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市场调查报告书
商品编码
1961249

营运智慧市场－全球产业规模、份额、趋势、机会与预测：按部署方式、组件、应用、地区和竞争格局划分，2021-2031年

Operational Intelligence Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Deployment, By Component, By Application, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3个工作天内

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简介目录

全球营运智慧市场预计将从 2025 年的 35.8 亿美元成长到 2031 年的 72.3 亿美元，复合年增长率为 12.43%。

营运智慧 (OI) 被定义为一种动态的即时业务分析，它能够提供业务活动的可见性，并使组织能够利用传入的资料流做出即时决策。推动这一市场发展的主要因素是对即时决策能力的迫切需求，这种能力能够立即发现效率低下之处并纠正营运异常。此外，物联网 (IoT) 技术和巨量资料基础设施的整合也推动了这个市场的扩张，组织越来越需要能够整合海量机器产生资料的系统，以支援流程最佳化和预测性维护。

市场概览
预测期 2027-2031
市场规模：2025年 35.8亿美元
市场规模：2031年 72.3亿美元
复合年增长率：2026-2031年 12.43%
成长最快的细分市场 基于云端的
最大的市场 北美洲

然而，该行业在数据整合方面面临着许多挑战，尤其是在将来自旧有系统的碎片化资讯整合到统一的分析架构中方面。这种碎片化常常导致资料孤岛，阻碍了实现成功营运智慧所需的全面可视性。为了解决这些效率低下的问题，相关技术的采用率正在飙升。根据MESA International的数据显示，99%的製造商计划在2025年至2026年期间投资营运分析和人工智慧。如此庞大的投资规模凸显了该产业克服传统障碍、实现精简智慧化业务营运的迫切需求。

市场驱动因素

物联网 (IoT) 和互联设备的快速成长正成为全球营运智慧市场的重要驱动力，产生大量资料流，为即时视觉性提供了必要条件。随着工业环境日益网路化，感测器和终端产生的大量遥测资料需要能够即时整合的复杂分析框架。这种连接性使企业能够弥合物理流程与数位洞察之间的鸿沟，从而创建一个高度响应的环境，使异常情况能够立即得到纠正。例如，罗克韦尔自动化于 2024 年 4 月发布的第九份年度智慧製造报告显示，95% 的製造商目前正在实施或评估智慧製造技术。这一比例上年度的 84% 有所增长，显示企业正显着转向支撑营运智慧的互联基础设施。

此外，人工智慧 (AI) 和机器学习 (ML) 的整合增强了预测能力，是推动原始资料转换为主动营运策略的第二大主要动力。透过将 AI 演算法整合到智慧平台中，企业可以从被动监控转向预测性维护和自动化根本原因分析，从而显着缩短平均故障修復时间 (MTTR)。根据 Splunk 于 2024 年 10 月发布的《2024 年可观测性现状报告》，97% 的受访者目前正在利用 AI 和/或 ML 驱动的系统来增强可观测性运营，较前一年的 66% 显着增长。这种快速普及凸显了业界对智慧自动化在应对复杂性方面日益增长的依赖，从而创造了明显的商业价值。 New Relic 的 2024 年报告显示，已实施业务可观测性的公司与未实施的公司相比，年度停机时间减少了 40%，这凸显了这些创新技术的战略必要性。

市场挑战

全球营运智慧市场面临的主要障碍之一是资料整合的复杂性，尤其是在与传统基础设施对接时。营运智慧本质上依赖于即时数据的无缝整合来产生可执行的洞察。然而，许多公司在分散的环境中运营，关键资讯被困在不同的旧有系统中，导致资料孤岛的形成。这种孤立阻碍了建立真正可视性所需的整合分析框架。缺乏一致的资料基础削弱了进行即时营运监控的能力，直接损害了营运智慧的核心价值提案。

由于企业无法有效地将机器产生的数据与现有营运记录整合，因此在投资高阶分析平台时，技术壁垒显着减缓了市场普及速度。美国製造商协会 (NAM) 发布的《2024 年报告》凸显了这项挑战的严峻性，其中 53% 的製造商将「数据源自不同系统和格式」列为主要难题。如此普遍的整合问题表明，大多数考虑采用这些技术的企业目前尚未充分利用其全部功能。因此，这些旧有系统壁垒持续限制营运智慧在各行业的扩充性和广泛应用。

市场趋势

数位双胞胎技术在营运模拟领域的日益普及正在重塑市场格局，其关注点从简单的即时监控转向虚拟场景建模。这一趋势使企业能够建立高度精确的实体资产虚拟副本，从而在实际实施前检验营运调整併验证策略。透过模拟复杂的交互，企业可以识别瓶颈并改进流程，而无需承担营运中断的风险。西门子2024年11月发布的报告《工业元宇宙现状》也印证了这项战略方针，该报告显示，2024年全球62%的企业增加了在工业元宇宙技术方面的支出。这凸显了市场对基于模拟的营运智慧的强劲需求。

