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市场调查报告书
商品编码
1559985

企业製造智慧市场报告：2030 年趋势、预测与竞争分析

Enterprise Manufacturing Intelligence Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3个工作天内

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简介目录

企业製造智慧趋势与预测

预计到 2030 年，全球企业製造智慧市场将达到 109 亿美元，2024 年至 2030 年复合年增长率为 15.1%。该市场的主要驱动力是製造业中自动化的日益普及、对法规遵从性的日益重视以及对提高业务效率的需求不断增长。全球企业製造智慧市场的未来前景广阔，製药和生命科学、医疗、化学和快速消费品市场充满机会。

Lucintel 预测，云端领域将在预测期内实现最高成长。

製药和生命科学仍然是该市场最大的部分。

预计亚太地区在预测期内将出现最高成长。

企业製造智慧市场的新兴趋势

由于技术进步和生产要求的变化，企业製造智慧 (EMI) 市场正在见证许多新趋势。这些正在塑造製造智慧及其跨产业应用的未来。

  • 整合人工智慧和机器学习：EMI 系统越来越多地整合人工智慧和机器学习，以改善预测分析和自动化决策。此类技术有助于准确预测、异常识别和生产线流程优化，从而提高营运效率水准。
  • 即时资料分析：即时资料分析已成为洞察製造营运的流行方式。这使得能够即时回应问题、动态流程调整和明智的决策，从而提高整体生产效率。
  • 物联网和感测器整合：物联网设备和感测器与 EMI 系统的整合正在不断增长。这可以从各种来源收集更全面的资料，提高製造流程的可见度并实现更准确的监视和控制。
  • 强化资料安全：随着资料整合的增加，EMI 系统内的网路安全工作成为人们关注的焦点。在这方面，加密方法得到了加强，存取控制也得到了加强，同时检测技术也得到了显着改进，以保护敏感的製造相关资讯。

这些趋势透过提高可预测性、利用资料的即时可用性以及整合系统功能，正在推动 EMI 市场的重大重塑。虽然对人工智慧的关注强调物联网连接以获得更好的安全功能，扩充性为各个製造领域的多元化提供了空间。

企业製造智慧市场的最新趋势

由于先进技术的整合和资料主导决策改进的努力，企业製造智慧（EMI）市场正在不断扩大。这些变化将影响製造公司如何采用 EMI 系统来提高生产力和效率。

  • 人工智慧主导的预测分析：人工智慧与 EMI 系统的整合正在支援预测分析的进步。更容易、更准确地预测设备故障和流程浪费，从而实现主动回应和更有效率的营运。
  • 增强的即时监控：创造新的即时监控工具提供有关製造过程的详细且及时的资讯。这使得製造商能够透过提高可见度和报告来快速识别营运问题，从而提高整体效率。
  • 物联网整合：利用物联网技术可以更好地收集资料并在 EMI 系统内整合。物联网设备和感测器获取有关机器性能、环境方面和生产参数的全面信息，从而实现更好的决策流程和优化运营。
  • 模组化和可扩展平台：最近的趋势已经出现了考虑到不同要求和预算的模组化和可扩展 EMI 平台。在这方面，此类平台具有可自订的功能，使所有製造商，无论大小，都能以经济实惠的方式实施先进的製造智慧。

这些进步改善了预测分析、即时监控、物联网整合、可扩展性，甚至与 EMI 市场相关的资料安全性。透过专注于这些领域，我们可以提高製造效率，同时提供强大的管理工具来优化工厂绩效。

企业製造智慧市场的策略成长机会

新兴技术进步和产业动态为企业製造智慧 (EMI) 市场创造了策略成长机会。这涵盖了各种应用，显示了该领域的成长和创新潜力。

  • 整合人工智慧和机器学习：由人工智慧和机器学习支援的高级预测分析是一个巨大的成长机会。这可以提高预测准确性、维护计划、流程优化，并提供提高业务效率的见解。
  • 扩展到新兴市场：将 EMI 解决方案扩展到新兴市场是一个显着的成长机会。透过客製化解决方案以满足这些地区製造商的特定需求和预算限制，我们可以开拓推动全球成长的新细分市场。
  • 开发模组化解决方案：开发模组化或可自订的 EMI 解决方案，以满足製造商的不同要求。这些可扩展平台的规模适合不同的业务，使其适合更广泛的市场渗透。
  • 专注于即时资料和物联网整合：透过改进的即时资料分析，将物联网技术整合到 EMI 系统中，可提高营运可见度和控制力。这些趋势将促进更动态的决策和流程调整，进而促进市场成长。

这些成长机会突显了整个 EMI 市场的扩展和创新范围。透过专注于人工智慧整合、新兴市场、模组化解决方案、即时资料分析和资料安全，公司可以推动满足不断变化的製造业需求的成长策略。

企业製造智慧市场驱动因素与挑战

EMI 市场受到影响其成长和发展的众多驱动因素和挑战的影响。其中包括技术发展、经济状况、监管要求等。

企业製造智慧市场的驱动因素包括：

1.技术进步：人工智慧、机器学习和物联网渗透等创新正在推动 EMI 市场的成长。这些功能支援预测分析、即时监控和资料集成，以提高製造效率。

2.对资料主导决策的需求增加：一个主要驱动因素是需要资料主导的洞察力来优化製造流程和降低营运成本。 EMI 系统提供有价值的分析和报告工具来支援明智的决策。

3. 工业 4.0 的扩展：支撑工业 4.0 的自动化和数数位化概念的采用将增加对先进 EMI 系统的需求。让智慧技术能够轻鬆整合到生产流程中的系统至关重要。

4. 专注于业务效率：减少停机时间和提高营运效率是采用 EMI 解决方案的主要驱动力。先进的分析和即时监控可帮助製造商提高生产率并节省成本。

企业製造智慧市场面临的挑战包括：

1. 实施成本高：实施最先进的 EMI 系统成本高昂，特别是对于中小型企业 (SME) 而言。因此，高昂的Start-Ups成本可能会导致想要实施该技术的精打细算的製造商难以获得该技术。

2. 整合复杂性：将 EMI 系统与现有製造基础设施整合可能很复杂。这需要专业知识来确保相容性和无缝操作，并且在实施过程中存在挑战。

技术进步、资料主导决策的需求、工业 4.0 的采用、效率关注和新兴市场正在推动 EMI 市场的成长。然而，为了使技术成功渗透市场，必须解决实施成本、整合复杂性和资料安全等挑战。

该研究报告按产品、部署方法、整合方法、最终用途和区域提供了全球企业製造智慧市场趋势和预测。

企业製造智慧市场国家展望

随着製造商寻求更复杂的解决方案来提高生产力、效率和基于资料的决策，企业製造智慧 (EMI) 市场正在迅速发展。最近的趋势受到技术进步、资料可用性增加以及跨製造流程整合的需求的影响。

  • 美国：在美国，EMI 系统与人工智慧和机器学习的整合正受到高度关注。这可以实现预测性维护并提高预测准确性，从而使製造商能够优化营运并减少停机时间。我们也专注于开发用户友好的介面和用户体验。
  • 中国：中国正在透过具有成本效益的方法和更强大的资料整合来推动 EMI 市场。我们的目标是开发一个可以处理来自各种来源的巨量资料集的平台，从而提高整个流程的效率和回应能力。
  • 德国：德国在将工业 4.0 技术整合到 EMI 系统方面处于领先地位。发展包括先进的物联网整合和先进的网路安全措施，以确保製造网路上的资料和安全通讯。这项重点与德国以精密为导向的高品质製造理念不谋而合。
  • 印度：印度的 EMI 市场正在不断成长，重点是针对中小企业（SME）的经济实惠、可扩展的解决方案。特别是，我们正在采取一种方法，允许许多公司透过开发模组化平台来获得先进的製造智能，这些平台以较低的成本提供他们所需的功能。
  • 日本：日本的 EMI 产业正在考虑将机器人自动化资料纳入智慧系统，从而向前发展。最近的改进包括增强了对製造机器人性能进行详细分析的功能。这适合以高科技为主的日本製造业，在机器人性能整合趋势上走向产业化的趋势。

常问问题

Q.1 企业製造智慧的市场规模有多大？

A1. 到 2030 年，全球企业製造智慧市场预计将达到 109 亿美元。

Q.2 企业製造智慧市场的成长预测如何？

A2. 2024年至2030年，全球企业製造智慧市场预计复合年增长率为15.1%。

Q.3 影响企业製造智慧市场成长的关键驱动因素有哪些？

A3. 该市场的主要驱动力是製造业中自动化的日益普及、对法规遵从性的日益关注以及对提高业务效率的需求不断增长。

Q4.市场的主要细分市场是：

A4. 企业製造智慧市场前景广阔，製药和生命科学、医疗、化学和快速消费品市场充满机会。

Q5. 企业製造智慧化的主要企业有哪些？

A5.主要企业製造智慧企业如下：

  • ABB
  • Aspen Technology
  • Dassault Systemes
  • Epicor Software Corporation
  • Honeywell International
  • Oracle Corporation
  • Parsec Automation
  • Qisoft
  • Rockwell Automation
  • SAP and Schneider Electric
  • Schneider Electric

Q6.未来最大的细分市场是什么？

A6.Lucintel 预测，云端运算将在预测期内达到最高成长。

Q7. 未来五年预计哪些地区的市场成长最大？

A7. 预计亚太地区将在预测期内达到最高成长。

Q8. 可以客製化报告吗？

A8. 是的，Lucintel 提供 10% 的客製化服务，无需额外付费。

目录

第一章执行摘要

第二章全球企业製造智慧市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第三章 2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球企业製造智慧市场趋势（2018-2023）与预测（2024-2030）
  • 全球企业製造智慧市场（依产品分类）
    • 软体
    • 服务
  • 全球企业製造智慧市场（按部署方法）
    • 本地
    • 云
    • 一经请求
  • 全球企业製造智慧市场（按整合方法）
    • 凹入式
    • 独立型
  • 全球企业製造智慧市场（按最终用途）
    • 製药/生命科学
    • 医疗保健
    • 化学
    • 日常消费品（FMCG）

第四章 2018-2030年区域市场趋势及预测分析

  • 全球企业製造智慧市场（按地区）
  • 北美企业製造智慧市场
  • 欧洲企业製造智慧市场
  • 亚太地区企业製造智慧市场
  • 其他地区企业製造智慧市场

第五章 竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
    • 全球企业製造智慧市场成长机会：依产品分类
    • 全球企业製造智慧市场成长机会：按部署方法
    • 全球企业製造智慧市场成长机会：按整合方法
    • 全球企业製造智慧市场成长机会：依最终用途分类
    • 全球企业製造智慧市场成长机会：按地区
  • 全球企业製造智慧市场的新兴趋势
  • 战略分析
    • 新产品开发
    • 全球企业製造智慧市场容量扩张
    • 全球企业製造智慧市场的併购和合资企业
    • 认证和许可

第七章主要企业概况

  • ABB
  • Aspen Technology
  • Dassault Systemes
  • Epicor Software Corporation
  • Honeywell International
  • Oracle Corporation
  • Parsec Automation
  • Qisoft
  • Rockwell Automation
  • SAP
  • Schneider Electric
简介目录

Enterprise Manufacturing Intelligence Trends and Forecast

The future of the global enterprise manufacturing intelligence market looks promising with opportunities in the pharmaceutical and life science, medical, chemical and FMCG markets. The global enterprise manufacturing intelligence market is expected to reach an estimated $10.9 billion by 2030 with a CAGR of 15.1% from 2024 to 2030. The major drivers for this market are growing adoption of automation in the manufacturing sector, rising emphasis on regulatory compliances, and increasing need for enhanced operational efficiency.

Lucintel forecasts that cloud segment is expected to witness the highest growth over the forecast period.

Within this market, pharmaceutical and life sciences will remain the largest segment.

APAC is expected to witness the highest growth over the forecast period.

Emerging Trends in the Enterprise Manufacturing Intelligence Market

The enterprise manufacturing intelligence (EMI) market is going through a number of emerging trends driven by technological advances and changing requirements in production. These are shaping the future of manufacturing intelligence and its applications across industries.

  • AI as well as Machine Learning Integration: EMI systems are increasingly incorporating AI and machine learning to improve predictive analytics and automated decision-making. Such technologies facilitate precise predictions, identifying anomalies, optimizing production line processes resulting in increased efficiency levels at the operational side.
  • Real Time Data Analytics: The emphasis on real-time data analytics has grown as a way of gaining insight into manufacturing operations. This allows for immediate responses to issues, dynamic process adjustments, informed decision making hence boosting production efficiency overall.
  • IoT plus Sensor Integration: The integration of IoT devices and sensors with EMI systems is expanding. This ensures that more comprehensive data is collected from different sources thereby improving visibility into manufacturing processes while supporting more accurate monitoring or control.
  • Enhanced Data Security: As data integration increases, attention is focused on cyber security efforts within EMI systems. In this regard, encryption methods have been enhanced, access controls fortified while detection technology greatly improved towards safeguarding sensitive information associated with manufacturing.

These trends are contributing to major reshaping of EMI market by enhancing predictability, leveraging real time usage of data and integrating system capabilities; AI focus emphasizes IoT connectivity for better security features while scalability gives room for diversification in various sectors of manufacturing .

Recent Developments in the Enterprise Manufacturing Intelligence Market

The market for enterprise manufacturing intelligence (EMI) is growing with efforts to integrate advanced technologies and improve data-driven decision making. These changes affect how manufacturing firms employ EMI systems to boost their productivity as well as efficiency.

  • AI-Driven Predictive Analytics: The integration of AI into EMI systems has supported the advancement of predictive analytics. Now, it is easier to predict equipment faults and process wastages more accurately leading to proactive servicing and efficient operations.
  • Enhanced Real-Time Monitoring: Innovative real-time monitoring tools have in place detailed and timeous information regarding manufacturing processes. Manufacturers are therefore enabled in faster identification of operational issues through improved visualization and reporting capabilities that enhance overall efficiency.
  • IoT Integration: The use of IoT technology has resulted in better data collection and integration within EMI systems. As such, IoT devices and sensors capture comprehensive information on machine performance, environmental aspects and production parameters hence leading to better decision-making processes as well as optimized operations.
  • Modular and Scalable Platforms: Recent developments have included modular scalable EMI platforms which take account of various requirements as well as budgets. In this regard, such platforms come with customizable features that make implementation of advanced manufacturing intelligence affordable for all manufacturers irrespective of their sizes.

These advances improve predictive analytics, real-time monitoring, IoT integration, scalability, plus data security associated with the EMI marketplace. Focusing on these areas improves manufacturing efficiency while providing sturdy management tools for a factory's performance optimization.

Strategic Growth Opportunities for Enterprise Manufacturing Intelligence Market

Emerging technology advancements and industry dynamics open up strategic growth opportunities in the enterprise manufacturing intelligence (EMI) market. This spans different applications, indicative of the potential for growth and innovation within the sector.

  • AI and Machine Learning Integration: Advanced predictive analytics leveraging on AI and machine learning represents a major opportunity for growth. This advances forecasting accuracy, maintenance scheduling, and process optimization while offering insights that increase operational efficiency.
  • Expansion into Emerging Markets: Expanding EMI solutions to emerging markets serve as notable expansion opportunities. Customizing solutions that meet manufacturers' specific needs and budget constraints in these regions can unlock new market segments driving global growth.
  • Development of Modular Solutions: A modular or customizable EMI solution creation addresses varying manufacturer requirements. These scalable platforms are available in sizes suited to different operations making them suitable for wider market penetration.
  • Focus on Real-Time Data and IoT Integration: Through real-time data analytics improvement, integration with IOT technologies into EMI systems creates possibilities for better operational visibility and control. Such trend facilitates more dynamic decision making as well as process adjustment hence leading to market growth.

The above discussed growth opportunities highlight room for expansion & innovation across the EMI marketplace. By focusing on AI integration, emerging markets, modular solutions, real-time data analysis & security of your data, companies can drive their growth strategies meeting evolving needs of manufacturing industries.

Enterprise Manufacturing Intelligence Market Driver and Challenges

The EMI market is influenced by a plethora of drivers and challenges, which have an impact on its growth and progression. These include technological developments, economic conditions, and regulatory requirements.

The factors responsible for driving the enterprise manufacturing intelligence market include:

1. Technological Advancements: Innovations in the form of AI, machine learning, and IoT penetration are driving the growth in the EMI market. They enhance predictive analytics, real-time monitoring, and data integration to improve manufacturing efficiency.

2. Increasing Demand for Data-Driven Decision Making: A major driver is the need for data-driven insights to optimize manufacturing processes and reduce operational costs. Valuable analytics and reporting tools provided by EMI systems can support informed decision-making.

3. Expansion of Industry 4.0: The demand for sophisticated EMI systems increases through embracing automation as well as digitization concepts underpinning Industry 4. Systems that allow easy integration of intelligent technologies into their production processes will be indispensable.

4. Focus on Operational Efficiency: Reducing downtime coupled with improving operational efficiency are key drivers behind adoption of EMI solutions. Through advanced analytics as well as real-time monitoring manufacturers stand good chances to realize higher productivity and cost savings.

Challenges in the enterprise manufacturing intelligence market are:

1. High Implementation Costs: In particular small and medium-sized enterprises (SMEs), implementing state-of-the-art EMI systems can be costly. Therefore, large start-up expenses could limit accessibility to budget-conscious manufactures wishing to adopt this technology.

2. Integration Complexity: Integrating existing manufacturing infrastructure with EMI systems may be complicated. This calls for expertise in ensuring compatibility as well as seamless operation with challenges during implementation process.

Technological advancements, demand for data-driven decision-making, Industry 4.0 adoption, emphasis on efficiency and emerging markets are driving growth in the EMI market. Nevertheless, there are challenges such as implementation costs, integration complexity and data security that need to be addressed in order to ensure successful penetration of the market with technology.

List of Enterprise Manufacturing Intelligence Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies, enterprise manufacturing intelligence companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the enterprise manufacturing intelligence companies profiled in this report include-

  • ABB
  • Aspen Technology
  • Dassault Systemes
  • Epicor Software Corporation
  • Honeywell International
  • Oracle Corporation
  • Parsec Automation
  • Qisoft
  • Rockwell Automation
  • Sap
  • Schneider Electric

Enterprise Manufacturing Intelligence Market by Segment

The study includes trends and forecast for the global enterprise manufacturing intelligence market by offering, deployment type, integration, end use, and region.

Enterprise Manufacturing Intelligence Market by Offering [Analysis by Value from 2018 to 2030]:

  • Software
  • Services

Enterprise Manufacturing Intelligence Market by Deployment Type [Analysis by Value from 2018 to 2030]:

  • On-Premise
  • Cloud
  • On-Demand

Enterprise Manufacturing Intelligence Market by Integration [Analysis by Value from 2018 to 2030]:

  • Embedded
  • Standalone

Enterprise Manufacturing Intelligence Market by End Use [Analysis by Value from 2018 to 2030]:

  • Pharmaceutical and Life Sciences
  • Medical
  • Chemical
  • FMCG

Enterprise Manufacturing Intelligence Market by Region [Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

Country Wise Outlook for the Enterprise Manufacturing Intelligence Market

The enterprise manufacturing intelligence (EMI) market is evolving rapidly as manufacturers look for more complex solutions to improve productivity, efficiency and decision-making based on data. Recent developments are influenced by technology evolution, increased availability of data, and the need for integration across manufacturing processes.

  • United States: In U.S., integrating EMI systems with AI and machine learning has received significant attention. This allows for predictive maintenance and better forecasting which enables optimization of operations by manufacturers thus reducing downtime. Additionally, efforts to develop user friendly interfaces as well as user experience are being made.
  • China: China is pushing its EMI market ahead with cost effective approaches and even greater data integration in a large scale. It aims at developing platforms capable of handling big data sets from varied sources that will enhance the overall process efficiency and responsiveness.
  • Germany: Germany leads in merging Industry 4.0 technologies into EMI systems. Developments include advanced IoT integration and sophisticated cybersecurity measures for ensuring data integrity and secure communications over manufacturing networks. This focus aligns well with Germany's precision-oriented quality manufacturing ethos.
  • India: The Indian EMI market has been growing with a bias towards affordable scalable solutions targeting SMEs (small medium enterprises). Among other things, this entails developing modular platforms that provide essential functionalities at lower costs; an approach that makes advanced manufacturing intelligence accessible to many companies.
  • Japan: Japan's EMI sector is progressing by looking at including robotics' automation data into intelligence systems. Some recent improvements include enhanced ability to analyze manufacturing robot performance in depth which suits Japan's high-tech focused manufacturing drive toward industrialization trends on robotic performance integration trends .

Features of the Global Enterprise Manufacturing Intelligence Market

Market Size Estimates: Enterprise Manufacturing Intelligence Market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Enterprise manufacturing intelligence market size by various segments, such as by offering, deployment type, integration, end use, and region in terms of value ($B).

Regional Analysis: Enterprise manufacturing intelligence market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different offerings, deployment types, integrations, end uses, and regions for the enterprise manufacturing intelligence market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the enterprise manufacturing intelligence market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

If you are looking to expand your business in this market or adjacent markets, then contact us. We have done hundreds of strategic consulting projects in market entry, opportunity screening, due diligence, supply chain analysis, M & A, and more.

FAQ

Q.1 What is the enterprise manufacturing intelligence market size?

Answer: The global enterprise manufacturing intelligence market is expected to reach an estimated $10.9 billion by 2030.

Q.2 What is the growth forecast for enterprise manufacturing intelligence market?

Answer: The global enterprise manufacturing intelligence market is expected to grow with a CAGR of 15.1% from 2024 to 2030

Q.3 What are the major drivers influencing the growth of the enterprise manufacturing intelligence market?

Answer: The major drivers for this market are growing adoption of automation in the manufacturing sector, rising emphasis on regulatory compliances, and increasing need for enhanced operational efficiency.

Q4. What are the major segments for enterprise manufacturing intelligence market?

Answer: The future of the enterprise manufacturing intelligence market looks promising with opportunities in the pharmaceutical and life science, medical, chemical and FMCG markets.

Q5. Who are the key enterprise manufacturing intelligence companies?

Answer: Some of the key enterprise manufacturing intelligence companies are as follows:

  • ABB
  • Aspen Technology
  • Dassault Systemes
  • Epicor Software Corporation
  • Honeywell International
  • Oracle Corporation
  • Parsec Automation
  • Qisoft
  • Rockwell Automation
  • SAP and Schneider Electric
  • Schneider Electric

Q6. Which enterprise manufacturing intelligence market segment will be the largest in future?

Answer: Lucintel forecast that cloudis expected to witness the highest growth over the forecast period.

