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Global Auto Scaling Market Research Report 2024

Global Auto Scaling Market Research Report 2024

Publishing Date : Sep, 2023

License Type :
 

Report Code : 1786144

No of Pages : 93

Synopsis
Auto Scaling (AS for short) service provides customers with cloud server resource pools that can be scaled on demand to help customers flexibly respond to short-term high-concurrency scenarios such as events, promotions, and flash sales.

When business needs increase, AS will automatically expand cloud server instances or increase computing specifications for customers to ensure business capabilities; when business needs decline, AS will automatically reduce cloud server instances or reduce computing specifications for customers to save resource costs. Intelligent and flexible scaling services enable customers to maintain an appropriate amount of resources and provide healthy services no matter whether their business is in a fluctuating period or a stable period.
Global Auto Scaling market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Auto Scaling market research.
Key companies engaged in the Auto Scaling industry include AWS, Avi Networks, Google Cloud, CAST AI, Huawei Cloud, Tencent Cloud, Chinatelecom Cloud, China Unicom and Alibaba Cloud, etc. Among those companies, the top 3 players guaranteed % supply worldwide in 2022.
When refers to consumption region, % value of Auto Scaling were sold to North America, Europe and Asia Pacific in 2022. Moreover, China, plays a key role in the whole Auto Scaling market and estimated to attract more attentions from industry insiders and investors.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Auto Scaling market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
AWS
Avi Networks
Google Cloud
CAST AI
Huawei Cloud
Tencent Cloud
Chinatelecom Cloud
China Unicom
Alibaba Cloud
Kingsoft Cloud
unicloud
Baidu Online Network Technology
Segment by Service Type
Scale Up and Down as Planned
Alarm Triggered Expansion and Contraction
Other
Segment by Application
E-Commerce
Game
Live Video
Big Data Computing
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The Auto Scaling report covers below items:
Chapter 1: Product Basic Information (Definition, Service Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Service Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Index
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Service Type
1.2.1 Global Auto Scaling Market Size Growth Rate by Service Type: 2018 VS 2022 VS 2029
1.2.2 Scale Up and Down as Planned
1.2.3 Alarm Triggered Expansion and Contraction
1.2.4 Other
1.3 Market by Application
1.3.1 Global Auto Scaling Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 E-Commerce
1.3.3 Game
1.3.4 Live Video
1.3.5 Big Data Computing
1.3.6 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Auto Scaling Market Perspective (2018-2029)
2.2 Auto Scaling Growth Trends by Region
2.2.1 Global Auto Scaling Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Auto Scaling Historic Market Size by Region (2018-2023)
2.2.3 Auto Scaling Forecasted Market Size by Region (2024-2029)
2.3 Auto Scaling Market Dynamics
2.3.1 Auto Scaling Industry Trends
2.3.2 Auto Scaling Market Drivers
2.3.3 Auto Scaling Market Challenges
2.3.4 Auto Scaling Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Auto Scaling Players by Revenue
3.1.1 Global Top Auto Scaling Players by Revenue (2018-2023)
3.1.2 Global Auto Scaling Revenue Market Share by Players (2018-2023)
3.2 Global Auto Scaling Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Auto Scaling Revenue
3.4 Global Auto Scaling Market Concentration Ratio
3.4.1 Global Auto Scaling Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Auto Scaling Revenue in 2022
3.5 Auto Scaling Key Players Head office and Area Served
3.6 Key Players Auto Scaling Product Solution and Service
3.7 Date of Enter into Auto Scaling Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Auto Scaling Breakdown Data by Service Type
4.1 Global Auto Scaling Historic Market Size by Service Type (2018-2023)
4.2 Global Auto Scaling Forecasted Market Size by Service Type (2024-2029)
5 Auto Scaling Breakdown Data by Application
5.1 Global Auto Scaling Historic Market Size by Application (2018-2023)
5.2 Global Auto Scaling Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Auto Scaling Market Size (2018-2029)
