image

Data Analytics Outsourcing Market Report Scope & Overview:

The Data Analytics Outsourcing Market size was valued at USD 7.84 Billion in 2022 and is expected to grow to USD 81.40 Billion by 2030 and grow at a CAGR of 33.98% over the forecast period of 2023-2030.

Data analytics outsourcing refers to the practice of utilizing third-party applications and organizations to analyze data. These services are invaluable for extracting actionable insights from vast amounts of data generated by artificial intelligence (AI), robotics process automation (RPA), connected devices, and big data repositories. By employing data science, data visualization, and statistical research tools, these insights are derived from analyzing data patterns. Ultimately, these insights are leveraged to enhance operational efficiency and drive revenue growth.

Data Analytics Outsourcing Market Revenue Analysis

Outsourcing data analytics services provides organizations with increased flexibility, allowing them to leverage the latest tools and services for their data analysis needs. Consequently, these services have found widespread adoption across various industries, including banking, financial services and insurance (BFSI), automotive, healthcare, retail, manufacturing, and IT & telecommunications.

Market Dynamics

Drivers

  • The ever-increasing complexity of consumer information and data has emerged as a driving force behind market growth

  • The Market is Driven by the Increasing Adoption of Data Analytics Outsourcing in the BFSI Sector

Data analytics plays a crucial role in the banking sector, serving various purposes ranging from bolstering cybersecurity to reducing customer attrition. Banks now have the ability to tap into a wealth of external data sources, including trade, regulatory, and social media data, which can be processed and evaluated to enhance their operations. A prime example of this is the case of Redwood Credit Union in Santa Rosa, California, which recognized the significance of social data in providing auto loans. Previously, the credit union relied on factors such as a member's credit score and auto purchase history to determine preapproval for loans every two years. However, it soon discovered a more reliable indicator and subsequently adjusted the frequency of preapprovals.

The adoption of data analytics outsourcing in the banking, financial services, and insurance (BFSI) sector has witnessed a significant surge. This trend can be attributed to the multitude of benefits it offers. By outsourcing data analytics, banks can leverage specialized expertise and cutting-edge technologies to gain valuable insights from their vast data repositories. This, in turn, enables them to make informed decisions, improve operational efficiency, and enhance customer experiences.

Restrains

  • Issue related to losing control of Data Control Restrict Market Growth

When companies decide to outsource their data analytics solutions, there is always a looming threat of losing control over the data or experiencing a data breach. It is crucial to prioritize data protection and privacy in order to mitigate these risks. However, this raises significant concerns for companies regarding the storage and location of their data, and whether it aligns with their organization's needs. Outsourcing partners may prioritize the cheapest or most convenient option for themselves, potentially compromising security policies and data protection. This puts sensitive data at risk and can result in a loss of control over the company's valuable information. Consequently, the need for data analytics outsourcing may decrease due to the potential consequences of outsourcing.

Opportunities

  • The Increasing Scalability of Outsourcing Data Analytical Needs to Drive Market Opportunities

Challenges

  • High costs is significant challenges that need to be addressed.

Impact of Russia Ukraine war

The war in Ukraine could disrupt global supply chains, affecting the availability of hardware and software required for data analytics. This could lead to delays in project execution and increased costs. Ukraine has been known for its strong technical talent pool, and many data analytics outsourcing companies have set up offices or partnered with Ukrainian firms. The war could disrupt the availability of skilled data analysts and data scientists, potentially leading to talent shortages.

Data analytics often involve handling sensitive and confidential data. The war may raise concerns about data security and potential data breaches, as political instability can impact a country's cybersecurity posture. Companies may become more cautious about entrusting their data to outsourcing partners in regions affected by conflict. The economic repercussions of the conflict can affect the cost-effectiveness of outsourcing services. Exchange rate fluctuations and inflation in the region could lead to increased costs for outsourcing services. To mitigate risks associated with geopolitical instability, companies may diversify their outsourcing partnerships by considering alternative countries or regions for their data analytics outsourcing needs. Depending on the nature of the businesses involved, there may be a shift in demand for specific data analytics services. For example, industries related to defense, security, or risk analysis may see increased demand, while other sectors may reduce their outsourcing activities due to uncertainty.

