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市场调查报告书
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2024-2032 年按技术、组织规模、垂直产业和地区分類的人工智慧即服务市场报告

Artificial Intelligence-as-a-Service Market Report by Technology, Organizations Size, Vertical, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 138 Pages | 商品交期: 2-3个工作天内

价格

IMARC Group年，全球人工智慧即服务市场规模达到 113 亿美元。人工智慧模型的开发和实施需要高水准的技术专业知识，对强大的安全措施、资料加密和合规框架的持续投资，以及开发更先进的演算法、模型和基于人工智慧的解决方案是其中的一些主要内容。

人工智慧即服务 (AIaaS) 是一种基于云端的模型，可为个人和组织提供人工智慧功能，而无需在时间、专业知识和资源方面进行大量前期投资。该服务使用户能够利用复杂的人工智慧工具进行资料分析、自然语言处理、机器学习和其他智慧功能，通常透过简单的 API 或图形使用者介面。 AIaaS 使用者无需从头开始开发 AI 模型，而是可以将预先训练的、可自订的模型整合到他们的应用程式或流程中。这使得企业能够快速且经济地采用人工智慧技术，无论其技术能力如何。此外，AIaaS 还可以根据业务需求灵活地扩大或缩小 AI 功能的使用，从而提供一种经济高效的方式来试验 AI、推动创新、提高营运效率并为客户创造新价值。

推动人工智慧即服务 (AIaaS) 市场成长的关键因素之一是其可扩展性和灵活性。 AIaaS 平台设计用于满足企业不同的需求和工作负载。随着组织扩大或缩小其人工智慧需求，他们可以轻鬆调整 AIaaS 供应商分配的资源和运算能力。这种可扩展性使得公司无需随着人工智慧需求的成长而投资额外的硬体或基础设施，从而降低前期成本和营运复杂性。除此之外，开发和实施需要高水平技术专业知识（包括资料科学家和人工智慧工程师）的人工智慧模型正在为市场提供大力支援。这使得人工智慧的采用对于一些组织来说充满挑战且成本高昂，尤其是资源有限的中小型企业 (SME)。此外，为了确保保护客户资料并遵守行业法规，对强大的安全措施、资料加密和合规框架的投资不断增加，正在对市场产生积极影响。这些投资的结果是，人工智慧研究取得了重大进展，推动了更先进的演算法、模型和基于人工智慧的解决方案的开发。 AIaaS 供应商可以利用这些尖端技术为其客户提供最先进的 AI 功能。

人工智慧即服务市场趋势/驱动因素：

云端运算基础设施的进步

云端运算基础设施的快速扩张一直是人工智慧即服务（AIaaS）的主要市场驱动力。 Amazon Web Services (AWS)、Microsoft Azure 和 Google Cloud 等云端供应商已投入大量资金开发强大且可扩展的云端平台，以适应人工智慧应用程式的资源密集型特性。这些云端服务提供强大的运算能力、灵活的储存和高速网络，使公司能够有效率且经济高效地部署和运行人工智慧模型。这种在云端上存取强大人工智慧功能的方式消除了对硬体和基础设施进行大量前期投资的需要，从而使人工智慧在各个行业和企业中的采用更加民主化。随着云端供应商不断增强其产品并提高人工智慧相关服务的可用性，它创造了一个良性循环，推动了进一步的采用和创新。新创公司和企业现在可以利用 AIaaS 来加速研究、产品开发和决策流程，从而提高整个营运的效率和生产力。

各行业对人工智慧解决方案的需求不断增长

各行业对人工智慧解决方案日益增长的需求是 AIaaS 的另一个关键市场驱动力。同时，企业正积极寻求利用人工智慧技术获得竞争优势、增强客户体验、优化营运和推动创新的方法。 AIaaS 透过提供可存取、可扩展且经济高效的 AI 功能来提供可行的解决方案，而无需组织建立和维护内部 AI 专业知识。此外，医疗保健、金融、零售、製造和物流等行业正在采用 AIaaS 来简化流程、从大量资料集中提取见解并改善决策。例如，人工智慧驱动的预测分析在医疗保健领域用于识别患者结果并优化治疗计划，而在零售业，人工智慧驱动的推荐系统可增强个人化购物体验。此外，随着企业认识到人工智慧在解决复杂问题和从巨量资料中提取有价值的见解方面的潜力，对 AIaaS 解决方案的需求不断增长。

