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1586479

營運智慧市場 - 全球產業規模、佔有率、趨勢、機會和預測，按部署、按組件、按應用、按地區和競爭細分，2019-2029F

Operational Intelligence Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Deployment, By Component, By Application, By Region & Competition, 2019-2029F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023年全球營運智慧市場價值為29.8億美元，預計到2029年將達到59.5億美元，到2029年複合年成長率為12.21%。

市場概況
預測期 2025-2029
2023 年市場規模 29.8億美元
2029 年市場規模 59.5億美元
2024-2029 年複合年成長率 12.21%
成長最快的細分市場 基於雲端
最大的市場 北美洲

營運智慧是指對資料的即時分析，使組織能夠增強決策並最佳化其營運。透過利用先進的分析、機器學習和巨量資料技術，營運智慧可以提供組織績效的全面視圖，從而能夠及時回應新興趨勢、營運挑戰和市場動態。隨著企業在競爭格局中越來越重視敏捷性和回應能力，對營運智慧解決方案的需求正在激增。製造、醫療保健、零售和物流等各行業的公司正在採用這些解決方案來提高營運效率、降低成本並提高客戶滿意度。物聯網設備和感測器的激增進一步推動了這種成長，因為它們產生大量即時資料，營運智慧工具可以分析這些數據以獲得可行的見解。雲端運算的興起使得更容易獲得營運智慧解決方案，使各種規模的組織都能夠利用高階分析，而無需大量的前期投資。對數據驅動決策的日益重視正在推動更多組織將營運智慧整合到其策略框架中，從而推動市場擴張。隨著技術不斷發展，隨著人工智慧和機器學習的創新，營運智慧工具變得越來越複雜，能夠實現更深入的洞察和預測能力。這一趨勢預計將為市場內的供應商和服務提供者創造新的機會，形成以持續改進和創新為特徵的競爭格局。金融和醫療保健等行業的監管壓力和合規需求正在鼓勵組織採用營運智慧解決方案來有效監控其營運並確保遵守行業標準。隨著組織越來越認知到營運智慧在提高整體績效和實現業務目標方面的策略價值，市場有望實現強勁成長，預計各行業的投資和採用率都會增加。數位轉型措施的整合以及對無縫整合資料解決方案的需求將進一步推動營運智慧市場的崛起，使其成為現代企業策略的重要組成部分。隨著我們不斷前進，在對即時洞察、預測分析以及最終將原始資料轉化為推動組織成功的戰略資產的能力的需求的推動下，將營運智慧整合到業務營運中可能會演變成一種標準實踐。這種運作智慧的整體方法使其成為應對當今複雜業務環境不可或缺的工具。

主要市場促進因素

對即時數據分析的需求不斷增加

需要提高營運效率

監理合規和風險管理

人工智慧與機器學習的融合

主要市場挑戰

資料安全和隱私問題

實施和整合的複雜性

技能短缺和資源限制

主要市場趨勢

人工智慧和機器學習的採用率不斷提高

專注於即時數據處理

物聯網整合的興起

細分市場洞察

組件洞察

區域洞察

目錄

第 1 章：解決方案概述

  • 市場定義
  • 市場範圍
    • 涵蓋的市場
    • 研究年份
    • 主要市場區隔

第 2 章：研究方法

第 3 章：執行摘要

第 4 章：客戶之聲

第 5 章：全球營運智慧市場概述

第 6 章：全球營運智慧市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按部署（本地、基於雲端）
    • 按組件（軟體、服務）
    • 按應用（流程最佳化、資產管理、供應鏈管理、風險管理、客戶體驗管理）
    • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
  • 按公司分類 (2023)
  • 市場地圖

第 7 章：北美營運智慧市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按部署
    • 按組件
    • 按申請
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 8 章：歐洲營運智慧市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按部署
    • 按組件
    • 按申請
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 比利時

第 9 章：亞太地區營運智慧市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按部署
    • 按組件
    • 按申請
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 印尼
    • 越南

第 10 章：南美洲營運情報市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按部署
    • 按組件
    • 按申請
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷
    • 智利

第 11 章：中東和非洲營運情報市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按部署
    • 按組件
    • 按申請
    • 按國家/地區
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非
    • 土耳其
    • 以色列

第 12 章：市場動態

  • 促進要素
  • 挑戰

第 13 章：市場趨勢與發展

第 14 章：公司簡介

  • IBM Corporation
  • SAP SE
  • Oracle Corporation
  • Microsoft Corporation
  • Koch Industries, Inc.
  • Honeywell International Inc.
  • Cisco Systems, Inc.
  • Domo, Inc.
  • MicroStrategy Incorporated
  • SAS Institute Inc.

第15章：戰略建議

第16章調查會社について,免責事項

簡介目錄
Product Code: 25177

The global Operational Intelligence market was valued at USD 2.98 billion in 2023 and is expected to reach USD 5.95 billion by 2029 with a CAGR of 12.21% through 2029.

Market Overview
Forecast Period2025-2029
Market Size 2023USD 2.98 Billion
Market Size 2029USD 5.95 Billion
CAGR 2024-202912.21%
Fastest Growing SegmentCloud-based
Largest MarketNorth America

Operational Intelligence refers to the real-time analysis of data that empowers organizations to enhance decision-making and optimize their operations. By utilizing advanced analytics, machine learning, and big data technologies, operational intelligence provides a comprehensive view of an organization's performance, enabling timely responses to emerging trends, operational challenges, and market dynamics. As businesses increasingly prioritize agility and responsiveness in a competitive landscape, the demand for operational intelligence solutions is surging. Companies across various sectors, such as manufacturing, healthcare, retail, and logistics, are adopting these solutions to improve operational efficiency, reduce costs, and enhance customer satisfaction. The proliferation of Internet of Things devices and sensors further fuels this growth, as they generate vast amounts of real-time data that operational intelligence tools can analyze for actionable insights. The rise of cloud computing facilitates easier access to operational intelligence solutions, allowing organizations of all sizes to harness advanced analytics without requiring substantial upfront investments. The increasing emphasis on data-driven decision-making is pushing more organizations to integrate operational intelligence into their strategic frameworks, thus driving market expansion. As technology continues to evolve, with innovations in artificial intelligence and machine learning, operational intelligence tools are becoming more sophisticated, enabling deeper insights and predictive capabilities. This trend is expected to create new opportunities for vendors and service providers within the market, fostering a competitive landscape characterized by continuous improvement and innovation. Regulatory pressures and the need for compliance in industries such as finance and healthcare are encouraging organizations to adopt operational intelligence solutions to effectively monitor their operations and ensure adherence to industry standards. As organizations increasingly recognize the strategic value of operational intelligence in enhancing overall performance and achieving business objectives, the market is poised for robust growth, with projected increases in investments and adoption rates across diverse sectors. The convergence of digital transformation initiatives and the demand for seamless, integrated data solutions will further propel the rise of the operational intelligence market, making it a crucial component of modern enterprise strategy. As we move forward, the integration of operational intelligence into business operations will likely evolve into a standard practice, driven by the need for real-time insights, predictive analytics, and ultimately, the capacity to transform raw data into strategic assets that drive organizational success. This holistic approach to operational intelligence positions it as an indispensable tool for navigating the complexities of today's business environment.

Key Market Drivers

Increasing Demand for Real-Time Data Analytics

The demand for real-time data analytics is a significant driver for the growth of the operational intelligence market. Organizations are increasingly recognizing the value of timely insights derived from vast amounts of data generated by various sources, including Internet of Things devices, customer interactions, and operational processes. Real-time analytics enable businesses to respond quickly to market changes, customer needs, and operational challenges, thus enhancing overall efficiency and competitiveness. Companies in sectors such as manufacturing, healthcare, and retail are adopting Operational Intelligence solutions to monitor their operations continuously, identify bottlenecks, and optimize resource allocation. This proactive approach not only improves decision-making but also enables organizations to predict future trends and demands, further driving the necessity for advanced operational intelligence tools.

Need for Enhanced Operational Efficiency

The relentless pursuit of enhanced operational efficiency is a key driver for the growth of the operational intelligence market. Organizations are under constant pressure to streamline their processes, reduce costs, and improve productivity. Operational intelligence tools provide valuable insights that help identify inefficiencies, optimize workflows, and facilitate data-driven decision-making. By implementing these solutions, organizations can analyze historical and real-time data to uncover patterns and trends that may not be immediately apparent. This level of insight enables businesses to make informed adjustments to their operations, thereby improving efficiency and effectiveness. As companies continue to focus on operational excellence as a strategic priority, the demand for operational intelligence solutions will continue to rise, driving market growth.

Regulatory Compliance and Risk Management

In today's complex business environment, regulatory compliance and risk management have become paramount for organizations across various sectors. The need to adhere to industry regulations and standards necessitates robust monitoring and reporting mechanisms. Operational intelligence solutions play a crucial role in helping organizations maintain compliance by providing real-time visibility into operations, enabling timely identification of potential risks, and facilitating necessary adjustments. Industries such as finance, healthcare, and energy face stringent regulatory requirements, making operational intelligence tools indispensable for managing compliance-related challenges. By leveraging these solutions, organizations can enhance their risk management frameworks, ensuring they remain compliant while also mitigating potential risks. As the regulatory landscape continues to evolve, the demand for operational intelligence solutions that support compliance and risk management will significantly contribute to market growth.

Integration of Artificial Intelligence and Machine Learning

The integration of artificial intelligence and machine learning technologies into operational intelligence solutions is a transformative driver for the market. These advanced technologies enhance the analytical capabilities of Operational Intelligence tools, enabling organizations to uncover deeper insights from their data. Machine learning algorithms can analyze historical data to identify trends and patterns, while artificial intelligence can facilitate predictive analytics, allowing organizations to anticipate future operational challenges. This synergy between operational intelligence and advanced technologies empowers businesses to make smarter, data-driven decisions and enhances their ability to optimize processes. As organizations increasingly seek to leverage artificial intelligence and machine learning to improve their operational capabilities, the demand for sophisticated operational intelligence solutions that incorporate these technologies will rise, significantly impacting market dynamics.

Key Market Challenges

Data Security and Privacy Concerns

Data security and privacy represent significant challenges for the operational intelligence market. As organizations increasingly rely on real-time data analytics to drive their operational strategies, they are also exposed to heightened risks related to data breaches and unauthorized access. The sensitive nature of the data collected from customer information to proprietary operational metrics requires stringent security measures to protect against cyber threats. Organizations must navigate complex regulatory frameworks such as the General Data Protection Regulation in Europe and the California Consumer Privacy Act in the United States, which impose strict guidelines on data handling and privacy. Non-compliance can lead to severe penalties and reputational damage. Organizations may be hesitant to fully embrace operational intelligence solutions due to concerns about their data security frameworks. The integration of Internet of Things technologies further complicates this challenge, as more devices create additional points of vulnerability. To effectively harness the benefits of operational intelligence while ensuring data security, organizations must invest in robust cybersecurity measures, employee training, and ongoing risk assessments. Failure to address these concerns may impede the growth of the operational intelligence market and limit the adoption of advanced analytics solutions across various sectors.

Complexity of Implementation and Integration

The complexity associated with the implementation and integration of operational intelligence solutions poses a significant challenge for organizations. Deploying these advanced analytics tools requires not only a comprehensive understanding of the existing data infrastructure but also the ability to integrate diverse data sources seamlessly. Many organizations operate with legacy systems that may not be compatible with modern operational intelligence solutions, leading to integration difficulties that can delay implementation and reduce overall effectiveness. The process of data cleansing and preparation is often time-consuming and resource-intensive, requiring skilled personnel who understand both the technical aspects and the business context. Organizations must also ensure that the end-users are adequately trained to utilize these tools effectively, which involves additional time and investment. The challenges of change management during the transition period can create resistance among employees, further complicating the adoption process. As a result, organizations may find themselves facing significant operational disruptions during the implementation phase, which can diminish the anticipated benefits of operational intelligence. To overcome these hurdles, companies should adopt a phased approach to implementation, involve stakeholders from various departments, and prioritize user training to foster a smoother transition. Without addressing these complexities, the potential for operational intelligence solutions to drive meaningful business outcomes may remain unrealized.

