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市场调查报告书
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1444945

AIaaS（人工智慧即服务）：市场占有率分析、产业趋势与统计、成长预测（2024-2029）

AI-as-a-Service - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

AIaaS（人工智慧即服务）的市场规模预计到 2024 年为 150.9 亿美元，在预测期内（2024-2029 年）预计到 2029 年将达到 722.2 亿美元，复合年增长率为 36.78 %）。

AIaaS（人工智慧即服务）- 市场

随着公司数量和竞争的增加，公司正在努力将人工智慧 (AI) 技术整合到其应用程式、业务、分析和服务中。此外，公司正在寻求降低营运成本以提高报酬率。因此，AIaaS（AI-as-a-Service）在云端上越来越受到关注。值得注意的是，公司对云端基础的机器学习越来越感兴趣，以帮助试验他们的产品。

主要亮点

  • 由于多重云端能力的成长趋势以及云端基础的智慧服务的需求不断增长，对人工智慧即服务（AIaaS）的需求也在不断增加。据IBM称，到2021年，98%的组织计划采用多重云端架构，41%的组织将制定多重云端管理策略，并提供操作多重云端环境的程序和工具。只有38%的组织计划采用多云架构。这为人工智慧服务创造了巨大的机会。
  • 此外，IBM 2022 年人工智慧采用指数指出，“人工智慧 (AI) 的使用及其对商业和社会的影响已达到临界点。全球人工智慧采用率大幅上升，达到 35%；增幅为 4%。”之前的积分。”人工智慧的使用在多个行业和国家已接近普遍，并且由于新的自动化功能、改进的可用性和可访问性以及更全面的试验功能，世界各地的组织越来越多地使用人工智慧。我们正在迅速获得新的好处和效率人工智慧。虚拟助理和 IT 等现成的企业解决方案将人工智慧纳入业务中。 44% 的公司正在努力将人工智慧整合到他们目前的应用程式和流程中，这一事实支持了可访问性很重要的论点。
  • 许多政府机构，特别是新兴经济体的政府机构，也意识到人工智慧的好处和力量。因此，我们正在广泛推动人工智慧基础设施的发展。例如，印度的Niti Aayog推出了一项国家人工智慧计划，包括研发，并增加了对数位印度的预算拨款，以推广人工智慧、机器学习、3D列印和其他技术。
  • 对人工智慧服务的需求不断增加，许多云端供应商都提供 AIaaS 和 MLaaS。因此，2020年全球医疗保健产业云端市场录得显着成长。 AI 和 ML 技术被大量用于对抗 COVID-19 疾病。例如，一些研究人员正在使用机器学习来创建智慧监控系统来追踪和检测疑似感染疾病了 COVID-19 的人。提案的系统之一是一个新框架，它整合了机器学习、云、雾和物联网 (IoT) 技术，以创建 COVID-19感染疾病监测和预后系统。
  • O'Reilly 的《2021 年企业人工智慧采用报告》对3,500 多名企业领导者进行了调查，发现缺乏熟练人才和招聘困难是人工智慧面临的最大挑战，19% 的受访者将其列为“重大」障碍。 O'Reilly 的报告表明，人工智慧采用的第二大障碍是缺乏高品质资料，18% 的受访者表示他们的组织没有认识到高品质资料的重要性。我回答说我已经开始了。

AIaaS（人工智慧即服务）市场趋势

对预测和分析解决方案的需求不断增长预计将推动市场成长

  • 对预测和分析解决方案不断增长的需求预计将推动 AIaaS（人工智慧即服务）市场。 AIaaS是指将人工智慧（AI）运算和分析功能外包给透过互联网提供AI解决方案和工具的第三方服务供应商。
  • 人工智慧技术的进步使各行业的公司认识到将人工智慧整合到其业务中的潜在好处。人工智慧有助于提高效率、改善客户体验并做出资料主导的决策。然而，实施人工智慧基础设施和内部开发人工智慧模型可能需要时间和精力。 AIaaS 透过提供预先建置的 AI 解决方案和平台，提供了经济高效且便利的替代方案。
  • AIaaS平台提供扩充性和弹性，让企业可以根据自己的需求存取AI资源。随着对预测和分析解决方案的需求增加，企业可以利用 AIaaS 服务轻鬆扩展其 AI 能力。这种弹性使组织能够适应不断变化的业务需求，而无需在基础设施或专业知识上进行大量的前期投资。
  • 借助 AIaaS，企业不再需要投资昂贵的硬体、软体或人工智慧专业知识。 AIaaS 解决方案可让企业以订阅或付费使用制存取 AI 功能，从而降低前期成本，并使 AI 更容易被更广泛的组织使用。这种成本效率特别有利。
  • 在医疗保健领域实施预测分析需要强大的人工智慧功能、运算能力和专业知识。 AIaaS 平台为医疗保健组织提供了存取人工智慧和预测分析工具的便利性和可访问性，而无需大量前期投资。随着医疗保健提供者和付款人越来越认识到预测分析的价值，医疗保健产业对 AIaaS 解决方案的需求预计将增加并推动整个 AIaaS 市场。飞利浦表示，截至去年两个月，新加坡接受调查的医疗保健领导者中有 92% 表示已经或正在其医疗保健组织中实施预测分析，其采用率是所有国家中最高的。中国以 79% 的采用率排名第二，其次是巴西和美国，采用率为 66%。

