Global Time Series Intelligence Software Market Research Report 2023-Competitive Analysis, Status and Outlook by Type, Downstream Industry, and Geography, Forecast to 2029

Global Time Series Intelligence Software Market Research Report 2023-Competitive Analysis, Status and Outlook by Type, Downstream Industry, and Geography, Forecast to 2029

Market Overview:

The latest research study on the global Time Series Intelligence Software market finds that the global Time Series Intelligence Software market reached a value of USD 745.8 million in 2022. It’s expected that the market will achieve USD 1586.0 million by 2028, exhibiting a CAGR of 13.4% during the forecast period.

Market Drivers Description The surge in data processing demand boosts Time Series Intelligence Software market demand

Examples of time series include everything from corporate business indicators (such as weekly sales) to stock prices, to sensor measurements, and monitoring of industrial processes. As the world becomes more and more connected, instruments and intelligent, sensors become ubiquitous, collecting thousands of measurement data every second, resulting in a large amount of data generated every day. For enterprises, data scientists, etc., in order to gain deep insights and make informed decisions from these time series, it is important to have the ability to store and manipulate it in an efficient manner. Time Series Intelligence Software provides this capability. By leveraging embedded machine learning, Time Series Intelligence Software can extract previously hidden insights (such as microtrends and anomalies) without the need to manually mine data, thereby saving business time and resources.

SMEs are not widely used

At present, Time Series Intelligence Software's two users are mainly concentrated in large enterprises, and the frequency of use in small and medium-sized enterprises is not high. On the one hand, due to factors such as price and cost of use, which restrict the use of SMEs, on the other hand, compared with large enterprises, SMEs' demand for demand is not strong.

Barriers to entry in the industry

In the past three years, there have been few major new entrants in the industry, and there are certain technical barriers in the industry. In addition, the current market is mainly occupied by Microsoft, Anodot, Google, and Trendalyze. Due to its advantages in capital and technology, it is difficult for new entrants to gain a foothold in the market in a short time.

Region Overview:

In 2022, the share of the Time Series Intelligence Software market in North America stood at 41.92%.

Company Overview:

Microsoft is one of the major players operating in the Time Series Intelligence Software market, holding a share of 16.56% in 2023.

Microsoft

Microsoft Corporation develops, manufactures, licenses, sells, and supports software products. The Company offers operating system software, server application software, business and consumer applications software, software development tools, and Internet and intranet software. Microsoft also develops video game consoles and digital music entertainment devices.

Anodot

Anodot Inc is a real time analytics and automated anomaly detection system that discovers outliers in vast amounts of data and turns them into valuable business insights. The company has two US patents for anomaly detection algorithms based on machine learning. According to the company, these algorithms are specifically designed to quickly identify anomalous sources in large data sets and perform root cause analysis.

Segmentation Overview:

The Cloud-based segment by type showed a value growth of 12.91% in 2022.

Application Overview:

In the Time Series Intelligence Software market, 48.69% of the total value was generated through the Data Scientists segment by application in 2022.

Key Companies in the global Time Series Intelligence Software market covered in Chapter 3:

Google
Trendalyze
Datapred
Warp 10
Amazon Forecast
Anodot
Shapelets
AxiBase Enterprise Reporter (AER)
Seeq
TrendMiner
Microsoft
Avora

In Chapter 4 and Chapter 14.2, on the basis of types, the Time Series Intelligence Software market from 2018 to 2029 is primarily split into:

Cloud-based
Web-based

In Chapter 5 and Chapter 14.3, on the basis of Downstream Industry, the Time Series Intelligence Software market from 2018 to 2029 covers:

Data Scientists
Data Analysts
Others

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2018-2029) of the following regions are covered in Chapter 8 to Chapter 14:

North America (United States, Canada)
Europe (Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden)
Asia Pacific (China, Japan, South Korea, Australia, India, Indonesia, Philippines, Malaysia)
Latin America (Brazil, Mexico, Argentina)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa)