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市場調查報告書
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1914683

資料科學與預測分析市場－全球產業規模、佔有率、趨勢、機會及預測（按組件、部署類型、企業類型、應用、最終用戶、地區和競爭格局分類，2021-2031年）

Data Science and Predictive Analytics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Deployment, By Enterprise Type, By Application, By End User, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 181 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球資料科學與預測分析市場預計將從2025年的195.4億美元成長到2031年的713.4億美元，複合年成長率（CAGR）為24.09%。該市場涵蓋了利用先進的軟體平台和調查方法從複雜資料集中提取可操作的洞察並預測未來結果的領域。推動市場成長的關鍵因素包括企業資料量的指數級成長以及即時商業商業智慧在最佳化營運效率方面日益成長的重要性。同時，可擴展雲端基礎設施的日益普及也降低了高效能分析工具的使用門檻，進一步推動了這些因素的發展。

市場概覽
預測期 2027-2031
市場規模：2025年 195.4億美元
市場規模：2031年 713.4億美元
複合年成長率：2026-2031年 24.09%
成長最快的細分市場 中小企業
最大的市場 北美洲

然而，該行業面臨一項重大挑戰：開發和管理這些先進系統所需的技能人才嚴重短缺。根據電腦產業協會（CompTIA）預測，到2024年，未來十年對資料科學家和分析師的就業需求預計將成長約35%，這一成長遠超整體勞動市場。這種持續存在的技能缺口限制了預測模型的有效應用，並造成了瓶頸，阻礙了全球市場擴張的潛在速度。

市場促進因素

人工智慧 (AI) 和機器學習技術的深度融合正在從根本上改變分析平台的功能，使其重心從歷史報告轉向前瞻性洞察。現代演算法能夠自動執行複雜的資料處理任務，使企業能夠以前所未有的速度和精度攝取非結構化資料集並產生預測模型。對於希望在其分析工作流程中應用生成模型的企業而言，這種技術整合至關重要。 IBM 於 2024 年 1 月發布的《2023 年全球 AI 採用指數》也印證了這一趨勢，該指數指出，42% 的企業級組織正在積極地在其業務中採用 AI。這推動了對能夠管理這些智慧工作流程的高階資料科學工具的需求。

同時，雲端分析基礎架構的廣泛應用為處理此類精準預測所需的大型資料集奠定了至關重要的基礎。雲端環境提供了運行資源彙整密集型演算法所需的彈性擴展性和運算能力，無需對本地硬體進行巨額資本投入，從而促進了即時協作，並使高效能運算資源的獲取更加普及。根據 Flexera 於 2024 年 3 月發布的《2024 年雲端狀態報告》，51% 的組織表示大量使用公共雲端，而微軟承諾在 2024 年投資 33 億歐元用於擴展其在德國的人工智慧和雲端中心容量，也印證了這一強勁的發展勢頭。

市場挑戰

熟練的專業人才短缺是全球資料科學和預測分析市場成長的一大障礙。儘管企業擁有大量資料和先進的分析平台，但缺乏能夠解讀複雜資料集的合格人員阻礙了這些技術的成功應用。人才短缺導致計劃延期、營運成本增加，以及分析專案投資回報率（ROI）無法充分實現，迫使許多公司縮減數位化舉措規模，並減緩了預測軟體的普及速度。

近期有關勞動力準備的產業數據也印證了這一瓶頸：世界經濟論壇指出，63%的雇主認為技能缺口是2025年企業轉型面臨的主要障礙。這種技術能力的不足阻礙了企業將預測模型有效整合到核心營運中，造成了人力資本供應落後於技術能力的結構性限制，限制了該產業在全球快速擴張的潛力。

市場趨勢

透過 MLOps 和 DataOps 實踐實現模型運行化，正在重塑市場格局，並為預測演算法的生命週期管理建立標準化框架。隨著企業從實驗性試點階段過渡到實際應用，重點正轉向建立穩健的工程流程，以確保模型在生產環境中的可重複性、持續監控和自動重新訓練，從而解決以往成功原型因資料漂移而無法擴展或效能下降的問題。這一趨勢的加速發展在近期的採用指標中顯而易見。根據 Databricks 於 2024 年 6 月發布的《2024 年資料與人工智慧現況報告》，企業運作的機器學習模型數量年增 411%，這標誌著企業正從專案分析轉向整合化的、創造價值的維運工作流程。

同時，在動態商業環境中對即時響應的需求驅動下，市場正轉向即時和串流數據分析。傳統的批次方式按設定的時間間隔分析歷史數據，而事件驅動架構則與之互補，後者能夠即時處理生成的資訊，使預測系統能夠攝取高速數據，從而實現即時決策。技術決策者日益認知到這項能力的戰略重要性。根據 Confluent 於 2024 年 6 月發布的《2024 年資料流報告》，86% 的 IT 領導者將資料流列為 2024 年 IT 投資的首要或關鍵策略重點，這證實了企業正在優先考慮利用「動態資料」來獲得競爭優勢的能力。

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：全球資料科學與預測分析市場展望

  • 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（雲端、本機部署）
    • 按公司規模（大型公司、中小企業）
    • 按應用領域（財務風險分析、行銷/銷售分析、客戶分析、供應鏈分析）
    • 按最終用戶分類（銀行、金融和保險、汽車、IT和通訊、醫療保健、零售、能源和公共產業、政府等）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

6. 北美資料科學與預測分析市場展望

  • 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. 歐洲資料科學與預測分析市場展望

  • 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. 亞太地區資料科學與預測分析市場展望

  • 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. 中東和非洲資料科學與預測分析市場展望

  • 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

10. 南美洲資料科學與預測分析市場展望

  • 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 全球資料科學與預測分析市場：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

  • Accenture plc
  • Vention, Inc.
  • Absolutdata Analytics Pvt. Ltd.
  • Salesforce, Inc.
  • Manthan Software Services Pvt. Ltd.
  • LatentView Analytics Private Limited
  • Oracle Corporation
  • SG Analytics, Inc.
  • Mu Sigma Inc.
  • Fractal Analytics Private Limited

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: 19095

The Global Data Science and Predictive Analytics Market is projected to grow from USD 19.54 Billion in 2025 to USD 71.34 Billion by 2031, registering a CAGR of 24.09%. This market is defined as the sector comprising advanced software platforms and statistical methodologies utilized to extract actionable insights and forecast future outcomes from complex datasets. The primary drivers propelling this market include the exponential growth in enterprise data volume and the critical necessity for real-time business intelligence to optimize operational efficiency, while the increasing accessibility of scalable cloud infrastructure supports these drivers by reducing entry barriers for organizations seeking to leverage high-performance analytical tools.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 19.54 Billion
Market Size 2031USD 71.34 Billion
CAGR 2026-203124.09%
Fastest Growing SegmentSmall and Medium Enterprises (SMEs)
Largest MarketNorth America

However, the industry faces a significant challenge regarding the acute shortage of skilled talent required to develop and manage these sophisticated systems. According to the Computing Technology Industry Association (CompTIA), in 2024, the employment demand for data scientists and analysts was projected to expand by approximately 35 percent over the next decade, a rate significantly outpacing the broader labor market. This persistent skills gap creates a bottleneck that restricts the effective deployment of predictive models and hampers the potential pace of market expansion globally.

Market Driver

The deep integration of Artificial Intelligence and Machine Learning technologies fundamentally transforms the capabilities of analytics platforms, shifting the focus from historical reporting to forward-looking foresight. Modern algorithms now automate complex data processing tasks, allowing organizations to ingest unstructured datasets and generate predictive models with unprecedented speed and accuracy. This technological convergence is critical for enterprises aiming to operationalize generative models within their analytical workflows, a trend supported by IBM's January 2024 'Global AI Adoption Index 2023', which noted that 42 percent of enterprise-scale organizations have actively deployed AI in their business, fueling the requirement for advanced data science tools capable of managing these intelligent workflows.

Concurrently, the rising adoption of cloud-based analytical infrastructures acts as a necessary foundation for processing the massive datasets required for these accurate predictions. Cloud environments offer the elastic scalability and computational power needed to run resource-intensive algorithms without the prohibitive capital expenditure of on-premise hardware, facilitating real-time collaboration and democratizing access to high-performance computing resources. According to Flexera's '2024 State of the Cloud Report' from March 2024, 51 percent of organizations reported heavy usage of public cloud, a robust environment further evidenced by Microsoft's 2024 pledge to invest 3.3 billion EUR in Germany to expand its artificial intelligence and cloud center capacity.

Market Challenge

The scarcity of skilled professionals represents a critical impediment to the growth of the Global Data Science and Predictive Analytics Market. Although organizations possess vast amounts of data and access to advanced analytical platforms, the lack of qualified personnel capable of interpreting complex datasets restricts the successful deployment of these technologies. This talent gap leads to project delays, increased operational costs, and a failure to fully realize the return on investment from analytics initiatives, forcing many enterprises to scale back their digital strategies and slowing the adoption rate of predictive software.

