製造业巨量资料市场规模、份额和成长分析（按产品、部署、应用和地区）- 产业预测 2025-2032

2023年全球製造业巨量资料市场规模价值58亿美元，预计将从2024年的65.2亿美元成长到2032年的167.4亿美元，预测期间（2025-2032年）的复合年增长率为12.5%。

巨量资料分析软体正在透过分析风险模式、优化工作流程和提高各个流程的品质来彻底改变製造业。透过处理来自生产线和品质评估的大量结构化和非结构化资料，这些解决方案可以发现新趋势和可操作的见解，从而推动业务向前发展。作为第四代企业资源规划（ERP）系统的关键组成部分，巨量资料正在将过时的设备转变为自动化、高效的营运。在需求预测应用、资产优化解决方案和减少停机时间的需求的推动下，全球製造业巨量资料市场预计将大幅成长。感测器、物联网等先进技术的融合，进一步凸显了巨量资料实现完全操作自动化的潜力，预示着智慧製造的开始。

目录

介绍

• 调查目的
• 研究范围
• 定义

调查方法

• 资讯采购
• 次要和主要资料方法
• 市场规模预测
• 市场假设与限制

执行摘要

• 全球市场展望
• 供需趋势分析
• 细分机会分析

市场动态及展望

• 市场概况
• 市场规模
• 市场动态
  • 驱动因素和机会
  • 限制与挑战
• 波特的分析

主要市场考察

• 关键成功因素
• 竞争程度
• 主要投资机会
• 市场生态系统
• 市场吸引力指数（2024 年）
• PESTEL 分析
• 总体经济指标
• 价值链分析
• 定价分析

製造业巨量资料市场规模（按类型和复合年增长率） (2025-2032)

• 市场概况
• 解决方案
• 服务

製造业巨量资料市场规模（按部署和复合年增长率） (2025-2032)

• 市场概况
• 本地
• 云端基础
• 杂交种

製造业巨量资料市场规模（按应用和复合年增长率） (2025-2032)

• 市场概况
• 客户分析
• 营运分析
• 品质评估
• 供应链管理
• 生产管理
• 其他的
  • 机器维护

製造业巨量资料市场规模（按地区及复合年增长率） (2025-2032)

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲国家地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲国家
• 中东和非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东和非洲地区

竞争资讯

• 前 5 家公司对比
• 主要企业市场定位（2024年）
• 主要市场参与者所采用的策略
• 近期市场趋势
• 公司市场占有率分析（2024 年）
• 主要企业简介
  • 公司详细信息
  • 产品系列分析
  • 公司分部份额分析
  • 收益与前一年同期比较对比（2022-2024 年）

主要企业简介

• 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）

结论和建议

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