巨量资料分析市场－全球产业规模、份额、趋势、机会和预测：按组件、部署模式、应用、组织规模、垂直产业、地区、竞争格局和机会划分，2021-2031年

全球巨量资料分析市场预计将从2025年的3,367.8亿美元显着成长至2031年的7,781.8亿美元，复合年增长率（CAGR）为14.98%。该行业分析海量且多样化的数据集，以挖掘隐藏的模式、市场趋势和消费者偏好，从而支持明智的决策流程。该行业的成长主要受数位管道产生的数据呈指数级增长以及企业迫切需要从中提取可执行的洞察以获得竞争优势的驱动。此外，提高营运效率的需求以及对数据驱动型洞察在预测客户行为和优化商务策略日益增长的依赖，也进一步强化了这项需求。

儘管潜力巨大，但该行业仍面临着与资料管理复杂性和基础设施挑战相关的重大障碍。企业经常难以有效地汇总和确保分析所需原始资讯的品质。根据 CompTIA 2024 年的一项调查，36% 的公司表示，收集和准备进阶输入所需的资料集仍然是一项重大挑战。这项数据表明，企业在建立强大的数据基础方面仍然面临持续的挑战，而这对于成功部署分析解决方案至关重要。

市场驱动因素

人工智慧 (AI) 和机器学习 (ML) 的整合正在革新全球巨量资料分析市场，实现更高阶的预测洞察并自动化复杂的资料操作。企业正逐步将这些技术融入工作流程，从说明分析转向预测性分析，并更有效地从大型资料集中提取价值。这种转变需要对资料准备和管理通讯协定进行重大调整，以支援演算法处理。根据 dbt Labs 于 2024 年 10 月发布的《分析工程现况》报告，57% 的受访专业人士目前拥有或计划专门用于 AI 训练的资料管理，这凸显了向 AI 赋能架构转型的重要性，对于希望利用智慧自动化改进决策的企业而言，这无疑是一项关键的竞争优势。

同时，云端和混合分析解决方案的快速普及正在推动市场成长。企业正在寻求可扩展的基础设施来应对不断增长的资讯负载，而摆脱僵化的本地部署系统，使他们能够利用现代分析所需的灵活储存和运算能力。混合框架还能在可扩展性和资料主权之间取得平衡。根据 Cloudera 于 2024 年 8 月发布的《企业人工智慧和现代资料架构现状》报告，90% 的 IT 领导者认为，在单一平台上统一资料生命週期对于有效执行分析和人工智慧至关重要。这种结构性转变主要源自于资讯生成规模的急遽成长。 Sigma Computing 指出，87% 的企业在 2024 年将经历数据同比增长，这凸显了市场对强大且支持云端的管理平台的迫切需求。

市场挑战

资料管理的复杂性和基础设施的匮乏是限制全球巨量资料分析市场扩张的关键阻碍因素。儘管市场对可执行洞察的需求旺盛，但由于许多公司尚未建立高阶分析所需的底层架构，该市场面临严峻的挑战。当企业面临资料孤岛和缺乏互通性的旧有系统时，分析工具的采用效率低甚至完全停滞。这种营运摩擦阻碍了企业快速获得投资回报，延长了计划週期，并抑制了企业为进一步发展分析业务而拨出的预算。

这种结构成熟度的不足直接影响了市场发展势头，迫使企业暂停实施，转而解决潜在的品质问题。 ISACA预测，到2024年，全球37%的技术专业人士将把流程和管治实践不完善视为实现其组织数位化信任和资料目标的主要障碍。这种准备不足导致相当一部分潜在市场仍停留在准备阶段，而无法进入高价值分析解决方案的积极采购阶段。

市场趋势

边缘运算和分析的兴起正在从根本上改变资料处理策略，它将运算任务转移到更靠近资讯产生点的位置，从而摆脱了集中式云端框架的束缚。这种去中心化的转变降低了延迟和频宽消耗，有助于那些高度依赖物联网设备的产业进行即时决策。随着各行业越来越重视永续性和效率，边缘解决方案也越来越多地针对特定垂直应用进行客製化，而非通用处理。根据Eclipse基金会于2024年12月发布的《2024年物联网与嵌入式开发者调查》，29%的开发者表示他们正在开发专门用于能源管理的边缘解决方案，高于前一年的24%。这证实了该技术在关键工业领域的快速发展。

数据可观测性和品质解决方案的出现，是应对日益复杂的自动化数据管道所带来的可靠性挑战的必然趋势。与专注于基础设施健康状况的传统监控不同，可观测性能够深入洞察数据本身，使团队能够在异常和模式变更影响下游应用之前将其检测出来。生成模型的普及推动了这一转变，因为在生成模型中，输入资料的准确性至关重要，但往往难以保证。根据 Monte Carlo Data 于 2024 年 6 月发布的《2024 年可信人工智慧现状研究报告》，67% 的数据专业人员承认他们目前并不完全信任为其生成式人工智慧应用程式提供支援的数据，这凸显了市场对高阶可靠性平台的迫切需求。

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 全球巨量资料分析市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 按组件（解决方案、服务）
  • 依部署类型（本机部署、云端部署、混合式部署）
  • 按应用领域（风险与诈欺分析、企业资料仓储最佳化、物联网、客户分析、商业分析、安全智慧、其他）
  • 依组织规模（大型公司、中小企业）
  • 按行业划分（银行、金融、保险、医疗保健、政府、IT、通讯、製造、零售、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章：北美巨量资料分析市场展望

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

第七章：欧洲巨量资料分析市场展望

• 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

第八章 亚太巨量资料分析市场展望

• 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

第九章：中东和非洲巨量资料分析市场展望

• 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：南美巨量资料分析市场展望

• 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 全球巨量资料分析市场：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

• HID Global Corporation
• HERE Global BV
• STMicroelectronics NV
• Sonitor Technologies AS
• Zebra Technologies Corporation
• Hewlett Packard Enterprise Development LP
• Mist Systems Inc.
• Broadcom, Inc.
• Cisco Systems, Inc.
• Acuity Brands, Inc.

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global Big Data Analytics Market is projected to expand significantly, rising from USD 336.78 Billion in 2025 to USD 778.18 Billion by 2031, reflecting a compound annual growth rate of 14.98%. This field involves examining vast and diverse datasets to reveal concealed patterns, market trends, and consumer preferences, thereby facilitating well-informed decision-making processes. The sector's growth is largely fueled by the exponential surge in data generated via digital channels and the urgent necessity for enterprises to extract actionable intelligence to gain a competitive edge. Furthermore, this demand is reinforced by the mandate to improve operational efficiency and an increasing dependence on data-driven insights to anticipate customer behavior and refine business strategies.

Despite this potential, the industry encounters a substantial obstacle related to the intricacies of data management and infrastructure preparedness. Organizations frequently face difficulties in effectively aggregating and ensuring the quality of raw information needed for analysis. According to a 2024 survey by CompTIA, 36% of firms indicated that the collection and preparation of datasets required for advanced inputs continue to be a significant challenge. This statistic underscores the enduring struggle businesses face in building the robust data foundations that are indispensable for the successful deployment of analytics solutions.

Market Driver

The assimilation of Artificial Intelligence and Machine Learning (AI/ML) is profoundly transforming the Global Big Data Analytics Market by facilitating advanced predictive insights and automating intricate data operations. Enterprises are progressively incorporating these technologies into their workflows to extract value from massive datasets more effectively, transitioning from descriptive analytics to prescriptive functions. This movement necessitates a major adjustment in data preparation and management protocols to sustain algorithmic processing. As reported by dbt Labs in their October '2024 State of Analytics Engineering' report, 57% of surveyed professionals stated they currently manage or anticipate managing data specifically for AI training, highlighting the crucial shift toward AI-ready architectures as a key competitive differentiator for businesses aiming to utilize intelligent automation for enhanced decision-making.

