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クラウドコンピューティングの法人向け市場: SaaS、PaaS、IaaS 2014-2018年

Cloud Computing - Enterprise Markets

SaaS, PaaS & IaaS, 2014-2018

 

出版社 出版年月価格 ページ数
Juniper Research
ジュニパーリサーチ社
2014年5月お問い合わせください 94

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サマリー

この調査レポートは、世界の企業向けクラウドコンピューティング市場を調査し、2018年までの市場予測を提供しています。

主な掲載内容

  1. クラウドについて
  2. 法人向けクラウド市場
  3. 法人向けクラウド市場:市場予測
  4. ベンダ情報

Overview

  • Mobile & digital market consolidation
  • Cost, risk & process analyses
  • SaaS, PaaS, IaaS focus

This third edition of Juniper’s market-leading report on Enterprise Cloud Computing provides definitive insight into the enterprise cloud computing market, together with a comprehensive suite of 5 year calculated projections which assess the anticipated market opportunity to 2018. This edition includes an extensive analysis of the cloud computing landscape along with an in-depth focus on the strategies, drivers and constraints faced by the different stakeholders. The report’s associated IFxl (Interactive Forecast Excel) contains all regional and sector forecasts from this report, plus country level forecasts for the US, Canada, UK, Germany, Japan and South Korea.

What This Report Covers

Service Models & Deployments

This report explores the growing enterprise cloud computing market, investigating the primary service delivery models (SaaS, PaaS and IaaS) alongside common deployment models (public, private and hybrid clouds). Readers will find in-depth analysis of the drivers and challenges faced by cloud computing stakeholders, alongside strategic recommendations for service providers and customers alike in consideration of service offerings and moving workloads to the cloud.

15 Stakeholder Case Studies & 12 vendor profiles

Detailing the work of stakeholders across the enterprise cloud computing landscape, including:

• Standards’ and organisations’ work
• Service providers
• Vendors

These case studies are supplemented with exclusive interviews with key enablers (including Amdocs, AWS, McAfee/Intel Security, Rackspace and Splunk) offering insight into the enterprise cloud computing market.

New & Updated Forecast Suite

With 3 exclusive chapters of forecasts in the report, this updated study provides an extensive breakdown for the following data points:

• Enterprise Users with Access to Cloud Services (m)
• Software-as-a-Service: Users (m), Average Spend per User per Month ($) and Revenue ($m)
• Platform-as-a-Service: Users (m), Average Spend per User per Month ($) and Revenue ($m)
• Infrastructure-as-a-Service: Software-as-a-Service as a Proportion of Total Revenue (%) and Revenue ($m)

Enterprise Cloud Computing IFxl
Juniper Research’s highly granular IFxls enable clients to manipulate Juniper’s forecast data and charts to test their own assumptions, perform what-if analysis; and compare select markets side by side in customised charts and tables. IFxls greatly increase clients’ ability both to understand a particular market and to integrate their own views into the model.

This IFxl, with 22 Tables; 4 What-if-analyses; and over 2,100 data points, provides additional market data for the following countries: Canada, Germany, Japan, South Korea, UK and US.

Companies Referenced

Interviewed: Amazon, Amdocs, McAfee: a Part of Intel Security, Rackspace, Splunk.

Profiled: Amazon, Amdocs, AppFog, Ericsson, Google, Kinvey, McAfee: a Part of Intel Security, Microsoft, Rackspace, Splunk, VMWare, Xively.

Case Studied: Amazon, Cloud Security Alliance, Distributed Management Task Force, Engine Yard, Institute of Electrical and Electronics Engineers, Microsoft, Open Data Centre Alliance, Open Grid Forum, OpenStack Foundation, Oracle, Rap Genius, Salesforce.com, SAP Ariba, Verizon Terremark.

