Big Data in Manufacturing Industry Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032

Growth Factors of Big Data in Manufacturing Industry Market

The Big Data in Manufacturing Industry Market size was valued at USD 3.22 billion in 2023, and the market is now projected tgrow t21.51 USD billion by 2032, exhibiting a CAGR of 12.6% during the forecast period of 2023-2030.

The pandemic has been anticipated tbe a bane for the entire industrial developments of various market and fields. This has affected the overall supply and demand chains of the particular market. As a result of the government's lockdown and other steps tstop the coronavirus from spreading, all supply activities were postponed, which decreased the amount of product related tthis domain. These factors affected the Big Data in Manufacturing Industry Market growth.

In manufacturing processes, supply chain management is growing increasingly intricate and time-consuming due tthe increasing usage of a linked environment. In order tstreamline operations and optimize the supply chain, a detailed analysis of the process is required. Manufacturers are able tmonitor, trace, analyze, and optimize the entire supply chain process thanks tbig data technology. In addition, the supply chain may be more important tmanufacturers than the production process because it can lead tlosses because of operational inefficiencies. Big data helps producers comprehend the steps and mistakes involved in finishing a task or operation. Given this, the use of big data in the industrial sector is probably going tgrow over the next several years. These particular growth driving factors have been recorded tattribute the Big Data in Manufacturing Industry Market Share.

It is necessary for a product market twalk with the trends in order tincreases its lucracy and profits in shares and all over revenue. Data is gathered in the industrial sector using either the conventional maintenance survey-based method or cutting-edge technological tools like sensors, RFID, etc. Through sensors and other devices, this data is gathered taid in resource tracking and analysis of the generated data (such as supply chain management, machine readings, etc.). Big data helps manufacturers manage and assess production process, risk, quality, and other operational characteristics since it requires a massive database tgather, preserve, and analyze the vast quantity of data created by these devices. Additionally, big data is assisting the manufacturing sector in achieving complete operational automation.

Comprehensive Analysis of Big Data in Manufacturing Industry Market

The segmentation of this particular market has been divided and then further subdivided intvarious categories. The market is divided intsolutions and services based on the offering. The solutions sector of the global big data in manufacturing market is anticipated texpand at the fastest rate in the upcoming year. The research covers deployment strategies, including on-premise, cloud-based, and hybrid systems, and focuses on a number of big data developments in the manufacturing sector. The market is divided intseveral segments based on their respective applications, including supply chain management, production management, quality evaluation, customer analytics, and operational analytics.

North America holds the largest market over the forecast period, according tthe conclusions based on our research methodology. The manufacturing sector in Asia is expected tuse big data at a compound annual growth rate (CAGR) over the course of the projection year. Numerous Asia Pacific regulatory organizations are launching campaigns timplement cutting-edge technological solutions in the industrial sector. Manufacturing in India has become a rapidly expanding industry that is anticipated tcontribute tthe nation's progress in the years tcome. The government's increased emphasis on the manufacturing sector and expanding industrial investment are probably the main causes of India's manufacturing industry's rise. The region is expected tmaintain a significant proportion during the projected period.

Global markets are fiercely competitive and highly fragmented. Due ttheir creative packaging solutions, a few group of large market companies hold a fair amount of market share. Some of the major Companies includes Accenture Plc. (Ireland), Alteryx, Inc. (U.S.), Angoss Software Corporation (Canada), Fair Isaac Corporation (U.S.), IBM Corporation (U.S.), Microsoft Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), SAS Institute, Inc. (U.S.), and TibcSoftware, Inc. (Alpine Data) (U.S.).

In January 2021, This particular company has attributed the market growth in terms of revenue and shares system. By acquiring Angoss Software Corporation, Datawatch Corporation was able tbroaden its product line and provide comprehensive predictive and prescriptive analytics for all applications, which will aid businesses in gaining insightful knowledge.

