製造业分析市场规模、份额和成长分析(按类型、应用、部署模式、垂直产业和地区划分)-2026-2033年产业预测
市场调查报告书
商品编码
1897569

製造业分析市场规模、份额和成长分析(按类型、应用、部署模式、垂直产业和地区划分)-2026-2033年产业预测

Manufacturing Analytics Market Size, Share, and Growth Analysis, By Type (Software, Service), By Application (Predictive maintenance & asset management, Inventory management), By Deployment Models, By Verticals, By Region - Industry Forecast 2026-2033

出版日期: | 出版商: SkyQuest | 英文 197 Pages | 商品交期: 3-5个工作天内

价格
简介目录

预计到 2024 年,製造业分析市场规模将达到 196.8 亿美元,到 2025 年将达到 239.1 亿美元,到 2033 年将达到 1135.6 亿美元,在预测期(2026-2033 年)内复合年增长率为 21.5%。

对于寻求透过数据驱动策略提升营运效率的现代製造商而言,製造分析是一项至关重要的资产。随着自动化和数位技术的日益融合,物联网设备、感测器和互联设备产生了大量数据,製造分析市场也因此蓬勃发展。儘管面临系统整合复杂性和数据准确性保证等挑战,该市场仍蕴藏着巨大的成长潜力。人工智慧和机器学习等创新技术的兴起,使製造商能够有效地从大量数据中提取可执行的洞察。在高度重视数位转型和工业4.0原则的前提下,製造分析能够促进即时监控、预测性维护和供应链优化等实际应用,最终在当今瞬息万变的製造环境中提升营运效率、竞争力和永续性。

製造业分析市场驱动因素

工业物联网 (IIoT) 设备和感测器在製造流程中的日益普及,带来了大量数据。製造分析解决方案对于有效处理和解读这些数据,并从中提取有价值的见解至关重要。製造商正在利用 IIoT 和先进的数据分析技术来优化营运、加强品管、最大限度地减少停机时间并提高整体效率。策略性地利用这些数据,能够帮助企业做出明智的决策、简化工作流程并提高生产力,从而在快速发展的製造业环境中获得竞争优势。

限制製造业分析市场发展的因素

由于收集和分析海量敏感资讯的过程涉及资料安全和隐私问题,製造业分析市场面临严峻挑战。製造商必须优先保护数据,以确保资料的机密性和完整性,并防止未授权存取或潜在的资料外洩。严格的资料安全通讯协定和资料保护条例是製造业分析解决方案被广泛接受和采用的重要障碍,阻碍了该领域的整体发展。因此,解决这些安全挑战对于建立信任和推动市场成长至关重要。

製造业分析市场趋势

随着人工智慧 (AI) 和机器学习 (ML) 技术的融合,製造业分析市场正经历着一场变革。这一趋势使製造商能够利用复杂的资料集来挖掘隐藏的模式和关联性,从而实现预测性和指导性分析。透过采用 AI 和 ML 解决方案,企业可以优化决策流程、改善生产工作流程并显着提高营运效率。随着製造商越来越依赖数据驱动型策略,高阶分析与智慧技术之间的协同作用正成为提高生产力、减少停机时间和推动製造业创新的基础。

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
  • 技术分析

全球製造业分析市场规模(按类型和复合年增长率划分)(2026-2033 年)

  • 软体
  • 服务
    • 专业服务
    • 託管服务

全球製造业分析市场规模(依应用领域及复合年增长率划分)(2026-2033 年)

  • 预测性维护和资产管理
  • 库存管理
  • 供应链规划与采购
  • 能源管理
  • 紧急管理
  • 销售和客户管理
  • 其他用途

全球製造业分析市场规模(按部署模式和复合年增长率划分)(2026-2033 年)

  • 本地部署
  • 一经请求

全球製造业分析市场规模(依产业垂直领域划分)及复合年增长率(2026-2033 年)

  • 汽车/航太製造
  • 电子设备製造
  • 食品饮料製造业
  • 化学/材料製造业
  • 机械及工业设备製造业
  • 製药和生命科学
  • 造纸、纸浆、塑胶和橡胶製造
  • 其他的

全球製造业分析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)
  • SAP SE(Germany)
  • Oracle Corporation(USA)
  • IBM Corporation(USA)
  • Microsoft Corporation(USA)
  • General Electric(GE)(USA)
  • Rockwell Automation, Inc.(USA)
  • PTC Inc.(USA)
  • SAS Institute Inc.(USA)
  • Splunk Inc.(USA)
  • AVEVA Group plc(UK)
  • TIBCO Software Inc.(USA)
  • QlikTech International AB(USA)
  • Aspen Technology, Inc.(USA)
  • Infor(USA)
  • Hitachi, Ltd.(Japan)
  • Schneider Electric SE(France)
  • Dassault Systemes SE(France)
  • Sight Machine Inc.(USA)

结论与建议

简介目录
Product Code: SQMIG45A2118

Manufacturing Analytics Market size was valued at USD 19.68 Billion in 2024 and is poised to grow from USD 23.91 Billion in 2025 to USD 113.56 Billion by 2033, growing at a CAGR of 21.5% during the forecast period (2026-2033).

