Samsung Electronics, a global leader in the consumer electronics industry, has been facing increasing pressure from competitors like Apple and Xiaomi. This pressure has led to a strategic shift in the company’s focus, with a renewed emphasis on its core strengths and a deliberate effort to differentiate itself from rivals. Samsung’s strategy is centered around three key pillars: innovation, customer experience, and sustainability.
“We will focus on three key areas: digital transformation, sustainability, and innovation.”
This statement reflects a company’s commitment to strategic change and future-oriented growth. It signifies a shift from traditional, linear growth models to a more dynamic, adaptable approach. Digital transformation is a crucial element of this strategy.
The company has been actively involved in various research and development activities, including the development of new materials, energy storage technologies, and advanced robotics. Samsung has also been investing heavily in artificial intelligence (AI) and machine learning (ML), with a dedicated team focusing on developing cutting-edge AI models and algorithms. Samsung’s commitment to innovation is evident in its investment in the metaverse, with a dedicated team working on developing immersive experiences and virtual worlds.
The tech giant is focusing on expanding its robotics business, aiming to become a global leader in the field. The company is investing heavily in research and development, particularly in artificial intelligence (AI) and machine learning (ML). They are also focusing on developing new robotic technologies, such as collaborative robots (cobots) and autonomous mobile robots (AMRs).
This move aims to accelerate the growth of the tech giant’s overall business. The company has been working with external AI companies for a while now, but this transition marks a significant shift towards a more strategic and collaborative approach. This shift involves actively seeking out and collaborating with companies that are leading the field in AI technology.