Simultaneously, the rapid uptake of cloud-based and hybrid analytics solutions is fueling market growth as corporations look for scalable infrastructure to accommodate escalating information loads. Moving away from rigid on-premise systems enables companies to utilize the flexible storage and computing power necessary for contemporary analytics, while hybrid frameworks provide a compromise between scalability and data sovereignty. According to the 'The State of Enterprise AI and Modern Data Architecture' report by Cloudera in August 2024, 90% of IT leaders consider unifying the data lifecycle on a single platform essential for effective analytics and AI execution. This structural progression is primarily a reaction to the immense scale of information generation; Sigma Computing noted in 2024 that 87% of companies experienced an increase in data volumes over the preceding year, emphasizing the critical market requirement for sturdy, cloud-enabled management platforms.

Market Challenge

The complexities of data management and the lack of infrastructure readiness serve as a major restriction on the expansion of the Global Big Data Analytics Market. Although there is a significant demand for actionable intelligence, the market faces deep-seated struggles due to the inability of numerous enterprises to build the foundational architecture required for high-level analysis. When organizations encounter disjointed data silos and legacy systems that fail to interoperate, the implementation of analytics tools becomes inefficient or comes to a complete halt. This operational friction hinders businesses from achieving a rapid return on investment, resulting in prolonged project timelines and a hesitation to allocate budget for further analytics growth.

This lack of structural maturity directly affects market momentum by compelling companies to suspend adoption while they resolve fundamental quality concerns. According to ISACA, in 2024, 37% of global technology professionals pinpointed inadequate processes and governance practices as a primary barrier to realizing their organization's digital trust and data goals. This insufficient readiness ensures that a considerable segment of the potential market remains trapped in the preparatory stage rather than progressing to the active procurement of high-value analytics solutions.

Market Trends

The growth of Edge Computing and Analytics is radically changing data processing strategies by relocating computation closer to the point of information generation, separate from centralized cloud frameworks. This move toward decentralization reduces latency and bandwidth consumption, facilitating real-time decision-making in industries that depend heavily on Internet of Things (IoT) devices. As sectors place a higher priority on sustainability and efficiency, edge solutions are increasingly being customized for specific vertical uses rather than general processing. According to the Eclipse Foundation's '2024 IoT & Embedded Developer Survey' from December 2024, 29% of developers indicated they are creating edge solutions specifically for energy management, rising from 24% the prior year, which underscores the focused expansion of this technology within vital industrial areas.

The emergence of Data Observability and Quality Solutions represents a necessary progression to handle the reliability issues spawned by complex, automated data pipelines. Distinct from traditional monitoring that targets infrastructure health, observability offers profound visibility into the data itself, enabling teams to spot anomalies and schema alterations before they affect downstream applications. This transition is being hastened by the incorporation of generative models, where the accuracy of input is critical yet frequently unsure. As stated by Monte Carlo Data in the '2024 State of Reliable AI Survey' from June 2024, 67% of data professionals acknowledged they do not fully trust the data currently supporting their generative AI applications, highlighting the pressing market need for sophisticated reliability platforms.

Key Market Players

• HID Global Corporation
• HERE Global BV
• STMicroelectronics N.V.
• Sonitor Technologies AS
• Zebra Technologies Corporation
• Hewlett Packard Enterprise Development LP
• Mist Systems Inc.
• Broadcom, Inc.
• Cisco Systems, Inc.
• Acuity Brands, Inc.

Report Scope

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

Big Data Analytics Market, By Component

• Solutions
• Services

Big Data Analytics Market, By Deployment Mode

• On-Premises
• Cloud
• Hybrid

Big Data Analytics Market, By Application

• Risk & Fraud Analytics
• Enterprise Data Warehouse Optimization
• Internet of Things
• Customer Analytics
• Operational Analytics
• Security Intelligence
• Others

Big Data Analytics Market, By Organization Size

• Large Enterprises
• SMEs

Big Data Analytics Market, By Industry

• BFSI
• Healthcare
• Government
• IT & Telecom
• Manufacturing
• Retail
• Others

Big Data 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 Big Data Analytics Market.

Available Customizations:

Global Big Data 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 Big Data Analytics Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Solutions, Services)
  • 5.2.2. By Deployment Mode (On-Premises, Cloud, Hybrid)
  • 5.2.3. By Application (Risk & Fraud Analytics, Enterprise Data Warehouse Optimization, Internet of Things, Customer Analytics, Operational Analytics, Security Intelligence, Others)
  • 5.2.4. By Organization Size (Large Enterprises, SMEs)
  • 5.2.5. By Industry (BFSI, Healthcare, Government, IT & Telecom, Manufacturing, Retail, Others)
  • 5.2.6. By Region
  • 5.2.7. By Company (2025)
• 5.3. Market Map

6. North America Big Data 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 Organization Size
  • 6.2.5. By Industry
  • 6.2.6. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Big Data 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
      • 6.3.1.2.4. By Organization Size
      • 6.3.1.2.5. By Industry
  • 6.3.2. Canada Big Data 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
      • 6.3.2.2.4. By Organization Size
      • 6.3.2.2.5. By Industry
  • 6.3.3. Mexico Big Data 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
      • 6.3.3.2.4. By Organization Size
      • 6.3.3.2.5. By Industry

7. Europe Big Data 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 Organization Size
  • 7.2.5. By Industry
  • 7.2.6. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Big Data 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
      • 7.3.1.2.4. By Organization Size
      • 7.3.1.2.5. By Industry
  • 7.3.2. France Big Data 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
      • 7.3.2.2.4. By Organization Size
      • 7.3.2.2.5. By Industry
  • 7.3.3. United Kingdom Big Data 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
      • 7.3.3.2.4. By Organization Size
      • 7.3.3.2.5. By Industry
  • 7.3.4. Italy Big Data 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
      • 7.3.4.2.4. By Organization Size
      • 7.3.4.2.5. By Industry
  • 7.3.5. Spain Big Data 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
      • 7.3.5.2.4. By Organization Size
      • 7.3.5.2.5. By Industry

8. Asia Pacific Big Data 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 Organization Size
  • 8.2.5. By Industry
  • 8.2.6. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Big Data 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
      • 8.3.1.2.4. By Organization Size
      • 8.3.1.2.5. By Industry
  • 8.3.2. India Big Data 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
      • 8.3.2.2.4. By Organization Size
      • 8.3.2.2.5. By Industry
  • 8.3.3. Japan Big Data 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
      • 8.3.3.2.4. By Organization Size
      • 8.3.3.2.5. By Industry
  • 8.3.4. South Korea Big Data 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
      • 8.3.4.2.4. By Organization Size
      • 8.3.4.2.5. By Industry
  • 8.3.5. Australia Big Data 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
      • 8.3.5.2.4. By Organization Size
      • 8.3.5.2.5. By Industry

9. Middle East & Africa Big Data 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 Organization Size
  • 9.2.5. By Industry
  • 9.2.6. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Big Data 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
      • 9.3.1.2.4. By Organization Size
      • 9.3.1.2.5. By Industry
  • 9.3.2. UAE Big Data 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
      • 9.3.2.2.4. By Organization Size
      • 9.3.2.2.5. By Industry
  • 9.3.3. South Africa Big Data 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
      • 9.3.3.2.4. By Organization Size
      • 9.3.3.2.5. By Industry

10. South America Big Data 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 Organization Size
  • 10.2.5. By Industry
  • 10.2.6. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Big Data 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
      • 10.3.1.2.4. By Organization Size
      • 10.3.1.2.5. By Industry
  • 10.3.2. Colombia Big Data 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
      • 10.3.2.2.4. By Organization Size
      • 10.3.2.2.5. By Industry
  • 10.3.3. Argentina Big Data 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
      • 10.3.3.2.4. By Organization Size
      • 10.3.3.2.5. By 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 Big Data 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. HID Global 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. HERE Global BV
• 15.3. STMicroelectronics N.V.
• 15.4. Sonitor Technologies AS
• 15.5. Zebra Technologies Corporation
• 15.6. Hewlett Packard Enterprise Development LP
• 15.7. Mist Systems Inc.
• 15.8. Broadcom, Inc.
• 15.9. Cisco Systems, Inc.
• 15.10. Acuity Brands, Inc.

16. Strategic Recommendations

17. About Us & Disclaimer