This bottleneck is substantiated by recent industry data regarding workforce readiness. According to the World Economic Forum, in 2025, 63 percent of employers identified skills gaps as the primary barrier to business transformation. This specific deficiency in technical proficiency prevents companies from effectively integrating predictive models into their core operations, resulting in a structural limitation where the availability of human capital lags behind technological capability and restricting the industry's potential for rapid global expansion.

Market Trends

The operationalization of models through MLOps and DataOps practices is reshaping the market by establishing standardized frameworks for the lifecycle management of predictive algorithms. As organizations move beyond experimental pilots, the focus shifts toward robust engineering pipelines that ensure model reproducibility, continuous monitoring, and automated retraining in production, addressing the historic failure rate where successful prototypes failed to scale or degraded due to data drift. The acceleration of this trend is evident in recent deployment metrics; according to Databricks' 'State of Data + AI 2024' report from June 2024, the number of machine learning models put into production by enterprises grew by 411 percent year-over-year, highlighting a decisive move from ad-hoc analysis to integrated, value-generating operational workflows.

Simultaneously, the market is shifting toward real-time and streaming data analytics, driven by the need for immediate responsiveness in dynamic business environments. Traditional batch processing, which analyzes historical data at set intervals, is being supplemented by event-driven architectures that process information as it is generated, allowing predictive systems to ingest high-velocity data for instantaneous decisions. The strategic importance of this capability is increasingly recognized by technology decision-makers; according to Confluent's '2024 Data Streaming Report' from June 2024, 86 percent of IT leaders cited data streaming as a top strategic or important priority for IT investments in 2024, confirming that businesses are prioritizing the ability to harness data in motion for competitive advantage.

Key Market Players

  • Accenture plc
  • Vention, Inc.
  • Absolutdata Analytics Pvt. Ltd.
  • Salesforce, Inc.
  • Manthan Software Services Pvt. Ltd.
  • LatentView Analytics Private Limited
  • Oracle Corporation
  • SG Analytics, Inc.
  • Mu Sigma Inc.
  • Fractal Analytics Private Limited

Report Scope

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

Data Science and Predictive Analytics Market, By Component

  • Solution
  • Service

Data Science and Predictive Analytics Market, By Deployment

  • Cloud
  • On-premise

Data Science and Predictive Analytics Market, By Enterprise Type

  • Large Enterprises
  • Small
  • Medium Enterprises (SMEs)

Data Science and Predictive Analytics Market, By Application

  • Financial Risk Analysis
  • Marketing & Sales Analysis
  • Customer Analysis
  • Supply Chain Analytics

Data Science and Predictive Analytics Market, By End User

  • BFSI
  • Automotive
  • IT & Telecom
  • Healthcare
  • Retail
  • Energy & Utility
  • Government
  • Others

Data Science and Predictive 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 Data Science and Predictive Analytics Market.

Available Customizations:

Global Data Science and Predictive 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 Data Science and Predictive Analytics Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Solution, Service)
    • 5.2.2. By Deployment (Cloud, On-premise)
    • 5.2.3. By Enterprise Type (Large Enterprises, Small, Medium Enterprises (SMEs))
    • 5.2.4. By Application (Financial Risk Analysis, Marketing & Sales Analysis, Customer Analysis, Supply Chain Analytics)
    • 5.2.5. By End User (BFSI, Automotive, IT & Telecom, Healthcare, Retail, Energy & Utility, Government, Others)
    • 5.2.6. By Region
    • 5.2.7. By Company (2025)
  • 5.3. Market Map

6. North America Data Science and Predictive 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
    • 6.2.3. By Enterprise Type
    • 6.2.4. By Application
    • 6.2.5. By End User
    • 6.2.6. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Data Science and Predictive 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
        • 6.3.1.2.3. By Enterprise Type
        • 6.3.1.2.4. By Application
        • 6.3.1.2.5. By End User
    • 6.3.2. Canada Data Science and Predictive 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
        • 6.3.2.2.3. By Enterprise Type
        • 6.3.2.2.4. By Application
        • 6.3.2.2.5. By End User
    • 6.3.3. Mexico Data Science and Predictive 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
        • 6.3.3.2.3. By Enterprise Type
        • 6.3.3.2.4. By Application
        • 6.3.3.2.5. By End User

