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Function as a Service Market Size, Share & Trends Analysis Report By Type (Developer-Centric and Operator-Centric), By Enterprise Size, By Deployment, By End-use, By Regional Outlook and Forecast, 2024 - 2031

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    Report

  • 311 Pages
  • February 2025
  • Region: Global
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6056183
The Global Function as a Service Market size is expected to reach $72.52 billion by 2031, rising at a market growth of 25.6% CAGR during the forecast period.

The adoption of telemedicine, electronic health records (EHRs), AI-based diagnostics, and real-time patient monitoring has accelerated the shift toward serverless computing in healthcare. FaaS solutions are helping healthcare providers, pharmaceutical companies, and research institutions manage large-scale data analytics, machine learning models for disease prediction, and HIPAA-compliant cloud storage. Additionally, the healthcare & life sciences segment witnessed 12% revenue share in the market in 2023. Furthermore, the incorporation of the IoT within the healthcare sector for remote patient monitoring has significantly heightened the demand for serverless architectures, which facilitate the efficient processing and analysis of real-time health data.



The rise of edge AI and IoT-driven applications has further accelerated the adoption of serverless AI. As more connected devices and sensors generate vast amounts of real-time data, FaaS enables organizations to process AI-driven insights at the edge, reducing latency and improving response times. This benefits industries like healthcare, manufacturing, and autonomous vehicles, where real-time data processing is critical for decision-making. Furthermore, the cost-efficiency of serverless computing is a major driver of its widespread adoption. Since FaaS follows a pay-as-you-go pricing model, businesses only pay for the execution time of functions rather than maintaining costly idle server instances. This makes it particularly appealing to startups, enterprises, and organizations looking to optimize IT budgets. Cloud providers such as AWS Lambda, Azure Functions, and Google Cloud Functions offer robust FaaS solutions that seamlessly integrate with existing cloud ecosystems, making it easier for businesses to adopt serverless computing. Hence, these factors will aid in the expansion of the market.

However, the distributed and event-driven nature of serverless functions can further contribute to performance inefficiencies. Since FaaS often relies on multiple services communicating over a network, network latency, dependency resolution, and data transfer times can collectively impact overall execution speed. Developers need to carefully design and optimize function execution workflows to minimize delays, such as using warm functions, caching strategies, and keeping function sizes lightweight. However, these optimizations require additional development efforts and expertise, making adoption more challenging for enterprises seeking seamless scalability without compromising speed. Hence, these limitations may impede the expansion of the market.

Driving and Restraining Factors

Drivers

  • Rising Adoption of Serverless Computing
  • Expansion of IoT and Edge Computing
  • Growth of AI and Machine Learning Applications

Restraints

  • Substantial Latency and Performance Issues
  • High Execution Costs for Long-running Workloads

Opportunities

  • Growing Popularity of Event-Driven Architectures
  • Increasing Deployment of Microservices-Based Applications

Challenges

  • Security and Compliance Concerns
  • Lack of Standardization Across Different Cloud Providers

Type Outlook

Based on type, the market is bifurcated into developer-centric and operator-centric. The operator-centric FaaS segment procured 37% revenue share in the market in 2023. Organizations adopting hybrid and multi-cloud strategies require solutions that provide greater control over function execution, monitoring, and security compliance, making operator-centric FaaS an essential component of their cloud architecture. The growing complexity of IT operations, the demand for better resource utilization, and enhanced security and compliance are key drivers in this segment. Enterprises looking for improved fault tolerance, performance monitoring, and cost optimization integrate operator-centric FaaS solutions into their cloud ecosystems, leveraging technologies like OpenFaaS, Knative, and Apache OpenWhisk.

Deployment Outlook

On the basis of deployment, the market is classified into public cloud, private cloud, and hybrid cloud. The private cloud segment recorded 31% revenue share in the market in 2023. Industries such as banking, healthcare, government, and defense prefer private cloud FaaS solutions as they offer greater control over data security, access management, and compliance with regulatory frameworks like GDPR, HIPAA, and PCI DSS. Organizations that manage sensitive consumer information or proprietary data frequently choose on-premise or private cloud FaaS implementations. This approach facilitates enhanced performance, reduced latency, and effective risk mitigation.

Enterprise Size Outlook

By enterprise size, the market is divided into large enterprises and small & medium-sized enterprises. The large enterprises segment witnessed 54% revenue share in the market in 2023. Large organizations across industries such as BFSI, healthcare, retail, telecom, and manufacturing leverage FaaS to enhance operational efficiency, streamline application development, and manage fluctuating workloads efficiently. With the growing demand for AI, big data analytics, IoT, and automation, enterprises increasingly adopt serverless computing to optimize cloud resource utilization while reducing infrastructure management complexities. Additionally, multi-cloud and hybrid cloud strategies have driven enterprise adoption of FaaS, enabling businesses to build scalable, event-driven applications while maintaining security and compliance standards.



End-use Outlook

Based on end-use, the market is segmented into IT & telecom, BFSI, retail & consumer goods, healthcare & life sciences, government & defense, transportation & logistics, manufacturing, and others. The BFSI segment procured 20% revenue share in the market in 2023. The industry's growing reliance on cloud-based financial services, digital banking, and real-time transaction processing drives the segment. With the rapid adoption of AI-powered fraud detection, risk management, and automated trading systems, financial institutions increasingly leverage serverless architectures to efficiently handle high-volume data processing and customer interactions. Additionally, the rising demand for secure, scalable, and cost-effective cloud solutions in BFSI has fueled the adoption of FaaS for payment gateways, fraud analytics, and regulatory compliance monitoring.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment garnered 37% revenue share in the market in 2023. The growing use of serverless computing by businesses, especially in the BFSI, IT & telecom, healthcare, and e-commerce sectors, is responsible for the region's supremacy. Additionally, the rise of DevOps, microservices architecture, and edge computing has fueled FaaS adoption across various industries. Moreover, the shift towards hybrid and multi-cloud strategies and government initiatives supporting cloud computing has further strengthened the demand for FaaS solutions. The expanding startup ecosystem and increasing venture capital investments in cloud-based innovations have also played a crucial role in market growth.

Recent Strategies Deployed in the Market

  • Jan-2025: Google LLC and ServiceNow expanded their partnership to integrate AI-powered workflows, CRM, and ITSM solutions with Google Cloud Marketplace and Distributed Cloud. The collaboration enhances enterprise automation, data integration with BigQuery, and AI-driven decision-making, benefiting businesses across various industries.
  • Nov-2024: Google LLC and NTT DATA expand its partnership to accelerate AI and data analytics adoption in APAC. A dedicated business unit will drive cloud solutions, industry-specific innovations, and workforce upskilling, aiming for a 10x cloud business growth in three years.
  • Sep-2024: Amazon Web Services, Inc. and Oracle came into partnership to announced Oracle Database@AWS, enabling access to Oracle Autonomous Database and Oracle Exadata Database Service on AWS. This partnership simplifies cloud migration, enhances security, and provides seamless integration with AWS services, benefiting enterprises across industries with improved scalability and performance.
  • Jun-2024: IBM Corporation and Telefónica Tech came into collaboration to develop AI, analytics, and data management solutions, launching SHARK.X, a hybrid multi-cloud platform. They will create a use case office, offer training, and accelerate digital transformation for businesses and public administration.
  • May-2024: IBM Corporation and Salesforce expanded their partnership to enhance AI and data capabilities by integrating Watsonx AI with Einstein 1. The collaboration enables bidirectional data integration, flexible LLMs, and AI-driven automation, improving customer workflows and supporting responsible AI development.

List of Key Companies Profiled

  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC (Alphabet Inc.)
  • Oracle Corporation
  • IBM Corporation
  • Microsoft Corporation
  • SAP SE
  • Dynatrace, Inc.
  • Infosys Limited
  • Alibaba Cloud (Alibaba Group Holding Limited)
  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)

Market Report Segmentation

By Type

  • Developer-Centric
  • Operator-Centric

By Enterprise Size

  • Large Enterprises
  • Small & Medium-sized Enterprises

By Deployment

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

By End-use

  • BFSI
  • IT & Telecom
  • Retail & Consumer Goods
  • Healthcare & Life Sciences
  • Manufacturing
  • Government & Defense
  • Transportation & Logistics
  • Other End-use

By Geography

  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
  • LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Function as a Service Market, by Type
1.4.2 Global Function as a Service Market, by Enterprise Size
1.4.3 Global Function as a Service Market, by Deployment
1.4.4 Global Function as a Service Market, by End-use
1.4.5 Global Function as a Service Market, by Geography
1.5 Methodology for the Research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Challenges
Chapter 4. Competition Analysis - Global
4.1 Market Share Analysis, 2023
4.2 Strategies Deployed in Function as a Service Market
4.3 Porter Five Forces Analysis
Chapter 5. Global Function as a Service Market by Type
5.1 Global Developer-Centric Market by Region
5.2 Global Operator-Centric Market by Region
Chapter 6. Global Function as a Service Market by Enterprise Size
6.1 Global Large Enterprises Market by Region
6.2 Global Small & Medium-sized Enterprises Market by Region
Chapter 7. Global Function as a Service Market by Deployment
7.1 Global Public Cloud Market by Region
7.2 Global Private Cloud Market by Region
7.3 Global Hybrid Cloud Market by Region
Chapter 8. Global Function as a Service Market by End-use
8.1 Global BFSI Market by Region
8.2 Global IT & Telecom Market by Region
8.3 Global Retail & Consumer Goods Market by Region
8.4 Global Healthcare & Life Sciences Market by Region
8.5 Global Manufacturing Market by Region
8.6 Global Government & Defense Market by Region
8.7 Global Transportation & Logistics Market by Region
8.8 Global Other End-use Market by Region
Chapter 9. Global Function as a Service Market by Region
9.1 North America Function as a Service Market
9.1.1 North America Function as a Service Market by Type
9.1.1.1 North America Developer-Centric Market by Region
9.1.1.2 North America Operator-Centric Market by Region
9.1.2 North America Function as a Service Market by Enterprise Size
9.1.2.1 North America Large Enterprises Market by Country
9.1.2.2 North America Small & Medium-sized Enterprises Market by Country
9.1.3 North America Function as a Service Market by Deployment
9.1.3.1 North America Public Cloud Market by Country
9.1.3.2 North America Private Cloud Market by Country
9.1.3.3 North America Hybrid Cloud Market by Country
9.1.4 North America Function as a Service Market by End-use
9.1.4.1 North America BFSI Market by Country
9.1.4.2 North America IT & Telecom Market by Country
9.1.4.3 North America Retail & Consumer Goods Market by Country
9.1.4.4 North America Healthcare & Life Sciences Market by Country
9.1.4.5 North America Manufacturing Market by Country
9.1.4.6 North America Government & Defense Market by Country
9.1.4.7 North America Transportation & Logistics Market by Country
9.1.4.8 North America Other End-use Market by Country
9.1.5 North America Function as a Service Market by Country
9.1.5.1 US Function as a Service Market
9.1.5.1.1 US Function as a Service Market by Type
9.1.5.1.2 US Function as a Service Market by Enterprise Size
9.1.5.1.3 US Function as a Service Market by Deployment
9.1.5.1.4 US Function as a Service Market by End-use
9.1.5.2 Canada Function as a Service Market
9.1.5.2.1 Canada Function as a Service Market by Type
9.1.5.2.2 Canada Function as a Service Market by Enterprise Size
9.1.5.2.3 Canada Function as a Service Market by Deployment
9.1.5.2.4 Canada Function as a Service Market by End-use
9.1.5.3 Mexico Function as a Service Market
9.1.5.3.1 Mexico Function as a Service Market by Type
9.1.5.3.2 Mexico Function as a Service Market by Enterprise Size
9.1.5.3.3 Mexico Function as a Service Market by Deployment
9.1.5.3.4 Mexico Function as a Service Market by End-use
9.1.5.4 Rest of North America Function as a Service Market
9.1.5.4.1 Rest of North America Function as a Service Market by Type
9.1.5.4.2 Rest of North America Function as a Service Market by Enterprise Size
9.1.5.4.3 Rest of North America Function as a Service Market by Deployment
