Introduction
Serverless computing is a cloud-computing execution model in which the cloud provider runs the server, and dynamically allocates machine resources to compute containers as demanded by the customer. Serverless computing is a form of utility computing.
In serverless computing, the customer does not need to purchase, provision, or manage any servers. The customer pays only for the computing time used. This pricing model can help reduce costs for customers who use infrequent or intermittent computing resources.
The term "serverless" can be misleading because there are still servers involved in running the customer's code. The customer just doesn't need to manage them. Serverless Computing is sometimes called Function as a Service (FaaS).
Serverless computing is a cloud-computing execution model in which the cloud provider runs the server, and dynamically allocates machine resources to the customer's application as required. A serverless computing platform allows customers to upload their code, and the platform automatically executes it in response to events.
Serverless computing platforms are typically used for event-driven applications, such as web or mobile applications that process user requests or interactions. These types of applications are typically stateless, meaning that each user interaction is independent of any other.
The benefits of serverless computing include:
1) Reduced operational costs: Serverless computing can help reduce operational costs because customers only pay for the compute resources they use, and don't have to pay for idle capacity.
2) Increased scalability: Serverless platforms can automatically scale up or down in response to changes in demand, so customers don't have to provision capacity in advance. This can help save money and improve efficiency.
3) Improved agility: Serverless computing can help improve agility because customers can deploy new features and updates more quickly, without having to provision or manage servers.
4) Reduced time to market: The reduced operational costs and increased scalability of serverless computing can help reduce the time to market for new products and features.
The global serverless computing services market is expected to grow at a CAGR of 21.71% during the forecast period (2022-2029). The major drivers for this market growth are the increasing demand for cloud-based applications and services, and the need for reduced IT infrastructure costs.
Serverless computing is a cloud-computing execution model in which the cloud provider runs the server, and dynamically allocates machine resources to run the code, based on the incoming request traffic. In this model, there is no need for the customer to provision or manage any servers. This allows businesses to focus on their core business functions and reduces their IT infrastructure costs.
The major vendors in the global serverless computing services market are Amazon Web Services (AWS), Google Cloud Platform (GCP), IBM, Microsoft Azure, and Oracle.
Report Includes
An overview of the global Serverless Computing Services market, and related technologies and developments. Analyses of global market trends, with historical data from 2018, 2019, and 2020 estimates and projections of CAGRs through 2029. It also includes breakdowns of the overall Serverless Computing Services market along with various segments, and by geographic region. Analysis of the stakeholder value chain in the Serverless Computing Services market and comprehensive profiles of leading companies in the industry
Report Scope
The report forecasts the size of the Serverless Computing Services market for components from 2022 through 2029
The Executive Summary provides a snapshot of key findings of the report. The introduction chapter includes research scope, market segmentation, research methodology, and definitions and assumptions. It involves extreme rigorous scientific methods, tools and techniques to estimate the market size. Exhaustive secondary research is being carried out to collect information related to the market, the parent market, and the peer market. Primary research is undertaken to validate the assumptions, findings, and sizing with the industry experts professionals across the value chain of the market. Both top-down and bottom-up approaches are employed to estimate the complete market size.
The chapter on market dynamics includes market drivers, restraints, and opportunities which helps familiarise with market potential and upcoming opportunities. The chapter on key insights includes emerging trends from major countries, latest technological advancement, regulatory landscape, SWOT analysis, and porters five forces analysis. This chapter provides a detailed insights of market which derives the market trends, changing phase of investments, scope of profit potential, and helps to take appropriate business decisions. The chapter on competitive analysis includes profiling of leading companies in the global market to map the leading companies and their focus of interest in the market.
After deriving the market size from the market size estimation process, the total market has been split into several segments and sub-segments. To complete the overall market engineering process and arrive at the exact statistics for all segments and sub-segments, the data triangulation and market breakdown procedures is being used. The data triangulation is carried out by studying various factors and trends from demand and supply perspectives.
Segmentation Analysis:
The major factor driving the growth of this market is the increasing adoption of cloud-based services among small and medium enterprises (SMEs).
