Serverless Computing Market Research Report 2033

Serverless Computing Market Research Report 2033

Segments - by Service Model (Function as a Service, Backend as a Service), by Deployment Model (Public Cloud, Private Cloud, Hybrid Cloud), by Organization Size (Small and Medium Enterprises, Large Enterprises), by Industry Vertical (BFSI, IT and Telecommunications, Healthcare, Retail, Manufacturing, Media and Entertainment, Others)

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Report Description


Serverless Computing Market Outlook

The serverless computing market size was valued at approximately USD 7.08 billion in 2023 and is projected to reach USD 29.65 billion by 2032, growing at a remarkable compound annual growth rate (CAGR) of 17.3% during the forecast period from 2025 to 2033. This impressive growth can be attributed to several factors, including the increasing adoption of cloud services, the need for operational efficiency, and the rising focus on reducing infrastructure management complexities. As organizations strive to innovate rapidly and respond to dynamic market needs, serverless computing emerges as a cost-effective and efficient solution, driving its market size significantly.

One of the primary growth factors boosting the serverless computing market is the increasing demand for automation and agility in software development. Serverless computing provides developers with the ability to deploy and manage code without the need to manage the underlying infrastructure, allowing them to focus solely on building applications. This leads to quicker deployment times and the ability to scale applications automatically based on demand, which is particularly beneficial for businesses experiencing fluctuating workloads. Additionally, the pay-as-you-go pricing model of serverless computing makes it an attractive option for organizations looking to optimize their costs while maintaining flexibility in their operations.

Another key driver for the serverless computing market is the growing emphasis on microservices architecture. As businesses transition from monolithic to microservices-based architectures, serverless computing becomes crucial in managing these discrete, independently deployable components. Serverless platforms support the microservices model by enabling developers to build small, modular functions that can be easily integrated and scaled. This enhances the overall efficiency and performance of applications, leading to increased adoption of serverless computing across various industry verticals. Furthermore, the reduced time to market offered by serverless solutions aligns perfectly with the needs of fast-paced digital transformation initiatives.

The expansion of edge computing is also contributing to the growth of the serverless computing market. As edge computing brings computational power closer to data sources, the combination with serverless architectures can lead to powerful, distributed systems with minimal latency. This integration is particularly relevant in sectors like IoT, where real-time processing is essential. Serverless computing facilitates the deployment of functions at the edge, optimizing data processing and reducing bandwidth usage. As industries seek to leverage the benefits of edge computing for enhanced performance and efficiency, the demand for serverless solutions continues to rise, further driving market growth.

Regionally, North America holds a significant share of the serverless computing market, driven by the presence of major cloud service providers and early adoption of advanced technologies. The region's strong IT infrastructure and a high concentration of large enterprises contribute to the widespread implementation of serverless solutions. Additionally, Asia Pacific is expected to witness substantial growth in the serverless computing market during the forecast period, primarily due to the increasing digitalization efforts in emerging economies like China and India. The rising number of startups and SMEs in the region, coupled with government initiatives promoting cloud adoption, are further propelling the market. Europe also shows promising growth potential, supported by the region's focus on innovation and technology adoption.

Global Serverless Computing Industry Outlook

Service Model Analysis

The service model segment of the serverless computing market is primarily categorized into Function as a Service (FaaS) and Backend as a Service (BaaS). Function as a Service (FaaS) is witnessing considerable traction due to its ability to run application logic without the complexities of managing servers. It provides a highly scalable environment where functions are triggered by events, allowing businesses to build and deploy microservices efficiently. As organizations increasingly focus on building modular applications and leveraging event-driven architectures, the adoption of FaaS is expected to grow significantly. The ease of integration with existing cloud services further enhances its appeal, driving its prominence within the serverless computing landscape.

Backend as a Service (BaaS), on the other hand, offers a comprehensive suite of backend services such as database management, user authentication, and push notifications, thereby reducing the need for in-house backend infrastructure. BaaS enables developers to focus on creating frontend features and user experiences without worrying about backend processes. This service model is particularly beneficial for startups and SMEs that lack extensive IT resources and seek to accelerate their application development lifecycle. As the demand for rapid application deployment and time-to-market intensifies, BaaS is expected to witness robust growth, complementing the FaaS model within the serverless domain.