Mentioned: 3M, Accenture, Actix, Adobe, Advanced Systems Group, Air Quality Egg, Altavista, AMD, América Móvil, Appcelerator, Apple, AT&T, Azuki Systems, Best Buy, BlackBerry, Blippar, BMW, Box, BugSense, Canon, Canonical, Celcite, CenturyLink, Chunghwa, Cisco, Citrix, Cloudmeter, Comcast, Conceptwave, DeepMind Technologies, Dell, Deutsche Telekom, DISTANCE Consortium, Dominos, Dropbox, eBay, El Corte Inglés, Elektron, EMC, Eucalyptus Systems, European Union Agency for Network and Information Security, Facebook, Force.com, Fujisoft, GCHQ, GNL, Haven Power, Heroku, HP, HSBC, Huawei, IBM, Intel, International Electrotechnical Commission, International Telecommunication Union, IronMQ, Juniper Networks, Khan Academy, KiSSFLOW, Konica Minolta, LogMeIn, Lycos, MapR, Mazda, Mobilink, MongoDB, MongoLab, Mozilla, NASA, National Institute of Standards and Technology, NEC, Nest Labs, Netflix, Netsuite, News International, Nodester, NSA, NTT Europe, NVIDIA, O2, Open Cloud Computing Interface, Ponemon Institute, RedHat, Redis, Renault, Rogers, Rovio, SageCRM, Samsung, SanDisk, SAP, Savvis, Searchify, Security, Trust & Assurance Registry, Shell, Sightly, Skype, Sprint, Survey Monkey, Swisscom, Symantec, Tableau, Tata Communications, Telefonica, Telstra, Telus, Terremark, Tesco, Thales e-Security, Tier 3, T-Mobile, Toyota, Tresys, Ubisoft, VeriSign, Verizon, Videocent, Virgin Media, Visualight, Vodafone, WhatsApp, Wipro, Xbox, Xerox, Yahoo, YouTube.

Extra Info

◊8 Key Regions include: North America; Latin America; Western Europe; Central & Eastern Europe; Far East & China; Indian Subcontinent; Rest of Asia Pacific and Africa & Middle East.

Key Questions

  • What is cloud computing, and how is it a disruptive phenomenon?
  • What are the use cases for cloud computing, and how are enterprise markets addressing this?
  • What are the key drivers and hurdles that the market is facing?
  • What strategies should service providers take to maximise revenues?
  • What steps should enterprise customers take when considering moving services to the cloud?
  • What key trends are shaping the cloud computing market today?
  • What is the scale of the revenue opportunity in the enterprise public cloud computing market?
  • Which segment will generate the most revenue in the enterprise public cloud markets?

 



目次

Table of Contents

Executive Summary

1. The Case for Cloud

1.1 Introduction
Figure 1.1: Virtualisation of Servers
1.1.1 Definition
1.2 Delivery Models
Figure 1.2: Cloud Computing Service Delivery Architecture
1.2.1 Software as a Service
1.2.2 Platform as a Service
1.2.3 Infrastructure as a Service
1.3 Deployment Models
1.3.1 The Public Cloud
Figure 1.3: Access to the Public Cloud
i. Security
ii. Cost
1.3.2 The Private Cloud
Figure 1.4: Private Cloud Access
i. Security
ii. Cost
1.3.3 The Hybrid Cloud
Figure 1.5: Hybrid Cloud Access
i. Moving away from the traditional use case
ii. Conclusion
1.4 Standards
Table 1.1: Benefit of Standards for Service Models
1.4.1 Case Study: Open Grid Forum
i. Background
ii. Strategic Assessment
1.4.2 Case Study: Open Data Alliance
i. Background
ii. Strategic Assessment
1.4.3 Case Study: IEEE-SA
i. Background
ii. Strategic Assessment
1.4.4 Case Study: Distributed Management Task Force
i. Background
ii. Strategic Assessment
1.4.5 Case Study: Cloud Security Alliance
i. Background
ii. Strategic Assessment
Figure 1.6: CSA STAR Certification Programme
1.4.6 Case Study: OpenStack
i. Background
ii. Strategic Assessment
Figure 1.7: OpenStack Cloud Operating System
1.5 Market Drivers
1.6 Market Hurdles

2. The Enterprise Cloud Space

2.1 Introduction
2.2 The Internet of Things
2.3 Cognitive Applications
Figure 2.1 IBM Watson DeepQA Architecture
2.4 Software as a Service
2.4.1 Case Study: Salesforce.com
i. Background
ii. Solution
Figure 2.2: Salesforce.com Sales Cloud Dashboard
iii. Business Model
2.4.2 Case Study: SAP Ariba
i. Background
ii. Solution
Figure 2.3: Ariba Procurement Solution
iii. Business Model
2.4.3 Case Study: Oracle revamps multi-tenancy
i. Background
ii. Strategic Assessment
Figure 2.3: Oracle 12c Multi-tenant architecture
2.5 Platform as a Service
2.5.1 Case Study: Engine Yard
i. Background
ii. Solution
Figure 2.4: Engine Yard Modular Architecture
iii. Business Model
2.5.2 Case Study: Microsoft Azure
i. Background
ii. Solution
Figure 2.5: Microsoft Azure Roles
iii. Business Model
Table 3.1: Microsoft Azure Standard Instance Pricing Comparison
2.5.3 Case Study: Trouble in PaaS: Rap Genius
i. Background
ii. Strategic Assessment
2.6 Infrastructure as a Service
2.6.1 Case Study: Amazon Web Services
i. Background
ii. Solution
Figure 2.6: AWS Service Proposition
iii. Business Model
2.6.2 Case Study: Verizon Terremark
i. Background
ii. Solution
ii. Strategic Assessment
2.7 Recommendations

3. The Enterprise Cloud Space: Market Forecasts

3.1 Introduction
3.2 The Enterprise Cloud Summary
Figure 3.1 & Table 3.1: Total Enterprise Cloud Computing Revenue ($m), Split by Segment
Figure 3.2 & Table 3.2: Enterprise Cloud Computing Spend as % of Total Spend Split by Segment
3.2 Sizing the Market: Methodology & Assumptions
Figure 3.3: Enterprise Cloud Computing Addressable Market Methodology
Figure 3.4 & Table 3.3: Enterprise Cloud Services Addressable Market (m) Split by 8 Key Regions 2013-2018
3.3 The Enterprise SaaS Market
3.3.1 Methodology & Assumptions
Figure 3.5: Enterprise SaaS Market Methodology
3.3.2 Enterprise SaaS Forecast
Table 3.4: Enterprise SaaS Use Take-Up (% Addressable Market) Split by 8 Key Regions, 2013-2018
Figure 3.6 & Table 3.5: Total Enterprise Users Accessing SaaS Applications (m) Split by 8 Key Regions, 2013-2018
Table 3.6: Average Spend per Enterprise SaaS User per Month ($), Split by 8 Key Regions 2013?2018
Figure 3.7 & Table 3.7: Total Enterprise SaaS Revenue ($m) Split by 8 Key Regions 2013-2018
3.4 The Enterprise PaaS Market
3.4.1 Methodology & Assumptions
Figure 3.8: Enterprise PaaS Methodology
3.4.2 Enterprise PaaS Forecast
Figure 3.9 & Table 3.8: Enterprise Users Developing over PaaS (m) Split by 8 Key Regions 2013-2018
Table 3.9: Enterprise PaaS Average Spend per User per Month ($m) Split by 8 Key Regions 2013-2018
Figure 3.10 & Table 3.10: Total Enterprise PaaS Revenue ($m) Split by 8 Key Regions 2013-2018
3.5 The Enterprise IaaS Market
3.5.1 Methodology & Assumptions
Figure 3.11: Enterprise IaaS Methodolody
3.5.2 Enterprise IaaS Forecast
Table 3.11: Enterprise SaaS Revenue as a Proportion of Total Enterprise Cloud Computing Revenue (%) Split by 8 Key Regions
Figure 3.12 & Table 3.12: Total Enterprise IaaS Revenue ($m) Split by 8 Key Regions 2013-2018

4. Vendor Profiles

4.1 Introduction
4.2 Vendor Matrix
Table 4.1: Vendor Capability Assessment Criteria
4.2.1 Limitations and Interpretation
4.2.2 Positioning Matrix Results
Table 4.2: Vendor Positioning Matrix
4.2.3 Stakeholder Groupings
i. Summary
ii. On Track Vendors
iii. Vendors Exceeding Expectations
iv. Vendors with Further Potential
4.2.4 Conclusion
4.3 Vendor Profiles
4.3.1 Amazon Web Services
Figure 4.1: Amazon Net Sales ($m) 2011-2013 – Other (AWS Inclusive)
4.3.2 Amdocs
Figure 4.2: Amdocs Revenue ($m) 2011-2013
4.3.3 AppFog
4.3.4 Ericsson
Figure 4.3: Ericsson Virtualised Network Services
4.3.5 Google Inc
4.3.6 Kinvey
Figure 4.4: Kinvey-Google Partnership
4.3.7 McAfee, a Part of Intel Security
Figure 4.5: Intel TXT Attestation
4.3.8 Microsoft Corp
Figure 4.6: Microsoft Revenue ($m) 2011-2013
4.3.9 Rackspace
Figure 4.7: Rackspace Revenue ($m) 2011-2013
Figure 4.8: Rackspace RackConnect
4.3.10 Splunk
Figure 4.9: Splunk Cloud
4.3.11 VMWare
Figure 4.10: VMWare Solution
4.3.12 Xively
Figure 4.11: Xively Processing Flow

 

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プレスリリース

[日本語訳]

企業向けSaaS(Software-as-a-Service)の市場収益が2018年までに530億ドルを超過

サービスプロバイダの成功を握るカギ

英国ハンプシャー、2014年4月29日

英国調査会社ジュニパーリサーチ社は、法人向けSaaS(Software-as-a-Service)の市場収益が2013年の232億ドルから2018年には535億ドルへ到達し、法人向けパブリッククラウドコンピューティング市場の59%を占める成長をみせるであろうと伝えている。

払拭できないセキュリティおよびコンプライアンスに関する懸念事項

ジュニパーリサーチ社の調査レポート「クラウドコンピューティングの法人向け市場‐Cloud Computing - Enterprise Markets  SaaS, PaaS & IaaS, 2014-2018」は、SaaS (Software-as-a-Service) はクラウドモデルとして引き続き優勢的な存在を示していくであろうと伝えているが、これはこの事業が比較的成熟し、幅広く普及の進んだモデルであり、クラウドベースのソフトウェアとしての利点やリスクが試された結果についての相当な認知があることによる結果であろう。しかしながら、PaaS (プラットフォーム) やIaaS (インフラストラクチャ)といったソリューションへの着手によってデータの安全性、コンプライアンス、ポータビリティに対する懸念事項による影響が及んでいるという意見もある。

成長が見込まれるPaaS およびIaaS

それでもなお、PaaS およびIaaSは予測期間において共に著しく成長し、ビッグデータ解析のようなクラウドとハーネス間の作業負荷に対する開発、PaaSの‘ファストトラック ’のような利点をみせるモデル展開のような新たなアプリケーションとしての発展を見せていくであろうとレポートは伝える。他のクラウドサービスの拡張機能としてPaaSの強化が増加傾向を見せる一方で、サービス提供会社は多言語サポートの提供やCloud Foundryのような構想を通じたポータビリティの強化を進めている

一方、IaaSは、適切なリスク評価に対する必要性への理解の高まりにともない、ソフトウェアスタックおよびセキュリティ面への実装に対して高レベルな制御を行っていくために中小企業(SMB)と大企業にとってますます魅力的なものとなってきている。

その他の主要事項:

  • パブリッククラウドにおける信頼性がエドワードスノーデン氏によるNSA(国家安全保障局)に対する告発以降、ゆるがされてきた;サービスプロバイダへ信頼性の再構築の要請。
  • ポテンシャルを持つ顧客に対し、どのようなクラウドサービスを展開するか、しないかの適正評価が非常に重要となる。

[プレスリリース原文]

Press Release: Software-as-a-Service Enterprise Revenues to exceed $53 billion by 2018, Juniper Research Finds

Trust key to service providers’ success

Hampshire, UK: 29th April 2014: A new report from Juniper Research forecasts that revenues generated from enterprise Software-as-a-Service will reach $53.5 billion in 2018, representing 59% of the enterprise public cloud computing market, rising from $23.2 billion in 2013.

Security & compliance concerns linger

According to the report, Cloud Computing - Enterprise Markets: SaaS, PaaS & IaaS, 2014-2018 – SaaS (Software-as-a-Service) will remain the dominant cloud model. This is due in part to the relative maturity and widespread acceptance of the model, as well as recognition of the comparative benefits and risks of commissioning cloud-based software. However, it argued that enterprise take-up of PaaS (Platform) and IaaS (Infrastructure) solutions has been adversely impacted by concerns over data security, compliance and portability.

PaaS and IaaS set to grow

Nevertheless, the report found, both PaaS and IaaS will experience significant growth over the forecast period as new applications, developed specifically for the cloud to harness workloads such as big data analysis, benefit from the PaaS ‘fast-track’ model. Service providers are increasingly providing multi-lingual support, and improving portability through initiatives such as Cloud Foundry, while consolidation of PaaS as an extension of other cloud services is showing a rising trend.

Meanwhile, IaaS is becoming increasingly attractive to SMBs (small-to-medium-sized businesses) and enterprises alike owing to a high level of control over the software stack and security implementation, alongside a growing understanding of the need for proper risk assessment.

Other key findings include:

•    Confidence in the public cloud has suffered following Edward Snowden’s NSA (National Security Agency) revelations; obliging service providers to (re)build trust.
•    Due diligence is essential for potential customers to establish if, and what services can be deployed in the cloud.

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