Time Series Analysis Software Market 2019-2025

Global Time Series Analysis Software Market Size, Share & Trends Analysis Report, by Type (Cloud-Based and On-Premises), by End-User (Large Enterprise, Small and Medium-Sized Enterprises (SMEs), and Education Institute) and Forecast 2019-2025

The global time series analysis software market is estimated to grow at a significant CAGR during the forecast period. 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 time series analysis software market. High subscription cost and the complexity of these time series analysis software is also one of the restraining factors of the global time series analysis software market. 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.

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The global time series analysis software market is segmented based on the type and end-user. Based on the type, the market is segmented into cloud-based and on-premises time series analysis software. Based on the end-user, the market is segmented into large enterprises, SMEs, and education institute. Geographically, the global time series analysis software market is segmented based on the region including North America, Europe, Asia-Pacific, and the Rest of the world (RoW).
The major players that are providing time series analysis software include Microsoft Corp., Anodot Ltd., Google LLC., Trendalyze Inc., Seeq Corp, Software AG., InfluxData Operations UK, Ltd., Tableau Software Llc., SAS Institute, IBM Comparand others. The strategies adopted by the market players include joint venture and product launches, to increase their competitiveness across a global scale. For instance, in March 2020, Fujitsu Limited, Fujitsu Laboratories Ltd., France's research institute Inria developed an AI-based time series analysis platform, which can automatically create AI models capable of detecting anomalies in time-series data taken from IoT devices and other sources.
RESEARCH METHODOLOGY
The market study of the global time series analysis software market is incorporated by extensive primary and secondary research conducted by a research team. Secondary research has been conducted to refine the available data to break down the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior, and macroeconomic factors. Numbers extracted from secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings the authenticity of our reports.
Secondary Sources Include-
• Reports of companies involved in the market
• Authentic Public Databases
• Whitepapers such as research papers and news blogs
• Company websites and their product catalog
The report is intended for providers, suppliers, and distributors of fiberglass, for overall market analysis and competitive analysis. The report provides an in-depth analysis of the market size and will serve as a source for 360-degree analysis of the market.
Market Segmentation-
• Global Time Series Analysis Software Market by Type
• Global Time Series Analysis Software Market by End-User
The Report Covers
• Comprehensive research methodology of the global time series analysis software market.
• This report also includes a detailed and extensive market overview with key analyst insights.
• An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
• Insights about market determinants which are stimulating the global time series analysis software market.
• Detailed and extensive market segments with regional distribution of forecasted revenues.
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Mumbai, Writing, Time Series Analysis Software Market 2019-2025