数据分析外包市场(基于主要地区、市场参与者、规模和贡献)- 预测至 2031 年

  • Report Code : TIPTE100001359
  • Category : Technology, Media and Telecommunications
  • Status : Data Released
  • No. of Pages : 150
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数据分析外包市场规模预计将从 2023 年的 73 亿美元增至 2031 年的 529.4 亿美元。预计 2023 年至 2031 年数据分析外包市场的复合年增长率为 28.1%。数据分析外包是一种协作策略,企业将其数据委托给服务提供商并接收智能信息。

 

数据分析外包市场分析

人工智能(人工智能在数据分析的许多要素中取代了人类,需要更少的体力劳动。因此,数据分析外包的本质重点是人类如何有效地设计和训练机器学习模型,而不是管理离岸员工。大-大规模数据生产鼓励组织深入了解消费者细分、了解每个类别的偏好、及时了解行为变化和个性化。由于互联网使用量的增加,企业现在可以访问大量有组织和非结构化的数据。

 

数据分析外包市场概述

数据分析外包是一种协作策略,企业将其数据委托给服务提供商并接收智能信息。同时,供应商负责处理其他一切,包括基础设施设置和支持、数据管理和分析。将数据分析外包给经验丰富的服务提供商可以提高数据处理的准确性,简化相关程序,并为明智的决策提供卓越的见解。此外,数据分析外包企业使用不断更新的尖端工具和技术,为客户提供最佳结果。在银行业,数据分析可用于多种目的,从提高网络安全到最大限度地减少客户流失。一旦数据经过处理和分析,银行可以接收和使用来自外部来源的额外数据,例如贸易、监管和社交媒体参与度。

 

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我们可以优化和定制我们的标准产品无法满足的分析和范围。这种灵活性将帮助您获得业务规划和决策所需的准确信息。

数据分析外包市场:

数据分析外包市场

  • 年均复合增长率(2023 - 2031)
    28.1%
  • 2023 年市场规模
    73 亿美元
  • 2031 年市场规模
    529.4 亿美元

市场动态

增长动力
  • 外包数据分析需求的快速可扩展性
未来的趋势
  • AI 和 ML 在文档分析中的集成
机会
  • 增加数字数据生产

关键人物;主力;重要一员

  • 埃森哲
  • 凯捷公司
  • 分形分析公司
  • 简柏特
  • 印孚瑟斯有限公司
  • 穆西格玛公司
  • 塔塔咨询服务有限公司
  • 维普罗有限公司
  • WNS(控股)有限公司
  • ZS 联合公司

区域概况

  • 北美
  • 欧洲
  • 亚太
  • 南美洲和中美洲
  • 中东和非洲

市场细分

类型
  • 描述性数据分析
  • 预测数据分析
  • 规范性数据分析
应用
  • 销售分析
  • 营销分析
  • 风险与财务分析
  • 供应链分析
最终用户
  • BFSI
  • 卫生保健
  • 零售
  • 制造业
  • 电信
  • 媒体与娱乐
  • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

 

数据分析外包市场驱动因素和机遇

 

增加数字数据生产以支持市场

数字化时代导致全球数字数据产生量增加。智能手机和电脑等数字设备的广泛使用导致数字数据支出激增。物联网 (IoT) 的日益普及及其设备收集的数据推动了这一激增。数据分析师努力处理和解释大量数字数据。由于与内部解决方案相关的高成本和早期投资,企业越来越多地外包数据分析解决方案。外包服务可以帮助组织快速建立分析框架,否则这可能会很困难或耗时。

 

外包数据分析需求的快速可扩展性

外包服务还可以帮助组织快速开发分析框架,否则利用中小型企业的内部能力来执行该框架将是困难的(如果不是不可能的话),而且成本高昂。此外,利用外包供应商的技术和资源来提高数据分析工具和流程的运营效率,例如实施先进的数据中心、机器人流程自动化或基于云的软件,可能是一个显着的优势。根据 AMR 的说法,将数据分析外包给第三方合作伙伴还可以帮助企业使用以前可能没有探索过的更具创意的解决方案。中小型企业可能无法在内部使用此类专业知识。

 

数据分析外包市场报告细分分析

有助于数据分析外包市场分析的关键部分是类型、应用程序和最终用户。

  • 根据类型,数据分析外包市场分为描述性数据分析、预测性数据分析和规范性数据分析。
  • 按应用划分,市场分为销售分析、营销分析、风险与财务分析以及供应链分析。
  • 根据最终用户,数据分析外包市场分为 BFSI、医疗保健、零售、制造、电信以及媒体和娱乐。

