IMR posted new studies guide on Artificial Intelligence as a Service (AIaaS) Market Insights with self-defined Tables and charts in presentable format. In the Study you may locate new evolving Trends, Drivers, Restraints, Opportunities generated via targeting market related stakeholders. The boom of the Artificial Intelligence as a Service (AIaaS) marketplace became specifically driven with the aid of the growing R&D spending internationally.
Some of the Top Leading Key Players:
IBM (US), Microsoft (US), Google (US), AWS (US), FICO (US), SAS Institute (US), Baidu (China), SAP (Germany), Salesforce (US), Oracle (US), Iris.AI (US), Craft.AI (France), BigML (US), H2O.ai (US), Vital.ai (US), Fuzzy.ai (Canada), RainBird Technologies (UK), SiftScience (US), DataBricks (US), CenturySoft (India), DataRobot (US), Alibaba (China), Tencent (China), Dataiku (US), Yottamine Analytics (US), Tecnotree (Finland), Cloudera (US), Other Major Players
Artificial Intelligence as a Service (AIaaS) Market Size Was Valued at USD 9.30 Billion in 2023, and is Projected to Reach USD 226.76 Billion by 2032, Growing at a CAGR of 42.60% From 2024-2032.
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Artificial Intelligence as a Service (AIaaS) denotes the cloud-driven provision of AI functionalities, enabling companies to utilize AI resources without the need for expensive infrastructure or specialized knowledge. AIaaS allows companies to incorporate AI-based solutions, including machine learning, natural language processing, and computer vision, into their processes without the need for internal AI development. By providing AI capabilities through a subscription or pay-as-you-go model, AIaaS broadens access to AI technology, allowing businesses of all scales to utilize it more readily.
Segmentation Analysis of the Artificial Intelligence as a Service (AIaaS) Market
By Technology
- Machine Learning
- Natural Language Processing
- Context Awareness
- Computer Visison
By Cloud Type
- Public Cloud
- Hybrid Cloud
- Private Cloud
By Organization Size
- Small & Medium-Sized Enterprises
- Large Enterprises
By Offering
- Infrastructure as a Service
- Platform as a Service
- Software as a Service
By Vertical
- Banking, financial services, and insurance
- Retail & eCommerce
- Healthcare & life sciences
- IT & ITeS
- Telecommunications
- Government & defense
- Manufacturing
- Energy & utilities
- Other Verticals
Artificial Intelligence as a Service (AIaaS) Market Trend Analysis
The AIaaS sector offers considerable prospects for development and creativity. A significant area of potential lies in the combination of AI and the Internet of Things (IoT), where insights powered by AI can improve real-time data handling and automation. Moreover, AIaaS can significantly contribute to cybersecurity by assisting companies in identifying and addressing threats through AI-based anomaly detection. The growth of AI in healthcare presents another encouraging opportunity, since AIaaS solutions can aid in drug discovery, personalized medicine, and medical diagnostics. In addition, the rise of AI-driven automation in business operations is anticipated to boost the need for AIaaS, helping businesses to enhance operations, cut expenses, and increase efficiency.
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Key Industry Developments in the Artificial Intelligence as a Service (AIaaS) Market:
- In March 2023, Google Cloud introduced Generative AI support in Vertex AI that allows data science teams access to foundation models from Google and others, enables them build and customize atop these models on the same platform they use for homegrown ML models and MLops.
- In March 2023, Salesforce launched Einstein GPT, a generative AI CRM technology, which delivered AI-created content across every sale, service, marketing, commerce, and IT interaction at a hyper-scale.
- In January 2023, Microsoft extended its partnership with OpenAI to accelerate AI breakthroughs to ensure these benefits were broadly shared with the world
Regional Analysis
North America is Expected to Dominate the Market Over the Forecast period
Geographically, the distinctive analysis of consumption, revenue, market share, and growth rate of the subsequent areas:
- North America (U.S., Canada, Mexico)
- Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
- Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
- Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New-Zealand, Rest of APAC)
- Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
- South America (Brazil, Argentina, Rest of SA)
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Strategic Points Covered in Table of Content of Artificial Intelligence as a Service (AIaaS) Market:
Chapter One: Introduction
Chapter Two: Executive Summary
Chapter Three: Artificial Intelligence as a Service (AIaaS) Market Landscape
Chapter Four: Artificial Intelligence as a Service (AIaaS) Market by Type
Chapter Five: Artificial Intelligence as a Service (AIaaS) Market by Application
Chapter Six: Company Profiles and Competitive Analysis
Chapter Seven: Global Artificial Intelligence as a Service (AIaaS) Market by Region
Chapter Eight: Analyst Viewpoint and Conclusion
Chapter Nine: Research Methodology
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