Cloud-based Time Series Database: Introduction
- A
time series database (TSBD) is a sequence of data points collected over
time intervals, or it refers to a database optimized for measuring change
over time. Time series database is a collection of measurements or events
that are monitored or tracked over time. It is mainly used for application
performance monitoring, sensor data, network data, clicks, events, trades
in a market, and numerous other types of analytics data.
- Time
series database monitors or tracks changes over milliseconds, days, or
even years.
- The global
cloud-based time series database market is projected to
expand at a rapid pace during the forecast period, due to the increase in
adoption of these solutions among end-users across the globe
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Global Cloud-based Time Series Database Market: Dynamics
Global Cloud-based Time Series Database Market: Key
Drivers and Restraints
- Increase
in demand to reduce risks, improve efficiency, and enhance business
operations among end-users is expected to boost the global cloud-based
time series database market during the forecast period
- Rise
in need to analyze financial data accurately and the volatility of stock
trading is also anticipated to fuel the cloud-based time series database
market during the forecast period.
- Technological
advancements and changing work culture have encouraged business
organizations to adopt advanced software. Thus, demand for cloud-based
time series database is likely to increase during the forecast period to
cater to the fast-changing market needs.
- Rise
in demand for accessing IoT data and monitoring web services,
applications, and infrastructure is also expected to boost its demand across
the globe.
- However,
high cost of cloud-based time series database restricts its adoption among
small-sized end-users. This is anticipated to hamper the market during the
forecast period.
Impact of COVID-19 on the Global Cloud-based Time Series
Database Market
- The
COVID-19 pandemic is anticipated to adversely impact the global
cloud-based time series database market in the short term i.e. during the
lockdown period. Investment in cloud-based time series database among
organizations has reduced significantly due to the lockdowns enforced by
various governments to curb the spread of the COVID-19 pandemic.
- However,
many end-users such as government and healthcare sector are significantly
adopting time series database to track the closing and opening value of
the stock market, daily lows and highs in temperature, and total number of
COVID-19 hospitalizations per day across the globe. This is projected to
positively impact the global cloud-based time series database market
during the forecast period.
North America to Hold Major Share of Global Cloud-based
Time Series Database Market
- In
terms of region, the global cloud-based time series database market can be
divided into North America, Europe, Asia Pacific, Middle East &
Africa, and South America
- North
America dominated the global cloud-based time series database market in
2020, due to the significant adoption of cloud-based time series database
in the region. COVID-19 cases are high in the U.S. in the North America
region. This is anticipated to positively impact the adoption of
cloud-based time series database to track or monitor the total number of
COVID-19 hospitalizations per day.
- The
cloud-based time series database market in Asia Pacific is projected to
expand at a rapid pace during the forecast period. Increasing demand to
track the daily COVID-19 statistics across various countries is expected
to boost the market in the short term. Moreover, the increasing trend of
stock trading in the region is likely to propel the cloud-based time
series database market in Asia Pacific in the next few years.
Global Cloud-based Time Series Database Market:
Competition Landscape
Several local, regional, and international players are
active and have strong presence in the cloud-based time series database market.
Rapid technological advancements have led to opportunities in the global
cloud-based time series database market. Solution vendors of digital operations
are focusing on inorganic growth strategies such as strategic collaborations
and merger and acquisition activities with technology partners to develop
innovative and advanced solutions to improve their offerings and market reach.
Key Players Operating in the Global Cloud-based Time
Series Database Market:
InfluxData Inc., IBM Corporation, AVEVA Plc, Alibaba, Amazon
Web Services, Inc., Axibase Corporation, BangDB, Circonus, Inc., DataStax, Inc.,
Dell Inc. (VMware), First Derivatives (Kx Systems), Google LLC, McObject LLC, Microsoft
Corporation, QuasarDB, QuestDB, Riak, SenX S.A.S., Timescale, Inc., Trendalyze,
Inc.
Global Cloud-based Time Series Database Market: Research
Scope
Global Cloud-based Time Series Database Market, by
Deployment
- Public
Cloud
- Private
Cloud
- Hybrid
Cloud
Global Cloud-based Time Series Database Market, by
Enterprise Size
- Small
& Medium Enterprise
- Large
Enterprise
Global Cloud-based Time Series Database Market, by
End-user
- BFSI
- Retail
- Mining
- Chemical
- Automotive
- Manufacturing
- IT
& Telecommunication
- Aerospace
and Defense
- Others
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