製造業巨量資料市場規模、佔有率和成長分析（按產品、部署、應用和地區）- 產業預測 2025-2032

2023年全球製造業巨量資料市場規模價值58億美元，預計將從2024年的65.2億美元成長到2032年的167.4億美元，預測期間（2025-2032年）的複合年成長率為12.5%。

巨量資料分析軟體正在透過分析風險模式、最佳化工作流程和提高各個流程的品質來徹底改變製造業。透過處理來自生產線和品質評估的大量結構化和非結構化資料，這些解決方案可以發現新趨勢和可操作的見解，從而推動業務向前發展。作為第四代企業資源規劃（ERP）系統的關鍵組成部分，巨量資料正在將過時的設備轉變為自動化、高效的營運。在需求預測應用、資產最佳化解決方案和減少停機時間的需求的推動下，全球製造業巨量資料市場預計將大幅成長。感測器、物聯網等先進技術的融合，進一步凸顯了巨量資料實現完全操作自動化的潛力，預示著智慧製造的開始。

目錄

介紹

• 調查目的
• 研究範圍
• 定義

調查方法

• 資訊採購
• 次要和主要資料方法
• 市場規模預測
• 市場假設與限制

執行摘要

• 全球市場展望
• 供需趨勢分析
• 細分機會分析

市場動態及展望

• 市場概況
• 市場規模
• 市場動態
  • 促進因素和機會
  • 限制與挑戰
• 波特的分析

主要市場考察

• 關鍵成功因素
• 競爭程度
• 主要投資機會
• 市場生態系統
• 市場吸引力指數（2024 年）
• PESTEL 分析
• 總體經濟指標
• 價值鏈分析
• 定價分析

製造業巨量資料市場規模（按類型和複合年成長率） (2025-2032)

• 市場概況
• 解決方案
• 服務

製造業巨量資料市場規模（按部署和複合年成長率） (2025-2032)

• 市場概況
• 本地
• 雲端基礎
• 混合

製造業巨量資料市場規模（按應用和複合年成長率） (2025-2032)

• 市場概況
• 客戶分析
• 營運分析
• 品質評估
• 供應鏈管理
• 生產管理
• 其他
  • 機器維護

製造業巨量資料市場規模（按地區及複合年成長率） (2025-2032)

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲國家地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 其他亞太地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲國家
• 中東和非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東和非洲地區

競爭資訊

• 前 5 家公司對比
• 主要企業市場定位（2024年）
• 主要市場參與者所採用的策略
• 近期市場趨勢
• 公司市場佔有率分析（2024 年）
• 主要企業簡介
  • 公司詳細資訊
  • 產品系列分析
  • 公司分部佔有率分析
  • 收益與前一年同期比較對比（2022-2024 年）

主要企業簡介

• Siemens AG（Germany）
• IBM Corporation（United States）
• Microsoft Corporation（United States）
• Oracle Corporation（United States）
• SAP SE（Germany）
• SAS Institute Inc.（United States）
• Altair Engineering Inc.（United States）
• NVIDIA Corporation（United States）
• Samsung SDS Co., Ltd.（South Korea）
• ASML Holding NV（Netherlands）
• Wiwynn Corporation（Taiwan）
• Alteryx Inc.（United States）
• Cloudera, Inc.（United States）
• Teradata Corporation（United States）
• TIBCO Software Inc.（United States）
• MicroStrategy Incorporated（United States）
• FICO（Fair Isaac Corporation）（United States）
• Databricks（United States）

結論和建議

Global Big Data In Manufacturing Industry Market size was valued at USD 5.8 billion in 2023 and is poised to grow from USD 6.52 billion in 2024 to USD 16.74 billion by 2032, growing at a CAGR of 12.5% during the forecast period (2025-2032).

