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市場調查報告書

商品編碼

1642016

AIaaS（人工智慧即服務）：市場佔有率分析、行業趨勢和統計、成長預測（2025-2030 年）

AI-as-a-Service - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)

出版日期: 2025年01月05日 | 出版商:

Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2025 年 AIaaS（人工智慧即服務）市場規模預估為 206.4 億美元，預計到 2030 年將達到 988.2 億美元，預測期內（2025-2030 年）複合年成長率為 36.78% 預計將達到。

隨著企業數量的增加和競爭的加劇，企業正試圖將人工智慧（AI）技術嚴格融入其應用程式、業務、分析和服務中。此外，企業希望降低營運成本以提高利潤率，這就是為什麼人工智慧即服務（AIaaS）比雲端更受關注的原因。作為參考點，企業正在轉向雲端基礎的機器學習，這有助於他們試驗產品。

關鍵亮點

多重雲端功能的趨勢和對雲端基礎的智慧服務的日益成長的需求也在推動對人工智慧即服務 (AIaaS) 的需求。 IBM 稱，98% 的組織計劃在 2021 年採用多重雲端架構，但只有 41% 的組織制定了多重雲端管理策略，也沒有操作多重雲端環境的程式或工具。這為AI服務創造了巨大的機會。
此外，IBM 的 2022 年人工智慧採用指數顯示，我們正處於人工智慧 (AI) 使用及其對商業和社會影響的轉折點。全球範圍內，人工智慧的採用率大幅提升，比前一年成長了4個百分點，達到35%。在某些領域和國家，人工智慧的使用已變得非常普遍。
由於新的自動化功能、更強的易用性和可訪問性以及更具包容性的試驗的使用案例，世界各地的組織正在迅速從人工智慧中獲得新的優勢和效率。虛擬助理和 IT 等現成的企業解決方案正在將 AI 納入業務中。 44%的企業正在努力將人工智慧融入其當前的應用程式和流程，這一事實支持了「可訪問性是關鍵」的說法。
許多政府機構，尤其是新興經濟體的政府機構也了解人工智慧的好處和力量，因此正在推動廣泛的人工智慧基礎設施建設。例如，印度國家提倡委員會增加了對「數位印度」的預算撥款，並推出了包括研發在內的國家人工智慧計劃，以推動人工智慧、機器學習、3D列印等技術的發展。

人工智慧即服務 (AIaaS) 市場趨勢

對預測和分析解決方案的需求不斷成長預計將推動市場成長

對預測和分析解決方案的需求不斷成長預計將推動 AIaaS（人工智慧即服務）市場的發展。 AIaaS是指將人工智慧（AI）的運算和分析能力外包給透過網際網路提供AI解決方案和工具的第三方服務供應商。
隨著人工智慧技術的進步，各行各業的公司都意識到將人工智慧融入其業務中的潛在好處。人工智慧有助於提高效率、增強客戶體驗並做出資料主導的決策。然而，引入人工智慧基礎設施和內部開發人工智慧模型需要時間和精力。 AIaaS 透過提供預先建置的 AI 解決方案和平台，提供了經濟高效且便利的替代方案。
AIaaS平台具有可擴展性和靈活性，可讓企業根據其需求存取AI資源。隨著對預測和分析解決方案的需求不斷成長，企業可以透過利用 AIaaS 服務輕鬆擴展其 AI 能力。這種靈活性使公司能夠適應不斷變化的業務需求，而無需在基礎設施和專業知識方面進行大量的前期投資。
AIaaS 消除了企業投資昂貴的硬體、軟體和專業 AI 專業知識的需求。 AIaaS 解決方案可讓企業以訂閱或付費使用制存取 AI 功能，從而降低前期成本並讓更廣泛的組織能夠使用 AI。這種成本效益特別有利。
在醫療保健領域實施預測分析需要強大的人工智慧能力、運算能力和專業知識。 AIaaS 平台為醫療保健機構提供了 AI 和預測分析工具的便利性和可近性，無需大量的前期投資。隨著醫療保健提供者和付款人意識到預測分析的價值，醫療保健領域對 AIaaS 解決方案的需求預計將成長，從而推動整個 AIaaS 市場的發展。
據飛利浦稱，截至去年第二個月，在新加坡接受調查的醫療保健領導者中，92%表示他們已經在其醫療保健組織中實施或正在實施預測分析，這一比例在所有受訪者中是最大的。排名第二的是中國，佔79%，排名第三的是巴西和美國，佔66%。

預計北美將佔據較大的市場佔有率

北美AIaaS（AI即服務）市場是AIaaS解決方案最大的市場之一。北美擁有矽谷等主要技術中心，這些中心致力於促進創新並推動技術進步。該地區擁有強大的基礎設施和先進的技術勞動力，有利於人工智慧技術的開發和部署。這樣的技術生態系統為AIaaS供應商提供解決方案和服務創造了良好的環境。
美國擁有強大的創新生態系統，這得益於聯邦政府對先進技術的戰略投資，以及來自世界各地富有遠見的科學家、企業家和知名研究機構的存在。
根據國家安全委員會人工智慧最終報告，國會應該每年將聯邦人工智慧提案預算增加一倍，到2026會計年度達到320億美元。在拜登政府提出的2023會計年度預算中，聯邦研發預算預計將超過2,040億美元，較2021會計年度授權水準成長28%。國家人工智慧研究機構，包括新的和現有的，都將獲得部分資金。該實驗室將匯集商業部門、組織、學術界以及聯邦、州和地方當局，共同應對人工智慧研究和勞動力發展的挑戰。預計政府的這些人工智慧發展措施將推動市場發展。
北美是人工智慧產業蓬勃發展的地區，擁有許多專注於人工智慧技術開發的新興企業、科技巨頭和研究機構。這個生態系統正在促進創新並推動對 AIaaS 解決方案的需求。醫療、金融、零售和製造等領域的公司正積極採用AI技術來增強其競爭地位，進一步推動北美AIaaS市場的成長。
北美的許多組織正在進行數位轉型，希望利用人工智慧技術來加強業務、最佳化流程並從資料中獲取洞察。 AIaaS 在這些努力中發揮關鍵作用，為企業提供一種可擴展、經濟高效的方式來存取 AI 功能，而無需在基礎設施和專業知識方面進行大量的前期投資。

AIaaS（人工智慧即服務）產業概覽

人工智慧即服務 (AIaaS) 市場高度細分，主要參與者包括微軟公司、Google有限責任公司、亞馬遜網路服務公司、IBM 公司和 BigML 公司。市場參與企業正在採取聯盟和收購等策略來增強其產品供應並獲得永續的競爭優勢。

2022年7月，IBM宣布收購領先的資料可觀察性軟體供應商Databand.ai。 Databand.ai 協助組織解決資料問題，例如錯誤、管線故障和品質不佳，以免影響收益。今天的公告擴展了 IBM 在資料、人工智慧和自動化領域的軟體產品組合，以涵蓋完整的可觀察性範圍。我們幫助組織在正確的時間將可信賴的資料交到正確的個人手中。

2022 年 6 月，亞馬遜推出了一項名為 Code Whisperer 的新服務，該服務利用機器學習為軟體開發人員產生程式碼提案。這是亞馬遜首次附加服務雲端服務。該工具目前處於預覽階段，旨在幫助程式設計師更快地編寫程式碼並為人工智慧計劃建立訓練資料。

其他福利

Excel 格式的市場預測 (ME) 表
3 個月的分析師支持

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.

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

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
- 6.4.4 Australia and New Zealand
- 6.4.5 Latin America
- 6.4.6 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