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1943227

決策智慧市場－全球產業規模、佔有率、趨勢、機會及預測（按部署模式、組件、最終用戶產業、地區和競爭格局分類，2021-2031年）

Decision Intelligence Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Deployment Mode, By Component, By End-User Industry, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 182 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球決策智慧市場預計將從 2025 年的 117.9 億美元成長到 2031 年的 306.5 億美元，複合年成長率為 17.26%。

決策智慧是一個戰略領域，它融合了資料科學、社會科學和管理理論，透過對決策流程進行建模、執行和監控，以計算精度有效地增強人類判斷。該市場的主要驅動力是企業迫切需要最大限度地減少複雜營運環境中的延遲，以及將不同的資料集整合到可執行的策略中——這些因素使其與曇花一現的技術潮流有著根本區別。為了強調這一根本轉變，IEEE 的報告指出，到 2024 年，65% 的全球技術領導者將把人工智慧視為重點關注領域，凸顯了自動化認知處理在支持決策智慧生態系統中的關鍵作用。

市場概覽
預測期 2027-2031
市場規模：2025年 117.9億美元
市場規模：2031年 306.5億美元
複合年成長率：2026-2031年 17.26%
成長最快的細分市場 金融
最大的市場 北美洲

然而，全球決策智慧市場的成長面臨許多重大障礙：資料碎片化和品質保證問題。由於這些系統依賴統一、高度精確的資料流才能準確運行，因此組織孤島和不一致的資料管治往往會造成瓶頸，阻礙系統的應用，並降低人們對自動化結果的信心。對於希望充分利用決策智慧功能的企業而言，整合傳統基礎設施仍然是一項重大挑戰。

市場促進因素

先進人工智慧和機器學習技術的快速整合正在從根本上改變全球決策智慧市場，推動系統從靜態報告轉向動態預測建模。這種技術融合使企業能夠以前所未有的速度處理大量非結構化資料集並產生指導性結果，​​從而直接影響策略資源分配。為了支持這種向自動化認知能力的積極轉變，Google雲端2024年8月發布的「生成式人工智慧投資回報率」調查顯示，86%的高階主管計劃將未來至少一半的人工智慧預算分配給生成式人工智慧計劃。這項重大投資表明，決策智慧正在從一項可選升級轉變為核心競爭優勢。

同時，資料量和複雜性的爆炸性成長已成為關鍵催化劑，迫使企業採用先進的決策智慧框架來應對資訊過載。傳統基礎設施無法整合碎片化的資料流並有效利用訊息，已成為主要的營運瓶頸。根據 Cloudera 於 2024 年 3 月發布的《面向人工智慧時代的資料架構與策略》報告，62% 的 IT 決策者認為，龐大的資料量和複雜性是實現端到端資料管理和模型開發的關鍵障礙。這種從複雜環境中挖掘價值的壓力正在推動市場發展，IBM 2024 年的調查結果進一步印證了這一趨勢。該調查發現，59% 的已採用或正在考慮採用人工智慧的公司正在加速投資和部署，以滿足不斷成長的業務需求。

市場挑戰

全球決策智慧市場的成長受到資料碎片化及其導致的品質保證缺失的顯著限制。決策智慧模型需要統一且高度精確的資料流才能實現精確的計算並提供準確的預測洞察。然而，當關鍵資訊被孤立在組織內部的各個孤島中時，將分散的資料集整合為可執行洞察的能力就會受到根本性的損害。這種碎片化造成了嚴重的實施瓶頸，因為如果沒有一致的基礎設施，系統就無法產生可靠的結果。因此，人們對自動化決策的信任度下降，導致企業不願意採用這些先進功能，阻礙了整體市場的發展動能。

這種結構性缺陷的嚴重性體現在目前必要的監管管治採用率極低。根據ISACA的數據，截至2024年，只有15%的組織機構表示已製定了正式的人工智慧（AI）政策，而人工智慧是決策智慧環境的關鍵技術基礎。這種治理通訊協定的普遍缺失直接導致了報告中指出的資料標準碎片化問題。除非解決這一管治缺口，否則企業將繼續難以有效整合傳統基礎設施，從而阻礙決策智慧市場實現其應有的成長軌道。

