as Thailand’s "Productivity 5.0" and Singapore’s "Smart Industry Readiness Index" (SIRI) highlight the urgency for scalable automation platforms that can be adopted without complex overhauls. ABB’s new robots are designed precisely for such needs, targeting manufacturers whose biggest challenge is accessing affordable, deployable automation amid growing competitive pressure. The pivot toward circular manufacturing, digital twin infrastructure, and AI-driven process control in factories further illustrates the convergence of sustainability and technology—where automation is no longer a cost center but a critical driver of differentiation and productivity.

In summary, ABB’s announcement heralds a transformative phase for Asian manufacturing, bringing next-generation automation within reach for thousands of regional suppliers and mid-sized factories. As the region intensifies its march toward Industry 4.0, ABB’s democratized robot families are set to play a pivotal role in shaping the future of smart, sustainable, and competitive manufacturing ecosystems.