Manufacturing analytics serves as an essential asset for contemporary manufacturers aiming to enhance operations through data-driven strategies. The market thrives on the increasing integration of automation and digital technologies, which generates extensive data from IoT devices, sensors, and interconnected equipment. Although challenges like system integration complexity and ensuring data accuracy exist, the market offers significant growth prospects. The rise of innovative technologies, such as artificial intelligence and machine learning, provides manufacturers with effective ways to glean actionable insights from abundant data. With a strong emphasis on digital transformation and Industry 4.0 principles, manufacturing analytics promotes practical applications, including real-time monitoring, predictive maintenance, and supply chain optimization, ultimately reinforcing operational efficiency, competitiveness, and sustainability in today's dynamic manufacturing environment.

Top-down and bottom-up approaches were used to estimate and validate the size of the Manufacturing Analytics 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.

Manufacturing Analytics Market Segments Analysis

Global Manufacturing Analytics Market is segmented by Type, Application, Deployment Models, Verticals and region. Based on Type, the market is segmented into Software and Service. Based on Application, the market is segmented into Predictive maintenance & asset management, Inventory management, Supply chain planning & procurement, Energy management, Emergency management, Sales & customer management and Other applications. Based on Deployment Models, the market is segmented into On-premises and On-demand. Based on Verticals, the market is segmented into Automotive & aerospace manufacturing, Electronics equipment manufacturing, Food & beverages manufacturing, Chemicals & materials manufacturing, Machinery & industrial equipment manufacturing, Pharma and life sciences, Paper, pulp, plastic and rubber manufacturing and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Manufacturing Analytics Market

The rising adoption of Industrial Internet of Things (IIoT) devices and sensors within manufacturing processes leads to an immense influx of data. Manufacturing analytics solutions are essential for effectively processing and interpreting this data to extract valuable insights. As manufacturers leverage IIoT and advanced data analytics methods, they aim to optimize their operations, elevate quality control measures, minimize downtime, and boost overall efficiency. This strategic utilization of data enables businesses to make informed decisions, streamline workflows, and enhance productivity, ultimately leading to improved competitiveness in the rapidly evolving manufacturing landscape.

Restraints in the Manufacturing Analytics Market

The manufacturing analytics market faces notable challenges due to concerns surrounding data security and privacy, as the process entails gathering and analyzing vast amounts of sensitive information. Manufacturers must prioritize the safeguarding of their data to ensure both confidentiality and integrity, thus preventing unauthorized access and potential breaches. The necessity for stringent data security protocols and adherence to data protection regulations remains a significant barrier for the broader acceptance and implementation of manufacturing analytics solutions, impeding the overall progress in this field. Consequently, addressing these security challenges is essential for fostering trust and facilitating market growth.

Market Trends of the Manufacturing Analytics Market

The manufacturing analytics market is witnessing a transformative shift driven by the integration of artificial intelligence (AI) and machine learning (ML) technologies. This trend empowers manufacturers to harness complex data sets, revealing hidden patterns and correlations that facilitate predictive and prescriptive analytics. By implementing AI and ML solutions, companies can enhance their decision-making processes, optimize production workflows, and significantly boost operational efficiency. As manufacturers increasingly rely on data-driven strategies, the synergy between advanced analytics and smart technologies is positioning itself as a cornerstone for improving productivity, reducing downtime, and fostering innovation within the manufacturing landscape.

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
  • Technology Analysis

Global Manufacturing Analytics Market Size by Type & CAGR (2026-2033)

  • Market Overview
  • Software
  • Service
    • Professional Services
    • Managed Services

Global Manufacturing Analytics Market Size by Application & CAGR (2026-2033)

  • Market Overview
  • Predictive maintenance & asset management
  • Inventory management
  • Supply chain planning & procurement
  • Energy management
  • Emergency management
  • Sales & customer management
  • Other applications

Global Manufacturing Analytics Market Size by Deployment Models & CAGR (2026-2033)

  • Market Overview
  • On-premises
  • On-demand

Global Manufacturing Analytics Market Size by Verticals & CAGR (2026-2033)

  • Market Overview
  • Automotive & aerospace manufacturing
  • Electronics equipment manufacturing
  • Food & beverages manufacturing
  • Chemicals & materials manufacturing
  • Machinery & industrial equipment manufacturing
  • Pharma and life sciences
  • Paper, pulp, plastic and rubber manufacturing
  • Others

Global Manufacturing Analytics Market Size & CAGR (2026-2033)

  • North America (Type, Application, Deployment Models, Verticals)
    • US
    • Canada
  • Europe (Type, Application, Deployment Models, Verticals)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Type, Application, Deployment Models, Verticals)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Type, Application, Deployment Models, Verticals)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Type, Application, Deployment Models, Verticals)
    • 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
  • SAP SE (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Oracle Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • General Electric (GE) (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Rockwell Automation, Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • PTC Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAS Institute Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Splunk Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • AVEVA Group plc (UK)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • TIBCO Software Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • QlikTech International AB (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Aspen Technology, Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Infor (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Hitachi, Ltd. (Japan)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Schneider Electric SE (France)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Dassault Systemes SE (France)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Sight Machine Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations