雲端 AI：市場佔有率分析、行業趨勢和統計、成長預測（2025-2030 年）

Cloud AI - 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

預計 2025 年雲端 AI 市場規模為 894.3 億美元，預計到 2030 年將達到 3,634.4 億美元，預測期內（2025-2030 年）的複合年成長率為 32.37%。

由於雲端服務具有滿足意外的服務需求高峰的彈性，COVID-19 疫情已促使許多組織加速向公共雲端解決方案遷移。遷移到雲端極大地幫助企業在 COVID-19 期間重塑了業務方式。隨著對人工智慧服務的需求不斷成長，許多雲端供應商現在都提供這些服務。因此，去年雲端市場在醫療保健領域實現了顯著成長。雲端AI技術正被廣泛用於對抗新冠肺炎疫情。

主要亮點

隨著企業數量的增加和企業之間競爭的加劇，企業正在努力將人工智慧 (AI) 技術融入其應用程式、分析、業務和服務中。此外，企業正在努力降低營運成本以提高利潤率，這就是雲端人工智慧變得越來越普遍的原因。
多重雲端趨勢和對雲端基礎的智慧服務日益成長的需求也在推動對人工智慧雲端解決方案的需求。據 IBM 稱，到今年年底，98% 的企業計劃採用多重雲端架構。只有 41% 的企業擁有多重雲端管理策略，只有 38% 的企業擁有操作多重雲端環境的程式或工具。這對雲端AI服務而言是一個龐大的商機。
推動市場發展的因素包括巨量資料量的增加、對虛擬助理的需求的不斷成長以及雲端基礎的服務和應用程式的日益普及。
根據Cisco，巨量資料量將從2016年的Exabyte成長至去年的Exabyte，成長率約7倍。由於企業傾向於採用雲端 AI 解決方案來從此類資料中獲取洞察力，從而增加預測期內促進因素的影響力，因此預計這一數量將在預測期內逐步增加。
雲端處理平台市場受益於這場疫情。隨著經濟逐漸復甦，雲端技術的使用使得網路業務變得更加容易。雲端正在加速全面部署AI，加速雲端AI的採用和支出。

雲端人工智慧 (AI) 市場趨勢

擴大採用雲端基礎的服務和應用程式

政府採用雲端 AI 的動力源自於該平台強大的能力，它使政府機構能夠擴展包括資料探勘在內的大規模工作，並直接影響公共挑戰。此外，由於資料隱私原因而導致的採用雲端處理的初始阻礙因素正在被克服，並且預計將獲得進一步的發展。
隨著雲端、人工智慧（AI）、物聯網（IoT）、區塊鏈等新技術的出現和逐漸被接受，雲端AI部署近年來已日趨成熟。一些政府機構正在利用三家雲端服務供應商（Microsoft Azure、Amazon Web Services 和 Google Cloud Platform）之間的競爭來配置大型伺服器叢集並運行 Hadoop 和資料應用程式。數百名資料科學家。
在企業的充分參與下，雲端已經從一個儲存資料的地方發展成為一套涵蓋組織所有環境的功能，可以降低成本、提供創新和靈活性。
IBM 等公司一直與各級政府機構密切合作，推動雲端運算、人工智慧、區塊鏈和其他新興技術的應用。 IBM 也推出了政府雲端虛擬高峰會，各政府領導人在會上大力宣傳雲端 AI 服務如何協助應對自然災害並在網路安全漏洞發生後改善公共安全。
機器學習模型在 Google Cloud 和 AWS 等雲端 AI 平台上進行訓練、託管並用於進行預測和提供見解。雲端處理與人工智慧結合後，可以自行做出智慧決策。谷歌雲端平台（GCP）涵蓋基礎設施、資料、分析和其他服務，是 Alphabet 雲端業務的主要收益來源。谷歌雲端去年收益為190億美元，佔Google總收益的7.5%。