The integration of artificial intelligence and machine learning capabilities into serverless service models is another factor driving growth. Serverless platforms are increasingly incorporating AI/ML functionalities, enabling developers to build intelligent applications that can process and analyze vast amounts of data. This integration allows businesses to enhance their applications with features like natural language processing, image recognition, and predictive analytics. As the demand for AI-driven solutions continues to rise, serverless service models that support these technologies are likely to gain a competitive edge, further boosting their adoption across various industries.

Moreover, the increasing focus on security and compliance in serverless computing is shaping the service model landscape. Both FaaS and BaaS providers are investing in advanced security measures to protect data and applications from potential threats. This includes implementing encryption protocols, access controls, and monitoring capabilities to ensure a secure environment for users. Additionally, compliance with industry standards and regulations is a key consideration for organizations adopting serverless solutions, especially in sectors like BFSI and healthcare where data privacy is paramount. As service models continue to evolve to address these concerns, their adoption is expected to increase further.

The service model segment is also witnessing innovations in tooling and development frameworks that facilitate serverless application development. New tools and frameworks are being introduced to streamline the process of building, testing, and deploying serverless applications. These advancements cater to the growing demand for developer-friendly environments, enabling faster and more efficient application development. As the ecosystem around serverless computing expands with these innovations, the service model segment is poised for sustained growth and diversification, further enhancing the appeal of serverless solutions in the market.

Report Scope

Attributes Details
Report Title Serverless Computing Market Research Report 2033
By Service Model Function as a Service, Backend as a Service
By Deployment Model Public Cloud, Private Cloud, Hybrid Cloud
By Organization Size Small and Medium Enterprises, Large Enterprises
By Industry Vertical BFSI, IT and Telecommunications, Healthcare, Retail, Manufacturing, Media and Entertainment, Others
Regions Covered North America, Europe, APAC, Latin America, MEA
Base Year 2024
Historic Data 2018-2023
Forecast Period 2025-2033
Number of Pages 290
Number of Tables & Figures 367
Customization Available Yes, the report can be customized as per your need.

Deployment Model Analysis

The deployment model segment of the serverless computing market encompasses Public Cloud, Private Cloud, and Hybrid Cloud environments. Each of these models offers unique benefits and caters to diverse organizational needs, contributing to the overall market expansion. The Public Cloud model is the most prevalent due to its scalability, cost-effectiveness, and flexibility. Organizations across various industries leverage public cloud platforms to deploy serverless applications, benefiting from the robust infrastructure and services provided by leading cloud vendors. The public cloud's ability to support high-volume workloads and facilitate global reach makes it an attractive choice for businesses seeking rapid deployment and scalability.

Private Cloud deployment, while less prevalent than public cloud, continues to hold significance for organizations with specific security and compliance requirements. Industries such as BFSI and healthcare, which handle sensitive data, often prefer private cloud environments to maintain greater control over their servers and applications. Serverless solutions within private cloud deployments provide the same benefits of reduced infrastructure management while ensuring a higher level of data privacy and security. As regulatory frameworks tighten and data protection becomes a priority, the adoption of serverless computing in private cloud environments is expected to grow, particularly among enterprises that prioritize data sovereignty.

Hybrid Cloud deployment represents a middle ground that combines the benefits of both public and private clouds. It enables organizations to leverage public cloud capabilities while maintaining their critical applications and data on private servers. This flexibility is ideal for businesses seeking to optimize their IT infrastructure and balance workloads across different environments. Serverless computing in hybrid clouds offers seamless integration and scalability, allowing organizations to adapt to changing business needs without compromising security or performance. As hybrid cloud strategies gain traction, the role of serverless computing in these environments is expected to expand, driving further growth in this segment.

Furthermore, advancements in cloud-native technologies are influencing deployment model preferences within the serverless computing market. Containerization and orchestration tools, such as Kubernetes, are enhancing the ability to deploy serverless applications in diverse environments. These technologies enable organizations to build, manage, and scale serverless functions across public, private, and hybrid clouds seamlessly. The increasing adoption of cloud-native approaches aligns with the broader trend of digital transformation, as businesses seek to modernize their IT infrastructure and processes. As a result, deployment models that support these technologies are likely to see increased adoption in the coming years.

