Increase in demand for cloud-based big data analytics software among enterprises positively impacts the growth of the EMEA big data analytics in semiconductor & electronics market. high implementation cost and dearth of skilled workforce are expected to hamper the market growth. Conversely, increase in adoption of IoT devices coupled with the ongoing Industry 4.0 trend, use of big data analytics for semiconductor manufacturing, increase in need to gain better insights for business planning, and surge in adoption of social media analytics tools are expected to offer remunerative opportunities for the expansion of the market during the forecast period.
Key industry players – Amazon Web Services, Cisco systems, Inc., Dell EMC, International Business Machines Corporation, KX Systems, Inc., Microsoft Corporation, SAP SE, SAS Institute Inc., Splunk Inc., and TIBCO Software Inc.
The big data analytics in semiconductor & electronics market in EMEA size was valued at $3,178.0 million in 2019, and is projected to reach $5,756.5 million by 2027, growing at a CAGR of 7.9% from 2020 to 2027.
Big data analytics is a process examining large set of data to uncover useful information such as market trends, customer preference, discover hidden patterns, and various unknown facts from the data to enable organizations make informed business decisions. It uses advanced analytic techniques against large, diverse data sets, including structured, unstructured, and semi-structured data, from various sources, and in different sizes of terabytes to zettabytes. Multiple semiconductor and electronics organizations are using big data analytics to enhance their profit, increase their analytics skills, increase & manage yield, and improve the risk management capability. It helps businesses to better understand the information that is important for organizations for fault detection, predictive maintenance, wafer testing, and yield management.
On the basis of deployment model, the on-premise deployment model dominated the EMEA big data analytics in semiconductor & electronics market share in 2019, and is expected to maintain its dominance in the upcoming years, as on-premise data big data analytics software enables semiconductor and electronic manufacturing organizations to have control over security & other connectivity issues and improve the scalability, speed, reliability, and connectivity of organizations. However, the cloud-based deployment segment is expected to witness highest growth during the forecast period, as the cloud-based big data analytics solution does not involve capital cost as well as requires low maintenance, and hence can be most preferred by small- and medium-scale electronic and semiconductor companies.
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Post COVID-19, the EMEA big data analytics in semiconductor & electronics market size was valued at $3,372.7 million in 2020, and is projected to reach $5,756.5 million by 2027, growing at a CAGR of 7.9% from 2020 to 2027. The big data analytics in semiconductor & electronics market has witnessed considerable growth in past few years; however, due to the outbreak of the COVID-19 pandemic, the market is projected to witness a sudden downfall in 2020. This is attributed to implementation of lockdown by governments in majority of the countries, and the semiconductor and electronics industry has reduced the adoption of big data and business analytics along with the preplanned investments. This has affected the supply chains of several electronics & semiconductor companies. On the other hand, the industry is experiencing notable growth in the adoption of cloud computing to help consumers across semiconductor & electronics industry to combat against the pandemic. In addition, the big data analytics in semiconductor & electronics market is projected to exhibit significant growth in the upcoming years after the recovery from the COVID-19 pandemic. In addition, various organizations have initiated adopting cloud-based big data analytics to manage critical information of organizations as well in semiconductor manufacturing processes, thus creating lucrative opportunity for the market expansion during the forecast period. Furthermore, need to create meaningful insight from unused data and the need to manage this data are the key factors driving the growth of the market.
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