Skill Shortages and Resource Constraints

The shortage of skilled personnel and resource constraints are critical challenges facing the Operational Intelligence Market. Implementing and maximizing the benefits of operational intelligence solutions requires specialized expertise in data analytics, machine learning, and operational processes. However, there is a notable lack of qualified professionals with the necessary skill sets to harness these advanced technologies effectively. This talent gap is exacerbated by the rapid pace of technological change, making it difficult for organizations to keep their teams updated on the latest tools and methodologies. Smaller organizations may face significant resource constraints, limiting their ability to invest in the necessary technology and talent to deploy operational intelligence solutions effectively. The competition for skilled workers in the analytics space further drives up recruitment costs and can lead to high turnover rates. As organizations strive to build their analytical capabilities, they must also consider how to retain top talent and create a culture that fosters continuous learning and innovation. Failure to address these skill shortages and resource limitations can hinder organizations from realizing the full potential of operational intelligence, making it challenging to derive actionable insights from their data. To mitigate these challenges, organizations may consider partnering with educational institutions to develop training programs, investing in upskilling existing employees, or leveraging managed services that provide access to skilled professionals. Ultimately, bridging the skill gap and overcoming resource constraints are essential for unlocking the transformative power of operational intelligence in today's business environment.

Key Market Trends

Increased Adoption of Artificial Intelligence and Machine Learning

The integration of artificial intelligence and machine learning into Operational Intelligence solutions is a transformative trend that is reshaping the landscape of data analytics. Organizations are increasingly leveraging these advanced technologies to automate data processing, enhance predictive analytics, and improve decision-making capabilities. Artificial intelligence algorithms can analyze large volumes of historical data to identify patterns and trends, while machine learning models continuously learn from new data, providing real-time insights that are increasingly accurate and actionable. This trend is particularly beneficial in industries such as manufacturing and logistics, where organizations require immediate visibility into operations to optimize performance and mitigate risks. As artificial intelligence and machine learning technologies continue to evolve, their incorporation into operational intelligence solutions will become more sophisticated, enabling organizations to not only react to current situations but also anticipate future challenges and opportunities. Consequently, businesses that adopt these technologies will gain a competitive edge, further propelling the growth of the operational intelligence market.

Focus on Real-Time Data Processing

The emphasis on real-time data processing is another significant trend driving the operational intelligence market. As organizations strive to enhance their responsiveness to changing market conditions, the ability to analyze data in real-time has become critical. Real-time data processing allows businesses to monitor key performance indicators continuously, enabling swift identification of operational inefficiencies, customer behavior changes, and emerging trends. This trend is particularly relevant in sectors such as retail and healthcare, where timely insights can lead to better customer experiences and improved patient outcomes. The advent of cloud computing has facilitated the deployment of real-time analytics tools, making them accessible to organizations of all sizes. As real-time data processing becomes increasingly vital for maintaining a competitive advantage, the demand for operational intelligence solutions that offer immediate insights, and analysis is expected to grow significantly.

Rise of Internet of Things Integration

The rise of Internet of Things integration is significantly impacting the operational intelligence market. As more devices become interconnected, they generate vast amounts of real-time data that can be analyzed for actionable insights. Operational intelligence solutions are increasingly being designed to process data from diverse Internet of Things devices, enabling organizations to gain a comprehensive view of their operations. This trend is particularly beneficial in sectors such as manufacturing, where sensors can monitor equipment performance and predict maintenance needs, thereby minimizing downtime and optimizing resource allocation. The integration of Internet of Things technologies facilitates improved supply chain management by providing real-time visibility into inventory levels and shipment status. As organizations recognize the value of harnessing data from Internet of Things devices, the demand for Operational Intelligence solutions that can seamlessly integrate with these technologies will continue to rise, driving market growth.

