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市場調查報告書
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1961249

營運智慧市場－全球產業規模、佔有率、趨勢、機會與預測：按部署方式、組件、應用、地區和競爭格局分類，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個工作天內

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簡介目錄

全球營運智慧市場預計將從 2025 年的 35.8 億美元成長到 2031 年的 72.3 億美元，複合年成長率為 12.43%。

營運智慧 (OI) 被定義為一種動態的即時業務分析，它能夠提供業務活動的可見性，並使組織能夠利用傳入的資料流做出即時決策。推動這一市場發展的主要因素是對即時決策能力的迫切需求，這種能力能夠立即發現效率低下之處並糾正營運異常。此外，物聯網 (IoT) 技術和巨量資料基礎設施的整合也推動了這個市場的擴張，組織越來越需要能夠整合海量機器產生資料的系統，以支援流程最佳化和預測性維護。

市場概覽
預測期 2027-2031
市場規模：2025年 35.8億美元
市場規模：2031年 72.3億美元
複合年成長率：2026-2031年 12.43%
成長最快的細分市場 基於雲端的
最大的市場 北美洲

然而，該行業在數據整合方面面臨著許多挑戰，尤其是在將來自舊有系統的碎片化資訊整合到統一的分析架構中方面。這種碎片化常常導致資料孤島，阻礙了實現成功營運智慧所需的全面可視性。為了解決這些效率低下的問題，相關技術的採用率正在飆升。根據MESA International的數據顯示，99%的製造商計劃在2025年至2026年期間投資營運分析和人工智慧。如此龐大的投資規模凸顯了該產業克服傳統障礙、實現精簡智慧化業務營運的迫切需求。

市場促進因素

物聯網 (IoT) 和互聯設備的快速成長正成為全球營運智慧市場的重要驅動力，產生大量資料流，為即時視覺性提供了必要條件。隨著工業環境日益網路化，感測器和終端產生的大量遙測資料需要能夠即時整合的複雜分析框架。這種連接性使企業能夠彌合物理流程與數位洞察之間的鴻溝，從而創建一個高度響應的環境，使異常情況能夠立即得到糾正。例如，羅克韋爾自動化於 2024 年 4 月發布的第九份年度智慧製造報告顯示，95% 的製造商目前正在實施或評估智慧製造技術。這一比例上年度的 84% 有所成長，顯示企業正顯著轉向支撐營運智慧的互聯基礎設施。

此外，人工智慧 (AI) 和機器學習 (ML) 的整合增強了預測能力，是推動原始資料轉換為主動營運策略的第二大主要動力。透過將 AI 演算法整合到智慧平台中，企業可以從被動監控轉向預測性維護和自動化根本原因分析，從而顯著縮短平均故障修復時間 (MTTR)。根據 Splunk 於 2024 年 10 月發布的《2024 年可觀測性現狀報告》，97% 的受訪者目前正在利用 AI 和/或 ML 驅動的系統來增強可觀測性運營，較前一年的 66% 顯著成長。這種快速普及凸顯了業界對智慧自動化在應對複雜性方面日益成長的依賴，從而創造了明顯的商業價值。 New Relic 的 2024 年報告顯示，已實施業務可觀測性的公司與未實施的公司相比，年度停機時間減少了 40%，這凸顯了這些創新技術的戰略必要性。

市場挑戰

全球營運智慧市場面臨的主要障礙之一是資料整合的複雜性，尤其是在與傳統基礎設施對接時。營運智慧本質上依賴於即時數據的無縫整合來產生可執行的洞察。然而，許多公司在分散的環境中運營，關鍵資訊被困在不同的舊有系統中，導致資料孤島的形成。這種孤立阻礙了建立真正可視性所需的整合分析框架。缺乏一致的資料基礎削弱了進行即時營運監控的能力，直接損害了營運智慧的核心價值提案。

由於企業無法有效地將機器產生的數據與現有營運記錄整合，因此在投資高階分析平台時，技術壁壘顯著減緩了市場普及速度。美國製造商協會 (NAM) 發布的《2024 年報告》凸顯了這項挑戰的嚴峻性，其中 53% 的製造商將「數據源自不同系統和格式」列為主要難題。如此普遍的整合問題表明，大多數考慮採用這些技術的企業目前尚未充分利用其全部功能。因此，這些舊有系統壁壘持續限制營運智慧在各行業的擴充性和廣泛應用。

市場趨勢

數位雙胞胎技術在營運模擬領域的日益普及正在重塑市場格局，其關注點從簡單的即時監控轉向虛擬場景建模。這一趨勢使企業能夠建立高度精確的實體資產虛擬副本，從而在實際實施前檢驗營運調整併驗證策略。透過模擬複雜的交互，企業可以識別瓶頸並改進流程，而無需承擔營運中斷的風險。西門子2024年11月發布的報告《工業元宇宙現狀》也印證了這項戰略方針，該報告顯示，2024年全球62%的企業增加了在工業元宇宙技術方面的支出。這凸顯了市場對基於模擬的營運智慧的強勁需求。

同時，生成式人工智慧在自動化工作流程最佳化的應用，正在重新定義工業系統處理非結構化資料的方式。與專注於維護計劃的傳統預測模型不同，生成式人工智慧代理現在被用於自主生成生產報告、最佳化自動化控制器程式碼，並根據歷史日誌提出工作流程改進提案。這項功能顯著減少了解讀取運行資料所需的人工工作量。為了佐證這種日益成長的依賴性，羅克韋爾自動化於2025年6月發布的第十份年度智慧製造報告顯示，投資於生成式和因果式人工智慧的企業數量同比成長12%，顯示企業正穩步向智慧化和自動化工作流程轉型。

目錄

第1章概述

第2章：調查方法

第3章執行摘要

第4章：客戶心聲

第5章：全球營運情報市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 依部署方式（本機部署、雲端部署）
    • 按組件（軟體、服務）
    • 依應用領域（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
    • 按公司（2025 年）
  • 市場地圖

第6章：北美營運情報市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國別分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲投資情報市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國別分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區營運智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國別分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東與非洲營運情報市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東與非洲：國別分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美作戰情報市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國別分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進因素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 近期趨勢

第13章：全球營運情報市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商的議價能力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • 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16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
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