Data Analytics Outsourcing Market - Growth, Trends, and Forecast (2020 - 2025)

出版商 Mordor Intelligence LLP 商品編碼 635806
出版日期 內容資訊 英文 101 Pages
商品交期: 2-3個工作天內
資料分析外包的全球市場:成長,趨勢,及預測(2019年-2024年) Data Analytics Outsourcing Market - Growth, Trends, and Forecast (2020 - 2025)
出版日期: 2020年01月01日內容資訊: 英文 101 Pages




第1章 簡介

  • 調查的成果
  • 調查的假設
  • 調查範圍

第2章 調查方法

第3章 摘要整理

第4章 市場動態

  • 市場概況
  • 市場成長及阻礙因素概要
  • 市場成長要素
  • 市場阻礙因素
  • 價值鏈分析
  • 產業的魅力:波特的五力分析
    • 新加入廠商的威脅
    • 買主/消費者談判力
    • 供應商談判力
    • 替代產品的威脅
    • 產業內的競爭

第5章 市場區隔

  • 各類型
    • 商務分析
    • CRM分析
    • 供應鏈分析
    • 風險分析
    • 定位分析
    • 財務分析
    • 網站分析
  • 各終端用戶產業
    • 零售
    • 農業
    • 汽車
    • 航空
    • 製造業
    • BFSI
    • 健康管理
    • IT及電訊
  • 各地區
    • 北美
    • 歐洲
    • 亞太地區
    • 南美
    • 中東及非洲地區

第6章 競爭情形

  • 企業簡介
    • Accenture PLC
    • Capgemini SE
    • Cognizant Technology Solutions Corp.
    • Genpact Ltd
    • Gramener
    • IBM Corporation
    • Infosys Ltd
    • Mu Sigma Inc.
    • Opera Solutions, LLC
    • Tata Consultancy Services Ltd
    • Wipro Ltd
    • WNS Global Services Private Limited
    • ZS Associates, Inc.

第7章 投資分析

第8章 市場機會及未來趨勢


Product Code: 58983

Market Overview

The data analytics outsourcing market was valued at USD 3.04 billion in 2019, and it is expected to reach USD 9.46 billion by 2025 at a CAGR of 21.5% during the forecast period (2020 - 2025). Organizations find it time-consuming to manage the huge volume of data generated in a systematic manner. Thus, the demand for data analytics outsourcing vendors is increasing so that companies can take quick decisions.

  • Increasing volume and variety of data being generated is the major driving factor for this industry. IBM estimates that 90% of the data in the world today has been created in the last two years. The data contains trends and insights which can be observed with the help of qualitative and quantitative methods provided by data analytics companies. The ability to make data-driven decisions is crucial to any business.
  • However, the lack of skilled workforce is the factor hindering the market growth. In a report titled 'The Future of Jobs 2018', the World Economic Forum (WEF) said around 54 percent of the global workforce had to be re-skilled or up-skilled to work in disruptive and digital technologies spawning the virtual world.

Scope of the Report

Data generated by companies is related to business, CRM, supply chain, finance and their website. Industries like aviation, agriculture, automotive, manufacturing, retail, telecom, healthcare and telecom are increasingly partnering with data analytics companies to manage their data while saving time and money. The reatilers are also experiencing increasing conversion rates through predictive analytics and targeted promotions provided with the help of dedicated data professionals.

Key Market Trends

Retail Industry to Dominate the Market

  • Online retail is responsible for generating maximum volume of data. According to the most recent Shopping Index of Salesforce, e-commerce grew 17% in the third quarter in 2018, globally.
  • Moreover, in the US, the Census Bureau reported that online commerce represented 9.6% of total retail and around 87% of the US shoppers began their hunt in digital channels, up from 71% the prior year.
  • Personalizing the shopping experience means customers' purchase history to be analyzed so that the retailer can provide recommendations. Due to the increasing number of shoppers, the data analytics companies are introducing new tools to ease the retailer's pain of handling large number of customers.
  • Kroger and Microsoft announced a collaboration in January 2019 to redefine the customer experience using Kroger Technology products powered by Microsoft Azure, the retailer's preferred cloud platform for Retail as a Service (RaaS).

