Cloud platform vendors have become major facilitators of AI solutions development by strengthening computing capabilities to process large AI workloads and improving data integration to simplify ETL, warehousing, and analytics. They have rapidly developed generative AI modeling tools and solutions that address use cases, such as automating query resolution, generating personalized content, assisting developers in coding, and summarizing large datasets. Additionally, they are collaborating with AI technology vendors to integrate new foundation models into their AI application development platforms.
Both demand-side and supply-side trends are covered in our Cloud Platforms 2023 Market Insights™ and Cloud Platforms 2023 RadarView™, respectively. These reports present a comprehensive study of cloud platform providers and closely examine market leaders, innovators, disruptors, and challengers.
Avasant evaluated 10 providers using three dimensions: product maturity, enterprise adaptability, and innovation road map. Of these, we recognized six providers who brought the most value to the market over the past 12 months.
The RadarView recognizes platform providers in four categories:
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- Leaders: AWS, Google, and Microsoft
- Innovators: IBM
- Disruptors: Oracle
- Challengers: DigitalOcean
The following figure from the full report illustrates these categories:
“As a key foundation for digital transformation, Cloud platform providers have rapidly embraced the generative AI wave,” said Anupam Govil, partner at Avasant. “These have become the de facto platforms for computing, data integration, and modeling of generative AI use cases.”
The reports provide a number of findings, including the following:
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- Enterprises are utilizing cloud platforms to host applications at a central location, integrate data from different business functions, and leverage analytics capabilities. This improves decision-making for stakeholders by enabling data sharing, enhancing data visibility, and generating insights.
- Companies are deploying generative AI solutions integrated with cloud platforms to enhance customer experience and employee productivity. These solutions address multiple use cases, such as creating personalized content, automating responses to customer queries, assisting developers in code generation, and summarizing large datasets.
- To meet regulatory requirements for data residency, security, and governance, organizations are adopting sovereign clouds launched by major cloud platform providers to ensure secured data storage within the geographical boundaries of concerned jurisdictions and prohibit extraterritorial access to any government or private entity.
- Cloud platform providers enable AI solution development by enhancing computing capabilities to process large AI workloads and improving data integration to simplify ETL, warehousing, and analytics. They also collaborate with AI technology companies to integrate new foundation models into their AI application development platforms.
- Enterprises are implementing sustainability solutions from major cloud platform providers to automate the calculation of greenhouse gas emissions and unify and standardize ESG data from different business functions, facilitating data analysis and reporting. These solutions also incorporate multiple ESG reporting standards and ensure compliance with regulatory requirements.
“Cloud platform providers are emphasizing the importance of mainframe modernization services to improve agility and scalability of their clients’ IT infrastructures,” said Gaurav Dewan, research director at Avasant. “The strategies of refactoring, replatforming, and data replication offer effective paths to achieve these critical transformation goals.”
The Cloud Platforms 2023 RadarView™ also features profiles of the six cloud platform providers, including their solutions, offerings, and experience in assisting enterprises with cloud adoption.
This Research Byte is a brief overview of the Cloud Platforms 2023 Market Insights™ and Cloud Platforms 2023 RadarView™. (click for pricing).