The deployment model segment is also impacted by geographic and regional considerations. Different regions exhibit varying levels of cloud adoption, which influences the preference for specific deployment models. For instance, North America, with its mature cloud infrastructure, predominantly favors public cloud deployments, while regions like Europe and Asia Pacific may show a balanced mix of public, private, and hybrid cloud usage. As cloud adoption continues to accelerate globally, the deployment model segment of the serverless computing market is expected to evolve, catering to the diverse needs and preferences of organizations worldwide.

Organization Size Analysis

The organization size segment of the serverless computing market is categorized into Small and Medium Enterprises (SMEs) and Large Enterprises. Each segment experiences distinct trends and dynamics that influence the adoption and implementation of serverless technologies. Small and Medium Enterprises (SMEs) are increasingly turning to serverless computing as a means of cost optimization and resource efficiency. For SMEs, the pay-as-you-go pricing model offered by serverless platforms reduces the financial burden of maintaining infrastructure, allowing them to allocate resources more effectively. Additionally, the scalability and flexibility provided by serverless solutions enable SMEs to accommodate growth without the need for significant upfront investments in IT infrastructure.

The agility and speed of development facilitated by serverless computing also resonate well with SMEs, which often operate in competitive markets where rapid innovation is crucial. Serverless platforms empower smaller businesses to build and deploy applications swiftly, reducing time-to-market and enabling them to respond to customer demands quickly. This capability is particularly beneficial for startups and tech-focused SMEs that prioritize innovation and seek to leverage technology as a competitive differentiator. As the demand for rapid innovation and digital transformation continues to rise, the adoption of serverless computing among SMEs is expected to grow, driving significant market expansion in this segment.

For Large Enterprises, the adoption of serverless computing is driven by a different set of considerations, primarily centered around scalability, efficiency, and innovation. Large organizations often manage complex IT environments and handle vast amounts of data, making serverless solutions appealing due to their ability to automatically scale based on demand. This scalability ensures that enterprises can efficiently manage peak workloads and improve resource utilization without the need for manual intervention. Moreover, serverless computing allows large enterprises to focus on strategic initiatives and innovation by offloading infrastructure management responsibilities to cloud service providers.

Large enterprises also benefit from the enhanced security and compliance features offered by serverless platforms. As these organizations operate in highly regulated industries such as finance and healthcare, data protection and compliance are top priorities. Serverless solutions provide robust security measures, ensuring that applications and data are safeguarded from potential threats. Additionally, the ability to leverage serverless computing within hybrid and multi-cloud environments allows large enterprises to optimize their IT strategies and align with digital transformation objectives. As a result, the adoption of serverless computing among large enterprises is expected to drive substantial market growth and innovation within this segment.

The organization size segment is further influenced by sector-specific factors that impact serverless adoption. For instance, industries such as retail, media, and telecommunications, which experience fluctuating demand and require agility, are more likely to adopt serverless solutions to meet customer expectations. Conversely, sectors with stringent regulatory requirements may prioritize serverless adoption within private or hybrid cloud environments to ensure compliance. As organizations across different sizes and sectors recognize the benefits of serverless computing, its adoption is anticipated to increase, contributing to the overall growth and diversification of the serverless computing market.

Industry Vertical Analysis

The industry vertical segment of the serverless computing market encompasses a wide range of sectors, including Banking, Financial Services, and Insurance (BFSI), IT and Telecommunications, Healthcare, Retail, Manufacturing, Media and Entertainment, and others. Each industry vertical presents unique opportunities and challenges for the adoption of serverless technologies, driving the growth and evolution of the market. In the BFSI sector, serverless computing is gaining traction due to its ability to streamline processes, enhance customer experiences, and ensure compliance. Financial institutions are leveraging serverless solutions to build scalable, event-driven applications that can handle high volumes of transactions and data.

In the IT and Telecommunications industry, serverless computing is transforming the way applications are developed and deployed. The sector is characterized by rapid technological advancements and a constant demand for innovative services, making serverless solutions a natural fit. Telecommunications companies are utilizing serverless architectures to build flexible, scalable applications that support emerging technologies such as 5G and IoT. This enables them to deliver new services quickly, improve customer experiences, and optimize network operations. As the IT and telecommunications industry continues to evolve, the adoption of serverless computing is expected to increase, driving significant market growth in this vertical.