Segmental Insights

Component Insights

Software segment dominated the operational intelligence market in 2023 and is anticipated to maintain its dominance throughout the forecast period. This supremacy is primarily driven by the increasing need for advanced analytics tools that can provide real-time insights and facilitate data-driven decision-making. Organizations across various sectors are increasingly investing in sophisticated software solutions that offer capabilities such as predictive analytics, machine learning, and real-time monitoring to optimize their operations and enhance overall performance. The growing emphasis on operational efficiency and agility has led companies to prioritize the implementation of software solutions that enable them to analyze vast amounts of data effectively and derive actionable insights. As organizations recognize the strategic value of operational intelligence in improving customer experiences and streamlining processes, the demand for innovative software applications continues to rise. Advancements in artificial intelligence and machine learning technologies are enhancing the capabilities of operational intelligence software, making them more attractive to businesses seeking to stay competitive in rapidly evolving markets. While services, including consulting and support, play a crucial role in the implementation and optimization of these software solutions, the core value proposition lies in the software itself, which enables organizations to harness the power of their data. As digital transformation initiatives gain traction across industries, the software segment is expected to experience sustained growth, solidifying its position as the leading component in the operational intelligence market for the foreseeable future. This trend indicates that investments in software solutions will continue to be a focal point for organizations aiming to leverage operational intelligence effectively.

Regional Insights

North America dominated the operational intelligence market in 2023 and is expected to maintain its dominance throughout the forecast period. This leadership can be attributed to several key factors, including the presence of a robust technological infrastructure, high levels of investment in research and development, and a significant concentration of major industry players. North American organizations, particularly in sectors such as manufacturing, finance, and healthcare, are increasingly leveraging operational intelligence solutions to enhance efficiency, improve decision-making, and optimize processes. The rapid adoption of advanced technologies such as artificial intelligence and machine learning further bolsters this trend, as businesses seek real-time analytics to remain competitive. The region's emphasis on innovation and the growing importance of data-driven strategies have led to a heightened demand for operational intelligence tools that can provide actionable insights. The favorable regulatory environment and availability of skilled professionals also contribute to North America's strong position in the market. As organizations continue to prioritize operational excellence and digital transformation initiatives, the demand for operational intelligence solutions is anticipated to grow, reinforcing North America's leading role in this sector. This trend is likely to be supported by ongoing investments in cloud computing and Internet of Things technologies, which are integral to enhancing operational capabilities.

Key Market Players

  • IBM Corporation
  • SAP SE
  • Oracle Corporation
  • Microsoft Corporation
  • Koch Industries, Inc.
  • Honeywell International Inc.
  • Cisco Systems, Inc.
  • Domo, Inc.
  • MicroStrategy Incorporated
  • SAS Institute Inc.

Report Scope:

In this report, the Global Operational Intelligence Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Operational Intelligence Market, By Deployment:

  • On-premises
  • Cloud-based

Operational Intelligence Market, By Component:

  • Software
  • Services

Operational Intelligence Market, By Application:

  • Process Optimization
  • Asset Management
  • Supply Chain Management
  • Risk Management
  • Customer Experience Management

Operational Intelligence Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Belgium
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
    • Indonesia
    • Vietnam
  • South America
    • Brazil
    • Colombia
    • Argentina
    • Chile
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • South Africa
    • Turkey
    • Israel

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Operational Intelligence Market.

Available Customizations:

Global Operational Intelligence Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Solution Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Formulation of the Scope
  • 2.4. Assumptions and Limitations
  • 2.5. Sources of Research
    • 2.5.1. Secondary Research
    • 2.5.2. Primary Research
  • 2.6. Approach for the Market Study
    • 2.6.1. The Bottom-Up Approach
    • 2.6.2. The Top-Down Approach
  • 2.7. Methodology Followed for Calculation of Market Size & Market Shares
  • 2.8. Forecasting Methodology
    • 2.8.1. Data Triangulation & Validation

3. Executive Summary

4. Voice of Customer

5. Global Operational Intelligence Market Overview

6. Global Operational Intelligence Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Deployment (On-premises, Cloud-based)
    • 6.2.2. By Component (Software, Services)
    • 6.2.3. By Application (Process Optimization, Asset Management, Supply Chain Management, Risk Management, Customer Experience Management)
    • 6.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
  • 6.3. By Company (2023)
  • 6.4. Market Map

7. North America Operational Intelligence Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Deployment
    • 7.2.2. By Component
    • 7.2.3. By Application
    • 7.2.4. By Country
  • 7.3. North America: Country Analysis
    • 7.3.1. United States Operational Intelligence Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Deployment
        • 7.3.1.2.2. By Component
        • 7.3.1.2.3. By Application
    • 7.3.2. Canada Operational Intelligence Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Deployment
        • 7.3.2.2.2. By Component
        • 7.3.2.2.3. By Application
    • 7.3.3. Mexico Operational Intelligence Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Deployment
        • 7.3.3.2.2. By Component
        • 7.3.3.2.3. By Application