北美占主要佔有率

北美是雲端 AI 技術的早期採用者之一，預計將主導全球雲端 AI 市場。另一個因素是，市場上大多數主要參與者都位於美國。該地區最終用戶的雲端採用率也相當高。因此，所研究市場的投資也過高。該地區還在全球混合雲端和 IaaS 市場佔據主導地位。
在該地區營運的市場參與者主要投資於其產品的附加和獨特功能創新，以獲得競爭優勢並擴大其客戶目標。這也有望帶來區域和全球市場的進步。這項因素進一步擴大了市場範圍。
例如，美國的SoundHound Inc. 提供Houndify。 Houndify 是一個獨立的人工智慧平台，它使開發人員和企業主能夠在任何地方部署對話介面，實現差異化、創新並讓他們的品牌和用戶掌控一切。該公司最近在其 Houndify 語音 AI 平台中添加了 SoundHound 音樂辨識技術。我們也與本田技研工業工業結成了策略夥伴關係，以加速發展。
隨著組織不斷將其流程和應用程式遷移到雲端，市場上的供應商需要提供更高層級的客戶體驗 (CX)、效能和生產力，以獲得競爭優勢。公司將利用融合了人工智慧、機器學習（ML）、擴增實境（AR）和巨量資料等技術的各種分析工具，將增強智慧添加到可用資料中。
此外，加拿大政府還採用了「雲端優先」策略，該策略將在啟動任何資訊技術投資、計劃、策略或計劃時將雲端服務確定和評估為主要交付選項。雲端運算還有望使加拿大政府能夠利用私人供應商的創新，並使其資訊技術更加靈活。
雲端供應商透過提供一系列服務和工具進一步刺激對人工智慧的需求，這些服務和工具使得開發、測試、擴展和操作人工智慧系統變得更加容易，而無需大量的前期投資。這包括機器學習最佳化的硬體、用於自動化語音辨識和文字分析的 API、用於提高生產力的自動化機器學習建模系統以及 AI 開發工作流程平台。

雲端人工智慧 (AI) 產業概覽

市場整合不斷加劇，導致知名參與者之間的競爭加劇，例如：微軟、IBM、Google、亞馬遜等。引領他們獲得了永續的競爭優勢。

2022 年 10 月，在 Oracle CloudWorld 上，Nvidia 和Oracle宣布了一項擴大的多年期協議，以幫助客戶加速採用人工智慧 (AI)。此次合作使 Nvidia 的整個加速運算堆疊（包括 GPU、系統和軟體）可在 Oracle 雲端基礎架構 (OCI) 上使用。

其他福利：

Excel 格式的市場預測 (ME) 表
3 個月的分析師支持

The COVID-19 pandemic caused several organizations to accelerate their migrations to public cloud solutions since cloud service elasticity could meet unexpected spikes in service demand. Migrations to the cloud considerably helped companies reinvent how they conduct their businesses during COVID-19. The requirement for AI services has grown, and many cloud providers offer AI services. As a result, the cloud market recorded more growth significantly in the healthcare segment last year. Cloud AI technology was being used considerably to fight COVID-19.

Key Highlights

With the growing number of enterprises and competition among them, companies are rigorously trying to integrate artificial intelligence (AI) technology with their application, analytics, business, and services. Moreover, companies are engaged in reducing their operational costs to ascend profit margins, owing to which artificial over the cloud is becoming popular, which is, in turn, expected to fuel the market growth over the forecast period.
The rising trend of multi-cloud functioning and the growing need for cloud-based intelligence services also increase the demand for AI cloud solutions. According to IBM, 98% of the organization's plan will adopt multi-cloud architectures by last year. Only 41% have a multi-cloud management strategy, and just 38% have procedures and tools to operate a multi-cloud environment. This is poised to create a massive opportunity for cloud AI services.
The driving factors in the studied market include rising big data volume, increasing demand for virtual assistants, and growing adoption of cloud-based services and applications.
According to Cisco Systems Inc, the volume of big data is poised to increase from 51 exabytes in 2016 to 403 exabytes in the last year, representing a growth rate of almost seven times. The volume is expected to increase gradually in the forecast period, increasing the impact of the driver in the forecast period as companies tend to adopt cloud AI solutions to arrive at insights from such data.
The market for cloud computing platforms has benefited from the pandemic. Using cloud technologies has made it easier to do internet business as the economy slowly revives. The cloud is hastening the deployment of full-scale AI, which hastens the adoption of and spending on Cloud-AI.

Cloud Artificial Intelligence (AI) Market Trends

Growing Adoption of Cloud-based Service and Application

The adoption of cloud AI in government agencies is driven by the enormous capabilities of the platform, which allows government bodies to scale massive jobs, including data mining, and can directly impact public challenges. Furthermore, the initial inhibitions for data privacy reasons to adopt cloud computing are being overcome and are expected to gain further traction.
The deployment of cloud AI has matured in recent years with the emergence and steady acceptance of the cloud, artificial intelligence (AI), the Internet of Things (IoT), blockchain, and other new technologies. Several government agencies have leveraged the competition between three cloud service providers, Microsoft Azure, Amazon Web Services, and Google Cloud Platform, to provision large clusters of servers, implement Hadoop and data lakes and employ hundreds of data scientists.
The exhaustive participation of companies has increased the awareness amongst governments across the world regarding the development of the cloud from being a location to store data to a set of capabilities in all of an organization's environments that can reduce costs and deliver innovation and flexibility.
Companies like IBM have worked closely with agencies at various levels of government to advance the application of cloud, AI, blockchain, and other new technologies. IBM also introduced the Government Cloud Virtual Summit, where various government leaders addressed how cloud AI services can help respond to natural disasters and improve public safety after a cybersecurity breach.
Machine learning models are trained, hosted, and used to make predictions and provide insights on cloud AI platforms like Google Cloud and AWS. Cloud computing can make wise decisions on its own if AI is implemented in it. The Google Cloud Platform (GCP), which encompasses infrastructure, data and analytics, and other services, is the main revenue source for Alphabet's Cloud business. Last year, Google Cloud had USD 19 billion as income which represents 7.5% of Google's overall earnings.

