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市场调查报告书
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1574174

人工智慧即服务 (AIaaS) 市场 – 2024 年至 2029 年预测

Artificial Intelligence as a Service (AIaaS) Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 118 Pages | 商品交期: 最快1-2个工作天内

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简介目录

人工智慧即服务（AIaaS）市场预计将从 2024 年的 249.47 亿美元增至 2029 年的 1,684.49 亿美元，预测期内复合年增长率为 46.52%。

人工智慧即服务 (AIaaS) 被用作一种低成本、云端基础的方法，它使用人工智慧 (AI) 演算法并采用人工神经系统，无需基础设施或大量的Start-Ups操作。 AIaaS 拥有许多公司使用的各种组件，例如云端基础的传输、计量收费以及基础设施公司不受限制的多功能性，使他们能够专注于自己的核心竞争力。

AIaaS 管理包括机器学习阶段、自然语言处理管理、电脑视觉服务、AI 聊天机器人和虚拟同事。这些使机器能够理解和产生人类方言、破解视觉资料并为客户提供帮助。人工智慧领域的不断进步正在扩大其在企业和更大范围内的受欢迎程度，各大公司都将其风险扩展到研发领域。

此外，实施人工智慧的高昂初始成本阻碍了其在企业中的广泛应用。然而，AIaaS 正在透过消除建构人工智慧基础设施的需求来降低这些成本，预计将在预测期内推动市场成长。

人工智慧即服务 (AIaaS) 市场驱动因素：

  • 云端运算的日益普及预计将推动全球对人工智慧即服务（AIaaS）解决方案的需求。

预计在预测期内推动人工智慧即服务市场成长的主要因素之一是大量组织迁移到云端运算。云端处理使企业无需建立人工智慧基础设施即可利用人工智慧，从而节省金钱和时间。由于AI即服务是由第三方提供的，企业可以完全专注于其核心业务，这将导致对AIaaS的需求不断增加并支持未来的市场成长。

例如，2022 年 6 月，e&Group Limited 旗下部门 e&Enterprise 与 DataRobot 合作，为寻求加速数位转型的上市和私人公司公司推出了业界首个企业 AlaaS 解决方案。此解决方案提供了端到端云端解决方案，让您可以建置、训练、部署和管理 AI 和 ML 解决方案，而成本只是内部执行的一小部分。此外，政府机构和私人公司可以大规模部署人工智慧修復，并以最少的人工智慧专业知识实现商业价值。同样，越来越多的公司正在采用云端运算来升级其业务，预计这将推动评估期间的市场成长。

人工智慧即服务 (AIaaS) 市场的地理前景：

  • 北美地区预计将占据人工智慧即服务（AIaaS）市场的主要份额。

由于 Microsoft Corporation、Amazon Web Services、Google LLC 和 IBM Corporation 等市场领导的存在，北美地区预计将占据重要的市场占有率。此外，该地区拥有强大的行业参与者，从而促进了技术进步。因此，未来几年，AIaaS 等技术在各行业的采用可能会增加。

此外，由于对云端基础方案的投资增加以及利用 AlaaS 进行多种应用的新兴行业的兴起，美国和加拿大等北美国家预计将在预测期内出现显着增长。此外，该地区提供 AIaaS 解决方案的新兴企业数量正在增加，预计这将在预测期内推动市场成长。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖主要和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、垂直行业和其他子区隔。
  • 竞争格局：
  • 市场驱动因素与未来趋势：
  • 可行的建议：
  • 迎合广泛的受众：对于新兴企业、研究机构、顾问、中小型企业和大型企业来说有用且具有成本效益。

公司使用我们的报告的目的是什么？

产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响

调查范围

  • 2022年至2029年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、客户行为和趋势分析
  • 竞争定位、策略和市场占有率分析
  • 区域收益成长和预测分析，包括细分市场和国家
  • 公司概况（尤其是关键市场开拓）

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第 5 章 人工智慧即服务 (AIaaS) 市场：按类型

  • 介绍
  • Bots
  • APIs
  • 机器学习
  • 其他的

第六章 人工智慧即服务 (AIaaS) 市场：依公司规模

  • 介绍
  • 小的
  • 中等的
  • 大的

第 7 章：人工智慧即服务 (AIaaS) 市场：按最终用途产业

  • 介绍
  • BFSI
  • 零售
  • 资讯科技和通讯
  • 卫生保健
  • 製造业
  • 政府
  • 活力
  • 其他的

第 8 章 人工智慧即服务 (AIaaS) 市场：按地区

  • 介绍
  • 北美洲
    • 按类型
    • 按公司规模
    • 按最终用途行业
    • 按国家/地区
  • 南美洲
    • 按类型
    • 按公司规模
    • 按最终用途行业
    • 按国家/地区
  • 欧洲
    • 按类型
    • 按公司规模
    • 按最终用途行业
    • 按国家/地区
  • 中东/非洲
    • 按类型
    • 按公司规模
    • 按最终用途行业
    • 按国家/地区
  • 亚太地区
    • 按类型
    • 按公司规模
    • 按最终用途行业

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十章 公司简介

  • Amazon Web Services（AWS）
  • Microsoft Corporation
  • Google LLC
  • IBM Corporation
  • Oracle Corporation
  • BMC Software, Inc.
  • Salesforce.com, Inc.
  • BigML Inc
  • SAS Institute Inc
  • Fair Isaac Corporation
简介目录
Product Code: KSI061612188

The Artificial Intelligence as a Service (AIaaS) market is projected to witness a CAGR of 46.52% during the forecast period to reach a total market size of US$168.449 billion by 2029, up from US$24.947 billion in 2024.

