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市場調查報告書
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1559985

企業製造智慧市場報告：2030 年趨勢、預測與競爭分析

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個工作天內

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簡介目錄

企業製造智慧趨勢與預測

預計到 2030 年，全球企業製造智慧市場將達到 109 億美元，2024 年至 2030 年複合年成長率為 15.1%。該市場的主要驅動力是製造業中自動化的日益普及、對法規遵從性的日益重視以及對提高業務效率的需求不斷成長。全球企業製造智慧市場的未來前景廣闊，製藥和生命科學、醫療、化學和快速消費品市場充滿機會。

Lucintel 預測，雲端領域將在預測期內實現最高成長。

製藥和生命科學仍然是該市場最大的部分。

預計亞太地區在預測期內將出現最高成長。

企業製造智慧市場的新興趨勢

由於技術進步和生產要求的變化，企業製造智慧 (EMI) 市場正在見證許多新趨勢。這些正在塑造製造智慧及其跨產業應用的未來。

  • 整合人工智慧和機器學習：EMI 系統擴大整合人工智慧和機器學習，以改善預測分析和自動化決策。此類技術有助於準確預測、異常識別和生產線流程最佳化，從而提高營運效率水準。
  • 即時資料分析：即時資料分析已成為洞察製造營運的流行方式。這使得能夠即時回應問題、動態流程調整和明智的決策，從而提高整體生產效率。
  • 物聯網和感測器整合：物聯網設備和感測器與 EMI 系統的整合正在不斷成長。這可以從各種來源收集更全面的資料，提高製造流程的可見度並實現更準確的監視和控制。
  • 強化資料安全：隨著資料整合的增加，EMI 系統內的網路安全工作成為人們關注的焦點。在這方面，加密方法得到了加強，存取控制也得到了加強，同時檢測技術也得到了顯著改進，以保護敏感的製造相關資訊。

這些趨勢透過提高可預測性、利用資料的即時可用性以及整合系統功能，正在推動 EMI 市場的重大重塑。雖然對人工智慧的關注強調物聯網連接以獲得更好的安全功能，擴充性為各個製造領域的多元化提供了空間。

企業製造智慧市場的最新趨勢

由於先進技術的整合和資料主導決策改進的努力，企業製造智慧（EMI）市場正在不斷擴大。這些變化將影響製造公司如何採用 EMI 系統來提高生產力和效率。

  • 人工智慧主導的預測分析：人工智慧與 EMI 系統的整合正在支援預測分析的進步。更容易、更準確地預測設備故障和流程浪費，從而實現主動回應和更有效率的營運。
  • 增強的即時監控：創造新的即時監控工具提供有關製造過程的詳細且及時的資訊。這使得製造商能夠透過提高可見度和報告來快速識別營運問題，從而提高整體效率。
  • 物聯網整合：利用物聯網技術可以更好地收集資料並在 EMI 系統內整合。物聯網設備和感測器獲取有關機器性能、環境方面和生產參數的全面資訊，從而實現更好的決策流程和最佳化營運。
  • 模組化和可擴展平台：最近的趨勢已經出現了考慮到不同要求和預算的模組化和可擴展 EMI 平台。在這方面，此類平台具有可自訂的功能，使所有製造商，無論大小，都能以經濟實惠的方式實施先進的製造智慧。

這些進步改善了預測分析、即時監控、物聯網整合、可擴展性，甚至與 EMI 市場相關的資料安全性。透過專注於這些領域，我們可以提高製造效率，同時提供強大的管理工具來最佳化工廠績效。

企業製造智慧市場的策略成長機會

新興技術進步和產業動態為企業製造智慧 (EMI) 市場創造了策略成長機會。這涵蓋了各種應用，顯示了該領域的成長和創新潛力。

  • 整合人工智慧和機器學習：由人工智慧和機器學習支援的高級預測分析是一個巨大的成長機會。這可以提高預測準確性、維護計劃、流程最佳化，並提供提高業務效率的見解。
  • 擴展到新興市場：將 EMI 解決方案擴展到新興市場是一個顯著的成長機會。透過客製化解決方案以滿足這些地區製造商的特定需求和預算限制，我們可以開拓推動全球成長的新細分市場。
  • 開發模組化解決方案：開發模組化或可自訂的 EMI 解決方案，以滿足製造商的不同要求。這些可擴展平台的規模適合不同的業務，使其適合更廣泛的市場滲透。
  • 專注於即時資料和物聯網整合：透過改進的即時資料分析，將物聯網技術整合到 EMI 系統中，可提高營運可見度和控制力。這些趨勢將促進更動態的決策和流程調整，進而促進市場成長。

這些成長機會突顯了整個 EMI 市場的擴展和創新範圍。透過專注於人工智慧整合、新興市場、模組化解決方案、即時資料分析和資料安全，公司可以推動滿足不斷變化的製造業需求的成長策略。

