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市场调查报告书
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1636593

资料分析外包－市场占有率分析、产业趋势/统计、成长预测（2025-2030）

Data Analytics Outsourcing - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

资料分析外包市场规模预计到 2025 年为 108.9 亿美元，预计到 2030 年将达到 476.5 亿美元，预测期内（2025-2030 年）复合年增长率为 34.33%。

数据分析外包-市场-IMG1

人工智慧（AI）/机器学习技术已经在资料分析的许多方面取代了人类，从而减少了人工输入。因此，资料分析外包的本质不在于公司如何管理离岸团队，而更多在于人类如何有效率地创建和训练机器学习模型。

主要亮点

  • 据 IBM 称，全球 90% 以上的资料是在过去两年中创建的。儘管存在人才缺口，但分析解决方案正在不断增长，因为它们在 BFSI 和零售等各个领域获得认可。例如，有人指出，快速消费品公司由于缺乏诊断分析、找出表现严重不佳的能力或创建准确销售预测的能力而遭受销售业绩不一致的困扰。
  • 该製造商需要资金和时间来扩大内部资料分析以获得快速洞察，并在 COVID-19 爆发之前转向分析外包，许多组织都在使用其资料操作。种做法。根据 DataScience Blog 报导，在最近的一项调查中，37% 的企业领导者表示，他们已经准备好削减 IT 部门预算。同一项研究还发现，28% 的公司希望将部分资料分析项目转移到海外。
  • 随着大规模资料创建，公司正在寻求对消费者细分的洞察，了解每个类别的偏好，响应行为变化和客製化。互联网使用量的增加使企业能够存取资料。由于这些好处，跨国公司现在将巨量资料视为实用知识。
  • 它还补充了收集巨量资料的能力，并提供了固有的云端特性，例如可扩展性、敏捷性、经济高效的储存选项以及对巨大处理能力的访问，使得向云端的迁移也被采用。此外，云端运算技术现已广泛应用，云端的无缝连接正在促进巨量资料的发展。因此，云端技术的发展正在加速所研究产业的发展。

资料分析外包市场趋势

BFSI 越来越多采用资料分析外包，推动市场发展

  • 在银行业，资料分析可用于多种用途，从加强网路安全到减少客户流失。银行也可以存取、处理和评估来自外部来源的资料，例如交易数据、监管数据和社交媒体参与数据，以供业务使用。例如，加州圣罗莎的红木信用社发现社交资料对于提供汽车贷款至关重要。红木信用社先前每两年在预先核准会员的汽车贷款时会考虑会员的信用评分和汽车购买历史。但他们很快就了解到有更可靠的指标，并改变了预先核准频率。
  • 巨量资料对银行的客户服务和间接业务有重大影响。巨量资料对于执行风险管理业务至关重要，例如确定交易是否可能有诈欺或构成信用风险。对于每笔交易，资料分析系统可以查看数千个变量，包括申请人的信用记录、过去的贷款使用情况、过去的信用卡使用情况以及信用记录的特定方面。这使得银行员工能够交易对象的风险状况做出明智的预测。美国银行企业投资集团 (CIG) 使用资料分析来计算约 950 万笔房屋抵押贷款的违约机率，将计算时间从 96 小时减少到 4 小时。
  • 金融行为监理局和英格兰银行去年宣布尝试改变资料收集方式。该论文提案未来 10 年在资料收集方面取得重大进展，以减轻企业的负担，同时向当局提供更好的资料。银行和 FCA 发布的关于资料收集变化的愿景声明最好地说明了这一目标。
  • 此外，在 ABA 社区银行家会议期间，Botetourt 银行、Appomattox 农民银行和 Select Bank & Trust 宣布采用 KlariVis，这是一个由银行家为银行家建立的专有资料分析软体平台。 KlariVis 为当地金融机构发现并提供突破性资料，从而实现更具策略性和知识性的决策。由于 KlariVis 会自动汇总和编译可操作的资料，Select Bank & Trust 等银行可以立即更了解存款、贷款和收益成长等变数。社区银行可以利用资料做出整体决策，这使它们在当今市场上比竞争对手具有显着优势。

亚太地区预计成长最快

  • 巨量资料分析正迅速被用来预测未来的活动、趋势和顾客行为。巨量资料分析可以识别现有的见解，在资料点和资料集之间建立连接，并清理资料。该地区领先的 IT 和分析公司正在建立 ML 实践并建立行业特定的 AI 解决方案，以支援 AI/ML 和分析模型。
  • 需要更多地使用分析，因为来自增加的社会渗透的资料包含使用传统分析技术无法发现的隐藏模式。根据We Are Social的报告，去年中国和美国的活跃社群网路普及率分别为64.6%和72.3%，显示正在产生大量需要分析的资料。我们鼓励全国各地的企业选择外包资料分析。
  • TCS 透过分析服务创造了 20 亿美元的收入，使印度成为分析市场的最大收益来源。以 TCS、Genpact 和 Wipro 为首的 India Inc. 等公司也在这一领域进行了大量投资，扩大了可用服务的范围。此外，印度约 47% 的分析收益来自对美国的出口，而排名第二的英国则贡献了其 270 亿美元外包总收益的 9.6%。
  • 中国已广泛采用广泛的资料分析和高科技来支持政府决策，包括目前对抗新冠肺炎 (COVID-19) 的斗争。先进的资料分析基于资料平台创建了人流路径图，以确定这些人与谁有过密切接触，特别是对于往返于湖北省和我去过的其他流行地区的人。这些地图追踪了过去 14 天内冠状病毒检测呈阳性的人的活动情况。这张地图追踪了过去 14 天内冠状病毒检测呈阳性的人的活动情况。这项发现使地方政府和社区能够采取防御措施。