市場趨勢

基於代理的人工智慧在自主決策領域的出現，標誌著從預測建模到無需人工干預即可執行複雜工作流程的自主系統的模式轉移。與僅提案行動建議的傳統決策支援工具不同，基於代理的人工智慧能夠主動協調企業各職能部門的任務，從而顯著提升營運效率。然而，由於企業在信任和控制機制方面面臨挑戰，其市場滲透率仍處於起步階段。Capgemini SA研究院2025年7月發布的報告《自主人工智慧的崛起》強調了這一發展差距，並預測到2028年，這些自主系統有望創造4,500億美元的經濟價值，但目前僅2%的組織實現了全面部署。這表明，一旦管治框架成熟，市場有望迎來爆發性成長。

同時，將可解釋人工智慧 (XAI) 納入監管合規正成為一項至關重要的營運要務，其驅動力在於需要在高風險環境中檢驗自動化決策。隨著決策智慧演算法被整合到核心業務流程中，這些模型的「黑箱」特性帶來了責任風險，迫使企業採用透明度標準以確保審核。這種向負責任管治的轉變如今與財務績效直接相關，而不再只是法律合規。為了支持這項策略調整，FICO 於 2025 年 10 月發布的報告《金融服務領域負責任人工智慧的現狀》指出，56% 的首席分析官認為負責任的人工智慧標準是提高投資回報率的關鍵促進因素，這表明可解釋性已發展成為價值創造的核心驅動力。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章：全球決策智慧市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按部署類型（雲端/本地部署）
    • 按組件（硬體、軟體、服務）
    • 按最終用戶行業（零售、金融、醫療保健、通訊、製造等）分類
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

6. 北美決策智慧市場展望

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

7. 歐洲決策智慧市場展望

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

8. 亞太決策智慧市場展望

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

9. 中東與非洲決策智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 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

10. 南美洲決策智慧市場展望

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

第11章 市場動態

  • 促進要素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章 全球決策智慧市場：SWOT分析

第14章 波特五力分析

  • 產業競爭
  • 新進入者的可能性
  • 供應商電力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Salesforce.com, Inc
  • SAS Institute Inc.
  • Oracle Corporation
  • SAP SE
  • Intel Corporation
  • Amazon Web Services, Inc.
  • Accenture plc

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: 16535

The Global Decision Intelligence Market is projected to experience significant expansion, growing from a valuation of USD 11.79 Billion in 2025 to USD 30.65 Billion by 2031, representing a compound annual growth rate of 17.26%. Decision Intelligence functions as a strategic discipline that blends data science, social science, and managerial theory to model, execute, and monitor decision-making processes, effectively enhancing human judgment with computational accuracy. This market is primarily driven by the critical business need to minimize latency in complex operational settings and the requirement to synthesize distinct datasets into actionable strategies, drivers that are fundamentally different from fleeting technological fads. Highlighting this foundational change, the IEEE reported in 2024 that 65% of global technology leaders view Artificial Intelligence as their main area of focus, emphasizing the essential role of automated cognitive processing in supporting the decision intelligence ecosystem.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 11.79 Billion
Market Size 2031USD 30.65 Billion
CAGR 2026-203117.26%
Fastest Growing SegmentFinance
Largest MarketNorth America

However, the growth of the Global Decision Intelligence Market faces a major obstacle in the form of data fragmentation and quality assurance issues. Because these systems rely on unified, high-fidelity data streams to operate accurately, organizational silos and inconsistent data governance often create bottlenecks that hinder implementation and diminish confidence in automated results. The challenge of integrating legacy infrastructure remains a significant barrier for enterprises seeking to fully utilize the capabilities of decision intelligence.

Market Driver

The rapid integration of advanced AI and machine learning technologies is fundamentally transforming the Global Decision Intelligence Market by shifting systems from static reporting to dynamic, predictive modeling. This technological convergence allows enterprises to process immense unstructured datasets and produce prescriptive outcomes with unmatched speed, directly impacting strategic resource allocation. Confirming this aggressive move toward automated cognitive capabilities, a Google Cloud 'ROI of Gen AI' study from August 2024 revealed that 86% of C-suite leaders intend to allocate at least half of their future AI budgets specifically to generative AI projects. Such a significant financial commitment suggests that decision intelligence is evolving into a core competitive requirement rather than merely an optional upgrade.

At the same time, the explosive growth in data volume and complexity serves as a critical catalyst, forcing organizations to adopt sophisticated decision intelligence frameworks to manage the information overload. As legacy infrastructures fail to reconcile fragmented data streams, the inability to effectively harness information becomes a primary operational bottleneck. According to Cloudera's 'Data Architecture and Strategy in the AI Era' report from March 2024, 62% of IT decision-makers identified the sheer volume and complexity of data as the main factor hindering their end-to-end data management and model development. This pressure to extract value from complex environments drives the market, a trend further supported by IBM's 2024 finding that 59% of enterprises already deploying or exploring AI have accelerated their investments and rollouts to meet these rising operational demands.

Market Challenge

The growth of the Global Decision Intelligence Market is severely constrained by data fragmentation and the associated lack of quality assurance. Decision intelligence models require unified, high-fidelity data streams to operate with computational precision and provide accurate predictive insights. However, when critical information is isolated within organizational silos, the capacity to synthesize disparate datasets into actionable intelligence is fundamentally compromised. This fragmentation results in significant implementation bottlenecks, as systems cannot generate reliable outcomes without a cohesive infrastructure. Consequently, trust in automated decision-making diminishes, causing enterprises to hesitate in adopting these advanced capabilities and stifling overall market momentum.

The severity of this structural weakness is reflected in the currently low adoption rates of necessary oversight frameworks. According to ISACA, in 2024, only 15% of organizations reported having formal policies in place for Artificial Intelligence, a key technological enabler of the decision intelligence landscape. This widespread lack of governance protocols directly contributes to the inconsistent data standards noted in the . As long as this governance gap persists, companies will continue to struggle with integrating legacy infrastructure effectively, thereby preventing the decision intelligence market from achieving its full growth trajectory.

Market Trends

The Emergence of Agentic AI for Autonomous Decision Execution marks a paradigm shift from predictive modeling to self-governing systems capable of executing complex workflows without human intervention. Unlike traditional decision support tools that merely recommend actions, agentic AI actively orchestrates tasks across enterprise functions, fundamentally changing operational efficiency. However, actual market penetration remains in its early stages as enterprises grapple with trust and control mechanisms. Highlighting this developmental gap, the Capgemini Research Institute's 'Rise of agentic AI' report from July 2025 projects that while these autonomous systems could unlock $450 billion in economic value by 2028, only 2% of organizations have achieved fully scaled deployments, indicating a market poised for explosive growth once governance frameworks mature.

Concurrently, the Incorporation of Explainable AI (XAI) for Regulatory Compliance is becoming a critical operational imperative, driven by the need to validate automated decisions in high-stakes environments. As decision intelligence algorithms become integrated into core business processes, the "black box" nature of these models poses liability risks, compelling organizations to adopt transparency standards that ensure auditability. This shift toward responsible governance is now directly linked to financial performance rather than just legal adherence. Validating this strategic alignment, FICO's 'State of Responsible AI in Financial Services' report from October 2025 noted that 56% of Chief Analytics Officers identified responsible AI standards as a leading contributor to increasing return on investment, signaling that explainability has evolved into a central driver of value creation.

Key Market Players

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Salesforce.com, Inc
  • SAS Institute Inc.
  • Oracle Corporation
  • SAP SE
  • Intel Corporation
  • Amazon Web Services, Inc.
  • Accenture plc

Report Scope

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

Decision Intelligence Market, By Deployment Mode

  • Cloud
  • On-Premises

Decision Intelligence Market, By Component

  • Hardware
  • Software
  • Services

Decision Intelligence Market, By End-User Industry

  • Retail
  • Finance
  • Healthcare
  • Telecommunications
  • Manufacturing
  • Others

Decision 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 Decision Intelligence Market.

