Big Data Analytics in Semiconductor and Electronics Market by Component (Software and Services), Analytics Tool (Dashboard & Data Visualization, Data Mining & Warehousing, Self-Service Tools, Reporting, and Others), Application (Customer Analytics, Marketing Analytics, Supply Chain Analytics, Pricing Analytics, and Workforce Analytics, and others), Usage (Fault Detection & Classification, Predictive Maintenance, Virtual Meterology, Process Optimization, Yield Prediction, and Others) and End User (Semiconductor and Electronics) - Global Opportunity Analysis and Industry Forecast, 2023–2030
Industry: ICT & Media | Publish Date: 13-Apr-2023 | No of Pages: 425 | No. of Tables: 298 | No. of Figures: 270 | Format: PDF | Report Code : N/A
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Market Overview
The global Big Data Analytics in Semiconductor and Electronics Market size was valued at USD 22.80 billion in 2022, and is predicted to reach USD 50.88 billion by 2030, with a CAGR of 9.7% from 2023 to 2030. Big data analytics is a method to extract useful information from large sets of structured and unstructured data. This information includes market trends, hidden patterns, correlations, and other insights. The use of cloud-based big data analytics in semiconductor and electronics companies helps in determining the purity of a sample to design new semiconductor equipment.
An Increase in the Adoption of Big Data Analytics Software Drives the Market Growth
A large number of semiconductor & electronics organizations are increasingly investing in big data and business analytics tools to drive the revenue growth and improve service efficiencies. This factor, in turn, fuels the adoption of big data analytics. Moreover, big data analytics is adopted by senior executives of many semiconductor companies to resolve their problems, which boosts the market growth.
The Growing Trend of Edge Computing Propels the Market Growth
There is an increase in the number of connected IoT devices, owing to the surging adoption of machine learning (ML), Internet of Things (IoT), and artificial intelligence (AI). According to the International Data Corporation (IDC), 152,200 IoT devices are expected to connect per minute by 2025. An increase in the requirement for connected devices accelerates the execution of edge computing.
The Rise in Cyber Security Concerns Acts as a Restraint of the Market Growth
The rise in the number of cyber security threats that includes phishing attacks, Man in the Middle (MTM) attacks, Emotet, malware attacks, and others are restraining the growth of the big data analytics in semiconductor and electronics industry.
The Growth in Investments to Leverage AI Technology Creates Ample Growth Opportunity
An increase in reliance on digital technology and the advent of Industry 4.0 are creating tremendous opportunities for business expansion. The rise in the implementation of artificial intelligence (AI) technology is transforming the modern business environment by integrating workflow management tools, trend forecasting, and other innovations. In addition, owing to the growth in the number of applications and simple deployment methods, governments across various countries turned their attention to AI technology and increased their investments. This, in turn, creates new growth opportunities.
Geographical Analysis
North America holds the lion’s share in the global big data analytics in semiconductor and electronics market report at present, and is expected to continue its dominance during the forecast period. This is due to the surge in penetration of smartphones, wearable devices, and other smart-connected devices. In addition, digital transformation across numerous industry verticals and the rise in the integration of various technologies such as big data & analytics and AI present many opportunities for growth in the region. On the other hand, Europe is expected to show a steady growth of the market, due to increase in adoption of big data analytics software by various organizations to avail faster decision-making capabilities and gain a competitive advantage.
Competitive Landscape
Various market players operating in the data science in semiconductor industry include Amazon Web Services, Alphabet, Inc., Dell Technologies, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute, Inc., Teradata Corporation, and TIBCO Software, Inc. These market players are adopting various strategies such as product launches and partnerships across various regions to maintain their dominance in the market.
For instance, in October 2022, Oracle launched Oracle Network Analytics Suite. This new cloud-native portfolio of analytics solutions combined the network function data with technologies such as machine learning and AI to help operators in automating decisions. Also, in September 2022, Dell Technologies announced a partnership with Deep North. This partnership was aimed at providing retailers with real-time insights to understand human behavior and the customer journey in the retail environment in a better manner. Moreover, in August 2022, Teradata launched a cloud-native platform named as VantageCloud Lake. It was designed to enable a wider use of data analytics across organizations with less cost.
Key Benefits
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The big data analytics in semiconductor and electronics market report provides the quantitative analysis of the current market and estimations from 2023 to 2030. This analysis assists in identifying the prevailing market opportunities to capitalize on.
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The study comprises of a detailed analysis of the big data analytics in semiconductor and electronics market trends, including the current and future trends for depicting the prevalent investment pockets in the market.
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The information related to key drivers, restraints, and opportunities and their impact on the global market is provided in the report.
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The competitive analysis of the market players along with their market share in the market is mentioned.
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The SWOT analysis and Porter’s Five Forces model are elaborated in the study.