Q7. In enterprise manufacturing intelligence market, which region is expected to be the largest in next 5 years?

Answer: APAC is expected to witness the highest growth over the forecast period.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the enterprise manufacturing intelligence market by offering (software, services), deployment type (on-premise, cloud, on-demand), integration (embedded, standalone), end use (pharmaceutical and life sciences, medical, chemical, FMCG), and region (North America, Europe, Asia Pacific, and the Rest of the World)
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
  • Market Report

Table of Contents

1. Executive Summary

2. Global Enterprise Manufacturing Intelligence Market : Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global Enterprise Manufacturing Intelligence Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global Enterprise Manufacturing Intelligence Market by Offering
    • 3.3.1: Software
    • 3.3.2: Services
  • 3.4: Global Enterprise Manufacturing Intelligence Market by Deployment Type
    • 3.4.1: On-Premise
    • 3.4.2: Cloud
    • 3.4.3: On-Demand
  • 3.5: Global Enterprise Manufacturing Intelligence Market by Integration
    • 3.5.1: Embedded
    • 3.5.2: Standalone
  • 3.6: Global Enterprise Manufacturing Intelligence Market by End Use
    • 3.6.1: Pharmaceutical and Life Sciences
    • 3.6.2: Medical
    • 3.6.3: Chemical
    • 3.6.4: FMCG

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global Enterprise Manufacturing Intelligence Market by Region
  • 4.2: North American Enterprise Manufacturing Intelligence Market
    • 4.2.1: North American Enterprise Manufacturing Intelligence Market by Deployment Type: On-Premise, Cloud, and On-Demand
    • 4.2.2: North American Enterprise Manufacturing Intelligence Market by End Use: Pharmaceutical and Life Sciences, Medical, Chemical, and FMCG
  • 4.3: European Enterprise Manufacturing Intelligence Market
    • 4.3.1: European Enterprise Manufacturing Intelligence Market by Deployment Type: On-Premise, Cloud, and On-Demand
    • 4.3.2: European Enterprise Manufacturing Intelligence Market by End Use: Pharmaceutical and Life Sciences, Medical, Chemical, and FMCG
  • 4.4: APAC Enterprise Manufacturing Intelligence Market
    • 4.4.1: APAC Enterprise Manufacturing Intelligence Market by Deployment Type: On-Premise, Cloud, and On-Demand
    • 4.4.2: APAC Enterprise Manufacturing Intelligence Market by End Use: Pharmaceutical and Life Sciences, Medical, Chemical, and FMCG
  • 4.5: ROW Enterprise Manufacturing Intelligence Market
    • 4.5.1: ROW Enterprise Manufacturing Intelligence Market by Deployment Type: On-Premise, Cloud, and On-Demand
    • 4.5.2: ROW Enterprise Manufacturing Intelligence Market by End Use: Pharmaceutical and Life Sciences, Medical, Chemical, and FMCG

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global Enterprise Manufacturing Intelligence Market by Offering
    • 6.1.2: Growth Opportunities for the Global Enterprise Manufacturing Intelligence Market by Deployment Type
    • 6.1.3: Growth Opportunities for the Global Enterprise Manufacturing Intelligence Market by Integration
    • 6.1.4: Growth Opportunities for the Global Enterprise Manufacturing Intelligence Market by End Use
    • 6.1.5: Growth Opportunities for the Global Enterprise Manufacturing Intelligence Market by Region
  • 6.2: Emerging Trends in the Global Enterprise Manufacturing Intelligence Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Enterprise Manufacturing Intelligence Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Enterprise Manufacturing Intelligence Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: ABB
  • 7.2: Aspen Technology
  • 7.3: Dassault Systemes
  • 7.4: Epicor Software Corporation
  • 7.5: Honeywell International
  • 7.6: Oracle Corporation
  • 7.7: Parsec Automation
  • 7.8: Qisoft
  • 7.9: Rockwell Automation
  • 7.10: SAP
  • 7.10: Schneider Electric