The healthcare sector is also embracing serverless computing to address the growing demand for digital health solutions and improve patient care. Serverless platforms enable healthcare providers to develop and deploy applications that enhance data processing capabilities, facilitate real-time analytics, and improve interoperability between various healthcare systems. This is particularly valuable in areas such as telemedicine, where serverless solutions can support secure, reliable communication between patients and healthcare providers. As healthcare organizations seek to leverage technology to enhance patient outcomes and optimize operations, the adoption of serverless computing is poised to grow, contributing to the overall market expansion.

In the retail industry, serverless computing is revolutionizing the way businesses engage with customers and manage operations. Retailers are leveraging serverless solutions to create personalized shopping experiences, optimize inventory management, and streamline supply chain operations. The scalability and flexibility of serverless architectures enable retailers to handle peak shopping seasons and fluctuating demand efficiently. Furthermore, the ability to integrate serverless functions with data analytics and AI capabilities allows retailers to gain valuable insights into customer behavior, driving more targeted marketing and sales strategies. As the retail industry continues to embrace digital transformation, the adoption of serverless computing is expected to accelerate, driving growth in this vertical.

The Media and Entertainment sector is experiencing significant shifts due to the increasing demand for digital content and streaming services. Serverless computing enables media companies to build scalable applications that deliver high-quality content to audiences globally. The ability to handle large volumes of data and support real-time content delivery is critical in this industry, making serverless solutions an attractive option. Additionally, serverless architectures facilitate content personalization and recommendation engines, enhancing user engagement and satisfaction. As the media and entertainment industry continues to adapt to changing consumer preferences, the adoption of serverless computing is anticipated to increase, further propelling the growth of the serverless computing market.

Opportunities & Threats

The Serverless Computing market offers a plethora of opportunities that businesses across various sectors can capitalize on. One significant opportunity lies in the proliferation of IoT and edge computing. As more devices become interconnected, the ability to process and analyze data at the edge becomes crucial. Serverless computing can effectively support this need by providing a decentralized, scalable model that can handle the processing requirements of IoT data. This opens up new avenues for innovation, especially in sectors like smart cities, healthcare, and industrial automation. Companies that leverage serverless architectures for edge computing can gain a competitive advantage by delivering real-time insights and services.

Another major opportunity in the serverless computing market is the increasing integration of artificial intelligence and machine learning capabilities. Serverless platforms are being enhanced with AI and ML functionalities, enabling businesses to create intelligent applications that can learn and adapt over time. This is particularly valuable in industries such as finance, healthcare, and retail, where predictive analytics and personalized services are in high demand. By incorporating AI/ML into serverless applications, organizations can automate complex tasks, improve decision-making, and deliver more personalized customer experiences. As AI/ML adoption continues to grow, serverless computing is poised to play a pivotal role in driving innovation and efficiency.

Despite the numerous opportunities, the serverless computing market also faces certain threats and challenges. One of the primary restrainers is the complexity of managing distributed systems. While serverless computing abstracts the underlying infrastructure, it introduces complexity in monitoring and debugging applications due to the distributed nature of functions and events. Developers need to adapt to new paradigms and tools for managing serverless environments, which can be a barrier to adoption, particularly for organizations with limited technical expertise. Additionally, the reliance on third-party cloud providers for serverless services raises concerns around vendor lock-in, where organizations become dependent on a specific provider's ecosystem, potentially limiting flexibility and increasing costs in the long term.

Regional Outlook

The Serverless Computing market exhibits diverse growth patterns across various regions, influenced by factors such as technological infrastructure, regulatory environment, and market maturity. North America is expected to maintain its dominance in the serverless computing market, driven by the presence of major cloud service providers and a strong focus on technological innovation. The region's well-established IT infrastructure and a high concentration of large enterprises contribute to the widespread adoption of serverless solutions. With a CAGR of around 15.8%, North America is poised to continue leading the market, benefiting from early adoption and continuous advancements in cloud technologies.

Asia Pacific is anticipated to witness significant growth in the serverless computing market, fueled by the increasing digitalization efforts in emerging economies such as China and India. The region's growing number of startups and SMEs, coupled with government initiatives promoting cloud adoption, are key drivers of market expansion. As businesses across the region embrace digital transformation, the demand for agile, scalable solutions like serverless computing is expected to rise. With a projected CAGR of 19.2% during the forecast period, Asia Pacific presents immense growth potential and opportunities for vendors to capitalize on the evolving market dynamics.

Europe also demonstrates promising growth potential in the serverless computing market, supported by the region's emphasis on innovation and technology adoption. European organizations are increasingly exploring serverless solutions to enhance operational efficiency, reduce costs, and support digital initiatives. The presence of stringent data protection regulations, such as GDPR, influences the adoption of serverless computing within private and hybrid cloud environments, where data sovereignty is prioritized. As the European market continues to mature, serverless computing adoption is expected to increase, contributing to the overall growth and diversification of the market in the region.

Serverless Computing Market Statistics

Competitor Outlook

The serverless computing market is characterized by a dynamic and competitive landscape, with numerous key players vying for market share. Major cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud dominate the market, offering comprehensive serverless platforms that cater to a wide range of industry needs. These companies have established themselves as leaders in the field, leveraging their extensive cloud infrastructure and innovative solutions to attract a diverse customer base. Their investments in research and development, along with strategic partnerships, enable them to continually enhance their offerings and maintain a competitive edge.

AWS Lambda, a leader in the serverless space, has gained significant traction due to its robust ecosystem and seamless integration with other AWS services. It provides developers with a flexible and scalable platform to build and deploy serverless applications, supported by a vast array of tools and resources. AWS's continuous investment in expanding its serverless capabilities, coupled with its strong customer support, solidifies its position as a dominant player in the market. The company's focus on innovation and customer-centric solutions ensures its continued relevance and competitiveness in the evolving serverless landscape.

Microsoft Azure Functions is another major player making significant strides in the serverless computing market. Known for its enterprise-grade features and excellent integration with Microsoft's suite of products, Azure

Key Players

  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud Platform
  • IBM Cloud
  • Oracle Cloud
  • Alibaba Cloud
  • Red Hat OpenShift
  • Salesforce
  • SAP Cloud Platform
  • VMware
  • Tencent Cloud
  • Rackspace Technology
  • Cloudflare
  • Fastly
  • Netlify
  • Akamai Technologies
  • Twilio
  • Auth0
  • DigitalOcean
  • Heroku
Serverless Computing Market Overview

Segments

The Serverless Computing market has been segmented on the basis of

Service Model

  • Function as a Service
  • Backend as a Service

Deployment Model

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

Organization Size

  • Small and Medium Enterprises
  • Large Enterprises

Industry Vertical

  • BFSI
  • IT and Telecommunications
  • Healthcare
  • Retail
  • Manufacturing
  • Media and Entertainment
  • Others

Table Of Content

Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Serverless Computing Market Overview
   4.1 Introduction
      4.1.1 Market Taxonomy
      4.1.2 Market Definition
      4.1.3 Macro-Economic Factors Impacting the Market Growth
   4.2 Serverless Computing Market Dynamics
      4.2.1 Market Drivers
      4.2.2 Market Restraints
      4.2.3 Market Opportunity
   4.3 Serverless Computing Market - Supply Chain Analysis
      4.3.1 List of Key Suppliers
      4.3.2 List of Key Distributors
      4.3.3 List of Key Consumers
   4.4 Key Forces Shaping the Serverless Computing Market
      4.4.1 Bargaining Power of Suppliers
      4.4.2 Bargaining Power of Buyers
      4.4.3 Threat of Substitution
      4.4.4 Threat of New Entrants
      4.4.5 Competitive Rivalry
   4.5 Global Serverless Computing Market Size & Forecast, 2023-2032
      4.5.1 Serverless Computing Market Size and Y-o-Y Growth
      4.5.2 Serverless Computing Market Absolute $ Opportunity

Chapter 5 Global Serverless Computing Market Analysis and Forecast By Service Model
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities By Service Model
      5.1.2 Basis Point Share (BPS) Analysis By Service Model
      5.1.3 Absolute $ Opportunity Assessment By Service Model
   5.2 Serverless Computing Market Size Forecast By Service Model
      5.2.1 Function as a Service
      5.2.2 Backend as a Service
   5.3 Market Attractiveness Analysis By Service Model

Chapter 6 Global Serverless Computing Market Analysis and Forecast By Deployment Model
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities By Deployment Model
      6.1.2 Basis Point Share (BPS) Analysis By Deployment Model
      6.1.3 Absolute $ Opportunity Assessment By Deployment Model
   6.2 Serverless Computing Market Size Forecast By Deployment Model
      6.2.1 Public Cloud
      6.2.2 Private Cloud
      6.2.3 Hybrid Cloud
   6.3 Market Attractiveness Analysis By Deployment Model

Chapter 7 Global Serverless Computing Market Analysis and Forecast By Organization Size
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities By Organization Size
      7.1.2 Basis Point Share (BPS) Analysis By Organization Size
      7.1.3 Absolute $ Opportunity Assessment By Organization Size
   7.2 Serverless Computing Market Size Forecast By Organization Size
      7.2.1 Small and Medium Enterprises
      7.2.2 Large Enterprises
   7.3 Market Attractiveness Analysis By Organization Size

Chapter 8 Global Serverless Computing Market Analysis and Forecast By Industry Vertical
   8.1 Introduction
      8.1.1 Key Market Trends & Growth Opportunities By Industry Vertical
      8.1.2 Basis Point Share (BPS) Analysis By Industry Vertical
      8.1.3 Absolute $ Opportunity Assessment By Industry Vertical
   8.2 Serverless Computing Market Size Forecast By Industry Vertical
      8.2.1 BFSI
      8.2.2 IT and Telecommunications
      8.2.3 Healthcare
      8.2.4 Retail
      8.2.5 Manufacturing
      8.2.6 Media and Entertainment
      8.2.7 Others
   8.3 Market Attractiveness Analysis By Industry Vertical

Chapter 9 Global Serverless Computing Market Analysis and Forecast by Region
   9.1 Introduction
      9.1.1 Key Market Trends & Growth Opportunities By Region
      9.1.2 Basis Point Share (BPS) Analysis By Region
      9.1.3 Absolute $ Opportunity Assessment By Region
   9.2 Serverless Computing Market Size Forecast By Region
      9.2.1 North America
      9.2.2 Europe
      9.2.3 Asia Pacific
      9.2.4 Latin America
      9.2.5 Middle East & Africa (MEA)
   9.3 Market Attractiveness Analysis By Region

Chapter 10 Coronavirus Disease (COVID-19) Impact 
   10.1 Introduction 
   10.2 Current & Future Impact Analysis 
   10.3 Economic Impact Analysis 
   10.4 Government Policies 
   10.5 Investment Scenario

Chapter 11 North America Serverless Computing Analysis and Forecast
   11.1 Introduction
   11.2 North America Serverless Computing Market Size Forecast by Country
      11.2.1 U.S.
      11.2.2 Canada
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 North America Serverless Computing Market Size Forecast By Service Model
      11.6.1 Function as a Service
      11.6.2 Backend as a Service
   11.7 Basis Point Share (BPS) Analysis By Service Model 
   11.8 Absolute $ Opportunity Assessment By Service Model 
   11.9 Market Attractiveness Analysis By Service Model
   11.10 North America Serverless Computing Market Size Forecast By Deployment Model
      11.10.1 Public Cloud
      11.10.2 Private Cloud
      11.10.3 Hybrid Cloud
   11.11 Basis Point Share (BPS) Analysis By Deployment Model 
   11.12 Absolute $ Opportunity Assessment By Deployment Model 
   11.13 Market Attractiveness Analysis By Deployment Model
   11.14 North America Serverless Computing Market Size Forecast By Organization Size
      11.14.1 Small and Medium Enterprises
      11.14.2 Large Enterprises
   11.15 Basis Point Share (BPS) Analysis By Organization Size 
   11.16 Absolute $ Opportunity Assessment By Organization Size 
   11.17 Market Attractiveness Analysis By Organization Size
   11.18 North America Serverless Computing Market Size Forecast By Industry Vertical
      11.18.1 BFSI
      11.18.2 IT and Telecommunications
      11.18.3 Healthcare
      11.18.4 Retail
      11.18.5 Manufacturing
      11.18.6 Media and Entertainment
      11.18.7 Others
   11.19 Basis Point Share (BPS) Analysis By Industry Vertical 
   11.20 Absolute $ Opportunity Assessment By Industry Vertical 
   11.21 Market Attractiveness Analysis By Industry Vertical

Chapter 12 Europe Serverless Computing Analysis and Forecast
   12.1 Introduction
   12.2 Europe Serverless Computing Market Size Forecast by Country
      12.2.1 Germany
      12.2.2 France
      12.2.3 Italy
      12.2.4 U.K.
      12.2.5 Spain
      12.2.6 Russia
      12.2.7 Rest of Europe
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Europe Serverless Computing Market Size Forecast By Service Model
      12.6.1 Function as a Service
      12.6.2 Backend as a Service
   12.7 Basis Point Share (BPS) Analysis By Service Model 
   12.8 Absolute $ Opportunity Assessment By Service Model 
   12.9 Market Attractiveness Analysis By Service Model
   12.10 Europe Serverless Computing Market Size Forecast By Deployment Model
      12.10.1 Public Cloud
      12.10.2 Private Cloud
      12.10.3 Hybrid Cloud
   12.11 Basis Point Share (BPS) Analysis By Deployment Model 
   12.12 Absolute $ Opportunity Assessment By Deployment Model 
   12.13 Market Attractiveness Analysis By Deployment Model
   12.14 Europe Serverless Computing Market Size Forecast By Organization Size
      12.14.1 Small and Medium Enterprises
      12.14.2 Large Enterprises
   12.15 Basis Point Share (BPS) Analysis By Organization Size 
   12.16 Absolute $ Opportunity Assessment By Organization Size 
   12.17 Market Attractiveness Analysis By Organization Size
   12.18 Europe Serverless Computing Market Size Forecast By Industry Vertical
      12.18.1 BFSI
      12.18.2 IT and Telecommunications
      12.18.3 Healthcare
      12.18.4 Retail
      12.18.5 Manufacturing
      12.18.6 Media and Entertainment
      12.18.7 Others
   12.19 Basis Point Share (BPS) Analysis By Industry Vertical 
   12.20 Absolute $ Opportunity Assessment By Industry Vertical 
   12.21 Market Attractiveness Analysis By Industry Vertical

Chapter 13 Asia Pacific Serverless Computing Analysis and Forecast
   13.1 Introduction
   13.2 Asia Pacific Serverless Computing Market Size Forecast by Country
      13.2.1 China
      13.2.2 Japan
      13.2.3 South Korea
      13.2.4 India
      13.2.5 Australia
      13.2.6 South East Asia (SEA)
      13.2.7 Rest of Asia Pacific (APAC)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Asia Pacific Serverless Computing Market Size Forecast By Service Model
      13.6.1 Function as a Service
      13.6.2 Backend as a Service
   13.7 Basis Point Share (BPS) Analysis By Service Model 
   13.8 Absolute $ Opportunity Assessment By Service Model 
   13.9 Market Attractiveness Analysis By Service Model
   13.10 Asia Pacific Serverless Computing Market Size Forecast By Deployment Model
      13.10.1 Public Cloud
      13.10.2 Private Cloud
      13.10.3 Hybrid Cloud
   13.11 Basis Point Share (BPS) Analysis By Deployment Model 
   13.12 Absolute $ Opportunity Assessment By Deployment Model 
   13.13 Market Attractiveness Analysis By Deployment Model
   13.14 Asia Pacific Serverless Computing Market Size Forecast By Organization Size
      13.14.1 Small and Medium Enterprises
      13.14.2 Large Enterprises
   13.15 Basis Point Share (BPS) Analysis By Organization Size 
   13.16 Absolute $ Opportunity Assessment By Organization Size 
   13.17 Market Attractiveness Analysis By Organization Size
   13.18 Asia Pacific Serverless Computing Market Size Forecast By Industry Vertical
      13.18.1 BFSI
      13.18.2 IT and Telecommunications
      13.18.3 Healthcare
      13.18.4 Retail
      13.18.5 Manufacturing
      13.18.6 Media and Entertainment
      13.18.7 Others
   13.19 Basis Point Share (BPS) Analysis By Industry Vertical 
   13.20 Absolute $ Opportunity Assessment By Industry Vertical 
   13.21 Market Attractiveness Analysis By Industry Vertical

