• March 6, 2025 |
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Digital Ecosystems and Platform-Based Business Models in the U.S.: Cloud Computing and Policy Implications

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ABSTRACT
Digital ecosystems in the U.S. are anchored by cloud computing platforms that provide on-demand resources to businesses and consumers. These ecosystems exhibit strong network effects, as platform orchestrators set rules for broad participant communities and leverage data to drive innovation. Major players like AWS, Microsoft Azure, and Google Cloud command significant market shares, sparking debates over vendor lock-in and the risks of concentrated infrastructure. Policy challenges include data privacy, cross-border data flows, and potential antitrust implications of platform dominance. National security considerations also arise when cloud providers host critical government or defense workloads. While stringent regulation may mitigate systemic risks, it must be balanced to sustain the innovation benefits enabled by these platforms. The outlook suggests a continued policy tug-of-war between promoting vibrant digital ecosystems and controlling market power.

Introduction

Digital ecosystems—networks of interconnected digital platforms, services, and stakeholders—have emerged as a dominant paradigm in the modern economy[1]. Platform-based business models, wherein a central “platform” facilitates interactions among multiple user groups, are fueling a vast array of commerce and innovation exchanges[2]. In the United States, tech giants like Amazon, Microsoft, and Google have nurtured these ecosystems, powered by cloud computing as a foundational technology[3].

Cloud computing provides on-demand processing power, data storage, and software services that enable platforms to scale quickly, reducing entry barriers for new digital businesses[4]. This study explores the growth of digital platform ecosystems in the U.S., paying particular attention to the role of cloud computing. It then examines salient policy considerations—data privacy, antitrust, and critical infrastructure oversight—that have arisen as policymakers confront the influence and potential risks of dominant platforms.

Theoretical foundations of digital ecosystems

Defining Digital Platforms and Ecosystems. Digital platforms are multi-sided frameworks that connect distinct user groups, enabling direct interactions or transactions[2]. They harness network effects, meaning the platform gains value as more users adopt it. An ecosystem evolves around each platform, encompassing complementors (e.g., developers, third-party vendors), end users, and a governance structure set by the platform itself[5]. The platform orchestrator can impose rules and standards that effectively govern how ecosystem participants interact[6]. These features differ markedly from traditional one-sided businesses, as platforms’ success hinges on nurturing a vibrant network of participants.

Cloud Computing as an Enabler. Over the past decade, cloud computing has become the cornerstone of digital ecosystems[4]. By delivering computing resources over the internet on a pay-as-you-go basis, cloud services lower fixed infrastructure costs, accelerate software deployment, and support global scaling[3]. Start-ups no longer need extensive capital outlays for data centers; they can “rent” capacity from Amazon Web Services (AWS), Microsoft Azure, or Google Cloud. This capability has fostered innumerable new platforms and services, in fields ranging from fintech to e-commerce[4]. As Kenney and Zysman observed, the “migration of algorithms and data to the cloud has created the infrastructure on which platform-based markets and ecosystems operate”[2, p. 63].

Platform Governance and Ecosystem Health. Research on platform ecosystems often underscores governance—the rules, standards, and strategies that orchestrators adopt to maintain ecosystem health[6]. This governance can fuel innovation (by encouraging third-party development) or stifle it (by over-policing ecosystem members)[5]. Companies such as Amazon and Microsoft simultaneously attract innovators to their cloud infrastructures and impose requirements that may limit how participants operate. While these practices can protect consumer experience and data integrity, they also raise questions about fairness and monopoly power[7,8]. These concerns have become increasingly salient in the U.S. context as regulators and policymakers scrutinize the vast influence of digital platforms.

Case studies: Leading U.S. cloud platforms

Amazon Web Services (AWS)

Launched in 2006, AWS pioneered commercial cloud computing[9]. It quickly evolved into a robust innovation platform, hosting resources for start-ups, established enterprises, and public agencies[3]. AWS benefits from multi-sided network effects: as more customers adopt AWS for their cloud needs, more independent software vendors (ISVs) build on or integrate with AWS, attracting yet more customers[9].

By late 2024, AWS held around 30% of the global cloud infrastructure market, cementing its role as a quasi-utility for modern digital services[10]. Prominent cloud-based platforms—such as Netflix, Airbnb, and numerous others—depend on AWS’s elastic computing and analytics capabilities[10]. Nevertheless, AWS faces scrutiny from regulators. In 2021, the Federal Trade Commission (FTC) expanded an antitrust investigation into AWS, examining whether it uses market dominance to stifle competition or self-preference Amazon’s own services[7].

