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1454147

AIaaS（人工智慧即服务）全球市场规模、份额、成长分析（按服务类型、部署）－产业预测，2024-2031 年

Global Artificial Intelligence As A Service Market Size, Share, Growth Analysis, By Service Type(Software and Services), By Deployment(Public Cloud and Hybrid Cloud) - Industry Forecast 2024-2031

出版日期: 2024年03月10日 | 出版商:

SkyQuest | 英文 197 Pages | 商品交期: 3-5个工作天内

价格

简介目录

2022年AIaaS（人工智慧即服务）全球市场规模为80.8亿美元，从2023年的119.7亿美元成长到2031年的2786.4亿美元，预计复合年增长率为48.2%在预测期内（2024-2031）。

智慧行为的电脑模拟是人工智慧的重点。 AIaaS（人工智慧即服务）由第三方提供给您的企业。 AIaaS 透过云端平台为企业提供广泛的人工智慧服务和技术，包括自动语音辨识、视觉和语言辨识。这些智慧服务帮助企业找到新的见解并充分利用资料。 AIaaS不需要事先了解如何操作AI，因此即使没有使用AI经验的人也可以使用它。

AIaaS描述了人工智慧提供的各种服务，无需人工干预即可实现更快、更准确的工作，消除时间浪费。这有助于提高企业效率并增加组织的收益回报。 AIaaS（人工智慧即服务）正在成功征服市场，因为它接管了组织的额外职责。人工智慧用于自动化分析程式中的任务，以便准确管理大规模资料。人工智慧正在成为一种潜在的解决方案，可以降低企业营运成本，同时提高企业收益回报。市场扩张受到病毒爆发的显着影响。由机器学习和人工智慧支援的物理学习过程受运动限制的负面影响最大。疫情期间，旅游业大量利用AIaaS（人工智慧即服务）来快速管理预订和取消。神经网路储存大量资料，深度学习技术也透过整合文字、音讯和图像来创建，使资讯更容易理解，同时产生尽可能高的输出。在航空领域，AIaaS（人工智慧即服务）被广泛用于管理飞机内外的环境条件。这有利于乘客自动控制天气状况。汽车产业也有类似的经验，透过开发自主温度控制系统来提供客製化的车内气候条件。人工智慧很复杂，需要专家进行配置控制。但它需要大量的投资，这是市场上最大的限制。

市场概况
北美洲
- 美国
- 加拿大
欧洲
- 德国
- 西班牙
- 法国
- 英国
- 其他欧洲地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 其他亚太地区
拉丁美洲
- 巴西
- 其他拉丁美洲地区
中东/非洲
- 海湾合作委员会国家
- 南非
- 其他中东/非洲地区

竞争格局

前5名企业对比
主要企业市场定位（2021年）
主要市场参与者所采取的策略
关键成功策略
近期市集活动
主要企业市场占有率（2021年）

主要企业简介

IBM
Microsoft
Google
Amazon Web Services（AWS）
Oracle
SAP
Intel
General Electric（GE）
Baidu
HPE
NVIDIA
Infosys
Cognitivescale
Wipro
Ayasdi
Freenome
Salesforce
H2O.ai
CognitiveScale
Fractal Analytics

简介目录

Product Code: SQMIG45I2071

Global Artificial Intelligence As A Service Market size was valued at USD 8.08 billion in 2022 and is poised to grow from USD 11.97 billion in 2023 to USD 278.64 billion by 2031, growing at a CAGR of 48.2% in the forecast period (2024-2031).

The computer simulation of intelligent behavior is the focus of artificial intelligence. Artificial intelligence as a service (AIaaS) is supplied to the business by a third party. AIaaS gives a business access to a wide range of AI services and technologies via a cloud platform, such as automated speech, vision, and language recognition. These smart services help a business find fresh insights and maximize its data. Even those without any past experience with AI can utilize AIaaS since it doesn't require any prior understanding of how they operate.

It mostly discusses the various services that artificial intelligence offers, which lessen the need for human interaction and enable quicker, more precise work with less time wasted. This contributes to the company's increased efficiency, which raises the organization's revenue return. Because AI as a service assumes the extra obligations of the organization, it has been successful in conquering the market. Artificial intelligence was used to automate tasks in analytical procedures so that large data could be managed accurately. Artificial intelligence has been seen as a potential solution to lower the company's operating costs while boosting revenue return. The market's expansion was significantly impacted by the outbreak of the virus. The physical learning process, which was aided by machine learning and artificial intelligence, was most negatively impacted by the limitations on movement. During the epidemic, the travel industry made extensive use of AI-as-a-service to expeditiously manage reservations and cancellations. Large volumes of data are stored by neural networks, which also produce deep learning techniques with text, voice, and image integration that make information easier to understand while producing the highest possible output. The aviation sector makes extensive use of artificial intelligence as a service to manage environmental conditions both inside and outside of planes. It facilitates the automatic control of passenger weather conditions. Similar experiences can be found in the automotive industry, where customized climate conditions are delivered to the interior of the vehicle through the development of an autonomous temperature control system. Due to the complexity of artificial intelligence, setting control requires the employment of experts. However, because it requires a significant investment, it serves as the market's largest restraint.

Top-down and bottom-up approaches were used to estimate and validate the size of Global Artificial Intelligence As A Service Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Logistics Automation Market Segmental Analysis

The market for artificial intelligence services worldwide is divided into segments based on service type, deployment, and geography. The global artificial intelligence as a service market is divided into software and services based on the type of service. The public cloud and hybrid cloud segments of the worldwide artificial intelligence as a service market are based on deployment. The global market is segmented into four regions: North America, Europe, Asia Pacific, and Middle East & Africa.

Drivers of Global Artificial Intelligence As A Service Market

Throughout the projection period, there is a noticeable increase in the banking, insurance, and financial services industries. A vast amount of client data or transaction records are created by the banking industry's growing digital revolution, as well as by the growing use of mobile payments, e-banking, real-time money transfers, and mobile banking applications. Financial institutions are able to handle this enormous volume of data and provide a customized consumer experience by utilizing artificial intelligence. In a similar vein, AI helps banks and other financial institutions to identify fraudulent activity and anti-money laundering programs, which is anticipated to boost business expansion. Throughout the projection period, cloud-based AI services-such as digital payment advisors, voice and chatbots, digital wallets, biometric fraud detection, and personal financial services-are anticipated to propel market expansion.

Restraints in Global Artificial Intelligence As A Service Market

Massive volumes of data are mined by AI-driven systems for operational efficiency and future business planning. Growing concerns regarding data privacy are being caused by the development of sophisticated AI solutions. Due to AI's capacity for independent thought and action, data privacy issues are brought up. Additionally, businesses are employing data anonymization techniques to stop data breaches caused by AI, which extrapolate crucial information from data points. Such sensitive data is essential to AIaaS. Because of this, it is challenging for companies to guarantee the privacy and confidentiality of individual data points as well as massive data sets.

Market Trends of Global Artificial Intelligence As A Service Market

The expansion of the worldwide artificial intelligence-as-a-service (AIaaS) market is being driven by a major trend in the market: cloud-based solutions. Cloud-based applications that serve a wide range of end users are becoming more and more popular as a result of the increasing acceptability of cloud computing services on a worldwide scale. Organizations are compelled to use cloud-based solutions due to the advantages of cloud computing, which include reduced infrastructure computing costs, scalability, reliability, and high resource availability. Operating costs are decreased because cloud computing eliminates the requirement for dedicated IT support employees. To get the most out of pay-per-use subscription services, businesses are putting them into place. Through service design, it will hasten the adoption of cloud-based applications.

Executive Summary

Market Overview
Wheel of Fortune

Research Methodology

Information Procurement
Secondary & Primary Data Sources
Market Size Estimation
Market Assumptions & Limitations

Parent Market Analysis

Market Overview
Market Size
Market Dynamics
- Drivers
- Opportunities
- Restraints
- Challenges

Key Market Insights

Technology Analysis
Pricing Analysis
Supply Chain Analysis
Value Chain Analysis
Ecosystem of the Market
IP Analysis
Trade Analysis
Startup Analysis
Raw Material Analysis
Innovation Matrix
Pipeline Product Analysis
Macroeconomic Indicators
Top Investment Analysis
Key Success Factor
Degree of Competition

Market Dynamics & Outlook

Market Dynamics
- Drivers
- Opportunities
- Restraints
- Challenges
Regulatory Landscape
Porters Analysis
- Competitive rivalry
- Threat of Substitute Products
- Bargaining Power of Buyers
- Threat of New Entrants
- Bargaining Power of Suppliers
Skyquest Special Insights on Future Disruptions
- Political Impact
- Economic Impact
- Social Impact
- Technical Impact
- Environmental Impact
- Legal Impact

Global Artificial Intelligence As A Service Market by Service Type

Market Overview
Software and Services

Global Artificial Intelligence As A Service Market by Deployment

Market Overview
Public Cloud and Hybrid Cloud

Global Artificial Intelligence As A Service Market Size by Region

Market Overview
North America
- USA
- Canada
Europe
- Germany
- Spain
- France
- UK
- Rest of Europe
Asia Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America
- Brazil
- Rest of Latin America
Middle East & Africa (MEA)
- GCC Countries
- South Africa
- Rest of MEA

Competitive Landscape

Top 5 Player Comparison
Market Positioning of Key Players, 2021
Strategies Adopted by Key Market Players
Top Winning Strategies
- By Development
- By Company
- By Year
Recent Activities in the Market
Key Companies Market Share (%), 2021

Key Company Profiles

IBM
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Microsoft
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Google
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Amazon Web Services (AWS)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Oracle
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
SAP
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Intel
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
General Electric (GE)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Baidu
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
HPE
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
NVIDIA
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Infosys
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Cognitivescale
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Wipro
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Ayasdi
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Freenome
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Salesforce
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
H2O.ai
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
CognitiveScale
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Fractal Analytics
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
In July 2019, SAP SE and Google LLC partnered to transform business operations into the cloud with their machine learning and artificial intelligence capabilities. SAP customers can leverage SAP products and services with these partnerships, including SAP Data Warehouse Cloud solutions and SAP Analytics Cloud on Google Cloud's infrastructure and network.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
InA March 2021- Infosys partnered with LivePerson, Inc., a conversational cloud and AI solution provider, to enhance customer experience. The partnership enables businesses to manage conversations with customers and employees across websites, apps, andA SMS through LivePerson Conversational Cloud and Infosys Cobalt.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Artificial intelligence has been made an important part of the system by Microsoft, Google and IBM to reduce the chances of human error and automate maximum of the company's work to provide faster service.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Artificial intelligence has been implemented to expand the education industry and increase demand by keeping a continuous flow of services without interruption. An advanced system has been used for this purpose.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments