With the rapid rise of artificial intelligence (AI), the healthcare industry is undergoing a disruptive transformation. AI is significantly improving diagnostic accuracy and treatment efficiency while profoundly redefining healthcare professionals’ roles and patient experiences. A comprehensive understanding of the core technologies and clinical applications behind this transformation is essential for grasping the future trends and strategic directions of smart healthcare.

In 2025, the global healthcare industry is entering a critical period of rapid technological innovation and profound market transformation. While facing multiple challenges such as labor shortages, rising costs, and policy uncertainties, the industry is also embracing growth opportunities driven by cutting-edge technologies like artificial intelligence, regenerative medicine, and bioprinting. With continued active investment in health tech, the medical market is demonstrating strong resilience, painting a new blueprint for the future.

For over a century, the printing industry has been regarded as a relatively mature and stable sector. However, as market demand diversifies and the wave of digitalization accelerates, printing is undergoing a profound transformation. In the era of Industry 4.0, intelligence and automation have become the keywords of competitiveness. From AI (Artificial Intelligence) to IoT (Internet of Things), and the rise of post-press automation, these technologies are quietly reshaping every step of the printing process. Printing is no longer just about reproducing text and images; it is evolving into an era of “smart manufacturing” that is more efficient, precise, and environmentally friendly.

In 2025, the global healthcare industry is experiencing a profound revolution, fueled by the deep integration of digital technology and AI. As medical service models rapidly evolve, institutions are adopting innovations to enhance diagnostic accuracy, treatment efficiency, and patient experience while also controlling costs. This article analyzes the key drivers, applications, and future challenges in the 2025 healthcare market, offering a comprehensive insight into industry trends and growth potential.

The global healthcare industry is undergoing unprecedented changes. From shifts in demographics to the rise of new technologies, everything is reshaping the future of healthcare. This article will take you on a deep dive into the key challenges, innovative trends, and future potential of the global healthcare industry.

Traditionellt, the medical field often treated patients using a "one-size-fits-all" approach, which overlooks the unique genetic and physiological differences of each individual. Now, with the rapid integration of biomedicine and digital technology, Personalized Medicine is sparking a medical revolution. At the core of this transformation is a shift in focus from treating diseases to caring for each unique individual, ushering in a new era of customized health management. Of course, this also brings challenges such as privacy protection, data security, and unequal resource allocation, prompting the industry to continuously innovate and improve in both technology and policy.

In the rapidly developing digital era, healthcare is being profoundly transformed by Artificial Intelligence (AI), the Internet of Things (IoT), and wearable devices. This is not just a technological upgrade; it is akin to the "iPhone moment" that disrupted traditional healthcare services and doctor-patient interactions, opening a new chapter in health management. Historically, medicine has been a "passive" journey fraught with uncertainty and high barriers. The powerful rise of AI is now painting a new blueprint for the global healthcare industry, steering health management toward a smarter and more personalized future.

Post-pandemic, remote and hybrid work models have firmly become the “new normal.” Employee expectations for flexibility remain high, and many organizations continue to embrace hybrid operations to boost efficiency and satisfaction. Against this backdrop, enabling remote collaboration that’s clear, high-quality, and easy to use has become a business imperative.

In the current wave of Industry 4.0, Artificial Intelligence (AI) has become the core force driving the transformation of manufacturing, and the machine tool industry is no exception. This is not just a technological upgrade but a paradigm shift from “automation” to “autonomy.” As AI technologies continue to mature and expand their application scenarios, machine tools are moving into a new stage of smart manufacturing and autonomous learning, comprehensively reshaping the industry model from design and scheduling to maintenance and inspection.

With increasing industrial automation worldwide, CNC rotary tables equipped with 4- and 5-axis capabilities have seen substantial adoption—particularly in applications requiring high precision and heavy load handling. These “smart turntables” enhance tool efficiency, machining accuracy, and production rhythm. According to Verified Market Reports, the global CNC rotary table market was valued at US $1.5 billion in 2024, projected to reach US $2.8 billion by 2033 at a 7.5% CAGR.

The textile industry is one of Taiwan's major industries, covering a wide range from raw material procurement to end consumption. However, this large and complex supply chain has accumulated long-standing issues, such as unclear labor rights, environmental degradation, lack of transparency, and unclear product origins. As consumer demand for sustainable products increases, improving supply chain transparency and ensuring product quality has become a significant challenge.

As the AI era unfolds, organizations worldwide are accelerating their server infrastructure and data center expansion to meet growing demands for computing and storage. The rise of AI model training, edge computing, and cloud services is driving an unprecedented surge in server deployments. Yet, while cybersecurity software continues to evolve, physical security often lags behind. Research shows that many data breaches stem not from sophisticated external hacks, but from unauthorized physical access—often by insiders or unvetted personnel. To protect critical AI infrastructure, investing in high-security server cabinet locks is no longer optional—it’s essential to a robust data center security strategy.

Utilizing machine learning and neural networks, artificial intelligence (AI) plays a crucial role in enabling the autonomous operation of self-driving cars. These vehicles leverage a combination of sensors, cameras, radar, and AI to navigate between destinations without the need for human intervention. For a car to be considered fully autonomous, it should demonstrate the capability to independently navigate predetermined routes without human input, even on roads that have not been specifically modified for autonomous vehicle use.

With the global economic development, the demand of the consumer market has driven the vigorous growth of the textile industry. However, under the business model of production-based sales, excessive production has not only caused environmental pollution but has also caused unnecessary waste of resources. Over the past few years, this has led the United Nations and the European Union, to begin to advocate "sustainability" and "environmental protection" as the focus of global development for the next 10 years.

To realize the smart city of the future, it is indispensable to build a safer and more efficient traffic environment, and smart vehicles with networking and various advanced functions are the key.

With the rapid development of the automotive industry in smart driving, safety assistance, automotive electronics, and human-machine interface-related technologies, the integration of virtual and real superimposed displays, driver monitoring systems (DMS), interactive functions, Internet of Things (IoT) of the smart cockpit system have become the current trend.

With the rise of global environmental protection awareness, the improvement of process efficiency and pollution reduction of plastic products have become important issues for the rubber and plastic industry. In response to the shortage of workers and the reduction of personnel contact, mechanical automation and cloud services have become the new normal in the industry.

The image recognition function of artificial intelligence (AI) is becoming more and more powerful. Face recognition, license plate recognition, and object recognition are not uncommon. In the fields of smart manufacturing and warehousing logistics, more and more manufacturers are beginning to introduce AI technology into more special applications.

The rising trend of e-commerce and retail online shopping has directly led to the improvement of distribution performance. In addition to the continuous expansion of the operating territory of local distribution companies, offline retail and mass stores have begun to carry out a series of measures to shorten delivery time and improve service quality.

Refers to the use of imaging, medical image processing technology, and other possible physiological and biochemical means, combined with computer analysis and calculation, to assist radiologists in finding lesions and improve the accuracy of diagnosis.