人工智慧新创公司和创新的激增

人工智慧新创公司和创新的激增极大地促进了 AIaaS 的成长。随着人工智慧成为一项变革性技术，新创公司不断涌现，以解决利基产业挑战并创造颠覆性解决方案。一些新创公司专注于提供满足特定用例或行业的 AIaaS 平台，提供专门的 AI 功能和服务。这些新创公司经常利用成熟云端供应商的资源来建立和部署他们的人工智慧模型，使他们更容易进入市场并与更大的参与者竞争。此外，新鲜想法和新颖的人工智慧应用的不断涌入刺激了人工智慧aaS市场的良性竞争并促进创新。

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 资料来源
    • 主要资源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：简介

  • 概述
  • 主要行业趋势

第 5 章：全球人工智慧即服务市场

  • 市场概况
  • 市场业绩
  • COVID-19 的影响
  • 市场预测

第 6 章：市场区隔：依技术

  • 机器学习 (ML) 与深度学习
    • 市场走向
    • 市场预测
  • 自然语言处理（NLP）
    • 市场走向
    • 市场预测

第 7 章：市场区隔：依组织规模

  • 大型企业
    • 市场走向
    • 市场预测
  • 中小企业 (SME)
    • 市场走向
    • 市场预测

第 8 章：市场区隔：依垂直领域

  • 银行、金融和保险 (BFSI)
    • 市场走向
    • 市场预测
  • 医疗保健和生命科学
    • 市场走向
    • 市场预测
  • 零售
    • 市场走向
    • 市场预测
  • 电信
    • 市场走向
    • 市场预测
  • 政府和国防
    • 市场走向
    • 市场预测
  • 製造业
    • 市场走向
    • 市场预测
  • 活力
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 9 章：市场区隔：按地区

  • 北美洲
    • 美国
      • 市场走向
      • 市场预测
    • 加拿大
      • 市场走向
      • 市场预测
  • 亚太
    • 中国
      • 市场走向
      • 市场预测
    • 日本
      • 市场走向
      • 市场预测
    • 印度
      • 市场走向
      • 市场预测
    • 韩国
      • 市场走向
      • 市场预测
    • 澳洲
      • 市场走向
      • 市场预测
    • 印尼
      • 市场走向
      • 市场预测
    • 其他的
      • 市场走向
      • 市场预测
  • 欧洲
    • 德国
      • 市场走向
      • 市场预测
    • 法国
      • 市场走向
      • 市场预测
    • 英国
      • 市场走向
      • 市场预测
    • 义大利
      • 市场走向
      • 市场预测
    • 西班牙
      • 市场走向
      • 市场预测
    • 俄罗斯
      • 市场走向
      • 市场预测
    • 其他的
      • 市场走向
      • 市场预测
  • 拉丁美洲
    • 巴西
      • 市场走向
      • 市场预测
    • 墨西哥
      • 市场走向
      • 市场预测
    • 其他的
      • 市场走向
      • 市场预测
  • 中东和非洲
    • 市场走向
    • 市场细分：按国家/地区
    • 市场预测

第 10 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 11 章：价值链分析

第 12 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第 13 章：价格分析

第14章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Amazon Web Services Inc. (Amazon.com Inc.)
    • Arm Limited (SoftBank Group Corp.)
    • DataRobot Inc.
    • FICO
    • Intel Corporation
    • International Business Machines Corporation
    • Microsoft Corporation
    • Nividia Corporation
    • Oracle Corporation
    • Salesforce Inc.
    • SAP SE
    • SAS Institute Inc.
Product Code: SR112024A6031

The global artificial intelligence-as-a-service market size reached US$ 11.3 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 179.6 Billion by 2032, exhibiting a growth rate (CAGR) of 35% during 2024-2032. The development and implementation of AI models requiring a high level of technical expertise, the escalating investments in robust security measures, data encryption, and compliance frameworks, and the development of more advanced algorithms, models, and AI-based solutions are some of the major factors propelling the market.

