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Big Data Analytics in Semiconductor & Electronics Market By Component, By End User, By Analytics Tool, By Application, By Usage: Global Opportunity Analysis and Industry Forecast, 2021-2031

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    Report

  • 482 Pages
  • October 2022
  • Region: Global
  • Allied Market Research
  • ID: 5214842
UP TO OFF until Jan 30th 2025
Big data and business analytics refer to the process of gathering useful information from large set of structured and unstructured data to discover hidden patterns and analyze real-time information. In addition, big data analytics is majorly adopted by analysts and business users for faster and better decision-making using data that is unstructured & previously inaccessible to improve operational efficiencies & productivity, yield management, and reduce costs in semiconductor & electronics industry. In the semiconductor and electronics industry, it offers various benefits such as risk management, product development & innovations, quicker & better decision-making within organizations, and improved customer experience.

Surge in adoption of big data analytics software by various organizations to facilitate enhanced & faster decision-making and to provide competitive advantage by analyzing and acting upon information in a timely manner significantly boosts the growth of the global big data analytics in semiconductor & electronics market. In addition, increase in demand for cloud-based big data analytics software 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, rise in adoption of IoT devices coupled with the ongoing Industry 4.0 trend, 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.

The global big data analytics in semiconductor & electronics market is segmented into component, end user, analytics tool, application, and region. In terms of component, the market is fragmented into software and services. Depending on end user, it is bifurcated into semiconductor and electronics. On the basis of analytics tool, it is categorized into dashboard & data visualization, data mining & warehousing, self-service tools, reporting, and others. By application, it is segregated into customer analytics, supply chain analytics, marketing analytics, pricing analytics, workforce analytics, and others. By Usage, the market is segmented into sales & marketing, fault detection & classification, predictive maintenance, virtual meterology, process optimization, yield prediction, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players profiled in the big data analytics in semiconductor & electronics market analysis are Amazon Web Services, Cisco Systems, Inc., Dell EMC, Dr yield software & solutions GmbH, Galaxy semiconductor Inc., IBM corporation, Kx systems, Microsoft corporation, Onto innovation Inc., Optimalplus Ltd., Qualtera (Synopsys, Inc. ), Rapidminer Inc., SAP SE, SAS Institute Inc., Splunk Inc., TIBCO Software Inc., XDM technology co., Ltd., and YieldHub. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.

KEY BENEFITS FOR STAKEHOLDERS

  • The study provides an in-depth analysis of the global big data analytics in semiconductor & electronics market forecast along with the current and future trends to explain the imminent investment pockets.
  • Information about key drivers, restraints, and opportunities and their impact analysis on global big data analytics in semiconductor & electronics market trend is provided in the report.
  • The Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
  • The quantitative analysis of the global big data analytics in semiconductor & electronics market from 2022 to 2031 is provided to determine the market potential.

Key Market Segments

By Component

  • Software
  • Services

By End User

  • Semiconductor
  • Electronics

By Usage

  • Sales and Marketing
  • Fault Detection and Classification
  • Predictive Maintenance
  • Virtual Meterology
  • Process Optimization
  • Yield Prediction
  • Others

By Analytics Tool

  • Dashboard and Data Visualization
  • Reporting
  • Self Service Tools
  • Data Mining and Warehousing
  • Others

By Application

  • Customer Analytics
  • Supply Chain Analytics
  • Marketing Analytics
  • Pricing Analytics
  • Workforce Analytics
  • Others

By Region

  • North America
  • U. S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Netherlands
  • Rest Of Europe
  • Asia-Pacific
  • China
  • Japan
  • South Korea
  • Australia
  • India
  • Rest Of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa

Key Market Players

  • Amazon Web Service Inc.
  • Cisco Systems, Inc.
  • Dell EMC
  • DR YIELD SOFTWARE AND SOLUTION GMBH
  • Galaxy Semiconductor Inc.
  • International Business Machines Corporation
  • Kx Systems, Inc.
  • Microsoft Corporation
  • Onto Innovation Inc.
  • OptimalPlus Ltd.
  • Qualtera Inc.

