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市場調查報告書
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1946451

零售分析市場 - 全球產業規模、佔有率、趨勢、機會、預測（按組件、部署模式、應用、地區和競爭格局分類），2021-2031年

Retail Analytics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast. Segmented By Component, By Deployment Mode, By Application, By Region & Competition, 2021-2031F
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

全球零售分析市場預計將從 2025 年的 87.3 億美元大幅成長至 2031 年的 258.3 億美元，複合年成長率達 19.82%。

零售分析是指系統性地處理消費者、供應鏈和庫存數據，以最佳化行銷、商品組合和定價策略。推動該市場發展的關鍵因素是營運效率的重要性以及數位通路產生的數據量顯著成長，這使得採用先進的分析工具對於做出精準決策至關重要。數位商務的強勁成長凸顯了這一不斷變化的市場格局。美國零售聯合會 (NRF) 報告稱，到 2024 年，線上和非實體店銷售額將增加 7% 至 9%，總額將達到 1.47 兆美元至 1.5 兆美元。數位活動的成長凸顯了分析在解讀複雜消費行為發揮的關鍵作用。

市場概覽
預測期 2027-2031
市場規模：2025年 87.3億美元
市場規模：2031年 258.3億美元
複合年成長率：2026-2031年 19.82%
成長最快的細分市場 雲
最大的市場 北美洲

阻礙全球零售分析市場成長的主要障礙之一是日益複雜的安全合規和資料隱私法規。世界各國政府都在加強對消費者資訊收集和使用的法律體制，要求嚴格的透明度和管治標準。這些監管挑戰往往造成應用門檻高，並帶來巨大的合規成本。因此，資源有限的中小型企業往往不願意實施全面的分析解決方案，而大型企業的資料使用範圍也受到限制。

市場促進因素

將機器學習和人工智慧融入預測分析是全球零售分析市場的關鍵驅動力，從根本上改變了決策通訊協定。零售商正擴大利用這些技術處理大量資料集，從而實現精準的需求預測和動態定價，直接提升盈利。這種營運模式的變革正在帶來切實可見的財務效益。根據英偉達於2025年1月發布的《零售和消費品產業人工智慧現狀報告》，87%的零售商表示人工智慧對其年度收入產生了積極影響。這些可衡量的成功正在推動人工智慧的普及應用，而各組織都希望利用預測模型在競爭激烈的市場中獲得優勢。

此外，對即時庫存管理和供應鏈最佳化的需求正在推動市場擴張，這需要先進的分析技術來簡化物流並最大限度地減少中斷。隨著消費者對速度和產品可用性的要求不斷提高，零售商必須實現複雜工作流程的自動化，以確保效率和庫存準確性。這項策略重點也體現在大規模投資計畫中。根據Honeywell2025年1月發布的《零售業人工智慧調查》，超過80%的零售商計劃擴大自動化和人工智慧的應用，以適應不斷變化的消費行為。此外，英偉達指出，到2025年，94%的零售商認為人工智慧將幫助他們降低年度營運成本，這證實了數據驅動策略正成為提高效率的標準做法。

市場挑戰

日益複雜的安全合規和資料隱私法規是全球零售分析市場成長的主要障礙。隨著世界各國實施關於消費者資料收集和使用的嚴格法律體制，零售商面臨建立嚴格的透明度和管治標準的壓力。這種監管壓力分散了關鍵的營運和財務資源，使其無法用於創新和採用先進的分析技術，促使企業採取防禦性的商業策略。這些合規要求實際上設定了很高的進入門檻，尤其對於缺乏資金實施大規模法律和技術保障措施的中小型企業而言，這進一步縮小了分析解決方案的潛在市場規模。

此障礙帶來的財務影響十分顯著。根據國際隱私專業人員協會 (IAPP) 的數據，到 2024 年，各組織機構的平均年度隱私預算將增加約 175 萬美元。這部分非創收支出的增加迫使零售商優先考慮合規支出，而非提升分析能力。因此，高成本不僅延緩了分析策略的採用，也限制了大型組織機構的資料利用範圍，直接阻礙了市場的整體成長。

市場趨勢

零售媒體網路分析的興起正在重塑大型零售商的收入模式，並將數位廣告發布商轉變為需要高級衡量能力的發布商。隨著零售商不斷將其第一方數據貨幣化，對能夠為廣告商提供檢驗的廣告支出回報率 (ROAS) 和閉合迴路歸因的精細化分析的需求顯著成長。這超越了基本的銷售指標，能夠提供深入的受眾洞察。這一趨勢正在推動對能夠追蹤客戶異地和站外管道旅程的平台進行大量投資，從而為媒體預算提供依據。互動廣告局 (IAB) 於 2025 年 4 月發布的《網路廣告收入報告》強調了這項機會的規模，預測零售媒體網路廣告收入將在 2024 年達到 537 億美元，年增 23.0%。