Impact of recession

The recession has undoubtedly posed challenges for the data analytics outsourcing market. As businesses face financial constraints, they are compelled to reevaluate their spending priorities. Consequently, many organizations have reduced their outsourcing budgets, leading to a decline in demand for data analytics services. The recession has prompted companies to adopt a more cautious approach towards outsourcing. They are now seeking cost-effective solutions that can deliver tangible results and help them navigate through these uncertain times. This shift in mindset has forced data analytics service providers to reposition themselves and offer more value-driven propositions to attract clients. Despite these challenges, the data analytics outsourcing market has also witnessed some positive developments during the recession. As businesses strive to optimize their operations and make informed decisions, the demand for data analytics services remains strong. Organizations recognize the importance of leveraging data to gain a competitive edge, even in times of economic downturn.

Moreover, the recession has accelerated the adoption of advanced technologies in the data analytics outsourcing industry. Companies are increasingly relying on automation, artificial intelligence, and machine learning to streamline their processes and enhance the efficiency of data analysis. This technological transformation has opened up new opportunities for service providers to offer innovative solutions and stay ahead of the competition.

Key Market Segmentation

By Type

  • Descriptive

  • Predictive

  • Prescriptive

By End-use

  • BFSI

  • Telecom

  • Retail

  • Healthcare

  • Media & Entertainment

  • Manufacturing

  • Others

By Application

  • Sales Analytics

  • Marketing Analytics

  • Finance & Risk Analytics

  • Supply Chain Analytics

  • Others

Data Analytics Outsourcing Market Segmentation Analysis

Regional Analysis

North America emerged as the dominant force in the market, generating a staggering revenue share of 38%. This remarkable growth can be attributed to the region's increasing adoption of advanced digital technologies, which has resulted in the generation of massive amounts of data. Moreover, the rising influx of data from various departments such as production, procurement, sales & marketing, and human resources is expected to further fuel the demand for data analytics outsourcing in North America.

The Asia Pacific region is poised to experience significant growth in the data analytics outsourcing market in the coming years. Asia Pacific has long been recognized as a global hub for data analytics outsourcing due to its abundance of skilled labor, robust technology infrastructure, cost-effective labor, and efficient telecom infrastructure. Furthermore, the region's extensive implementation of IT on a large scale, the globalization of processes and operational improvements, and access to expert resources are all expected to drive the market's growth in this region.

REGIONAL COVERAGE:

North America

  • US

  • Canada

  • Mexico

Europe

  • Eastern Europe

    • Poland

    • Romania

    • Hungary

    • Turkey

    • Rest of Eastern Europe

  • Western Europe

    • Germany

    • France

    • UK

    • Italy

    • Spain

    • Netherlands

    • Switzerland

    • Austria

    • Rest of Western Europe

Asia Pacific

  • China

  • India

  • Japan

  • South Korea

  • Vietnam

  • Singapore

  • Australia

  • Rest of Asia Pacific

Middle East & Africa

  • Middle East

    • UAE

    • Egypt

    • Saudi Arabia

    • Qatar

    • Rest of Middle East

  • Africa

    • Nigeria

    • South Africa

    • Rest of Africa

Latin America

  • Brazil

  • Argentina

  • Colombia

Rest of Latin America

Key Players:

The major players in the market are Genpact Ltd., Capgemini, Accenture, International Business Machine Corporation., ZS Associates Inc., Trianz, Tata Consultancy Services Ltd., Fractal Analytics Inc., Opera Solutions, LLC, Associates, Inc., and others in final Report.

