Product Code: 5322
The global hyperscale edge computing market size is projected to expand considerably through 2030, due to the need for upscaling IT architectures to manage huge volumes of data. Hyperscale edge computing networks are being extensively deployed in healthcare, mining, and other industrial sectors where IoT technology is gaining momentum.
As per the Asia Cloud Computing Association Report, over 77% of organizations experienced a business surge after expanding their IT infrastructure in 2020. The growing number of IoT devices and sensors generating large data, and the adoption of IT infrastructure to manage and provide unparalleled connectivity, are likely to fuel hyperscale edge computing industry growth.
The hyperscale edge computing industry is categorized in terms of component, application, enterprise size, end-user, and region.
In terms of the component, the market is segmented into software, service, and hardware. The service segment is further sub-categorized into professional services and managed services. Of these, the professional services segment held over 35% of the industry share in 2021, owing to the strong demand for the effective implementation of edge computing solutions.
This type of service also can help companies formulate edge strategies to efficiently manage hyperscale edge infrastructure and safeguard the entire system from cyber threats.
Based on enterprise size, the hyperscale edge computing market is bifurcated into large enterprises and SMEs. The large enterprises segment is set to account for more than 76% of the industry share by 2030.
In wake of the COVID-19 pandemic, enterprises worldwide have been looking for ways to optimize their agility, storage, and network. As a result, they have rapidly shifted their crucial workload to the cloud to maintain business functioning. Since the cloud is gaining momentum, edge computing has emerged as an ideal solution, which may propel segmental growth.
With respect to application, Industrial IoT registered a market share of 33.85% in 2021. Increasing deployment of emerging technologies, such as AI and IoT, and the strong focus on manufacturing automation are some of the key factors fueling segmental expansion.
As per data from the Digital Economy, in 2021, 76% of manufacturers planned to adopt the IIoT and 5G tech to reduce processing and labor costs, further strengthening the hyperscale edge computing industry outlook.
In terms of end-use, the government segment is poised to exhibit a CAGR of nearly 35% through 2030. The use of hyperscale edge computing solutions among government organizations is increasing since they can help them centralize and consolidate IT resources to allow users to access systems from anywhere at any time. With the rising penetration of IoT devices and the introduction of 5G networks, edge computing has become a viable solution for various use cases in government agencies.
From a regional frame of reference, the Europe hyperscale edge computing market accounted for 21.75% of the market share in 2021, owing to the demand for low-latency processing. Likewise, the rising deployment of IoT-related services, automation of decision-making solutions, and the growing load on cloud infrastructure may stimulate regional industry demand over the forecast period.
Table of Contents
Chapter 1 Methodology & Scope
- 1.1 Scope & definition
- 1.2 Methodology & forecast parameters
- 1.3 COVID-19 impact parameters
- 1.3.1 North America
- 1.3.2 Europe
- 1.3.3 Asia Pacific
- 1.3.4 Latin America
- 1.3.5 MEA
- 1.4 Regional trends
- 1.5 Russia Ukraine war impact paramaters
- 1.6 Data Sources
- 1.6.1 Secondary
- 1.6.2 Primary
- 1.6.2.1 Primary interview questions
- 1.6.2.2 Profile break-up of primary respondents
- 1.7 Industry glossary
Chapter 2 Executive Summary
- 2.1 Hyperscale edge computing industry 360 degree synopsis, 2018-2030
- 2.2 Business trends
- 2.2.1 Total addressable market (TAM) trends, 2022 - 2030
- 2.3 Regional trends
- 2.4 Component trends
- 2.5 Application trends
- 2.6 Enterprise size trends
- 2.7 End-user trends
Chapter 3 Hyperscale Edge Computing Industry Insights
- 3.1 Introduction
- 3.2 Impact of COVID-19 outbreak
- 3.2.1 Global outlook
- 3.2.2 Strategies to regain pre-COVID growth
- 3.2.2.1 AWS
- 3.2.2.2 Cisco Systems, Inc.