Artificial intelligence-as-a-service (AIaaS) is a cloud-based model that offers AI capabilities to individuals and organizations without the need for substantial upfront investment in time, expertise, and resources. The service enables users to leverage sophisticated AI tools for data analysis, natural language processing, machine learning, and other intelligent functions, often through simple APIs or graphical user interfaces. Instead of developing AI models from scratch, AIaaS users can integrate pre-trained, customizable models into their applications or processes. This allows businesses to adopt AI technologies quickly and affordably, regardless of their technical capabilities. Furthermore, AIaaS provides the flexibility to scale the use of AI capabilities up or down based on business needs, offering a cost-effective way to experiment with AI, drive innovation, improve operational efficiency, and create new value for customers.

One of the key factors driving the market growth for artificial intelligence-as-a-service (AIaaS) is its scalability and flexibility. AIaaS platforms are designed to accommodate the varying needs and workloads of businesses. As organizations scale up or down their AI requirements, they can easily adjust the resources and computational power allocated by the AIaaS provider. This scalability eliminates the need for companies to invest in additional hardware or infrastructure as their AI demands grow, reducing upfront costs and operational complexities. Along with this, developing and implementing AI models requiring a high level of technical expertise, including data scientists and AI engineers is significantly supporting the market. This made AI adoption challenging and expensive for several organizations, especially small and medium-sized enterprises (SMEs) with limited resources. In addition, the rising investments in robust security measures, data encryption, and compliance frameworks to ensure the protection of their customer's data and adhere to industry regulations are positively influencing the market. As a result of these investments, AI research has made significant strides, leading to the development of more advanced algorithms, models, and AI-based solutions. AIaaS providers can leverage these cutting-edge advancements to offer state-of-the-art AI capabilities to their customers.

Artificial Intelligence-as-a-Service Market Trends/Drivers:

Advancements in Cloud Computing Infrastructure

The rapid expansion of cloud computing infrastructure has been a major market driver for Artificial Intelligence-as-a-Service (AIaaS). Cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud have invested heavily in developing robust and scalable cloud platforms that can accommodate the resource-intensive nature of AI applications. These cloud services offer vast computational power, flexible storage, and high-speed networking, enabling companies to deploy and run AI models efficiently and cost-effectively. This accessibility to powerful AI capabilities on the cloud eliminates the need for significant upfront investments in hardware and infrastructure, democratizing AI adoption across various industries and businesses. As cloud providers continually enhance their offerings and improve the availability of AI-related services, it creates a virtuous cycle, driving further adoption and innovation. Startups and enterprises alike can now harness AIaaS to accelerate research, product development, and decision-making processes, resulting in improved efficiency and productivity across their operations.

Growing Demand for AI Solutions Across Industries

The increasing demand for AI solutions across various industries is another critical market driver for AIaaS. Along with this, companies are actively seeking ways to leverage AI technologies to gain a competitive advantage, enhance customer experiences, optimize operations, and drive innovation. AIaaS provides a viable solution by offering accessible, scalable, and cost-effective AI capabilities without requiring organizations to build and maintain in-house AI expertise. In addition, industries such as healthcare, finance, retail, manufacturing, and logistics are embracing AIaaS to streamline processes, extract insights from vast datasets, and improve decision-making. For example, AI-driven predictive analytics are used in healthcare to identify patient outcomes and optimize treatment plans, while in retail, AI-powered recommendation systems enhance personalized shopping experiences. Moreover, the demand for AIaaS solutions is growing as businesses recognize the potential of AI in solving complex problems and extracting valuable insights from big data.

The Proliferation of AI Startups and Innovations

The proliferation of AI startups and innovations has significantly contributed to the growth of AIaaS. With AI becoming a transformative technology, startups are emerging to address niche industry challenges and create disruptive solutions. Several startups focus on delivering AIaaS platforms that cater to specific use cases or industries, providing specialized AI functionalities and services. These startups often leverage the resources of established cloud providers to build and deploy their AI models, making it easier for them to enter the market and compete with larger players. Moreover, the continuous influx of fresh ideas and novel AI applications stimulates healthy competition and fosters innovation in the AIaaS market.