Genpact Ltd-Company Financial Analysis

Company Landscape Analysis

Recent development

In October 2022, Capgemini made an announcement regarding its agreement to acquire Braincourt, a company specializing in data science and business intelligence services. This strategic move by Capgemini aimed to bolster its data and analytics capabilities in Germany and Northern Europe, meeting the growing demand in the market.

In April 2022, Accenture successfully acquired Ergo, a data-centric business based in Argentina. Ergo played a crucial role in assisting companies in fostering a data-driven decision-making culture through the utilization of big data, analytics, and artificial intelligence (AI).

Global Analytics Outsourcing Market Report Scope
Report Attributes Details
Market Size in 2022  US$ 7.84 Bn
Market Size by 2030  US$ 81.40 Bn
CAGR   CAGR of 33.98 % From 2023 to 2030
Base Year 2022
Forecast Period  2023-2030
Historical Data  2019-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Type (Descriptive, Predictive, Prescriptive)
• By End-use (BFSI, Telecom, Retail, Healthcare, Media & Entertainment, Manufacturing, Others)
• By Application (Sales Analytics, Marketing Analytics, Finance & Risk Analytics, Supply Chain Analytics, Others)
Regional Analysis/Coverage North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America)
Company Profiles Genpact Ltd., Capgemini, Accenture, International Business Machine Corporation., ZS Associates Inc., Trianz, Tata Consultancy Services Ltd., Fractal Analytics Inc., Opera Solutions, LLC, Associates, Inc.
Key Drivers • The ever-increasing complexity of consumer information and data has emerged as a driving force behind market growth
• The Market is Driven by the Increasing Adoption of Data Analytics Outsourcing in the BFSI Sector
Market Restraints • Issue related to losing control of Data Control Restrict Market Growth

 

Frequently Asked Questions

Ans. The CAGR of the Data Analytics Outsourcing Market for the forecast

period 2022-2030 is 33.98 %.

Ans: There are three options available to purchase this report,

 

A. Single User License USD 4650

 

Features: A non-printable PDF to be accessed by just one user at a time

 

1.         No Excel would be delivered along with the PDF

 

2.         1 complimentary analyst briefing session of 30 minutes to be provided post-purchase and delivery of the study

 

3.         1 complimentary update to be provided after 6 months of purchase

 

4.         Additional 80 analyst hours of free customization to add extra slices of information that might be missing from the study

 

 

B. Enterprise User License: USD 6,450

 

Features:

 

1.         A printable/ sharable and downloadable PDF

 

2.         No limit over the number of users

 

3.         An Excel spreadsheet would be delivered along with the PDF

 

4.         2 complimentary analyst briefing sessions of 30 minutes each to be provided post-purchase and delivery of the study

 

5.         2 complimentary updates to be provided within 1 year of purchase

 

6.         Additional 100 analyst hours of free customization to add extra slices of information that might be missing from the study.

 

 

C: Excel Datasheet: USD 2,325

 

1.  ME sheet is provided in Excel format.

 

2.         1 complimentary analyst briefing session of 30 minutes to be provided post-purchase and delivery of the study.

Ans. The forecast period for the Data Analytics Outsourcing Market is 2022-2030.

Ans:  USD 7.84 Billion in 2022 is the market share of the Data Analytics Outsourcing Market

Ans:

  • The ever-increasing complexity of consumer information and data has emerged as a driving force behind market growth
  • The Market is Driven by the Increasing Adoption of Data Analytics Outsourcing in the BFSI Sector

Table of Contents
1. Introduction

1.1 Market Definition
1.2 Scope
1.3 Research Assumptions

2. Research Methodology

3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges

4. Impact Analysis
4.1 COVID-19 Impact Analysis
4.3 Impact of Ongoing Recession
4.3.1 Introduction
4.3.2 Impact on major economies
4.3.2.1 US
4.3.2.2 Canada
4.3.2.3 Germany
4.3.2.4 France
4.3.2.5 United Kingdom
4.3.2.6 China
4.3.2.7 japan
4.3.2.8 South Korea
4.3.2.9 Rest of the World

