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市場調查報告書
商品編碼
1961122

功能即服務市場－全球產業規模、佔有率、趨勢、機會與預測：按服務類型、組織規模、最終用戶、地區和競爭對手分類，2021-2031年

Function as a Service Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Service Type, By Organization Size, By End-User, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 181 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球函數即服務 (FaaS) 市場預計將從 2025 年的 111.4 億美元成長到 2031 年的 348.4 億美元，複合年成長率為 20.93%。

函數即服務 (FaaS) 代表了一種雲端運算範式，它允許用戶端運行事件觸發的程式碼段，而無需配置或管理底層基礎設施。這種成長主要源自於對提高開發人員生產力的需求，以及按需付費使用制模式所帶來的成本效益，這種模式消除了與閒置伺服器容量相關的成本。向現代架構生態系統的廣泛轉變進一步增強了這一發展勢頭，這些生態系統能夠實現無縫整合。例如，根據雲端原生運算基金會 (CNCF) 的報告，到 2025 年，89% 的受訪公司將採用雲端原生技術，為擴展無伺服器應用程式奠定堅實的基礎。

市場概覽
預測期 2027-2031
市場規模：2025年 111.4億美元
市場規模：2031年 348.4億美元
複合年成長率：2026-2031年 20.93%
成長最快的細分市場 小型企業
最大的市場 北美洲

儘管成長指標強勁，但市場仍面臨與性能延遲相關的重大挑戰，即所謂的「冷啟動」。當非活動功能需要時間初始化才能執行時，就會出現此問題，導致延遲，嚴重影響即時工作負載的使用者體驗。因此，這種現象限制了對處理速度要求極高的產業的採用。

市場促進因素

人工智慧 (AI) 和機器學習 (ML) 工作負載的快速部署是全球函數即服務 (FaaS) 市場的主要驅動力。 FaaS 架構特別適用於 AI 推理任務，這類任務通常涉及零星的、事件驅動的請求，需要即時擴展。透過利用無伺服器函數，企業可以根據特定觸發條件（例如資料上傳或使用者查詢）運行 AI 模型，從而避免為應對高峰容量而維護閒置伺服器所帶來的經濟負擔。這種動態資源分配對於後端處理需求波動較大的生成式 AI 應用至關重要。 Postman 於 2024 年 10 月發布的《2024 年 API 趨勢報告》指出，AI 驅動的 API 流量成長了 73%，凸顯了後端處理需求的顯著成長，而可擴展的無伺服器函數正擴大滿足這些需求。

同時，多重雲端和混合雲端策略的擴展正在推動企業採用 FaaS（函數即服務），以避免供應商鎖定並利用最佳組合的服務。無伺服器函數在這些複雜的生態系統中充當敏捷的整合層，促進各種本地系統和公共雲端基礎設施之間的無縫資料傳輸和互通性。這種能力使企業能夠抽像化管理各種底層環境的複雜性，同時保持營運的敏捷性。根據 Dynatrace 於 2024 年 3 月發布的《2024 年可觀測性現況報告》，平均多重雲端環境跨越 12 個不同的平台和服務，凸顯了 FaaS 所提供的整合的重要性。向雲端原生環境的廣泛轉變進一步推動了這一趨勢。 GitLab 2024 年的一項調查發現，55% 的受訪組織表示至少有一半的應用程式運作在雲端。

市場挑戰

效能延遲，尤其是所謂的冷啟動延遲，是函數即服務（FaaS）在對延遲敏感的環境中廣泛應用的主要障礙。當雲端平台在運作一段時間後需要重建函數執行環境時，就會出現這個問題，導致不可預測的延遲，從而擾亂即時工作負載（例如金融交易、線上遊戲和工業IoT自動化）所需的流暢效能。因此，企業往往不願將關鍵的面向客戶的應用程式遷移到無伺服器架構，擔心回應時間的不一致會對用戶滿意度和營運可靠性產生負面影響。

根據IEEE在2024年對運作環境無伺服器架構進行的分析，冷啟動事件會導致執行延遲，延遲時間從500毫秒到2秒不等，取決於函數的複雜性和依賴關係。這種延遲的波動性常常與對高速處理要求嚴格的行業所需的性能服務等級協定（SLA）相衝突。因此，這項技術限制嚴重限制了無伺服器架構的應用目標市場，因為它主要將無伺服器部署限制在非同步後台和批次任務上，而無法滿足關鍵的即時運算需求。