Asia-Pacific to Significantly Drive the Market Growth

  • Due to population growth and a rise in e-commerce, Asia-Pacific is experiencing a surge in data generated from digital products and services.
  • An emerging economy like India, which is facing increasing participation from foreign and private players, is predicted to generate revenue worth USD 60 billion in retail by 2020, according to IBEF. This increased revenue and demand for retail sales will generate more data requiring efficient managed services.
  • New sources of data from log files, transaction information, sensor data social media metrics, present new opportunities for retail organizations to achieve competitive advantage in this region.

Competitive Landscape

The market is fragmented with a variety of vendors proving business process solutions for big and SMEs. As the amount of big data generated by enterprises increases, more vendors are being contacted for management of enterprise data and providing data intelligence services.

  • May 2019 - Infosys partnered with ABN AMRO in the Netherlands by acquiring 75% of the shareholding in their wholly owned end-to-end mortgage administration service provider Stater N. V. The specialized knowledge and experience of Stater in the mortgage services market, combined with the global reach, AI, digital transformation and automation capabilities of Infosys, can potentially create differentiated solutions for the market.
  • March 2019 - IBM bagged USD 700-800 million outsourcing contract with Voda-Idea. This was done to leverage IBM's expertise in hybrid cloud, data analytics and AI capabilities and help deliver better customer experience.
  • January 2019 - Accenture partnered with Siemens in a 5-year deal to run and maintain several of the firm's data analytics and business intelligence services. One of the transitions being worked on is the upgrading of its data science operation.

Reasons to Purchase this report:

  • The market estimate (ME) sheet in Excel format
  • Report customization as per the client's requirements
  • 3 months of analyst support

Table of Contents


  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study




  • 4.1 Market Overview
  • 4.2 Introduction to Market Drivers and Restraints
  • 4.3 Market Drivers
    • 4.3.1 Increasing Volume and Variety of Data being Generated is the Major Driving Factor for this Industry
  • 4.4 Market Restraints
    • 4.4.1 Lack of Skilled Professionals
  • 4.5 Value Chain Analysis
  • 4.6 Industry Attractiveness - Porter's Five Force Analysis
    • 4.6.1 Threat of New Entrants
    • 4.6.2 Bargaining Power of Buyers/Consumers
    • 4.6.3 Bargaining Power of Suppliers
    • 4.6.4 Threat of Substitute Products
    • 4.6.5 Intensity of Competitive Rivalry


  • 5.1 By Type
    • 5.1.1 CRM Analytics
    • 5.1.2 Supply Chain Analytics
    • 5.1.3 Risk Analytics
    • 5.1.4 Financial Analytics
    • 5.1.5 Other Types
  • 5.2 By End-user Industry
    • 5.2.1 Retail
    • 5.2.2 Automotive
    • 5.2.3 Manufacturing
    • 5.2.4 BFSI
    • 5.2.5 IT and Telecom
    • 5.2.6 Other End-user Industry
  • 5.3 Geography
    • 5.3.1 North America
    • 5.3.2 Europe
    • 5.3.3 Asia-Pacific
    • 5.3.4 Latin America
    • 5.3.5 Middle East & Africa


  • 6.1 Company Profiles
    • 6.1.1 Accenture PLC
    • 6.1.2 Capgemini SE
    • 6.1.3 Cognizant Technology Solutions Corp.
    • 6.1.4 Genpact Ltd
    • 6.1.5 Gramener
    • 6.1.6 IBM Corporation
    • 6.1.7 Infosys Ltd
    • 6.1.8 Mu Sigma Inc.
    • 6.1.9 Opera Solutions, LLC
    • 6.1.10 Tata Consultancy Services Ltd
    • 6.1.11 Wipro Ltd
    • 6.1.12 WNS Global Services Private Limited
    • 6.1.13 ZS Associates, Inc.