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市场调查报告书
商品编码
1946451

零售分析市场 - 全球产业规模、份额、趋势、机会、预测（按组件、部署模式、应用、地区和竞争格局划分），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个工作天内

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简介目录

全球零售分析市场预计将从 2025 年的 87.3 亿美元大幅成长至 2031 年的 258.3 亿美元，复合年增长率达 19.82%。

零售分析是指系统性地处理消费者、供应链和库存数据，以优化行销、商品组合和定价策略。推动该市场发展的关键因素是营运效率的重要性以及数位通路产生的数据量显着增长，这使得采用先进的分析工具对于做出精准决策至关重要。数位商务的强劲成长凸显了这一不断变化的市场格局。美国零售联合会 (NRF) 报告称，到 2024 年，线上和非实体店销售额将增加 7% 至 9%，总额将达到 1.47 兆美元至 1.5 兆美元。数位活动的成长凸显了分析在解读复杂消费行为发挥的关键作用。

市场概览
预测期 2027-2031
市场规模：2025年 87.3亿美元
市场规模：2031年 258.3亿美元
复合年增长率：2026-2031年 19.82%
成长最快的细分市场 云
最大的市场 北美洲

阻碍全球零售分析市场成长的主要障碍之一是日益复杂的安全合规和资料隐私法规。世界各国政府都在加强对消费者资讯收集和使用的法律体制，要求严格的透明度和管治标准。这些监管挑战往往造成应用门槛高，并带来巨大的合规成本。因此，资源有限的中小型企业往往不愿意实施全面的分析解决方案，而大型企业的资料使用范围也受到限制。

市场驱动因素

将机器学习和人工智慧融入预测分析是全球零售分析市场的关键驱动力，从根本上改变了决策通讯协定。零售商正越来越多地利用这些技术处理大量资料集，从而实现精准的需求预测和动态定价，直接提升盈利。这种营运模式的变革正在带来切实可见的财务效益。根据英伟达于2025年1月发布的《零售和消费品产业人工智慧现状报告》，87%的零售商表示人工智慧对其年度收入产生了积极影响。这些可衡量的成功正在推动人工智慧的普及应用，而各组织都希望利用预测模型在竞争激烈的市场中获得优势。

此外，对即时库存管理和供应链优化的需求正在推动市场扩张，这需要先进的分析技术来简化物流并最大限度地减少中断。随着消费者对速度和产品可用性的要求不断提高，零售商必须实现复杂工作流程的自动化，以确保效率和库存准确性。这项策略重点也体现在大规模投资计画中。根据Honeywell2025年1月发布的《零售业人工智慧调查》，超过80%的零售商计划扩大自动化和人工智慧的应用，以适应不断变化的消费行为。此外，英伟达指出，到2025年，94%的零售商认为人工智慧将帮助他们降低年度营运成本，这证实了数据驱动策略正成为提高效率的标准做法。

市场挑战

日益复杂的安全合规和资料隐私法规是全球零售分析市场成长的主要障碍。随着世界各国实施关于消费者资料收集和使用的严格法律体制，零售商面临建立严格的透明度和管治标准的压力。这种监管压力分散了关键的营运和财务资源，使其无法用于创新和采用先进的分析技术，促使企业采取防御性的商业策略。这些合规要求实际上设定了很高的进入门槛，尤其对于缺乏资金实施大规模法律和技术保障措施的中小型企业而言，这进一步缩小了分析解决方案的潜在市场规模。

此障碍带来的财务影响十分显着。根据国际隐私专业人员协会 (IAPP) 的数据，到 2024 年，各组织机构的平均年度隐私预算将增加约 175 万美元。这部分非创收支出的增加迫使零售商优先考虑合规支出，而非提升分析能力。因此，高成本不仅延缓了分析策略的采用，也限制了大型组织机构的资料利用范围，直接阻碍了市场的整体成长。

市场趋势

零售媒体网路分析的兴起正在重塑大型零售商的收入模式，并将数位广告发布商转变为需要高级衡量能力的发布商。随着零售商不断将其第一方数据货币化，对能够为广告商提供检验的广告支出回报率 (ROAS) 和闭合迴路归因的精细化分析的需求显着增长。这超越了基本的销售指标，能够提供深入的受众洞察。这一趋势正在推动对能够追踪客户异地和站外管道旅程的平台进行大量投资，从而为媒体预算提供依据。互动广告局 (IAB) 于 2025 年 4 月发布的《网路广告收入报告》强调了这项机会的规模，预测零售媒体网路广告收入将在 2024 年达到 537 亿美元，年增 23.0%。

同时，将生成式人工智慧应用于动态内容生成，正推动行销方式从静态的、细分化的行销模式转向即时、高度个人化的行销模式。与专注于价格和存量基准的传统预测模型不同，生成式人工智慧使零售商能够即时创建独特的商品描述、视觉素材和行销文案，并根据每位消费者的偏好进行个人化。这种能力使零售商能够大规模地提供情境感知且高度相关的互动，从而提升客户参与。这需要能够评估人工智慧生成素材效果的分析解决方案。 Salesforce 和零售人工智慧委员会 (Retail AI Council) 于 2024 年 3销售团队的一项调查支援了这一广泛应用，该调查显示，93% 的零售商已经在使用生成式人工智慧来完成个人化任务，例如客製化电子邮件文案和产品推荐。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球零售分析市场展望

  • 市场规模及预测
    • 按金额
  • 市占率及预测
    • 按组件划分（软体与服务）
    • 依部署类型（云端部署与本机部署）
    • 透过应用（商品行销分析及其他）
    • 按地区
    • 按公司（2025 年）
  • 市场地图

第六章：北美零售分析市场展望

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

7. 欧洲零售分析市场展望

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

8. 亚太零售分析市场展望

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

9. 中东和非洲零售分析市场展望

  • 市场规模及预测
  • 市占率及预测
  • 中东和非洲：国家分析
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第十章：南美洲零售分析市场展望

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

第十一章 市场动态

  • 司机
  • 任务

第十二章 市场趋势与发展

  • 併购
  • 产品发布
  • 最新进展

第十三章 全球零售分析市场：SWOT分析

第十四章 波特五力分析

  • 产业竞争
  • 新进入者的可能性
  • 供应商电力
  • 顾客权力
  • 替代品的威胁

第十五章 竞争格局

  • 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: 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