Microsoft Azure

Introduced in 2010, Microsoft Azure is the second-largest cloud platform, with about 21% global market share by Q4 2024 [10]. By leveraging Microsoft’s existing user base—particularly enterprises that rely on Windows, Office, and other software—Azure organically grew a massive clientele [8]. It also cultivated a partner ecosystem: integrators, consultants, and third-party developers all extend Azure’s reach[11]. However, Azure has not been immune to antitrust debates. The FTC has investigated claims that Microsoft imposes higher fees and contractual barriers for running Windows or Office on non-Azure clouds, allegedly to discourage customers from multi-cloud or competitive offerings[7]. Critics argue such practices undermine competition and innovation in the broader cloud market[12].

Google Cloud Platform (GCP)

As a later entrant, Google Cloud Platform (GCP) is a challenger, with around 12% global market share in late 2024[10]. GCP leverages Google’s strengths in artificial intelligence, data analytics, and open-source partnerships[13]. It has formed alliances with firms behind MongoDB, Elastic, and Redis to differentiate itself from AWS[13]. Despite its smaller share compared to AWS and Azure, GCP has rapidly expanded, appealing to clients who seek specialized AI tools or a “multi-cloud” approach[14]. Google also faces regulatory scrutiny, particularly linked to broader antitrust lawsuits over its search and advertising businesses[15]. GCP itself, however, is sometimes perceived as bolstering competition by offering an alternative to the AWS–Azure duopoly[13].

The following table and figure illustrate the distribution of global cloud infrastructure market share in Q4 2024, highlighting the dominance of AWS and Azure, and the relative positioning of Google Cloud.

Table 1. Cloud market share (Q4 2024)

Figure 1. Cloud infrastructure market share (Q4 2024)

Key policy concerns

1. Data privacy and security

U.S. digital ecosystems rely heavily on user data, raising vital privacy and security concerns[16]. Unlike the EU’s General Data Protection Regulation (GDPR), the United States lacks a unified federal privacy law[16]. Instead, it depends on a mosaic of state-level and sector-specific laws (such as California’s Consumer Privacy Act for residents or HIPAA for health data). Cloud providers must navigate this legal patchwork while ensuring robust data protection. This challenge deepens when considering cross-border data flows. The 2018 U.S. CLOUD Act, for instance, empowers law enforcement to compel U.S.-based providers to disclose data stored abroad, straining international diplomacy[17].

From a security perspective, a breach or outage in a major cloud provider can reverberate across thousands of dependent businesses[12]. Consequently, policymakers and federal agencies increasingly treat big cloud platforms as part of the critical infrastructure ecosystem[12,18]. Reports by think tanks and government bodies urge more stringent oversight, incident reporting requirements, and potentially stress tests for resilience[18]. The question is whether regulations can be shaped to mitigate systemic risks without smothering the benefits of on-demand cloud scaling.

2. Antitrust and competition

U.S. antitrust authorities, including the FTC and the Department of Justice (DOJ), have heightened their scrutiny of dominant digital platforms[8]. The House Judiciary Committee’s 2020 investigation concluded that Amazon, Apple, Facebook (now Meta), and Google hold monopoly power in several digital markets, recommending reforms to prevent self-preferencing and exclusionary practices[15]. In cloud services, antitrust enforcers focus on potential “lock-in.” For example, proprietary tools or licensing terms can make it cumbersome for customers to switch from AWS to Azure or GCP, or vice versa[12]. Such lock-in reinforces incumbents’ market power and possibly deters new entrants.

There is also debate on whether large cloud providers should be treated as essential facilities, similar to utilities in network industries[7]. If regulators adopted this concept, they might mandate open access or fair licensing, analogous to how telecommunications or electricity markets are regulated. Critics counter that the fast-evolving nature of cloud technology does not neatly fit these utility regulations and that heavy-handed oversight could hamper innovation[8]. Nevertheless, the impetus to reexamine antitrust tools—particularly around vertical integration and bundling—remains strong in Washington, D.C.[7].