5. Value Chain Analysis

6. Porter’s 5 forces model

7. PEST Analysis

8. Data Analytics Outsourcing Market, By Type
8.1 Descriptive
8.2 Predictive
8.3 Prescriptive

9. Data Analytics Outsourcing Market By End-use
9.1 BFSI
9.2 Telecom
9.3 Retail
9.4 Healthcare
9.5 Media & Entertainment
9.6 Manufacturing
9.7 Others

10. Data Analytics Outsourcing Market, By Application
10.1 Sales Analytics
10.2 Marketing Analytics
10.3 Finance & Risk Analytics
10.4 Supply Chain Analytics
10.5 Others

11. Regional Analysis
11.1 Introduction
11.2 North America
11.2.1 North America Data Analytics Outsourcing Market By Country
11.2.2North America Data Analytics Outsourcing Market By Type
11.2.3 North America Data Analytics Outsourcing Market By End-use
11.2.4 North America Data Analytics Outsourcing Market By Application
11.2.5 USA
11.2.5.1 USA Data Analytics Outsourcing Market By Type
11.2.5.2 USA Data Analytics Outsourcing Market By End-use
11.2.5.3 USA Data Analytics Outsourcing Market By Application
11.2.6 Canada
11.2.6.1 Canada Data Analytics Outsourcing Market By Type
11.2.6.2 Canada Data Analytics Outsourcing Market By End-use
11.2.6.3 Canada Data Analytics Outsourcing Market By Application
11.2.7 Mexico
11.2.7.1 Mexico Data Analytics Outsourcing Market By Type
11.2.7.2 Mexico Data Analytics Outsourcing Market By End-use
11.2.7.3 Mexico Data Analytics Outsourcing Market By Application
11.3 Europe
11.3.1 Eastern Europe
11.3.1.1 Eastern Europe Data Analytics Outsourcing Market by Country
11.3.1.2 Eastern Europe Data Analytics Outsourcing Market By Type
11.3.1.3 Eastern Europe Data Analytics Outsourcing Market By End-use
11.3.1.4 Eastern Europe Data Analytics Outsourcing Market By Application
11.3.1.5 Poland
11.3.1.5.1 Poland Data Analytics Outsourcing Market By Type
11.3.1.5.2 Poland Data Analytics Outsourcing Market By End-use
11.3.1.5.3 Poland Data Analytics Outsourcing Market By Application
11.3.1.6 Romania
11.3.1.6.1 Romania Data Analytics Outsourcing Market By Type
11.3.1.6.2 Romania Data Analytics Outsourcing Market By End-use
11.3.1.6.4 Romania Data Analytics Outsourcing Market By Application
11.3.1.7 Turkey
11.3.1.7.1 Turkey Data Analytics Outsourcing Market By Type
11.3.1.7.2 Turkey Data Analytics Outsourcing Market By End-use
11.3.1.7.3 Turkey Data Analytics Outsourcing Market By Application
11.3.1.8 Rest of Eastern Europe
11.3.1.8.1 Rest of Eastern Europe Data Analytics Outsourcing Market By Type
11.3.1.8.2 Rest of Eastern Europe Data Analytics Outsourcing Market By End-use
11.3.1.8.3 Rest of Eastern Europe Data Analytics Outsourcing Market By Application
11.3.2 Western Europe
11.3.2.1 Western Europe Data Analytics Outsourcing Market By Type
11.3.2.2 Western Europe Data Analytics Outsourcing Market By End-use
11.3.2.3 Western Europe Data Analytics Outsourcing Market By Application
11.3.2.4 Germany
11.3.2.4.1 Germany Data Analytics Outsourcing Market By Type
11.3.2.4.2 Germany Data Analytics Outsourcing Market By End-use
11.3.2.4.3 Germany Data Analytics Outsourcing Market By Application
11.3.2.5 France
11.3.2.5.1 France Data Analytics Outsourcing Market By Type
11.3.2.5.2 France Data Analytics Outsourcing Market By End-use
11.3.2.5.3 France Data Analytics Outsourcing Market By Application
11.3.2.6 UK
11.3.2.6.1 UK Data Analytics Outsourcing Market By Type
11.3.2.6.2 UK Data Analytics Outsourcing Market By End-use
11.3.2.6.3 UK Data Analytics Outsourcing Market By Application
