Serverless Computing Market

Report Code TC 9169
Published in Sep, 2024, By MarketsandMarkets™
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Serverless Computing Market by Service Model (Function as a Service, Backend as a Service), Compute (Functions, Containers), Database (Relational, Non-relational), Storage, Application Integration, Monitoring & Security - Global Forecast to 2029

Overview

The serverless computing market is projected to grow from USD 21.9 billion in 2024 to USD 44.7 billion by 2029 at a (CAGR) of 15.3% during the forecast period. The serverless computing market is undergoing transformation due to many innovations. An important factor fueling expansion is the broad emphasis on digital transformation across various sectors. This change emphasizes the significance of serverless architectures for facilitating scalable and effective application development. Businesses are turning to serverless solutions to improve resource usage, obtain immediate insights, and align IT infrastructure with strategic goals. Another important factor is the increasing use of hybrid work settings, resulting in a higher need for cloud-native, serverless platforms that support smooth remote collaboration. This pattern is especially noticeable in industries such as manufacturing, construction, and information technology, where dispersed teams require flexible and scalable computing resources to be successful. Innovations in automation, machine learning, and artificial intelligence are driving significant progress in serverless computing. The performance of applications is being improved by AI-driven analytics and predictive algorithms, allowing for increased precision in forecasting demand, optimizing resources, and making real-time decisions. These technologies help organizations predict problems, make operations more efficient, and adjust resources effectively according to the demand. Automation within serverless environments decreases manual involvement by automating tasks such as resource provisioning, monitoring, and scaling, enabling developers to concentrate on developing and optimizing applications. Moreover, combining serverless computing with ERP systems and other business applications enhances data syncing and offers a holistic perspective on IT and business operations. These advancements are driving the serverless computing sector, helping businesses to quickly adjust to changing demands and stay active in a fast-moving digital environment.

Attractive Opportunities in the Serverless Computing Market

ASIA PACIFIC:

Asia Pacific is projected to grow at the highest CAGR during the forecast period. North America is estimated to account for the largest market share in 2024.

AI and machine learning are becoming more and more intertwined with serverless computing platforms, improving predictive analytics, automation, and real-time decision-making.

The movement towards prioritizing cloud-based strategies is leading to the use of serverless platforms that enable remote development, scalability, and fast deployment.

There is an increasing need for serverless computing solutions designed for industries such as IT & Telecom, BFSI, and Healthcare, meeting sector-specific needs for scalability, security, and compliance.

Nations like India, Brazil, and countries in Southeast Asia are experiencing a rise in the adoption of serverless computing, thanks to major digital transformation initiatives and improvements in infrastructure.

Global Serverless Computing Market Dynamics

Driver: Future of microservices lies in serverless and function-as-a-service

Microservices architectures make applications more accessible to scale and faster to develop, enabling innovation and accelerating time-to-market for new features. The on-demand compute resources and serverless architectures will strengthen. Better tooling for rapidly building and deploying microservices will eliminate the need for a significant upfront investment. The number of enterprises currently adopting microservices architecture is relatively low but is expected to increase. For instance, the primary platform provider in the serverless architecture market, AWS, provides a complete platform for microservices. The platform offers integrated building blocks that support any application architecture, regardless of scale and complexity. AWS Lambda is a serverless platform that helps run codes without provisioning or managing the servers. The significant advantages of microservices include better fault isolation, ease of integration, simplification of the application development process, and improvement in overall IT efficiency.Microservice is more extensive and can do more than a function. A function is a relatively small code that performs only one action in response to an event. Depending on how developers have structured an application, a microservice may perform a single action or multiple actions, similar to a function. Considering this specific difference, microservices and serverless go hand in hand. Organizations often try to get most of the existing technologies to improve efficiency.

Restraint: Loss of control over infrastructure

Cloud Service Providers (CSPs) manage the underlying infrastructure in serverless computing, which means users have limited ability to customize or optimize the infrastructure to meet their specific needs. The services established by CSPs can restrict the flexibility of serverless components, potentially impacting their suitability for particular use cases. Additionally, multiple customers sharing the same serverless architecture may raise security concerns, as the shared environment could increase the risk of data exposure. However, CSPs are addressing these issues by offering serverless solutions within Virtual Private Networks (VPNs), which enhance security by isolating customers' resources and data. This approach helps mitigate potential vulnerabilities and ensures that serverless applications operate within a more secure and controlled environment. Despite these measures, users should remain aware of the limitations and security considerations associated with serverless computing in a multi-tenant cloud infrastructure.

 

Opportunity: Microservices-based deployment

One of the most crucial trends of this decade is the widespread adoption of containers. Though many do not see the direct connection between containers and serverless computing, it is one of the essential drivers of the new paradigm. Developers build these microservice components without knowing how the code is packed within the container to contribute to the overall application. A microservice-based application software is an assembly of multiple such containers that are orchestrated at runtime to deliver the expected functionality. One of the most mature environments of FaaS is AWS Lambda.Microservices architectures make applications more accessible to scale and faster to develop, enabling innovation and accelerating time-to-market for new features. The on-demand compute resources and serverless architectures will strengthen. Better tooling for rapidly building and deploying microservices will eliminate the need for a significant upfront investment. The number of enterprises currently adopting microservices architecture is relatively low but is expected to increase. For instance, the central platform provider in the serverless architecture market, AWS, provides a complete platform for microservices. The platform offers integrated building blocks that support any application architecture, regardless of scale and complexity. AWS Lambda is a serverless platform that helps run codes without provisioning or managing the servers. The significant advantages of microservices include better fault isolation, ease of integration, simplification of the application development process, and improvement in overall IT efficiency.

Challenge: Architectural and operational complexity

The application development platform has two widely used architectures: monolithic and microservice architecture. In the former model, the coding segment is complex, while in a microservice architecture, the complexity moves to the interconnection of individual functions. Architectural challenges include handling asynchronous communication, cascading failures, data consistency problems, discovery, and authentication of services.With a microservices approach, the user does not run a single service but dozens or hundreds of services. Operational challenges include providing resources in a scalable architecture, managing several microservices, monitoring microservices, and integrating platform services. Furthermore, tracking and debugging interactions across the whole system and dealing with the lack of standards and heterogeneous environments are the other significant operational complexities that must be considered for the smooth flow of the execution environment.

Global Serverless Computing Market Ecosystem Analysis

Based on the service model segment, the Function-as-a-Service (FaaS) will hold the largest market share during the forecast period. Function-as-a-Service (FaaS) is a vital element of the serverless computing industry, enabling developers to deploy and execute specific functions in reaction to events without the need to handle the server infrastructure below. FaaS provides essential advantages in stream and batch processing, real-time analytics, and microservices design by offering an adaptable and scalable platform. It also facilitates automation and integration, allowing smooth coordination of tasks and workflows among various systems. With organizations focusing on agility, FaaS has become essential in modern application development, decreasing time-to-market and operational expenses. The increasing demand for scalable, event-triggered solutions makes FaaS crucial for advancing serverless computing.

Based on vertical, healthcare & life sciences will grow at the highest CAGR during the forecast period.