Artificial Intelligence as a Service (AIaaS) is being utilized as a low-cost, cloud-based way to empower businesses to use artificial intelligence (AI) algorithms and employ artificial neural systems without requiring infrastructure or tremendous startup ventures. AIaaS has different components that numerous businesses utilize, like cloud-based conveyance, pay-as-you-go pricing, and versatility with no limitations on infrastructure companies to focus on its core capacities.

AIaaS administrations include machine learning stages, natural language processing administrations, computer vision services, AI chatbots, and virtual colleagues. They permit machines to understand and produce human dialects, decipher visual data, and assist clients. Ceaseless progressions in the field of AI, on account of major players expanding ventures into R&D, have been expanding their popularity among endeavors over businesses.

Moreover, the high initial costs of implementing AI have hindered its adoption among businesses. However, AIaaS has reduced these costs by eliminating the need to build an AI infrastructure, which is expected to drive market growth in the forecasted period.

ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET DRIVERS:

  • Growing adoption of cloud computing is expected to increase the demand for Artificial Intelligence as a Service (AIaaS) solutions globally.

One of the major factors anticipated to drive the Artificial Intelligence as a Service market's growth during the forecast period is the shift of a large number of organizations to cloud computing. Cloud computing allows companies to use artificial intelligence without the need to set up an AI infrastructure, saving them cost and time. It allows the companies to focus completely on their core business, as AI as a service is provided by third parties, which is leading to rising demand for AIaaS and propelling its market growth in the coming years.

For instance, in June 2022, e& Enterprise, a division of e& Group Limited, collaborated with DataRobot to introduce an industry-first Enterprise AlaaS solution for public and private companies looking to accelerate their digital transformation. It provides an end-to-end cloud solution that allows building, training, deployment, and managing AI & ML solutions at a fraction of the cost of in-house. Further, allowing governments and private companies to deploy AI fixes at scale and realize business value with minimal upfront AI expertise. Similarly, there are more companies are adopting cloud computing to upgrade their businesses, which is anticipated to boost the market growth during the assessment period.

Artificial Intelligence as a Service (AIaaS) Market Geographical Outlook:

  • The North American region is expected to hold a substantial Artificial Intelligence as a Service (AIaaS) market share.

The North American region is anticipated to hold a significant market share owing to the presence of market leaders such as Microsoft Corporation, Amazon Web Services, Google LLC, and IBM Corporation, among others. Further, the region has a strong industry player presence, leading to increasing technological advancements. Hence, there will be a higher tendency to adopt technologies like AIaaS for diverse industries in the coming years.

In addition, North American countries like the United States and Canada are anticipated to witness substantial growth during the forecast period due to rising investments in cloud-based solutions and an emerging sector realizing the utilization of AlaaS for multiple applications. Furthermore, the rising number of start-ups in the region providing AIaaS solutions is anticipated to propel the market growth during the forecast period.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Market Segmentation:

The Artificial Intelligence as a Service (AIaaS) market is segmented and analyzed as below:

By Type

  • Bots
  • APIs
  • Machine Learning
  • Others

By Enterprise Size

  • Small
  • Medium
  • Large

By End-Use Industry

  • BFSI
  • Retail
  • IT and Telecom
  • Healthcare
  • Manufacturing
  • Government
  • Energy
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Taiwan
  • Thailand
  • Indonesia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Bots
  • 5.3. APIs
  • 5.4. Machine Learning
  • 5.5. Others

6. ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY ENTERPRISE SIZE

  • 6.1. Introduction
  • 6.2. Small
  • 6.3. Medium
  • 6.4. Large

7. ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY END-USE INDUSTRY

  • 7.1. Introduction
  • 7.2. BFSI
  • 7.3. Retail
  • 7.4. IT and Telecom
  • 7.5. Healthcare
  • 7.6. Manufacturing
  • 7.7. Government
  • 7.8. Energy
  • 7.9. Others

8. ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Type
    • 8.2.2. By Enterprise Size
    • 8.2.3. By End-Use Industry
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Type
    • 8.3.2. By Enterprise Size
    • 8.3.3. By End-Use Industry
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Type
    • 8.4.2. By Enterprise Size
    • 8.4.3. By End-Use Industry
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. France
      • 8.4.4.3. United Kingdom
      • 8.4.4.4. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Type
    • 8.5.2. By Enterprise Size
    • 8.5.3. By End-Use Industry
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Type
    • 8.6.2. By Enterprise Size
    • 8.6.3. By End-Use Industry
      • 8.6.3.1. China
      • 8.6.3.2. India
      • 8.6.3.3. Japan
      • 8.6.3.4. South Korea
      • 8.6.3.5. Taiwan
      • 8.6.3.6. Thailand
      • 8.6.3.7. Indonesia
      • 8.6.3.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Amazon Web Services (AWS)
  • 10.2. Microsoft Corporation
  • 10.3. Google LLC
  • 10.4. IBM Corporation
  • 10.5. Oracle Corporation
  • 10.6. BMC Software, Inc.
  • 10.7. Salesforce.com, Inc.
  • 10.8. BigML Inc
  • 10.9. SAS Institute Inc
  • 10.10. Fair Isaac Corporation