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Asia-Pacific Big Data Analytics in Semiconductor & Electronics Market Expected to Reach $14.83 Billion by 2027

 
2022
Asia-Pacific Big Data Analytics in Semiconductor & Electronics Market

Report Code : A08683

quote China dominated the Asia-Pacific big data analytics in semiconductor & electronics market in 2019, which is attributed to surge in demand for digital transformation across end users and increase in convergence of different technologies, such as big data & analytics and artificial intelligence (AI), which have created an impact on the country and managed to increase its IT budget. Moreover, surge in need to manage massive volume of data generated by organizations due to technological advancements in data collection, visualization, and analytics drives growth of the big data analytics in semiconductor & electronics market. quote

Rachita Rake
Research Analyst, ICT at Allied Market Research

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According to a recent report published by Allied Market Research, titled, “Asia-Pacific big data analytics in semiconductor & electronics market by Component, Organization Size, End User, and Industry Vertical: Opportunity Analysis and Industry Forecast, 2020-2027,” The Asia-Pacific big data analytics in semiconductor & electronics market size was valued at $7,486.00 million in 2019, and is projected to reach $14,839.00 million by 2027, growing at a CAGR of 9.2% from 2020 to 2027.

Big data analytics is a method by which companies examine large set of data for uncovering useful information such as market trends, customer preference, discover hidden patterns, and various unknown facts from the data to enhance their decision-making capability. Furthermore, multiple organizations are adopting big data analytics to enhance their profit, increase their analytics skills, increase & manage yield, and improve the risk management capability. Big data analytics further helps businesses to better understand the information that is important for organizations for fault detection, predictive maintenance, wafer testing, and yield management.

In addition, increase in demand for cloud-based big data analytics software among enterprises positively impacts the growth of the market. However, high implementation cost and dearth of skilled workforce are expected to hamper the market growth. On the contrary, 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. 

In 2019, the Asia-Pacific big data analytics in semiconductor & electronics market share was dominated by the solution segment and is expected to maintain this trend during the forecast period as most of the organizations have started adopting big data and business analytics solutions to manage the massive volume of data being generated for meaningful insights and better informed decisions. Moreover, number of companies are focusing majorly on creating novel opportunities for growth and revenue generation, thereby increasing the preference for big data analytics across semiconductor industry. However, the services segment is expected to witness the highest growth owing to increase in the adoption of services among end users, as this service ensures effective functioning of software and platforms throughout the process. Furthermore, countries such as South Korea, China, Japan, Taiwan, and Singapore serve as the hub for manufacturing of electronics assembly and semiconductor parts, which boosts the adoption of big data analytics in electronics and semiconductors industry, thus increasing the demand for services in these countries.

On the basis of deployment model, on-premise deployment model dominated the Asia-Pacific big data analytics in semiconductor & electronics market in 2019, and is expected to maintain its dominance in the upcoming years as this type of deployment mode is used to gather, display, and organize important business data using company’s own IT infrastructure, which allows them to keep the data secure. For instance, in May 2019, Microsoft Corporation released new edition of its big data analytics solution, which is a Microsoft Power BI-embedded platform for on-premise deployment mode. This solution will help manufacturing companies as well as electronic manufacturers review huge data generated from various processing. However, the cloud-based deployment segment is expected to witness highest growth during the Asia-Pacific big data analytics in semiconductor & electronics market forecast period attributed to rise in adoption of cloud-based big data analytics among both large as well as mid-sized enterprises as they facilitate enterprises with superior control over access to application and sensitive information from distant locations.

Post COVID-19, the Asia-Pacific big data analytics in semiconductor & electronics market size was valued at $8,032 million in 2019, and is projected to reach $14,839 million by 2027, growing at a CAGR of 9.2% 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 shutdown of travel across the world to prevent the transmission of virus. This has affected the supply chains of several electronics & semiconductor companies. However, the big data analytics in semiconductor & electronics market is projected to prosper 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, increase in volume of data generated by different business processes and the need to manage this data are the key factors driving the growth of the Asia-Pacific big data analytics in semiconductor & electronics industry.

Key Findings Of The Study

  • By component, in 2019, the solutions segment dominated the Asia-Pacific big data analytics in semiconductor & electronics market. However, the services segment is expected to exhibit significant growth during the forecast period.
  • Depending on deployment mode, on-premise based solutions generated the highest revenue of APM market in 2019. However, the cloud-based segment is expected to witness highest growth rate in the near future.
  • On the basis of end user, the electronics segment accounted for the highest revenue in 2019, however, the semiconductor segment is expected to witness highest growth rate in the forecasted period.
  • On the basis of analytical tools, the dashboard & data visualization tools accounted for the highest revenue in 2019, however, the self-service tools segment is expected to witness highest growth rate in the forecasted period.
  • Region wise, the Asia-Pacific big data analytics in semiconductor & electronics market was dominated by China. However, Vietnam is expected to witness significant growth in the upcoming years. 

Some of the key Asia-Pacific big data analytics in semiconductor & electronics industry players profiled in the report include 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.  This study includes market trends, Asia-Pacific big data analytics in semiconductor & electronics market analysis, and future estimations to determine the imminent investment pockets.

 

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quote Asia-Pacific Big Data Analytics In Semiconductor & Electronics Market By Component (Solutions and Services), Deployment Mode (On-Premise and Cloud), End User (Semiconductor and Electronics), Analytical Tools (Dashboard and Data Visualization, Reporting, Self-Service Tools, Data Mining and Warehousing, and Others), Application (Customer Analytics, Supply Chain Analytics, Marketing Analytics, Pricing Analytics, Workforce Analytics, and Others), Usage (Sales & Marketing, Fault Detection & Classification, Predictive Maintenance, Virtual Meterology, Process Optimization, Yield Prediction, and Others) : Global Opportunity Analysis and Industry Forecast, 2020-2027 quote

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