In the healthcare & life sciences sector, serverless computing is changing the way services are delivered and managed, offering unparalleled flexibility and efficiency. This technology holds particular importance in crucial fields such as telemedicine, patient data management, and genomic data processing. Serverless designs simplify the integration and scaling of services, allowing healthcare providers to effectively handle vast data quantities and promptly introduce new features. Implementing serverless computing can allow healthcare organizations to improve patient care quality, handle sensitive health data more efficiently, and accelerate the analysis of complicated genomic information. This method lowers infrastructure expenses, allows for immediate processing and scalability, and backs advancements in patient outcomes and research capabilities.

NORTH AMERICA Region Holds the Largest Share of the Serverless Computing Market

The US leads in serverless computing due to its advanced tech infrastructure, widespread use of cloud tech, and culture of innovation. In the US market, there is a significant focus on investing in digital transformation, where serverless computing is increasingly important in cloud strategies for many businesses. Prominent technology centers like Silicon Valley, Seattle, and New York City are embracing serverless technology to enhance scalability, save on costs, and quicken application development and deployment. The top cloud services like AWS, Microsoft Azure, and Google Cloud provide a wide range of serverless options for various industries in the US. The United States also profits from a strong digital infrastructure and favorable regulatory conditions, enabling the quick expansion and advancement of serverless computing. Moreover, the focus on technology-driven projects and digital innovation, along with a proficient IT workforce, also boosts the extensive utilization of serverless computing. With US businesses increasingly seeking adaptable and effective cloud options, the serverless computing market is expected to undergo steady growth due to ongoing technological improvements and increasing interest in flexible and cost-effective solutions.

Recent Developments of Serverless Computing Market industry

  • In May 2024, Google Cloud and MongoDB collaborated to enhance Gemini Code Assist, improving code suggestions for MongoDB users. This collaboration helps developers rapidly prototype and modernize applications by offering better insights and updates for MongoDB code and best practices. In March 2024, Cloudflare launched defensive AI, a tailored security solution designed to protect organizations against AI-driven threats. Defensive AI leverages unique traffic patterns to offer personalized defenses, safeguarding critical applications and networks from evolving risks as AI-enhanced attacks become more sophisticated. In January 2024, Alibaba Cloud introduced a serverless version of its Platform for AI (PAI)-Elastic Algorithm Service (EAS) to provide a cost-efficient model deployment and inference solution. Additionally, it has integrated its vector engine technology into products like Hologres, Elasticsearch, and OpenSearch, making large language models (LLMs) more accessible and enabling enterprises to build custom generative AI applications.
  • In November 2023, Amazon introduced three new serverless innovations to simplify database and analytics scaling for high-demand use cases. These include Amazon Aurora Limitless Database, which automatically scales beyond a single database's write limits; Amazon ElastiCache Serverless, enabling rapid, scalable cache creation without the need for infrastructure management; and Amazon Redshift Serverless, which leverages AI to predict workloads and optimize resource usage for better cost efficiency. These enhancements are built on AWS' serverless technology, making data management easier and allowing customers to focus on innovation instead of infrastructure management. In October 2023, Moody's Corporation and Google Cloud revealed a strategic collaboration to merge Moody's financial analysis skills with Google Cloud's sophisticated generative AI technologies. This partnership is intended to support Moody's clients and staff in leveraging large language models (LLMs) for acquiring fresh financial perspectives and summarizing financial information rapidly.

Key Market Players

KEY PLAYERS IN THE Serverless Computing Market INCLUDE

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Scope of the Report

Report Attribute Details
Market Size Available For Years 2019–2029
Base Year Considered 2023
Forecast Period 2024–2029
Forecast Units Value (USD Million/Billion)
Segments Covered Service Type, Service Model, Deployment Mode, Organization Size, Vertical, and Region
Regions Covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies Covered AWS (US), Microsoft (US), IBM (US), Google (US), Oracle (US), Alibaba Cloud (China), Tencent Cloud (China), Twilio (US), Cloudflare (US), MongoDB (US), Netlify (US), Fastly (US), Akamai (US), Digitalocean (US), Datadog (US), Vercel (US), Spot by NetApp (US), Elastic (US), VMware (US), Backendless (US), Faundb (US), Scaleway (US), 8Base (US), Supabase (US), and Appwrite (US).

Key Questions Addressed by the Report

What is Serverless Computing?
Serverless computing, a cloud-based model, enables developers to create and operate applications without the need to handle infrastructure. This method provides a centralized platform for users to deploy code, automatically scale applications, and manage resources with a pay-as-you-go model. Serverless computing enables instant collaboration and ongoing integration through its ability to update and deploy software effortlessly. It links to different enterprise systems using APIs, ensuring effective and efficient processes. Security is ensured by solid measures like encryption and access controls, while cloud-based options offer scalability and flexibility. Sophisticated monitoring and analytics tools provide an understanding of how applications perform and are utilized. Serverless computing improves operational efficiency, speeds up time-to-market, and aligns with business goals by eliminating server management and allowing for automatic scaling, ultimately fostering innovation and cutting organizational costs.
Which country was an early adopter of serverless computing solutions?
The US was one of the first to adopt serverless computing solutions.
Which are the key vendors exploring serverless computing solutions?
Some of the significant vendors of serverless computing solutions across the globe include AWS (US), Microsoft (US), IBM (US), Google (US), Oracle (US), Alibaba Cloud (China), Tencent Cloud (China), Twilio (US), Cloudflare (US), MongoDB (US), Netlify (US), Fastly (US), Akamai (US), Digitalocean (US), Datadog (US), Vercel (US), Spot by NetApp (US), Elastic (US), VMware (US), Backendless (US), Faundb (US), Scaleway (US), 8Base (US), Supabase (US), and Appwrite (US).
What is the total CAGR recorded for the serverless computing market from 2024 to 2029?
The serverless computing market is projected to record a CAGR of 15.3% from 2024 to 2029.
What is the projected market value of the serverless computing market?
The serverless computing market is projected to grow from USD 21.9 billion in 2024 to USD 44.7 billion by 2029 at a Compound Annual Growth Rate (CAGR) of 15.3% during the forecast period.
What are the significant trends in the serverless computing market?
There are multiple essential factors influencing the growth of the worldwide serverless computing market. Cloud-based serverless solutions are becoming more popular, providing adaptable, scalable resources and allowing users to access applications remotely from anywhere. AI and machine learning integration boost performance by automating scaling, predicting analytics, optimizing resources, improving efficiency, and reducing operational expenses. The need for smooth integration with various enterprise systems and services is growing, enabling seamless workflows across diverse business functions. Furthermore, there is an increasing emphasis on solid security protocols, such as encryption and access restrictions, to safeguard confidential information in serverless settings. User-friendly interfaces and accessibility on mobile devices are increasingly necessary for efficient control and surveillance of applications across all devices. Together, these patterns help drive the fast expansion and creativity of serverless computing, meeting the changing requirements of contemporary enterprises.

 

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Table Of Contents

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TITLE
PAGE NO
TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 27)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
    1.5 STAKEHOLDERS 
 
2 RESEARCH METHODOLOGY (Page No. - 32)
    2.1 RESEARCH APPROACH 
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION 
    2.3 MARKET SIZE ESTIMATION 
    2.4 MARKET FORECAST 
    2.5 RESEARCH ASSUMPTIONS 
    2.6 RESEARCH LIMITATIONS 
 
3 EXECUTIVE SUMMARY (Page No. - 45)
 
4 PREMIUM INSIGHTS (Page No. - 49)
    4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR PLAYERS IN SERVERLESS COMPUTING MARKET 
    4.2 MARKET, BY SERVICE TYPE, 2024 VS. 2029 
    4.3 MARKET, BY SERVICE MODEL, 2024 VS. 2029 
    4.4 MARKET, BY DEPLOYMENT MODEL, 2024 VS. 2029 
    4.5 MARKET, BY ORGANIZATION SIZE, 2024 VS. 2029 
    4.6 MARKET, BY VERTICAL, 2024 VS. 2029 
    4.7 MARKET, BY REGION, 2024 VS. 2029 
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 53)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           5.2.1 DRIVERS
                    5.2.1.1 Increasing technological advancements
                    5.2.1.2 Ongoing innovation in development tools and frameworks
                    5.2.1.3 Better fault isolation and ease of integration using microservices architectures
                    5.2.1.4 Shift from DevOps to serverless computing
           5.2.2 RESTRAINTS
                    5.2.2.1 Loss of control over infrastructure
                    5.2.2.2 Risk of vendor lock-in
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Microservice-based deployment
                    5.2.3.2 Serverless backends in mobile and web development
                    5.2.3.3 Increasing number of verticals utilizing distributed workloads
           5.2.4 CHALLENGES
                    5.2.4.1 Issues with third-party services
                    5.2.4.2 Architectural and operational complexity
                    5.2.4.3 Cost-efficiency for long-running computation
    5.3 CASE STUDY ANALYSIS 
           5.3.1 PLEXURE USES AZURE SERVERLESS TECHNOLOGIES TO SUPPORT HIGH PERFORMANCE & MINIMUM LATENCY REQUIREMENTS
           5.3.2 AWS LAMBDA HELPED FINANCIAL ENGINES REDUCE ITS ADMINISTRATIVE BURDEN
           5.3.3 IROBOT USED AWS’ SERVICES TO CONTROL HEAVY TRAFFIC
           5.3.4 AWS HELPED NETFLIX IN ESTABLISHING SERVERLESS ARCHITECTURE
           5.3.5 SERVERLESS FRAMEWORK HELPED JOOT ACCELERATE DEVELOPMENT OF ITS SOCIAL MEDIA IMAGE OPTIMIZATION TOOL
    5.4 ECOSYSTEM ANALYSIS 
    5.5 SUPPLY CHAIN ANALYSIS 
    5.6 PRICING ANALYSIS 
           5.6.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOLUTION
           5.6.2 AVERAGE SELLING PRICE TREND, BY REGION
           5.6.3 AVERAGE SELLING PRICE TRENDS
    5.7 PATENT ANALYSIS 
    5.8 TECHNOLOGY ANALYSIS 
           5.8.1 KEY TECHNOLOGIES
                    5.8.1.1 Event-driven programming
                    5.8.1.2 Trigger-based tasks
                    5.8.1.3 Microservices
                    5.8.1.4 Runtime environments
                    5.8.1.5 Stateless computing
           5.8.2 COMPLEMENTARY TECHNOLOGIES
                    5.8.2.1 Asynchronous programming
                    5.8.2.2 RESTful APIs
                    5.8.2.3 DevOps
                    5.8.2.4 Auto-scaling
                    5.8.2.5 Infrastructure as Code (IaC)
           5.8.3 ADJACENT TECHNOLOGIES
                    5.8.3.1 Containerization
                    5.8.3.2 Kubernetes
                    5.8.3.3 Edge computing
                    5.8.3.4 Distributed tracing
                    5.8.3.5 Self-healing
    5.9 REGULATORY LANDSCAPE 
           5.9.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.9.2 REGULATIONS, BY REGION
                    5.9.2.1 North America
                    5.9.2.2 Europe
                    5.9.2.3 Asia Pacific
                    5.9.2.4 Middle East & South Africa
                    5.9.2.5 Latin America
           5.9.3 REGULATORY IMPLICATIONS AND INDUSTRY STANDARDS
                    5.9.3.1 General Data Protection Regulation (GDPR)
                    5.9.3.2 SEC Rule 17a-4
                    5.9.3.3 ISO/IEC 27001
                    5.9.3.4 System and Organization Controls 2 Type II Compliance
                    5.9.3.5 Financial Industry Regulatory Authority (FINRA)
                    5.9.3.6 Freedom of Information Act (FOIA)
                    5.9.3.7 Health Insurance Portability and Accountability Act (HIPAA)
    5.1 PORTER’S FIVE FORCES ANALYSIS 
           5.10.1 THREAT OF NEW ENTRANTS
           5.10.2 THREAT OF SUBSTITUTES
           5.10.3 BARGAINING POWER OF SUPPLIERS
           5.10.4 BARGAINING POWER OF BUYERS
           5.10.5 INTENSITY OF COMPETITIVE RIVALRY
    5.11 KEY CONFERENCES AND EVENTS IN 2024–2025 
    5.12 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 
    5.13 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS
           5.13.2 BUYING CRITERIA
    5.14 BUSINESS MODEL ANALYSIS 
    5.15 INVESTMENT AND FUNDING SCENARIO 
    5.16 IMPACT OF AI/GEN AI ON SERVERLESS COMPUTING MARKET 
           5.16.1 INDUSTRY TRENDS: USE CASES
                    5.16.1.1 Healthcare & life sciences industry
                    5.16.1.2 Retail industry
           5.16.2 TOP VENDORS ADAPTING TO GEN AI
                    5.16.2.1 AWS
                    5.16.2.2 Microsoft Azure
 
6 SERVERLESS COMPUTING MARKET, BY SERVICE TYPE (Page No. - 89)
    6.1 INTRODUCTION 
           6.1.1 SERVICE TYPE: MARKET DRIVERS
    6.2 COMPUTE 
           6.2.1 STREAMLINING CODE EXECUTION AND APPLICATION DEPLOYMENT WITH SERVERLESS FUNCTIONS AND CONTAINERS
           6.2.2 SERVERLESS FUNCTIONS
           6.2.3 SERVERLESS CONTAINERS
    6.3 SERVERLESS STORAGE 
           6.3.1 SCALABLE AND ON-DEMAND DATA STORAGE SOLUTIONS WITHOUT NEED FOR INFRASTRUCTURE MANAGEMENT
           6.3.2 OBJECT STORAGE
           6.3.3 BLOCK STORAGE
           6.3.4 FILE STORAGE
    6.4 SERVERLESS DATABASE 
           6.4.1 SERVERLESS DATABASE TO OFFER FULLY MANAGED, SCALABLE DATABASE SOLUTIONS THAT AUTOMATICALLY HANDLE INFRASTRUCTURE TASKS
           6.4.2 RELATIONAL DATABASES
           6.4.3 NON-RELATIONAL DATABASES
    6.5 APPLICATION INTEGRATION 
           6.5.1 SEAMLESS INTERACTION BETWEEN DISPARATE SYSTEMS AND APPLICATIONS USING APPLICATION INTEGRATION SERVICE
           6.5.2 EVENT-DRIVEN SERVICES
           6.5.3 MESSAGING SERVICES
           6.5.4 API MANAGEMENT
    6.6 MONITORING & SECURITY 
           6.6.1 SERVERLESS MONITORING TO PROVIDE REAL-TIME INSIGHTS INTO APPLICATION PERFORMANCE, RESOURCE UTILIZATION, AND OPERATIONAL METRICS
           6.6.2 SERVERLESS MONITORING
           6.6.3 SECURITY MANAGEMENT
    6.7 OTHER SERVICE TYPES 
 
