Business Intelligence Software - Asia

  • Asia
  • Revenue in the Business Intelligence Software market is projected to reach US$4.77bn in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 8.33%, resulting in a market volume of US$6.57bn by 2028.
  • The average Spend per Employee in the Business Intelligence Software market is projected to reach US$6.02 in 2024.
  • In global comparison, most revenue will be generated in the United States (US$13,790.00m in 2024).

Key regions: Germany, United States, Canada, South Korea, United Kingdom

 
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Analyst Opinion

The demand for Business Intelligence (BI) software in Asia has been steadily increasing over the years.

Customer preferences:
One of the key reasons for this growth is the increasing adoption of cloud-based BI solutions. Organizations in Asia are increasingly moving their operations to the cloud, and BI is no exception. Cloud-based BI solutions provide several advantages such as scalability, flexibility, and cost-effectiveness, which are highly valued by Asian businesses. Additionally, there is a growing demand for self-service BI tools that allow business users to access and analyze data without the need for IT intervention.

Trends in the market:
The BI software market in Asia is witnessing several interesting trends. For instance, countries such as China, Japan, and South Korea are leading the way in terms of BI adoption. These countries have a well-developed IT infrastructure and a large number of businesses that are keen to leverage BI to gain a competitive advantage. In contrast, countries such as India and Indonesia are still in the early stages of BI adoption, but are expected to witness significant growth in the coming years.Another trend in the market is the increasing use of predictive analytics. Asian businesses are realizing the value of predictive analytics in enabling them to make data-driven decisions. Predictive analytics tools help businesses to identify patterns and trends in their data, and make accurate predictions about future outcomes. This is particularly relevant in industries such as finance, healthcare, and retail, where accurate forecasting can make a significant difference to the bottom line.

Local special circumstances:
Local factors also play a role in shaping the BI software market in Asia. For instance, the regulatory environment in countries such as China and India can be complex and challenging, which can impact the adoption of BI solutions. Additionally, there are cultural factors at play, such as the preference for local vendors in certain countries. For example, in Japan, there is a strong preference for domestic vendors, which can make it challenging for international BI vendors to gain a foothold in the market.

Underlying macroeconomic factors:
Finally, macroeconomic factors such as GDP growth, population demographics, and technological advancements also impact the BI software market in Asia. For instance, countries with high GDP growth rates such as China and India are expected to witness significant growth in the BI market. Similarly, the increasing use of mobile devices and the internet is driving the adoption of BI solutions that are optimized for mobile devices. In conclusion, the BI software market in Asia is witnessing significant growth, driven by factors such as the adoption of cloud-based solutions, the increasing use of predictive analytics, and local factors such as regulatory environments and cultural preferences. As the market continues to evolve, it will be interesting to see how these trends and factors continue to shape the BI landscape in Asia.

Methodology

Data coverage:

The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the allocation to the country where the money was spent at manufacturer price level (excluding VAT).

Modeling approach / Market size:

The segment size is determined through a top-down approach. We use financial statements such as annual reports, quarterly earnings, and expert opinions to analyze the markets. To estimate the segment size for each country individually, we use relevant key market indicators and data from country-specific industry associations such as GDP, level of digitization, GDP sector composition, and observed level of software piracy.

Forecasts:

We use a variety of forecasting techniques, for instance, advanced statistical methods, depending on the behavior of the relevant segment. The main drivers are the GDP and the level of digitization.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level.

Overview

  • Revenue
  • Key Players
  • Analyst Opinion
  • Global Comparison
  • Methodology
  • Key Market Indicators
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