11.3.2.7 Italy
11.3.2.7.1 Italy Data Analytics Outsourcing Market By Type
11.3.2.7.2 Italy Data Analytics Outsourcing Market By End-use
11.3.2.7.3 Italy Data Analytics Outsourcing Market By Application
11.3.2.8 Spain
11.3.2.8.1 Spain Data Analytics Outsourcing Market By Type
11.3.2.8.2 Spain Data Analytics Outsourcing Market By End-use
11.3.2.8.3 Spain Data Analytics Outsourcing Market By Application
11.3.2.9 Netherlands
11.3.2.9.1 Netherlands Data Analytics Outsourcing Market By Type
11.3.2.9.2 Netherlands Data Analytics Outsourcing Market By End-use
11.3.2.9.3 Netherlands Data Analytics Outsourcing Market By End Users
11.3.2.10 Switzerland
11.3.2.10.1 Switzerland Data Analytics Outsourcing Market By Type
11.3.2.10.2 Switzerland Data Analytics Outsourcing Market By End-use
11.3.2.10.3 Switzerland Data Analytics Outsourcing Market By Application
11.3.2.11.1 Austria
11.3.2.11.2 Austria Data Analytics Outsourcing Market By Type
11.3.2.11.3 Austria Data Analytics Outsourcing Market By End-use
11.3.2.11.4 Austria Data Analytics Outsourcing Market By Application
11.3.2.12 Rest of Western Europe
11.3.2.12.1 Rest of Western Europe Data Analytics Outsourcing Market By Type
11.3.2.12.2 Rest of Western Europe Data Analytics Outsourcing Market By End-use
11.3.2.12.3 Rest of Western Europe Data Analytics Outsourcing Market By Application
11.4 Asia-Pacific
11.4.1 Asia-Pacific Data Analytics Outsourcing Market by Country
11.4.2 Asia-Pacific Data Analytics Outsourcing Market By Type
11.4.3 Asia-Pacific Data Analytics Outsourcing Market By End-use
11.4.4 Asia-Pacific Data Analytics Outsourcing Market By Application
11.4.5 China
11.4.5.1 China Data Analytics Outsourcing Market By Type
11.4.5.2 China Data Analytics Outsourcing Market By End-use
11.4.5.3 China Data Analytics Outsourcing Market By Application
11.4.6 India
11.4.6.1 India Data Analytics Outsourcing Market By Type
11.4.6.2 India Data Analytics Outsourcing Market By End-use
11.4.6.3 India Data Analytics Outsourcing Market By Application
11.4.7 Japan
11.4.7.1 Japan Data Analytics Outsourcing Market By Type
11.4.7.2 Japan Data Analytics Outsourcing Market By End-use
11.4.7.3 Japan Data Analytics Outsourcing Market By Application
11.4.8 South Korea
11.4.8.1 South Korea Data Analytics Outsourcing Market By Type
11.4.8.2 South Korea Data Analytics Outsourcing Market By End-use
11.4.8.3 South Korea Data Analytics Outsourcing Market By Application
11.4.9 Vietnam
11.4.9.1 Vietnam Data Analytics Outsourcing Market By Type
11.4.9.2 Vietnam Data Analytics Outsourcing Market By End-use
11.4.9.3 Vietnam Data Analytics Outsourcing Market By Application
11.4.10 Singapore
11.4.10.1 Singapore Data Analytics Outsourcing Market By Type
11.4.10.2 Singapore Data Analytics Outsourcing Market By End-use
11.4.10.3 Singapore Data Analytics Outsourcing Market By Application
11.4.11 Australia
11.4.11.1 Australia Data Analytics Outsourcing Market By Type
11.4.11.2 Australia Data Analytics Outsourcing Market By End-use
11.4.11.3 Australia Data Analytics Outsourcing Market By Application
11.4.12 Rest of Asia-Pacific
11.4.12.1 Rest of Asia-Pacific Data Analytics Outsourcing Market By Type
11.4.12.2 Rest of Asia-Pacific Data Analytics Outsourcing Market By End-use
11.4.12.3 Rest of Asia-Pacific Data Analytics Outsourcing Market By End Users
11.5 Middle East & Africa
11.5.1 Middle East
