Global Time Series Databases (TSDB) Software For BFSI Sector Market Size By Product (Cloud Based, On-Premises), By Application (Large Enterprises, SMEs), By End-Users (Data Analyst, Data Scientist), By Geographic Scope And Forecast

Published Date: August - 2024 | Publisher: MIR | No of Pages: 320 | Industry: latest updates trending Report | Format: Report available in PDF / Excel Format

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Global Time Series Databases (TSDB) Software For BFSI Sector Market Size By Product (Cloud Based, On-Premises), By Application (Large Enterprises, SMEs), By End-Users (Data Analyst, Data Scientist), By Geographic Scope And Forecast

Time Series Databases (TSDB) Software For BFSI Sector Market Size And Forecast

Time Series Databases (TSDB) Software For BFSI Sector Market size was valued at USD 106.74 Million in 2023 and is projected to reach USD 235.99 Million by 2030, growing at a CAGR of 10.53% from 2024 to 2030.

Increase in the utilization of time-series databases to improve security monitoring and increasing volume and complexity of data are the factors driving the market growth. The Global Time Series Databases (TSDB) Software For BFSI Sector Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global Time Series Databases (TSDB) Software For BFSI Sector Market Definition

Building a Time Series Database (TSDB) software for the Banking, Financial Services, and Insurance (BFSI) sector requires careful consideration of the unique requirements and challenges in this industry. Time Series Databases are essential for handling and analyzing time-stamped data, which is prevalent in financial applications. The growing demand for Time Series Databases (TSDB) in the Banking, Financial Services, and Insurance (BFSI) sector can be attributed to several factors. As financial institutions continue to evolve, adopt new technologies, and face increasing data challenges, the need for specialized databases that can efficiently handle time-series data becomes more pronounced.

Okay, so think about itBFSI organizations are practically swimming in time-series data! All those high-speed transactions, market updates, and every single customer interaction – it all adds up. We're talking about tons of different data sources, like market feeds, transaction records, and even sensor readings. That's why they need special databases that can actually handle all this varied time-series stuff. And let's be real, the BFSI sector lives and breathes real-time analytics. They need to keep an eye on the market, manage risks, and make quick decisions. TSDBs let them slice and dice time-sensitive data fast, so they can actually get some useful insights. Plus, as the BFSI sector keeps growing globally, the demand for time series database software is only going to skyrocket. Of course, the growth of banking, financial services, and insurance is always changing, thanks to things like the economy, new tech, regulatory changes, and whatever else is happening in the world.

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Global Time Series Databases (TSDB) Software For BFSI Sector Market Overview

The need to handle and analyze time-stamped data in various industries, including finance, led to the emergence of time series databases. Traditional relational databases needed better suited for efficiently managing large volumes of time-series data. The banking, financial services, and insurance (BFSI) sector is undergoing a data revolution driven by the exponential growth of time-series data. This data, which captures trends and changes over time, is invaluable for everything from understanding customer behavior to managing risk and making investment decisions. As a result, the demand for robust and scalable time series databases (TSDBs) is skyrocketing in the BFSI sector.

Back in the day, when electronic trading really took off, that's when the story of Time Series Databases (TSDBs) in banking, financial services, and insurance (BFSI) really began. To keep up with the speed, firms needed to grab and analyze data super fast. At first, financial institutions built their own TSDBs – custom jobs tailored just for them. But now, things are different! With cloud computing and big data becoming huge, we've got a whole new breed of off-the-shelf TSDBs. They're easier on the wallet, can grow with your needs, and aren't as complicated to work with. Think about itthe BFSI world pumps out tons of time-stamped data from trades, market shifts, what customers do, and even how the systems run. Regular relational databases just can't hack it; they get bogged down trying to manage it all. That's why TSDBs are vital for storing, finding, and digging into all that data.

Regulations like Basel III and IFRS 17 necessitate comprehensive data storage and analysis capabilities. TSDBs facilitate efficient recordkeeping, risk management, and compliance reporting for BFSI institutions. Timely insights into market trends, customer behavior, and fraud detection are crucial for competitive advantage. TSDBs enable real-time data capture, analysis, and prediction, powering AI-driven applications for personalized banking, fraud prevention, and dynamic risk management.

Global Time Series Databases (TSDB) Software For BFSI Sector MarketSegmentation Analysis

The Global Time Series Databases (TSDB) Software for BFSI Sector Market is Segmented on the basis of Product, Application, End-Users, and Geography.

Time Series Databases (TSDB) Software For BFSI Sector Market, By Product

  • Cloud Based
  • On-Premises

To Get a Summarized Market Report By Product-

Based on Product, the market is segmented into Cloud Based, and On-Premises. On-Premises accounted for the largest market share of 55.21% in 2022, with a market value of USD 58.94 Million, and is projected to grow at a CAGR of 6.18% during the forecast period.

Time Series Databases (TSDB) Software For BFSI Sector Market, By Application

  • Large Enterprises
  • SMEs

To Get a Summarized Market Report By Application-

Based on Application, the market is segmented into Large Enterprises, and SMEs. Large Enterprises accounted for the largest market share of 73.47% in 2022, with a market Value of USD 78.43 Million and is projected to grow at the highest CAGR of 11.29% during the forecast period.

Time Series Databases (TSDB) Software For BFSI Sector Market, By End-Users

  • Data Analyst
  • Data Scientist
  • Asset Managers/ Investment Managers
  • Others

Based on End-Users, the market is segmented into Data Analyst, Data Scientist, Asset Managers/ Investment Managers, and Others. Data Analyst accounted for the largest market share of 41.99% in 2022, with a market value of USD 44.82 Million, and is projected to grow at the highest CAGR of 11.81% during the forecast period.

Time Series Databases (TSDB) Software For BFSI Sector Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

Based on the Geography, the Global Time Series Databases (TSDB) Software For BFSI Sector Market is classified into North America, Europe, Asia Pacific, Latin America, and Middle East and Africa. Europe accounted for the largest market share of 37.54% in 2022, with a market Value of USD 40.07 Million and is projected to grow at a CAGR of 9.89% during the forecast period.

Key Players

The Global Time Series Databases (TSDB) Software For BFSI Sector Market is highly fragmented with the presence of a large number of players in the Market. The major players in the market are Influxdata, Trendalyze, Datastax, Amazon Web Services, Prometheus, Quasardb, Timescale Inc., KX, Actian X, Axibase Time Series Database, Databricks, SenX, TileDB-Inc, QuestDB, OneTick, and others. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with Coating Type benchmarking and SWOT analysis.

Report Scope

REPORT ATTRIBUTESDETAILS
Study Period

2020-2030

Base Year

2023

Forecast Period

2024-2030

Historical Period

2020-2022

Unit

Value (USD Million)

Key Companies Profiled

Influxdata, Trendalyze, Datastax, Amazon Web Services, Prometheus, Quasardb, Timescale Inc., KX.

Segments Covered

By Product, By Application, By End-Users, and By Geography.

Customization Scope

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