7 SERVERLESS COMPUTING MARKET, BY SERVICE MODEL (Page No. - 101)
    7.1 INTRODUCTION 
           7.1.1 SERVICE MODEL: MARKET DRIVERS
    7.2 FUNCTION-AS-A-SERVICE 
           7.2.1 FAAS TO ENABLE DEPLOYMENT AND EXECUTION OF SPECIFIC FUNCTIONS IN REACTION TO EVENTS WITHOUT HANDLING SERVER INFRASTRUCTURE
           7.2.2 STREAM & BATCH PROCESSING
           7.2.3 REAL-TIME ANALYTICS
           7.2.4 MICROSERVICES ARCHITECTURE
           7.2.5 AUTOMATION & INTEGRATION
           7.2.6 OTHER FAAS MODELS
    7.3 BACKEND-AS-A-SERVICE 
           7.3.1 BACKEND-AS-A-SERVICE MODEL TO INCREASE FLEXIBILITY AND STREAMLINE BACKEND OPERATIONS IN SERVERLESS COMPUTING
           7.3.2 FILE STORAGE & MANAGEMENT
           7.3.3 USER AUTHENTICATION & MANAGEMENT
           7.3.4 DATABASE MANAGEMENT
           7.3.5 PUSH NOTIFICATIONS
           7.3.6 OTHER BAAS MODELS
 
8 SERVERLESS COMPUTING MARKET, BY DEPLOYMENT MODEL (Page No. - 108)
    8.1 INTRODUCTION 
           8.1.1 DEPLOYMENT MODEL: MARKET DRIVERS
    8.2 PUBLIC CLOUD 
           8.2.1 PUBLIC CLOUD DEPLOYMENT TO HELP IN QUICK DEPLOYMENT AND EXPANSION OF APPLICATIONS
    8.3 PRIVATE CLOUD 
           8.3.1 PRIVATE CLOUD TO CUSTOMIZE SERVERLESS ENVIRONMENTS WITH ENHANCED SECURITY AND INTEGRATION
    8.4 HYBRID CLOUD 
           8.4.1 HYBRID CLOUD MODEL TO OFFER BETTER DISASTER RECOVERY AND COMPLIANCE MANAGEMENT
 
9 SERVERLESS COMPUTING MARKET, BY ORGANIZATION SIZE (Page No. - 114)
    9.1 INTRODUCTION 
           9.1.1 ORGANIZATION SIZE: MARKET DRIVERS
    9.2 SMALL ENTERPRISES 
           9.2.1 SERVERLESS COMPUTING TO HELP REDUCE COSTS AND SCALE APPLICATIONS WITHOUT INFRASTRUCTURE HASSLES
    9.3 MEDIUM ENTERPRISES 
           9.3.1 SERVERLESS COMPUTING TO HANDLE FLUCTUATING WORKLOADS AND OPTIMIZE COSTS WITH RAPID DEPLOYMENT AND INTEGRATED SECURITY
    9.4 LARGE ENTERPRISES 
           9.4.1 SERVERLESS SOLUTIONS TO SCALE AND MANAGE HIGH-VOLUME OPERATIONS WITH MINIMAL INFRASTRUCTURE OVERHEAD
 
10 SERVERLESS COMPUTING MARKET, BY VERTICAL (Page No. - 120)
     10.1 INTRODUCTION 
             10.1.1 VERTICAL: MARKET DRIVERS
     10.2 IT & TELECOM 
             10.2.1 SERVERLESS COMPUTING TO OPTIMIZE OPERATIONS BY MINIMIZING INFRASTRUCTURE MANAGEMENT AND SCALING DYNAMICALLY
             10.2.2 IT & TELECOM: USE CASES
                       10.2.2.1 Network function virtualization
                       10.2.2.2 Real-time data processing
                       10.2.2.3 Content delivery networks (CDNs)
     10.3 BFSI 
             10.3.1 SERVERLESS COMPUTING TO ENHANCE OPERATIONAL EFFICIENCY, AGILITY, AND INNOVATION
             10.3.2 BFSI: USE CASES
                       10.3.2.1 Fraud detection
                       10.3.2.2 Payment processing
                       10.3.2.3 Customer data analytics
     10.4 RETAIL & CONSUMER GOODS 
             10.4.1 DYNAMIC SCALING OF ECOMMERCE PLATFORMS WITH SERVERLESS COMPUTING TO OPTIMIZE REAL-TIME TRAFFIC HANDLING DURING PEAK SALES
             10.4.2 RETAIL & CONSUMER GOODS: USE CASES
                       10.4.2.1 Personalized marketing
                       10.4.2.2 Inventory management
                       10.4.2.3 eCommerce platforms
     10.5 HEALTHCARE & LIFE SCIENCES 
             10.5.1 SERVERLESS ARCHITECTURES TO FACILITATE SEAMLESS INTEGRATION AND SCALING OF SERVICES
             10.5.2 HEALTHCARE & LIFE SCIENCES: USE CASES
                       10.5.2.1 Telemedicine
                       10.5.2.2 Patient data management
                       10.5.2.3 Genomic data processing
     10.6 GOVERNMENT & DEFENSE 
             10.6.1 SERVERLESS COMPUTING TO OPTIMIZE REAL-TIME COMMUNICATION AND RESOURCE MANAGEMENT IN DISASTER RESPONSE OPERATIONS
             10.6.2 GOVERNMENT & DEFENSE: USE CASES
                       10.6.2.1 Smart city initiatives
                       10.6.2.2 Citizen services portals
                       10.6.2.3 Disaster response coordination
     10.7 TRANSPORTATION & LOGISTICS 
             10.7.1 SERVERLESS COMPUTING TO OFFER SCALABLE AND COST-EFFECTIVE SOLUTIONS TAILORED TO COMPLEX LOGISTICS NEEDS
             10.7.2 TRANSPORTATION & LOGISTICS
                       10.7.2.1 Transportation & logistics: Use cases
                                   10.7.2.1.1 Fleet management
                                   10.7.2.1.2 Route optimization
                                   10.7.2.1.3 Shipment tracking
     10.8 MANUFACTURING 
             10.8.1 LEVERAGING SERVERLESS COMPUTING TO HELP IMPROVE PRODUCTIVITY, REDUCE DOWNTIME, AND MAINTAIN HIGH PRODUCT QUALITY STANDARDS
             10.8.2 MANUFACTURING: USE CASES
                       10.8.2.1 Predictive analytics
                       10.8.2.2 IoT integration
                       10.8.2.3 Quality control
     10.9 OTHER VERTICALS 
 