The big data analytics software is revolutionizing the manufacturing industry by analyzing risk patterns, optimizing workflows, and enhancing quality across various processes. By processing vast amounts of structured and unstructured data from production lines and quality assessments, these solutions reveal emerging trends and actionable insights, propelling businesses forward. As a critical element in fourth-generation enterprise resource planning (ERP) systems, big data transforms outdated facilities into automated, efficient operations. The global big data market in manufacturing is poised for substantial growth, driven by demand forecasting applications, asset optimization solutions, and the need for reduced downtime. The integration of advanced technologies such as sensors and the Internet of Things further emphasizes big data's potential in achieving full operational automation, marking the dawn of intelligent manufacturing.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Big Data In Manufacturing Industry market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Big Data In Manufacturing Industry Market Segments Analysis

Global Big DataInManufacturing Industry Market is segmented by Offering, Deployment,Applicationand region. Based on Offering, the market is segmented into Solution and Services. Based on Deployment, the market is segmented into On Premise, Cloud-based and Hybrid. Based on Application, the market is segmented into Customer Analytics, Operational Analytics, Quality Assessment, Supply Chain Management, Production Management and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, LatinAmericaand Middle East & Africa.

Driver of the Global Big Data In Manufacturing Industry Market

The increasing integration of interconnected environments has made supply chain management in the manufacturing sector more intricate and time-intensive. To enhance efficiency and simplify operations, a detailed examination of processes is essential. Big data technology equips manufacturers with the tools to monitor, analyze, and refine their entire supply chain, which is often more critical than the production process itself due to the potential for losses stemming from operational inefficiencies. By leveraging big data, manufacturers gain insights into their workflows, enabling them to identify and rectify errors, thus facilitating smoother task completion and operational effectiveness.

Restraints in the Global Big Data In Manufacturing Industry Market

A significant challenge confronting the global big data in the manufacturing industry is the substantial financial investment required. Manufacturers must allocate resources for cutting-edge hardware, sophisticated software solutions, and highly skilled personnel to effectively implement and manage big data systems. This considerable cost poses a particular threat to small and medium-sized enterprises (SMEs), which typically operate on limited budgets and may find it difficult to adopt big data technologies broadly. Additionally, the rising concerns surrounding data privacy and security further complicate the landscape, hindering the seamless integration of big data solutions in manufacturing processes.

Market Trends of the Global Big Data In Manufacturing Industry Market

The Global Big Data in Manufacturing Industry market is rapidly evolving, driven by the integration of IoT technologies and predictive maintenance solutions. As IoT devices generate vast amounts of real-time data from production lines, manufacturers are leveraging this information to enhance operational efficiency and minimize downtime. The synergy between IoT and big data analytics is empowering organizations to extract valuable insights, fostering smarter decision-making and improved productivity. Additionally, the growing emphasis on predictive maintenance is enabling proactive management of equipment, thereby reducing unexpected failures and lower operational costs. This trend signifies a transformative shift in manufacturing processes, positioning big data as a critical driver of innovation.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Drivers & Opportunities
  • Restraints & Challenges
• Porters Analysis
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2024
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis

Global Big Data In Manufacturing Industry Market Size by Offering & CAGR (2025-2032)

• Market Overview
• Solution
• Services

Global Big Data In Manufacturing Industry Market Size by Deployment & CAGR (2025-2032)

• Market Overview
• On Premise
• Cloud-based
• Hybrid

Global Big Data In Manufacturing Industry Market Size by Application & CAGR (2025-2032)

• Market Overview
• Customer Analytics
• Operational Analytics
• Quality Assessment
• Supply Chain Management
• Production Management
• Others
  • Machine Maintenance

Global Big Data In Manufacturing Industry Market Size & CAGR (2025-2032)

• North America (Offering, Deployment, Application)
  • US
  • Canada
• Europe (Offering, Deployment, Application)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Offering, Deployment, Application)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Offering, Deployment, Application)
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Offering, Deployment, Application)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2024
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2024
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

• Siemens AG (Germany)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Oracle Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAP SE (Germany)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAS Institute Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Altair Engineering Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• NVIDIA Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Samsung SDS Co., Ltd. (South Korea)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• ASML Holding N.V. (Netherlands)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Wiwynn Corporation (Taiwan)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Alteryx Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cloudera, Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Teradata Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• TIBCO Software Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• MicroStrategy Incorporated (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• FICO (Fair Isaac Corporation) (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Databricks (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations