Big Data Analytics in Semiconductor and Electronics Global Market Report 2024

The big data analytics in semiconductor and electronics market size has grown strongly in recent years. It will grow from $20.01 billion in 2023 to $21.8 billion in 2024 at a compound annual growth rate (CAGR) of 8.9%. The expansion observed during the historical period can be attributed to several factors, including the escalating complexity of semiconductor designs, the rapid proliferation of Internet of Things (IoT) technologies, the heightened demand for faster time-to-market, initiatives focused on quality control and yield optimization, as well as the emphasis on energy efficiency and sustainability measures.

The big data analytics in semiconductor and electronics market size is expected to see strong growth in the next few years. It will grow to $30.81 billion in 2028 at a compound annual growth rate (CAGR) of 9%. The projected growth in the forecast period can be attributed to several key factors, including increased collaboration within the global semiconductor industry, rising demands for customization and personalization, growing emphasis on environmental and sustainability initiatives, adoption of digital twin technology, and heightened focus on cybersecurity measures. Major trends expected during this period encompass the utilization of blockchain for enhancing supply chain transparency, adoption of cross-domain collaboration platforms, development of edge AI chips, implementation of predictive maintenance techniques in manufacturing processes, and leveraging AI-driven design and optimization methodologies.

The anticipated increase in the penetration of wearable devices is set to drive the advancement of big data analytics within the semiconductor and electronics market. Wearable devices, compact electronic gadgets designed for body-worn use, equipped with sensors and connectivity features, are gaining prominence due to technological advancements, health trends, lifestyle integration, personalization, connectivity needs, and fashion considerations. These devices significantly contribute to big data analytics in the semiconductor and electronics sector by supplying valuable data for health monitoring, user behavior analysis, real-time monitoring, and predictive maintenance. Notably, data from Vicert, a US-based digital health solution software company, indicates that wearable device shipments reached 533.6 million in 2021, encompassing watches, hearing aids, and other assistive equipment. Projections suggest that by 2023, the wearables and earwear category will comprise approximately 105 million devices, underscoring the pivotal role of wearable device penetration in driving the growth of big data analytics in the semiconductor and electronics market.

Key players within the big data analytics sector in the semiconductor and electronics market are directing their efforts towards developing innovative solutions to gain competitive advantages. One such solution is Amazon EC2 C7g, introduced by Amazon.com, Inc., a US-based e-commerce company, in November 2022. Amazon EC2 C7g, powered by New AWS-designed chips, offers customers enhanced computing performance at reduced costs across a wide spectrum of workloads. Specifically, Hpc7g instances, featuring the latest AWS Graviton3E chips, deliver up to twice the floating-point performance compared to current C6gn instances and up to 20% higher performance than current Hpc6a instances, thus providing optimal price performance for AWS high-performance computing (HPC) workloads.

In June 2022, Altair Engineering Inc., a US-based software company, completed the acquisition of Concept Engineering for an undisclosed sum. This strategic acquisition is aimed at bolstering Altair's electronic system design suite by integrating Concept Engineering's advanced visualization technology. Concept Engineering, a US-based provider of electronic system visualization software with applications across various industries, adds value to Altair's offerings by enhancing visualization capabilities, thereby enriching the electronic system design process.

Major companies operating in the big data analytics in semiconductor and electronics market are Microsoft Corporation, Dell Inc, Amazon Web Services Inc., IBM Corporation, Cisco Systems Inc., Optimalplus Ltd., Broadcom Inc., SAP SE, Advanced Micro Devices Inc., ASML Holding NV, MediaTek Inc., Lam Research Corporation, Analog Devices Inc., KLA Corporation, Marvell Technology Group Ltd., Qualtera SAS, Synopsys Inc., Cadence Design Systems Inc., SAS Institute Inc., Splunk Inc., Silicon Laboratories Inc., Onto innovation Inc., TIBCO Software Inc., Rapidminer Inc., YieldHub, XDM technology co. Ltd., Mentor Graphics Corporation.

North America was the largest region in the big data analytics in semiconductor and electronics market in 2023. The regions covered in the big data analytics in semiconductor and electronics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the big data analytics in semiconductor and electronics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Big data analytics in the semiconductor and electronics sector involves employing sophisticated analytics techniques to analyze extensive and intricate datasets generated within the industry. These datasets originate from diverse sources such as manufacturing processes, supply chain operations, product testing, and customer feedback. The application of big data analytics is pivotal for companies in the semiconductor and electronics industry as it facilitates the utilization of data-driven insights to optimize operational efficiency, elevate product quality, foster innovation, and secure a competitive advantage in the market.

The primary components of big data analytics encompass software and services. Software refers to a set of programs or instructions enabling computers or electronic devices to execute specific functions. Various analytics tools within this domain include dashboard and data visualization, reporting, self-service tools, data mining and warehousing, along with other analytics tools serving diverse purposes such as sales and marketing, fault detection and classification, predictive maintenance, virtual metrology, process optimization, yield prediction, among others. These applications cater to customer analytics, supply chain analytics, marketing analytics, pricing analytics, workforce analytics, and various other applications utilized by end-users including semiconductor and electronics industries.

The big data analytics in the semiconductor and electronics research report is one of a series of new reports that provides big data analytics in the semiconductor and electronics market statistics, including the big data analytics in the semiconductor and electronics industry's global market size, regional shares, competitors with big data analytics in the semiconductor and electronics market share, detailed big data analytics in the semiconductor and electronics market segments, market trends and opportunities, and any further data you may need to thrive in the big data analytics in the semiconductor and electronics industry. This big data analytics in the semiconductor and electronics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The big data analytics in the semiconductor and electronics market includes revenues earned by entities by providing services such as predictive maintenance, yield optimization, and quality control. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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