The global big data analytics in manufacturing industry market is predicted to reach USD 1.54 billion in 2024 and USD 5.94 billion by 2029, growing at a CAGR of 30.9% during the forecast period.
The market value of big data analytics in the manufacturing industry is expected to increase more with the increasing investments in R&D in the coming years.
A large volume of structured and unstructured data stored daily is generally known as Big Data. Companies implement this technique to examine market trends, hidden patterns, and other useful information that helps them make effective business decisions.
The rising demand for big data across various industry verticals is one of the major driving factors of the global Big Data Analytics market growth rate in the manufacturing industry. Another major driving factor was the increase in the need for big data in manufacturing to reduce production defects and optimize supply chain management.
The adoption of manufacturing analytics by various automobile manufacturers is one of the growth-supporting factors of the market for Big Data Analytics in the Manufacturing Industry in terms of revenue rate. Increasing investments by companies from emerging economies such as India, Brazil, and China in new product innovation boosts the growth of the market for Big Data Analytics in the Manufacturing Industry.
The high cost of equipment hinders the growth of the worldwide market for big data analytics in the manufacturing industry. Another major restraint affecting the growth of the market is the integration of big data in this industry.
The market of Big Data Analytics in the Manufacturing Industry is expected to increase the revenue rate in the next few months with all the industries starting their manufacturing of the products that, in turn, are going to increase the revenue rate of the Big Data Analytics in the Manufacturing Industry. Coronavirus has impacted global industries in three ways: by directly affecting production and demand, by creating supply chain and market disruption, and by its financial impact on firms and financial markets due to the strict lockdown imposed by government authorities all around the world.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2029 |
Base Year |
2023 |
Forecast Period |
2024 to 2029 |
CAGR |
30.9% |
Segments Covered |
By Component, Application, Deployment Mode, End User Industry, and Region |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
Market Leaders Profiled |
IBM Corporation, SAP SE, SAS Institute Inc., OpenText Corporation, Microsoft Corporation, Oracle Corporation, Microstrategy, Information Builders, Tableau Software Inc., Qlik Technologies Inc., and Others. |
Among these, the services segment holds the major share of the market among the others.
Among these, the product life cycle management tower segments hold the major share of the market.
Among these, the cloud segment holds the major share of the market as it is becoming more popular worldwide.
Among these, the semiconductor segment holds a substantial share of the market compared to the other segments.
Asia Pacific region holds the major share of the market due to the presence of some of the key industry players in the area, which is also a major driving factor that helps the growth of the market of Big Data Analytics in the Manufacturing Industry in the Asia Pacific. Also, increasing investments and development in some of the emerging economies such as China and India are major driving factors that propel the growth of the market of Big Data Analytics in the manufacturing industry in the Asia Pacific area.
North American region holds the second largest share of the market of Big Data Analytics in the Manufacturing Industry owing to the increase in ground in local business operations. These are some of the factors that are helping the Big Data Analytics market in the manufacturing industry to grow further in the North American region.
The European region is anticipated to increase the market value of Big Data Analytics in the Manufacturing Industry owing to the surge in funding by the major key players in the market in European nations.
Some of the key players of the global Big Data Analytics in the Manufacturing Industry market are:
IBM Corporation
SAP SE
SAS Institute Inc.
OpenText Corporation
Microsoft Corporation
Oracle Corporation
Microstrategy
Information Builders
Tableau Software Inc.
Qlik Technologies Inc. and Others
In June 2020, Microsoft Corporation collaborated with Hitachi to meet the growing demand for predictive maintenance and process automation in the manufacturing and logistics industries across Southeast Asia, North America, and Japan.
In October 2019, Erbessd Instruments introduced a wireless vibration monitoring system known as Phantom that can integrate parameters like temperature, RPM, power, and speed into a single diagnosis system.
By Component
Software
Services
By Application
Field Activity Management
Predictive Maintenance
Budget Monitoring
Product Life Cycle Management and Other Applications
By Deployment Mode
Cloud
On-Premises
By End User Industry
Semiconductor
Aerospace
Automotive
Others
By Region
North America
The United States
Canada
Rest of North America
Europe
The United Kingdom
Spain
Germany
Italy
France
Rest of Europe
The Asia Pacific
India
Japan
China
Australia
Singapore
Malaysia
South Korea
New Zealand
Southeast Asia
Latin America
Brazil
Argentina
Mexico
Rest of LATAM
The Middle East and Africa
Saudi Arabia
UAE
Lebanon
Jordan
Cyprus
Frequently Asked Questions
Big data analytics enhances supply chain management by providing real-time visibility into inventory levels, demand forecasting, supplier performance analysis, and logistics optimization. This enables manufacturers to streamline operations, reduce costs, and improve overall efficiency.
Emerging trends include the integration of artificial intelligence and machine learning algorithms for advanced analytics, adoption of edge computing to process data closer to the source, and the use of blockchain technology for secure data sharing across the supply chain.
Big data analytics enables manufacturers to optimize energy consumption, reduce waste, and enhance resource efficiency by analyzing operational data to identify areas for improvement. This supports sustainable manufacturing practices and environmental conservation efforts.
Future developments may include the widespread adoption of digital twins for virtual simulation and optimization of manufacturing processes, advancements in real-time analytics capabilities leveraging 5G connectivity, and increased focus on data-driven decision-making through the integration of business intelligence tools.
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