8. Europe Operational Intelligence Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Deployment
    • 8.2.2. By Component
    • 8.2.3. By Application
    • 8.2.4. By Country
  • 8.3. Europe: Country Analysis
    • 8.3.1. Germany Operational Intelligence Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Deployment
        • 8.3.1.2.2. By Component
        • 8.3.1.2.3. By Application
    • 8.3.2. France Operational Intelligence Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Deployment
        • 8.3.2.2.2. By Component
        • 8.3.2.2.3. By Application
    • 8.3.3. United Kingdom Operational Intelligence Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Deployment
        • 8.3.3.2.2. By Component
        • 8.3.3.2.3. By Application
    • 8.3.4. Italy Operational Intelligence Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Deployment
        • 8.3.4.2.2. By Component
        • 8.3.4.2.3. By Application
    • 8.3.5. Spain Operational Intelligence Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Deployment
        • 8.3.5.2.2. By Component
        • 8.3.5.2.3. By Application
    • 8.3.6. Belgium Operational Intelligence Market Outlook
      • 8.3.6.1. Market Size & Forecast
        • 8.3.6.1.1. By Value
      • 8.3.6.2. Market Share & Forecast
        • 8.3.6.2.1. By Deployment
        • 8.3.6.2.2. By Component
        • 8.3.6.2.3. By Application

9. Asia Pacific Operational Intelligence Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Deployment
    • 9.2.2. By Component
    • 9.2.3. By Application
    • 9.2.4. By Country
  • 9.3. Asia-Pacific: Country Analysis
    • 9.3.1. China Operational Intelligence Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Deployment
        • 9.3.1.2.2. By Component
        • 9.3.1.2.3. By Application
    • 9.3.2. India Operational Intelligence Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Deployment
        • 9.3.2.2.2. By Component
        • 9.3.2.2.3. By Application
    • 9.3.3. Japan Operational Intelligence Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Deployment
        • 9.3.3.2.2. By Component
        • 9.3.3.2.3. By Application
    • 9.3.4. South Korea Operational Intelligence Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Deployment
        • 9.3.4.2.2. By Component
        • 9.3.4.2.3. By Application
    • 9.3.5. Australia Operational Intelligence Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Deployment
        • 9.3.5.2.2. By Component
        • 9.3.5.2.3. By Application
    • 9.3.6. Indonesia Operational Intelligence Market Outlook
      • 9.3.6.1. Market Size & Forecast
        • 9.3.6.1.1. By Value
      • 9.3.6.2. Market Share & Forecast
        • 9.3.6.2.1. By Deployment
        • 9.3.6.2.2. By Component
        • 9.3.6.2.3. By Application
    • 9.3.7. Vietnam Operational Intelligence Market Outlook
      • 9.3.7.1. Market Size & Forecast
        • 9.3.7.1.1. By Value
      • 9.3.7.2. Market Share & Forecast
        • 9.3.7.2.1. By Deployment
        • 9.3.7.2.2. By Component
        • 9.3.7.2.3. By Application

10. South America Operational Intelligence Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1.By Value
  • 10.2. Market Share & Forecast
    • 10.2.1.By Deployment
    • 10.2.2.By Component
    • 10.2.3.By Application
    • 10.2.4.By Country
  • 10.3. South America: Country Analysis
    • 10.3.1.Brazil Operational Intelligence Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Deployment
        • 10.3.1.2.2. By Component
        • 10.3.1.2.3. By Application
    • 10.3.2.Colombia Operational Intelligence Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Deployment
        • 10.3.2.2.2. By Component
        • 10.3.2.2.3. By Application
    • 10.3.3.Argentina Operational Intelligence Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Deployment
        • 10.3.3.2.2. By Component
        • 10.3.3.2.3. By Application
    • 10.3.4.Chile Operational Intelligence Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Deployment
        • 10.3.4.2.2. By Component
        • 10.3.4.2.3. By Application

