市場調査レポート

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1454147

AIaaS（Artificial Intelligence-as-a-Service）の世界市場規模、シェア、成長分析、サービスタイプ別、展開別-産業予測、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: 2024年03月10日 | 発行: SkyQuest

| ページ情報: 英文 197 Pages | 納期: 3～5営業日

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概要
目次

概要

サンプル依頼リストに入れる

AIaaS（Artificial Intelligence-as-a-Service）の世界市場規模は2022年に80億8,000万米ドルと評価され、2023年の119億7,000万米ドルから2031年には2,786億4,000万米ドルに成長し、予測期間（2024～2031年）のCAGRは48.2％で成長する展望です。

知的行動のコンピュータシミュレーションが人工知能の焦点です。AIaaS（Artificial Intelligence-as-a-Service）は、第三者によってビジネスに提供されます。AIaaSは、自動化された音声認識、視覚認識、言語認識など、幅広いAIサービスと技術をクラウドプラットフォーム経由でビジネスに提供します。これらのスマートなサービスは、ビジネスが新鮮洞察を見出し、データを最大限に活用するのに役立ちます。AIaaSは、AIの操作方法について事前に理解する必要がないため、AIの使用経験がない人でも利用することができます。

AIaaSは、人工知能が提供する様々なサービスについて説明するものであり、人工知能が人間の手を煩わせることなく、無駄な時間を省き、より迅速で正確な作業を可能にします。これは企業の効率向上に貢献し、組織の収益リターンを高めています。AIaaS（Artificial Intelligence-as-a-Service）は組織の余分な義務を引き受けるため、市場の征服に成功しています。人工知能は、大規模なデータを正確に管理できるように、分析手順のタスクを自動化するために使用されました。人工知能は、企業収益のリターンを高めつつ、企業の運営コストを引き下げる潜在的なソリューションとして注目されています。市場の拡大は、ウイルスの発生によって大きな影響を受けた。機械学習と人工知能によって支援された物理的な学習プロセスは、移動の制限によって最も悪影響を受けた。流行の最中、旅行業界は予約とキャンセルを迅速に管理するためにAIaaS（Artificial Intelligence-as-a-Service）を大いに活用しました。大量のデータはニューラルネットワークによって保存され、テキスト、音声、画像の統合によるディープラーニング技術も生み出され、情報を理解しやすくすると同時に、可能な限り高いアウトプットを生み出しています。航空セグメントでは、飛行機内外の環境条件を管理するAIaaS（Artificial Intelligence-as-a-Service）が幅広く活用されています。これにより、乗客の天候条件の自動制御が容易になります。同様の経験は自動車産業でも見られ、自律温度制御システムの開発を通じて、カスタマイズ型気候条件が車内に提供されています。人工知能は複雑であるため、設定制御には専門家が必要です。しかし、それには多額の投資が必要なため、市場の最大の抑制要因となっています。

技術分析
価格分析
サプライチェーン分析
バリューチェーン分析
市場のエコシステム
IP分析
貿易分析
スタートアップ分析
原材料の分析
イノベーションマトリクス
パイプライン製品の分析
マクロ経済指標
主要投資の分析
主要成功要因
競合の程度

市場力学と展望

市場力学
- 促進要因
- 機会
- 抑制要因
- 課題
規制情勢
ポーターの分析
将来の混乱についての特別な考察

AIaaS（Artificial Intelligence-as-a-Service）の世界市場：サービスタイプ別

市場概要
ソフトウェアとサービス

AIaaS（Artificial Intelligence-as-a-Service）の世界市場：展開別

市場概要
パブリッククラウドとハイブリッドクラウド

AIaaS（Artificial Intelligence-as-a-Service）の世界市場規模：地域別

市場概要
北米
- 米国
- カナダ
欧州
- ドイツ
- スペイン
- フランス
- 英国
- その他の欧州地域
アジア太平洋
- 中国
- インド
- 日本
- 韓国
- その他のアジア太平洋
ラテンアメリカ
- ブラジル
- その他のラテンアメリカ地域
中東・アフリカ
- GCC諸国
- 南アフリカ
- その他中東・アフリカ地域

競合情勢

上位5社の比較
主要企業の市場ポジショニング（2021年）
主要市場企業が採用した戦略
主要成功戦略
市場における最近の活動
主要企業の市場シェア（2021年）

主要企業プロファイル

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

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