7. Europe Data Science and Predictive 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
    • 7.2.3. By Enterprise Type
    • 7.2.4. By Application
    • 7.2.5. By End User
    • 7.2.6. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Data Science and Predictive 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
        • 7.3.1.2.3. By Enterprise Type
        • 7.3.1.2.4. By Application
        • 7.3.1.2.5. By End User
    • 7.3.2. France Data Science and Predictive 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
        • 7.3.2.2.3. By Enterprise Type
        • 7.3.2.2.4. By Application
        • 7.3.2.2.5. By End User
    • 7.3.3. United Kingdom Data Science and Predictive 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
        • 7.3.3.2.3. By Enterprise Type
        • 7.3.3.2.4. By Application
        • 7.3.3.2.5. By End User
    • 7.3.4. Italy Data Science and Predictive 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
        • 7.3.4.2.3. By Enterprise Type
        • 7.3.4.2.4. By Application
        • 7.3.4.2.5. By End User
    • 7.3.5. Spain Data Science and Predictive 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
        • 7.3.5.2.3. By Enterprise Type
        • 7.3.5.2.4. By Application
        • 7.3.5.2.5. By End User

8. Asia Pacific Data Science and Predictive 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
    • 8.2.3. By Enterprise Type
    • 8.2.4. By Application
    • 8.2.5. By End User
    • 8.2.6. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Data Science and Predictive 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
        • 8.3.1.2.3. By Enterprise Type
        • 8.3.1.2.4. By Application
        • 8.3.1.2.5. By End User
    • 8.3.2. India Data Science and Predictive 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
        • 8.3.2.2.3. By Enterprise Type
        • 8.3.2.2.4. By Application
        • 8.3.2.2.5. By End User
    • 8.3.3. Japan Data Science and Predictive 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
        • 8.3.3.2.3. By Enterprise Type
        • 8.3.3.2.4. By Application
        • 8.3.3.2.5. By End User
    • 8.3.4. South Korea Data Science and Predictive 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
        • 8.3.4.2.3. By Enterprise Type
        • 8.3.4.2.4. By Application
        • 8.3.4.2.5. By End User
    • 8.3.5. Australia Data Science and Predictive 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
        • 8.3.5.2.3. By Enterprise Type
        • 8.3.5.2.4. By Application
        • 8.3.5.2.5. By End User

9. Middle East & Africa Data Science and Predictive 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
    • 9.2.3. By Enterprise Type
    • 9.2.4. By Application
    • 9.2.5. By End User
    • 9.2.6. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Data Science and Predictive 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
        • 9.3.1.2.3. By Enterprise Type
        • 9.3.1.2.4. By Application
        • 9.3.1.2.5. By End User
    • 9.3.2. UAE Data Science and Predictive 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
        • 9.3.2.2.3. By Enterprise Type
        • 9.3.2.2.4. By Application
        • 9.3.2.2.5. By End User
    • 9.3.3. South Africa Data Science and Predictive 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
        • 9.3.3.2.3. By Enterprise Type
        • 9.3.3.2.4. By Application
        • 9.3.3.2.5. By End User

10. South America Data Science and Predictive 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
    • 10.2.3. By Enterprise Type
    • 10.2.4. By Application
    • 10.2.5. By End User
    • 10.2.6. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Data Science and Predictive 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
        • 10.3.1.2.3. By Enterprise Type
        • 10.3.1.2.4. By Application
        • 10.3.1.2.5. By End User
    • 10.3.2. Colombia Data Science and Predictive 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
        • 10.3.2.2.3. By Enterprise Type
        • 10.3.2.2.4. By Application
        • 10.3.2.2.5. By End User
    • 10.3.3. Argentina Data Science and Predictive 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
        • 10.3.3.2.3. By Enterprise Type
        • 10.3.3.2.4. By Application
        • 10.3.3.2.5. By End User

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 Data Science and Predictive 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. Accenture plc
    • 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. Vention, Inc.
  • 15.3. Absolutdata Analytics Pvt. Ltd.
  • 15.4. Salesforce, Inc.
  • 15.5. Manthan Software Services Pvt. Ltd.
  • 15.6. LatentView Analytics Private Limited
  • 15.7. Oracle Corporation
  • 15.8. SG Analytics, Inc.
  • 15.9. Mu Sigma Inc.
  • 15.10. Fractal Analytics Private Limited

16. Strategic Recommendations

17. About Us & Disclaimer