同时，生成式人工智慧在自动化工作流程最佳化的应用，正在重新定义工业系统处理非结构化资料的方式。与专注于维护计划的传统预测模型不同，生成式人工智慧代理现在被用于自主生成生产报告、优化自动化控制器程式码，并根据历史日誌提出工作流程改进提案。这项功能显着减少了解读取运行资料所需的人工工作量。为了佐证这种日益增长的依赖性，罗克韦尔自动化于2025年6月发布的第十份年度智慧製造报告显示，投资于生成式和因果式人工智慧的企业数量同比增长12%，显示企业正稳步向智能化和自动化工作流程转型。

目录

第一章概述

第二章：调查方法

第三章执行摘要

第四章：客户心声

第五章：全球营运情报市场展望

  • 市场规模及预测
    • 按金额
  • 市占率及预测
    • 依部署方式（本机部署、云端部署）
    • 按组件（软体、服务）
    • 依应用领域（流程最佳化、资产管理、供应链管理、风险管理、客户体验管理）
    • 按地区
    • 按公司（2025 年）
  • 市场地图

第六章：北美营运情报市场展望

  • 市场规模及预测
  • 市占率及预测
  • 北美洲：国别分析
    • 我们
    • 加拿大
    • 墨西哥

第七章：欧洲投资情报市场展望

  • 市场规模及预测
  • 市占率及预测
  • 欧洲：国别分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙

第八章：亚太地区营运智慧市场展望

  • 市场规模及预测
  • 市占率及预测
  • 亚太地区：国别分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第九章：中东与非洲营运情报市场展望

  • 市场规模及预测
  • 市占率及预测
  • 中东与非洲：国别分析
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第十章：南美作战情报市场展望

  • 市场规模及预测
  • 市占率及预测
  • 南美洲：国别分析
    • 巴西
    • 哥伦比亚
    • 阿根廷

第十一章 市场动态

  • 促进因素
  • 任务

第十二章 市场趋势与发展

  • 併购
  • 产品发布
  • 近期趋势

第十三章：全球营运情报市场：SWOT分析

第十四章：波特五力分析

  • 产业竞争
  • 新进入者的潜力
  • 供应商的议价能力
  • 顾客权力
  • 替代品的威胁

第十五章 竞争格局

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

第十六章 策略建议

第十七章：关于研究公司及免责声明

简介目录
Product Code: 25177

The Global Operational Intelligence Market is projected to expand from USD 3.58 Billion in 2025 to USD 7.23 Billion by 2031, registering a CAGR of 12.43%. Defined as a class of dynamic, real-time business analytics, Operational Intelligence (OI) provides visibility into enterprise activities, empowering organizations to make immediate decisions utilizing incoming data streams. The primary catalyst for this market is the urgent need for real-time decision-making abilities, which allow businesses to instantly detect inefficiencies and correct operational anomalies. Additionally, the integration of Internet of Things (IoT) technologies with big data infrastructure fuels this expansion, as organizations increasingly demand systems capable of synthesizing immense volumes of machine-generated data to support process optimization and predictive maintenance.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 3.58 Billion
Market Size 2031USD 7.23 Billion
CAGR 2026-203112.43%
Fastest Growing SegmentCloud-based
Largest MarketNorth America

Nevertheless, the industry encounters a major obstacle related to data integration, particularly the difficulty of merging fragmented information from legacy systems into a cohesive analytical structure. This disjointed landscape frequently results in data silos that obstruct the complete visibility needed for successful operational intelligence. To address these inefficiencies, adoption rates are soaring; according to MESA International in 2025, 99% of manufacturers are investing in operations analytics and AI for the 2025 and 2026 period. This substantial level of investment emphasizes the industrial imperative to surmount legacy hurdles and realize streamlined, intelligent business operations.

Market Driver

The exponential growth of the Internet of Things (IoT) and connected devices acts as a fundamental driver for the Global Operational Intelligence Market by producing the vast data streams required for real-time visibility. As industrial settings become increasingly networked, the immense volume of telemetry data originating from sensors and endpoints demands sophisticated analytical frameworks capable of instantaneous synthesis. This connectivity enables enterprises to close the gap between physical processes and digital insights, creating a responsive environment where anomalies are corrected immediately. Illustrating this shift, Rockwell Automation's '9th Annual State of Smart Manufacturing Report' from April 2024 notes that 95% of manufacturers are currently utilizing or evaluating smart manufacturing technologies, up from 84% the previous year, signaling a crucial move toward the interconnected infrastructures that underpin operational intelligence.

