Autoscaling software dynamically allocates or deallocates computing resources based on application needs. Such software can automatically expand resources when traffic is high and shrink resources when traffic is low. IT administrators use autoscaling software to ensure the availability of cloud systems by adding more computing resources when needed and automatically decommissioning instances when capacity needs decrease, optimizing costs.

Autoscaling has some of the capabilities of cloud infrastructure monitoring software in that it continuously monitors the system to check resource usage. However, in addition to monitoring, autoscaling software can also increase or decrease capacity allocations. It also has overlapping functionality with load balancing software, a tool that distributes traffic to healthy server instances to ensure continued availability. Load balancing and autoscaling software work together to manage resources efficiently. Autoscaling software provides new instances, and load balancing software can provide connections to them.

The global Auto Scaling Software market size is projected to grow from US$ million in 2024 to US$ million in 2030; it is expected to grow at a CAGR of % from 2024 to 2030.

ReportPrime's newest research report, the “Auto Scaling Software Industry Forecast” looks at past sales and reviews total world Auto Scaling Software sales in 2022, providing a comprehensive analysis by region and market sector of projected Auto Scaling Software sales for 2023 through 2029. With Auto Scaling Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Auto Scaling Software industry.

This Insight Report provides a comprehensive analysis of the global Auto Scaling Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Auto Scaling Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Auto Scaling Software market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Auto Scaling Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Auto Scaling Software.

United States market for Auto Scaling Software is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

China market for Auto Scaling Software is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

Europe market for Auto Scaling Software is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

Global key Auto Scaling Software players cover:

• Google
• AWS
• CAST AI
• Pepperdata
• Xosphere

In terms of revenue, the global two largest companies occupied for a share nearly % in 2023.

This report presents a comprehensive overview, market shares, and growth opportunities of Auto Scaling Software market by product type, application, key players and key regions and countries.

Segmentation by Type:

• Cloud-based
• On-premise

Segmentation by Application:

• Large Enterprises
• SMEs

This report also splits the market by region:

1. Americas
   • United States
   • Canada
   • Mexico
   • Brazil
2. APAC
   • China
   • Japan
   • Korea
   • Southeast Asia
   • India
   • Australia
3. Europe
   • Germany
   • France
   • UK
   • Italy
   • Russia
4. Middle East & Africa
   • Egypt
   • South Africa
   • Israel
   • Turkey
   • GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration:

• Google
• AWS
• CAST AI
• Pepperdata
• Xosphere
• Avi Networks
• Alibaba Cloud
• UbiOps
• VANDIS
• Mphasis