Segmentation Table

ATTRIBUTE DETAILS

Study Period - 2019-2032

Base Year - 2023

Forecast Period 2019-2032

Historical Period - 2015-2017

Unit - Value (USD billion)

Segmentation By Offering

  • Solution
  • Services
By Deployment
  • On Premise
  • Cloud-based
  • Hybrid
By Application
  • Customer Analytics
  • Operational Analytics
  • Quality Assessment
  • Supply Chain Management
  • Production Management
  • Others (Machine Maintenance, etc.)
By Region
  • North America (U.S. and Canada)
  • Europe (U.K., Germany, France, Scandinavia, and Rest of Europe)
  • Asia Pacific (China, Japan, India, Southeast Asia, and Rest of Asia Pacific)
  • Middle East & Africa (GCC, South Africa, and Rest of Middle East & Africa)
  • Latin America (Brazil, Mexico, and Rest of Latin America)


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1. Introduction
1.1. Definition, By Segment
1.2. Research Approach
1.3. Sources
2. Executive Summary
3. Market Dynamics
3.1. Drivers, Restraints, and Opportunities
3.2. Emerging Trends
4. Key Insights
4.1. Macro and Micro Economic Indicators
4.2. Consolidated SWOT Analysis of Key Players
5. Global Big Data in Manufacturing Industry Analysis, Insights and Forecast, 2015-2026
5.1. Key Findings / Summary
5.2. Market Analysis, Insights, and Forecast
5.2.1. By Offering (Value)
5.2.1.1. Solution
5.2.1.2. Services
5.2.2. By Deployment (Value)
5.2.2.1. On-Premise
5.2.2.2. Cloud
5.2.2.3. Hybrid
5.2.3. By Application (Value)
5.2.3.1. Customer Analytics
5.2.3.2. Operational Analytics
5.2.3.3. Quality Assessment
5.2.3.4. Supply Chain Management
5.2.3.5. Production Management
5.2.3.6. Others
5.2.4. By Region (Value)
5.2.4.1. North America
5.2.4.2. Europe
5.2.4.3. Asia Pacific
5.2.4.4. Middle East & Africa
5.2.4.5. Latin America
6. North America Big Data in Manufacturing Industry Analysis, Insights and Forecast, 2015-2026
6.1. Key Findings / Summary
6.2. Market Analysis, Insights, and Forecast
6.2.1. By Offering (Value)
6.2.1.1. Solution
6.2.1.2. Services
6.2.2. By Deployment (Value)
6.2.2.1. On-Premise
6.2.2.2. Cloud
6.2.2.3. Hybrid
6.2.3. By Application (Value)
6.2.3.1. Customer Analytics
6.2.3.2. Operational Analytics
6.2.3.3. Quality Assessment
6.2.3.4. Supply Chain Management
6.2.3.5. Production Management
6.2.3.6. Others
6.2.4. By Country (Value)
6.2.4.1. U.S.
6.2.4.2. Canada
7. Europe Big Data in Manufacturing Industry Analysis, Insights and Forecast, 2015-2026
7.1. Key Findings / Summary
7.2. Market Analysis, Insights, and Forecast
7.2.1. By Offering (Value)
7.2.1.1. Solution
7.2.1.2. Services
7.2.2. By Deployment (Value)
7.2.2.1. On-Premise
7.2.2.2. Cloud
7.2.2.3. Hybrid
7.2.3. By Application (Value)
7.2.3.1. Customer Analytics
7.2.3.2. Operational Analytics
7.2.3.3. Quality Assessment
7.2.3.4. Supply Chain Management
7.2.3.5. Production Management
7.2.3.6. Others
7.2.4. By Country (Value)
7.2.4.1. UK
7.2.4.2. Germany
7.2.4.3. France
7.2.4.4. Scandinavia
7.2.4.5. Rest of Europe