11.5.1.1 Middle East Data Analytics Outsourcing Market by country
11.5.1.2 Middle East Data Analytics Outsourcing Market By Type
11.5.1.3 Middle East Data Analytics Outsourcing Market By End-use
11.5.1.4 Middle East Data Analytics Outsourcing Market By Application
11.5.1.5 UAE
11.5.1.5.1 UAE Data Analytics Outsourcing Market By Type
11.5.1.5.2 UAE Data Analytics Outsourcing Market By End-use
11.5.1.5.3 UAE Data Analytics Outsourcing Market By Application
11.5.1.6 Egypt
11.5.1.6.1 Egypt Data Analytics Outsourcing Market By Type
11.5.1.6.2 Egypt Data Analytics Outsourcing Market By End-use
11.5.1.6.3 Egypt Data Analytics Outsourcing Market By Application
11.5.1.7 Saudi Arabia
11.5.1.7.1 Saudi Arabia Data Analytics Outsourcing Market By Type
11.5.1.7.2 Saudi Arabia Data Analytics Outsourcing Market By End-use
11.5.1.7.3 Saudi Arabia Data Analytics Outsourcing Market By Application
11.5.1.8 Qatar
11.5.1.8.1 Qatar Data Analytics Outsourcing Market By Type
11.5.1.8.2 Qatar Data Analytics Outsourcing Market By End-use
11.5.1.8.3 Qatar Data Analytics Outsourcing Market By Application
11.5.1.9 Rest of Middle East
11.5.1.9.1 Rest of Middle East Data Analytics Outsourcing Market By Type
11.5.1.9.2 Rest of Middle East Data Analytics Outsourcing Market By End-use
11.5.1.9.3 Rest of Middle East Data Analytics Outsourcing Market By Application
11.5.2 Africa
11.5.2.1 Africa Transfusion Diagnostics Market by country
11.5.2.2 Africa Data Analytics Outsourcing Market By Type
11.5.2.3 Africa Data Analytics Outsourcing Market By End-use
11.5.2.4 Africa Data Analytics Outsourcing Market By Application
11.5.2.5 Nigeria
11.5.2.5.1 Nigeria Data Analytics Outsourcing Market By Type
11.5.2.5.2 Nigeria Data Analytics Outsourcing Market By End-use
11.5.2.5.3 Nigeria Data Analytics Outsourcing Market By Application
11.5.2.6 South Africa
11.5.2.6.1 South Africa Data Analytics Outsourcing Market By Type
11.5.2.6.2 South Africa Data Analytics Outsourcing Market By End-use
11.5.2.6.3 South Africa Data Analytics Outsourcing Market By Application
11.5.2.7 Rest of Africa
11.5.2.7.1 Rest of Africa Data Analytics Outsourcing Market By Type
11.5.2.7.2 Rest of Africa Data Analytics Outsourcing Market By End-use
11.5.2.7.3 Rest of Africa Data Analytics Outsourcing Market By End Users
11.6 Latin America
11.6.1 Latin America Data Analytics Outsourcing Market by Country
11.6.2 Latin America Data Analytics Outsourcing Market By Type
11.6.3 Latin America Data Analytics Outsourcing Market By End-use
11.6.4 Latin America Data Analytics Outsourcing Market By End Users
11.6.5 Brazil
11.6.5.1 Brazil Data Analytics Outsourcing Market By Type
11.6.5.2 Brazil Data Analytics Outsourcing Market By End-use
11.6.5.3 Brazil Data Analytics Outsourcing Market By End Users
11.6.6 Argentina
11.6.6.1 Argentina Data Analytics Outsourcing Market By Type
11.6.6.2 Argentina Data Analytics Outsourcing Market By End-use
11.6.6.3 Argentina Data Analytics Outsourcing Market By End Users
11.6.7 Colombia
11.6.7.1 Colombia Data Analytics Outsourcing Market By Type
11.6.7.2 Colombia Data Analytics Outsourcing Market By End-use
11.6.7.3 Colombia Data Analytics Outsourcing Market By End Users
11.6.8 Rest of Latin America
11.6.8.1 Rest of Latin America Data Analytics Outsourcing Market By Type
11.6.8.2 Rest of Latin America Data Analytics Outsourcing Market By End-use
11.6.8.3 Rest of Latin America Data Analytics Outsourcing Market By End Users