Additionally, the incorporation of Artificial Intelligence and Machine Learning enhances predictive capabilities, serving as a second key driver that converts raw data into proactive operational strategies. By integrating AI algorithms into intelligence platforms, organizations transition from passive monitoring to predictive maintenance and automated root cause analysis, thereby significantly shortening the mean time to resolution. According to the 'State of Observability 2024' report by Splunk, published in October 2024, 97% of respondents now utilize AI and/or ML-powered systems to bolster their observability operations, a marked rise from 66% the year prior. This swift adoption highlights the industry's dependence on intelligent automation to handle complexity, which yields clear business value; New Relic reported in 2024 that firms adopting business observability experience 40% less annual downtime than those that do not, confirming the strategic necessity of these innovations.

Market Challenge

A significant obstacle confronting the Global Operational Intelligence Market is the complexity associated with data integration, especially regarding legacy infrastructure. Operational Intelligence fundamentally depends on the seamless synthesis of real-time data to produce actionable insights; however, many enterprises function within fragmented environments where vital information is trapped in disparate legacy systems, resulting in data silos. This isolation hinders organizations from creating the unified analytical framework required for genuine visibility. Lacking a cohesive data foundation, the capacity for instantaneous operational monitoring is compromised, which directly undermines the core value proposition of Operational Intelligence.

This technical hurdle substantially slows market adoption, as companies hesitate to invest in advanced analytics platforms when they cannot effectively merge machine-generated data with existing business records. The severity of this challenge is highlighted by the National Association of Manufacturers, which reported in 2024 that 53% of manufacturers cited data originating from different systems or formats as a primary difficulty. Such widespread integration issues suggest that a majority of prospective adopters are currently unable to exploit the full capabilities of these technologies. Consequently, these legacy barriers persist in limiting the scalability and widespread deployment of Operational Intelligence throughout the industrial sector.

Market Trends

The increasing adoption of Digital Twins for operational simulation is reshaping the market by pivoting the focus from simple real-time monitoring to virtual scenario modeling. This trend permits enterprises to construct high-fidelity virtual replicas of their physical assets, facilitating the testing of operational adjustments and the validation of strategies prior to actual implementation. By simulating intricate interactions, organizations can detect bottlenecks and refine processes without the risk of operational downtime. This strategic dedication is evident in Siemens' 'State of the Industrial Metaverse' report from November 2024, which indicates that 62% of global companies raised their expenditure on industrial metaverse technologies in 2024, emphasizing the strong demand for simulation-based operational intelligence.

Simultaneously, the integration of Generative AI for automated workflow optimization is redefining how industrial systems handle unstructured data. In contrast to traditional predictive models that concentrate on maintenance schedules, generative AI agents are now employed to autonomously generate production reports, optimize automation controller code, and propose workflow enhancements based on historical logs. This functionality drastically lowers the manual effort needed to interpret operational data. Underscoring this increasing reliance, the '10th Annual State of Smart Manufacturing Report' by Rockwell Automation in June 2025 reveals that organizations investing in generative and causal AI saw a 12% year-over-year increase, marking a robust shift toward intelligent, automated workflows.

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
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

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. Product 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. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Operational Intelligence Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Deployment (On-premises, Cloud-based)
    • 5.2.2. By Component (Software, Services)
    • 5.2.3. By Application (Process Optimization, Asset Management, Supply Chain Management, Risk Management, Customer Experience Management)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Operational Intelligence Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Deployment
    • 6.2.2. By Component
    • 6.2.3. By Application
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Operational Intelligence Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Deployment
        • 6.3.1.2.2. By Component
        • 6.3.1.2.3. By Application
    • 6.3.2. Canada Operational Intelligence Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Deployment
        • 6.3.2.2.2. By Component
        • 6.3.2.2.3. By Application
    • 6.3.3. Mexico Operational Intelligence Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Deployment
        • 6.3.3.2.2. By Component
        • 6.3.3.2.3. By Application

7. Europe 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. Europe: Country Analysis
    • 7.3.1. Germany 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. France 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. United Kingdom 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
    • 7.3.4. Italy Operational Intelligence Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Deployment
        • 7.3.4.2.2. By Component
        • 7.3.4.2.3. By Application
    • 7.3.5. Spain Operational Intelligence Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Deployment
        • 7.3.5.2.2. By Component
        • 7.3.5.2.3. By Application

8. Asia Pacific 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. Asia Pacific: Country Analysis
    • 8.3.1. China 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. India 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. Japan 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. South Korea 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. Australia 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

9. Middle East & Africa 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. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia 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. UAE 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. South Africa 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

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

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Operational Intelligence Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. IBM Corporation
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. SAP SE
  • 15.3. Oracle Corporation
  • 15.4. Microsoft Corporation
  • 15.5. Koch Industries, Inc.
  • 15.6. Honeywell International Inc.
  • 15.7. Cisco Systems, Inc.
  • 15.8. Domo, Inc.
  • 15.9. MicroStrategy Incorporated
  • 15.10. SAS Institute Inc.

16. Strategic Recommendations

17. About Us & Disclaimer