 

按地域划分的数据分析外包市场份额分析

数据分析外包市场报告的地理范围主要分为五个地区:北美、亚太地区、欧洲、中东和非洲、南美洲/中南美洲。不断上升的社交渗透数据隐藏着标准分析工具无法检测到的模式。 We Are Social 的数据显示,去年中国和美国的活跃社交网络渗透率分别为 64.6% 和 72.3%,这表明大量数据生成需要分析。这鼓励全国各地的企业外包数据分析。

 

数据分析外包市场报告范围

报告属性细节
2023年市场规模73亿美元
2031 年市场规模529.4亿美元
全球复合年增长率(2023 - 2031)28.1%
历史数据2021-2022
预测期2024-2031
涵盖的细分市场按类型
  • 描述性数据分析
  • 预测数据分析
  • 规范性数据分析
按申请
  • 销售分析
  • 营销分析
  • 风险与财务分析
  • 供应链分析
按最终用户
  • BFSI
  • 卫生保健
  • 零售
  • 制造业
  • 电信
  • 媒体与娱乐
覆盖地区和国家北美
  • 我们
  • 加拿大
  • 墨西哥
欧洲
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 意大利
  • 欧洲其他地区
亚太
  • 中国
  • 印度
  • 日本
  • 澳大利亚
  • 亚太其他地区
南美洲和中美洲
  • 巴西
  • 阿根廷
  • 南美洲和中美洲其他地区
中东和非洲
  • 南非
  • 沙特阿拉伯
  • 阿联酋
  • 中东和非洲其他地区
市场领导者和主要公司简介
  • 埃森哲
  • 凯捷公司
  • 分形分析公司
  • 简柏特
  • 印孚瑟斯有限公司
  • 穆西格玛公司
  • 塔塔咨询服务有限公司
  • 维普罗有限公司
  • WNS(控股)有限公司
  • ZS 联合公司
  • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

 

数据分析外包市场新闻和最新动态

数据分析外包市场是通过收集初级和二级研究后的定性和定量数据来评估的,其中包括重要的公司出版物、协会数据和数据库。以下是市场发展的列表:

  • 2023 年 6 月,简柏特宣布与 Google Cloud 合作,帮助企业加速人工智能 (AI) 战略,包括利用生成式 AI 的采用来推动可行的业务洞察。

(来源:简柏特,新闻稿,2023 年)

  • 2023 年 9 月,IBM 宣布计划引入新的基于 AI 的生成模型并对 Watsonx 进行升级。这些新增内容包括 Watsonx 的技术预览。 Watsonx 很快将提供治理和新的丰富的人工智能数据产品。数据以及计划将 Watsonx.ai 基础模型集成到选定的软件和基础设施产品中。

(来源:IBM,新闻稿,2023 年)

 

数据分析外包市场报告范围和可交付成果

《数据分析外包市场规模和预测(2021-2031)》报告对涵盖以下领域的市场进行了详细分析:

  • 范围内涵盖的所有关键细分市场的全球、区域和国家层面的市场规模和预测
  • 市场动态,例如驱动因素、限制因素和关键机遇
  • 未来主要趋势
  • 详细的 PEST/波特五力分析和 SWOT 分析
  • 全球和区域市场分析,涵盖主要市场趋势、主要参与者、法规和最新市场发展
  • 行业格局和竞争分析,涵盖市场集中度、热图分析、知名参与者和最新发展
  • 详细的公司简介
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


What is the estimated market size for the global data analytics outsourcing market in 2023?

The global data analytics outsourcing market was estimated to be US$ 7.30 billion in 2023 and is expected to grow at a CAGR of 28.1% during the forecast period 2023 - 2031.

What are the driving factors impacting the global data analytics outsourcing market?

Increased digital data production is the major factors that propel the global data analytics outsourcing market.

What are the future trends of the global data analytics outsourcing market?

The development of new applications is anticipated to play a significant role in the global data analytics outsourcing market in the coming years.

Which are the key players holding the major market share of the data analytics outsourcing market?

The key players holding majority shares in the global data analytics outsourcing market are Accenture, Capgemini SE, Fractal Analytics Inc., Genpact, and Infosys Limited.

What will be the market size of the global data analytics outsourcing market by 2031?

The global data analytics outsourcing market is expected to reach US$ 52.94 billion by 2031.

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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