Artificial Intelligence-as-a-Service Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence-as-a-service market report, along with forecasts at the global, regional and country levels from 2024-2032. Our report has categorized the market based on technology, organizations size and vertical.

Breakup by Technology:

Machine Learning (ML) and Deep Learning

Natural Language Processing (NLP)

Machine learning (ML) and deep learning dominate the market

The report has provided a detailed breakup and analysis of the market based on the technology. This includes machine learning (ML) and deep learning and natural language processing (NLP). According to the report, machine learning (ML) and deep learning products represented the largest segment.

The artificial intelligence-as-a-service (AIaaS) industry is witnessing substantial growth driven by the increasing demand for machine learning (ML) and deep learning, as well as natural language processing (NLP) capabilities. ML and deep learning technologies have become fundamental tools for organizations seeking data-driven insights, predictive analytics, and pattern recognition across various domains. NLP has revolutionized how machines interpret and generate human language, enabling advanced chatbots, sentiment analysis, and language translation services. As businesses recognize the potential of these AI technologies to transform their operations, AIaaS providers are offering scalable and accessible solutions that cater to the specific ML, deep learning, and NLP needs of diverse industries. This trend is fostering innovation, lowering barriers to entry, and empowering organizations to harness the power of AI in an efficient and cost-effective manner, propelling the AIaaS market to new heights.

Breakup by Organizations Size:

Large Enterprises

Small and Medium-sized Enterprises (SMEs)

Large enterprises dominate the market

A detailed breakup and analysis of the market based on the organization size has also been provided in the report. This includes large enterprises, and small and medium-sized enterprises (SMEs). According to the report, the large enterprises represented the largest segment.

The artificial intelligence-as-a-service (AIaaS) industry is experiencing significant growth, driven in part by the increasing adoption of AI technologies among Large Enterprises. Large organizations are recognizing the transformative potential of AI in improving operational efficiency, enhancing customer experiences, and gaining a competitive edge. However, implementing and maintaining AI infrastructure in-house can be resource-intensive and complex. AIaaS providers offer a compelling solution, allowing large enterprises to access cutting-edge AI capabilities without the need for substantial upfront investments in hardware, software, and specialized AI talent. The scalable and flexible nature of AIaaS platforms aligns well with the diverse and evolving needs of large enterprises, enabling them to experiment with various AI solutions and efficiently integrate AI into their existing workflows. As the demand for AI-driven insights and automation continues to grow, AIaaS platforms catering to large enterprises are poised to play a pivotal role in shaping the future of the AI industry.

Breakup by Vertical:

Banking, Financial, and Insurance (BFSI)

Healthcare and Life Sciences

Retail

Telecommunications

Government and Defense

Manufacturing

Energy

Others

Banking, financial, and insurance (BFSI) dominate the market

The report has provided a detailed breakup and analysis of the market based on the vertical. This includes banking, financial, and insurance (BFSI), healthcare and life sciences, retail, telecommunications, government and defense, manufacturing, energy, and others. According to the report, banking, financial, and insurance (BFSI) products represented the largest segment.

The artificial intelligence-as-a-service (AIaaS) industry is witnessing substantial growth, propelled by the robust demand from the banking, financial, and insurance (BFSI) vertical across the globe. Also, in this highly data-intensive industry, artificial intelligence technologies offer immense potential for driving operational efficiencies, enhancing risk management, and improving customer experiences. Moreover, AI-powered solutions, such as predictive analytics, fraud detection, and personalized financial recommendations enable BFSI companies to make data-driven decisions in order to stay ahead in a fiercely competitive landscape. Additionally, AIaaS platforms provide scalable and cost-effective access to sophisticated AI capabilities, reducing the need for large upfront investments in AI infrastructure. As regulatory compliance and data security are paramount in the BFSI sector, reputable AIaaS providers offer robust security measures and ensure compliance with industry regulations.