11 SERVERLESS COMPUTING MARKET, BY REGION (Page No. - 137)
     11.1 INTRODUCTION 
     11.2 NORTH AMERICA 
             11.2.1 NORTH AMERICA: MARKET DRIVERS
             11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
             11.2.3 US
                       11.2.3.1 Robust digital infrastructure and supportive regulatory environment to boost market
             11.2.4 CANADA
                       11.2.4.1 Cross-border trade and collaboration to accelerate adoption of serverless technologies
     11.3 EUROPE 
             11.3.1 EUROPE: MARKET DRIVERS
             11.3.2 EUROPE: MACROECONOMIC OUTLOOK
             11.3.3 UK
                       11.3.3.1 Advanced digital economy, strong technology sector, and proactive approach to cloud adoption to bolster market growth
             11.3.4 GERMANY
                       11.3.4.1 Strategic interest in bolstering digital autonomy and competitiveness on global scale to drive market
             11.3.5 FRANCE
                       11.3.5.1 Increasing adoption of innovative cloud solutions to propel market growth
             11.3.6 ITALY
                       11.3.6.1 Country's trade relations and supply chain dynamics to aid market growth
             11.3.7 REST OF EUROPE
     11.4 ASIA PACIFIC 
             11.4.1 ASIA PACIFIC: SERVERLESS COMPUTING MARKET DRIVERS
             11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
             11.4.3 CHINA
                       11.4.3.1 Spike in demand for enhanced scalability and reduced operational costs to drive market
             11.4.4 INDIA
                       11.4.4.1 Rapid digitization and government initiatives to fuel market growth
             11.4.5 JAPAN
                       11.4.5.1 Robust cloud infrastructure, supported by skilled IT workforce to boost market growth
             11.4.6 REST OF ASIA PACIFIC
     11.5 MIDDLE EAST & AFRICA 
             11.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
             11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
             11.5.3 GCC
                       11.5.3.1 Saudi Arabia
                                   11.5.3.1.1 Substantial investments in smart cities, data centers, and AI-driven solutions to accelerate market growth
                       11.5.3.2 UAE
                                   11.5.3.2.1 Government policies that promote digital transformation, AI adoption, and IoT integration to drive market
                       11.5.3.3 Rest of GCC countries
             11.5.4 SOUTH AFRICA
                       11.5.4.1 Growing digital economy and increasing cloud adoption to foster market growth
             11.5.5 REST OF MIDDLE EAST & AFRICA
     11.6 LATIN AMERICA 
             11.6.1 LATIN AMERICA: SERVERLESS COMPUTING MARKET DRIVERS
             11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
             11.6.3 BRAZIL
                       11.6.3.1 Significant global investment and strategic policy shifts to accelerate market growth
             11.6.4 MEXICO
                       11.6.4.1 Spike in demand for digital transformation across various sectors to bolster market growth
             11.6.5 REST OF LATIN AMERICA
 
12 COMPETITIVE LANDSCAPE (Page No. - 182)
     12.1 INTRODUCTION 
     12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 
     12.3 MARKET SHARE ANALYSIS 
     12.4 SERVERLESS COMPUTING MARKET: VENDOR BRAND/ PRODUCT COMPARISON 
             12.4.1 FUNCTION-AS-A-SERVICE
                       12.4.1.1 AWS Lambda
                       12.4.1.2 Azure Functions
                       12.4.1.3 Google Cloud Functions
                       12.4.1.4 IBM Cloud Functions
                       12.4.1.5 Oracle Cloud Functions
             12.4.2 BACKEND-AS-A-SERVICE
                       12.4.2.1 AWS DynamoDB
                       12.4.2.2 Azure Cosmos DB
                       12.4.2.3 Google Firestore
                       12.4.2.4 MongoDB
                       12.4.2.5 FaunaDB
     12.5 REVENUE ANALYSIS 
     12.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 
             12.6.1 STARS
             12.6.2 EMERGING LEADERS
             12.6.3 PERVASIVE PLAYERS
             12.6.4 PARTICIPANTS
             12.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
     12.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 
             12.7.1 PROGRESSIVE COMPANIES
             12.7.2 RESPONSIVE COMPANIES
             12.7.3 DYNAMIC COMPANIES
             12.7.4 STARTING BLOCKS
             12.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
                       12.7.5.1 Detailed list of key startups/SMEs
                       12.7.5.2 Competitive benchmarking of startups/SMEs
     12.8 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS 
     12.9 COMPETITIVE SCENARIO AND TRENDS 
             12.9.1 PRODUCT LAUNCHES & ENHANCEMENTS
             12.9.2 DEALS
 
13 COMPANY PROFILES (Page No. - 212)
     13.1 INTRODUCTION 
     13.2 MAJOR PLAYERS 
             13.2.1 AWS
                       13.2.1.1 Business overview
                       13.2.1.2 Products/Solutions/Services offered
                       13.2.1.3 Recent developments
                                   13.2.1.3.1 Product launches & enhancements
                       13.2.1.4 MnM view
                                   13.2.1.4.1 Right to win
                                   13.2.1.4.2 Strategic choices
                                   13.2.1.4.3 Weaknesses and competitive threats
             13.2.2 MICROSOFT
                       13.2.2.1 Business overview
                       13.2.2.2 Products/Solutions/Services offered
                       13.2.2.3 Recent developments
                                   13.2.2.3.1 Product launches & enhancements
                       13.2.2.4 MnM view
                                   13.2.2.4.1 Right to win
                                   13.2.2.4.2 Strategic choices
                                   13.2.2.4.3 Weaknesses and competitive threats
             13.2.3 IBM
                       13.2.3.1 Business overview
                       13.2.3.2 Products/Solutions/Services offered
                       13.2.3.3 Recent developments
                                   13.2.3.3.1 Product launches & enhancements
                       13.2.3.4 MnM view
                                   13.2.3.4.1 Right to win
                                   13.2.3.4.2 Strategic choices
                                   13.2.3.4.3 Weaknesses and competitive threats
             13.2.4 GOOGLE
                       13.2.4.1 Business overview
                       13.2.4.2 Products/Solutions/Services offered
                       13.2.4.3 Recent developments
                                   13.2.4.3.1 Product launches & enhancements
                                   13.2.4.3.2 Deals
                       13.2.4.4 MnM view
                                   13.2.4.4.1 Right to win
                                   13.2.4.4.2 Strategic choices
                                   13.2.4.4.3 Weaknesses and competitive threats
             13.2.5 ORACLE
                       13.2.5.1 Business overview
                       13.2.5.2 Products/Solutions/Services offered
                       13.2.5.3 Recent developments
                                   13.2.5.3.1 Product launches & enhancements
                       13.2.5.4 MnM view
                                   13.2.5.4.1 Right to win
                                   13.2.5.4.2 Strategic choices
                                   13.2.5.4.3 Weaknesses and competitive threats
             13.2.6 ALIBABA CLOUD
                       13.2.6.1 Business overview
                       13.2.6.2 Products/Solutions/Services offered
                       13.2.6.3 Recent developments
                                   13.2.6.3.1 Product launches & enhancements
             13.2.7 TENCENT CLOUD
                       13.2.7.1 Business overview
                       13.2.7.2 Products/Solutions/Services offered
             13.2.8 TWILIO
                       13.2.8.1 Business overview
                       13.2.8.2 Products/Solutions/Services offered
             13.2.9 CLOUDFLARE
                       13.2.9.1 Business overview
                       13.2.9.2 Products/Solutions/Services offered
                       13.2.9.3 Recent developments
                                   13.2.9.3.1 Product launches & enhancements
                                   13.2.9.3.2 Deals
               13.2.10 MONGODB
            13.2.10.1 Business overview
            13.2.10.2 Products/Solutions/Services offered
            13.2.10.3 Recent developments
                     13.2.10.3.1 Product launches & enhancements
                     13.2.10.3.2 Deals
                     13.2.10.3.3 Expansions
     13.3 OTHER PLAYERS 
             13.3.1 NETLIFY
             13.3.2 FASTLY
             13.3.3 AKAMAI
             13.3.4 DIGITALOCEAN
             13.3.5 DATADOG
             13.3.6 VERCEL
             13.3.7 SPOT BY NETAPP
             13.3.8 ELASTIC
             13.3.9 VMWARE
               13.3.10 BACKENDLESS
               13.3.11 FAUNADB
               13.3.12 SCALEWAY
               13.3.13 8BASE
               13.3.14 SUPABASE
               13.3.15 APPWRITE
 