3. Critical infrastructure and national security

With so much economic activity dependent on cloud services, the failure or compromise of a single provider risks cascading disruptions[12]. Such concentrations of risk have not gone unnoticed by policy experts. For instance, Azure, AWS, and GCP host sensitive government data, including for the Department of Defense and intelligence agencies[19]. In response, the U.S. government has instituted programs like FedRAMP (Federal Risk and Authorization Management Program), establishing baseline security standards for cloud providers that serve federal agencies[20]. Policymakers now weigh additional measures, such as requiring more diversity in federal cloud contracts to avoid a single point of failure, or mandating formal risk assessments for large cloud providers similar to those in banking[12,18].

Meanwhile, cyberattacks on cloud infrastructure or foreign surveillance concerns have spurred discussions about “data sovereignty.” While full data localization is not a primary U.S. policy (unlike in some countries), agencies increasingly question how to ensure platform resilience, data integrity, and chain-of-custody controls[12]. The broader policy issue is whether to treat dominant cloud operators as regulated utilities (akin to energy or telecom) or to continue with a more decentralized, market-driven approach.

4. Innovation and economic growth

Critics of tough new regulations warn that they could stifle innovation. Cloud-based ecosystems can spur entrepreneurship, as new ventures can quickly deploy services without massive upfront costs[1]. The result is a burst of creativity in fields from e-commerce to digital health, with cloud-native start-ups introducing novel solutions[4]. Additionally, the platform model can aggregate large developer communities, stimulating the co-creation of applications and complementary services. Proponents of a lighter regulatory touch argue that this dynamism might be compromised if regulatory constraints force providers to lower integration or restrict new functionalities[8].

Nevertheless, there are claims that large platforms can overshadow smaller innovators, creating a so-called “kill zone” around their core businesses[15]. For instance, Amazon may replicate a third-party’s successful cloud software, bundling an Amazon version at a lower cost. Investors might thus shy away from funding direct competitors, curbing capital flow for new businesses[15]. One policy idea is to require data portability and system interoperability to lower entry barriers, so entrepreneurs can port their users or apps more easily to alternative clouds or platforms[7]. Another is to strengthen merger oversight, especially if a giant platform aims to acquire a young rival. Balancing these tensions—encouraging innovation while preventing excessive dominance—lies at the heart of the ongoing U.S. platform governance debate.

Table 2 summarizes the principal cloud-related policy concerns in the U.S., along with the most prominent regulatory proposals currently under discussion.

Table 2. Key U.S. cloud policy concerns and responses

Policy outlook in the United States

The path to comprehensive legislation on digital platforms remains uncertain. While the EU has advanced sweeping policies such as the Digital Markets Act, U.S. Congress has been slower to enact equivalent rules[1]. Instead, incremental measures and enforcement actions dominate the policy landscape. Recent or prospective changes include:

  • Federal Trade Commission Enforcement: The FTC’s investigations into Amazon, Microsoft, Google, and other tech leaders may yield precedents on self-preferencing, bundling, or monopoly conduct. Litigation outcomes could shape platform behavior and clarify antitrust limits[7,8].
  • Data Privacy Legislation: Several bipartisan proposals for a federal privacy law have circulated, though none have passed thus far[6]. If a national standard emerges, cloud platforms may face uniform rules for handling personal data, rather than the current patchwork.
  • Critical Cloud Regulation: Calls to treat major cloud providers as critical infrastructure may yield new security, reporting, and redundancy requirements[12,18]. Agencies might impose stricter guidelines for cloud providers hosting government or critical industry data.
  • Standards for Interoperability: Mandating interoperability is an option for curbing lock-in and promoting multi-cloud strategies. Some regulators advocate forcing large platforms to support open APIs or data-porting capabilities[8].
  • Innovation Incentives: Public funding for AI research, cloud-edge computing, and other frontier technologies may help smaller firms innovate without relying solely on giant incumbents[1]. This approach would complement more rigorous antitrust oversight.

Conclusion

Digital ecosystems built around platform-based business models are now integral to the U.S. economy, and cloud computing serves as their backbone. Companies like Amazon, Microsoft, and Google have exploited the elasticity and scalability of the cloud to become de facto gatekeepers in multiple digital markets[3,10]. Their orchestration of ecosystems creates efficiencies and fosters innovation, but also raises concerns about data privacy, vendor lock-in, and systemic risk. As policymakers consider how best to regulate these platforms, they face the challenge of protecting competition and consumer rights without inhibiting the dynamism that underlies tech-driven growth[1,7].