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The value chain analysis of the market provides a clear picture of the stakeholders’ roles.
Big Data Analytics in Semiconductor and Electronics Market Key Segments
By Component
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Software
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Services
By Analytics Tool
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Data Mining & Warehousing
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Dashboard & Data Visualization
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Self-Service Tools
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Reporting Tools
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Others
By Application
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Customer Analytics
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Marketing Analytics
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Supply Chain Analytics
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Pricing Analytics
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Workforce Analytics
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Others
By Usage
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Fault Detection & Classification
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Predictive Maintenance
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Virtual Meterology
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Process Optimization
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Yield Prediction
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Others
By End User
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Semiconductor
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Electronics
By Region
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North America
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The U.S.
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Canada
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Mexico
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Europe
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The U.K.
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Germany
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France
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Spain
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Italy
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Netherlands
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Denmark
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Finland
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Norway
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Sweden
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Russia
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Rest of Europe
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Asia-Pacific
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China
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Japan
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India
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Australia
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South Korea
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Thailand
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Singapore
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Rest of Asia-Pacific
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Rest of the World
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Latin America
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Middle East
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Africa
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Report Scope and Segmentation
|
Parameters |
Details |
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Market Size in 2023 |
USD 26.62 Billion |
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Revenue Forecast in 2030 |
USD 50.88 Billion |
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Growth Rate |
CAGR of 9.3% from 2022 to 2030 |
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Analysis Period |
2022–2030 |
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Base Year Considered |
2022 |
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Forecast Period |
2023–2030 |
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Market Size Estimation |
Billion (USD) |
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Growth Factors |
Increase in the adoption of big data analytics software by different organizations Growing trend of edge computing |
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Countries Covered |
26 |
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Companies Profiled |
10 |
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Market Share |
Available for 10 companies |
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Customization Scope |
Free customization (equivalent to up to 80 analysts’ working hours) after purchase. Addition or alteration to country, regional & segment scope. |
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Pricing and Purchase Options |
Avail customized purchase options to meet your exact research needs. |
Key Players
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Amazon Web Services
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Alphabet, Inc.
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Dell Technologies
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IBM Corporation
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Microsoft Corporation
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Oracle Corporation
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SAP SE
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SAS Institute, Inc.
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Teradata Corporation
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TIBCO Software, Inc
At Next Move Strategy Consulting, we understand that insightful market research is the cornerstone of successful business decisions. That's why we employ a robust and multifaceted approach, combining various methodologies to deliver the most accurate and actionable data for our clients.
Research Landscape
We navigate the world of research with two primary approaches:
Qualitative Approach
Our qualitative research methodologies involve immersive techniques such as in-depth interviews, focus groups, and observational studies. By engaging directly with individuals and stakeholders, we uncover valuable insights that quantitative data alone may overlook.
Quantitative Research
In tandem with qualitative methodologies, NMSC leverages the power of Quantitative Research to provide a robust foundation of numerical insights. Through systematic data collection and analysis, we quantify patterns, preferences, and market trends, offering a comprehensive view of the business landscape.
Our quantitative research approach employs diverse tools, including surveys, experiments, and statistical modelling. These methodologies enable us to gather data from a large and representative sample, ensuring the statistical significance of our findings. By employing structured questionnaires and standardized data collection methods, we guarantee the reliability and validity of the information we present to our clients.
Quantitative research is particularly effective in measuring the prevalence of trends, assessing market size, and gauging the impact of various factors on consumer behavior. The numerical precision attained through this approach equips our clients with actionable insights, facilitating data-driven decision-making and strategy formulation.
Our Specialized Toolbox for Industry-Specific Market Research
We deploy a specialized arsenal of techniques tailored to meet your unique requirements. Here's a glimpse into our comprehensive toolbox:
Information Procurement
The stage entails acquiring market data or relevant information through various sources and methodologies.
Market Research Approach
We utilize both top-down and bottom-up approaches in market research analysis to achieve a comprehensive understanding of the market dynamics, leveraging the broad perspective of industry trends and macroeconomic factors alongside detailed insights from specific segments and individual companies.
Porters Five Forces Analysis
We conduct Porter's Five Forces analysis to evaluate the competitive landscape of an industry, providing us with insights into factors that affect profitability and strategic positioning.
SWOT Analysis
We conduct SWOT analysis to understand market trends, identify potential threats, capitalize on opportunities, and assess our strengths and weaknesses.
Forecasting
We utilize a forecasting model to predict future consumption by considering parameters like population, economics, regulations, market competition, drivers, constraints, technology, and pricing. We also employ statistical techniques such as multilinear regression, exponential smoothing, moving average, ARIMA, and Monte Carlo simulations for accurate predictions. In econometric forecasting, we analyzed short-term and long-term event impacts, attributing values based on regulatory frameworks, economic factors, and market events.
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