North America Holds Major Share

North America is expected to dominate the global cloud AI market, owing to its status as one of the early adopters of the technology. The other factor is that most of the major players in the market are US-based. Cloud adoption among the regional end-user is also quite high. Hence, the investment in the studied market is too high. The region is also a key region dominating the global hybrid cloud and IaaS market.
Market players operating in the region are investing in innovating additional and unique features to their offerings, mainly to gain a competitive advantage and expand their customer target base. This is also expected to bring advancement in the regional and global markets. This factor expands the market scope further.
For instance, US-based SoundHound Inc. offers Houndify, an independent AI platform that enables developers and business owners to deploy a conversational interface anywhere to retain control of their brand and users while differentiating and innovating. The company recently added SoundHound music recognition technology to its Houndify voice AI platform. It also strategically partnered with Honda Motor Co. Ltd to accelerate development.
As regional organizations increasingly migrate their processes and applications to the cloud, vendors operating in the market may have to offer next-level customer experience (CX), performance, and productivity to gain a competitive edge. Companies add intelligence to the available data by using a broadened set of analytics tools that incorporate technologies such as AI, machine learning (ML), augmented reality (AR), and big data.
Also, the Government of Canada has a "cloud-first" strategy, whereby cloud services are identified and evaluated as the principal delivery option when initiating information technology investments, initiatives, strategies, and projects. The cloud is also expected to allow the Government of Canada to harness private-sector providers' innovation to make its information technology more agile.
Cloud vendors are further strengthening the demand for AI by offering a number of services and tools that make it easier to develop, test, enhance, and operate AI systems without big upfront investments. These include hardware optimized for machine learning, APIs that automate speech recognition and text analysis, productivity-boosting automated machine learning modeling systems, and AI development workflow platforms.

Cloud Artificial Intelligence (AI) Industry Overview

The high market consolidation has increased the competition among prominent players such as Microsoft, IBM, Google, Amazon, etc. The other players are actively expanding their product portfolio and geographical presence to capture a significant market share. The players operating in this market are investing hugely in artificial intelligence-related technologies and innovating their products, leading them to gain a sustainable competitive advantage. Due to this, there is always high competition between players to innovate and introduce new products.

In October 2022, at Oracle CloudWorld, Nvidia and Oracle announced an expanded, multiyear agreement to support clients' accelerated adoption of artificial intelligence (AI). Through the partnership, Nvidia's entire accelerated computing stack will be made available to Oracle Cloud Infrastructure (OCI), including GPUs, systems, and software.

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 Buyers
- 4.2.3 Threat of New Entrants
- 4.2.4 Threat of Substitutes
- 4.2.5 Intensity of Competitive Rivalry
4.3 Industry Value Chain Analysis
4.4 Technology Snapshot
- 4.4.1 Machine Learning
- 4.4.2 Natural Language Processing (NLP)

5 MARKET DYNAMICS

5.1 Market Drivers
- 5.1.1 Rising Big Data Volume
- 5.1.2 Increasing Demand for Virtual Assistants
- 5.1.3 Growing Adoption of Cloud-based Service and Application
5.2 Market Challenges
- 5.2.1 Lack of Skilled Workforce and Data Security Concerns
5.3 Assessment of COVID-19

6 MARKET SEGMENTATION

6.1 By Type
- 6.1.1 Solution
- 6.1.2 Service
6.2 By End-user Vertical
- 6.2.1 BFSI
- 6.2.2 Healthcare
- 6.2.3 Automotive
- 6.2.4 Retail
- 6.2.5 Government
- 6.2.6 Education
- 6.2.7 Other End-user Vertical
6.3 Geography
- 6.3.1 North America
- 6.3.2 Europe
- 6.3.3 Asia-Pacific
- 6.3.4 Latin America
- 6.3.5 Middle East and Africa

7 COMPETITIVE LANDSCAPE

7.1 Company Profiles
- 7.1.1 Amazon Web Services Inc.
- 7.1.2 Microsoft Corporation
- 7.1.3 Google LLC
- 7.1.4 IBM Corporation
- 7.1.5 Infosys Limited
- 7.1.6 Wipro Limited
- 7.1.7 Cloudminds Technology
- 7.1.8 AIBrain LLC
- 7.1.9 Salesforce.com Inc.
- 7.1.10 SoundHound Inc.
- 7.1.11 Twilio, Inc.
- 7.1.12 Visenze Pte Ltd