Serverless computing is a cost-effective and scalable solution for SMEs as they do not need to invest in hardware or software infrastructure. In addition, serverless computing enables SMEs to focus on their core business processes, as they do not need to worry about managing the underlying infrastructure.
The growing number of digital natives is another key factor fueling the growth of the global serverless computing services market. Digital natives are individuals who have grown up with technology and are comfortable using it in their everyday lives. They are also more likely to demand instant gratification and expect things to happen in real-time. Serverless computing satisfies these needs by providing instant scalability and faster execution times
Global Serverless Computing Services market Competitive Analysis:
Key players in the Global Serverless Computing Services market are Alibaba Cloud, Amazon Web Services Inc., CA Technologies, Google LLC, and IBM Corporation, Microsoft Corporation, Oracle Corporation, Dynatrace, Fiorano Software Inc, Joyent Inc, ModuBiz Ltd, NTT Data Corporation, Rackspace Inc, TIBCO Software Inc, and Twistlock Inc among other players.
*All our reports are customizable as per customer requirements
This study forecasts revenue and volume growth at global, regional, and country levels from 2018 to 2029. Global Serverless Computing Services market is distributed on the basis of below mentioned segments:
Global Serverless Computing Services market, By types:
Serverless computing is a cloud-computing execution model in which the cloud provider runs the server, and dynamically allocates machine resources to compute containers as demanded by the customer. Serverless computing is a form of utility computing.
In serverless computing, the customer does not need to purchase, provision, or manage any servers. The customer pays only for the computing time used. This pricing model can help reduce costs for customers who use infrequent or intermittent computing resources.
The term "serverless" can be misleading because there are still servers involved in running the customer's code. The customer just doesn't need to manage them. Serverless Computing is sometimes called Function as a Service (FaaS).
Serverless computing is a cloud-computing execution model in which the cloud provider runs the server, and dynamically allocates machine resources to the customer's application as required. A serverless computing platform allows customers to upload their code, and the platform automatically executes it in response to events.
Serverless computing platforms are typically used for event-driven applications, such as web or mobile applications that process user requests or interactions. These types of applications are typically stateless, meaning that each user interaction is independent of any other.
The benefits of serverless computing include:
1) Reduced operational costs: Serverless computing can help reduce operational costs because customers only pay for the compute resources they use, and don't have to pay for idle capacity.
2) Increased scalability: Serverless platforms can automatically scale up or down in response to changes in demand, so customers don't have to provision capacity in advance. This can help save money and improve efficiency.
3) Improved agility: Serverless computing can help improve agility because customers can deploy new features and updates more quickly, without having to provision or manage servers.
4) Reduced time to market: The reduced operational costs and increased scalability of serverless computing can help reduce the time to market for new products and features.
The global serverless computing services market is expected to grow at a CAGR of 21.71% during the forecast period (2022-2029). The major drivers for this market growth are the increasing demand for cloud-based applications and services, and the need for reduced IT infrastructure costs.
Serverless computing is a cloud-computing execution model in which the cloud provider runs the server, and dynamically allocates machine resources to run the code, based on the incoming request traffic. In this model, there is no need for the customer to provision or manage any servers. This allows businesses to focus on their core business functions and reduces their IT infrastructure costs.
The major vendors in the global serverless computing services market are Amazon Web Services (AWS), Google Cloud Platform (GCP), IBM, Microsoft Azure, and Oracle.
Report Includes
An overview of the global Serverless Computing Services market, and related technologies and developments. Analyses of global market trends, with historical data from 2018, 2019, and 2020 estimates and projections of CAGRs through 2029. It also includes breakdowns of the overall Serverless Computing Services market along with various segments, and by geographic region. Analysis of the stakeholder value chain in the Serverless Computing Services market and comprehensive profiles of leading companies in the industry
Report Scope
The report forecasts the size of the Serverless Computing Services market for components from 2022 through 2029
The Executive Summary provides a snapshot of key findings of the report. The introduction chapter includes research scope, market segmentation, research methodology, and definitions and assumptions. It involves extreme rigorous scientific methods, tools and techniques to estimate the market size. Exhaustive secondary research is being carried out to collect information related to the market, the parent market, and the peer market. Primary research is undertaken to validate the assumptions, findings, and sizing with the industry experts professionals across the value chain of the market. Both top-down and bottom-up approaches are employed to estimate the complete market size.