资料分析外包产业概况

资料分析外包市场分散，各种供应商为大型和小型企业提供业务流程解决方案。随着公司产生越来越多的巨量资料，越来越多的供应商提供企业资料管理和资料智慧服务。市场上的技术进步也为企业提供了可持续的竞争优势，市场上也出现了一些联盟和合併。

  • 2023 年 6 月 - Genpact 是一家专注于提供业务转型成果的全球专业服务公司，宣布与Google Cloud 合作，利用生成式AI 来推动可操作的业务洞察等，以帮助企业加速实施人工智慧(AI) 战略。

其他好处

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场动态

  • 市场概况
  • COVID-19 对市场的影响
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 消费者议价能力
    • 新进入者的威胁
    • 竞争公司之间敌对关係的强度
    • 替代品的威胁
  • 产业价值链分析
  • 市场驱动因素
    • 产生的资料数量和种类不断增加
    • BFSI 越来越多地采用资料分析外包
  • 市场问题
    • 缺乏熟练的专业人员

第五章市场区隔

  • 类型
    • 客户关係管理分析
    • 供应链分析
    • 风险分析
    • 财务分析
    • 其他的
  • 最终用户产业
    • 零售
    • 车
    • 製造业
    • BFSI
    • 资讯科技/通讯
    • 石油和天然气
    • 其他的
  • 地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 南美洲
    • 中东/非洲

第六章 竞争状况

  • 公司简介
    • 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.
  • 供应商排名分析

第七章投资分析及未来展望

简介目录
Product Code: 58983

The Data Analytics Outsourcing Market size is estimated at USD 10.89 billion in 2025, and is expected to reach USD 47.65 billion by 2030, at a CAGR of 34.33% during the forecast period (2025-2030).

Data Analytics Outsourcing - Market - IMG1

Artificial Intelligence (AI)/Machine Learning technology has replaced humans in many aspects of data analytics, thus, requiring less input from human manual work. Therefore, the nature of data analytics outsourcing skews toward how humans can effectively create and train a machine learning model rather than how businesses could manage an offshore team.

Key Highlights

  • According to IBM, the last two years have created over 90% of the world's data. And while there is a talent gap, analytics solutions are expanding because they are being accepted by a variety of sectors, including BFSI and retail, to mention a few. For instance, it has been noted that FMCG firms struggle with inconsistent sales performance due to a lack of diagnostic analytics, the ability to pinpoint what terrible bad performance is, or the capacity to produce precise sales forecasts.
  • The manufacturer needed money and time to expand internal data analytics to gain quick insight, they turned to analytics outsourcing before the COVID-19 outbreak, and many organizations were outsourcing their data operations; the crisis accelerated this practice even further-additionally, businesses investing a significant portion of their IT budgets in cybersecurity initiatives. DataScience blog reports that a recent survey revealed that 37% of corporate leaders claimed they were already preparing to reduce the budgets for their IT departments. The same study discovered that 28% of companies want to relocate some of their data analytics programs overseas.
  • Large-scale data production has prompted businesses to look for insights, including consumer segmentation, understanding of preferences within each category, staying up to speed with changes in behavior, and customization. Due to increased internet usage, organizations have access to a vast amount of structured and unstructured data. Due to these advantages, multinational corporations now have their big data evaluated for practical knowledge.
  • Adoption also included cloud migration because these capabilities complement the ability to gather Big Data and are intrinsic to cloud features like scalability, agility, cost-effective storage options, and access to massive processing power. In addition, cloud computing technology is now widely used, and the cloud's seamless connectivity makes it available and encourages the development of Big Data Byce to the annual State of the Cloud Report from Right Scale, 78% of firms use hybrid cloud, compared to 19% who use public cloud. Consequently, the development of cloud technology is accelerating the development of the industry under investigation.

