Data Analytics Outsourcing Market Share Growth & Size Opportunities by 2027

Data Analytics Outsourcing Market to 2027 - Global Analysis and Forecasts by Type (Descriptive Data Analytics, Predictive Data Analytics, and Prescriptive Data Analytics); Application (Sales Analytics, Marketing Analytics, Risk & Finance Analytics, and Supply Chain Analytics); and End-user (BFSI, Healthcare, Retail, Manufacturing, Telecom, and Media & Entertainment)

  • Report Code : TIPTE100001359
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 174
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The data analytics outsourcing market expected to grow from US$ 3,077.65 million in 2019 to US$ 19,357.09 million by 2027; it is estimated to grow at a CAGR of 25.8% from 2019 to 2027.

Shortage of skilled labor and high cost associated with their retention is attributing to the growth of the market. In the business world of today, data holds the most prominent position. If gathered and analyzed in a correct way the data is capable of facilitating the organizations to effectively map their potential for the business needs, and make well-informed and sensible decisions. However, in order to derive the correct information the organizations procure data analytics skills, and shortage in the availability of skilled workforce is therefore delaying the adoption of analytical capabilities among the organizations. The training and educations institutes across the globe are often unable to meet the requirement of the transforming labor market, which in response have created gaps containing the growth of data analytics.
However, owing to the robust competitive advantage provided by data science and analytics capabilities, the organizations are shifting their focus from in-house data analytics skill procurement to outsourcing of analytics services. The widening gap due to the skill shortage has thus created the demand for outsourcing services for their data analytics provision. The demand for outsourced in not just fuelled by the shortage of skilled labors but also because of the operational cost involved with adoption of data analytics capabilities. In order to integrate the big data management capabilities the companies are required to invest upon additional assets and resources. Thus, instead of having on payroll, the companies are preferring to outsource them before strategizing new product development, market penetration, and cost projections. Furthermore, for attainment in upcoming oversaturated and volatile market, the business are expected to continue to spend on data analytics outsourcing.

Lucrative Regions in Data Analytics Outsourcing Market

Lucrative Regions in Data Analytics Outsourcing Market
  • Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
 

Market Insights–Data Analytics Outsourcing Market

Rapidly increasing data traffic

With the use of more and more connected devices and easy access to internet coupled with decreasing cost of internet services, the demand for big data analytics is increasing worldwide. This is due to increasing in cloud-based services, such as online contents including movies, apps, videos and social media. The proportion of data traffic generated by cloud during the recent past was around 1.2 zettabytes, according to Cisco Systems, and this comprised of 46% of the total traffic. Furthermore, the company estimates that in the coming years, this data traffic will increase more than 5 zettabytes. This has resulted in cloud-based companies to deploy more IT space in their data centers. Several industries are exploring the cloud offerings and discovering the benefits of data center services to support their needs related to cloud. These developments are directly effecting the increase in Internet of Things (IoT) and data, thereby resulting in increased demand for data analytics capabilities.

Type-Based Insights

Based on type, the data analytics outsourcing market is segmented into descriptive analytics, predictive analytics, and prescriptive analytics. The descriptive analytic segment held the largest market share in 2018.

Application-Based Insights

Based on application, the data analytics outsourcing market is segmented into sales analytics, marketing analytics, risk & finance analytics, supply chain analytics, and others. The marketing analytics segment held the largest market share in 2018.

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Data Analytics Outsourcing Market: Strategic Insights

data-analytics-outsourcing-market
Market Size Value inUS$ 3,077.65 Million in 2019
Market Size Value byUS$ 19,357.09 Million by 2027
Growth rateCAGR of 25.8% from 2020-2027
Forecast Period2020-2027
Base Year2020
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Players operating in the data analytics outsourcing market are mainly focused on the development of advanced and efficient products.

  • In 2018, Wipro has entered into a partnership with Lone Star. The partnership between two companies enables Lone Star’s analytic services to improve the IIoT platform of Wipro. This integration would help to predict the future results within a real-time and also turn the knowledge into action.
  • In 2017, Genpact Ltd. partners with Sequoya, an analytic firm specializing in multi-source data modelling and predictive analytics solutions. With this relationship, Genpact will integrate the Sequoya 20/20 analytics platform into its analytics and digital portfolio to optimize the trade promotion operations for its consumer packaged goods (CPG) and life sciences client base.

The data analytics outsourcing market has been segmented as follows:

Data Analytics Outsourcing Market – by Type

  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics


Data Analytics Outsourcing Market – by Application                                        

  • Sales Analytics
  • Marketing Analytics
  • Risk & Finance Analytics
  • Supply Chain Analytics
  • Others


Data Analytics Outsourcing Market – by End-User                                           

  • BFSI
  • Healthcare
  • Retail
  • Manufacturing
  • Telecom
  • Media & Entertainment
  • Others


Data Analytics Outsourcing Market – by Geography

  • North America

    • US
    • Canada
    • Mexico
  • Europe

    • France
    • Germany
    • Italy
    • Russia
    • U.K
    • Rest of Europe
  • Asia Pacific (APAC)

    • Japan
    • China
    • Australia
    • India
    • South Korea
    • Rest of APAC
  • Middle East and Africa (MEA)

    • Saudi Arabia
    • UAE
    • South Africa
    • Rest of MEA
  • South America (SAM)

    • Brazil
    • Argentina
    • Rest of SAM

Data Analytics Outsourcing Market – Company Profiles

  • Accenture
  • Capgemini SE
  • Fractal Analytics Inc.
  • Genpact
  • Infosys Limited
  • Mu Sigma Inc.
  • Tata Consultancy Services Limited
  • Wipro Limited
  • WNS (Holdings) Ltd.
  • ZS Associates, Inc.
Report Coverage
Report Coverage

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

Segment Covered
Segment Covered

Type ; Application ; and End-user

Regional Scope
Regional Scope

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

Country Scope
Country Scope

US, Canada, Mexico, UK, Germany, Spain, Italy, France, India, China, Japan, South Korea, Australia, UAE, Saudi Arabia, South Africa, Brazil, Argentina

The List of Companies

  1. Accenture
  2. Capgemini SE
  3. Fractal Analytics Inc.
  4. Genpact
  5. Infosys Limited
  6. Mu Sigma Inc.
  7. Tata Consultancy Services Limited
  8. Wipro Limited
  9. WNS (Holdings) Ltd.
  10. ZS Associates, Inc.

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 many reports and advised several clients 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 organizations 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 the 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/Sales 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.

  • 3.1 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.

  • 3.2 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.

  • 3.3 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.

  • 3.4 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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