Looking ahead, the regulatory trajectory will likely combine intensified antitrust scrutiny with gradual expansions of privacy law and critical infrastructure oversight. The U.S. approach—focusing on case-by-case enforcement and voluntary codes—may persist unless landmark court decisions or legislative breakthroughs occur. Regardless, the central role of cloud computing in digital ecosystems is bound to amplify calls for transparent governance. Should a major cloud outage or data breach strike, pressures for stricter regulation would intensify, prompting policymakers to treat cloud incumbents increasingly like public utilities. Striking the right balance between a robust, open environment for innovation and appropriate checks on market power remains the critical challenge. The outcomes of this policy discourse in the coming years will shape how U.S. digital ecosystems continue to develop and influence global standards for platform governance.

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REFERENCES AND NOTES

  • [1] Bauer, J. M. (2023). US Leadership in Digital Platform Policy. American Enterprise Institute. (Discusses shifting attitudes toward Big Tech regulation in the U.S. and contrasts U.S.–EU approaches)
  • [2] Kenney, M., & Zysman, J. (2016). The Rise of the Platform Economy. Issues in Science and Technology, 32(3), 61–69. (Analyzes how cloud computing and big data enabled platform-based ecosystems)
  • [3] Cusumano, M. A., Gawer, A., & Yoffie, D. B. (2019). The Business of Platforms: Strategy in the Age of Digital Competition, Innovation, and Power. Harper Business. (Offers a typology of transaction and innovation platforms)
  • [4] Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing – The business perspective. Decision Support Systems, 51(1), 176–189. (Discusses how cloud computing reduces barriers to entry for digital ventures)
  • [5] Parker, G. G., Van Alstyne, M. W., & Choudary, S. P. (2016). Platform Revolution: How Networked Markets Are Transforming the Economy—and How to Make Them Work for You. W.W. Norton & Company. (Explains how platforms orchestrate ecosystems and manage network effects)
  • [6] Gawer, A., & Cusumano, M. (2014). Industry platforms and ecosystem innovation. Journal of Product Innovation Management, 31(3), 417–433. (Highlights how platform leaders set rules and standards to govern ecosystems)
  • [7] Swain, G. (2024, November 15). FTC eyes Microsoft’s cloud practices amid antitrust scrutiny. Computerworld. (Reports on FTC inquiries into Azure’s licensing terms and competition issues)
  • [8] The House Judiciary Subcommittee on Antitrust, Commercial and Administrative Law. (2020). Investigation of Competition in Digital Markets. (Examines dominant U.S. digital platforms and proposes antitrust reforms)
  • [9] Barr, J. (2015). A Brief History of AWS. AWS News Blog. (Early official account of Amazon Web Services’ development and growth)
  • [10] Synergy Research Group. (2025). Cloud Market Q4 2024. (Industry data on global cloud infrastructure market shares for AWS, Azure, and Google Cloud)
  • [11] Microsoft. (2022). Azure Partner Ecosystem. (Describes Microsoft’s partner network supporting Azure adoption and integration)
  • [12] Atlantic Council. (2023). Cloud Infrastructure as Critical Infrastructure. (Argues that leading cloud providers warrant heightened oversight due to systemic risk)
  • [13] CNBC. (2019). Google Cloud partners with open-source companies. (Covers Google’s alliances to differentiate from Amazon’s approach)
  • [14] Ganguly, N. (2022). Multi-Cloud Strategies on the Rise. TechCrunch. (Describes enterprise motivations for adopting multiple cloud providers)
  • [15] U.S. House Committee on the Judiciary. (2020). Majority Staff Report on Monopoly Power in Digital Markets. (Discusses “kill zone” effects and platform expansion into adjacent markets)
  • [16] DLA Piper. (2024). Data Protection Laws in the United States: A Comparative Overview. (Survey of U.S. privacy regulations and state-level statutes)
  • [17] U.S. Congress. (2018). Clarifying Lawful Overseas Use of Data (CLOUD) Act. Pub. L. No. 115-141. (Outlines law enforcement data access provisions)
  • [18] National Institute of Standards and Technology (NIST). (2023). Enhancing Resilience in Cloud Services. (Government guidelines for cloud security and risk management)
  • [19] Department of Defense. (2023). Joint Warfighting Cloud Capability (JWCC). (Explains the Pentagon’s cloud procurement and security requirements)
  • [20] GSA. (2023). FedRAMP Authorization Program. (Describes baseline security standards for cloud services used by federal agencies)

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