6.2 North America Auto Scaling Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Auto Scaling Market Size by Country (2018-2023)
6.4 North America Auto Scaling Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Auto Scaling Market Size (2018-2029)
7.2 Europe Auto Scaling Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Auto Scaling Market Size by Country (2018-2023)
7.4 Europe Auto Scaling Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Auto Scaling Market Size (2018-2029)
8.2 Asia-Pacific Auto Scaling Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Auto Scaling Market Size by Region (2018-2023)
8.4 Asia-Pacific Auto Scaling Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Auto Scaling Market Size (2018-2029)
9.2 Latin America Auto Scaling Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Auto Scaling Market Size by Country (2018-2023)
9.4 Latin America Auto Scaling Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Auto Scaling Market Size (2018-2029)
10.2 Middle East & Africa Auto Scaling Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Auto Scaling Market Size by Country (2018-2023)
10.4 Middle East & Africa Auto Scaling Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 AWS
11.1.1 AWS Company Detail
11.1.2 AWS Business Overview
11.1.3 AWS Auto Scaling Introduction
11.1.4 AWS Revenue in Auto Scaling Business (2018-2023)
11.1.5 AWS Recent Development
11.2 Avi Networks
11.2.1 Avi Networks Company Detail
11.2.2 Avi Networks Business Overview
11.2.3 Avi Networks Auto Scaling Introduction
11.2.4 Avi Networks Revenue in Auto Scaling Business (2018-2023)
11.2.5 Avi Networks Recent Development
11.3 Google Cloud
11.3.1 Google Cloud Company Detail
11.3.2 Google Cloud Business Overview
11.3.3 Google Cloud Auto Scaling Introduction
11.3.4 Google Cloud Revenue in Auto Scaling Business (2018-2023)
11.3.5 Google Cloud Recent Development
11.4 CAST AI
11.4.1 CAST AI Company Detail
11.4.2 CAST AI Business Overview
11.4.3 CAST AI Auto Scaling Introduction
11.4.4 CAST AI Revenue in Auto Scaling Business (2018-2023)
11.4.5 CAST AI Recent Development
11.5 Huawei Cloud
11.5.1 Huawei Cloud Company Detail
11.5.2 Huawei Cloud Business Overview
11.5.3 Huawei Cloud Auto Scaling Introduction
11.5.4 Huawei Cloud Revenue in Auto Scaling Business (2018-2023)
11.5.5 Huawei Cloud Recent Development
11.6 Tencent Cloud
11.6.1 Tencent Cloud Company Detail
11.6.2 Tencent Cloud Business Overview
11.6.3 Tencent Cloud Auto Scaling Introduction
11.6.4 Tencent Cloud Revenue in Auto Scaling Business (2018-2023)
11.6.5 Tencent Cloud Recent Development
11.7 Chinatelecom Cloud
11.7.1 Chinatelecom Cloud Company Detail
11.7.2 Chinatelecom Cloud Business Overview
11.7.3 Chinatelecom Cloud Auto Scaling Introduction
11.7.4 Chinatelecom Cloud Revenue in Auto Scaling Business (2018-2023)
11.7.5 Chinatelecom Cloud Recent Development
11.8 China Unicom
11.8.1 China Unicom Company Detail
11.8.2 China Unicom Business Overview
11.8.3 China Unicom Auto Scaling Introduction
11.8.4 China Unicom Revenue in Auto Scaling Business (2018-2023)
11.8.5 China Unicom Recent Development
11.9 Alibaba Cloud
11.9.1 Alibaba Cloud Company Detail
11.9.2 Alibaba Cloud Business Overview
11.9.3 Alibaba Cloud Auto Scaling Introduction
11.9.4 Alibaba Cloud Revenue in Auto Scaling Business (2018-2023)
11.9.5 Alibaba Cloud Recent Development
11.10 Kingsoft Cloud
11.10.1 Kingsoft Cloud Company Detail
11.10.2 Kingsoft Cloud Business Overview
11.10.3 Kingsoft Cloud Auto Scaling Introduction
11.10.4 Kingsoft Cloud Revenue in Auto Scaling Business (2018-2023)
11.10.5 Kingsoft Cloud Recent Development
11.11 unicloud
11.11.1 unicloud Company Detail
11.11.2 unicloud Business Overview
11.11.3 unicloud Auto Scaling Introduction
11.11.4 unicloud Revenue in Auto Scaling Business (2018-2023)
11.11.5 unicloud Recent Development
11.12 Baidu Online Network Technology
11.12.1 Baidu Online Network Technology Company Detail
11.12.2 Baidu Online Network Technology Business Overview
11.12.3 Baidu Online Network Technology Auto Scaling Introduction
11.12.4 Baidu Online Network Technology Revenue in Auto Scaling Business (2018-2023)
11.12.5 Baidu Online Network Technology Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Published By : QY Research

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