Data Analytics Outsourcing Market Trends

Increasing Adoption of Data Analytics Outsourcing in BFSI is Driving the Market

  • In the banking sector, data analytics may be used for various things, from enhancing cybersecurity to lowering customer attrition. Even more data from external sources, such as trade, regulatory, and social media involvement, can be accessed by banks and used for their operations after being processed and evaluated. For instance, Redwood Credit Union in Santa Rosa, California, discovered that social data was crucial for providing auto loans. It previously considered a member's credit score and history of auto purchases when extending preapproval for such loans every two years. It soon learned that there was a far more trustworthy indicator and changed how frequently preapprovals were granted.
  • Big Data has a tremendous impact on banks' customer-facing and back-of-house activities. It is essential for performing risk management tasks, which include determining the probability that a given transaction will be fraudulent or pose a credit risk. For each transaction, data analytics systems can examine thousands of variables, such as applicants' credit histories, prior loan activity, past credit card activity, or specific things in their credit histories. This enables bank employees to make informed forecasts about interactions' risk aspects. The default likelihood of roughly 9.5 million mortgages was calculated by Bank of America's Corporate Investment Group (CIG) using a data analytics method, cutting the computation time from 96 to 4 hours.
  • The Financial Conduct Authority and the Bank of England updated the public on their attempts to alter data collection last year. The paper suggests significant data collection advancements over the following ten years to give authorities better data while lessening the strain on businesses. The vision statement for modifying data collection from the Bank and FCA best captures this goal: "that they get the data they need to perform their mission, at the lowest possible cost to the business.
  • Additionally, during the ABA Conference for Community Bankers, the Bank of Botetourt, Farmers Bank of Appomattox, and Select Bank & Trust announced their selection of KlariVis, a unique and exclusive data analytics software platform created by bankers for bankers. By locating and making accessible community financial institutions' revolutionary data, KlariVis enables them to make more strategic and knowledgeable decisions. Banks like Select Bank & Trust benefit from better and immediate insight into variables like deposit, loan, and revenue growth because of KlariVis' automatic compilation and aggregation of actionable data. Community banks may use data to drive decisions across the board, giving them a significant edge over rivals in the current market.

Asia-Pacific Region is Expected to Witness Fastest Growth

  • Big Data analytics is being rapidly adopted to predict future activity, trends, and customer behaviors. Big Data analytics identifies existing insights, creates connections between data points and sets, and cleans the data. Major IT companies and analytics organizations in the area are establishing ML practices and creating vertically-specific AI solutions, which AI/ML and analytical models reinforce.
  • Growing usage of analytics is necessary since the data from rising social penetration contains hidden patterns that can't be found using conventional analytics techniques. We Are Social reports that the active social network penetration in China and the US last year was 64.6% and 72.3%, respectively, demonstrating a significant volume of data generation necessitating analytics. Businesses nationwide are encouraged by this to choose data analytics outsourcing.
  • With TCS producing USD 2 billion from analytics services, India has been the analytics market's top revenue producer. Companies like India Inc., led by TCS, Genpact, and Wipro, also invest extensively in this field, broadening the services available. Additionally, about 47% of India's analytics revenues come from exports to the US, whereas the UK, which is in second place, generates 9.6% of its overall USD 27 billion in outsourcing revenue.
  • Extensive data analysis and high-tech were extensively employed in China to assist governmental policy decisions, including the ongoing battle against COVID-19. Advanced data analytics generated a path map for people flow based on the data platform, specifically for individuals who entered and exited Hubei Province or other outbreak areas to determine who these individuals had been in close contact with; these maps followed the movement of those who had tested positive for the coronavirus in the previous 14 days. The local government and community could implement defensive measures because of these findings.

Data Analytics Outsourcing Industry Overview

The Data Analytics Outsourcing Market is fragmented, with various vendors providing business process solutions for big companies and SMEs. As the amount of big data enterprises generate increases, more vendors are contacted to manage enterprise data and provide data intelligence services. Technological advancements in the market are also bringing sustainable competitive advantages to companies, and the market is also witnessing multiple partnerships and mergers.

  • June 2023 - Genpact, a global professional services firm focused on delivering outcomes that transform businesses, announced it is working with Google Cloud to help businesses accelerate artificial intelligence (AI) strategies, including taking advantage of generative AI's adoption to drive actionable business insights.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Impact of COVID-19 on the market
  • 4.3 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.3.1 Bargaining Power of Suppliers
    • 4.3.2 Bargaining Power of Consumers
    • 4.3.3 Threat of New Entrants
    • 4.3.4 Intensity of Competitive Rivalry
    • 4.3.5 Threat of Substitute Products
  • 4.4 Industry Value Chain Analysis
  • 4.5 Market Drivers
    • 4.5.1 Increasing Volume and Variety of Data being Generated are the Major Driving Factors for this Industry
    • 4.5.2 Increasing Adoption of Data Analytics Outsourcing in BFSI
  • 4.6 Market Challenges
    • 4.6.1 Lack of Skilled Professionals

5 MARKET SEGMENTATION

  • 5.1 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 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 Oil & Gas
    • 5.2.7 Other End-user Industries
  • 5.3 Geography
    • 5.3.1 North America
    • 5.3.2 Europe
    • 5.3.3 Asia Pacific
    • 5.3.4 South America
    • 5.3.5 Middle East and Africa

6 COMPETITIVE LANDSCAPE

  • 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.
  • 6.2 Vendor Ranking Analysis

7 INVESTMENT ANALYSIS AND FUTURE OUTLOOK