Artificial Intelligence as a Service Market - By Technology (Machine Learning, Computer Vision, Natural Language Processing, Others), By Cloud Type, By Enterprise Size, By Offering, By End User & Forecast, 2024 - 2032
Description
Artificial Intelligence as a Service Market - By Technology (Machine Learning, Computer Vision, Natural Language Processing, Others), By Cloud Type, By Enterprise Size, By Offering, By End User & Forecast, 2024 - 2032
Global Artificial Intelligence as a Service Market will witness over 33% CAGR between 2024 and 2032, driven by continuous product launches and advancements from industry leaders. As leading companies innovate and introduce new AIaaS solutions, businesses across various sectors seek to leverage these cutting-edge technologies to enhance efficiency, productivity, and decision-making processes.
For instance, in January 2024, Oracle announced the availability of its Oracle Cloud Infrastructure Generative AI service, along with new enhancements to facilitate enterprise adoption of the latest advancements in generative AI. The OCI Generative AI service integrated LLMs from Meta Llama 2 and Cohere and was a fully managed solution catering to various business needs.
With a focus on delivering scalable and customizable AI solutions, these advancements cater to the evolving needs of businesses, driving the demand for AIaaS offerings and propelling market growth.
The overall Artificial Intelligence as a Service Market share is classified based on the technology, offering, and region.
Computer vision segment will undergo significant development from 2024 to 2032. Businesses across diverse sectors deploy AIaaS solutions incorporating computer vision capabilities for tasks such as object detection, image recognition, and video analysis. This demand is driven by the need for automation, improved operational efficiency, and enhanced customer experiences. As computer vision continues to revolutionize various industries, the demand for AIaaS offerings tailored to integrate this technology remains robust, fueling market growth.
Artificial intelligence as a service market size from the platform as a service segment will register a noteworthy CAGR from 2024 to 2032. PaaS solutions provide businesses with accessible and scalable platforms to develop, deploy, and manage AI applications without the need for extensive infrastructure investment. This convenience and flexibility attract organizations seeking to leverage AI capabilities without the complexities of in-house development. As PaaS continues to democratize AI adoption, the demand for AIaaS solutions integrated with these platforms rises, fueling market expansion.
Europe artificial intelligence as a service industry will showcase a commendable CAGR from 2024 to 2032. With increasing investments in AI research and development, European businesses are embracing AIaaS to enhance operational efficiency and gain competitive advantages. Additionally, stringent regulations regarding data privacy and security encourage organizations to adopt AIaaS offerings compliant with European Union standards.
As businesses across diverse sectors recognize the transformative potential of AI, the demand for AIaaS in Europe continues to rise, fostering market growth and innovation. For instance, in September 2023, the global EY organization (EY) unveiled EY.ai, a comprehensive platform integrating human expertise with artificial intelligence (AI) to facilitate clients' business transformations through responsible AI adoption. EY.ai harnesses advanced EY technology platforms and AI capabilities bolstered by extensive experience in strategy, transactions, transformation, risk, assurance, and tax, all enhanced by a robust AI ecosystem.