11. Middle East & Africa Operational Intelligence Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1.By Value
  • 11.2. Market Share & Forecast
    • 11.2.1.By Deployment
    • 11.2.2.By Component
    • 11.2.3.By Application
    • 11.2.4.By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1.Saudi Arabia Operational Intelligence Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Deployment
        • 11.3.1.2.2. By Component
        • 11.3.1.2.3. By Application
    • 11.3.2.UAE Operational Intelligence Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Deployment
        • 11.3.2.2.2. By Component
        • 11.3.2.2.3. By Application
    • 11.3.3.South Africa Operational Intelligence Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Deployment
        • 11.3.3.2.2. By Component
        • 11.3.3.2.3. By Application
    • 11.3.4.Turkey Operational Intelligence Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Deployment
        • 11.3.4.2.2. By Component
        • 11.3.4.2.3. By Application
    • 11.3.5.Israel Operational Intelligence Market Outlook
      • 11.3.5.1. Market Size & Forecast
        • 11.3.5.1.1. By Value
      • 11.3.5.2. Market Share & Forecast
        • 11.3.5.2.1. By Deployment
        • 11.3.5.2.2. By Component
        • 11.3.5.2.3. By Application

12. Market Dynamics

  • 12.1. Drivers
  • 12.2. Challenges

13. Market Trends and Developments

14. Company Profiles

  • 14.1. IBM Corporation
    • 14.1.1.Business Overview
    • 14.1.2.Key Revenue and Financials
    • 14.1.3.Recent Developments
    • 14.1.4.Key Personnel/Key Contact Person
    • 14.1.5.Key Product/Services Offered
  • 14.2. SAP SE
    • 14.2.1.Business Overview
    • 14.2.2.Key Revenue and Financials
    • 14.2.3.Recent Developments
    • 14.2.4.Key Personnel/Key Contact Person
    • 14.2.5.Key Product/Services Offered
  • 14.3. Oracle Corporation
    • 14.3.1.Business Overview
    • 14.3.2.Key Revenue and Financials
    • 14.3.3.Recent Developments
    • 14.3.4.Key Personnel/Key Contact Person
    • 14.3.5.Key Product/Services Offered
  • 14.4. Microsoft Corporation
    • 14.4.1.Business Overview
    • 14.4.2.Key Revenue and Financials
    • 14.4.3.Recent Developments
    • 14.4.4.Key Personnel/Key Contact Person
    • 14.4.5.Key Product/Services Offered
  • 14.5. Koch Industries, Inc.
    • 14.5.1.Business Overview
    • 14.5.2.Key Revenue and Financials
    • 14.5.3.Recent Developments
    • 14.5.4.Key Personnel/Key Contact Person
    • 14.5.5.Key Product/Services Offered
  • 14.6. Honeywell International Inc.
    • 14.6.1.Business Overview
    • 14.6.2.Key Revenue and Financials
    • 14.6.3.Recent Developments
    • 14.6.4.Key Personnel/Key Contact Person
    • 14.6.5.Key Product/Services Offered
  • 14.7. Cisco Systems, Inc.
    • 14.7.1.Business Overview
    • 14.7.2.Key Revenue and Financials
    • 14.7.3.Recent Developments
    • 14.7.4.Key Personnel/Key Contact Person
    • 14.7.5.Key Product/Services Offered
  • 14.8. Domo, Inc.
    • 14.8.1.Business Overview
    • 14.8.2.Key Revenue and Financials
    • 14.8.3.Recent Developments
    • 14.8.4.Key Personnel/Key Contact Person
    • 14.8.5.Key Product/Services Offered
  • 14.9. MicroStrategy Incorporated
    • 14.9.1.Business Overview
    • 14.9.2.Key Revenue and Financials
    • 14.9.3.Recent Developments
    • 14.9.4.Key Personnel/Key Contact Person
    • 14.9.5.Key Product/Services Offered
  • 14.10. SAS Institute Inc.
    • 14.10.1. Business Overview
    • 14.10.2. Key Revenue and Financials
    • 14.10.3. Recent Developments
    • 14.10.4. Key Personnel/Key Contact Person
    • 14.10.5. Key Product/Services Offered

15. Strategic Recommendation

16. About Us & Disclaimer