12 Company profile
12.1 Genpact Ltd.
12.1.1 Company Overview
12.1.2 Financials
12.1.3 Product/Services/Offerings
12.1.4 SWOT Analysis
12.1.5 The SNS View
12.2 Capgemini.
12.2.1 Company Overview
12.2.2 Financials
12.2.3 Product/Services/Offerings
12.2.4 SWOT Analysis
12.2.5 The SNS View
12.3 Accenture.
12.3.1 Company Overview
12.3.2 Financials
12.3.3 Product/Services/Offerings
12.3.4 SWOT Analysis
12.3.5 The SNS View
12.4 International Business Machine Corporation.
12.4.1 Company Overview
12.4.2 Financials
12.4.3 Product/Services/Offerings
12.4.4 SWOT Analysis
12.4.5 The SNS View
12.5 ZS Associates Inc.
12.5.1 Company Overview
12.5.2 Financials
12.5.3 Product/Services/Offerings
12.5.4 SWOT Analysis
12.5.5 The SNS View
12.6 Trianz.
12.6.1 Company Overview
12.6.2 Financials
12.6.3 Product/Services/Offerings
12.6.4 SWOT Analysis
12.6.5 The SNS View
12.7 Tata Consultancy Services Ltd.
12.7.1 Company Overview
12.7.2 Financials
12.7.3 Product/Services/Offerings
12.7.4 SWOT Analysis
12.7.5 The SNS View
12.8 Fractal Analytics Inc.
12.8.1 Company overview
12.8.2 Financials
12.8.3 Product/Services/Offerings
12.8.4 SWOT Analysis
12.8.5 The SNS View
12.9 Opera Solutions, LLC.
12.9.1 Company Overview
12.9.2 Financials
12.9.3 Product/Services/Offerings
12.9.4 SWOT Analysis
12.9.5 The SNS View
12.10 Associates, Inc.
12.10.1 Company Overview
12.10.2 Financials
12.10.3 Product/Services/Offerings
12.10.4 SWOT Analysis
12.10.5 The SNS View

13. Competitive Landscape
13.1 Competitive Benchmarking
13.2 Market Share Analysis
13.3 Recent Developments
13.3.1 Industry News
13.3.2 Company News
13.3.3 Mergers & Acquisitions

14. Use Case and Best Practices

15. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.

 

The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

Step 3: Data Bank Validation

Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.

Data Bank Validation

Step 4: QA/QC Process

After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.

Step 5: Final QC/QA Process:

This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.

Start a Conversation

Hi! Click one of our member below to chat on Phone