人工智慧即服务市场 - 按技术（机器学习、电脑视觉、自然语言处理等）、按云端类型、按企业规模、按产品、按最终用户和预测，2024 年至 2032 年

在产业领导者不断推出产品和不断进步的推动下，2024 年至 2032 年间，全球人工智慧即服务市场的CAGR将超过 33%。随着领先公司不断创新并推出新的 AIaaS 解决方案，各行业的企业都在寻求利用这些尖端技术来提高效率、生产力和决策流程。

例如，2024 年 1 月，Oracle 宣布推出 Oracle 云端基础架构产生式 AI 服务，以及新的增强功能，以促进企业采用生成式 AI 的最新进展。 OCI 生成式人工智慧服务整合了 Meta Llama 2 和 Cohere 的法学硕士，是一个完全託管的解决方案，可满足各种业务需求。

这些进步专注于提供可扩展和可客製化的 AI 解决方案，满足企业不断变化的需求，推动对 AIaaS 产品的需求并推动市场成长。

整体人工智慧即服务市场份额根据技术、产品和地区进行分类。

从 2024 年到 2032 年，电脑视觉领域将经历重大发展。不同行业的企业都部署 AIaaS 解决方案，其中包含用于物件侦测、影像辨识和视讯分析等任务的电脑视觉功能。这项需求是由自动化、提高营运效率和增强客户体验的需求所驱动的。随着电脑视觉继续为各个行业带来革命性的变化，对整合该技术的 AIaaS 产品的需求仍然强劲，从而推动了市场的成长。

平台即服务领域的人工智慧即服务市场规模将在 2024 年至 2032 年实现显着的CAGR。PaaS 解决方案为企业提供可存取且可扩展的平台来开发、部署和管理人工智慧应用程式，而无需大量基础设施投资。这种便利性和灵活性吸引了寻求利用人工智慧功能而无需复杂的内部开发的组织。随着 PaaS 不断推动人工智慧应用的民主化，与这些平台整合的 AIaaS 解决方案的需求不断增加，从而推动了市场扩张。

欧洲人工智慧即服务业将在2024年至2032年呈现出值得称讚的CAGR。随着人工智慧研发投资的增加，欧洲企业正在拥抱AIaaS以提高营运效率并获得竞争优势。此外，有关资料隐私和安全的严格法规鼓励组织采用符合欧盟标准的 AIaaS 产品。

随着不同产业的企业认识到人工智慧的变革潜力，欧洲对 AIaaS 的需求持续成长，促进了市场成长和创新。例如，2023 年9 月，全球安永组织(EY) 推出了EY.ai，这是一个将人类专业知识与人工智慧(AI) 相结合的综合平台，旨在透过负责任的人工智慧采用来促进客户的业务转型。 EY.ai 利用先进的安永技术平台和人工智慧能力，并以策略、交易、转型、风险、鑑证和税务方面的丰富经验为支撑，所有这些都透过强大的人工智慧生态系统得到增强。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：人工智慧即服务业洞察

• 产业生态系统分析
• 供应商格局
  • 云端服务供应商
  • 人工智慧解决方案提供商
  • 企业和企业
• 利润率分析
• 技术创新格局
• 专利分析
• 重要新闻和倡议
• 监管环境
• 衝击力
  • 成长动力
    • 优化采购流程和提高效率的需求
    • 强调数据驱动的洞察来优化采购策略
    • 人工智慧系统供应链管理的激增
    • 加强供应商绩效评估与风险管理
  • 产业陷阱与挑战
    • 资料品质差和整合问题
    • 资料安全问题
• 成长潜力分析
• 波特的分析
• PESTEL分析

第 4 章：竞争格局

• 介绍
• 公司市占率
• 主要市场参与者的竞争分析
  • Amazon Web Services, Inc.
  • Salesforce, Inc.
  • IBM Corporation
  • Intel Corporation
  • Microsoft
  • BigML, Inc.
  • Google LLC
• 竞争定位矩阵
• 战略展望矩阵

第 5 章：人工智慧即服务市场估计与预测：按技术分类

• 主要动力向：靠技术
• 机器学习（ML）
• 电脑视觉
• 自然语言处理（NLP）
• 其他的

第 6 章：人工智慧即服务市场估计与预测：按云类型

• 主要动向：按云型
• 公共云端
• 混合云端
• 私有云端

第 7 章：人工智慧即服务市场估计与预测：按组织

• 主要动向：依组织规模
• 大型企业
• 中小企业

第 8 章：人工智慧即服务市场估计与预测：按产品分类

• 主要动向：透过提供
• 基础设施即服务
• 平台即服务
• 软体作为服务

第 9 章：人工智慧即服务市场估计与预测：按产业垂直产业

• 主要动向：依行业垂直
• 银行、金融和保险 (BFSI)
• 医疗保健和生命科学
• 零售
• 资讯科技与电信
• 政府和国防
• 製造业
• 能源与公用事业
• 其他的

第 10 章：人工智慧即服务市场估计与预测：按地区

• 主要动向：按地区
• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 英国
  • 德国
  • 法国
  • 义大利
  • 西班牙
  • 俄罗斯
  • 北欧人
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳新银行
  • 东南亚
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
• MEA
  • 南非
  • 沙乌地阿拉伯
  • 阿联酋

第 11 章：公司简介

• Amazon Web Services, Inc.
• Alibaba Cloud
• Baidu Cloud
• BigML, Inc.
• C3.ai
• Datarobot
• Fair Isaac Corporation
• Google LLC
• H2O.ai
• IBM Corporation
• Intel Corporation
• Iris.ai
• Microsoft
• NVIDIA
• Oracle Corporation
• Rainbird Technologies
• Salesforce, Inc.
• SAP SE
• Siemens

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

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