14 ADJACENT AND RELATED MARKETS (Page No. - 269)
     14.1 INTRODUCTION 
             14.1.1 RELATED MARKETS
     14.2 CLOUD MOBILE BACKEND AS A SERVICE (BAAS) MARKET 
     14.3 SERVERLESS ARCHITECTURE MARKET 
 
15 APPENDIX (Page No. - 274)
     15.1 DISCUSSION GUIDE 
     15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     15.3 CUSTOMIZATION OPTIONS 
     15.4 RELATED REPORTS 
     15.5 AUTHOR DETAILS 
 
 
LIST OF TABLES (216 TABLES) 
 
TABLE 1 USD EXCHANGE RATES, 2018–2023
TABLE 2 FACTOR ANALYSIS
TABLE 3 INDICATIVE PRICING ANALYSIS OF SERVERLESS COMPUTING MARKET, BY SOLUTION
TABLE 4 PRICING ANALYSIS OF MARKET, BY REGION
TABLE 5 MARKET: AVERAGE PRICING LEVELS (USD)
TABLE 6 TOP PATENT APPLICANTS (US)
TABLE 7 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 8 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 9 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 10 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 11 PORTER’S FIVE FORCES' IMPACT ON MARKET
TABLE 12 SERVERLESS COMPUTING MARKET: KEY CONFERENCES AND EVENTS, 2024–2025
TABLE 13 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
TABLE 14 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
TABLE 15 MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION)
TABLE 16 MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
TABLE 17 COMPUTE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 18 COMPUTE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 19 SERVERLESS STORAGE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 20 SERVERLESS STORAGE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 21 SERVERLESS DATABASE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 22 SERVERLESS DATABASE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 23 APPLICATION INTEGRATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 24 APPLICATION INTEGRATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 25 MONITORING & SECURITY: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 26 MONITORING & SECURITY: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 27 OTHER SERVICE TYPES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 28 OTHER SERVICE TYPES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 29 SERVERLESS COMPUTING MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 30 MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 31 FAAS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 32 FAAS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 33 BAAS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 34 BAAS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 35 MARKET, BY DEPLOYMENT MODEL, 2019–2023 (USD MILLION)
TABLE 36 SERVERLESS COMPUTING MARKET, BY DEPLOYMENT MODEL, 2024–2029 (USD MILLION)
TABLE 37 PUBLIC CLOUD: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 38 PUBLIC CLOUD: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 39 PRIVATE CLOUD: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 40 PRIVATE CLOUD: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 41 HYBRID CLOUD: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 42 HYBRID CLOUD: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 43 MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
TABLE 44 MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
TABLE 45 SMALL ENTERPRISES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 46 SMALL ENTERPRISES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 47 MEDIUM ENTERPRISES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 48 MEDIUM ENTERPRISE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 49 LARGE ENTERPRISES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 50 LARGE ENTERPRISES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 51 SERVERLESS COMPUTING MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 52 MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 53 IT & TELECOM: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 54 IT & TELECOM: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 55 BFSI: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 56 BFSI: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 57 RETAIL & CONSUMER GOODS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 58 RETAIL & CONSUMER GOODS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 59 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 60 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 61 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 62 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 63 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 64 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 65 MANUFACTURING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 66 MANUFACTURING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 67 OTHER VERTICALS: SERVERLESS COMPUTING MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 68 OTHER VERTICALS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 69 MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 70 SERVERLESS COMPUTING MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 71 NORTH AMERICA: SERVERLESS COMPUTING MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION)
TABLE 72 NORTH AMERICA: MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
TABLE 73 NORTH AMERICA: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 74 NORTH AMERICA: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 75 NORTH AMERICA: MARKET, BY DEPLOYMENT MODEL, 2019–2023 (USD MILLION)
TABLE 76 NORTH AMERICA: MARKET, BY DEPLOYMENT MODEL, 2024–2029 (USD MILLION)
TABLE 77 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
TABLE 78 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
TABLE 79 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 80 NORTH AMERICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 81 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 82 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 83 US: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 84 US: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 85 CANADA: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 86 CANADA: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 87 EUROPE: MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION)
TABLE 88 EUROPE: SERVERLESS COMPUTING MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
TABLE 89 EUROPE: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 90 EUROPE: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 91 EUROPE: MARKET, BY DEPLOYMENT MODEL, 2019–2023 (USD MILLION)
TABLE 92 EUROPE: MARKET, BY DEPLOYMENT MODEL, 2024–2029 (USD MILLION)
TABLE 93 EUROPE: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
TABLE 94 EUROPE: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
TABLE 95 EUROPE: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 96 EUROPE: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 97 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 98 EUROPE: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 99 UK: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 100 UK: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 101 GERMANY: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 102 GERMANY: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 103 FRANCE: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 104 FRANCE: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 105 ITALY: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 106 ITALY: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 107 REST OF EUROPE: SERVERLESS COMPUTING MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 108 REST OF EUROPE: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 109 ASIA PACIFIC: MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION)
TABLE 110 ASIA PACIFIC: SERVERLESS COMPUTING MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
TABLE 111 ASIA PACIFIC: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 112 ASIA PACIFIC: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 113 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODEL, 2019–2023 (USD MILLION)
TABLE 114 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODEL, 2024–2029 (USD MILLION)
TABLE 115 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
TABLE 116 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
TABLE 117 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 118 ASIA PACIFIC: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 119 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 120 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 121 CHINA: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 122 CHINA: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 123 INDIA: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 124 INDIA: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 125 JAPAN: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 126 JAPAN: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 127 REST OF ASIA PACIFIC: SERVERLESS COMPUTING MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 128 REST OF ASIA PACIFIC: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 129 MIDDLE EAST & AFRICA: MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION)
TABLE 130 MIDDLE EAST & AFRICA: MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
TABLE 131 MIDDLE EAST & AFRICA: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 132 MIDDLE EAST & AFRICA: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 133 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODEL, 2019–2023 (USD MILLION)
TABLE 134 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODEL, 2024–2029 (USD MILLION)
TABLE 135 MIDDLE EAST & AFRICA: SERVERLESS COMPUTING MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
TABLE 136 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
TABLE 137 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 138 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 139 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 140 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 141 GCC: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 142 GCC: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 143 GCC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 144 GCC: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 145 SOUTH AFRICA: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 146 SOUTH AFRICA: SERVERLESS COMPUTING MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 147 REST OF MIDDLE EAST & AFRICA: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 148 REST OF MIDDLE EAST & AFRICA: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 149 LATIN AMERICA: MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION)
TABLE 150 LATIN AMERICA: MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
TABLE 151 LATIN AMERICA: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 152 LATIN AMERICA: SERVERLESS COMPUTING MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 153 LATIN AMERICA: MARKET, BY DEPLOYMENT MODEL, 2019–2023 (USD MILLION)
TABLE 154 LATIN AMERICA: MARKET, BY DEPLOYMENT MODEL, 2024–2029 (USD MILLION)
TABLE 155 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
TABLE 156 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
TABLE 157 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 158 LATIN AMERICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 159 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 160 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 161 BRAZIL: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 162 BRAZIL: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 163 MEXICO: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 164 MEXICO: MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 165 REST OF LATIN AMERICA: MARKET, BY SERVICE MODEL, 2019–2023 (USD MILLION)
TABLE 166 REST OF LATIN AMERICA: SERVERLESS COMPUTING MARKET, BY SERVICE MODEL, 2024–2029 (USD MILLION)
TABLE 167 OVERVIEW OF STRATEGIES ADOPTED BY KEY VENDORS
TABLE 168 MARKET SHARE OF KEY VENDORS, 2023
TABLE 169 MARKET: REGION FOOTPRINT
TABLE 170 MARKET: OFFERING FOOTPRINT
TABLE 171 SERVERLESS COMPUTING MARKET: VERTICAL FOOTPRINT
TABLE 172 OVERALL COMPANY FOOTPRINT FOR STARTUPS/SMES
TABLE 173 PROJECT PORTFOLIO MANAGEMENT MARKET: KEY STARTUPS/SMES
TABLE 174 MARKET: PRODUCT LAUNCHES & ENHANCEMENTS, DECEMBER 2019–AUGUST 2024
TABLE 175 SERVERLESS COMPUTING MARKET: DEALS, FEBRUARY 2021–JUNE 2024
TABLE 176 AWS: COMPANY OVERVIEW
TABLE 177 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 178 AWS: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 179 MICROSOFT: COMPANY OVERVIEW
TABLE 180 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 181 MICROSOFT: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 182 IBM: COMPANY OVERVIEW
TABLE 183 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 184 IBM: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 185 GOOGLE: COMPANY OVERVIEW
TABLE 186 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 187 GOOGLE: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 188 GOOGLE: DEALS
TABLE 189 ORACLE: COMPANY OVERVIEW
TABLE 190 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 191 ORACLE: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 192 ALIBABA CLOUD: COMPANY OVERVIEW
TABLE 193 ALIBABA CLOUD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 194 ALIBABA CLOUD: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 195 TENCENT CLOUD: COMPANY OVERVIEW
TABLE 196 TENCENT CLOUD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 197 TWILIO: COMPANY OVERVIEW
TABLE 198 TWILIO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 199 CLOUDFLARE: COMPANY OVERVIEW
TABLE 200 CLOUDFLARE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 201 CLOUDFLARE: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 202 CLOUDFLARE: DEALS
TABLE 203 MONGODB: COMPANY OVERVIEW
TABLE 204 MONGODB: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 205 MONGODB: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 206 MONGODB: DEALS
TABLE 207 MONGODB: EXPANSIONS
TABLE 208 CLOUD MOBILE BACKEND AS A SERVICE MARKET, BY SERVICE TYPE, 2019–2022 (USD MILLION)
TABLE 209 CLOUD MOBILE BACKEND AS A SERVICE MARKET, BY SERVICE TYPE, 2023–2028 (USD MILLION)
TABLE 210 CLOUD MOBILE BACKEND AS A SERVICE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 211 CLOUD MOBILE BACKEND AS A SERVICE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 212 CLOUD MOBILE BACKEND AS A SERVICE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 213 CLOUD MOBILE BACKEND AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 214 SERVERLESS ARCHITECTURE MARKET, BY SERVICE TYPE, 2018–2025 (USD MILLION)
TABLE 215 SERVERLESS ARCHITECTURE MARKET, BY VERTICAL, 2018–2025 (USD MILLION)
TABLE 216 SERVERLESS ARCHITECTURE MARKET, BY REGION, 2018–2025 (USD MILLION)
 
  
LIST OF FIGURES (58 FIGURES)
 
FIGURE 1 SERVERLESS COMPUTING MARKET: RESEARCH DESIGN
FIGURE 2 BREAKUP OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION, AND REGION
FIGURE 3 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: SUPPLY-SIDE ANALYSIS
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - BOTTOM-UP APPROACH (SUPPLY SIDE): COLLECTIVE REVENUE OF SERVERLESS COMPUTING VENDORS
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY – (SUPPLY SIDE): ILLUSTRATION OF VENDOR REVENUE ESTIMATION
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2 (DEMAND SIDE): REVENUE GENERATED FROM SERVICE MODELS
FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2 (DEMAND SIDE): SERVERLESS COMPUTING MARKET
FIGURE 9 MARKET SNAPSHOT, 2019–2029
FIGURE 10 TOP MARKET SEGMENTS IN TERMS OF GROWTH RATE
FIGURE 11 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE DURING FORECAST PERIOD
FIGURE 12 GROWING DEMAND FOR SCALABLE, COST-EFFICIENT SOLUTIONS AND ADOPTION OF SERVERLESS ARCHITECTURES TO FUEL MARKET GROWTH
FIGURE 13 COMPUTE SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
FIGURE 14 FUNCTION-AS-A-SERVICE (FAAS) SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
FIGURE 15 PUBLIC CLOUD TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
FIGURE 16 LARGE ENTERPRISES TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
FIGURE 17 IT & TELECOM VERTICAL TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
FIGURE 18 ASIA PACIFIC TO EMERGE AS BEST MARKET FOR INVESTMENTS IN NEXT FIVE YEARS
FIGURE 19 MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
FIGURE 20 ECOSYSTEM ANALYSIS OF SERVERLESS COMPUTING MARKET
FIGURE 21 MARKET: SUPPLY CHAIN ANALYSIS
FIGURE 22 NUMBER OF PATENTS PUBLISHED, 2013–2023
FIGURE 23 MARKET: TOP FIVE PATENT OWNERS (GLOBAL)
FIGURE 24 MARKET: PORTER’S FIVE FORCES ANALYSIS
FIGURE 25 MARKET: TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
FIGURE 26 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
FIGURE 27 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
FIGURE 28 LEADING SERVERLESS COMPUTING MARKET VENDORS, BY NUMBER OF INVESTORS AND FUNDING ROUNDS, 2023
FIGURE 29 IMPACT OF GEN AI ON MARKET, 2023
FIGURE 30 APPLICATION INTEGRATION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 31 BAAS SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
FIGURE 32 HYBRID CLOUD TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 33 MEDIUM ENTERPRISES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 34 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 35 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET BY 2029
FIGURE 36 NORTH AMERICA: MARKET SNAPSHOT
FIGURE 37 ASIA PACIFIC: MARKET SNAPSHOT
FIGURE 38 SERVERLESS COMPUTING MARKET: MARKET SHARE ANALYSIS
FIGURE 39 FAAS: VENDOR PRODUCT/BRAND COMPARISON
FIGURE 40 BAAS: BRAND/PRODUCT COMPARISON
FIGURE 41 HISTORICAL REVENUE ANALYSIS, 2019–2023 (USD MILLION)
FIGURE 42 COMPANY EVALUATION MATRIX FOR KEY PLAYERS: CRITERIA WEIGHTAGE
FIGURE 43 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
FIGURE 44 SERVERLESS COMPUTING MARKET: COMPANY FOOTPRINT
FIGURE 45 EVALUATION MATRIX FOR STARTUPS/SMES: CRITERIA WEIGHTAGE
FIGURE 46 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
FIGURE 47 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
FIGURE 48 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND FIVE-YEAR STOCK BETA OF KEY VENDORS
FIGURE 49 AWS: COMPANY SNAPSHOT
FIGURE 50 MICROSOFT: COMPANY SNAPSHOT
FIGURE 51 IBM: COMPANY SNAPSHOT
FIGURE 52 GOOGLE: COMPANY SNAPSHOT
FIGURE 53 ORACLE: COMPANY SNAPSHOT
FIGURE 54 ALIBABA CLOUD: COMPANY SNAPSHOT
FIGURE 55 TENCENT CLOUD: COMPANY SNAPSHOT
FIGURE 56 TWILIO: COMPANY SNAPSHOT
FIGURE 57 CLOUDFLARE: COMPANY SNAPSHOT
FIGURE 58 MONGODB: COMPANY SNAPSHOT