Breakup by Region:

North America

United States

Canada

Asia-Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America exhibits a clear dominance, accounting for the largest artificial intelligence-as-a-service market share

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

The artificial intelligence-as-a-service (AIaaS) industry in North America is being driven by the region boasting a robust technology infrastructure, including advanced cloud computing capabilities, which provides a solid foundation for AIaaS platforms to deliver scalable and high-performance AI solutions. Along with this, North American businesses, across diverse industries, are increasingly recognizing the potential of AI to transform their operations, optimize processes, and gain a competitive edge. As a result, there is a growing demand for accessibility and cost-effectiveness. In addition, the presence of numerous AI startups and tech giants in the region fosters innovation, pushing the boundaries of AI capabilities and driving the development of cutting-edge AIaaS offerings. Additionally, North America has been a hub for AI research and development, attracting significant investments in AI projects, which, in turn, fuel the growth of AIaaS.

Competitive Landscape:

The global artificial intelligence-as-a-service market is experiencing significant growth due to rising investments in research and development to create advanced AI algorithms and models. These models are designed to perform tasks such as natural language processing, image recognition, sentiment analysis, predictive analytics, and more. Along with this, AIaaS providers are building pre-trained AI models that can be readily deployed and utilized by customers without the need for extensive AI expertise. These pre-built models cover a wide range of use cases, enabling businesses to integrate AI functionalities into their applications and processes quickly. In addition, AIaaS companies are providing Application Programming Interfaces (APIs) and Software Development Kits (SDKs) that allow developers to easily integrate AI functionalities into their applications, websites, and products, further impacting the market. Moreover, the introduction of customization options, allowing businesses to tailor AI models according to their specific needs is creating a positive market outlook.

The report has provided a comprehensive analysis of the competitive landscape in the global artificial intelligence-as-a-service market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Amazon Web Services Inc. (Amazon.com Inc.)

Arm Limited (SoftBank Group Corp.)

DataRobot Inc.

FICO

Intel Corporation

International Business Machines Corporation

Microsoft Corporation

Nividia Corporation

Oracle Corporation

Salesforce Inc.

SAP SE

SAS Institute Inc.

Recent Developments:

In June 2023, Salesforce Inc. announced Einstein AI-Based data cloud, an all-encompassing subscription service that can be used by line-of-business personnel, data scientists, and corporate IT employees.

In Jan 2023, Microsoft Corporation released a statement saying that it is expanding its long-standing collaboration with OpenAI through a new "multiyear, multibillion-dollar investment.

In July 2022, International Business Machines Corporation declared that it has purchased Databand, a start-up building an observability platform for data and machine learning pipelines.

Key Questions Answered in This Report

  • 1. What was the size of the global artificial intelligence-as-a-service market in 2023?
  • 2. What is the expected growth rate of the global artificial intelligence-as-a-service market during 2024-2032?
  • 3. What are the key factors driving the global artificial intelligence-as-a-service market?
  • 4. What has been the impact of COVID-19 on the global artificial intelligence-as-a-service market?
  • 5. What is the breakup of the global artificial intelligence-as-a-service market based on the technology?
  • 6. What is the breakup of the global artificial intelligence-as-a-service market based on the organizations size?
  • 7. What is the breakup of the global artificial intelligence-as-a-service market based on the vertical?
  • 8. What are the key regions in the global artificial intelligence-as-a-service market?
  • 9. Who are the key players/companies in the global artificial intelligence-as-a-service market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Artificial Intelligence-as-a-Service Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Technology

  • 6.1 Machine Learning (ML) and Deep Learning
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Natural Language Processing (NLP)
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Organizations Size

  • 7.1 Large Enterprises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Small and Medium-sized Enterprises (SMEs)
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Vertical