Chapter 14 Latin America Serverless Computing Analysis and Forecast
   14.1 Introduction
   14.2 Latin America Serverless Computing Market Size Forecast by Country
      14.2.1 Brazil
      14.2.2 Mexico
      14.2.3 Rest of Latin America (LATAM)
   14.3 Basis Point Share (BPS) Analysis by Country
   14.4 Absolute $ Opportunity Assessment by Country
   14.5 Market Attractiveness Analysis by Country
   14.6 Latin America Serverless Computing Market Size Forecast By Service Model
      14.6.1 Function as a Service
      14.6.2 Backend as a Service
   14.7 Basis Point Share (BPS) Analysis By Service Model 
   14.8 Absolute $ Opportunity Assessment By Service Model 
   14.9 Market Attractiveness Analysis By Service Model
   14.10 Latin America Serverless Computing Market Size Forecast By Deployment Model
      14.10.1 Public Cloud
      14.10.2 Private Cloud
      14.10.3 Hybrid Cloud
   14.11 Basis Point Share (BPS) Analysis By Deployment Model 
   14.12 Absolute $ Opportunity Assessment By Deployment Model 
   14.13 Market Attractiveness Analysis By Deployment Model
   14.14 Latin America Serverless Computing Market Size Forecast By Organization Size
      14.14.1 Small and Medium Enterprises
      14.14.2 Large Enterprises
   14.15 Basis Point Share (BPS) Analysis By Organization Size 
   14.16 Absolute $ Opportunity Assessment By Organization Size 
   14.17 Market Attractiveness Analysis By Organization Size
   14.18 Latin America Serverless Computing Market Size Forecast By Industry Vertical
      14.18.1 BFSI
      14.18.2 IT and Telecommunications
      14.18.3 Healthcare
      14.18.4 Retail
      14.18.5 Manufacturing
      14.18.6 Media and Entertainment
      14.18.7 Others
   14.19 Basis Point Share (BPS) Analysis By Industry Vertical 
   14.20 Absolute $ Opportunity Assessment By Industry Vertical 
   14.21 Market Attractiveness Analysis By Industry Vertical

Chapter 15 Middle East & Africa (MEA) Serverless Computing Analysis and Forecast
   15.1 Introduction
   15.2 Middle East & Africa (MEA) Serverless Computing Market Size Forecast by Country
      15.2.1 Saudi Arabia
      15.2.2 South Africa
      15.2.3 UAE
      15.2.4 Rest of Middle East & Africa (MEA)
   15.3 Basis Point Share (BPS) Analysis by Country
   15.4 Absolute $ Opportunity Assessment by Country
   15.5 Market Attractiveness Analysis by Country
   15.6 Middle East & Africa (MEA) Serverless Computing Market Size Forecast By Service Model
      15.6.1 Function as a Service
      15.6.2 Backend as a Service
   15.7 Basis Point Share (BPS) Analysis By Service Model 
   15.8 Absolute $ Opportunity Assessment By Service Model 
   15.9 Market Attractiveness Analysis By Service Model
   15.10 Middle East & Africa (MEA) Serverless Computing Market Size Forecast By Deployment Model
      15.10.1 Public Cloud
      15.10.2 Private Cloud
      15.10.3 Hybrid Cloud
   15.11 Basis Point Share (BPS) Analysis By Deployment Model 
   15.12 Absolute $ Opportunity Assessment By Deployment Model 
   15.13 Market Attractiveness Analysis By Deployment Model
   15.14 Middle East & Africa (MEA) Serverless Computing Market Size Forecast By Organization Size
      15.14.1 Small and Medium Enterprises
      15.14.2 Large Enterprises
   15.15 Basis Point Share (BPS) Analysis By Organization Size 
   15.16 Absolute $ Opportunity Assessment By Organization Size 
   15.17 Market Attractiveness Analysis By Organization Size
   15.18 Middle East & Africa (MEA) Serverless Computing Market Size Forecast By Industry Vertical
      15.18.1 BFSI
      15.18.2 IT and Telecommunications
      15.18.3 Healthcare
      15.18.4 Retail
      15.18.5 Manufacturing
      15.18.6 Media and Entertainment
      15.18.7 Others
   15.19 Basis Point Share (BPS) Analysis By Industry Vertical 
   15.20 Absolute $ Opportunity Assessment By Industry Vertical 
   15.21 Market Attractiveness Analysis By Industry Vertical

Chapter 16 Competition Landscape 
   16.1 Serverless Computing Market: Competitive Dashboard
   16.2 Global Serverless Computing Market: Market Share Analysis, 2023
   16.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      16.3.1 Amazon Web Services (AWS)
   Microsoft Azure
   Google Cloud Platform
   IBM Cloud
   Oracle Cloud
   Alibaba Cloud
   Red Hat OpenShift
   Salesforce
   SAP Cloud Platform
   VMware
   Tencent Cloud
   Rackspace Technology
   Cloudflare
   Fastly
   Netlify
   Akamai Technologies
   Twilio
   Auth0
   DigitalOcean
   Heroku

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