The chapter on market dynamics includes market drivers, restraints, and opportunities which helps familiarise with market potential and upcoming opportunities. The chapter on key insights includes emerging trends from major countries, latest technological advancement, regulatory landscape, SWOT analysis, and porters five forces analysis. This chapter provides a detailed insights of market which derives the market trends, changing phase of investments, scope of profit potential, and helps to take appropriate business decisions. The chapter on competitive analysis includes profiling of leading companies in the global market to map the leading companies and their focus of interest in the market.
After deriving the market size from the market size estimation process, the total market has been split into several segments and sub-segments. To complete the overall market engineering process and arrive at the exact statistics for all segments and sub-segments, the data triangulation and market breakdown procedures is being used. The data triangulation is carried out by studying various factors and trends from demand and supply perspectives.
Segmentation Analysis:
The major factor driving the growth of this market is the increasing adoption of cloud-based services among small and medium enterprises (SMEs).
Serverless computing is a cost-effective and scalable solution for SMEs as they do not need to invest in hardware or software infrastructure. In addition, serverless computing enables SMEs to focus on their core business processes, as they do not need to worry about managing the underlying infrastructure.
The growing number of digital natives is another key factor fueling the growth of the global serverless computing services market. Digital natives are individuals who have grown up with technology and are comfortable using it in their everyday lives. They are also more likely to demand instant gratification and expect things to happen in real-time. Serverless computing satisfies these needs by providing instant scalability and faster execution times
Global Serverless Computing Services market Competitive Analysis:
Key players in the Global Serverless Computing Services market are Alibaba Cloud, Amazon Web Services Inc., CA Technologies, Google LLC, and IBM Corporation, Microsoft Corporation, Oracle Corporation, Dynatrace, Fiorano Software Inc, Joyent Inc, ModuBiz Ltd, NTT Data Corporation, Rackspace Inc, TIBCO Software Inc, and Twistlock Inc among other players.
*All our reports are customizable as per customer requirements
This study forecasts revenue and volume growth at global, regional, and country levels from 2018 to 2029. Global Serverless Computing Services market is distributed on the basis of below mentioned segments:
Global Serverless Computing Services market, By types:
- Amazon Platform
- Google Platform
- Microsoft Platform
- Other
- Personal
- Small Enterprises
- Middle Enterprises
- Large Enterprises
- North America
- US
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- Japan
- China
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Brazil
- Saudi Arabia
- UAE
- Rest of LAMEA
SERVERLESS COMPUTING SERVICES MARKET STUDY GLOBAL MARKET ANALYSIS, INSIGHTS AND FORECAST, 2020-2029
1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
2. Executive Summary
3. Market Dynamics
- 3.1. Market Drivers
- 3.2. Market Restraints
- 3.3. Market Opportunities
4. Key Insights
- 4.1. Key Emerging Trends – For Major Countries
- 4.2. Latest Technological Advancement
- 4.3. Regulatory Landscape
- 4.4. Industry SWOT Analysis
- 4.5. Porters Five Forces Analysis
