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Industry 4.0 is a concept that has attracted a lot of attention in the global marketplace since its emergence in 2012. Following this conceptual framework, manufacturing companies in various industries have embarked on a mission to transform their operations by deploying smart technologies. TrendForce’s ongoing coverage of smart manufacturing solutions indicates that investments in related hard- and software have been growing steadily. Furthermore, this market is seeing rising demand and a trend towards integrated solutions. TrendForce forecasts that the size of the global market for smart manufacturing solutions will surpass US$320 billion by 2020.
TrendForce’s latest research on the automotive electronics market finds that government policies worldwide to reduce carbon emissions have facilitated faster adoption of ICT-based solutions within the automotive industry. According to TrendForce’s analysis, the global average value of analog ICs and power transistors for power management will come to US$209 per vehicle in 2017, an increase of 11% from US$188 in 2016. Furthermore, the automotive industry is projected to account for 23% of the total worldwide demand for power transistors this year. Automotive has become the second largest application for power transistors, while the industrial application is the leading source of market demand for the product.
The introduction of the deep Learning (DL) approach to machine learning has led to incredible developments in artificial intelligence (AI) over the past few years, attracting interests from cloud computing and semiconductor chip businesses. According to TrendForce’s latest research on AI, the three forces that drive advances in machine learning are software, hardware and data. AI systems based on DL requires vast amounts of data to train their abilities such as identifying objects and processing requests. Therefore quantity and quality of data directly affects AI systems’ accuracy. As cloud and software platform companies compete to bring AI solutions for different applications, ownership and access to data will become crucial to their strategies.
Intel on March 13 announced that the company will purchase Mobileye, a global provider of advanced driver assistance system (ADAS). This deal is worth US$15.3 billion and is another indication that major semiconductor manufacturers are aggressively jockeying for a favorable position in the fast growing automotive electronics market. TrendForce states that after the merger, Intel will be able to combine its hardware products such as high-performance computing chips and IoT solutions with Mobileye’s image processing algorithms for autonomous driving systems. The deal gives Intel’s the potential to develop an autonomous driving solution that incorporates cloud computing. Furthermore, the deal strengthens Intel’s collaboration with BMW to bring self-driving cars to the market in 2021, when first wave of sales for such vehicles is anticipated to take place in major auto markets worldwide.
Development of AI systems and their applications will continue to revolve around voice and image recognition technologies in 2017. According to market research firm TrendForce, the global market value of voice recognition solutions is projected to grow from US$2.61 billion in 2016 to US$15.98 billion in 2021, with the CAGR in the forecast period at 43.64%. The main source of growth momentum will come from the widespread adoption of voice-based virtual assistants in various devices.
