雲端人工智慧：市場佔有率分析、產業趨勢與統計、成長預測（2024-2029）

Cloud AI - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)

出版日期: 2024年02月15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

2024 年雲端AI 市場規模估計為 675.6 億美元，預計到 2029 年將達到 2745.4 億美元，在預測期間（2024-2029 年）以 32.37% 的複合年增長率增長。

COVID-19感染疾病促使一些組織加速向公共雲端解決方案遷移，因為雲端服務的彈性可以適應服務需求的意外激增。遷移到雲端極大地幫助公司在 COVID-19 大流行期間重塑了業務方式。對人工智慧服務的需求不斷增加，許多雲端供應商都在提供人工智慧服務。因此，去年醫療保健領域的雲端市場成長更為顯著。雲端人工智慧技術被大量用於對抗 COVID-19。

主要亮點

隨著公司數量和競爭的增加，公司渴望將人工智慧 (AI) 技術整合到其應用程式、分析、業務和服務中。此外，由於雲端人工服務的普及，公司正在努力降低營運成本以提高報酬率，預計這將在預測期內推動市場成長。
隨著多重雲端能力的不斷增強以及雲端基礎的智慧服務需求的不斷成長，對AI雲解決方案的需求也不斷增加。據 IBM 稱，到去年，98% 的組織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% 的企業擁有經營多重雲端環境的程式和工具。這將為雲端人工智慧服務創造巨大的機會。
所研究市場的促進因素包括巨量資料量的增加、對虛擬助理的需求不斷成長、雲端基礎的服務和應用程式的採用不斷增加等。
據思科系統公司稱，巨量資料量預計將從2016年的51Exabyte成長到去年的403Exabyte，成長率接近7倍。由於企業傾向於採用雲端人工智慧解決方案從此類資料中獲取洞察，預計該數量將在預測期內逐漸增加，從而增加預測期內促進因素的影響。
雲端運算平台市場受益於疫情。隨著經濟慢慢復甦，雲端技術的運用讓網路業務變得更加容易。雲端正在加速全面人工智慧的採用，雲端人工智慧的採用和支出也正在加速。

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

雲端人工智慧在政府機構中的採用是由該平臺的巨大功能推動的，這使其能夠擴展包括數據挖掘在內的大規模工作，並對公共課題產生直接影響。此外，由於數據隱私原因而促使採用雲端計算的最初障礙正在被克服，並有望獲得進一步的動力。
近年來，隨著雲端、人工智慧（AI）、物聯網（IoT）、區塊鏈和其他新技術的出現和穩定接受，雲端人工智慧的採用已經成熟。一些政府機構正在利用三個雲端服務供應商（Microsoft Azure、Amazon Web Services 和 Google Cloud Platform）之間的競爭來提供大型伺服器叢集、實施 Hadoop 和資料湖，並部署數百名資料科學家。
隨著企業的全面參與，世界各地的政府都認知到，雲端正在從一個儲存資料的地方演變成組織在所有環境中的一組功能，這些功能可以降低成本並實現創新和彈性。
IBM等公司一直與各級政府機構密切合作，推動雲端、人工智慧、區塊鏈等新技術的應用。 IBM 也推出了政府雲端虛擬高峰會，多位政府領導人在會上討論了雲端 AI 服務如何協助應對自然災害並在網路安全漏洞後改善公共。
機器學習模型經過訓練、託管並用於在 Google Cloud 和 AWS 等雲端 AI 平台上進行預測並提供見解。如果人工智慧在雲端運算中實現，它將能夠自行做出明智的決策。谷歌雲端平台（GCP）涵蓋基礎設施、資料和分析以及其他服務，是 Alphabet 雲端業務的主要收益來源。去年，Google雲端的收益為190億美元，佔Google整體收益的7.5%。

北美佔主要佔有率

由於北美是該技術的早期採用者之一，預計將主導全球雲端人工智慧市場。另一個因素是市場上大多數的主要企業都位於美國。該地區最終用戶對雲端的採用也非常先進。因此，投資所研究的市場成本太高。該地區也是主導全球混合雲端和IaaS市場的關鍵地區。
在該地區營運的市場相關人員主要投資於創新其產品的額外獨特功能，以獲得競爭優勢並擴大其目標客戶群。預計這也將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，總部位於美國的 SoundHound Inc. 提供 Houndify，這是一個獨立的 AI 平臺，使開發人員和高管能夠在任何地方部署對話介面，以區分和創新，同時保持對其品牌和使用者的控制。該公司最近在其 Houndify 語音 AI 平臺中添加了 SoundHound 音樂識別技術。同時還與本田建立了戰略聯盟，以加速開發。
隨著區域組織擴大將流程和應用程式遷移到雲端中，市場上營運的供應商可能需要提供更高水準的客戶體驗 (CX)、效能和生產力，以獲得競爭優勢。企業使用廣泛的分析工具，其中結合了人工智慧、機器學習 (ML)、擴增實境(AR) 和巨量資料技術，為可用資料添加智慧。
此外，加拿大政府還採取了「雲端優先」策略，在啟動資訊技術投資、措施、策略和計劃時，雲端服務被確定為主要交付選項並進行評估。雲端預計也將使加拿大政府能夠利用私人提供者的創新來提高資訊技術的敏捷性。
雲端供應商透過提供大量服務和工具來進一步增強對人工智慧的需求，這些服務和工具使開發、測試、增強和操作人工智慧系統變得容易，而無需大量的前期投資。其中包括針對機器學習進行最佳化的硬體、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人工智慧開發工作流程平台。

雲人工智慧（AI）產業概況

高度的市場整合加劇了微軟、IBM、Google和亞馬遜等知名公司之間的競爭。其他公司正在積極擴展產品系列和地理分佈，以獲取重要的市場佔有率。在這個市場上經營的公司正在大力投資人工智慧相關技術，以創新產品並獲得永續的競爭優勢。因此，各公司不斷激烈競爭以創新和推出新產品。

2022 年 10 月，在 Oracle CloudWorld 上，Nvidia 和 Oracle 宣布了一項多年擴展協議，以幫助客戶加速人工智慧 (AI) 的採用。此次合作使 Nvidia 的整個加速運算堆疊（包括 GPU、系統和軟體）都可以在 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