Big Data Market Innovations, Technology Growth and Research -2026
According to a research report "Big Data Market Growth with COVID-19 Impact Analysis, by Component, Deployment Mode, Organization Size, Business Function (Finance, Marketing & Sales), Industry Vertical (BFSI, Manufacturing, Healthcare & Life Sciences) and Region - Global Forecast to 2026" published by MarketsandMarkets, the Big Data market size is projected to grow from USD 162.6 billion in 2021 to 273.4 USD billion in 2026, at a Compound Annual Growth Rate (CAGR) of 11.0% during the forecast period. The Big Data industry is driven by sharp increase in data volume. However, rise in data connectivity through cloud computing and incorporation of digital transformation in top-level strategies.
Based
on the Component, solutions segment to account for a larger market size during
the forecast period
The Big Data market has been
segmented by two components: solutions and services. The deployment of Big Data
has witnessed an increase in adoption, as serves a variety of purposes, such as
fraud detection and risk management. The growing adoption of Big Data across
all major verticals, such as BFSI, Government and Defense, Healthcare and Life
Sciences, Manufacturing, Retail and Consumer Goods, Media and Entertainment,
Telecommunications and IT, Transportation and Logistics, Other Verticals( (real
estate, energy and utilities, travel and hospitality, and education and
research).
Based
on deployment mode, cloud segment to grow at a higher CAGR during the forecast
period
Cloud computing refers to the
storage, management, and processing of data via networks of remote servers,
which are typically accessed via the Internet. According to Statista, cloud
computing would generate more than USD 300 billion in revenue in 2020 as a
component of IT services. At the same time, PwC shows the COVID-19 crisis has
accelerated the cloud transition even further as per data during the first
quarter of 2020, cloud spending increased by 37% to USD 29 billion. The
increasing generation of data leads to various challenges for several
organizations. These challenges include storage, privacy, and affordability.
Based
on solution, data discovery segment to hold the largest market size during the
forecast period
Data discovery is the process of
gathering and analyzing data from diverse sources in order to identify trends
and patterns in the data. It necessitates a series of actions that businesses
may utilize as a framework to comprehend their data. Data discovery, which is
often connected with business intelligence (BI), aids in informing business
choices by bringing different, segregated data sources together to be examined.
Having a lot of data is pointless until users can discover a way to make sense
of it. Connecting multiple data sources, purifying and preparing the data,
disseminating the data around the organization, and performing analysis to
acquire insights into business operations are all part of the data discovery
process. Data discovery enables organizations to unlock the value contained
within data. With the adoption of data discovery solutions, organizations can
easily convert raw data into meaningful, actionable insights and
recommendations that can help data scientists to make daily and long-term strategic
business decisions. Data discovery solutions exhibit capabilities, such as
preparing data, finding patterns in data sharing and operationalizing.
Based
on cloud type, Hybrid Cloud segment to grow at a higher CAGR during the
forecast period
A hybrid cloud is a cloud computing
environment that is a mix of both public cloud and private cloud. It helps
organizations enhance their data centers by deploying data on a multi-cloud
platform. Various benefits, such as agility, scalability, and cost optimization
features, are boosting the adoption of hybrid cloud analytics solutions in the
global cloud analytics market. Enterprises are adopting hybrid cloud as it
helps them overcome complexities related to the traditional IT environments.
Based
on vertical, the healthcare and life science segment is expected to grow at a
higher CAGR during the forecast period
Big Data are gaining acceptance
among all verticals to improve profitability and reduce overall costs. The
major verticals adopting Big Data software are BFSI, Government and Defense,
Healthcare and Life Sciences, Manufacturing, Retail and Consumer Goods, Media
and Entertainment, Telecommunications and IT, Transportation and Logistics,
Other Verticals (real estate, energy and utilities, travel and hospitality, and
education and research). Healthcare and life science, by vertical segment, is
expected to grow at a higher CAGR during the forecast period
Based
on organization size, SMEs segment to grow at the highest CAGR during the
forecast period
The Despite contributing a major
share to the world’s economy, SMEs are more open toward the adoption of new
technologies to smoothen and enhance the business processes, but SMEs are under
constant pressure to adopt cost-effective and reliable strategies that
effectively support their business goals and help them grow. Small businesses
can use big data to better understand their customers, including what motivates
them to buy, how they prefer to shop, why they switch, what they will buy next,
and what variables cause them to promote a firm to others. Analyzing consumer
feedback to improve a product or service can also help companies better
interact and engage with customers.
North
America to hold the largest market size during the forecast period
North America is estimated to
account for the largest market share during the forecast period. In North
America, data discovery and big data analytics are considered highly effective
by most organizations and verticals. On the other hand, Europe is gradually
incorporating these advanced solutions within its enterprises. APAC is
witnessing a substantial rise in the adoption of Big Data owing to the
increasing digitalization and rising demand for centrally managed systems.
Major Big Data vendors include
IBM(US), Google(US), Oracle(US), Microsoft(US), SAS(US), SAP(Germany),
Alteryx(US), TIBCO(US), Cloudera(US), Teradata(US), AWS(US), Informatica(US),
Sisense(US), Salesforce(US), HPE(US), Qlik(US), Splunk(US), VMware(US),
Accenture(Ireland), Ataccama(Canada), COGITO(US), Centerfield(US), RIB
datapine(Berlin), Fusionex(Malaysia), BigPanda(US), Bigeye(US), Imply(US),
Rivery(US), YugabyteDB (US), Airbyte(US), Cardagraph(US), Firebolt(US),
Syncari(US).These market players have adopted various growth strategies, such
as partnerships, collaborations, and new product launches, to expand have been
the most adopted strategies by major players from 2018 to 2022, which helped
companies innovate their offerings and broaden their customer base.
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