巨量资料市场规模、份额及成长分析（按交付类型、部署类型、应用和地区划分）－製造业产业预测（2026年至2033年）

预计到 2024 年，全球製造业巨量资料市场规模将达到 65.2 亿美元，到 2025 年将成长至 73.4 亿美元，到 2033 年将成长至 188.2 亿美元，在预测期（2026-2033 年）内，复合年增长率为 12.5%。

巨量资料分析正在透过增强风险评估、提高工作流程效率和改善流程品质来变革製造业。它能够高效分析来自生产单元、产品品质指标和工厂车间的大量结构化和非结构化资料。透过识别趋势并提供可执行的洞察，巨量资料对于现代企业资源计画 (ERP) 系统的演进至关重要，能够推动传统製造设施转型为自动化、高效的生态系统。随着製造商寻求优化资产、最大限度地减少停机时间并加快自动化集成，对巨量资料解决方案的需求正在加速成长。此外，物联网和连接技术的进步正在推动智慧製造技术的兴起，为全球製造业的巨量资料领域创造了巨大的成长机会。

全球製造业巨量资料市场按交付类型、实施类型、应用领域和地区进行细分。按交付类型划分，可分为解决方案和服务。依实施类型划分，可分为本机部署、云端部署和混合式部署。依应用领域划分，可分为客户分析、业务分析、品质评估、供应链管理、生产管理及其他。依地区划分，可分为北美、欧洲、亚太、拉丁美洲以及中东和非洲。

全球製造业巨量资料市场驱动因素

随着互联互通环境的不断演变，製造业的供应链管理变得日益复杂且耗时。深入检验供应链流程对于提高效率和简化营运至关重要。巨量资料技术使製造商能够监控、分析和优化整个供应链，使其成为营运的关键要素。由于供应链效率低下可能导致重大损失，巨量资料在帮助製造商识别和纠正流程相关错误方面发挥关键作用，从而确保任务顺利执行和整体营运效率。

全球製造业巨量资料市场面临的限制因素

全球製造业巨量资料市场面临许多挑战，主要原因在于其高成本。为了有效整合和管理巨量资料系统，製造商必须投资先进的硬体、复杂​​的软体解决方案和专业人才。这种财务负担对通常预算紧张的中小企业来说尤其沉重，阻碍了它们更广泛地采用巨量资料技术。此外，人们对资料隐私和安全的日益关注也构成了另一道障碍。在利用巨量资料的同时，製造商也必须遵守严格的法规，并确保敏感资讯的安全。

全球巨量资料市场在製造业的发展趋势

由于物联网和先进分析技术的融合，全球製造业巨量资料市场正经历显着成长。製造商越来越多地利用物联网设备从机器和流程中收集即时数据，从而获得宝贵的洞察，进而提升营运效率。物联网与巨量资料的整合使企业能够采用预测性维护策略，最大限度地减少停机时间，并优化资源利用。随着企业寻求利用数据的力量来改善决策并获得竞争优势，智慧製造解决方案的采用预计将加速，从根本上改变生产方式，并推动各行业的创新。

目录

介绍

• 调查目标
• 调查范围
• 定义

调查方法

• 资讯收集
• 二手资料和一手资料方法
• 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
• 细分市场机会分析

市场动态与展望

• 市场规模
• 市场动态
  • 驱动因素和机会
  • 限制与挑战
• 波特分析

关键市场考察

• 关键成功因素
• 竞争程度
• 关键投资机会
• 市场生态系统
• 市场吸引力指数（2025）
• PESTEL 分析
• 总体经济指标
• 价值链分析
• 定价分析

全球製造业巨量资料市场规模（依产品类型划分）及复合年增长率（2026-2033 年）

• 解决方案
• 服务

全球製造业巨量资料市场规模（依部署方式及复合年增长率划分）（2026-2033 年）

• 本地部署
• 基于云端的
• 杂交种

全球製造业巨量资料市场规模（依应用领域划分）及复合年增长率（2026-2033 年）

• 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

全球製造业巨量资料市场规模及复合年增长率（2026-2033）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 亚太其他地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地区
• 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

• 前五大公司对比
• 主要企业的市场定位（2025 年）
• 主要市场参与者所采取的策略
• 近期市场趋势
• 公司市占率分析（2025 年）
• 主要企业公司简介
  • 公司详情
  • 产品系列分析
  • 依业务板块进行公司股票分析
  • 2023-2025年营收年比比较

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）

结论与建议

Global Big Data In Manufacturing Industry Market size was valued at USD 6.52 Billion in 2024 and is poised to grow from USD 7.34 Billion in 2025 to USD 18.82 Billion by 2033, growing at a CAGR of 12.5% during the forecast period (2026-2033).

Big data analytics is transforming the manufacturing industry by enhancing risk assessment, streamlining workflows, and improving process quality. It efficiently analyzes a vast array of structured and unstructured data from production units, product quality metrics, and factory floors. By identifying trends and delivering actionable insights, big data is integral to the evolution of modern enterprise resource planning (ERP) systems, enabling the transition of traditional manufacturing facilities into automated, efficient ecosystems. The demand for big data solutions is accelerating as manufacturers seek to optimize assets, minimize downtime, and expedite automation integration. Additionally, advancements in IoT and connectivity are fostering the rise of intelligent manufacturing technologies, paving the way for significant growth opportunities in the global big data in manufacturing sector.

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, LatinAmerica and Middle East & Africa.

Driver of the Global Big Data In Manufacturing Industry Market

As the interconnected environment continues to evolve, supply chain management within the manufacturing sector is increasingly complex and requires more time to navigate. To enhance efficiency and streamline operations, a detailed examination of the supply chain process is essential. Big data technologies empower manufacturers to monitor, analyze, and optimize the entire supply chain, transforming it into a crucial element of their operations. Given that inefficiencies in the supply chain can lead to significant losses, big data plays a vital role in helping manufacturers identify and rectify process-related errors, ensuring smoother execution of tasks and overall operational effectiveness.

Restraints in the Global Big Data In Manufacturing Industry Market

The Global Big Data in the Manufacturing Industry market faces significant challenges, primarily due to high costs associated with implementation. Manufacturers are required to invest in advanced hardware, sophisticated software solutions, and skilled talent to effectively integrate and manage big data systems. This financial strain proves particularly burdensome for small and medium-sized enterprises (SMEs), which typically operate within tight budget constraints, hindering their ability to adopt big data technologies on a broader scale. Additionally, growing concerns over data privacy and security pose further hurdles, as manufacturers must navigate stringent regulations and ensure the protection of sensitive information while leveraging big data.

Market Trends of the Global Big Data In Manufacturing Industry Market

The Global Big Data in Manufacturing Industry market is witnessing significant growth driven by the integration of IoT and advanced analytics. Manufacturers are increasingly leveraging IoT devices to capture real-time data from machinery and processes, enabling them to unlock valuable insights that enhance operational efficiency. This convergence of IoT and big data empowers organizations to adopt predictive maintenance strategies, minimizing downtime and optimizing resource usage. As businesses seek to harness the power of data for improved decision-making and competitive advantage, the trend towards embracing smart manufacturing solutions is set to accelerate, fundamentally transforming production methodologies and driving innovation across the sector.

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, 2025
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis

Global Big Data In Manufacturing Industry Market Size by Offering & CAGR (2026-2033)

• Market Overview
• Solution
• Services

Global Big Data In Manufacturing Industry Market Size by Deployment & CAGR (2026-2033)

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

Global Big Data In Manufacturing Industry Market Size by Application & CAGR (2026-2033)

• 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 (2026-2033)

• 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, 2025
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2025
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2023-2025)

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