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サーバーレス・コンピューティングの世界市場-2024-2031

Global Serverless Computing Market - 2024-2031
出版日: | 発行: DataM Intelligence | ページ情報: 英文 226 Pages | 納期: 約2営業日

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サーバーレス・コンピューティングの世界市場-2024-2031
出版日: 2024年02月09日
発行: DataM Intelligence
ページ情報: 英文 226 Pages
納期: 約2営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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  • 目次
概要

概要

世界のサーバーレス・コンピューティング市場は、2023年に93億米ドルに達し、2031年には409億米ドルに達すると予測され、予測期間2024-2031年のCAGRは20.6%で成長します。

ファンクション・アズ・ア・サービスを含むサーバーレス・コンピューティングは、ハードウェア・インフラをユーザーから隠蔽するクラウドサービスです。その結果、ユーザーは基盤となるインフラのプロビジョニングや管理、メンテナンスに煩わされる必要がなくなります。サーバーレス・コンピューティングは、開発とデプロイの両方のプロセスを合理化します。開発者はインフラに煩わされることなくコーディングに集中できるため、新興国市場でアプリケーションを立ち上げるのに必要な時間が短縮されます。

サーバーレス・コンピューティングに対する主要企業の支出の増加は、予測期間中の地域市場の成長を後押しします。例えば、2023年10月10日、クラウドネイティブコンピューティング（CNC）市場の革新的な分析であるOmdiaのCNC Trackerは、サーバーレス・コンピューティングがCNC市場で優勢であることを明らかにしました。さらに、サーバーレスは今後5年間で市場シェアの拡大が見込まれ、優位性を維持する構えであることが予測で示されました。

北米は、技術の早期導入により市場を独占している地域です。同地域の主要企業は新製品を市場に投入し、予測期間における同地域の市場成長を後押ししました。例えば、2023年11月27日、Datadog Inc.は、AWSサーバーレスワークロードのオブザーバビリティとセキュリティサポートを拡張しました。AWSによって導入された機能は、AWS LambdaとStep Functionsのユーザーがセキュリティ脅威を特定し、特定の瞬間のステートマシンのパフォーマンスの包括的な概要を取得し、OpenTelemetryを備えたサービスを監視するのを支援することを目的としています。

ダイナミクス

世界サーバーレス・コンピューティングの費用対効果の高いスケーリング機能

サーバーレス・コンピューティングでは、きめ細かなリソース割り当てが可能なため、組織は特定の機能に対する需要に基づいてリソースを正確にスケーリングできます。組織は、機能の処理中に消費された実際の実行時間とリソースに対してのみ課金されます。従来のクラウド・コンピューティング・モデルでは、費用は主にサーバーのプロビジョニングに影響され、企業は利用率に関係なくサーバーの容量に対して支払いを行う必要があります。従来のクラウド・コンピューティング・モデルでは、費用は主にサーバーのプロビジョニングに影響され、企業は利用率に関係なくサーバーの容量に対して料金を支払う必要があります。

サーバーレス・コンピューティングの使用量に応じた支払いモデルは、よりコスト効率の高いソリューションであり、特にトラフィックが変動するアプリケーションに適しています。このアプローチでは、トラフィックパターンを予測する必要性がなくなり、自動スケーリングが可能になるため、コストが実際の使用量に直接対応するようになります。AWS LambdaやAmazon S3などのサーバーレスアーキテクチャを採用することで、このプラットフォームは、ユーザートラフィックや動画アップロードの急増を効率的に管理しました。

クラウド・コンピューティングの急成長

クラウド・インフラストラクチャの採用が進むにつれ、サーバーレス・コンピューティングに適した環境が整いつつあります。企業がアプリケーションをクラウドに移行するケースが増えており、サーバーレス・クラウドの実装に理想的な環境が整いつつあります。サーバーレス・コンピューティング・サービスは、マイクロソフト・アジュール、グーグル・クラウド・プラットフォーム、アマゾン・ウェブ・サービスなど、主要なクラウド・サービス・プロバイダーによって開発・改良されてきました。このため、サーバーレス・コンピューティングは広く利用可能で、より大きなクラウド・エコシステムに統合されています。

クラウド・コンピューティングは、サーバーレス・コンピューティングの利点に対する認識の高まりによって人気を博しています。クラウドサービスプロバイダーによる教育的イニシアチブの高まりは、主要な主要プレーヤーがスケーラビリティ、コスト、合理化された開発の面でサーバーレス・コンピューティングを活用するのに役立っています。継続的なアップデートとサービスによるクラウドエコシステムのダイナミックな性質が、サーバーレス・コンピューティングの成長を促進しています。きめ細かいアプローチによってリソースの最適な利用が保証され、過剰なプロビジョニングに伴うコストが削減されます。

サーバーレス・コンピューティングに関するセキュリティ上の懸念

サーバーレス環境で機密データを処理・保存する場合、プライバシーとデータセキュリティの問題が生じる。主要なキーパーソンは、サーバーレス・サービスがハッカーやデータへの不正アクセスを防ぐための強固なセキュリティ対策を備えていることを確認する必要があります。サーバーレスシステムでは、適切な許可と認証プロトコルが不可欠です。機能への不正アクセスは、不適切なアクセス制限や設定ミスから生じる可能性があり、個人データの漏洩や有害な活動を引き起こす可能性があります。

サーバーレスアプリケーションは、相互接続された様々なサービスやAPIに依存することが多いです。不適切なネットワーク・セキュリティ対策は、攻撃者が悪用できる脆弱性を露呈する可能性があります。データの傍受や操作を防ぐには、サービス間のセキュアな通信が重要になります。サーバーレス機能では、サードパーティのライブラリや外部依存関係が頻繁に使用されます。これらの依存関係に脆弱性が含まれている場合、攻撃者はサーバーレスアプリケーションのセキュリティを危険にさらすためにそれらを活用できる可能性があります。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 世界のサーバーレス・コンピューティングの費用対効果に優れたスケーリング機能
      • クラウドコンピューティングの急成長
    • 抑制要因
      • サーバーレス・コンピューティングに対するセキュリティ上の懸念
    • 機会
    • 影響分析

第5章 業界分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMIの見解

第6章 COVID-19分析

第7章 サービス別

  • モニタリングサービス
  • API管理サービス
  • 統合サービス
  • セキュリティサービス
  • サポート＆メンテナンス
  • その他

第8章 デプロイメント別

  • プライベートクラウド
  • パブリッククラウド

第9章 企業規模別

  • 大企業
  • 中小企業

第10章 用途別

  • ウェブ・モバイルアプリケーション
  • IoT（モノのインターネット）

第11章 エンドユーザー別

  • BFSI
  • IT・通信
  • 小売
  • ヘルスケア
  • 製造業
  • メディア・娯楽
  • その他

第12章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋地域
  • 中東・アフリカ

第13章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第14章 企業プロファイル

  • Google LLC
    • 会社概要
    • 製品ポートフォリオと説明
    • 財務概要
    • 主な発展
  • Alibaba Cloud
  • CA Technologies
  • Microsoft Corporation
  • Oracle Corporation
  • Dynatrace
  • Fiorano Software Inc.
  • Joyent Inc.
  • Modubiz Ltd.
  • NTT Data Corporation

第15章 付録

目次
Product Code: ICT7934

Overview

Global Serverless Computing Market reached US$ 9.3 Billion in 2023 and is expected to reach US$ 40.9 Billion by 2031, growing with a CAGR of 20.6% during the forecast period 2024-2031.

Serverless computing includes function-as-a-service is a cloud service that conceals the hardware infrastructure from users. As a result, users are relieved from the need to worry about provisioning, administration and maintenance of the underlying infrastructure. Serverless computing streamlines both the development and deployment processes. Developers can concentrate on coding without the necessity of handling infrastructure, thereby diminishing the time required to launch applications in the market.

Growing major key players' spending on serverless computing helps to boost regional market growth over the forecast period. For instance, on October 10, 2023, Omdia's CNC Tracker, an innovative analysis of the cloud-native computing (CNC) market, revealed that serverless computing is the prevailing force in the CNC market. Furthermore, the forecast indicates that serverless is poised to maintain its dominance, with an anticipated increase in market share over the next five years.

North America is a dominating region in the market due to the early adoption of the technologies. Major key players in the region launched new products in the market that helped to boost regional market growth over the forecast period. For instance, on November 27, 2023, Datadog Inc. expanded Observability and Security Support for AWS Serverless Workloads. The features introduced by AWS aim to assist users of AWS Lambda and Step Functions in identifying security threats, obtaining a comprehensive overview of their state machine's performance at a specific moment and monitoring services equipped with OpenTelemetry.

Dynamics

Cost-Effective Scaling Capabilities of Global Serverless Computing

Serverless Computing allows for granular resource allocation, enabling organizations to scale resources precisely based on the demand for specific functions. Organizations are billed only for the actual execution time and resources consumed during the processing of functions. The model aligns costs directly with usage, providing a cost-effective solution for varying workloads.In the conventional cloud computing model, expenses are primarily influenced by server provisioning, requiring businesses to pay for server capacity irrespective of utilization. The frequently leads to over-provisioning to accommodate peak demand, resulting in elevated costs during periods of lower activity.

The pay-per-use model of serverless computing presents a more cost-efficient solution, particularly well-suited for applications experiencing variable traffic. The approach removes the necessity for predicting traffic patterns and enables automatic scaling, ensuring costs directly correspond to real usage. By employing a serverless architecture, such as AWS Lambda and Amazon S3, the platform efficiently managed surges in user traffic and video uploads.

Rapid Growth in the Cloud Computing

The growing adoption of cloud infrastructure has created a conducive environment for serverless computing. Increasingly, companies are moving their apps to the cloud, which provides an ideal environment for serverless cloud to be implemented. Serverless computing services have been created and improved by major cloud service providers including Microsoft Azure, Google Cloud Platform, Amazon Web Services and others. Due to this, serverless computing is widely available and integrated into the larger cloud ecosystem.

Cloud computing has gained popularity due to an increased awareness of the benefits of serverless computing. Growing educational initiatives by cloud service providers have helped major key players to take advantage of serverless computing in terms of scalability, costs, and streamlined development. The dynamic nature of the cloud ecosystem, with continuous updates and services, has facilitated the growth of serverless computing. The fine-tuned approach ensures optimal resource utilization, reducing the costs associated with over-provisioning.

Security Concerns about Serverless Computing

When processing and storing sensitive data in a serverless environment, privacy and data security issues arise. Major key players must confirm that serverless services have robust security measures in place to prevent hackers and unauthorized access to data. In serverless systems, appropriate permission and authentication protocols are essential. Unauthorized access to functions may result from inadequate access restrictions or misconfigurations, which may expose private data or give rise to harmful activity.

Serverless applications often rely on various interconnected services and APIs. Inadequate network security measures may expose vulnerabilities that attackers could exploit. Secure communication between services becomes crucial to prevent data interception or manipulation. Third-party libraries or external dependencies are frequently used by serverless functions. If these dependencies involve vulnerabilities, attackers may be able to leverage them to risk the serverless application's security.

Segment Analysis

The global serverless computing market is segmented based on services, deployment, enterprise size, application, end-user and region.

Growing Demand for Monitoring Services Globally

Based on the services, the serverless computing market is segmented into monitoring services, API management services, integration services, security, support and maintenance and others. Serverless computing often involves distributed architectures where functions are executed in response to events. To see these dispersed components' interactions, performance and overall health, monitoring services become essential.

Robust monitoring solutions are becoming more and more necessary as serverless applications grow in functionality. Monitoring services give businesses information about how well serverless operations are doing, enabling them to identify obstacles, maximize resource use and boost productivity all around. The need for monitoring services is increasing as companies work to create high-performing applications and ensure outstanding performance.

The growing consumer demand for Monitoring Services serverless computing helps to boost segment growth over the forecast period. For instance, on February 09, 2022, Software intelligence company Dynatrace announced that it has extended the Dynatrace platform's broad and deep observability and advanced AIOps capabilities to all major serverless architectures. It helps to increase monitoring services segment growth.

