
Region:North America
Author(s):Paribhasha Tiwari
Product Code:KROD3375
November 2024
96

By Deployment Model: The North America Cloud Computing market is segmented by deployment model into Public Cloud, Private Cloud, and Hybrid Cloud. In 2023, the Public Cloud segment holds the dominant market share, driven by its cost-effectiveness, flexibility, and the increasing trend of remote working. Major enterprises and SMEs alike are migrating workloads to public cloud platforms such as Amazon Web Services (AWS) and Microsoft Azure due to their scalability, low maintenance costs, and access to a wide array of services without heavy infrastructure investments. On the other hand, private cloud is preferred by industries with stringent compliance needs, such as banking and healthcare, while hybrid cloud serves as a bridge for organizations aiming for flexibility and control over sensitive data.

By Service Model: The market is segmented by service model into Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). Software-as-a-Service (SaaS) continues to dominate the market due to its ease of deployment, low upfront costs, and wide applications across industries. Companies increasingly rely on SaaS solutions for CRM, ERP, and collaboration tools, with players like Salesforce, Adobe, and Microsoft leading this segment. IaaS, while accounting for a smaller portion of the market, is growing rapidly as businesses seek scalable cloud infrastructure to run dynamic workloads, reduce hardware costs, and improve disaster recovery capabilities.

The North America Cloud Computing market is highly consolidated, with a few major players dominating the landscape. The market's top players include well-established tech giants and cloud-native service providers. Their influence stems from the breadth of their offerings, continuous innovation, and strategic acquisitions.
The competitive landscape is defined by several key players, including:
|
Company Name |
Establishment Year |
Headquarters |
No. of Data Centers |
Cloud Service Offerings |
Cloud Certifications |
Customer Base |
Revenue |
R&D Investments |
Strategic Alliances |
|
Amazon Web Services (AWS) |
2006 |
Seattle, USA |
- |
- |
- |
- |
- |
- |
- |
|
Microsoft Azure |
2010 |
Redmond, USA |
- |
- |
- |
- |
- |
- |
- |
|
Google Cloud |
2008 |
Mountain View, USA |
- |
- |
- |
- |
- |
- |
- |
|
IBM Cloud |
2007 |
Armonk, USA |
- |
- |
- |
- |
- |
- |
- |
|
Oracle Cloud |
2012 |
Redwood Shores, USA |
- |
- |
- |
- |
- |
- |
- |
The North America Cloud Computing market is expected to witness substantial growth over the next five years. This growth will be driven by several factors, including the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies, which are being integrated into cloud services to enhance operational efficiencies and decision-making processes. The growing need for edge computing, 5G integration, and real-time data analytics will further expand the cloud market, particularly in industries such as healthcare, retail, and finance.
|
By Deployment Model |
Public Cloud Private Cloud Hybrid Cloud |
|
By Service Model |
IaaS PaaS SaaS |
|
By Industry Vertical |
BFSI Healthcare Retail IT & Telecom Government |
|
By Enterprise Size |
SMEs Large Enterprises |
|
By Region |
United States Canada |
1.1 Definition and Scope
1.2 Market Taxonomy
1.3 Market Growth Rate
1.4 Market Segmentation Overview
2.1 Historical Market Size
2.2 Year-On-Year Growth Analysis
2.3 Key Market Developments and Milestones
3.1 Growth Drivers
3.1.1 Digital Transformation (Cloud adoption)
3.1.2 Hybrid Cloud Demand (Operational flexibility)
3.1.3 Government Policies (Cloud-first strategies)
3.1.4 Enterprise IT Spending (Scalability needs)
3.2 Market Challenges
3.2.1 Data Security Concerns (Compliance risks)
3.2.2 Legacy Systems (Migration challenges)
3.2.3 Vendor Lock-in (Interoperability issues)
3.3 Opportunities
3.3.1 AI and ML Integration (Enhanced services)
3.3.2 Edge Computing (Latency optimization)
3.3.3 Expanding SMB Cloud Adoption (Cost-effective solutions)
3.4 Trends
3.4.1 Multi-cloud Strategies (Cost management)
3.4.2 Serverless Architectures (Operational agility)
3.4.3 DevOps Cloud Integration (CI/CD pipelines)
3.5 Government Regulations
3.5.1 U.S. Cloud Act (Data sovereignty)
3.5.2 GDPR Impact (Cross-border compliance)
3.5.3 Federal Cloud Smart Strategy (Cloud standardization)
3.6 SWOT Analysis
3.7 Stake Ecosystem
3.8 Porters Five Forces
3.9 Competition Ecosystem
4.1 By Deployment Model (In Value %)
4.1.1 Public Cloud
4.1.2 Private Cloud
4.1.3 Hybrid Cloud
4.2 By Service Model (In Value %)
4.2.1 Infrastructure as a Service (IaaS)
4.2.2 Platform as a Service (PaaS)
4.2.3 Software as a Service (SaaS)
4.3 By Industry Vertical (In Value %)
4.3.1 Banking, Financial Services, and Insurance (BFSI)
4.3.2 Healthcare and Life Sciences
4.3.3 Retail and E-commerce
4.3.4 IT and Telecom
4.3.5 Government and Public Sector
4.4 By Enterprise Size (In Value %)
4.4.1 Small and Medium-Sized Enterprises (SMEs)
4.4.2 Large Enterprises
4.5 By Region (In Value %)
4.5.1 United States
4.5.2 Canada
5.1 Detailed Profiles of Major Companies
5.1.1 Amazon Web Services (AWS)
5.1.2 Microsoft Azure
5.1.3 Google Cloud
5.1.4 IBM Cloud
5.1.5 Oracle Cloud
5.1.6 VMware
5.1.7 Salesforce
5.1.8 Alibaba Cloud
5.1.9 SAP SE
5.1.10 Rackspace Technology
5.1.11 Workday
5.1.12 ServiceNow
5.1.13 DigitalOcean
5.1.14 Hewlett Packard Enterprise (HPE)
5.1.15 Nutanix
5.2 Cross Comparison Parameters
5.3 Market Share Analysis
5.4 Strategic Initiatives
5.5 Mergers and Acquisitions
5.6 Investment Analysis
5.7 Venture Capital Funding
5.8 Private Equity Investments
6.1 Data Protection Regulations (HIPAA, CCPA)
6.2 Compliance Requirements (FedRAMP, SOC 2)
6.3 Certification Processes (ISO 27001, NIST Standards)
7.1 Future Market Size Projections
7.2 Key Factors Driving Future Market Growth
8.1 By Deployment Model
8.2 By Service Model
8.3 By Industry Vertical
8.4 By Enterprise Size
8.5 By Region
9.1 TAM/SAM/SOM Analysis
9.2 Customer Cohort Analysis
9.3 Go-to-Market Strategies
9.4 White Space Opportunity Analysis
The first step involves identifying critical variables affecting the North America Cloud Computing market. This includes an analysis of the regulatory landscape, consumer demand trends, and competitive dynamics. A combination of secondary research, including industry reports, government data, and proprietary databases, forms the foundation of this analysis.
Historical data from cloud providers, including market penetration rates and service adoption trends, is gathered. Analysis is conducted to measure cloud service usage across various industries, including financial services, retail, and healthcare. Data from annual reports of key companies further informs market projections.
Consultations with cloud industry experts via structured interviews ensure the validity of market hypotheses. Insights gathered from leading cloud service providers help refine projections and improve the accuracy of growth estimates for the North American market.
Data from cloud service providers and industry experts is synthesized to create a final market report. This includes both top-down and bottom-up approaches, ensuring comprehensive and validated insights on market trends, opportunities, and challenges in North America.
The North America Cloud Computing market is valued at USD 162.5 billion in 2023. This market is driven by digital transformation initiatives and large-scale adoption of cloud services across multiple industries.
The primary challenges include data security concerns, compliance with evolving regulations, and migration of legacy systems. Moreover, vendor lock-in and interoperability issues are significant hurdles for businesses adopting multi-cloud strategies.
The primary challenges include data security concerns, compliance with evolving regulations, and migration of legacy systems. Moreover, vendor lock-in and interoperability issues are significant hurdles for businesses adopting multi-cloud strategies.
The growth is driven by increasing enterprise demand for scalability, flexibility, and cost-efficiency in IT operations. Additionally, advancements in artificial intelligence, machine learning, and edge computing are pushing cloud adoption.
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