市場趨勢

功能即服務 (FaaS) 與邊緣運算的融合正在從根本上重塑資料處理架構，將執行邏輯轉移到網路邊緣。與集中式雲端模式不同，此趨勢透過直接在物聯網設備和本地閘道器等資料來源進行處理，滿足了降低頻寬消耗和延遲的關鍵需求。這種架構轉變使企業能夠在發送高速資料流之前對其進行本地過濾和分析，從而提高資源利用效率並增強隱私合規性。根據 ITPro Today 於 2025 年 7 月發布的《2025 年邊緣運算趨勢報告》，36% 的組織正在採用混合雲端-邊緣模型來支援分散式工作負載，這表明市場正在向本地化、事件驅動的處理環境轉變，這些環境可以在傳統資料中心之外無縫運行。

同時，Kubernetes 和無伺服器運算平台的整合正在彌合基礎設施控制與開發者抽象之間的鴻溝。這一趨勢的驅動力在於容器化無伺服器服務的普及，它允許開發者將功能封裝在容器內，從而克服標準 FaaS 環境常見的運行時和依賴性限制。透過利用編配工具，企業將容器的可移植性與無伺服器的自動擴展優勢結合，為微服務建立統一的運維標準。正如 Datadog 於 2025 年 11 月發布的《2025 年容器與無伺服器現狀報告》所指出的，66% 使用無伺服器功能的企業也至少使用了一種容器編排管理服務，這凸顯了企業越來越依賴這種融合方法來管理複雜且可擴展的應用程式。

目錄

第1章概述

第2章：調查方法

第3章執行摘要

第4章：客戶心聲

第5章：全球功能即服務市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 依服務類型（自動化、整合、微服務監控、API）
    • 按組織規模（中小企業和大型企業）
    • 依最終用戶分類（銀行、金融、保險；電信、科技；零售；其他）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美功能即服務市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國別分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲功能即服務市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國別分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區功能即服務市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國別分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東和非洲功能即服務市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東與非洲：國別分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲功能即服務市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國別分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進因素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 近期趨勢

第13章：全球功能即服務市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商的議價能力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • Amazon Web Services, Inc.
  • IBM Corporation
  • Alphabet Inc.
  • Microsoft Corporation
  • SAP SE
  • Cloud Software Group, Inc.
  • Manjrasoft Pty Ltd
  • Infosys Limited
  • Dynatrace LLC
  • Rackspace Technology

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 24155

The Global Function as a Service Market is projected to expand from USD 11.14 Billion in 2025 to USD 34.84 Billion by 2031, reflecting a CAGR of 20.93%. Function as a Service (FaaS) represents a cloud computing paradigm that allows clients to run event-triggered code segments without the need to provision or manage the underlying infrastructure. This growth is primarily driven by the desire for improved developer productivity and the cost benefits of pay-as-you-go billing, which removes expenses associated with idle server capacity. This momentum is further reinforced by the widespread shift toward modern architectural ecosystems that enable smooth integration. For instance, the Cloud Native Computing Foundation reported that by 2025, 89% of surveyed enterprises had embraced cloud-native technologies, establishing a strong base for scaling serverless applications.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 11.14 Billion
Market Size 2031USD 34.84 Billion
CAGR 2026-203120.93%
Fastest Growing SegmentSmall & Medium Enterprise
Largest MarketNorth America

Despite these positive growth indicators, the market confronts a significant obstacle related to performance latency, known as cold starts. This issue arises when an inactive function requires time to initialize before execution, a delay that can severely harm the user experience for real-time workloads. Consequently, this phenomenon limits adoption in industries that demand instantaneous processing speeds.

Market Driver

The rapid deployment of Artificial Intelligence (AI) and Machine Learning (ML) workloads acts as a major catalyst for the Global Function as a Service Market. FaaS architectures are particularly well-suited for AI inference tasks, which often involve sporadic, event-driven demands requiring immediate scalability. By employing serverless functions, organizations can execute AI models based on specific triggers-such as data uploads or user inquiries-avoiding the financial burden of maintaining idle servers for peak capacity. This dynamic resource allocation is crucial for generative AI applications, where backend processing needs vary significantly. The '2024 State of the API Report' by Postman in October 2024 noted a 73% rise in AI-driven API traffic, highlighting the substantial increase in backend processing requirements that scalable serverless functions are increasingly handling.