The study involved four major activities in estimating the serverless computing market. We conducted secondary research to gather information on the market, competitors, and parent market. The next stage was to validate these findings and assumptions and size them with industry professionals across the value chain using primary research. Top-down and bottom-up methodologies were used to determine the total market size. We used the market breakup and data triangulation techniques to estimate the market size of the different segments in the market.

Secondary Research

Several sources were used to locate and collect information for this study during the secondary research process. Secondary sources included company annual reports, press announcements, investor presentations, white papers, journals, certified publications, and articles from well-known writers, directories, and databases. Data was also gathered from other secondary sources, such as journals, government websites, blogs, and vendor websites.

Primary Research

Primary sources included industry experts from the core and associated industries, preferred software suppliers, hardware manufacturers, distributors, service providers, technology developers, alliances, and organizations representing all parts of the industry's value chain. In-depth interviews were conducted with primary respondents, including major industry participants, subject-matter experts, C-level executives of important market companies, and industry consultants, to acquire and verify critical qualitative and quantitative data and analyze the market's potential.

We performed primary interviews to gain insights such as market statistics, the current trends disrupting the industry, new use cases applied, revenue data collected from products and services, market breakdowns, market size projections, market predictions, and data triangulation. Primary research also helped me grasp different technology trends, segmentation types, industry trends, and geographies. Demand-side stakeholders, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), and Chief Security Officers (CSOs); installation teams of governments/end users using serverless computing solutions and services; and digital initiatives project teams, were interviewed to understand the buyer's perspective on suppliers, products, service providers, and their current use of services, which will affect the overall serverless computing market.

Serverless Computing Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

We estimated and forecasted Serverless Computing and other related submarkets using top-down and bottom-up methodologies. We used a bottom-up approach to calculate the overall market size by analyzing the revenues and offerings of significant market players. This study used data triangulation methods and validation through primary interviews to determine and confirm the precise worth of the whole parent market. We used the overall market size in the top-down process to estimate the size of other particular markets using percentage splits of market segments.  

We used top-down and bottom-up approaches to estimate and validate the Serverless Computing market and other dependent subsegments.

The research methodology used to estimate the market size included the following details:

  • We identified key players in the market through secondary research. We then determined their revenue contributions in the respective countries through primary and secondary research.
  • This procedure included studying top market player’s annual and financial reports and extensive interviews for key insights from industry leaders, such as Chief Executive Officers (CEOs), VPs, directors, and marketing executives.
  • All percentage splits and breakups were determined using secondary sources and verified through primary sources.

We estimated and forecasted the Serverless Computing market and related submarkets using top-down and bottom-up methodologies. We used a bottom-up approach to calculate the overall market size by analyzing the revenues and offerings of significant market players. This study used data triangulation methods and validation through primary interviews to determine and confirm the precise worth of the whole parent market. We used the overall market size in the top-down process to estimate the size of other particular markets using percentage splits of market segments.

Serverless Computing Market: Top-down and Bottom-up approaches

Serverless Computing Market Top Down and Bottom Up Approach

To know about the assumptions considered for the study, Request for Free Sample Report

Data Triangulation

After determining the overall market size, the market was divided into segments and subsegments using the previously described market size estimating techniques. Where applicable, data triangulation and market breakup methods were used to complete the whole market engineering process and ascertain the exact numbers for each market segment and subsegment. The data was triangulated by evaluating many elements and trends on the demand and supply sides of the Serverless Computing market. 

Market Definition

MarketsandMarkets defines Serverless Computing as “a cloud computing model that allows developers to build and run applications without managing infrastructure. The cloud provider takes care of the provisioning, scaling, and management, and the developers only need to focus on writing code. The market primarily consists of Function as a Service (FaaS), which performs isolated functions in response to events, and Backend as a Service (BaaS), which provides backend services like databases and authentication.

Source: Secondary Research and MarketsandMarkets Analysis

 

Key Stakeholders

  • Function as a Service (FaaS) Providers
  • Backend as a Service (BaaS) Providers
  • Cloud Service Providers (CSPs)
  • Developers and IT Teams
  • Independent Software Vendors (ISVs)
  • Managed Service Providers (MSPs)
  • Consulting and Advisory Firms
  • API Management Providers
  • Open-Source Communities
  • Regulatory Bodies

Report Objectives

  • To define, describe, and forecast the global Serverless Computing market based on service type, service model, deployment model, organization size, vertical, and region
  • To forecast the market size of the five major regional segments: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To strategically analyze the market subsegments concerning individual growth trends, prospects, and contributions to the total market
  • To provide detailed information related to the significant factors influencing the growth of the market (drivers, restraints, opportunities, and challenges)
  • To strategically analyze macro and micro markets for growth trends, prospects, and their contributions to the overall market
  • To analyze industry trends, patents and innovations, and pricing data related to the Serverless Computing market
  • To analyze the opportunities in the market for stakeholders and provide details of the competitive landscape for major players.
  • To profile key players in the market and comprehensively analyze their market share/ranking and core competencies.
  • To track and analyze competitive developments, such as mergers & acquisitions, product developments, and partnerships & collaborations in the market.

Available Customizations

With the given market data, MarketsandMarkets offers customizations per the company's specific needs. The following customization options are available for the report:

Product Analysis

  • The product matrix provides a detailed comparison of each company's product portfolio.

Geographic Analysis

  • Further breakup of the Asia Pacific market into countries contributing 75% to the regional market size
  • Further breakup of the North American market into countries contributing 75% to the regional market size
  • Further breakup of the Latin American market into countries contributing 75% to the regional market size
  • Further breakup of the Middle Eastern & African market into countries contributing 75% to the regional market size
  • Further breakup of the European market into countries contributing 75% to the regional market size  

Company Information 

  • Detailed analysis and profiling of additional market players (up to 5)

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