5. Global Serverless Computing Services Market Analysis (USD Billion), Insights and Forecast, 2018-2029
- 5.1. Key Findings / Summary
- 5.2. Market Analysis, Insights and Forecast – By Segment 1
- 5.2.1. Sub-Segment 1
- 5.2.2. Sub-Segment 2
- 5.3. Market Analysis, Insights and Forecast – By Segment 2
- 5.3.1. Sub-Segment 1
- 5.3.2. Sub-Segment 2
- 5.3.3. Sub-Segment 3
- 5.3.4. Others
- 5.4. Market Analysis, Insights and Forecast – By Segment 3
- 5.4.1. Sub-Segment 1
- 5.4.2. Sub-Segment 2
- 5.4.3. Sub-Segment 3
- 5.4.4. Others
- 5.5. Market Analysis, Insights and Forecast – By Region
- 5.5.1. North America
- 5.5.2. Latin America
- 5.5.3. Europe
- 5.5.4. Asia Pacific
- 5.5.5. Middle East and Africa
6. North America Serverless Computing Services Market Analysis (USD Billion), Insights and Forecast, 2018-2029
- 6.1. Key Findings / Summary
- 6.2. Market Analysis, Insights and Forecast – By Segment 1
- 6.2.1. Sub-Segment 1
- 6.2.2. Sub-Segment 2
- 6.3. Market Analysis, Insights and Forecast – By Segment 2
- 6.3.1. Sub-Segment 1
- 6.3.2. Sub-Segment 2
- 6.3.3. Sub-Segment 3
- 6.3.4. Others
- 6.4. Market Analysis, Insights and Forecast – By Segment 3
- 6.4.1. Sub-Segment 1
- 6.4.2. Sub-Segment 2
- 6.4.3. Sub-Segment 3
- 6.4.4. Others
- 6.5. Market Analysis, Insights and Forecast – By Country
- 6.5.1. U.S.
- 6.5.2. Canada
7. Latin America Serverless Computing Services Market Analysis (USD Billion), Insights and Forecast, 2018-2029
- 7.1. Key Findings / Summary
- 7.2. Market Analysis, Insights and Forecast – By Segment 1
- 7.2.1. Sub-Segment 1
- 7.2.2. Sub-Segment 2
- 7.3. Market Analysis, Insights and Forecast – By Segment 2
- 7.3.1. Sub-Segment 1
- 7.3.2. Sub-Segment 2
- 7.3.3. Sub-Segment 3
- 7.3.4. Others
- 7.4. Market Analysis, Insights and Forecast – By Segment 3
- 7.4.1. Sub-Segment 1
- 7.4.2. Sub-Segment 2
- 7.4.3. Sub-Segment 3
- 7.4.4. Others
- 7.5. Insights and Forecast – By Country
- 7.5.1. Brazil
- 7.5.2. Mexico
- 7.5.3. Rest of Latin America
8. Europe Serverless Computing Services Market Analysis (USD Billion), Insights and Forecast, 2018-2029
- 8.1. Key Findings / Summary
- 8.2. Market Analysis, Insights and Forecast – By Segment 1
- 8.2.1. Sub-Segment 1
- 8.2.2. Sub-Segment 2
- 8.3. Market Analysis, Insights and Forecast – By Segment 2
- 8.3.1. Sub-Segment 1
- 8.3.2. Sub-Segment 2
- 8.3.3. Sub-Segment 3
- 8.3.4. Others
- 8.4. Market Analysis, Insights and Forecast – By Segment 3
- 8.4.1. Sub-Segment 1
- 8.4.2. Sub-Segment 2
- 8.4.3. Sub-Segment 3
- 8.4.4. Others
- 8.5. Market Analysis, Insights and Forecast – By Country
- 8.5.1. UK
- 8.5.2. Germany
- 8.5.3. France
- 8.5.4. Italy
- 8.5.5. Spain
- 8.5.6. Russia
- 8.5.7. Rest of Europe
9. Asia Pacific Serverless Computing Services Market Analysis (USD Billion), Insights and Forecast, 2018-2029
- 9.1. Key Findings / Summary
- 9.2. Market Analysis, Insights and Forecast – By Segment 1
- 9.2.1. Sub-Segment 1
- 9.2.2. Sub-Segment 2
- 9.3. Market Analysis, Insights and Forecast – By Segment 2
- 9.3.1. Sub-Segment 1
- 9.3.2. Sub-Segment 2
- 9.3.3. Sub-Segment 3
- 9.3.4. Others
- 9.4. Market Analysis, Insights and Forecast – By Segment 3
- 9.4.1. Sub-Segment 1
- 9.4.2. Sub-Segment 2
- 9.4.3. Sub-Segment 3
- 9.4.4. Others
- 9.5. Market Analysis, Insights and Forecast – By Country
- 9.5.1. China
- 9.5.2. India
- 9.5.3. Japan
- 9.5.4. Australia
- 9.5.5. South East Asia
- 9.5.6. Rest of Asia Pacific
10. Middle East & Africa Serverless Computing Services Market Analysis (USD Billion), Insights and Forecast, 2018-2029
- 10.1. Key Findings / Summary
- 10.2. Market Analysis, Insights and Forecast – By Segment 1
- 10.2.1. Sub-Segment 1