Geographical Penetration

North America is Dominating the Serverless Computing Market

North America accounted for the largest market share in the global serverless computing market due to the early adoption and innovation of new technologies that play an important role in the serverless computing ecosystem. Several leading cloud services providers, such as Amazon Web Services, Microsoft Azure and Google Cloud Platform are based in North America and help to boost market growth by offering services and solutions of serverless computing. The enterprises provide serverless computing services as components of their cloud solutions, adding to the overall market share of the region.

Some of the major key players in the region follow merger and acquisition strategies which help to boost regional market growth over the forecast period. For instance, on August 29, 2023, Google Cloud Next and NVIDIA announced the AI infrastructure and software for customers to build and deploy massive models for generative AI and speed data science workloads. Moreover, the firms disclosed Google's incorporation of serverless Spark with NVIDIA GPUs via Google's Dataproc service. The integration is designed to accelerate Apache Spark workloads, aiding data scientists in expediting the preparation of data for AI development.

Competitive Landscape

The major global players in the market include Google LLC, Alibaba Cloud, CA Technologies, Microsoft Corporation oracle Corporation, Dynatrace, Fiorano Software Inc., Joyent Inc., Modubiz Ltd. and NTT Data Corporation.

COVID-19 Impact Analysis

The COVID-19 epidemic helps to boost demand of the cloud computing, as enterprises seek adaptable and expandable solutions to facilitate their distant workforce. A cloud-based service called serverless computing probably saw an increase in demand during the epidemic. Numerous organizations hastened their digital transformation efforts to adjust to the changing circumstances. Serverless computing, recognized for its agility and scalability, might have been instrumental in these initiatives as businesses sought effective methods to deploy and oversee applications.

Businesses prioritized optimizing expenses due to the economic uncertainty brought up by the epidemic. With its pay-as-you-go pricing framework, serverless computing allowed businesses to modify resource scaling in response to demand, which may have resulted in cost savings over traditional infrastructure. Even though the demand for cloud services increased overall, several businesses had difficulties because they reduced IT spending, which hindered the adoption of serverless solutions. The industries include travel, hospitality and retail.

Russia-Ukraine War Impact Analysis

Geopolitical tensions between the countries lead to disruptions in the supply chain, affecting the production and availability of hardware components or cloud infrastructure. The impacts the deployment and operation of serverless computing services. Uncertainty created by geopolitical events leads to cautious spending by businesses. Organizations delay or reconsider their technology investments, including the adoption of serverless computing solutions.

Geopolitical tensions raise concerns about data privacy and security. Organizations reevaluate their choice of cloud service providers and serverless platforms to ensure the security and integrity of their data. The specific regions involved in geopolitical conflicts experience economic challenges, which could, in turn, affect the adoption of technology solutions, including serverless computing.

By Services

  • Monitoring Services
  • API Management Services
  • Integration Services
  • Security
  • Support and maintenance
  • Others

By Deployment

  • Private Cloud
  • Public Cloud

By Enterprise Size

  • Large Enterprises
  • Small and Medium Enterprises

By Application

  • Web and Mobile Applications
  • IoT (Internet of Things)

By End-User

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

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • On May 25, 2022, DigitalOcean, a US cloud infrastructure provider launched Nimbella-based serverless computing. DigitalOcean's Functions product streamlines the underlying infrastructure tasks, enabling developers to swiftly write and deploy code without the necessity of delving into Kubernetes and container intricacies.
  • On May 24, 2021, Imperva, Inc. launched a New Product to Secure Serverless Functions with Visibility into the Application Layer & Code-Level Vulnerabilities. Imperva Serverless Protection offers an additional layer of security for AWS Lambda environments.
  • On November 09, 2022, Alibaba Cloud introduced the ModelScope platform and new solutions to minimize the barrier to commercializing company innovation. At its premier conference, the largest cloud services provider globally also introduced a fresh series of serverless database solutions and bolstered its integrated platform for data analytics and cognitive computing. The enhancements aim to help clients achieve heightened business innovation through the utilization of cloud technologies.

Why Purchase the Report?

  • To visualize the global serverless computing market segmentation based on services, deployment, enterprise size, application, end-user and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of serverless computing market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The global serverless computing market report would provide approximately 78 tables, 77 figures and 226 Pages.

Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Services
  • 3.2. Snippet by Deployment
  • 3.3. Snippet by Enterprise Size
  • 3.4. Snippet by Application
  • 3.5. Snippet by End-User
  • 3.6. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Cost-Effective Scaling Capabilities of Global Serverless Computing
      • 4.1.1.2. Rapid Growth in the Cloud Computing
    • 4.1.2. Restraints
      • 4.1.2.1. Security Concerns about Serverless Computing
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis
  • 5.5. Russia-Ukraine War Impact Analysis
  • 5.6. DMI Opinion

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID
    • 6.1.2. Scenario During COVID
    • 6.1.3. Scenario Post COVID
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Services

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
    • 7.1.2. Market Attractiveness Index, By Services
  • 7.2. Monitoring Services*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. API Management Services
  • 7.4. Integration Services
  • 7.5. Security
  • 7.6. Support and Maintenance
  • 7.7. Others

8. By Deployment

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 8.1.2. Market Attractiveness Index, By Deployment
  • 8.2. Private Cloud*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Public Cloud

9. By Enterprise Size

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 9.1.2. Market Attractiveness Index, By Enterprise Size
  • 9.2. Large Enterprises*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Small and Medium Enterprises

10. By Application

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.1.2. Market Attractiveness Index, By Application
  • 10.2. Web and Mobile Applications*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. IoT (Internet of Things)

11. By End-User

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.1.2. Market Attractiveness Index, By End-User
  • 11.2. BFSI *
    • 11.2.1. Introduction
    • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3. IT and Telecom
  • 11.4. Retail
  • 11.5. Healthcare
  • 11.6. Manufacturing
  • 11.7. Media and Entertainment
  • 11.8. Others

12. By Region

  • 12.1. Introduction
    • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 12.1.2. Market Attractiveness Index, By Region
  • 12.2. North America
    • 12.2.1. Introduction
    • 12.2.2. Key Region-Specific Dynamics
    • 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
    • 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.2.8.1. U.S.
      • 12.2.8.2. Canada
      • 12.2.8.3. Mexico
  • 12.3. Europe
    • 12.3.1. Introduction
    • 12.3.2. Key Region-Specific Dynamics
    • 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
    • 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.3.8.1. Germany
      • 12.3.8.2. UK
      • 12.3.8.3. France
      • 12.3.8.4. Italy
      • 12.3.8.5. Spain
      • 12.3.8.6. Rest of Europe
  • 12.4. South America
    • 12.4.1. Introduction
    • 12.4.2. Key Region-Specific Dynamics
    • 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
    • 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.4.8.1. Brazil
      • 12.4.8.2. Argentina
      • 12.4.8.3. Rest of South America
  • 12.5. Asia-Pacific
    • 12.5.1. Introduction
    • 12.5.2. Key Region-Specific Dynamics
    • 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
    • 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.5.8.1. China
      • 12.5.8.2. India
      • 12.5.8.3. Japan
      • 12.5.8.4. Australia
      • 12.5.8.5. Rest of Asia-Pacific
  • 12.6. Middle East and Africa
    • 12.6.1. Introduction
    • 12.6.2. Key Region-Specific Dynamics
    • 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
    • 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Competitive Landscape

  • 13.1. Competitive Scenario
  • 13.2. Market Positioning/Share Analysis
  • 13.3. Mergers and Acquisitions Analysis

14. Company Profiles

  • 14.1. Google LLC*
    • 14.1.1. Company Overview
    • 14.1.2. Product Portfolio and Description
    • 14.1.3. Financial Overview
    • 14.1.4. Key Developments
  • 14.2. Alibaba Cloud
  • 14.3. CA Technologies
  • 14.4. Microsoft Corporation
  • 14.5. Oracle Corporation
  • 14.6. Dynatrace
  • 14.7. Fiorano Software Inc.
  • 14.8. Joyent Inc.
  • 14.9. Modubiz Ltd.
  • 14.10. NTT Data Corporation

LIST NOT EXHAUSTIVE

15. Appendix

  • 15.1. About Us and Services
  • 15.2. Contact Us