Time Series Intelligence Software Market 2022-2030 Future Prospects

A latest report from Absolute Markets Insights covers insights into the global Time Series Intelligence Software market. This comprehensive report offers insights into the market, models and drivers of business growth. Also includes Time Series Intelligence Software market share, sales volume and education charts. Research analysts have combined important and additional information, such as commitments from market leaders, into a well-crafted report. This report is an essential insight into strategies and information and is primarily aimed at business leaders. The main objective of this Time Series Intelligence Software report is to provide industry knowledge and help our clients achieve natural growth in their respective fields. The Time Series Intelligence Software report also shows a new uptrend that includes market conditions and market forecast 2022-2030.

Read Detailed Index of full Research Study @ https://www.absolutemarketsinsights.com/reports/Global-Time-Series-Intelligence-Software-Market-2019-2027-342?rp

Some of the major players operating in the global Time Series Intelligence Software market include: Anodot Ltd., Axibase Corporation, Datapred SA, Microsoft Corporation, Seeq Corporation, SenX S.A.S., Shapelets, Trendalyze, Inc., TrendMiner amongst others.

The global time series intelligence software market revenue stood at US$ 420.7 Million in 2022 and is expected to reach US$ 1,981.4 Million by the end of 2030, growing at a CAGR of 17.7%.

The competitive landscape of the market study contains a broader analysis of the regions including North America, Europe, Asia-Pacific, Middle East and Africa, Latin America, which are expected to capture the essence of the market in its broadest category. The list encompasses significant players who manage the sector based on the system’s overall production capabilities, environmental contributions, appropriate channels, and territorial proximity through a system of primary and secondary research methodologies followed by an in-house analytical model. Furthermore, the generated income and a generalized market share for the market is presented with the help of graphs, charts and tables.

Furthermore, the report also contains important collaborations, mergers and acquisitions, key market trends and business policies are evaluated. The study contains primary and secondary information pertaining to the Time Series Intelligence Software Market in terms of its global status, market size, growth forecasts, trends, segments, and a detailed forecast.

Key insights from the report:

  • The report provides key statistics on the market status of Time Series Intelligence Software Manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
  • The report provides a basic overview of the industry, including its definition, applications and manufacturing technology.
  • The report features the company profile, product specifications, capacity, production value and market share 2022-2030 for the top vendors.
  • The total market is further divided by company, by country and by application/type for the analysis of the competitive landscape.
  • The report then estimates the 2022-2030 market development trends of the P2P Loans industry.
  • Analysis of upstream raw materials, downstream demand and current market dynamics is also performed.
  • The report makes some important proposals for a new project of Time Series Intelligence Software Market before evaluating its feasibility.

Covid-19 cumulative impact:

This study presents insights into COVID-19 on consumer behavior and changes in demand, purchasing patterns, supply chain reorganization, dynamics of market forces, and substantial government involvement. The new research provides insights, analysis, estimates and predictions in light of the effect of COVID-19 on markets. The Time Series Intelligence Software Market report provides a solid observation on the prominent players in terms of strategic analysis, micro and macro market trends and opportunities, pricing trends, and a generalized overview of the market. The Time Series Intelligence Software Market is a detailed study packed with primary and secondary market factors, market share, leading segments and a proper geographic analysis.

Key questions answered in this report:

  • What will the market size and growth rate be in 2030?
  • What are the key drivers of the global market?
  • What are the key market trends impacting the growth of the global market?
  • What are the market growth challenges?
  • Who are the key vendors in the global market?
  • What are the global market opportunities and challenges for sellers?
  • What are the key findings of the global five-point analysis of the Time Series Intelligence Software market?

Business Intelligence (BI) is the use of applications and practices to collect, integrate, analyze and present raw information. Times series intelligence is a technique under the BI umbrella. Time series data is a set of analytical information, such as industrial process parameters or business metrics, collected in correlation with time. Analyzing time series data gives performance patterns essential for critical decision making in economic forecasting, budget analysis, financial market analysis, inventory management and others. The digital trend has transformed the rigorous manual tasks for analyzing huge data sets to computer software assisted process. Time series intelligence 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 intelligence software to analyze huge data sets and produce results at a faster rate, with reduced human error. Thus, such factors are influencing the growth of global time series intelligence software market.

On the basis of component, the global time series intelligence software market is segmented into solution and services offered by the major players in this market. The solutions offered either come as a stand-alone software or in an integrated business intelligence suite. Solutions segment led the market with 70.84% in 2018 and is expected to hold 68.15% in 2027 with a CAGR of 17.2% from 2019 to 2027. Advent of more efficient software solutions, utilizing state of the art technologies, coupled with the growing awareness about business intelligence methods has fostered the adoption of time series intelligence solutions across organizations. For instance, Daimler AG uses machine learning powered time series forecasting tool called, ‘AutoML’ which automates the process of selecting relevant features in time series data. Integrated solutions are projected to hold majority of the share, with around 63.62% in 2027. The services segment, is expected to grow with comparatively higher CAGR of 18.8% over the forecast period. The growing popularity of cloud based solutions is expected to influence the services segment with increased requirement of services such as data center services, integration services and consultation service amongst others.

The time series intelligence software can be either deployed on a web based platform or a cloud based platform. Cloud based segment is leading with 63.59% share of global time series intelligence software market in 2018. Cloud based time series intelligence software allows users to access software applications that run on shared computing resources such as processing power, memory, and disk storage. The server-less approach of cloud based applications overcomes the challenges in scaling and enables data professional to work flexibly from remote locations. Thus, major players in the time series intelligence software market have launched their cloud based solutions. For instance, ABB Ability platform utilizes Microsoft Azure Time Series Insights, a cloud based time series intelligence tool of Microsoft, for storing and analyzing IoT data sets. Thus, advantages of cloud based solutions such as reduced infrastructure cost and faster real-time insights will boost the global time series intelligence software market over the forecast period.

The time series intelligence software has four major applications including data exploration & visual anomaly detection, operational analysis, advanced analytics and others. On the basis of application, data exploration & visual anomaly detection segment is leading the time series intelligence software market with 46.19% of share in 2018. The technological revolution has transformed conventional time series intelligence software with state-of-the-art technologies such as artificial intelligence. For instance, Tensormake Corporation, USA based startup, has introduced automated time series forecasting tool named oneclick.ai. This tool is powered with deep learning to solve complex tasks quickly with more than 90% accuracy.

On the basis of end users, data scientists segment is leading the time series intelligence software market with 44.26% of share in 2018. The modern age time series software has inculcated futuristic tools which has simplified analyzing and drawing insights from time series database. This has led to greater adoption of time series intelligence software by data scientists and is thus propelling the market growth globally.

North America region is leading with 40.43% in 2018. The recent progress made by North America based companies in autonomous vehicle technology fueled by the IoT has generated huge amount of data in recent years. Also, the increasing number of smart device users powered by IoT has further added to the amount of data generation in the region. These combined factors are contributing towards the growth of time series intelligence software market influencer in North America.

Global Time Series Intelligence Software Market Segmentation:

Global Time Series Intelligence Software Market, By Component (Solution {Integrated, Standalone}, Services); By Platform (Web Based, Cloud Based); By Application (Data Exploration & Visual Anomaly Detection, Operational Analysis, Advanced Analytics, Others); By End User (Data Analysts, Data Scientists, Others); By Region (U.S., Canada, Mexico, Rest Of North America, France, The UK, Spain, Germany, Italy, Nordic Countries, Benelux Union, Rest Of Europe, China, Japan, India, New Zealand, Australia, South Korea, Southeast Asia, Rest Of Asia Pacific, Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest Of Middle East & Africa, Brazil, Argentina, Rest Of Latin America) – Global Insights, Growth, Size, Comparative Analysis, Trends And Forecast, 2022 – 2030

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