8. Asia Pacific Big Data in Manufacturing Industry Analysis, Insights and Forecast, 2015-2026
8.1. Key Findings / Summary
8.2. Market Analysis, Insights, and Forecast
8.2.1. By Offering (Value)
8.2.1.1. Solution
8.2.1.2. Services
8.2.2. By Deployment (Value)
8.2.2.1. On-Premise
8.2.2.2. Cloud
8.2.2.3. Hybrid
8.2.3. By Application (Value)
8.2.3.1. Customer Analytics
8.2.3.2. Operational Analytics
8.2.3.3. Quality Assessment
8.2.3.4. Supply Chain Management
8.2.3.5. Production Management
8.2.3.6. Others
8.2.4. By Country (Value)
8.2.4.1. China
8.2.4.2. Japan
8.2.4.3. India
8.2.4.4. South East Asia
8.2.4.5. Rest of APAC
9. The Middle East & Africa Big Data in Manufacturing Industry Analysis, Insights and Forecast, 2015-2026
9.1. Key Findings / Summary
9.2. Market Analysis, Insights, and Forecast
9.2.1. By Offering (Value)
9.2.1.1. Solution
9.2.1.2. Services
9.2.2. By Deployment (Value)
9.2.2.1. On-Premise
9.2.2.2. Cloud
9.2.2.3. Hybrid
9.2.3. By Application (Value)
9.2.3.1. Customer Analytics
9.2.3.2. Operational Analytics
9.2.3.3. Quality Assessment
9.2.3.4. Supply Chain Management
9.2.3.5. Production Management
9.2.3.6. Others
9.2.4. By Country (Value)
9.2.4.1. GCC
9.2.4.2. South Africa
9.2.4.3. Rest of MEA
10. Latin America Big Data in Manufacturing Industry Analysis, Insights and Forecast, 2015-2026
10.1. Key Findings / Summary
10.2. Market Analysis, Insights, and Forecast
10.2.1. By Offering (Value)
10.2.1.1. Solution
10.2.1.2. Services
10.2.2. By Deployment (Value)
10.2.2.1. On-Premise
10.2.2.2. Cloud
10.2.2.3. Hybrid
10.2.3. By Application (Value)
10.2.3.1. Customer Analytics
10.2.3.2. Operational Analytics
10.2.3.3. Quality Assessment
10.2.3.4. Supply Chain Management
10.2.3.5. Production Management
10.2.3.6. Others
10.2.4. By Country (Value)
10.2.4.1. Brazil
10.2.4.2. Mexico
10.2.4.3. Rest of Latin America
11. Competition Matrix
11.1. Business Strategies Adopted by Leading Players
11.2. Key Technological Developments
12. Global Big Data in Manufacturing Industry Revenue Share Analysis, By Key Players, 2018
13. Company Profile
13.1. Accenture Plc.
13.1.1. Overview
13.1.2. Description
13.1.3. Recent Developments
13.2. Alteryx, Inc.
13.2.1. Overview
13.2.2. Description
13.2.3. Recent Developments
13.3. Angoss Software Corporation
13.3.1. Overview
13.3.2. Description
13.3.3. Recent Developments
13.4. Fair Isaac Corporation
13.4.1. Overview
13.4.2. Description
13.4.3. Recent Developments
13.5. IBM Corporation
13.5.1. Overview
13.5.2. Description
13.5.3. Recent Developments
13.6. Microsoft Corporation
13.6.1. Overview
13.6.2. Description
13.6.3. Recent Developments
13.7. Oracle Corporation
13.7.1. Overview
13.7.2. Description
13.7.3. Recent Developments
13.8. SAP SE
13.8.1. Overview
13.8.2. Description
13.8.3. Recent Developments
13.9. SAS Institute, Inc.
13.9.1. Overview
13.9.2. Description
13.9.3. Recent Developments
13.10. Tibco Software, Inc. (Alpine Data)
13.10.1. Overview
13.10.2. Description
13.10.3. Recent Developments

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