Available Customizations:

Global Decision 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 Decision Intelligence Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Deployment Mode (Cloud, On-Premises)
    • 5.2.2. By Component (Hardware, Software, Services)
    • 5.2.3. By End-User Industry (Retail, Finance, Healthcare, Telecommunications, Manufacturing, Others)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Decision Intelligence Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Deployment Mode
    • 6.2.2. By Component
    • 6.2.3. By End-User Industry
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Decision 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 Mode
        • 6.3.1.2.2. By Component
        • 6.3.1.2.3. By End-User Industry
    • 6.3.2. Canada Decision 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 Mode
        • 6.3.2.2.2. By Component
        • 6.3.2.2.3. By End-User Industry
    • 6.3.3. Mexico Decision 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 Mode
        • 6.3.3.2.2. By Component
        • 6.3.3.2.3. By End-User Industry

7. Europe Decision Intelligence Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Deployment Mode
    • 7.2.2. By Component
    • 7.2.3. By End-User Industry
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Decision 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 Mode
        • 7.3.1.2.2. By Component
        • 7.3.1.2.3. By End-User Industry
    • 7.3.2. France Decision 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 Mode
        • 7.3.2.2.2. By Component
        • 7.3.2.2.3. By End-User Industry
    • 7.3.3. United Kingdom Decision 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 Mode
        • 7.3.3.2.2. By Component
        • 7.3.3.2.3. By End-User Industry
    • 7.3.4. Italy Decision 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 Mode
        • 7.3.4.2.2. By Component
        • 7.3.4.2.3. By End-User Industry
    • 7.3.5. Spain Decision 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 Mode
        • 7.3.5.2.2. By Component
        • 7.3.5.2.3. By End-User Industry

8. Asia Pacific Decision Intelligence Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Deployment Mode
    • 8.2.2. By Component
    • 8.2.3. By End-User Industry
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Decision 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 Mode
        • 8.3.1.2.2. By Component
        • 8.3.1.2.3. By End-User Industry
    • 8.3.2. India Decision 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 Mode
        • 8.3.2.2.2. By Component
        • 8.3.2.2.3. By End-User Industry
    • 8.3.3. Japan Decision 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 Mode
        • 8.3.3.2.2. By Component
        • 8.3.3.2.3. By End-User Industry
    • 8.3.4. South Korea Decision 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 Mode
        • 8.3.4.2.2. By Component
        • 8.3.4.2.3. By End-User Industry
    • 8.3.5. Australia Decision 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 Mode
        • 8.3.5.2.2. By Component
        • 8.3.5.2.3. By End-User Industry

9. Middle East & Africa Decision Intelligence Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Deployment Mode
    • 9.2.2. By Component
    • 9.2.3. By End-User Industry
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Decision 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 Mode
        • 9.3.1.2.2. By Component
        • 9.3.1.2.3. By End-User Industry
    • 9.3.2. UAE Decision 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 Mode
        • 9.3.2.2.2. By Component
        • 9.3.2.2.3. By End-User Industry
    • 9.3.3. South Africa Decision 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 Mode
        • 9.3.3.2.2. By Component
        • 9.3.3.2.3. By End-User Industry

10. South America Decision Intelligence Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Deployment Mode
    • 10.2.2. By Component
    • 10.2.3. By End-User Industry
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Decision 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 Mode
        • 10.3.1.2.2. By Component
        • 10.3.1.2.3. By End-User Industry
    • 10.3.2. Colombia Decision 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 Mode
        • 10.3.2.2.2. By Component
        • 10.3.2.2.3. By End-User Industry
    • 10.3.3. Argentina Decision 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 Mode
        • 10.3.3.2.2. By Component
        • 10.3.3.2.3. By End-User Industry

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 Decision 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. Microsoft Corporation
  • 15.3. Google LLC
  • 15.4. Salesforce.com, Inc
  • 15.5. SAS Institute Inc.
  • 15.6. Oracle Corporation
  • 15.7. SAP SE
  • 15.8. Intel Corporation
  • 15.9. Amazon Web Services, Inc.
  • 15.10. Accenture plc

16. Strategic Recommendations

17. About Us & Disclaimer