According to the report, The Application of Time Series Analysis in Predicting Future Software Defects is one of the primary growth factors for the market. The increasingly fast-paced business environment with continuous changes in market scenarios. This needs automated technology to provide past insights as well as help in future predictions in less time with fewer errors is also expected to contribute significantly to the Time Series Analysis Software market. Overall, Large Scale Enterprise applications of Time Series Analysis Software, and the growing awareness of them, is what makes this segment of the industry important to its overall growth. New players are beginning to enter the market and established companies have been changing their business models – a trend that will continue in the future.

AMA’s Analyst on the Global Time Series Analysis Software Market identified that the demand is rising in many different parts of the world due to "The Growing Business Competition Around the Developing Counties will Boost the Time Series Analysis Software Market". Furthermore, some recent industry insights like "On 18th April 2019, TrendMiner NV, a Software AG company and provider of the leading self-service advanced analytics software, announced the release of their second software update of 2019, TrendMiner 2019.R2. This release introduces DashHub, a completely new dashboard and reporting module that provides actionable, visual representation of operational performance data. In addition to DashHub, the 2019.R2 release also includes many new features and enhancements based on user feedback. DashHub – Actionable Storytelling with Time-series Data. TrendMiner enables process and asset experts to analyze, monitor and predict operational performance through trend analysis of time-series data." is constantly making the industry dynamic. One of the challenges that industry facing is "Regulatory Compliance with Time Series Analysis Software"

The report provides an in-depth analysis and forecast about the industry covering the following key features:
o Industry outlook including current and future market trends, drivers, restraints, and emerging technologies
o Analyses the Global Time Series Analysis Software market according to Type, Application, and regions
o Analyzes the top 10 players in terms of market reach, business strategy, and business focus
o Provides stakeholders’ insights and key drivers & trends of the market

Market Size Estimation
In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the Time Series Analysis Software market and other related sub-markets covered in the study.

o Key & emerging players in the Time Series Analysis Software market have been observed through secondary research.
o The industry’s supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes.
o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation
The overall Time Series Analysis Software market size is calculated using market estimation process, the Time Series Analysis Software market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global Time Series Analysis Software market size has been validated using both top-down and bottom-up approaches.