 

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Table of Contents

CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research Methodology
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY
2.1. Key findings of the study
2.2. CXO Perspective

CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top investment pockets
3.3. Porter’s five forces analysis
3.4. Top player positioning
3.5. Market dynamics
3.5.1. Drivers
3.5.2. Restraints
3.5.3. Opportunities
3.6. COVID-19 Impact Analysis on the market

CHAPTER 4: BIG DATA ANALYTICS IN SEMICONDUCTOR & ELECTRONICS MARKET, BY COMPONENT
4.1 Overview
4.1.1 Market size and forecast
4.2 Software
4.2.1 Key market trends, growth factors and opportunities
4.2.2 Market size and forecast, by region
4.2.3 Market analysis by country
4.3 Services
4.3.1 Key market trends, growth factors and opportunities
4.3.2 Market size and forecast, by region
4.3.3 Market analysis by country

CHAPTER 5: BIG DATA ANALYTICS IN SEMICONDUCTOR & ELECTRONICS MARKET, BY END USER
5.1 Overview
5.1.1 Market size and forecast
5.2 Semiconductor
5.2.1 Key market trends, growth factors and opportunities
5.2.2 Market size and forecast, by region
5.2.3 Market analysis by country
5.3 Electronics
5.3.1 Key market trends, growth factors and opportunities
5.3.2 Market size and forecast, by region
5.3.3 Market analysis by country

CHAPTER 6: BIG DATA ANALYTICS IN SEMICONDUCTOR & ELECTRONICS MARKET, BY ANALYTICS TOOL
6.1 Overview
6.1.1 Market size and forecast
6.2 Dashboard and Data Visualization
6.2.1 Key market trends, growth factors and opportunities
6.2.2 Market size and forecast, by region
6.2.3 Market analysis by country
6.3 Reporting
6.3.1 Key market trends, growth factors and opportunities
6.3.2 Market size and forecast, by region
6.3.3 Market analysis by country
6.4 Self Service Tools
6.4.1 Key market trends, growth factors and opportunities
6.4.2 Market size and forecast, by region
6.4.3 Market analysis by country
6.5 Data Mining and Warehousing
6.5.1 Key market trends, growth factors and opportunities
6.5.2 Market size and forecast, by region
6.5.3 Market analysis by country
6.6 Others
6.6.1 Key market trends, growth factors and opportunities
6.6.2 Market size and forecast, by region
6.6.3 Market analysis by country

CHAPTER 7: BIG DATA ANALYTICS IN SEMICONDUCTOR & ELECTRONICS MARKET, BY APPLICATION
7.1 Overview
7.1.1 Market size and forecast
7.2 Customer Analytics
7.2.1 Key market trends, growth factors and opportunities
7.2.2 Market size and forecast, by region
7.2.3 Market analysis by country
7.3 Supply Chain Analytics
7.3.1 Key market trends, growth factors and opportunities
7.3.2 Market size and forecast, by region
7.3.3 Market analysis by country
7.4 Marketing Analytics
7.4.1 Key market trends, growth factors and opportunities
7.4.2 Market size and forecast, by region
7.4.3 Market analysis by country
7.5 Pricing Analytics
7.5.1 Key market trends, growth factors and opportunities
7.5.2 Market size and forecast, by region
7.5.3 Market analysis by country
7.6 Workforce Analytics
7.6.1 Key market trends, growth factors and opportunities
7.6.2 Market size and forecast, by region
7.6.3 Market analysis by country
7.7 Others
7.7.1 Key market trends, growth factors and opportunities
7.7.2 Market size and forecast, by region
7.7.3 Market analysis by country