预计北美将占据重要市场占有率

  • 北美人工智慧即服务 (AIaaS) 市场是 AIaaS 解决方案的最大市场之一。北美拥有硅谷等主要技术中心，促进创新并推动技术进步。该地区拥有强大的基础设施和高技能的劳动力，有利于人工智慧技术的开发和部署。该技术生态系统为 AIaaS 供应商提供解决方案和服务创造了有利的环境。
  • 美国拥有强大的创新生态系统，由联邦政府对先进技术的战略投资支持，吸引了来自世界各地有远见的科学家和企业家，以及北美地区人工智慧的发展，并辅以知名研究机构的存在推动了它。
  • 根据人工智慧国家安全委员会的报告，其最终报告提案国会每年将人工智慧的联邦研发资金增加一倍，在 2026 财年达到 320 亿美元。根据拜登政府的2023财年预算提案，联邦研发预算预计将比2021财年授权水准增加28%，达到超过2,040亿美元。国家人工智慧研究机构，无论是新成立的还是已成立的，都将获得这些资金的一部分。这些机构将商业部门、组织、学术界以及联邦、州和地方政府当局聚集在一起，共同应对人工智慧研究和劳动力发展的挑战。政府的此类人工智慧发展措施将推动市场。
  • 北美地区是蓬勃发展的人工智慧产业的发源地，拥有许多专注于推动人工智慧技术的新兴企业、科技巨头和研究机构。该生态系统促进创新并推动对 AIaaS 解决方案的需求。医疗、金融、零售、製造业等行业的企业正积极采用人工智慧技术来提高竞争力，进一步加速北美AIaaS市场的成长。
  • 北美的许多组织正在进行数位转型工作，以利用人工智慧技术来增强业务、优化流程并从资料中获取洞察。 AIaaS 在这些努力中发挥关键作用，为企业提供了一种可扩展且经济高效的方式来存取 AI 功能，而无需对基础设施或专业知识进行大量前期投资。企业保持竞争力的需求将推动对 AIaaS 解决方案的需求。

AIaaS（人工智慧即服务）产业概述

AIaaS（人工智慧即服务）市场高度分散，主要企业包括微软公司、Google有限责任公司、亚马逊网路服务公司、IBM公司和BigML公司。合作伙伴和收购等策略旨在增强产品供应并获得永续的竞争优势。

2022年7月，IBM宣布收购Databand.ai。 Databand.ai 是资料可观测性软体的领先供应商，可协助组织在错误、管道故障和品质差等资料问题影响收益之前解决这些问题。透过此次发布，IBM 的软体产品组合扩展到资料、人工智慧和自动化领域，涵盖了全方位的可观察性。这使组织能够确保可信任资料在正确的时间掌握在正确的个人手中。

2022 年 6 月，亚马逊推出了 Code Whisperer，这是一项利用机器学习为软体开发人员产生程式码提案的新服务。这是该公司云端产品的第一个补充。该工具目前处于预览阶段，旨在帮助程式设计师编写可以更快地为人工智慧计划建立训练资料集的程式码。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 消费者议价能力
    • 新进入者的威胁
    • 竞争公司之间的敌意强度
    • 替代产品的威胁
  • 产业价值链分析
  • 评估 COVID-19 对产业的影响

第五章市场动态

  • 市场驱动因素
    • 对预测和分析解决方案的需求不断增长
    • 改善消费者体验的需求不断增长
  • 市场挑战
    • 与资料外洩和骇客攻击相关的风险

第六章市场区隔

  • 按配置
    • 民众
    • 私人的
    • 混合
  • 按组织规模
    • 中小企业
    • 大公司
  • 按最终用户产业
    • BFSI
    • 零售
    • 卫生保健
    • 资讯科技和电信
    • 製造业
    • 活力
    • 其他最终用户产业
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲

第七章 竞争形势

  • 公司简介
    • Microsoft Corporation
    • Google LLC
    • Amazon Web Services, Inc.
    • IBM Corporation
    • BigML Inc
    • DATAIKU SAS
    • Salesforce.com Inc.
    • SAS Institute Inc
    • Oracle Corporation
    • H2O.Ai Inc
    • Craft.AI

第八章投资分析

第九章市场机会与未来趋势

简介目录
Product Code: 65421

The AI-as-a-Service Market size is estimated at USD 15.09 billion in 2024, and is expected to reach USD 72.22 billion by 2029, growing at a CAGR of 36.78% during the forecast period (2024-2029).