Table of Contents
220 Pages
- Chapter 1 Methodology & Scope
- 1.1 Market scope & definition
- 1.2 Base estimates & calculations
- 1.3 Forecast calculation
- 1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
- 1.4.2.1 Paid sources
- 1.4.2.2 Public sources
- Chapter 2 Executive Summary
- 2.1 Artificial intelligence as a service market 360 degree synopsis, 2018 - 2032
- 2.2 Business trends
- 2.2.1 Total Addressable Market (TAM), 2024-2032
- 2.3 Regional trends
- 2.4 Technology trends
- 2.5 Cloud Type trends
- 2.6 Organization Size trends
- 2.7 Offering trends
- 2.8 Industry Vertical trends
- Chapter 3 Artificial Intelligence as a Service Industry Insights
- 3.1 Industry ecosystem analysis
- 3.2 Supplier landscape
- 3.2.1 Cloud service providers
- 3.2.2 AI solution providers
- 3.2.3 Enterprises and businesses
- 3.3 Profit margin analysis
- 3.4 Technology innovation landscape
- 3.5 Patent analysis
- 3.6 Key news and initiatives
- 3.7 Regulatory landscape
- 3.8 Impact forces
- 3.8.1 Growth drivers
- 3.8.1.1 Demand for optimized procurement processes and enhanced efficiency
- 3.8.1.2 Emphasis on data-driven insights to optimize procurement strategies
- 3.8.1.3 The proliferation of AI systems supply chain management
- 3.8.1.4 Enhanced supplier performance evaluation and risk management
- 3.8.2 Industry pitfalls & challenges
- 3.8.2.1 Poor data quality and integration issues
- 3.8.2.2 Data security concerns
- 3.9 Growth potential analysis
- 3.10 Porter’s analysis
- 3.11 PESTEL analysis
- Chapter 4 Competitive Landscape, 2023
- 4.1 Introduction
- 4.2 Company market share, 2023
- 4.3 Competitive analysis of major market players, 2023
- 4.3.1 Amazon Web Services, Inc.
- 4.3.2 Salesforce, Inc.
- 4.3.3 IBM Corporation
- 4.3.4 Intel Corporation
- 4.3.5 Microsoft
- 4.3.6 BigML, Inc.
- 4.3.7 Google LLC
- 4.4 Competitive positioning matrix, 2023
- 4.5 Strategic outlook matrix, 2023
- Chapter 5 Artificial Intelligence as a Service Market Estimates & Forecast, By Technology
- 5.1 Key trends, by technology
- 5.2 Machine learning (ML)
- 5.3 Computer vision
- 5.4 Natural language processing (NLP)
- 5.5 Others
- Chapter 6 Artificial Intelligence as a Service Market Estimates & Forecast, By Cloud Type
- 6.1 Key trends, by cloud type
- 6.2 Public cloud
- 6.3 Hybrid cloud
- 6.4 Private cloud
- Chapter 7 Artificial Intelligence as a Service Market Estimates & Forecast, By Organization
- 7.1 Key trends, by organization size
- 7.2 Large enterprises
- 7.3 SMEs
- Chapter 8 Artificial Intelligence as a Service Market Estimates & Forecast, By Offering
- 8.1 Key trends, by offering
- 8.2 Infrastructure as a service
- 8.3 Platform as a service
- 8.4 Software as a service
- Chapter 9 Artificial Intelligence as a Service Market Estimates & Forecast, By Industry Vertical Industry
- 9.1 Key trends, by industry vertical
- 9.2 Banking, Financial, and Insurance (BFSI)
- 9.3 Healthcare and life sciences
- 9.4 Retail
- 9.5 IT & telecommunication
- 9.6 Government and defense
- 9.7 Manufacturing
- 9.8 Energy & utility
- 9.9 Others
- Chapter 10 Artificial Intelligence as a Service Market Estimates & Forecast, By Region
- 10.1 Key trends, by region
- 10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
- 10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Italy
- 10.3.5 Spain
- 10.3.6 Russia
- 10.3.7 Nordics
- 10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Southeast Asia
- 10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Argentina
- 10.6 MEA
- 10.6.1 South Africa
- 10.6.2 Saudi Arabia
- 10.6.3 UAE
- Chapter 11 Company Profiles
- 11.1 Amazon Web Services, Inc.
- 11.2 Alibaba Cloud
- 11.3 Baidu Cloud
- 11.4 BigML, Inc.
- 11.5 C3.ai
- 11.6 Datarobot
- 11.7 Fair Isaac Corporation
- 11.8 Google LLC
- 11.9 H2O.ai
- 11.10 IBM Corporation
- 11.11 Intel Corporation
- 11.12 Iris.ai
- 11.13 Microsoft
- 11.14 NVIDIA
- 11.15 Oracle Corporation
- 11.16 Rainbird Technologies
- 11.17 Salesforce, Inc.
- 11.18 SAP SE
- 11.19 Siemens
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