查看購物車
  • English
封面
市場調查報告書
商品編碼
1914617

巨量資料分析市場－全球產業規模、佔有率、趨勢、機會和預測：按組件、部署模式、應用、組織規模、垂直產業、地區、競爭格局和機會分類，2021-2031年

Big Data Analytics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Deployment Mode, By Application, By Organization Size, By Industry, By Region & Competition, & Opportunities, 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

價格

We offer 8 hour analyst time for an additional research. Please contact us for the details.

簡介目錄

全球巨量資料分析市場預計將從2025年的3,367.8億美元顯著成長至2031年的7,781.8億美元，複合年成長率（CAGR）為14.98%。該行業分析海量且多樣化的資料集，以挖掘隱藏的模式、市場趨勢和消費者偏好，從而支持明智的決策流程。該行業的成長主要受數位管道產生的數據呈指數級成長以及企業迫切需要從中提取可執行的洞察以獲得競爭優勢的驅動。此外，提高營運效率的需求以及對數據驅動型洞察在預測客戶行為和最佳化商務策略日益成長的依賴，也進一步強化了這項需求。

市場概覽
預測期 2027-2031
市場規模：2025年 3367.8億美元
市場規模：2031年 7781.8億美元
複合年成長率：2026-2031年 14.98%
成長最快的細分市場 風險和詐欺分析
最大的市場 北美洲

儘管潛力巨大，但該行業仍面臨著與資料管理複雜性和基礎設施挑戰相關的重大障礙。企業經常難以有效地匯總和確保分析所需原始資訊的品質。根據 CompTIA 2024 年的一項調查，36% 的公司表示，收集和準備進階輸入所需的資料集仍然是一項重大挑戰。這項數據表明，企業在建立強大的數據基礎方面仍然面臨持續的挑戰，而這對於成功部署分析解決方案至關重要。

市場促進因素

人工智慧 (AI) 和機器學習 (ML) 的整合正在革新全球巨量資料分析市場，實現更高階的預測洞察並自動化複雜的資料操作。企業正逐步將這些技術融入工作流程，從說明分析轉向預測性分析，並更有效地從大型資料集中提取價值。這種轉變需要對資料準備和管理通訊協定進行重大調整，以支援演算法處理。根據 dbt Labs 於 2024 年 10 月發布的《分析工程現況》報告，57% 的受訪專業人士目前擁有或計劃專門用於 AI 訓練的資料管理，這凸顯了向 AI 賦能架構轉型的重要性，對於希望利用智慧自動化改進決策的企業而言，這無疑是一項關鍵的競爭優勢。

同時，雲端和混合分析解決方案的快速普及正在推動市場成長。企業正在尋求可擴展的基礎設施來應對不斷成長的資訊負載，而擺脫僵化的本地部署系統，使他們能夠利用現代分析所需的靈活儲存和運算能力。混合框架還能在可擴展性和資料主權之間取得平衡。根據 Cloudera 於 2024 年 8 月發布的《企業人工智慧和現代資料架構現狀》報告，90% 的 IT 領導者認為，在單一平台上統一資料生命週期對於有效執行分析和人工智慧至關重要。這種結構性轉變主要源自於資訊生成規模的急遽成長。 Sigma Computing 指出，87% 的企業在 2024 年將經歷數據同比成長，這凸顯了市場對強大且支持雲端的管理平台的迫切需求。

市場挑戰

資料管理的複雜性和基礎設施的匱乏是限制全球巨量資料分析市場擴張的關鍵阻礙因素。儘管市場對可執行洞察的需求旺盛，但由於許多公司尚未建立高階分析所需的底層架構，該市場面臨嚴峻的挑戰。當企業面臨資料孤島和缺乏互通性的舊有系統時，分析工具的採用效率低甚至完全停滯。這種營運摩擦阻礙了企業快速獲得投資回報，延長了計劃週期，並抑制了企業為進一步發展分析業務而撥出的預算。

這種結構成熟度的不足直接影響了市場發展勢頭，迫使企業暫停實施，轉而解決潛在的品質問題。 ISACA預測，到2024年，全球37%的技術專業人士將把流程和管治實踐不完善視為實現其組織數位化信任和資料目標的主要障礙。這種準備不足導致相當一部分潛在市場仍停留在準備階段，而無法進入高價值分析解決方案的積極採購階段。

市場趨勢

邊緣運算和分析的興起正在從根本上改變資料處理策略，它將運算任務轉移到更靠近資訊產生點的位置，從而擺脫了集中式雲端框架的束縛。這種去中心化的轉變降低了延遲和頻寬消耗，有助於那些高度依賴物聯網設備的產業進行即時決策。隨著各行業越來越重視永續性和效率，邊緣解決方案也擴大針對特定垂直應用進行客製化，而非通用處理。根據Eclipse基金會於2024年12月發布的《2024年物聯網與嵌入式開發者調查》，29%的開發者表示他們正在開發專門用於能源管理的邊緣解決方案，高於前一年的24%。這證實了該技術在關鍵工業領域的快速發展。

數據可觀測性和品質解決方案的出現，是應對日益複雜的自動化數據管道所帶來的可靠性挑戰的必然趨勢。與專注於基礎設施健康狀況的傳統監控不同，可觀測性能夠深入洞察數據本身，使團隊能夠在異常和模式變更影響下游應用之前將其檢測出來。生成模型的普及推動了這一轉變，因為在生成模型中，輸入資料的準確性至關重要，但往往難以保證。根據 Monte Carlo Data 於 2024 年 6 月發布的《2024 年可信人工智慧現狀研究報告》，67% 的數據專業人員承認他們目前並不完全信任為其生成式人工智慧應用程式提供支援的數據，這凸顯了市場對高階可靠性平台的迫切需求。

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 全球巨量資料分析市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按組件（解決方案、服務）
    • 依部署類型（本機部署、雲端部署、混合式部署）
    • 按應用領域（風險與詐欺分析、企業資料倉儲最佳化、物聯網、客戶分析、商業分析、安全智慧、其他）
    • 依組織規模（大型公司、中小企業）
    • 按行業分類（銀行、金融、保險、醫療保健、政府、IT、通訊、製造、零售、其他）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美巨量資料分析市場展望

  • 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

第7章：歐洲巨量資料分析市場展望

  • 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

第8章 亞太巨量資料分析市場展望

  • 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

第9章：中東和非洲巨量資料分析市場展望

  • 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：南美巨量資料分析市場展望

  • 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 全球巨量資料分析市場：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

  • 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: 5035

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.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 336.78 Billion
Market Size 2031USD 778.18 Billion
CAGR 2026-203114.98%
Fastest Growing SegmentRisk & Fraud Analytics
Largest MarketNorth America

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