Press release
Data Analytics Outsourcing Market Trends, Share, Analysis, Statistics and Forecast By 2027
Data Analytics Outsourcing Market
What is data analytics outsourcing?
Data analytics outsourcing refers to the process of using third-party applications and organizations to derive valuable insights from a vast amount of data that is generated from Artificial Intelligence (AI), Robotics Process Automation (RPA), connected devices, Big Data repositories, etc. The information is also obtained by predicting data patterns via numerous data science, data visualization, and statistical research tools that are further used to improve operational efficiency and revenues. Outsourcing data analytics services provide organizations with greater flexibility and access to updated software. Consequently, they find extensive applications across various industries, including automotive, healthcare, banking, financial services, and insurance (BFSI), retail, manufacturing, telecommunications, etc.
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Data Analytics Outsourcing Market Trends:
The emerging trend of digitization and the widespread adoption of cloud computing services across countries are primarily driving the data analytics outsourcing market. Additionally, continuous technological advancements, such as the growing integration of connected devices with the Internet of Things (IoT), are further bolstering the market growth. Besides this, the increasing number of third-party data analytics organizations that enhance business operations and cost-efficiency by optimizing and personalizing the interface is acting as another significant growth-inducing factor. Moreover, the escalating demand for specialized analytical tools and the inflating popularity of data-driven decision-making practices are positively influencing the global market. Apart from this, data analytics service providers also interpret information generated by social media platforms, thereby enabling businesses to understand user behavior and market trends. Furthermore, the expanding online retail sector is projected to fuel the data analytics outsourcing market in the coming years.
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Note: In this report you will get detailed analysis of the market, growth analysis graphs, historical period analysis, forecast period analysis, major market segmentation, top leading key players of the market, table of content, list of figures, and list of tables.
Competitive Landscape with Key Players:
The report has also analysed the competitive landscape of the market with some of the key players.
• Capgemini
• Fractal Analytics Inc.
• Genpact Ltd.
• Infosys Ltd.
• IBM
• Mu Sigma Inc.?
• Electrifai LLC
• Tata Consultancy Services Ltd.
• Trianz
• Wipro
• ZS Associates Inc.
Data Analytics Outsourcing Market Segmentation:
The report has categorized the market based on type, application, component and vertical.
Breakup by Type:
• Descriptive
• Predictive
• Prescriptive
Breakup by Application:
• Sales Analytics
• Marketing Analytics
• Finance and Risk Analytics
• Supply Chain Analytics
• Others
Breakup by Component:
• Solutions
• Services
Breakup by Vertical:
• Retail?
• Automotive?
• Manufacturing?
• BFSI?
• IT and Telecom?
• Others
Breakup by Region:
• North America (United States, Canada)
• Asia-Pacific (China, Japan, India, South Korea, Australia, Indonesia, Others)
• Europe (Germany, France, United Kingdom, Italy, Spain, Russia, Others)
• Latin America (Brazil, Mexico, Others)
• Middle East and Africa (United Arab Emirates, Saudi Arabia, Qatar, Iraq, South Africa, Others)
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Key highlights of the report:
• Market Performance (2016-2022)
• Market Outlook (2022-2027)
• Market Trends
• Market Drivers and Success Factors
• Impact of COVID-19
• Value Chain Analysis
• Comprehensive mapping of the competitive landscape
If you need specific information that is not currently within the scope of the report, we will provide it to you as a part of the customization.
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• To provide insights about factors affecting the market growth.
• To Analyze the Analytics as a service Market based on various factors- porters five force analysis, mega trend analysis, macroeconomic indicators etc.
• To provide historical and forecast revenue of the…