同時，將生成式人工智慧應用於動態內容生成，正推動行銷方式從靜態的、細分化的行銷模式轉向即時、高度個人化的行銷模式。與專注於價格和存量基準的傳統預測模型不同，生成式人工智慧使零售商能夠即時創建獨特的商品描述、視覺素材和行銷文案，並根據每位消費者的偏好進行個人化。這種能力使零售商能夠大規模地提供情境感知且高度相關的互動，從而提升客戶參與。這需要能夠評估人工智慧生成素材效果的分析解決方案。 Salesforce 和零售人工智慧委員會 (Retail AI Council) 於 2024 年 3銷售團隊的一項調查支援了這一廣泛應用，該調查顯示，93% 的零售商已經在使用生成式人工智慧來完成個人化任務，例如客製化電子郵件文案和產品推薦。

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 全球零售分析市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按組件分類（軟體與服務）
    • 依部署類型（雲端部署與本機部署）
    • 透過應用（商品行銷分析及其他）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美零售分析市場展望

  • 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. 歐洲零售分析市場展望

  • 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. 亞太零售分析市場展望

  • 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. 中東和非洲零售分析市場展望

  • 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

第10章：南美洲零售分析市場展望

  • 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 全球零售分析市場：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
  • SAP SE
  • Microsoft Corporation
  • Adobe Inc.
  • Oracle Corporation
  • SAS Institute Inc.
  • Qlik Technologies Inc.
  • Salesforce Company
  • Teradata Corporation
  • MicroStrategy Incorporated
  • HCL Technologies Limited
  • Domo Inc.
  • Information Builders 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: 1274

The Global Retail Analytics Market is projected to expand significantly, growing from USD 8.73 Billion in 2025 to USD 25.83 Billion by 2031, representing a CAGR of 19.82%. Retail analytics involves the systematic processing of consumer, supply chain, and inventory data to refine marketing, merchandising, and pricing strategies. The market is chiefly driven by the critical need for operational efficiency and the massive surge in data volume produced by digital channels, which necessitates the adoption of advanced analytical tools for accurate decision-making. This evolving landscape is highlighted by the robust growth of digital commerce; the National Retail Federation reported in 2024 that online and non-store sales are expected to rise between 7% and 9%, reaching a total of $1.47 trillion to $1.50 trillion. This increase in digital activity emphasizes the essential role of analytics in interpreting complex consumer behaviors.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 8.73 Billion
Market Size 2031USD 25.83 Billion
CAGR 2026-203119.82%
Fastest Growing SegmentCloud
Largest MarketNorth America

One major obstacle hindering the growth of the global retail analytics market is the growing complexity of security compliance and data privacy regulations. Governments are enforcing strict legal frameworks concerning the collection and use of consumer information, which demands rigorous transparency and governance standards. These regulatory challenges frequently establish high barriers to implementation and incur substantial compliance costs. Consequently, smaller enterprises with limited resources are often deterred from adopting comprehensive analytics solutions, while larger organizations face restrictions on the scope of their data utilization.

Market Driver

The incorporation of Machine Learning and Artificial Intelligence into predictive analytics serves as a primary driver for the Global Retail Analytics Market, fundamentally transforming decision-making protocols. Retailers are increasingly utilizing these technologies to process immense datasets, facilitating precise demand forecasting and dynamic pricing that directly improve profitability. This operational evolution is yielding tangible financial benefits; according to the 'State of AI in Retail and CPG' report by NVIDIA in January 2025, 87% of retailers reported that AI positively impacted their annual revenue. Such measurable success is fueling widespread adoption, as organizations strive to use predictive models to secure a competitive advantage in a crowded marketplace.

Furthermore, the necessity for real-time inventory management and supply chain optimization drives market expansion, requiring advanced analytics to streamline logistics and minimize disruptions. As consumer demands for speed and product availability increase, retailers must automate intricate operational workflows to guarantee efficiency and stock accuracy. This strategic focus is reflected in significant investment plans; the Honeywell 'AI in Retail Survey' from January 2025 indicates that over 80% of retailers intend to increase their use of automation and artificial intelligence to align with shifting consumer behaviors. Additionally, NVIDIA noted in 2025 that 94% of retailers found AI instrumental in reducing annual operational costs, confirming that data-driven strategies are becoming standard practice for efficiency.

