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市场调查报告书
商品编码
1529025
企业製造智慧市场 - 按部署类型（嵌入式、独立）、按产品（软体、服务）、最终用途产业（程序工业、离散产业）和预测，2024 年至 2032 年Enterprise Manufacturing Intelligence Market - By Deployment Type (Embedded, Standalone), By Offering (Software, Services), By End-use Industry (Process Industry, Discrete Industry) & Forecast, 2024 - 2032 |
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在领先供应商的创新和新产品发布的推动下，2024 年至 2032 年间，全球企业製造智慧市场的复合年增长率将达到 13.4%。随着製造商寻求提高营运效率和决策能力，EMI 解决方案提供了对生产流程的高阶分析和即时洞察。最近的创新包括人工智慧、机器学习和高级资料分析的集成，从而实现更准确的预测、预测性维护和製造营运优化。
例如，2023 年 11 月，NVIDIA 推出了生成式 AI 微服务，旨在使企业能够将自订大型语言模型与其专有资料连结起来，为 AI 应用程式提供高度准确的回应。全新 NVIDIA NeMo Retriever 是用于开发和部署生成式 AI 模型的 NVIDIA NeMo 框架和工具套件的一部分，它透过针对企业需求量身定制的高级检索增强生成 (RAG) 功能来增强生成式 AI 应用。
企业製造智慧产业的整体规模根据部署类型、产品、最终用途和区域进行分类。
由于软体部署的进步，企业製造智慧 (EMI) 市场的需求不断增长。现代 EMI 解决方案利用复杂的软体来提供全面的分析、即时洞察和数据驱动的决策功能。此类软体的部署有助于与现有製造系统无缝集成，从而更好地监控、优化和预测生产流程。随着製造商努力提高效率、减少停机时间和提高质量，先进的 EMI 软体变得至关重要。製造业对数位转型和自动化的日益重视进一步推动了对 EMI 解决方案的需求，使软体部署成为市场扩张的关键因素。
由于对提高营运效率和即时洞察力的需求，企业製造智慧 (EMI) 市场正在经历製程工业的日益增长的需求。化学、製药、石油和天然气等製程工业需要先进的 EMI 解决方案来监控复杂的生产流程、确保合规性并优化资源利用率。 EMI 系统提供关键资料分析、预测性维护和流程最佳化功能，对于维持高营运标准和最大限度地减少停机时间至关重要。随着这些产业越来越多地采用数位转型策略，对提供详细分析和可行见解的 EMI 解决方案的需求持续成长，从而推动了市场成长。
由于该地区专注于推进製造技术和提高营运效率，欧洲企业製造智慧 (EMI) 市场正在经历显着成长。欧洲製造商正在采用 EMI 解决方案来增强数据驱动的决策、优化生产流程并遵守严格的监管标准。数位转型和工业 4.0 计画的推动推动了对提供即时分析、预测性维护和流程优化的先进 EMI 系统的需求。此外，对永续性和减少环境影响的重视进一步加速了 EMI 技术在欧洲的采用，使该地区成为全球 EMI 市场扩张的关键驱动力。
目录
第 1 章：范围与方法
- 市场范围和定义
- 基本估计和计算
- 预测参数
- 数据来源
- 基本的
- 中学
- 付费来源
- 公共来源
第 2 章：执行摘要
第 3 章：产业洞察
- 产业生态系统分析
- 供应商矩阵
- 技术与创新格局
- 专利分析
- 重要新闻和倡议
- 监管环境
- 衝击力
- 成长动力
- 不断增长的数位转型倡议
- 物联网和工业物联网技术的不断融合
- 注重可持续性
- 对基于云端的解决方案的需求不断增长
- 向智慧製造和工业4.0转变
- 产业陷阱与挑战
- 缺乏技能和专业知识
- 网路安全风险
- 成长动力
- 成长潜力分析
- 波特的分析
- PESTEL分析
第 4 章：竞争格局
- 公司市占率分析
- 竞争定位矩阵
- 战略展望矩阵
第 5 章：市场估计与预测：按部署类型，2021 - 2032 年
- 主要趋势
- 嵌入式
- 独立式
第 6 章：市场估计与预测：依产品划分，2021 - 2032 年
- 主要趋势
- 软体
- 服务
第 7 章：市场估计与预测：依最终用途产业，2021 - 2032 年
- 主要趋势
- 流程工业
- 化学
- 能源与电力
- 食品和饮料
- 石油和天然气
- 製药
- 其他的
- 离散产业
- 航太与国防
- 汽车
- 医疗器材
- 半导体和电子产品
第 8 章：市场估计与预测：按地区，2021 - 2032
- 主要趋势
- 北美洲
- 我们
- 加拿大
- 欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 欧洲其他地区
- 亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 亚太地区其他地区
- 拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地区
- MEA
- 阿联酋
- 沙乌地阿拉伯
- 南非
- MEA 的其余部分
第 9 章：公司简介
- ABB Ltd
- Aspen Technology Inc.
- Dassault Systems SA
- Emerson Electric Co.
- General Electric Co.
- Honeywell International Inc.
- Rockwell Automation Inc.
- SAP SE
- Schneider Electric SE
- Siemens AG
- Yokogawa Electric Corporation
Global Enterprise Manufacturing Intelligence Market will witness a 13.4% CAGR between 2024 and 2032, fueled by innovations and new product launches from leading providers. As manufacturers seek to enhance operational efficiency and decision-making, EMI solutions offer advanced analytics and real-time insights into production processes. Recent innovations include the integration of artificial intelligence, machine learning, and advanced data analytics, which enable more accurate forecasting, predictive maintenance, and optimization of manufacturing operations.
For instance, in November 2023, NVIDIA unveiled a generative AI microservice designed to enable enterprises to link custom large language models with their proprietary data, providing highly accurate responses for AI applications. The new NVIDIA NeMo Retriever, part of the NVIDIA NeMo suite of frameworks and tools for developing and deploying generative AI models, enhances generative AI applications with advanced retrieval-augmented generation (RAG) capabilities tailored for enterprise needs.
The overall Enterprise Manufacturing Intelligence Industry size is classified based on the deployment type, offering, end-use, and region.
The Enterprise Manufacturing Intelligence (EMI) market is seeing increased demand driven by advancements in software deployment. Modern EMI solutions leverage sophisticated software to provide comprehensive analytics, real-time insights, and data-driven decision-making capabilities. The deployment of such software facilitates seamless integration with existing manufacturing systems, enabling better monitoring, optimization, and forecasting of production processes. As manufacturers strive to enhance efficiency, reduce downtime, and improve quality, advanced EMI software becomes crucial. The growing emphasis on digital transformation and automation in manufacturing further propels the demand for EMI solutions, making software deployment a key factor in the market expansion.
The Enterprise Manufacturing Intelligence (EMI) market is experiencing heightened demand from the process industry, driven by the need for enhanced operational efficiency and real-time insights. Process industries, such as chemicals, pharmaceuticals, and oil and gas, require advanced EMI solutions to monitor complex production processes, ensure compliance, and optimize resource utilization. EMI systems provide critical data analytics, predictive maintenance, and process optimization capabilities essential for maintaining high operational standards and minimizing downtime. As these industries increasingly adopt digital transformation strategies, the demand for EMI solutions that offer detailed analytics and actionable insights continues to rise, fueling market growth.
Europe Enterprise Manufacturing Intelligence (EMI) market is experiencing significant growth due to the region's focus on advancing manufacturing technologies and improving operational efficiency. European manufacturers are adopting EMI solutions to enhance data-driven decision-making, optimize production processes, and comply with stringent regulatory standards. The push towards digital transformation and Industry 4.0 initiatives drives the demand for advanced EMI systems that offer real-time analytics, predictive maintenance, and process optimization. Additionally, the emphasis on sustainability and reducing environmental impact further accelerates the adoption of EMI technologies in Europe, positioning the region as a key driver in the global EMI market expansion.
Table of Contents
Chapter 1 Scope & Methodology
- 1.1 Market scope & definition
- 1.2 Base estimates & calculations
- 1.3 Forecast parameters
- 1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
- 1.4.2.1 Paid sources
- 1.4.2.2 Public sources
Chapter 2 Executive Summary
- 2.1 Industry 360° synopsis, 2024 - 2032
- 2.2 Business trends
- 2.2.1 Total addressable market (TAM), 2024-2032
Chapter 3 Industry Insights
- 3.1 Industry ecosystem analysis
- 3.2 Vendor matrix
- 3.3 Technology & innovation landscape
- 3.4 Patent analysis
- 3.5 Key news and initiatives
- 3.6 Regulatory landscape
- 3.7 Impact forces
- 3.7.1 Growth drivers
- 3.7.1.1 Growing digital transformation initiatives
- 3.7.1.2 Rising integration of IoT and IIoT technologies
- 3.7.1.3 Focus on sustainability
- 3.7.1.4 Rising demand for cloud-based solutions
- 3.7.1.5 Shift towards smart manufacturing and industry 4.0
- 3.7.2 Industry pitfalls & challenges
- 3.7.2.1 Lack of skills and expertise
- 3.7.2.2 Cybersecurity risks
- 3.7.1 Growth drivers
- 3.8 Growth potential analysis
- 3.9 Porter's analysis
- 3.9.1 Supplier power
- 3.9.2 Buyer power
- 3.9.3 Threat of new entrants
- 3.9.4 Threat of substitutes
- 3.9.5 Industry rivalry
- 3.10 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
- 4.1 Company market share analysis
- 4.2 Competitive positioning matrix
- 4.3 Strategic outlook matrix
Chapter 5 Market Estimates & Forecast, By Deployment Type, 2021 - 2032 (USD Million)
- 5.1 Key trends
- 5.2 Embedded
- 5.3 Stand-alone
Chapter 6 Market Estimates & Forecast, By Offering, 2021 - 2032 (USD Million)
- 6.1 Key trends
- 6.2 Software
- 6.3 Services
Chapter 7 Market Estimates & Forecast, By End-use Industry, 2021 - 2032 (USD Million)
- 7.1 Key trends
- 7.2 Process industry
- 7.2.1 Chemical
- 7.2.2 Energy & power
- 7.2.3 Food & beverage
- 7.2.4 Oil & gas
- 7.2.5 Pharmaceutical
- 7.2.6 Others
- 7.3 Discrete Industry
- 7.3.1 Aerospace & defense
- 7.3.2 Automotive
- 7.3.3 Medical devices
- 7.3.4 Semiconductors & electronics
Chapter 8 Market Estimates & Forecast, By Region, 2021 - 2032 (USD Million)
- 8.1 Key trends
- 8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
- 8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Italy
- 8.3.5 Spain
- 8.3.6 Rest of Europe
- 8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 ANZ
- 8.4.6 Rest of Asia Pacific
- 8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Rest of Latin America
- 8.6 MEA
- 8.6.1 UAE
- 8.6.2 Saudi Arabia
- 8.6.3 South Africa
- 8.6.4 Rest of MEA
Chapter 9 Company Profiles
- 9.1 ABB Ltd
- 9.2 Aspen Technology Inc.
- 9.3 Dassault Systems SA
- 9.4 Emerson Electric Co.
- 9.5 General Electric Co.
- 9.6 Honeywell International Inc.
- 9.7 Rockwell Automation Inc.
- 9.8 SAP SE
- 9.9 Schneider Electric SE
- 9.10 Siemens AG
- 9.11 Yokogawa Electric Corporation