9.1.5.4.4 Rest of North America Function as a Service Market by End-use
9.2 Europe Function as a Service Market
9.2.1 Europe Function as a Service Market by Type
9.2.1.1 Europe Developer-Centric Market by Country
9.2.1.2 Europe Operator-Centric Market by Country
9.2.2 Europe Function as a Service Market by Enterprise Size
9.2.2.1 Europe Large Enterprises Market by Country
9.2.2.2 Europe Small & Medium-sized Enterprises Market by Country
9.2.3 Europe Function as a Service Market by Deployment
9.2.3.1 Europe Public Cloud Market by Country
9.2.3.2 Europe Private Cloud Market by Country
9.2.3.3 Europe Hybrid Cloud Market by Country
9.2.4 Europe Function as a Service Market by End-use
9.2.4.1 Europe BFSI Market by Country
9.2.4.2 Europe IT & Telecom Market by Country
9.2.4.3 Europe Retail & Consumer Goods Market by Country
9.2.4.4 Europe Healthcare & Life Sciences Market by Country
9.2.4.5 Europe Manufacturing Market by Country
9.2.4.6 Europe Government & Defense Market by Country
9.2.4.7 Europe Transportation & Logistics Market by Country
9.2.4.8 Europe Other End-use Market by Country
9.2.5 Europe Function as a Service Market by Country
9.2.5.1 Germany Function as a Service Market
9.2.5.1.1 Germany Function as a Service Market by Type
9.2.5.1.2 Germany Function as a Service Market by Enterprise Size
9.2.5.1.3 Germany Function as a Service Market by Deployment
9.2.5.1.4 Germany Function as a Service Market by End-use
9.2.5.2 UK Function as a Service Market
9.2.5.2.1 UK Function as a Service Market by Type
9.2.5.2.2 UK Function as a Service Market by Enterprise Size
9.2.5.2.3 UK Function as a Service Market by Deployment
9.2.5.2.4 UK Function as a Service Market by End-use
9.2.5.3 France Function as a Service Market
9.2.5.3.1 France Function as a Service Market by Type
9.2.5.3.2 France Function as a Service Market by Enterprise Size
9.2.5.3.3 France Function as a Service Market by Deployment
9.2.5.3.4 France Function as a Service Market by End-use
9.2.5.4 Russia Function as a Service Market
9.2.5.4.1 Russia Function as a Service Market by Type
9.2.5.4.2 Russia Function as a Service Market by Enterprise Size
9.2.5.4.3 Russia Function as a Service Market by Deployment
9.2.5.4.4 Russia Function as a Service Market by End-use
9.2.5.5 Spain Function as a Service Market
9.2.5.5.1 Spain Function as a Service Market by Type
9.2.5.5.2 Spain Function as a Service Market by Enterprise Size
9.2.5.5.3 Spain Function as a Service Market by Deployment
9.2.5.5.4 Spain Function as a Service Market by End-use
9.2.5.6 Italy Function as a Service Market
9.2.5.6.1 Italy Function as a Service Market by Type
9.2.5.6.2 Italy Function as a Service Market by Enterprise Size
9.2.5.6.3 Italy Function as a Service Market by Deployment
9.2.5.6.4 Italy Function as a Service Market by End-use
9.2.5.7 Rest of Europe Function as a Service Market
9.2.5.7.1 Rest of Europe Function as a Service Market by Type
9.2.5.7.2 Rest of Europe Function as a Service Market by Enterprise Size
9.2.5.7.3 Rest of Europe Function as a Service Market by Deployment
9.2.5.7.4 Rest of Europe Function as a Service Market by End-use
9.3 Asia Pacific Function as a Service Market
9.3.1 Asia Pacific Function as a Service Market by Type
9.3.1.1 Asia Pacific Developer-Centric Market by Country
9.3.1.2 Asia Pacific Operator-Centric Market by Country
9.3.2 Asia Pacific Function as a Service Market by Enterprise Size
9.3.2.1 Asia Pacific Large Enterprises Market by Country
9.3.2.2 Asia Pacific Small & Medium-sized Enterprises Market by Country
9.3.3 Asia Pacific Function as a Service Market by Deployment
9.3.3.1 Asia Pacific Public Cloud Market by Country
9.3.3.2 Asia Pacific Private Cloud Market by Country
9.3.3.3 Asia Pacific Hybrid Cloud Market by Country
9.3.4 Asia Pacific Function as a Service Market by End-use
9.3.4.1 Asia Pacific BFSI Market by Country
9.3.4.2 Asia Pacific IT & Telecom Market by Country
9.3.4.3 Asia Pacific Retail & Consumer Goods Market by Country
9.3.4.4 Asia Pacific Healthcare & Life Sciences Market by Country
9.3.4.5 Asia Pacific Manufacturing Market by Country
9.3.4.6 Asia Pacific Government & Defense Market by Country
9.3.4.7 Asia Pacific Transportation & Logistics Market by Country
9.3.4.8 Asia Pacific Other End-use Market by Country
9.3.5 Asia Pacific Function as a Service Market by Country
9.3.5.1 China Function as a Service Market
9.3.5.1.1 China Function as a Service Market by Type
9.3.5.1.2 China Function as a Service Market by Enterprise Size
9.3.5.1.3 China Function as a Service Market by Deployment
9.3.5.1.4 China Function as a Service Market by End-use
9.3.5.2 Japan Function as a Service Market
9.3.5.2.1 Japan Function as a Service Market by Type
9.3.5.2.2 Japan Function as a Service Market by Enterprise Size
9.3.5.2.3 Japan Function as a Service Market by Deployment
9.3.5.2.4 Japan Function as a Service Market by End-use
9.3.5.3 India Function as a Service Market
9.3.5.3.1 India Function as a Service Market by Type
9.3.5.3.2 India Function as a Service Market by Enterprise Size
9.3.5.3.3 India Function as a Service Market by Deployment
9.3.5.3.4 India Function as a Service Market by End-use
9.3.5.4 South Korea Function as a Service Market
9.3.5.4.1 South Korea Function as a Service Market by Type
9.3.5.4.2 South Korea Function as a Service Market by Enterprise Size
9.3.5.4.3 South Korea Function as a Service Market by Deployment
9.3.5.4.4 South Korea Function as a Service Market by End-use
9.3.5.5 Singapore Function as a Service Market
9.3.5.5.1 Singapore Function as a Service Market by Type
9.3.5.5.2 Singapore Function as a Service Market by Enterprise Size
9.3.5.5.3 Singapore Function as a Service Market by Deployment
9.3.5.5.4 Singapore Function as a Service Market by End-use
9.3.5.6 Malaysia Function as a Service Market
9.3.5.6.1 Malaysia Function as a Service Market by Type
9.3.5.6.2 Malaysia Function as a Service Market by Enterprise Size
9.3.5.6.3 Malaysia Function as a Service Market by Deployment
9.3.5.6.4 Malaysia Function as a Service Market by End-use
9.3.5.7 Rest of Asia Pacific Function as a Service Market
9.3.5.7.1 Rest of Asia Pacific Function as a Service Market by Type
9.3.5.7.2 Rest of Asia Pacific Function as a Service Market by Enterprise Size
9.3.5.7.3 Rest of Asia Pacific Function as a Service Market by Deployment
9.3.5.7.4 Rest of Asia Pacific Function as a Service Market by End-use
9.4 LAMEA Function as a Service Market
9.4.1 LAMEA Function as a Service Market by Type
9.4.1.1 LAMEA Developer-Centric Market by Country
9.4.1.2 LAMEA Operator-Centric Market by Country
9.4.2 LAMEA Function as a Service Market by Enterprise Size
9.4.2.1 LAMEA Large Enterprises Market by Country
9.4.2.2 LAMEA Small & Medium-sized Enterprises Market by Country
9.4.3 LAMEA Function as a Service Market by Deployment
9.4.3.1 LAMEA Public Cloud Market by Country
9.4.3.2 LAMEA Private Cloud Market by Country
9.4.3.3 LAMEA Hybrid Cloud Market by Country
9.4.4 LAMEA Function as a Service Market by End-use
9.4.4.1 LAMEA BFSI Market by Country
9.4.4.2 LAMEA IT & Telecom Market by Country
9.4.4.3 LAMEA Retail & Consumer Goods Market by Country
9.4.4.4 LAMEA Healthcare & Life Sciences Market by Country
9.4.4.5 LAMEA Manufacturing Market by Country
9.4.4.6 LAMEA Government & Defense Market by Country
9.4.4.7 LAMEA Transportation & Logistics Market by Country
9.4.4.8 LAMEA Other End-use Market by Country
9.4.5 LAMEA Function as a Service Market by Country
9.4.5.1 Brazil Function as a Service Market
9.4.5.1.1 Brazil Function as a Service Market by Type
9.4.5.1.2 Brazil Function as a Service Market by Enterprise Size
9.4.5.1.3 Brazil Function as a Service Market by Deployment
9.4.5.1.4 Brazil Function as a Service Market by End-use
9.4.5.2 Argentina Function as a Service Market
9.4.5.2.1 Argentina Function as a Service Market by Type
9.4.5.2.2 Argentina Function as a Service Market by Enterprise Size
9.4.5.2.3 Argentina Function as a Service Market by Deployment
9.4.5.2.4 Argentina Function as a Service Market by End-use
9.4.5.3 UAE Function as a Service Market
9.4.5.3.1 UAE Function as a Service Market by Type
9.4.5.3.2 UAE Function as a Service Market by Enterprise Size
9.4.5.3.3 UAE Function as a Service Market by Deployment
9.4.5.3.4 UAE Function as a Service Market by End-use
9.4.5.4 Saudi Arabia Function as a Service Market
9.4.5.4.1 Saudi Arabia Function as a Service Market by Type
9.4.5.4.2 Saudi Arabia Function as a Service Market by Enterprise Size
9.4.5.4.3 Saudi Arabia Function as a Service Market by Deployment
9.4.5.4.4 Saudi Arabia Function as a Service Market by End-use
9.4.5.5 South Africa Function as a Service Market
9.4.5.5.1 South Africa Function as a Service Market by Type
9.4.5.5.2 South Africa Function as a Service Market by Enterprise Size
9.4.5.5.3 South Africa Function as a Service Market by Deployment
9.4.5.5.4 South Africa Function as a Service Market by End-use
9.4.5.6 Nigeria Function as a Service Market
9.4.5.6.1 Nigeria Function as a Service Market by Type
9.4.5.6.2 Nigeria Function as a Service Market by Enterprise Size
9.4.5.6.3 Nigeria Function as a Service Market by Deployment
9.4.5.6.4 Nigeria Function as a Service Market by End-use
9.4.5.7 Rest of LAMEA Function as a Service Market
9.4.5.7.1 Rest of LAMEA Function as a Service Market by Type
9.4.5.7.2 Rest of LAMEA Function as a Service Market by Enterprise Size
9.4.5.7.3 Rest of LAMEA Function as a Service Market by Deployment
9.4.5.7.4 Rest of LAMEA Function as a Service Market by End-use
Chapter 10. Company Profiles
10.1 Amazon Web Services, Inc. (Amazon.com, Inc.)
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Recent Strategies and Developments
10.1.4.1 Partnerships, Collaborations, and Agreements
10.1.4.2 Product Launches and Product Expansions
10.1.5 SWOT Analysis
10.2 Google LLC (Alphabet Inc.)
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expenses
10.2.5 Recent Strategies and Developments
10.2.5.1 Partnerships, Collaborations, and Agreements
10.2.6 SWOT Analysis
10.3 Oracle Corporation
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expense
10.3.5 Recent Strategies and Developments
10.3.5.1 Partnerships, Collaborations, and Agreements
10.3.6 SWOT Analysis
10.4 IBM Corporation
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Regional & Segmental Analysis
10.4.4 Research & Development Expenses
10.4.5 Recent Strategies and Developments
10.4.5.1 Partnerships, Collaborations, and Agreements
10.4.6 SWOT Analysis
10.5 Microsoft Corporation
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expenses
10.5.5 Recent Strategies and Developments
10.5.5.1 Partnerships, Collaborations, and Agreements
10.5.6 SWOT Analysis
10.6 SAP SE
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Regional Analysis
10.6.4 Research & Development Expense
10.6.5 Recent Strategies and Developments
10.6.5.1 Partnerships, Collaborations, and Agreements
10.6.6 SWOT Analysis
10.7 Dynatrace, Inc.
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Regional Analysis
10.7.4 Research & Development Expenses
10.7.5 SWOT Analysis
10.8 Infosys Limited
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expense
10.8.5 SWOT Analysis
10.9 Alibaba Cloud (Alibaba Group Holding Limited)
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental Analysis
10.9.4 SWOT Analysis
10.10. Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Research & Development Expenses
10.10.5 SWOT Analysis
Chapter 11. Winning Imperatives of Function as a Service Market

Companies Mentioned

  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC (Alphabet Inc.)
  • Oracle Corporation
  • IBM Corporation
  • Microsoft Corporation
  • SAP SE
  • Dynatrace, Inc.
  • Infosys Limited
  • Alibaba Cloud (Alibaba Group Holding Limited)
  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)

Methodology

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