  • 8.1 Banking, Financial, and Insurance (BFSI)
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Healthcare and Life Sciences
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Retail
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Telecommunications
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Government and Defense
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 Manufacturing
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast
  • 8.7 Energy
    • 8.7.1 Market Trends
    • 8.7.2 Market Forecast
  • 8.8 Others
    • 8.8.1 Market Trends
    • 8.8.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 United States
      • 9.1.1.1 Market Trends
      • 9.1.1.2 Market Forecast
    • 9.1.2 Canada
      • 9.1.2.1 Market Trends
      • 9.1.2.2 Market Forecast
  • 9.2 Asia-Pacific
    • 9.2.1 China
      • 9.2.1.1 Market Trends
      • 9.2.1.2 Market Forecast
    • 9.2.2 Japan
      • 9.2.2.1 Market Trends
      • 9.2.2.2 Market Forecast
    • 9.2.3 India
      • 9.2.3.1 Market Trends
      • 9.2.3.2 Market Forecast
    • 9.2.4 South Korea
      • 9.2.4.1 Market Trends
      • 9.2.4.2 Market Forecast
    • 9.2.5 Australia
      • 9.2.5.1 Market Trends
      • 9.2.5.2 Market Forecast
    • 9.2.6 Indonesia
      • 9.2.6.1 Market Trends
      • 9.2.6.2 Market Forecast
    • 9.2.7 Others
      • 9.2.7.1 Market Trends
      • 9.2.7.2 Market Forecast
  • 9.3 Europe
    • 9.3.1 Germany
      • 9.3.1.1 Market Trends
      • 9.3.1.2 Market Forecast
    • 9.3.2 France
      • 9.3.2.1 Market Trends
      • 9.3.2.2 Market Forecast
    • 9.3.3 United Kingdom
      • 9.3.3.1 Market Trends
      • 9.3.3.2 Market Forecast
    • 9.3.4 Italy
      • 9.3.4.1 Market Trends
      • 9.3.4.2 Market Forecast
    • 9.3.5 Spain
      • 9.3.5.1 Market Trends
      • 9.3.5.2 Market Forecast
    • 9.3.6 Russia
      • 9.3.6.1 Market Trends
      • 9.3.6.2 Market Forecast
    • 9.3.7 Others
      • 9.3.7.1 Market Trends
      • 9.3.7.2 Market Forecast
  • 9.4 Latin America
    • 9.4.1 Brazil
      • 9.4.1.1 Market Trends
      • 9.4.1.2 Market Forecast
    • 9.4.2 Mexico
      • 9.4.2.1 Market Trends
      • 9.4.2.2 Market Forecast
    • 9.4.3 Others
      • 9.4.3.1 Market Trends
      • 9.4.3.2 Market Forecast
  • 9.5 Middle East and Africa
    • 9.5.1 Market Trends
    • 9.5.2 Market Breakup by Country
    • 9.5.3 Market Forecast

10 SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

  • 14.1 Market Structure
  • 14.2 Key Players
  • 14.3 Profiles of Key Players
    • 14.3.1 Amazon Web Services Inc. (Amazon.com Inc.)
      • 14.3.1.1 Company Overview
      • 14.3.1.2 Product Portfolio
    • 14.3.2 Arm Limited (SoftBank Group Corp.)
      • 14.3.2.1 Company Overview
      • 14.3.2.2 Product Portfolio
    • 14.3.3 DataRobot Inc.
      • 14.3.3.1 Company Overview
      • 14.3.3.2 Product Portfolio
    • 14.3.4 FICO
      • 14.3.4.1 Company Overview
      • 14.3.4.2 Product Portfolio
    • 14.3.5 Intel Corporation
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
    • 14.3.6 International Business Machines Corporation
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
    • 14.3.7 Microsoft Corporation
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
    • 14.3.8 Nividia Corporation
      • 14.3.8.1 Company Overview
      • 14.3.8.2 Product Portfolio
    • 14.3.9 Oracle Corporation
      • 14.3.9.1 Company Overview
      • 14.3.9.2 Product Portfolio
    • 14.3.10 Salesforce Inc.
      • 14.3.10.1 Company Overview
      • 14.3.10.2 Product Portfolio
    • 14.3.11 SAP SE
      • 14.3.11.1 Company Overview
      • 14.3.11.2 Product Portfolio
    • 14.3.12 SAS Institute Inc.
      • 14.3.12.1 Company Overview
      • 14.3.12.2 Product Portfolio