AI-as-a-Service - Market

With the increasing number of enterprises and competition, companies are rigorously trying to integrate artificial intelligence (AI) technology into their application, business, analytics, and services. Moreover, companies are trying to reduce their operational cost to increase profit margins, due to which Artificial Intelligence-as-a-Service (AIaaS) is gaining more prominence over the cloud. Notably, companies are more interested in cloud-based machine learning, which helps in experimenting with their offerings.

Key Highlights

  • The rising trend of multi-cloud functioning and the growing need for cloud-based intelligence services are also increasing the demand for AI as a service. According to IBM, by 2021, 98% of the organization's plans will adopt multi-cloud architectures, with only 41% having a multi-cloud management strategy and just 38% having procedures and tools to operate a multi-cloud environment. This creates a massive opportunity for AI services.
  • Furthermore, the IBM AI adoption index 2022 states, " A tipping point has been reached in using artificial intelligence (AI) and its effects on businesses and society. The adoption rate of AI globally increased significantly and is at 35%, up four points from the previous year. And the usage of AI is nearly universal in several sectors and nations. Organizations worldwide are quickly gaining new advantages and efficiencies from AI thanks to new automation capabilities, improved usability and accessibility, and a more comprehensive range of tried-and-true use cases. Virtual assistants and other ready-made corporate solutions like IT incorporate AI into their operations. The fact that 44% of firms are working to integrate AI into current apps and processes supports the argument that accessibility is important.
  • Many government organizations, especially in emerging economies, also understand the benefits and power of AI; hence, they are extensively promoting AI-based infrastructure development. For instance, Niti Aayog in India launched a national program on AI, including R&D, with increased budget allocation for Digital India to promote AI, machine learning, 3D printing, and other technologies.
  • The need for AI services has grown, and many cloud providers offer AIaaS and MLaaS. As a result, the global cloud market recorded significant growth in the healthcare segment in 2020. AI and ML technology is being used considerably to fight COVID-19. For instance, several researchers are using machine learning to create a smart monitoring system that tracks and detects suspected COVID-19 infected persons. One proposed system is a new framework integrating machine learning, cloud, fog, and Internet of Things (IoT) technologies to create a COVID-19 disease monitoring and prognosis system.
  • O'Reilly's 2021 AI Adoption in the Enterprise report, which surveyed more than 3,500 business leaders, found that a lack of skilled people and difficulty hiring topped the list of challenges in AI, with 19% of respondents citing it as a "significant" barrier. The O'Reilly report suggests that the second-most significant barrier to AI adoption is a lack of quality data, with 18% of respondents saying their organization is only beginning to realize the importance of high-quality data.

Artificial Intelligence as a Service (AIaaS) Market Trends

Increasing Demand for Predictive and Analytics Solutions is Expected to Drive Market Growth

  • The increasing demand for predictive and analytics solutions would drive the artificial intelligence-as-a-service (AIaaS) market. AIaaS refers to outsourcing artificial intelligence (AI) computational and analytical capabilities to third-party service providers offering AI solutions and tools over the Internet.
  • With advancements in AI technology, businesses across various industries recognize the potential benefits of integrating AI into their operations. AI can help improve efficiency, enhance customer experiences, and make data-driven decisions. However, implementing AI infrastructure and developing AI models in-house can take time and effort. AIaaS provides a cost-effective and convenient alternative by offering pre-built AI solutions and platforms.
  • AIaaS platforms offer scalability and flexibility, allowing businesses to access AI resources according to their requirements. As the demand for predictive and analytics solutions grows, companies can easily scale up their AI capabilities by leveraging AIaaS services. This flexibility enables organizations to adapt to changing business needs without significant upfront investments in infrastructure and expertise.
  • AIaaS eliminates the need for businesses to invest in expensive hardware, software, and specialized AI expertise. By leveraging AIaaS solutions, companies can access AI capabilities on a subscription or pay-per-use basis, reducing upfront costs and making AI more accessible to a broader range of organizations. This cost efficiency is particularly beneficial.
  • Adopting predictive analytics in healthcare requires robust AI capabilities, computational power, and expertise. AIaaS platforms offer healthcare organizations the convenience and accessibility of accessing AI and predictive analytics tools without significant upfront investments. As healthcare providers and payers increasingly recognize the value of predictive analytics, the demand for AIaaS solutions in the healthcare sector is expected to grow, driving the overall AIaaS market. According to Philips, as of the second month of the previous year, 92 percent of healthcare leaders surveyed in Singapore reported that they had either implemented or were implementing predictive analytics in their healthcare organization, the highest adoption rate among all countries examined. China stood second with a 79 percent adoption rate, followed by Brazil and the United States with 66 percent.

North America is Expected to Hold Significant Market Share

  • The North American Artificial Intelligence-as-a-Service (AIaaS) market is one of the largest markets for AIaaS solutions. North America is home to major technology hubs, such as Silicon Valley, which foster innovation and drive technological advancements. The region has a robust infrastructure and a highly skilled workforce, enabling the development and deployment of AI technologies. This technological ecosystem creates a favorable environment for AIaaS providers to offer solutions and services.
  • The United States has a robust innovation ecosystem fueled by strategic federal investments in advanced technology, complemented by the presence of visionary scientists and entrepreneurs coming together from across the world and renowned research institutions, which have propelled the development of AI in the North American region.
  • According to the National Security Commission on Artificial Intelligence, its final report proposed that Congress increase federal R&D funding for AI by a factor of two annually, up to a total of USD 32 billion in fiscal 2026. The federal R&D budget was expected to be increased by 28% from FY 2021 authorized levels to more than USD 204 billion under the Biden administration's fiscal 2023 budget plan. The National AI Research Institutes, both new and established, would get some of those funds. To address the difficulties of AI research and workforce development, these institutes bring together the commercial sector, organizations, academics, and federal, state, and municipal authorities. Such government initiatives for the development of AI will drive the market.
  • The North American region has a thriving AI industry with numerous startups, technology giants, and research institutions focused on advancing AI technologies. This ecosystem fosters innovation and drives demand for AIaaS solutions. Companies in sectors like healthcare, finance, retail, and manufacturing are actively adopting AI technologies to gain a competitive edge, further fueling the growth of the AIaaS market in North America.
  • Many organizations in North America are undergoing digital transformation initiatives, aiming to leverage AI technologies to enhance their operations, optimize processes, and gain insights from their data. AIaaS plays a crucial role in these initiatives, providing businesses with a scalable and cost-effective way to access AI capabilities without significant upfront investments in infrastructure and expertise-the need for businesses to remain competitive drives the demand for AIaaS solutions.

Artificial Intelligence as a Service (AIaaS) Industry Overview

The artificial intelligence-as-a-service (AIaaS) market is highly fragmented, with the presence of major players like Microsoft Corporation, Google LLC, Amazon Web Services, Inc., IBM Corporation, and BigML Inc. Players in the market are adopting strategies such as partnerships and acquisitions to enhance their product offerings and gain a sustainable competitive advantage.

In July 2022, IBM announced the acquisition of Databand.ai, a major provider of data observability software that assisted organizations in resolving data issues such as mistakes, pipeline failures, and low quality before they influenced their bottom line. The announcement expanded IBM's software portfolio across data, AI, and automation to cover the whole spectrum of observability. It assisted organizations in ensuring that trustworthy data was in the hands of the appropriate individuals at the right time.

In June 2022, Amazon launched "Code Whisperer,' a new service that used machine learning to generate code suggestions for software developers. It is the first addition to its cloud offering. This tool, currently in preview, is intended to help programmers write code faster and build training datasets for their artificial intelligence projects.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Consumers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Intensity of Competitive Rivalry
    • 4.2.5 Threat of Substitute Products
  • 4.3 Industry Value Chain Analysis
  • 4.4 Assessment of Impact of COVID-19 on the Industry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Increasing Demand for Predictive and Analytics Solutions
    • 5.1.2 Rising Demand for Enhancing Consumer Experience
  • 5.2 Market Challenges
    • 5.2.1 Risks Associated with Data Breaches and Hacks

6 MARKET SEGMENTATION

  • 6.1 By Deployment
    • 6.1.1 Public
    • 6.1.2 Private
    • 6.1.3 Hybrid
  • 6.2 By Organization Size
    • 6.2.1 Small and Medium Enterprise
    • 6.2.2 Large Enterprise
  • 6.3 By End-user Industry
    • 6.3.1 BFSI
    • 6.3.2 Retail
    • 6.3.3 Healthcare
    • 6.3.4 IT and Telecom
    • 6.3.5 Manufacturing
    • 6.3.6 Energy
    • 6.3.7 Other End-user Industries
  • 6.4 By Geography
    • 6.4.1 North America
    • 6.4.2 Europe
    • 6.4.3 Asia-Pacific
    • 6.4.4 Latin America
    • 6.4.5 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Microsoft Corporation
    • 7.1.2 Google LLC
    • 7.1.3 Amazon Web Services, Inc.
    • 7.1.4 IBM Corporation
    • 7.1.5 BigML Inc
    • 7.1.6 DATAIKU SAS
    • 7.1.7 Salesforce.com Inc.
    • 7.1.8 SAS Institute Inc
    • 7.1.9 Oracle Corporation
    • 7.1.10 H2O.Ai Inc
    • 7.1.11 Craft.AI

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS