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市場調查報告書
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1636593

資料分析外包－市場佔有率分析、產業趨勢/統計、成長預測（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個工作天內

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簡介目錄

資料分析外包市場規模預計到 2025 年為 108.9 億美元，預計到 2030 年將達到 476.5 億美元，預測期內（2025-2030 年）複合年成長率為 34.33%。

數據分析外包-市場-IMG1

人工智慧（AI）/機器學習技術已經在資料分析的許多方面取代了人類，從而減少了人工輸入。因此，資料分析外包的本質不在於公司如何管理離岸團隊，而更多在於人類如何有效率地創建和訓練機器學習模型。

主要亮點

  • 據 IBM 稱，全球 90% 以上的資料是在過去兩年中創建的。儘管存在人才缺口，但分析解決方案正在不斷成長，因為它們在 BFSI 和零售等各個領域獲得認可。例如，有人指出，快速消費品公司由於缺乏診斷分析、找出表現嚴重不佳的能力或創建準確銷售預測的能力而遭受銷售業績不一致的困擾。
  • 該製造商需要資金和時間來擴大內部資料分析以獲得快速洞察，並在 COVID-19 爆發之前轉向分析外包，許多組織都在使用其資料操作。種做法。根據 DataScience Blog 報導，在最近的一項調查中，37% 的企業領導者表示，他們已經準備好削減 IT 部門預算。同一項研究還發現，28% 的公司希望將部分資料分析項目轉移到海外。
  • 隨著大規模資料創建，公司正在尋求對消費者細分的洞察，了解每個類別的偏好，響應行為變化和客製化。網際網路使用量的增加使企業能夠存取資料。由於這些好處，跨國公司現在將巨量資料視為實用知識。
  • 它還補充了收集巨量資料的能力，並提供了固有的雲端特性，例如可擴展性、敏捷性、經濟高效的儲存選項以及對巨大處理能力的訪問，使得向雲端的遷移也被採用。此外，雲端運算技術現已廣泛應用，雲端的無縫連接正在促進巨量資料的發展。因此，雲端技術的發展正在加速所研究產業的發展。

資料分析外包市場趨勢

BFSI 越來越多採用資料分析外包，推動市場發展

  • 在銀行業，資料分析可用於多種用途，從加強網路安全到減少客戶流失。銀行也可以存取、處理和評估來自外部來源的資料，例如交易數據、監管數據和社交媒體參與數據，以供業務使用。例如，加州聖羅莎的紅木信用社發現社交資料對於提供汽車貸款至關重要。紅木信用社先前每兩年在預先核准會員的汽車貸款時會考慮會員的信用評分和汽車購買歷史。但他們很快就了解到有更可靠的指標，並改變了預先核准頻率。
  • 巨量資料對銀行的客戶服務和間接業務有重大影響。巨量資料對於執行風險管理業務至關重要，例如確定交易是否可能有詐欺或構成信用風險。對於每筆交易，資料分析系統可以查看數千個變量，包括申請人的信用記錄、過去的貸款使用情況、過去的信用卡使用情況以及信用記錄的特定方面。這使得銀行員工能夠交易對象的風險狀況做出明智的預測。美國銀行企業投資集團 (CIG) 使用資料分析來計算約 950 萬筆房屋抵押貸款的違約機率，將計算時間從 96 小時減少到 4 小時。
  • 金融行為監理局和英格蘭銀行去年宣布嘗試改變資料收集方式。該論文提案未來 10 年在資料收集方面取得重大進展，以減輕企業的負擔，同時向當局提供更好的資料。銀行和 FCA 發布的關於資料收集變化的願景聲明最好地說明了這一目標。
  • 此外，在 ABA 社區銀行家會議期間，Botetourt 銀行、Appomattox 農民銀行和 Select Bank & Trust 宣布採用 KlariVis，這是一個由銀行家為銀行家建立的專有資料分析軟體平台。 KlariVis 為當地金融機構發現並提供突破性資料，從而實現更具策略性和知識性的決策。由於 KlariVis 會自動匯總和編譯可操作的資料，Select Bank & Trust 等銀行可以立即更了解存款、貸款和收益成長等變數。社區銀行可以利用資料做出整體決策，這使它們在當今市場上比競爭對手具有顯著優勢。

亞太地區預計成長最快

  • 巨量資料分析正迅速被用來預測未來的活動、趨勢和顧客行為。巨量資料分析可以識別現有的見解，在資料點和資料集之間建立連接，並清理資料。該地區領先的 IT 和分析公司正在建立 ML 實踐並建立行業特定的 AI 解決方案，以支援 AI/ML 和分析模型。
  • 需要更多地使用分析，因為來自增加的社會滲透的資料包含使用傳統分析技術無法發現的隱藏模式。根據We Are Social的報告，去年中國和美國的活躍社群網路普及率分別為64.6%和72.3%，顯示正在產生大量需要分析的資料。我們鼓勵全國各地的企業選擇外包資料分析。
  • TCS 透過分析服務創造了 20 億美元的收入，使印度成為分析市場的最大收益來源。以 TCS、Genpact 和 Wipro 為首的 India Inc. 等公司也在這一領域進行了大量投資，擴大了可用服務的範圍。此外，印度約 47% 的分析收益來自對美國的出口，而排名第二的英國則貢獻了其 270 億美元外包總收益的 9.6%。
  • 中國已廣泛採用廣泛的資料分析和高科技來支持政府決策，包括目前對抗新冠肺炎 (COVID-19) 的鬥爭。先進的資料分析基於資料平台創建了人流路徑圖，以確定這些人與誰有過密切接觸，特別是對於往返於湖北省和我去過的其他流行地區的人。這些地圖追蹤了過去 14 天內冠狀病毒檢測呈陽性的人的活動情況。這張地圖追蹤了過去 14 天內冠狀病毒檢測呈陽性的人的活動情況。這項發現使地方政府和社區能夠採取防禦措施。

資料分析外包產業概況

資料分析外包市場分散，各種供應商為大型和小型企業提供業務流程解決方案。隨著公司產生越來越多的巨量資料，越來越多的供應商提供企業資料管理和資料智慧服務。市場上的技術進步也為企業提供了永續的競爭優勢，市場上也出現了一些聯盟和合併。

  • 2023 年 6 月 - Genpact 是一家專注於提供業務轉型成果的全球專業服務公司，宣布與Google Cloud 合作，利用生成式AI 來推動可操作的業務洞察等，以幫助企業加速實施人工智慧(AI) 戰略。

其他好處

  • Excel 格式的市場預測 (ME) 表
  • 3 個月分析師支持

目錄

第1章簡介

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章市場動態

  • 市場概況
  • COVID-19 對市場的影響
  • 產業吸引力－波特五力分析
    • 供應商的議價能力
    • 消費者議價能力
    • 新進入者的威脅
    • 競爭公司之間敵對關係的強度
    • 替代品的威脅
  • 產業價值鏈分析
  • 市場促進因素
    • 產生的資料數量和種類不斷增加
    • BFSI 擴大採用資料分析外包
  • 市場問題
    • 缺乏熟練的專業人員

第5章市場區隔

  • 類型
    • 客戶關係管理分析
    • 供應鏈分析
    • 風險分析
    • 財務分析
    • 其他
  • 最終用戶產業
    • 零售
    • 車
    • 製造業
    • BFSI
    • 資訊科技/通訊
    • 石油和天然氣
    • 其他
  • 地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 南美洲
    • 中東/非洲

第6章 競爭狀況

  • 公司簡介
    • 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.
  • 供應商排名分析

第7章投資分析及未來展望

簡介目錄
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