Simultaneously, the expansion of multi-cloud and hybrid cloud strategies is boosting FaaS adoption as enterprises aim to avoid vendor lock-in and utilize best-of-breed services. Serverless functions act as an agile integration layer within these complex ecosystems, facilitating seamless data transfer and interoperability between various on-premise systems and public cloud infrastructures. This capability allows businesses to abstract the complexity of managing diverse underlying environments while maintaining operational agility. As per the 'State of Observability 2024' report by Dynatrace in March 2024, the average multicloud environment spans 12 different platforms and services, emphasizing the necessity for the cohesive integration that FaaS offers. This trend is further supported by the broader move toward cloud-native environments; GitLab reported in 2024 that 55% of surveyed organizations ran at least half of their applications in the cloud.

Market Challenge

Performance latency, specifically the issue known as cold starts, poses a formidable barrier to the widespread application of Function as a Service in latency-sensitive environments. This problem occurs when a cloud platform must create a new execution environment for a function following a period of inactivity, resulting in unpredictable delays that disrupt the smooth performance required for real-time workloads such as financial trading, online gaming, and industrial IoT automation. Consequently, enterprises are often reluctant to migrate mission-critical, customer-facing applications to serverless architectures, fearing that inconsistent response times will negatively affect user satisfaction and operational reliability.

According to an analysis of production serverless environments by the IEEE in 2024, cold start events can cause execution delays ranging from 500 milliseconds to 2 seconds, depending on the complexity of the function and its dependencies. Such latency variance is frequently incompatible with the strict performance service level agreements demanded by high-velocity sectors. As a result, this technical limitation severely restricts the addressable market by limiting serverless adoption primarily to asynchronous background processes or batch processing tasks, rather than essential, real-time computing needs.

Market Trends

The integration of Function as a Service with Edge Computing is fundamentally reshaping data processing architectures by moving execution logic to the network periphery. In contrast to centralized cloud models, this trend addresses the critical need to lower bandwidth consumption and latency by processing data directly at the source, such as on IoT devices and local gateways. This architectural shift allows enterprises to filter and analyze high-velocity data streams locally before transmission, ensuring efficient resource utilization and enhanced privacy compliance. According to the '2025 Edge Computing Trends Report' by ITPro Today in July 2025, 36% of organizations have implemented a hybrid cloud-edge model to support these distributed workloads, validating the market's move toward localized, event-driven processing environments that operate seamlessly outside traditional data centers.

At the same time, the convergence of Kubernetes and Serverless Computing Platforms is bridging the gap between infrastructure control and developer abstraction. This trend is driven by the adoption of container-based serverless offerings, which enable developers to encapsulate functions within containers, thereby overcoming the duration limits and dependency restrictions typical of standard FaaS environments. By leveraging orchestration tools, organizations gain the portability of containers alongside the auto-scaling benefits of serverless, creating a unified operational standard for microservices. As highlighted in the '2025 State of Containers and Serverless' report by Datadog in November 2025, 66% of organizations utilizing serverless functions also use at least one container orchestration service, underscoring the increasing reliance on this converged approach to manage complex, scalable applications.

Key Market Players

  • Amazon Web Services, Inc.
  • IBM Corporation
  • Alphabet Inc.
  • Microsoft Corporation
  • SAP SE
  • Cloud Software Group, Inc.
  • Manjrasoft Pty Ltd
  • Infosys Limited
  • Dynatrace LLC
  • Rackspace Technology

Report Scope

In this report, the Global Function as a Service Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Function as a Service Market, By Service Type

  • Automation
  • Integration
  • Microservice Monitoring
  • API

Function as a Service Market, By Organization Size

  • Small & Medium Enterprises
  • Large Enterprises

Function as a Service Market, By End-User

  • BFSI
  • Communication and Technology
  • Retail
  • Others

Function as a Service Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Function as a Service Market.

Available Customizations:

Global Function as a Service Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

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

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Function as a Service Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Service Type (Automation, Integration, Microservice Monitoring, and API)
    • 5.2.2. By Organization Size (Small & Medium Enterprises and Large Enterprises)
    • 5.2.3. By End-User (BFSI, Communication and Technology, Retail, and Others)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Function as a Service Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Service Type
    • 6.2.2. By Organization Size
    • 6.2.3. By End-User
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Function as a Service Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Service Type
        • 6.3.1.2.2. By Organization Size
        • 6.3.1.2.3. By End-User
    • 6.3.2. Canada Function as a Service Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Service Type
        • 6.3.2.2.2. By Organization Size
        • 6.3.2.2.3. By End-User
    • 6.3.3. Mexico Function as a Service Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Service Type
        • 6.3.3.2.2. By Organization Size
        • 6.3.3.2.3. By End-User

7. Europe Function as a Service Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Service Type
    • 7.2.2. By Organization Size
    • 7.2.3. By End-User
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Function as a Service Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Service Type
        • 7.3.1.2.2. By Organization Size
        • 7.3.1.2.3. By End-User
    • 7.3.2. France Function as a Service Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Service Type
        • 7.3.2.2.2. By Organization Size
        • 7.3.2.2.3. By End-User
    • 7.3.3. United Kingdom Function as a Service Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Service Type
        • 7.3.3.2.2. By Organization Size
        • 7.3.3.2.3. By End-User
    • 7.3.4. Italy Function as a Service Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Service Type
        • 7.3.4.2.2. By Organization Size
        • 7.3.4.2.3. By End-User
    • 7.3.5. Spain Function as a Service Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Service Type
        • 7.3.5.2.2. By Organization Size
        • 7.3.5.2.3. By End-User

8. Asia Pacific Function as a Service Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Service Type
    • 8.2.2. By Organization Size
    • 8.2.3. By End-User
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Function as a Service Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Service Type
        • 8.3.1.2.2. By Organization Size
        • 8.3.1.2.3. By End-User
    • 8.3.2. India Function as a Service Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Service Type
        • 8.3.2.2.2. By Organization Size
        • 8.3.2.2.3. By End-User
    • 8.3.3. Japan Function as a Service Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Service Type
        • 8.3.3.2.2. By Organization Size
        • 8.3.3.2.3. By End-User
    • 8.3.4. South Korea Function as a Service Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Service Type
        • 8.3.4.2.2. By Organization Size
        • 8.3.4.2.3. By End-User
    • 8.3.5. Australia Function as a Service Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Service Type
        • 8.3.5.2.2. By Organization Size
        • 8.3.5.2.3. By End-User

9. Middle East & Africa Function as a Service Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Service Type
    • 9.2.2. By Organization Size
    • 9.2.3. By End-User
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Function as a Service Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Service Type
        • 9.3.1.2.2. By Organization Size
        • 9.3.1.2.3. By End-User
    • 9.3.2. UAE Function as a Service Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Service Type
        • 9.3.2.2.2. By Organization Size
        • 9.3.2.2.3. By End-User
    • 9.3.3. South Africa Function as a Service Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Service Type
        • 9.3.3.2.2. By Organization Size
        • 9.3.3.2.3. By End-User

10. South America Function as a Service Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Service Type
    • 10.2.2. By Organization Size
    • 10.2.3. By End-User
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Function as a Service Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Service Type
        • 10.3.1.2.2. By Organization Size
        • 10.3.1.2.3. By End-User
    • 10.3.2. Colombia Function as a Service Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Service Type
        • 10.3.2.2.2. By Organization Size
        • 10.3.2.2.3. By End-User
    • 10.3.3. Argentina Function as a Service Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Service Type
        • 10.3.3.2.2. By Organization Size
        • 10.3.3.2.3. By End-User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Function as a Service Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Amazon Web Services, Inc.
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. IBM Corporation
  • 15.3. Alphabet Inc.
  • 15.4. Microsoft Corporation
  • 15.5. SAP SE
  • 15.6. Cloud Software Group, Inc.
  • 15.7. Manjrasoft Pty Ltd
  • 15.8. Infosys Limited
  • 15.9. Dynatrace LLC
  • 15.10. Rackspace Technology

16. Strategic Recommendations

17. About Us & Disclaimer