企業製造智慧市場促進因素與挑戰

EMI 市場受到影響其成長和發展的眾多促進因素和挑戰的影響。其中包括技術發展、經濟狀況、監管要求等。

企業製造智慧市場的促進因素包括：

1.技術進步：人工智慧、機器學習和物聯網滲透等創新正在推動 EMI 市場的成長。這些功能支援預測分析、即時監控和資料整合，以提高製造效率。

2.對資料主導決策的需求增加：一個主要促進因素是需要資料主導的洞察力來最佳化製造流程和降低營運成本。 EMI 系統提供有價值的分析和報告工具來支援明智的決策。

3. 工業 4.0 的擴展：支撐工業 4.0 的自動化和數位化概念的採用將增加對先進 EMI 系統的需求。讓智慧技術能夠輕鬆整合到生產流程中的系統至關重要。

4. 專注於業務效率：減少停機時間和提高營運效率是採用 EMI 解決方案的主要驅動力。先進的分析和即時監控可幫助製造商提高生產率並節省成本。

企業製造智慧市場面臨的挑戰包括：

1. 實施成本高：實施最先進的 EMI 系統成本高昂，特別是對於中小型企業 (SME) 而言。因此，高昂的Start-Ups成本可能會導致想要實施該技術的精打細算的製造商難以獲得該技術。

2. 整合複雜性：將 EMI 系統與現有製造基礎設施整合可能很複雜。這需要專業知識來確保相容性和無縫操作，並且在實施過程中存在挑戰。

技術進步、資料主導決策的需求、工業 4.0 的採用、效率關注和新興市場正在推動 EMI 市場的成長。然而，為了使技術成功滲透市場，必須解決實施成本、整合複雜性和資料安全等挑戰。

該研究報告按產品、部署方法、整合方法、最終用途和區域提供了全球企業製造智慧市場趨勢和預測。

企業製造智慧市場國家展望

隨著製造商尋求更複雜的解決方案來提高生產力、效率和基於資料的決策，企業製造智慧 (EMI) 市場正在迅速發展。最近的趨勢受到技術進步、資料可用性增加以及跨製造流程整合的需求的影響。

  • 美國：在美國，EMI 系統與人工智慧和機器學習的整合正受到高度關注。這可以實現預測性維護並提高預測準確性，從而使製造商能夠最佳化營運並減少停機時間。我們也專注於開發方便用戶使用的介面和用戶體驗。
  • 中國：中國正在透過具有成本效益的方法和更強大的資料整合來推動 EMI 市場。我們的目標是開發一個可以處理來自各種來源的巨量資料集的平台，從而提高整個流程的效率和回應能力。
  • 德國：德國在將工業 4.0 技術整合到 EMI 系統方面處於領先地位。發展包括先進的物聯網整合和先進的網路安全措施，以確保製造網路上的資料和安全通訊。這項重點與德國以精密為導向的高品質製造理念不謀而合。
  • 印度：印度的 EMI 市場正在不斷成長，重點是針對中小企業（SME）的經濟實惠、可擴展的解決方案。特別是，我們正在採取一種方法，允許許多公司透過開發模組化平台來獲得先進的製造智慧，這些平台以較低的成本提供他們所需的功能。
  • 日本：日本的 EMI 產業正在考慮將機器人自動化資料納入智慧系統，從而向前發展。最近的改進包括增強了對製造機器人性能進行詳細分析的功能。這適合以高科技為主的日本製造業，在機器人性能整合趨勢上走向產業化的趨勢。

常問問題

Q.1 企業製造智慧的市場規模有多大？

A1. 到 2030 年，全球企業製造智慧市場預計將達到 109 億美元。

Q.2 企業製造智慧市場的成長預測如何？

A2. 2024年至2030年，全球企業製造智慧市場預計複合年成長率為15.1%。

Q.3 影響企業製造智慧市場成長的關鍵促進因素有哪些？

A3. 該市場的主要驅動力是製造業中自動化的日益普及、對法規遵從性的日益關注以及對提高業務效率的需求不斷成長。

Q4.市場的主要細分市場是：

A4. 企業製造智慧市場前景廣闊，製藥和生命科學、醫療、化學和快速消費品市場充滿機會。

Q5. 企業製造智慧化的主要企業有哪些？

A5.主要企業製造智慧企業如下：

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

Q6.未來最大的細分市場是什麼？

A6.Lucintel 預測，雲端運算將在預測期內達到最高成長。

Q7. 未來五年預計哪些地區的市場成長最大？

A7. 預計亞太地區將在預測期內達到最高成長。

Q8. 可以客製化報告嗎？

A8. 是的，Lucintel 提供 10% 的客製化服務，無需額外付費。

目錄

第1章執行摘要

第2章全球企業製造智慧市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球企業製造智慧市場趨勢（2018-2023）與預測（2024-2030）
  • 全球企業製造智慧市場（依產品分類）
    • 軟體
    • 服務
  • 全球企業製造智慧市場（按部署方法）
    • 本地
    • 雲
    • 一經請求
  • 全球企業製造智慧市場（按整合方法）
    • 凹入式
    • 獨立型
  • 全球企業製造智慧市場（按最終用途）
    • 製藥/生命科學
    • 醫療保健
    • 化學
    • 日常消費品（FMCG）

第4章 2018-2030年區域市場趨勢及預測分析

  • 全球企業製造智慧市場（按地區）
  • 北美企業製造智慧市場
  • 歐洲企業製造智慧市場
  • 亞太地區企業製造智慧市場
  • 其他地區企業製造智慧市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球企業製造智慧市場成長機會：依產品分類
    • 全球企業製造智慧市場成長機會：按部署方法
    • 全球企業製造智慧市場成長機會：按整合方法
    • 全球企業製造智慧市場成長機會：依最終用途分類
    • 全球企業製造智慧市場成長機會：按地區
  • 全球企業製造智慧市場的新興趨勢
  • 戰略分析
    • 新產品開發
    • 全球企業製造智慧市場容量擴張
    • 全球企業製造智慧市場的併購和合資企業
    • 認證和許可

第7章主要企業概況

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

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