List of Figures

  • Figure 1: Global: Artificial Intelligence-as-a-Service Market: Major Drivers and Challenges
  • Figure 2: Global: Artificial Intelligence-as-a-Service Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Artificial Intelligence-as-a-Service Market: Breakup by Technology (in %), 2023
  • Figure 5: Global: Artificial Intelligence-as-a-Service Market: Breakup by Organizations Size (in %), 2023
  • Figure 6: Global: Artificial Intelligence-as-a-Service Market: Breakup by Vertical (in %), 2023
  • Figure 7: Global: Artificial Intelligence-as-a-Service Market: Breakup by Region (in %), 2023
  • Figure 8: Global: Artificial Intelligence-as-a-Service (Machine Learning (ML) and Deep Learning) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 9: Global: Artificial Intelligence-as-a-Service (Machine Learning (ML) and Deep Learning) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 10: Global: Artificial Intelligence-as-a-Service (Natural Language Processing (NLP)) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 11: Global: Artificial Intelligence-as-a-Service (Natural Language Processing (NLP)) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 12: Global: Artificial Intelligence-as-a-Service (Large Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: Artificial Intelligence-as-a-Service (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: Artificial Intelligence-as-a-Service (Small and Medium-sized Enterprises (SMEs)) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: Artificial Intelligence-as-a-Service (Small and Medium-sized Enterprises (SMEs)) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: Artificial Intelligence-as-a-Service (Banking, Financial, and Insurance (BFSI)) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: Artificial Intelligence-as-a-Service (Banking, Financial, and Insurance (BFSI)) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: Artificial Intelligence-as-a-Service (Healthcare and Life Sciences) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: Artificial Intelligence-as-a-Service (Healthcare and Life Sciences) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: Artificial Intelligence-as-a-Service (Retail) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: Artificial Intelligence-as-a-Service (Retail) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: Artificial Intelligence-as-a-Service (Telecommunications) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: Artificial Intelligence-as-a-Service (Telecommunications) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: Artificial Intelligence-as-a-Service (Government and Defense) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: Artificial Intelligence-as-a-Service (Government and Defense) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: Global: Artificial Intelligence-as-a-Service (Manufacturing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: Global: Artificial Intelligence-as-a-Service (Manufacturing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: Global: Artificial Intelligence-as-a-Service (Energy) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: Global: Artificial Intelligence-as-a-Service (Energy) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: Global: Artificial Intelligence-as-a-Service (Other Verticals) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: Global: Artificial Intelligence-as-a-Service (Other Verticals) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: North America: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: North America: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: United States: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: United States: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: Canada: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: Canada: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: Asia-Pacific: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: Asia-Pacific: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: China: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 22018 & 2023
  • Figure 41: China: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: Japan: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: Japan: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: India: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: India: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: South Korea: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: South Korea: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: Australia: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: Australia: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: Indonesia: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: Indonesia: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: Others: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: Others: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: Europe: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: Europe: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: Germany: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: Germany: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 58: France: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 59: France: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 60: United Kingdom: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 61: United Kingdom: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 62: Italy: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 63: Italy: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 64: Spain: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 65: Spain: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 66: Russia: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 67: Russia: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 68: Others: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 69: Others: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 70: Latin America: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 71: Latin America: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: Brazil: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 73: Brazil: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 74: Mexico: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 75: Mexico: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 76: Others: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 77: Others: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 78: Middle East and Africa: Artificial Intelligence-as-a-Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 79: Middle East and Africa: Artificial Intelligence-as-a-Service Market: Breakup by Country (in %), 2023
  • Figure 80: Middle East and Africa: Artificial Intelligence-as-a-Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 81: Global: Artificial Intelligence-as-a-Service Industry: SWOT Analysis
  • Figure 82: Global: Artificial Intelligence-as-a-Service Industry: Value Chain Analysis
  • Figure 83: Global: Artificial Intelligence-as-a-Service Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Artificial Intelligence-as-a-Service Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Artificial Intelligence-as-a-Service Market Forecast: Breakup by Technology (in Million US$), 2024-2032
  • Table 3: Global: Artificial Intelligence-as-a-Service Market Forecast: Breakup by Organizations Size (in Million US$), 2024-2032Table 4: Global: Artificial Intelligence-as-a-Service Market Forecast: Breakup by Vertical (in Million US$), 2024-2032
  • Table 5: Global: Artificial Intelligence-as-a-Service Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 6: Global: Artificial Intelligence-as-a-Service Market: Competitive Structure
  • Table 7: Global: Artificial Intelligence-as-a-Service Market: Key Players