Market Size – USD 1.11 Billion in 2020, Market Growth – at a CAGR of 33.1%, Market Trends – Rising adoption of automation in manufacturing industry.A key driving factor includes increasing application of big data analytics in manufacturing industry for demand forecasting. Increasing demand for asset optimization solutions is expected to further fuel growth of the global big data analytics in manufacturing market growth during the forecast period. Rising adoption of automation in manufacturing industry is also expected to propel global big data analytics in manufacturing market growth.
The global Big Data Analytics in Manufacturing Market market report provides information related to the major manufacturers and suppliers participating in this market. This report focuses on price analysis, total revenue, product portfolio, sales and distribution channels, profit margin, and financial position. It studies the Big Data Analytics in Manufacturing Market market in terms of technology and consumers. Market dynamics are revealed across multiple geographic segments. Research analysts have studied and analyzed the report based on key segments covering Big Data Analytics in Manufacturing Market market share, revenue, growth rate, and other factors driving the growth rate of the global Big Data Analytics in Manufacturing Market.
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Covid 19 analysis:
The current COVID-19 pandemic is expected to have an effect on the growth of the Big Data Analytics in Manufacturing Market industry majorly attributable to the movement restrictions and impact on the supply and demand due to the lockdowns. The COVID-19 pandemic has affected several sectors of the global market, and the Big Data Analytics in Manufacturing Market sector is expected to feel the impact of the pandemic. The economic slowdown and dynamic changes in the demands will further affect the growth of the industry. The report covers the impact analysis of the COVID-19 pandemic on the overall Big Data Analytics in Manufacturing Market industry.
Key Highlights of Report
Increasing adoption of big data analytics software for production forecasting and business performance measurement is driving revenue growth of the solution segment currently, which is expected to register a significantly high CAGR of 33.2% over the forecast period.
In terms of market share, the cloud-based segment is expected to lead among the other deployment segments in the global big data analytics in manufacturing market during the forecast period due to increasing implementation of cloud technology in manufacturing industry.
Increasing need to reduce the number of failures during production is expected to contribute to revenue growth of the predictive maintenance segment in the global big data analytics in manufacturing market during the forecast period.
Summary of the key points of the report:
Report Overview: This section provides data and information pertaining to the key market manufacturers, their product offerings, historical and future timelines considered, and market scope. It further highlights the principal market segments, including product types, application gamut, end-user industries, and regional analysis.
Company Profiles: This component of the report depicts the company profiles of the leading players participating in the Big Data Analytics in Manufacturing Market industry. The market value & volume, production capacity, product portfolios, and other vital aspects of these players have been assessed in this report.
Key players in the market include :
Key market participants include Microsoft Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., TIBCO Software Inc., Alteryx Inc., Fair Isaac Corporation, MicroStrategy Incorporated, and Angoss Software Corporation.
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Emergen Research has segmented the global big data analytics in manufacturing market on the basis of component, deployment, application, and region.
Component Outlook (Revenue, USD Billion; 2021–2028)
Deployment Outlook (Revenue, USD Billion; 2021–2028)
Application Outlook (Revenue, USD Billion; 2021–2028)
Tool Life-cycle Optimization
Supply Chain Management
Work Cell Optimization
Product Lifecycle Management (PLM)
Comprehensive Regional Analysis Covers the Following Regions:
North America (U.S., Canada, Mexico)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
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The global Big Data Analytics in Manufacturing Market report studies the worldwide market consumption rate in terms of value and volume.
It identifies the various sub-segments of the market structure.
It proffers information regarding the leading global manufacturers in this industry, describing their Big Data Analytics in Manufacturing Market value & share, sales volume, competitive analysis, SWOT analysis, and development strategies adopted during the forecast timeline.
The report describes the key industry players, with respect to their individual growth trends, future prospects, and contribution to the global market, and explains the factors related to their market growth potential, drivers, opportunities, threats, and industry-specific challenges.
Furthermore, the report underpins the strategic developments occurring in the global Big Data Analytics in Manufacturing Market such as expansions, mergers & acquisitions, agreements, as well as new product launches.
Key questions addressed in the report:
What is the projected growth rate likely to be witnessed by each market region?
Which of the leading Big Data Analytics in Manufacturing Market regions accounts for the maximum market share over the forecast years?
What sales estimates every region is expected to hold in the Big Data Analytics in Manufacturing Market in the near future?
What is each regional segment’s current valuation?
What are the estimated remunerations of these regions over the forecast timeline?
Table of Content
Chapter 1. Methodology & Sources
Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2021-2028
Chapter 3. Key Insights
Chapter 4. Big Data Analytics in Manufacturing Market Segmentation & Impact Analysis
4.1. Big Data Analytics in Manufacturing Market Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Market indicators analysis
4.2.2. Market drivers analysis
22.214.171.124. Increasing application of big data analytics in manufacturing industry for demand forecasting.
126.96.36.199. Growing demand for solutions for asset optimization
188.8.131.52. Rising need for solution to reduce downtime
184.108.40.206. Increasing demand for tools for faster integration of automation
4.2.3. Market restraints analysis
220.127.116.11. Data breach issue
18.104.22.168. The high cost of implementation
4.3. Technological Insights
4.4. Regulatory Framework
4.5. Porter’s Five Forces Analysis
4.6. Competitive Metric Space Analysis
4.7. Price trend Analysis
4.8. Covid-19 Impact Analysis
Chapter 5. Big Data Analytics in Manufacturing Market By Component Insights & Trends Revenue (USD Billion)
5.1. Component Dynamics & Market Share, 2020 & 2028
Chapter 6. Big Data Analytics in Manufacturing Market By Deployment Insights & Trends Revenue (USD Billion)
6.1. Deployment Dynamics & Market Share, 2020 & 2028
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