CHAPTER 8: BIG DATA ANALYTICS IN SEMICONDUCTOR & ELECTRONICS MARKET, BY USAGE
8.1 Overview
8.1.1 Market size and forecast
8.2 Sales and Marketing
8.2.1 Key market trends, growth factors and opportunities
8.2.2 Market size and forecast, by region
8.2.3 Market analysis by country
8.3 Fault Detection and Classification
8.3.1 Key market trends, growth factors and opportunities
8.3.2 Market size and forecast, by region
8.3.3 Market analysis by country
8.4 Predictive Maintenance
8.4.1 Key market trends, growth factors and opportunities
8.4.2 Market size and forecast, by region
8.4.3 Market analysis by country
8.5 Virtual Meterology
8.5.1 Key market trends, growth factors and opportunities
8.5.2 Market size and forecast, by region
8.5.3 Market analysis by country
8.6 Process Optimization
8.6.1 Key market trends, growth factors and opportunities
8.6.2 Market size and forecast, by region
8.6.3 Market analysis by country
8.7 Yield Prediction
8.7.1 Key market trends, growth factors and opportunities
8.7.2 Market size and forecast, by region
8.7.3 Market analysis by country
8.8 Others
8.8.1 Key market trends, growth factors and opportunities
8.8.2 Market size and forecast, by region
8.8.3 Market analysis by country

