Global Time Series Analysis Software Market Size By Product (Cloud-Based, On-Premise), By Application (Large Enterprises, Small and Medium Size Enterprises), By Geographic Scope And Forecast

Time Series Analysis Software Market Size And Forecast

Time Series Analysis Software Market size was valued at USD 1.8 Billion in 2024 and is projected to reach USD 4.7 Billion by 2032, growing at a CAGR of 10.5% during the forecast period 2026-2032.

Extensive use of time series analysis and predictive analysis in the supply chain management, healthcare, stock market, and manufacturing industry is driving the Global Time Series Analysis Software Market. The Global Time Series Analysis Software 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 Analysis Software Market Definition

Time series analysis is one of the powerful analysis techniques. It is a statistical technique; this technique deals with time-series data in order to do trend analysis. Time series analysis is used by the business head to make important decisions, such as load forecasting, business forecasting, financial forecasting, and stock market analysis, and so on. In time-series data, a sequence of large numbers of data is taken at successive equally spaced points in time. Analyzing these large numbers of data manually would take a long time, to analyze time-series data efficiently in a shorter time business heads take the help of various time series analysis software.

Time series analysis software helps in extracting significant business insights and trends from the database which stores information related to business operations. Organizations are largely deploying time series analysis software to analyze huge data sets and produce results at a faster rate with reduce human error. Analyzing time-series data gives performance patterns essential for critical decision-making in economic forecasting, budget analysis, financial market analysis, inventory management, and others. There are two main goals of time series analysis: identifying the nature of the phenomenon represented by the sequence of observations, and forecasting (predicting future values of the time series variable).

Global Time Series Analysis Software Market Overview

Extensive use of time series analysis and predictive analysis in the supply chain management, healthcare, stock market, and manufacturing industry is also driving the global market. In addition, the industry 4.0 revolution is driving the global market. Now, machine learning algorithms and artificial neural networks are used for time series analysis to forecast the trend.

Furthermore, the recent developments in big data analytics, cloud computing, social networks, natural language processing (NLP), and machine learning had a significant impact on the market. Further, in the pandemic situation, many country's governments are taking the help of time series analysis technique to determine the spread of the infection, also they are using it to take important decisions, such as how long a lockdown should be, numbers of the requirement of the test-kits, numbers of the requirement of the ventilators, numbers of the requirement the isolation wards, and others.

However, the high subscription cost for the time series analysis software is restraining the growth of the market. For instance, a Tableau license costs $999 for a desktop personal with annual maintenance, $1,999 for a desktop professional with annual maintenance. SAS software costs $8,700 per year for the most basic license only. Furthermore, the complexity of this time series analysis software is also one of the restraining factors of the global market. Besides, the adoption of the ML-based platform in various sectors is an opportunity for future market growth. Much ML-based time series analysis software is used by the business head to take important decisions, such as requirements of the raw materials, forecasting of sales, and others.

Time Series Analysis Software Market, By Product

• Cloud-Based
• On-Premise

Based on Product, The market is bifurcated into Cloud-Based and On-Premise. The Cloud-Based segment is expected to inflate the market growth. Cloud-Based time series software allows users software applications that run on shared computing resources such as processing power, memory, and disk storage.

Time Series Analysis Software Market, By Application

• Large Enterprises
• Small and Medium Size Enterprises

Based on Application, The market is bifurcated into Large Enterprises, And Small and Medium Size Enterprises. Large Enterprises are anticipated to become the fastest-growing market in the forecast duration due to extensive use of time series analysis software. Large enterprises have a huge amount of historical data, in order to use these large amounts of data efficiently, large enterprises are using time series analysis software to find the hidden pattern in these data.

Time Series Analysis Software Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the world
• On the basis of Geography, The Global Time Series Analysis Software Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America is expected to hold the largest market share in the forecast period. The presence of a large number of manufacturing firms, research institutes, and the presence of the major market players of time series analysis software in the North American region is fueling the growth of the market in North America.

Key Players

The "Global Time Series Analysis Software Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Microsoft Corp, Anodot Ltd, Google LLC, Trendalyze Inc, Seeq Corp, Software AG, Influx Data Operations UK, Ltd, Tableau Software LLC, SAS Institute, And IBM Corp. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.