- 3.2.2.3 Microsoft Corporation
- 3.2.2.4 IBM Corporation
- 3.2.2.5 SAP SE
- 3.3 Impact of Russia-Ukraine war
- 3.4 Hyperscale edge computing architecture
- 3.5 Hyperscale edge computing ecosystem analysis
- 3.5.1 Hyperscale edge computing hardware providers
- 3.5.2 Hyperscale edge computing platform providers
- 3.5.3 Hyperscale edge computing service providers
- 3.5.4 Distribution and marketing channels
- 3.5.5 End users
- 3.5.6 Stakeholder profit margin analysis
- 3.5.7 Vendor matrix
- 3.6 Technology & innovation landscape
- 3.6.1 Internet of Things (IoT)
- 3.6.2 AI & ML
- 3.6.3 Bring Your Own Device (BYOD)
- 3.6.4 Cloud computing
- 3.7 Patent analysis
- 3.8 Investment portfolio
- 3.9 Regulatory landscape
- 3.9.1 North America
- 3.9.1.1 NIST Special Publication 800-144 - Guidelines on Security and Privacy in Public Cloud Computing (U.S.)
- 3.9.1.2 Health Insurance Portability and Accountability Act (HIPAA) of 1996 (U.S.)
- 3.9.1.3 Personal Information Protection and Electronic Documents Act [(PIPEDA) Canada]
- 3.9.2 Europe
- 3.9.2.1 General Data Protection Regulation (EU)
- 3.9.2.2 German Privacy Act (Bundesdatenschutzgesetz- BDSG)
- 3.9.3 Asia Pacific
- 3.9.3.1 Information Security Technology- Personal Information Security Specification GB/T 35273-2017 (China)
- 3.9.3.2 Secure India National Digital Communications Policy 2018 - Draft (India)
- 3.9.4 Latin America
- 3.9.4.1 National Directorate of Personal Data Protection (Argentina)
- 3.9.4.2 The Brazilian General Data Protection Law (LGPD)
- 3.9.5 MEA
- 3.9.5.1 Law No 13 of 2016 on protecting personal data (Qatar)
- 3.9.5.2 Federal Law No. 2 of 2019 on the use of ICT in Healthcare (UAE)
- 3.10 Industry impact forces
- 3.10.1 Growth drivers
- 3.10.1.1 Increasing number of edge data centers
- 3.10.1.2 Rising demand for hyperscale cloud computing from SMEs
- 3.10.1.3 Growing popularity of hyperscale edge technologies for video streaming
- 3.10.1.4 Upsurge in adoption of High-Performance Computing (HPC)
- 3.10.1.5 Spike in the need for upscaling IT architectures due to voluminous data growth
- 3.10.2 Industry Pitfalls and Challenges
- 3.10.2.1 Increased CAPEX owing to advanced cabling requirement
- 3.10.2.2 Complex networking requirements to address better machine-server connectivity
- 3.11 Growth potential analysis
- 3.12 Porter's Analysis
- 3.12.1 Bargaining power of supplier
- 3.12.2 Bargaining power of buyer
- 3.12.3 Threat of new entrants
- 3.12.4 Threat of substitutes
- 3.12.5 Competitive rivalry
- 3.13 PESTEL analysis
- 3.13.1 Political
- 3.13.2 Economical
- 3.13.3 Social
- 3.13.4 Technological
- 3.13.5 Legal
- 3.13.6 Environmental
Chapter 4 Competitive Landscape, 2021
- 4.1 Introduction
- 4.2 Company market share, 2021
- 4.3 Competitive analysis of key market players, 2021
- 4.3.1 Chart key
- 4.3.2 Amazon Web Services, Inc. (Amazon.com)
- 4.3.3 Dell Technologies Inc.
- 4.3.4 Google, LLC
- 4.3.5 Hewlett Packard Enterprise Company (HPE)
- 4.3.6 IBM Corporation
- 4.3.7 Microsoft Corporation
- 4.4 Competitive analysis of innovative vendors, 2021
- 4.4.1 Cisco Systems, Inc.
- 4.4.2 Equinix, Inc.
- 4.4.3 Huawei Technologies Co., Ltd.
- 4.4.4 Intel Corporation
- 4.4.5 Oracle Corporation
- 4.5 Vendor adoption matrix
- 4.6 Strategic outlook matrix
Chapter 5 Hyperscale Edge Computing Market, By Component
- 5.1 Key trends, by component
- 5.2 Hardware
- 5.2.1 Market, 2018-2030
- 5.2.2 Nodes
- 5.2.2.1 Market, 2018-2030
- 5.2.3 Sensors
- 5.2.3.1 Market, 2018-2030
- 5.2.4 Others
- 5.2.4.1 Market, 2018-2030
- 5.3 Software
- 5.4 Service
- 5.4.1 Market, 2018-2030
- 5.4.2 Professional service
- 5.4.2.1 Market, 2018-2030
- 5.4.3 Managed service
- 5.4.3.1 Market, 2018-2030
Chapter 6 Hyperscale Edge Computing Market, By Enterprise Size
- 6.1 Key trends, by enterprise size
- 6.2 Large enterprises
- 6.3 SMEs
Chapter 7 Hyperscale Edge Computing Market, By Application
- 7.1 Key trends, by application
- 7.2 Industrial IoT
- 7.3 Remote monitoring
- 7.4 Content delivery
- 7.5 AR/VR
- 7.6 Others
Chapter 8 Hyperscale edge computing Market, By End-user
- 8.1 Key trends, by end-user
- 8.2 IT & telecom
- 8.3 BFSI
- 8.4 Government
- 8.5 Healthcare
- 8.6 Retail
- 8.7 Manufacturing
- 8.8 Utility
- 8.9 Others
Chapter 9 Hyperscale edge computing Market, By Region
- 9.1 Key trends, by region
- 9.2 North America
- 9.2.1 Market, 2018-2030
- 9.2.2 Market estimates & forecast, by component, 2018-2030
- 9.2.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.2.2.2 Market estimates & forecast, by service, 2018-2030
- 9.2.3 Market estimates & forecast, by application, 2018-2030
- 9.2.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.2.5 Market estimates & forecast, by end-user, 2018-2030
- 9.2.6 U.S.
- 9.2.6.1 Market, 2018-2030
- 9.2.6.2 Market estimates & forecast, by component, 2018-2030
- 9.2.6.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.2.6.2.2 Market estimates & forecast, by service, 2018-2030
- 9.2.6.3 Market estimates & forecast, by application, 2018-2030
- 9.2.6.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.2.6.5 Market estimates & forecast, by end-user, 2018-2030
- 9.2.7 Canada
- 9.2.7.1 Market, 2018-2030
- 9.2.7.2 Market estimates & forecast, by component, 2018-2030
- 9.2.7.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.2.7.2.2 Market estimates & forecast, by service, 2018-2030
- 9.2.7.3 Market estimates & forecast, by application, 2018-2030
- 9.2.7.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.2.7.5 Market estimates & forecast, by end-user, 2018-2030
- 9.3 Europe
- 9.3.1 Market, 2018-2030
- 9.3.2 Market estimates & forecast, by component, 2018-2030
- 9.3.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.3.2.2 Market estimates & forecast, by service, 2018-2030
- 9.3.3 Market estimates & forecast, by application, 2018-2030
- 9.3.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.3.5 Market estimates & forecast, by end-user, 2018-2030
- 9.3.6 UK
- 9.3.6.1 Market, 2018-2030
- 9.3.6.2 Market estimates & forecast, by component, 2018-2030
- 9.3.6.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.3.6.2.2 Market estimates & forecast, by service, 2018-2030
- 9.3.6.3 Market estimates & forecast, by application, 2018-2030
- 9.3.6.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.3.6.5 Market estimates & forecast, by end-user, 2018-2030
- 9.3.7 Germany
- 9.3.7.1 Market, 2018-2030
- 9.3.7.2 Market estimates & forecast, by component, 2018-2030
- 9.3.7.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.3.7.2.2 Market estimates & forecast, by service, 2018-2030
- 9.3.7.3 Market estimates & forecast, by application, 2018-2030
- 9.3.7.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.3.7.5 Market estimates & forecast, by end-user, 2018-2030
- 9.3.8 France
- 9.3.8.1 Market, 2018-2030
- 9.3.8.2 Market estimates & forecast, by component, 2018-2030
- 9.3.8.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.3.8.2.2 Market estimates & forecast, by service, 2018-2030