CHAPTER 9: BIG DATA ANALYTICS IN SEMICONDUCTOR & ELECTRONICS MARKET, BY REGION
9.1 Overview
9.1.1 Market size and forecast
9.2 North America
9.2.1 Key trends and opportunities
9.2.2 North America Market size and forecast, by Component
9.2.3 North America Market size and forecast, by End User
9.2.4 North America Market size and forecast, by Analytics Tool
9.2.5 North America Market size and forecast, by Application
9.2.6 North America Market size and forecast, by Usage
9.2.7 North America Market size and forecast, by country
9.2.7.1 U. S.
9.2.7.1.1 Market size and forecast, by Component
9.2.7.1.2 Market size and forecast, by End User
9.2.7.1.3 Market size and forecast, by Analytics Tool
9.2.7.1.4 Market size and forecast, by Application
9.2.7.1.5 Market size and forecast, by Usage
9.2.7.2 Canada
9.2.7.2.1 Market size and forecast, by Component
9.2.7.2.2 Market size and forecast, by End User
9.2.7.2.3 Market size and forecast, by Analytics Tool
9.2.7.2.4 Market size and forecast, by Application
9.2.7.2.5 Market size and forecast, by Usage
9.3 Europe
9.3.1 Key trends and opportunities
9.3.2 Europe Market size and forecast, by Component
9.3.3 Europe Market size and forecast, by End User
9.3.4 Europe Market size and forecast, by Analytics Tool
9.3.5 Europe Market size and forecast, by Application
9.3.6 Europe Market size and forecast, by Usage
9.3.7 Europe Market size and forecast, by country
9.3.7.1 UK
9.3.7.1.1 Market size and forecast, by Component
9.3.7.1.2 Market size and forecast, by End User
9.3.7.1.3 Market size and forecast, by Analytics Tool
9.3.7.1.4 Market size and forecast, by Application
9.3.7.1.5 Market size and forecast, by Usage
9.3.7.2 Germany
9.3.7.2.1 Market size and forecast, by Component
9.3.7.2.2 Market size and forecast, by End User
9.3.7.2.3 Market size and forecast, by Analytics Tool
9.3.7.2.4 Market size and forecast, by Application
9.3.7.2.5 Market size and forecast, by Usage
9.3.7.3 France
9.3.7.3.1 Market size and forecast, by Component
9.3.7.3.2 Market size and forecast, by End User
9.3.7.3.3 Market size and forecast, by Analytics Tool
9.3.7.3.4 Market size and forecast, by Application
9.3.7.3.5 Market size and forecast, by Usage
9.3.7.4 Italy
9.3.7.4.1 Market size and forecast, by Component
9.3.7.4.2 Market size and forecast, by End User
9.3.7.4.3 Market size and forecast, by Analytics Tool
9.3.7.4.4 Market size and forecast, by Application
9.3.7.4.5 Market size and forecast, by Usage
9.3.7.5 Spain
9.3.7.5.1 Market size and forecast, by Component
9.3.7.5.2 Market size and forecast, by End User
9.3.7.5.3 Market size and forecast, by Analytics Tool
9.3.7.5.4 Market size and forecast, by Application
9.3.7.5.5 Market size and forecast, by Usage
9.3.7.6 Netherlands
9.3.7.6.1 Market size and forecast, by Component
9.3.7.6.2 Market size and forecast, by End User
9.3.7.6.3 Market size and forecast, by Analytics Tool
9.3.7.6.4 Market size and forecast, by Application
9.3.7.6.5 Market size and forecast, by Usage
9.3.7.7 Rest of Europe
9.3.7.7.1 Market size and forecast, by Component
9.3.7.7.2 Market size and forecast, by End User
9.3.7.7.3 Market size and forecast, by Analytics Tool
9.3.7.7.4 Market size and forecast, by Application
9.3.7.7.5 Market size and forecast, by Usage
9.4 Asia-Pacific
9.4.1 Key trends and opportunities
9.4.2 Asia-Pacific Market size and forecast, by Component
9.4.3 Asia-Pacific Market size and forecast, by End User
9.4.4 Asia-Pacific Market size and forecast, by Analytics Tool
9.4.5 Asia-Pacific Market size and forecast, by Application
9.4.6 Asia-Pacific Market size and forecast, by Usage
9.4.7 Asia-Pacific Market size and forecast, by country
9.4.7.1 China
9.4.7.1.1 Market size and forecast, by Component
9.4.7.1.2 Market size and forecast, by End User
9.4.7.1.3 Market size and forecast, by Analytics Tool
9.4.7.1.4 Market size and forecast, by Application
9.4.7.1.5 Market size and forecast, by Usage
9.4.7.2 Japan
9.4.7.2.1 Market size and forecast, by Component
9.4.7.2.2 Market size and forecast, by End User
9.4.7.2.3 Market size and forecast, by Analytics Tool
9.4.7.2.4 Market size and forecast, by Application
9.4.7.2.5 Market size and forecast, by Usage
9.4.7.3 South Korea
9.4.7.3.1 Market size and forecast, by Component
9.4.7.3.2 Market size and forecast, by End User
9.4.7.3.3 Market size and forecast, by Analytics Tool
9.4.7.3.4 Market size and forecast, by Application
9.4.7.3.5 Market size and forecast, by Usage
9.4.7.4 Australia
9.4.7.4.1 Market size and forecast, by Component
9.4.7.4.2 Market size and forecast, by End User
9.4.7.4.3 Market size and forecast, by Analytics Tool
9.4.7.4.4 Market size and forecast, by Application
9.4.7.4.5 Market size and forecast, by Usage
9.4.7.5 India
9.4.7.5.1 Market size and forecast, by Component
9.4.7.5.2 Market size and forecast, by End User
9.4.7.5.3 Market size and forecast, by Analytics Tool
9.4.7.5.4 Market size and forecast, by Application
9.4.7.5.5 Market size and forecast, by Usage
9.4.7.6 Rest of Asia-Pacific
9.4.7.6.1 Market size and forecast, by Component
9.4.7.6.2 Market size and forecast, by End User
9.4.7.6.3 Market size and forecast, by Analytics Tool
9.4.7.6.4 Market size and forecast, by Application
9.4.7.6.5 Market size and forecast, by Usage
9.5 LAMEA
9.5.1 Key trends and opportunities
9.5.2 LAMEA Market size and forecast, by Component
9.5.3 LAMEA Market size and forecast, by End User
9.5.4 LAMEA Market size and forecast, by Analytics Tool
9.5.5 LAMEA Market size and forecast, by Application
9.5.6 LAMEA Market size and forecast, by Usage
9.5.7 LAMEA Market size and forecast, by country
9.5.7.1 Latin America
9.5.7.1.1 Market size and forecast, by Component
9.5.7.1.2 Market size and forecast, by End User
9.5.7.1.3 Market size and forecast, by Analytics Tool
9.5.7.1.4 Market size and forecast, by Application
9.5.7.1.5 Market size and forecast, by Usage
9.5.7.2 Middle East
9.5.7.2.1 Market size and forecast, by Component
9.5.7.2.2 Market size and forecast, by End User
9.5.7.2.3 Market size and forecast, by Analytics Tool
9.5.7.2.4 Market size and forecast, by Application
9.5.7.2.5 Market size and forecast, by Usage
9.5.7.3 Africa
9.5.7.3.1 Market size and forecast, by Component
9.5.7.3.2 Market size and forecast, by End User
9.5.7.3.3 Market size and forecast, by Analytics Tool
9.5.7.3.4 Market size and forecast, by Application
9.5.7.3.5 Market size and forecast, by Usage

CHAPTER 10: COMPANY LANDSCAPE
10.1. Introduction
10.2. Top winning strategies
10.3. Product Mapping of Top 10 Player
10.4. Competitive Dashboard
10.5. Competitive Heatmap
10.6. Key developments

CHAPTER 11: COMPANY PROFILES
11.1 Amazon Web Service Inc.
11.1.1 Company overview
11.1.2 Company snapshot
11.1.3 Operating business segments
11.1.4 Product portfolio
11.1.5 Business performance
11.1.6 Key strategic moves and developments
11.2 Cisco Systems, Inc.
11.2.1 Company overview
11.2.2 Company snapshot
11.2.3 Operating business segments
11.2.4 Product portfolio
11.2.5 Business performance
11.2.6 Key strategic moves and developments
11.3 Dell EMC
11.3.1 Company overview
11.3.2 Company snapshot
11.3.3 Operating business segments
11.3.4 Product portfolio
11.3.5 Business performance
11.3.6 Key strategic moves and developments
11.4 DR YIELD SOFTWARE AND SOLUTION GMBH
11.4.1 Company overview
11.4.2 Company snapshot
11.4.3 Operating business segments
11.4.4 Product portfolio
11.4.5 Business performance
11.4.6 Key strategic moves and developments
11.5 Galaxy Semiconductor Inc.
11.5.1 Company overview
11.5.2 Company snapshot
11.5.3 Operating business segments
11.5.4 Product portfolio
11.5.5 Business performance
11.5.6 Key strategic moves and developments
11.6 International Business Machines Corporation
11.6.1 Company overview
11.6.2 Company snapshot
11.6.3 Operating business segments
11.6.4 Product portfolio
11.6.5 Business performance
11.6.6 Key strategic moves and developments
11.7 Kx Systems, Inc.
11.7.1 Company overview
11.7.2 Company snapshot
11.7.3 Operating business segments
11.7.4 Product portfolio
11.7.5 Business performance
11.7.6 Key strategic moves and developments
11.8 Microsoft Corporation
11.8.1 Company overview
11.8.2 Company snapshot
11.8.3 Operating business segments
11.8.4 Product portfolio
11.8.5 Business performance
11.8.6 Key strategic moves and developments
11.9 Onto Innovation Inc.
11.9.1 Company overview
11.9.2 Company snapshot
11.9.3 Operating business segments
11.9.4 Product portfolio
11.9.5 Business performance
11.9.6 Key strategic moves and developments
11.10 OptimalPlus Ltd.
11.10.1 Company overview
11.10.2 Company snapshot
11.10.3 Operating business segments
11.10.4 Product portfolio
11.10.5 Business performance
11.10.6 Key strategic moves and developments
11.11 Qualtera Inc.
11.11.1 Company overview
11.11.2 Company snapshot
11.11.3 Operating business segments
11.11.4 Product portfolio
11.11.5 Business performance
11.11.6 Key strategic moves and developments

Executive Summary

According to this report, titled, 'Big Data Analytics in Semiconductor & Electronics Market,' the big data analytics in semiconductor & electronics market was valued at $18.7 billion in 2021, and is estimated to reach $47.2 billion by 2031, growing at a CAGR of 9.9% from 2022 to 2031.

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 Big Data Analytics in Semiconductor & Electronics 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 Big Data Analytics in Semiconductor & Electronics Market during the forecast period.

On the basis of analytics Tool, the dashboard & data visualization tools segment dominate the Big Data Analytics in Semiconductor & Electronics Market Share in 2021. This is attributed to rise in adoption of data visualization tools in various organizations to extract report from a diverse and rapid expansion of businesses. However, the reporting segment is expected to grow at the highest Big Data Analytics in Semiconductor & Electronics Market Size during the forecast period, owing to increase in complexity and size of financial data, limited capabilities of existing spreadsheet solutions, and rise in cost of compliance.

Region-wise, the big data analytics in semiconductor & electronics market size was dominated by North America in 2021, and is expected to retain its position during the forecast period, owing to rapid penetration advanced technologies such as big data & analytics and AI that influencing the North America regional market share. However, Asia-Pacific is expected to grow at the highest big data analytics in semiconductor & electronics market forecast period. This is due to rapid adoption of emerging technologies among various businesses and industrial sector and rise in adoption of smart manufacturing propel the growth of this Big Data Analytics in Semiconductor & Electronics Market in this region.

Rise in number of COVID-19 patients across the globe has led to a significant decrease in the adoption of big data and business analytics and preplanned investments, owing to the closing of work places & industries such as manufacturing for some period. The outbreak of the COVID-19 pandemic and political unrest & social strife in the U.S., Europe, and Asia-Pacific could cause a decrease in corporate spending on enterprise software and negatively affect the rate of growth of big data analytics business.

However, the COVID-19 pandemic has led to increased adoption of cloud technology to help consumers across big data analytics in semiconductor & electronics industry to combat against the pandemic situation. Furthermore, many companies are providing free and open data set tools to researchers and scientists for helping them to develop COVID-19 solutions at a faster pace.

In addition, post COVID-19, it is expected that big data and cloud technology will be preferred by various electronics companies to fight against such pandemic situations in future and to predict the possible situations before it happens. Predictive maintenance is expected to gain traction across this industry. In addition, owing to the outbreak of the COVID-19 pandemic, demand for big data and business analytics for different applications such as customer analytics and pricing analytics is expected to propel across semiconductor & electronics industry.

KEY FINDINGS OF THE STUDY

By Component, the software segment accounted for the largest Big Data Analytics in Semiconductor & Electronics Market Share in 2021.

On the basis of end user, the electronics segment accounted for the largest big data analytics in semiconductor & electronics market share in 2021.

By analytics tool, the dashboard and data visualization segment accounted for the largest big data analytics in semiconductor & electronics market share in 2021.

On the basis of application, the customer analytics segment accounted for the largest big data analytics in semiconductor & electronics market share in 2021.

Depending on usage, the predictive maintenance segment accounted for the largest big data analytics in semiconductor & electronics market share in 2021.

Region wise, North America generated highest revenue in 2021.

The key players that operate in the Big Data Analytics in Semiconductor & Electronics Market Analysis are Amazon Web Services, Cisco Systems, Inc., Dell EMC, Dr yield software & solutions GmbH, Galaxy semiconductor Inc., IBM corporation, Kx systems, Microsoft corporation, Onto innovation Inc., Optimalplus Ltd., Qualtera (Synopsys, Inc.), Rapidminer Inc., SAP SE, SAS Institute Inc., Splunk Inc., TIBCO Software Inc., XDM technology co., Ltd., and YieldHub. These players have adopted various strategies to increase their market penetration and strengthen their position in the Big Data Analytics in Semiconductor & Electronics Industry.

Companies Mentioned

  • Amazon Web Service Inc.
  • Cisco Systems, Inc.
  • Dell Emc
  • Dr Yield Software and Solution GmbH
  • Galaxy Semiconductor Inc.
  • International Business Machines Corporation
  • Kx Systems, Inc.
  • Microsoft Corporation
  • Onto Innovation Inc.
  • Optimalplus Ltd.
  • Qualtera Inc.

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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