In-Memory Analytics Market Value to Forecast USD 11.86 Billion by 2026

The report estimates that the global market for in-memory analytics generated $1.956 billion in revenue in 2018 and will grow at a CAGR of 25.40% from 2019 to 2026 to reach $11.858 billion.

The global in-memory analytics market is expanding as a result of real-time data analytics, an increase in data volume, and the popularity of self-service business analytics (BI) solutions. However, the market's expansion is hampered by a lack of understanding about in-memory analytics across numerous industries. But, improved security and scalability with cloud-based analytics and a rise in SME use would open up new prospects in the future years.

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The demand for In-Memory Analytics Market has been growing steadily in recent years, and is expected to continue to do so in the future. In-memory analytics refers to the use of RAM or other forms of volatile memory to perform real-time data analysis, which enables faster and more efficient processing of large data sets. The growing demand for faster data processing and analysis is one of the key factors driving the growth of the in-memory analytics market. As businesses generate and collect more data than ever before, the need for real-time analysis and insights has become increasingly important. In-memory analytics provides a way to achieve this by enabling faster and more efficient processing of large data sets.

Another factor driving the growth of the in-memory analytics market is the increasing adoption of cloud computing and big data technologies. In-memory analytics can be integrated with these technologies to provide faster and more efficient processing of large data sets, making it an attractive option for businesses looking to leverage these technologies for competitive advantage. Overall, the demand for in-memory analytics is expected to continue to grow as businesses seek to unlock the full value of their data and gain insights in real-time.

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The in-memory analytics market is experiencing several trends that are shaping its growth and evolution. Here are some of the key trends:

1. Adoption of cloud-based in-memory analytics: With the rise of cloud computing, businesses are increasingly adopting cloud-based in-memory analytics solutions. Cloud-based solutions offer several advantages, including scalability, ease of deployment, and lower costs.

2. Growth of real-time analytics: In-memory analytics is becoming increasingly important for real-time analytics. Businesses are looking for ways to gain insights and take action on their data as quickly as possible, and in-memory analytics provides a way to achieve this.

3. Increasing use of artificial intelligence and machine learning: In-memory analytics is being used in conjunction with AI and machine learning to enable predictive analytics. This is allowing businesses to gain insights and make decisions based on data-driven predictions.

4. Expansion of in-memory computing platforms: In-memory computing platforms are evolving to support a wider range of use cases, including high-performance computing, data streaming, and IoT analytics.

5. Growing demand for in-memory databases: In-memory databases are becoming increasingly popular for transactional processing and analytics. This is because they can provide faster access to data, which is critical for real-time analytics and decision-making.

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With more than one-third of the global in-memory analytics market in 2018, North America had the largest market share by region in terms of revenue. It is predicted that North America will continue to occupy the top spot in terms of revenue by 2026. This is a result of its widespread use in enterprises for efficient data collection, precise analytics, and better decision-making. However, due to a boom in digitalization in developing nations like China and India, Asia-Pacific is predicted to grow at the highest CAGR of 26.9% from 2019 to 2026.

Leading market players -

• Amazon Web Services, Inc.
• SAP SE
• Oracle Corporation
• SAS Institute Inc.
• International Business Corporation
• Hitachi, Ltd.
• Software AG
• MicroStrategy Incorporated
• Qlik Technologies
• Kognito Ltd.

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