- 9.3.8.3 Market estimates & forecast, by application, 2018-2030
- 9.3.8.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.3.8.5 Market estimates & forecast, by end-user, 2018-2030
- 9.3.9 Italy
- 9.3.9.1 Market, 2018-2030
- 9.3.9.2 Market estimates & forecast, by component, 2018-2030
- 9.3.9.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.3.9.2.2 Market estimates & forecast, by service, 2018-2030
- 9.3.9.3 Market estimates & forecast, by application, 2018-2030
- 9.3.9.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.3.9.5 Market estimates & forecast, by end-user, 2018-2030
- 9.3.10 Spain
- 9.3.10.1 Market, 2018-2030
- 9.3.10.2 Market estimates & forecast, by component, 2018-2030
- 9.3.10.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.3.10.2.2 Market estimates & forecast, by service, 2018-2030
- 9.3.10.3 Market estimates & forecast, by application, 2018-2030
- 9.3.10.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.3.10.5 Market estimates & forecast, by end-user, 2018-2030
- 9.3.11 Netherlands
- 9.3.11.1 Market, 2018-2030
- 9.3.11.2 Market estimates & forecast, by component, 2018-2030
- 9.3.11.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.3.11.2.2 Market estimates & forecast, by service, 2018-2030
- 9.3.11.3 Market estimates & forecast, by application, 2018-2030
- 9.3.11.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.3.11.5 Market estimates & forecast, by end-user, 2018-2030
- 9.4 Asia Pacific
- 9.4.1 Market, 2018-2030
- 9.4.2 Market estimates & forecast, by component, 2018-2030
- 9.4.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.4.2.2 Market estimates & forecast, by service, 2018-2030
- 9.4.3 Market estimates & forecast, by application, 2018-2030
- 9.4.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.4.5 Market estimates & forecast, by end-user, 2018-2030
- 9.4.6 China
- 9.4.6.1 Market, 2018-2030
- 9.4.6.2 Market estimates & forecast, by component, 2018-2030
- 9.4.6.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.4.6.2.2 Market estimates & forecast, by service, 2018-2030
- 9.4.6.3 Market estimates & forecast, by application, 2018-2030
- 9.4.6.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.4.6.5 Market estimates & forecast, by end-user, 2018-2030
- 9.4.7 Japan
- 9.4.7.1 Market, 2018-2030
- 9.4.7.2 Market estimates & forecast, by component, 2018-2030
- 9.4.7.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.4.7.2.2 Market estimates & forecast, by service, 2018-2030
- 9.4.7.3 Market estimates & forecast, by application, 2018-2030
- 9.4.7.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.4.7.5 Market estimates & forecast, by end-user, 2018-2030
- 9.4.8 India
- 9.4.8.1 Market, 2018-2030
- 9.4.8.2 Market estimates & forecast, by component, 2018-2030
- 9.4.8.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.4.8.2.2 Market estimates & forecast, by service, 2018-2030
- 9.4.8.3 Market estimates & forecast, by application, 2018-2030
- 9.4.8.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.4.8.5 Market estimates & forecast, by end-user, 2018-2030
- 9.4.9 Australia & New Zealand
- 9.4.9.1 Market, 2018-2030
- 9.4.9.2 Market estimates & forecast, by component, 2018-2030
- 9.4.9.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.4.9.2.2 Market estimates & forecast, by service, 2018-2030
- 9.4.9.3 Market estimates & forecast, by application, 2018-2030
- 9.4.9.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.4.9.5 Market estimates & forecast, by end-user, 2018-2030
- 9.4.10 South Korea
- 9.4.10.1 Market, 2018-2030
- 9.4.10.2 Market estimates & forecast, by component, 2018-2030
- 9.4.10.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.4.10.2.2 Market estimates & forecast, by service, 2018-2030
- 9.4.10.3 Market estimates & forecast, by application, 2018-2030
- 9.4.10.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.4.10.5 Market estimates & forecast, by end-user, 2018-2030
- 9.5 Latin America
- 9.5.1 Market, 2018-2030
- 9.5.2 Market estimates & forecast, by component, 2018-2030
- 9.5.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.5.2.2 Market estimates & forecast, by service, 2018-2030
- 9.5.3 Market estimates & forecast, by application, 2018-2030
- 9.5.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.5.5 Market estimates & forecast, by end-user, 2018-2030
- 9.5.6 Brazil
- 9.5.6.1 Market, 2018-2030
- 9.5.6.2 Market estimates & forecast, by component, 2018-2030
- 9.5.6.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.5.6.2.2 Market estimates & forecast, by service, 2018-2030
- 9.5.6.3 Market estimates & forecast, by application, 2018-2030
- 9.5.6.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.5.6.5 Market estimates & forecast, by end-user, 2018-2030
- 9.5.7 Mexico
- 9.5.7.1 Market, 2018-2030
- 9.5.7.2 Market estimates & forecast, by component, 2018-2030
- 9.5.7.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.5.7.2.2 Market estimates & forecast, by service, 2018-2030
- 9.5.7.3 Market estimates & forecast, by application, 2018-2030
- 9.5.7.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.5.7.5 Market estimates & forecast, by end-user, 2018-2030
- 9.5.8 Argentina
- 9.5.8.1 Market, 2018-2030
- 9.5.8.2 Market estimates & forecast, by component, 2018-2030
- 9.5.8.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.5.8.2.2 Market estimates & forecast, by service, 2018-2030
- 9.5.8.3 Market estimates & forecast, by application, 2018-2030
- 9.5.8.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.5.8.5 Market estimates & forecast, by end-user, 2018-2030
- 9.6 MEA
- 9.6.1 Market, 2018-2030
- 9.6.2 Market estimates & forecast, by component, 2018-2030
- 9.6.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.6.2.2 Market estimates & forecast, by service, 2018-2030
- 9.6.3 Market estimates & forecast, by application, 2018-2030
- 9.6.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.6.5 Market estimates & forecast, by end-user, 2018-2030
- 9.6.6 Saudi Arabia
- 9.6.6.1 Market, 2018-2030
- 9.6.6.2 Market estimates & forecast, by component, 2018-2030
- 9.6.6.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.6.6.2.2 Market estimates & forecast, by service, 2018-2030
- 9.6.6.3 Market estimates & forecast, by application, 2018-2030
- 9.6.6.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.6.6.5 Market estimates & forecast, by end-user, 2018-2030
- 9.6.7 South Africa
- 9.6.7.1 Market, 2018-2030
- 9.6.7.2 Market estimates & forecast, by component, 2018-2030
- 9.6.7.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.6.7.2.2 Market estimates & forecast, by service, 2018-2030
- 9.6.7.3 Market estimates & forecast, by application, 2018-2030
- 9.6.7.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.6.7.5 Market estimates & forecast, by end-user, 2018-2030
- 9.6.8 UAE
- 9.6.8.1 Market, 2018-2030
- 9.6.8.2 Market estimates & forecast, by component, 2018-2030
- 9.6.8.2.1 Market estimates & forecast, by hardware, 2018-2030
- 9.6.8.2.2 Market estimates & forecast, by service, 2018-2030
- 9.6.8.3 Market estimates & forecast, by application, 2018-2030
- 9.6.8.4 Market estimates & forecast, by enterprise size, 2018-2030
- 9.6.8.5 Market estimates & forecast, by end-user, 2018-2030
Chapter 10 Company Profiles
- 10.1 ADLINK Technologies, Inc.
- 10.1.1 Business Overview
- 10.1.2 Financial Data
- 10.1.3 Product Landscape
- 10.1.4 Go-to-market Strategy
- 10.1.5 SWOT Analysis
- 10.2 Amazon Web Services, Inc. (Amazon.com, Inc.)
- 10.2.1 Business Overview
- 10.2.2 Financial Data
- 10.2.3 Product Landscape
- 10.2.4 Go-to-market Strategy
- 10.2.5 SWOT Analysis
- 10.3 Cisco Systems, Inc.
- 10.3.1 Business Overview
- 10.3.2 Financial Data
- 10.3.3 Product Landscape
- 10.3.4 Go-to-market Strategy
- 10.3.5 SWOT Analysis
- 10.4 ClearBlade, Inc.
- 10.4.1 Business Overview
- 10.4.2 Financial Data
- 10.4.3 Product Landscape
- 10.4.4 Go-to-market Strategy
- 10.4.5 SWOT Analysis
- 10.5 Dell Technologies, Inc.
- 10.5.1 Business Overview
- 10.5.2 Financial Data
- 10.5.3 Product Landscape
- 10.5.4 Go-to-market Strategy
- 10.5.5 SWOT Analysis
- 10.6 EdgeConneX, Inc.
- 10.6.1 Business Overview
- 10.6.2 Financial Data
- 10.6.3 Product Landscape
- 10.6.4 Go-to-market Strategy
- 10.6.5 SWOT Analysis
- 10.7 Equinix, Inc.
- 10.7.1 Business Overview
- 10.7.2 Financial Data
- 10.7.3 Product Landscape
- 10.7.4 Go-to-market Strategy
- 10.7.5 SWOT Analysis
- 10.8 Google, LLC
- 10.8.1 Business Overview
- 10.8.2 Financial Data
- 10.8.3 Product Landscape
- 10.8.4 Go-to-market Strategy
- 10.8.5 SWOT Analysis
- 10.9 Hitachi Vantara Corporation (Hitachi, Ltd)
- 10.9.1 Business Overview
- 10.9.2 Financial Data
- 10.9.3 Product Landscape
- 10.9.4 Go-to-market Strategy
- 10.9.5 SWOT Analysis
- 10.10 Hewlett Packard Enterprise Company
- 10.10.1 Business Overview
- 10.10.2 Financial Data
- 10.10.3 Product Landscape
- 10.10.4 Go-to-market Strategy
- 10.10.5 SWOT Analysis
- 10.11 Huawei Technologies Co., Ltd.
- 10.11.1 Business Overview
- 10.11.2 Financial Data
- 10.11.3 Product Landscape
- 10.11.4 Go-to-market Strategy
- 10.11.5 SWOT Analysis
- 10.12 IBM Corporation
- 10.12.1 Business Overview
- 10.12.2 Financial Data
- 10.12.3 Product Landscape
- 10.12.4 Go-to-market Strategy
- 10.12.5 SWOT Analysis
- 10.13 Intel Corporation
- 10.13.1 Business Overview
- 10.13.2 Financial Data
- 10.13.3 Product Landscape
- 10.13.4 Go-to-market Strategy
- 10.13.5 SWOT Analysis
- 10.14 Microsoft Corporation
- 10.14.1 Business Overview
- 10.14.2 Financial Data
- 10.14.3 Product Landscape
- 10.14.4 Go-to-market Strategy
- 10.14.5 SWOT Analysis
- 10.15 Mutable, Inc.
- 10.15.1 Business Overview
- 10.15.2 Financial Data
- 10.15.3 Product Landscape
- 10.15.4 Go-to-market Strategy
- 10.15.5 SWOT Analysis
- 10.16 Oracle Corporation
- 10.16.1 Business Overview
- 10.16.2 Financial Data
- 10.16.3 Product Landscape
- 10.16.4 Go-to-market Strategy
- 10.16.5 SWOT Analysis
- 10.17 SAP SE
- 10.17.1 Business Overview
- 10.17.2 Financial Data
- 10.17.3 Product Landscape
- 10.17.4 Go-to-market Strategy
- 10.17.5 SWOT Analysis
- 10.18 Vapor IO
- 10.18.1 Business Overview
- 10.18.2 Financial Data
- 10.18.3 Product Landscape
- 10.18.4 Go-to-market Strategy
- 10.18.5 SWOT Analysis