AI Platform Cloud Service Market Scope
AI Platform is used to train machine learning models at scale, to host the trained model in the cloud, and to use model to make predictions about new data. This includes support for gathering and preparing data as well as training, testing, and deploying machine learning models for applications at scale. The prepackaged solutions of the top cloud providers like Google Cloud, amazon and other help integrate AI into products. Cloud is now being applied for navigating ships carrying cargo, thus connecting online and offline retail markets. It is also supporting companies with ML services in fintech for fraud detection and many more. According to secondary research the artificial intelligence is expected to increase economic output by USD 13 trillion in the coming decade. The organizations that entirely absorb this technology will double their cash flow in that time, while firms that donít, could see a 20% drop.
The AI Platform Cloud Service market study is segmented by Type (Solution and Service) and major geographies with country level break-up.
The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global AI Platform Cloud Service market throughout the predicted period.
Oracle Corporation (United States), Microsoft Corporation (United States), IBM (United States), Google (United States), Infosys Limited (India), Amazon Web Services (United States), Wipro Limited (India), Baidu Inc. (China), Informatica (United States), Nuance Communications (United States), iFLYTEK (China), Salesforce (United States), ZTE Corporation (China) and H2O.ai (United States) are some of the key players that are part of study coverage.
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.
AdvanceMarketAnalytics has segmented the market of Global AI Platform Cloud Service market by Type, Application and Region.
On the basis of geography, the market of AI Platform Cloud Service has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).
Market Leaders and their expansionary development strategies
On 29th Mar, 2021 - Google Cloud and Commerzbank, a leading German commercial bank with a strong international focus, announced today that they are expanding their collaboration by entering into a five-year, strategic partnership. With the help of Google Cloud, Commerzbank will move a significant number of its banking applications to the cloud, a continuation of a comprehensive digital transformation strategy underway since 2017.
On 19th April, 2021 - Google Cloud and Siemens, an innovation and technology leader in industrial automation and software, has announced a new cooperation to optimize factory processes and improve productivity on the shop floor. Siemens intends to integrate Google Cloudís leading data cloud and artificial intelligence/machine learning (AI/ML) technologies with its factory automation solutions to help manufacturers innovate for the future. and On 19th May, 2019 - Oracle has extended the artificial intelligence (AI) capabilities within Oracle Enterprise Resource Planning (ERP) Cloud and Oracle Enterprise Performance Management (EPM) Cloud. The latest machine learning-based innovations include an expense reporting assistant, project management digital assistant, advanced financial controls and project-driven supply chain management.
- Growing Demand for Virtual Assistants In These Cloud Platforms
- Rising Adoption of Hybrid Cloud
- Growing 5G Adoption and Mobile Penetration
- Rapid Adoption of AI in Industries, Such As Retail, Automotive, And Manufacturing
- Increasing Demand for Intelligent Business Processes
- Growing Innovations across End-Users
- The AI Platform Cloud is Extremely Cost-Prohibitive
Key Target AudienceAI Service Providers, End-Use Industries, Network Providers, Telecom Industry and Others
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