Market Challenge

The escalating complexity of security compliance and data privacy regulations represents a primary barrier to the growth of the Global Retail Analytics Market. With governments globally implementing stringent legal frameworks regarding the collection and use of consumer data, retailers are forced to institute rigorous transparency and governance standards. This regulatory pressure siphons critical operational and financial resources away from innovation and the adoption of advanced analytics, fostering a defensive business posture. These compliance requirements effectively create high entry barriers, particularly for smaller enterprises lacking the capital for extensive legal and technical safeguards, thereby shrinking the total addressable market for analytics solutions.

The financial impact of this hurdle is substantial. Data from the International Association of Privacy Professionals indicates that the average annual privacy budget for organizations increased to approximately $1.75 million in 2024. This rise in non-revenue-generating expenditure compels retailers to consolidate their spending on compliance rather than enhancing their analytical capabilities. Consequently, the high cost of adhering to regulations not only delays the implementation of analytics strategies but also limits the extent of data utilization for larger organizations, directly stalling the overall growth of the market.

Market Trends

The rise of Retail Media Network Analytics is reshaping the revenue models of major retailers, transforming them into digital advertising publishers that require advanced measurement capabilities. As retailers monetize their first-party data, there is a critical demand for granular analytics that offer advertisers verifiable return on ad spend and closed-loop attribution, moving beyond basic sales metrics to provide deep audience insights. This trend is prompting significant investment in platforms capable of tracking customer journeys across both offsite and onsite channels to justify media budgets. The IAB's 'Internet Advertising Revenue Report' from April 2025 highlights the scale of this opportunity, noting that retail media network advertising revenues grew 23.0% year-over-year to reach $53.7 billion in 2024.

Simultaneously, the integration of Generative AI for Dynamic Content Creation is enabling a transition from static, segmented marketing to real-time, hyper-personalization. Unlike traditional predictive models that focus on pricing or stock levels, generative AI allows for the immediate creation of unique product descriptions, visual assets, and marketing copy tailored to individual shopper preferences. This capability allows retailers to improve customer engagement by delivering context-aware, highly relevant interactions at scale, requiring analytics solutions that can evaluate the performance of AI-generated assets. A March 2024 study by Salesforce and the Retail AI Council confirms this widespread commitment, reporting that 93% of retailers are already employing generative AI for personalization tasks such as customized email copy and product recommendations.

Key Market Players

  • IBM Corporation
  • SAP SE
  • Microsoft Corporation
  • Adobe Inc.
  • Oracle Corporation
  • SAS Institute Inc.
  • Qlik Technologies Inc.
  • Salesforce Company
  • Teradata Corporation
  • MicroStrategy Incorporated
  • HCL Technologies Limited
  • Domo Inc.
  • Information Builders Inc.

Report Scope

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

Retail Analytics Market, By Component

  • Software Vs. Service

Retail Analytics Market, By Deployment Mode

  • Cloud Vs. On-Premises

Retail Analytics Market, By Application

  • Merchandising Analytics & Others

Retail Analytics 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 Retail Analytics Market.

Available Customizations:

Global Retail Analytics 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 Retail Analytics Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Software Vs. Service)
    • 5.2.2. By Deployment Mode (Cloud Vs. On-Premises)
    • 5.2.3. By Application (Merchandising Analytics & Others)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Retail Analytics Market Outlook

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

7. Europe Retail Analytics Market Outlook

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

8. Asia Pacific Retail Analytics Market Outlook

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

9. Middle East & Africa Retail Analytics Market Outlook

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

10. South America Retail Analytics Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment Mode
    • 10.2.3. By Application
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Retail Analytics 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 Component
        • 10.3.1.2.2. By Deployment Mode
        • 10.3.1.2.3. By Application
    • 10.3.2. Colombia Retail Analytics 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 Component
        • 10.3.2.2.2. By Deployment Mode
        • 10.3.2.2.3. By Application
    • 10.3.3. Argentina Retail Analytics 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 Component
        • 10.3.3.2.2. By Deployment Mode
        • 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 Retail Analytics 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. Microsoft Corporation
  • 15.4. Adobe Inc.
  • 15.5. Oracle Corporation
  • 15.6. SAS Institute Inc.
  • 15.7. Qlik Technologies Inc.
  • 15.8. Salesforce Company
  • 15.9. Teradata Corporation
  • 15.10. MicroStrategy Incorporated
  • 15.11. HCL Technologies Limited
  • 15.12. Domo Inc.
  • 15.13. Information Builders Inc.

16. Strategic Recommendations

17. About Us & Disclaimer