- 10.2.2. Sub-Segment 2
- 10.3. Market Analysis, Insights and Forecast – By Segment 2
- 10.3.1. Sub-Segment 1
- 10.3.2. Sub-Segment 2
- 10.3.3. Sub-Segment 3
- 10.3.4. Others
- 10.4. Market Analysis, Insights and Forecast – By Segment 3
- 10.4.1. Sub-Segment 1
- 10.4.2. Sub-Segment 2
- 10.4.3. Sub-Segment 3
- 10.4.4. Others
- 10.5. Market Analysis, Insights and Forecast – By Country
- 10.5.1. GCC
- 10.5.2. South Africa
- 10.5.3. Rest of Middle East & Africa
11. Competitive Analysis
- 11.1. Company Market Share Analysis, 2018
- 11.2. Key Industry Developments
- 11.3. Company Profile
- 11.3.1. Company 1
- 11.3.1.1. Business Overview
- 11.3.1.2. Segment 1 & Service Offering
- 11.3.1.3. Overall Revenue
- 11.3.1.4. Geographic Presence
- 11.3.1.5. Recent Development
- 11.3.2. Company 2
- 11.3.3. Company 3
- 11.3.4. Company 4
- 11.3.5. Company 5
- 11.3.6. Company 6
- 11.3.7. Company 7
- 11.3.8. Company 8
- 11.3.9. Company 9
- 11.3.10. Company 10
- 11.3.11. Company 11
- 11.3.12. Company 12
- 11.3.1. Company 1
Research Process
Data Library Research are conducted by industry experts who offer insight on industry structure, market segmentations technology assessment and competitive landscape (CL), and penetration, as well as on emerging trends. Their analysis is based on primary interviews (~ 80%) and secondary research (~ 20%) as well as years of professional expertise in their respective industries. Adding to this, by analysing historical trends and current market positions, our analysts predict where the market will be headed for the next five years. Furthermore, the varying trends of segment & categories geographically presented are also studied and the estimated based on the primary & secondary research.
In this particular report from the supply side Data Library Research has conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and SOFT) of the companies that active & prominent as well as the midsized organization
FIGURE 1: DLR RESEARH PROCESS
Extensive primary research was conducted to gain a deeper insight of the market and industry performance. The analysis is based on both primary and secondary research as well as years of professional expertise in the respective industries.
In addition to analysing current and historical trends, our analysts predict where the market is headed over the next five years.
It varies by segment for these categories geographically presented in the list of market tables. Speaking about this particular report we have conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and many more) of the major players active in the market.
Secondary ResearchSecondary research was mainly used to collect and identify information useful for the extensive, technical, market-oriented, and Friend’s study of the Global Extra Neutral Alcohol. It was also used to obtain key information about major players, market classification and segmentation according to the industry trends, geographical markets, and developments related to the market and technology perspectives. For this study, analysts have gathered information from various credible sources, such as annual reports, sec filings, journals, white papers, SOFT presentations, and company web sites.
Market Size EstimationBoth, top-down and bottom-up approaches were used to estimate and validate the size of the Global market and to estimate the size of various other dependent submarkets in the overall Extra Neutral Alcohol. The key players in the market were identified through secondary research and their market contributions in the respective geographies were determined through primary and secondary research.
Forecast Model
