The Global Big Data Analytics Market was valued at USD 13.22 billion in 2021 and is expected to reach USD 29.23 billion by the year 2028, at a CAGR of 12%.
2. Big Data Analytics Market
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Annual Market Size and Forecast
Technological Roadmap & Regulatory Landscape
Analysis on type and applications
Industry Value Chain Analysis
Analysis on Major Trends
Key strategies by Top Market Players
Market Share Analysis 2021
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Big Data Analytics Market
Market Overview:
Big Data Analytics market size to grow from USD 13.22 Billion in 2021 to US$ 29.27 Billion
by 2028, at a CAGR of 12.0% over the forecast period.
Big data analytics is the use of analytic techniques on very large, diverse data sets that include
structured, semi-structured, and unstructured data, from various sources, and in different
sizes from terabytes to zettabytes. Big data analytics is an important component for
companies it allows them to handle, process, and streamline massive datasets in short, real-
time and also improves their decision-making capabilities. Furthermore, the primary goal of
big data and business analytics is to assist various businesses with a better understanding of
their clients and narrowing down their target audience, which helps in the optimization of
marketing campaigns. Big data analytics and business analytics are being used by various
industries to analyze large amounts of data. It is own the advent of cloud-based Big data
analytics and business analytics, that allows companies to access all of their data from
anywhere across the globe. According to Statista in 2021, the United States is the leading
country in the big data and business analytics (BDA) market, with a 51% market share.
Major Key Players for Big Data Analytics Market:
• IBM Corporation (US)
• Microsoft (US)
• ThoughtSpot, Inc. (US)
• Mu Sigma (US)
• Amazon Web Services, Inc. (US)
• Tableau Software, LLC. (US)
• SiSense Inc (US)
• Alteryx, Inc (US)
• Dell Inc. (US)
• Zoho Corporation Pvt. Ltd. (India)
• Oracle (US)
• SAP SE (Germany)
• Looker Data Sciences, Inc. (US)
• Datameer, Inc. (US)
• SAS Institute Inc. (US)
Market Dynamics and Factors:
The big data analytics market is continuously increasing due to the adoption of big data
software by various industries to carry out organizational activities in an effective way. This
software helps to enhance the decision-making capability of the organization. In addition to
this at the time of COVID-19 different organizations across the world have initiated work from
home culture for their employees. The work-from-home culture has developed a demand for
cloud-based big data analytics to manage critical information of organizations data analytics
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is used which propel the growth of the big data analytics market during the projected period.
Moreover, increase in the need of gaining better insights into business planning. Big data
analytics used the complex process of examining big data to uncover information such as
hidden patterns, correlations, market trends, and customer preferences that can help
organizations make better business decisions that propel the growth of the big data analytics
market during the forecasted period. However, high implementation cost hampers the
market.
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Big Data Analytics Market Report Highlight:
• By component, the software segment is expected to have the maximum market share
in the big data analytics market during the projected period.
• By deployment model, the cloud segment is predicted to expand the most in the big
data analytics market during the forecast year. Cloud allows companies to access all
of their data from anywhere across the globe which drives the growth of the market.
• By end-user, the BFSI segment is anticipated to dominate the big data analytics market
during the forecasted period. An extensively growing customer base supports the
growth of the market.
• By region, North America is expected to dominate the big data analytics market,
during the projection period. The high adoption of emerging technology supports the
growth of the Big Data Analytics Market in North America.
Big Data Analytics Market Segmentation:
By Component
• Software
• Hardware
• Services
By Deployment Model
• On-premise
• Cloud
End User
• BFSI
• IT and Telecommunication
• Others
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Scope of the Report:
The objective of the research is to provide the market knowledge and strategic insights to
assist decision-makers in making informed investment decisions and identifying potential
gaps and growth opportunities. Historical revenue and sales volume are reported, and
additional data is triangulated using top-down and bottom-up methodologies to predict
forecast numbers for important regions covered in the research, as well as classified and well-
known Types and end-use industries. Big Data Analytics Market study explores the
competitive landscape of the global market. In addition to rival market share research, in-
depth profiling, product/service, and business overviews, the study focuses on BCG matrix,
heat map analysis, and SWOT analysis to better correlate market competitiveness. Five forces
analysis, Ansoff matrix, PESTEL analysis, and value chain analysis are used to better
understand market conditions.
Table of Content:
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
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Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Components
3.2 By Deployment Model
3.3 By Analytics Tool
3.4 By End User
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
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4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
3.5.1 Drivers
3.5.2 Restraints
3.5.3 Opportunities
3.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
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