Global Big Data Analytics in Manufacturing Industry Market Size, Share, Trends, COVID-19 Impact & Growth Forecast Report – Segmented By Component (Software and Services), Application (Predictive Maintenance, Budget Monitoring, Product Life Cycle Management, Field Activity Management and Others), Deployment Mode (Cloud and On-Premises), End User Industry (Semiconductor, Aerospace, Automotive and Others), & Region - Industry Forecast From 2024 to 2032

Updated On: June, 2024
ID: 11024
Pages: 150

Global Big Data Analytics in Manufacturing Industry Market Size (2024 to 2032)

The global big data analytics in manufacturing industry market was worth USD 1.18 billion in 2023. The global market is predicted to reach USD 1.54 billion in 2024 and USD 13.28 billion by 2032, 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.

MARKET DRIVERS

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.

MARKET RESTRAINTS

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.

Impact of COVID-19 on the Global Big Data Analytics in the Manufacturing Industry Market

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 COVERAGE

REPORT METRIC

DETAILS

Market Size Available

2023 to 2032

Base Year

2023

Forecast Period

2024 to 2032

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.

 

SEGMENTAL ANALYSIS

Global Big Data Analytics in the Manufacturing Industry Market Analysis By Component

Among these, the services segment holds the major share of the market among the others.

Global Big Data Analytics in the Manufacturing Industry Market Analysis By Application

Among these, the product life cycle management tower segments hold the major share of the market.

Global Big Data Analytics in the Manufacturing Industry Market Analysis By Deployment Mode

Among these, the cloud segment holds the major share of the market as it is becoming more popular worldwide.

Global Big Data Analytics in Manufacturing Industry Market Analysis End User Industry

Among these, the semiconductor segment holds a substantial share of the market compared to the other segments.

REGIONAL ANALYSIS

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.

KEY PLAYERS IN THE GLOBAL BIG DATA ANALYTICS IN THE MANUFACTURING INDUSTRY MARKET

Some of the key players of the global Big Data Analytics in the Manufacturing Industry market are:

  1. IBM Corporation

  2. SAP SE

  3. SAS Institute Inc.

  4. OpenText Corporation

  5. Microsoft Corporation

  6. Oracle Corporation

  7. Microstrategy

  8. Information Builders

  9. Tableau Software Inc.

  10. Qlik Technologies Inc. and Others

RECENT HAPPENINGS IN THE GLOBAL BIG DATA ANALYTICS IN THE MANUFACTURING INDUSTRY MARKET

  • 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.

DETAILED SEGMENTATION OF THE GLOBAL BIG DATA ANALYTICS IN THE MANUFACTURING INDUSTRY MARKET INCLUDED IN THIS REPORT

The global Big Data Analytics in the Manufacturing Industry market is segmented and sub-segmented based on the component, application, deployment mode, end-user industry, and region.

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

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Frequently Asked Questions

How does big data analytics optimize the supply chain in the manufacturing industry globally?

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.

What are the emerging trends in big data analytics within the global manufacturing industry?

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.

How does big data analytics help manufacturers in achieving sustainability goals?

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.

What are the potential future developments expected in the field of big data analytics in the manufacturing industry globally?

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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