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市場調查報告書

商品編碼

1442007

人工智慧即服務市場 - 按技術（機器學習、電腦視覺、自然語言處理等）、按雲端類型、按企業規模、按產品、按最終用戶和預測，2024 年至 2032 年

Artificial Intelligence as a Service Market - By Technology (Machine Learning, Computer Vision, Natural Language Processing, Others), By Cloud Type, By Enterprise Size, By Offering, By End User & Forecast, 2024 - 2032

出版日期: 2024年01月12日 | 出版商:

Global Market Insights Inc. | 英文 220 Pages | 商品交期: 2-3個工作天內

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簡介目錄

在產業領導者不斷推出產品和不斷進步的推動下，2024 年至 2032 年間，全球人工智慧即服務市場的CAGR將超過 33%。隨著領先公司不斷創新並推出新的 AIaaS 解決方案，各行業的企業都在尋求利用這些尖端技術來提高效率、生產力和決策流程。

例如，2024 年 1 月，Oracle 宣布推出 Oracle 雲端基礎架構產生式 AI 服務，以及新的增強功能，以促進企業採用生成式 AI 的最新進展。 OCI 生成式人工智慧服務整合了 Meta Llama 2 和 Cohere 的法學碩士，是一個完全託管的解決方案，可滿足各種業務需求。

這些進步專注於提供可擴展和可客製化的 AI 解決方案，滿足企業不斷變化的需求，推動對 AIaaS 產品的需求並推動市場成長。

整體人工智慧即服務市場佔有率根據技術、產品和地區進行分類。

從 2024 年到 2032 年，電腦視覺領域將經歷重大發展。不同行業的企業都部署 AIaaS 解決方案，其中包含用於物件偵測、影像辨識和視訊分析等任務的電腦視覺功能。這項需求是由自動化、提高營運效率和增強客戶體驗的需求所驅動的。隨著電腦視覺繼續為各個行業帶來革命性的變化，對整合該技術的 AIaaS 產品的需求仍然強勁，從而推動了市場的成長。

平台即服務領域的人工智慧即服務市場規模將在 2024 年至 2032 年實現顯著的CAGR。PaaS 解決方案為企業提供可存取且可擴展的平台來開發、部署和管理人工智慧應用程式，而無需大量基礎設施投資。這種便利性和靈活性吸引了尋求利用人工智慧功能而無需複雜的內部開發的組織。隨著 PaaS 不斷推動人工智慧應用的民主化，與這些平台整合的 AIaaS 解決方案的需求不斷增加，從而推動了市場擴張。

歐洲人工智慧即服務業將在2024年至2032年呈現出值得稱讚的CAGR。隨著人工智慧研發投資的增加，歐洲企業正在擁抱AIaaS以提高營運效率並獲得競爭優勢。此外，有關資料隱私和安全的嚴格法規鼓勵組織採用符合歐盟標準的 AIaaS 產品。

隨著不同產業的企業認知到人工智慧的變革潛力，歐洲對 AIaaS 的需求持續成長，促進了市場成長和創新。例如，2023 年9 月，全球安永組織(EY) 推出了EY.ai，這是一個將人類專業知識與人工智慧(AI) 相結合的綜合平台，旨在透過負責任的人工智慧採用來促進客戶的業務轉型。 EY.ai 利用先進的安永技術平台和人工智慧能力，並以策略、交易、轉型、風險、鑑證和稅務方面的豐富經驗為支撐，所有這些都透過強大的人工智慧生態系統得到增強。

產業生態系統分析
供應商格局
- 雲端服務供應商
- 人工智慧解決方案提供商
- 企業和企業
利潤率分析
技術創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 最佳化採購流程和提高效率的需求
  - 強調數據驅動的洞察來最佳化採購策略
  - 人工智慧系統供應鏈管理的激增
  - 加強供應商績效評估與風險管理
- 產業陷阱與挑戰
  - 資料品質差和整合問題
  - 資料安全問題
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率
主要市場參與者的競爭分析
- Amazon Web Services, Inc.
- Salesforce, Inc.
- IBM Corporation
- Intel Corporation
- Microsoft
- BigML, Inc.
- Google LLC
競爭定位矩陣
戰略展望矩陣

第 5 章：人工智慧即服務市場估計與預測：按技術分類

主要動力向：靠技術
機器學習（ML）
電腦視覺
自然語言處理（NLP）
其他

第 6 章：人工智慧即服務市場估計與預測：按雲類型

主要動向：按雲型
公共雲端
混合雲端
私有雲端

第 7 章：人工智慧即服務市場估計與預測：按組織

主要動向：依組織規模
大型企業
中小企業

第 8 章：人工智慧即服務市場估計與預測：按產品分類

主要動向：透過提供
基礎設施即服務
平台即服務
軟體作為服務

第 9 章：人工智慧即服務市場估計與預測：按產業垂直產業

主要動向：依行業垂直
銀行、金融和保險 (BFSI)
醫療保健和生命科學
零售
資訊科技與電信
政府和國防
製造業
能源與公用事業
其他

第 10 章：人工智慧即服務市場估計與預測：按地區

主要動向：按地區
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 俄羅斯
- 北歐人
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 南非
- 沙烏地阿拉伯
- 阿拉伯聯合大公國

第 11 章：公司簡介

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

簡介目錄

Product Code: 7372

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.

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