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市场调查报告书
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1437914

云端人工智慧：市场占有率分析、产业趋势与统计、成长预测（2024-2029）

Cloud AI - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

云AI市场规模预估2024年为675.6亿美元，预估至2029年将达2,745.4亿美元，预测期（2024-2029年）复合年增长率为32.37%成长。

云端人工智慧市场

COVID-19感染疾病导致一些组织加速向公共云端解决方案迁移，因为云端服务的弹性可以适应服务需求的意外激增。迁移到云端极大地帮助公司在 COVID-19 大流行期间重塑了业务方式。对人工智慧服务的需求不断增加，许多云端供应商都在提供人工智慧服务。因此，去年医疗保健领域的云端市场成长更为显着。云端人工智慧技术被大量用于对抗 COVID-19。

主要亮点

  • 随着公司数量和竞争的增加，公司渴望将人工智慧 (AI) 技术整合到其应用程式、分析、业务和服务中。此外，由于云端人工服务的普及，公司正在努力降低营运成本以提高报酬率，预计这将在预测期内推动市场成长。
  • 随着多重云端能力的不断增强以及云端基础的智慧服务需求的不断增长，对AI云解决方案的需求也不断增加。据 IBM 称，到去年，98% 的组织计划采用多重云端架构。只有 41% 的企业拥有多重云端管理策略，只有 38% 的企业拥有经营多重云端环境的程式和工具。这将为云端人工智慧服务创造巨大的机会。
  • 所研究市场的驱动因素包括巨量资料量的增加、对虚拟助理的需求不断增长、云端基础的服务和应用程式的采用不断增加等。
  • 据思科系统公司称，巨量资料量预计将从2016年的51Exabyte成长到去年的403Exabyte，成长率接近7倍。由于企业倾向于采用云端人工智慧解决方案从此类资料中获取洞察，预计该数量将在预测期内逐渐增加，从而增加预测期内驱动因素的影响。
  • 云端运算平台市场受益于疫情。随着经济慢慢復苏，云端技术的运用让网路业务变得更加容易。云端正在加速全面人工智慧的采用，云端人工智慧的采用和支出也正在加速。

云端人工智慧（AI）市场趋势

越来越多地采用云端基础的服务和应用程序

  • 云端人工智慧在政府中的采用是由该平台的巨大功能推动的，该平台使机构能够扩展包括资料探勘在内的大规模工作，以直接影响公共议程。此外，由于资料隐私原因而导致的云端运算采用的最初阻碍因素正在被克服，并有望获得进一步的发展动力。
  • 近年来，随着云端、人工智慧（AI）、物联网（IoT）、区块链和其他新技术的出现和稳定接受，云端人工智慧的采用已经成熟。一些政府机构正在利用三个云端服务供应商（Microsoft Azure、Amazon Web Services 和 Google Cloud Platform）之间的竞争来提供大型伺服器丛集、实施 Hadoop 和资料湖，并部署数百名资料科学家。
  • 随着企业的全面参与，世界各地的政府都认识到，云端正在从一个储存资料的地方演变成组织在所有环境中的一组功能，这些功能可以降低成本并实现创新和弹性。
  • IBM等公司一直与各级政府机构密切合作，推动云端、人工智慧、区块链等新技术的应用。 IBM 也推出了政府云端虚拟高峰会，多位政府领导人在会上讨论了云端 AI 服务如何协助应对自然灾害并在网路安全漏洞后改善公共。
  • 机器学习模型经过训练、託管并用于在 Google Cloud 和 AWS 等云端 AI 平台上进行预测并提供见解。如果人工智慧在云端运算中实现，它将能够自行做出明智的决策。谷歌云端平台（GCP）涵盖基础设施、资料和分析以及其他服务，是 Alphabet 云端业务的主要收益来源。去年，Google云端的收益为190亿美元，占Google整体收益的7.5%。

北美占主要份额

  • 由于北美是该技术的早期采用者之一，预计将主导全球云端人工智慧市场。另一个因素是市场上大多数的主要企业都位于美国。该地区最终用户对云端的采用也非常先进。因此，投资所研究的市场成本太高。该地区也是主导全球混合云端和IaaS市场的关键地区。
  • 在该地区营运的市场相关人员主要投资于创新其产品的额外独特功能，以获得竞争优势并扩大其目标客户群。预计这也将带来区域和全球市场的进步。这项因素进一步扩大了市场范围。
  • 例如，总部位于美国的SoundHound Inc.是一个独立的人工智慧平台，使开发人员和企业主能够在任何地方部署对话介面，以实现差异化和创新，同时保持品牌和用户控制。我们提供Houndify。该公司最近在其 Houndify 语音人工智慧平台中添加了 SoundHound 音乐辨识技术。我们也与本田结成战略联盟，加速发展。
  • 随着区域组织越来越多地将流程和应用程式迁移到云端中，市场上营运的供应商可能需要提供更高水准的客户体验 (CX)、效能和生产力，以获得竞争优势。企业使用广泛的分析工具，其中结合了人工智慧、机器学习 (ML)、扩增实境(AR) 和巨量资料技术，为可用资料添加智慧。
  • 此外，加拿大政府还采取了「云端优先」策略，在启动资讯技术投资、措施、策略和计划时，云端服务被确定为主要交付选项并进行评估。云端预计也将使加拿大政府能够利用私人提供者的创新来提高资讯技术的敏捷性。
  • 云端供应商透过提供大量服务和工具来进一步增强对人工智慧的需求，这些服务和工具使开发、测试、增强和操作人工智慧系统变得容易，而无需大量的前期投资。其中包括针对机器学习进行最佳化的硬体、用于自动化语音辨识和文字分析的 API、用于提高生产力的自动化机器学习建模系统以及人工智慧开发工作流程平台。

云人工智慧（AI）产业概况

高度的市场整合加剧了微软、IBM、Google和亚马逊等知名公司之间的竞争。其他公司正在积极扩展产品系列和地理分布，以获取重要的市场占有率。在这个市场上经营的公司正在大力投资人工智慧相关技术，以创新产品并获得可持续的竞争优势。因此，各公司不断激烈竞争以创新和推出新产品。

2022 年 10 月，在 Oracle CloudWorld 上，Nvidia 和 Oracle 宣布了一项多年扩展协议，以帮助客户加速人工智慧 (AI) 的采用。此次合作使 Nvidia 的整个加速运算堆迭（包括 GPU、系统和软体）都可以在 Oracle 云端基础架构 (OCI) 上使用。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

  • 市场概况
  • 产业吸引力“波特五力分析”
    • 供应商的议价能力
    • 买方议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争公司之间的敌意强度
  • 产业价值链分析
  • 技术简介
    • 机器学习
    • 自然语言处理（NLP）

第五章市场动态

  • 市场驱动因素
    • 巨量资料量的增加
    • 对虚拟助理的需求增加
    • 越来越多地采用云端基础的服务和应用程序
  • 市场挑战
    • 熟练劳动力短缺和资料安全问题
  • 新型冠状病毒感染疾病（COVID-19）的评估

第六章市场区隔

  • 按类型
    • 解决方案
    • 服务
  • 按行业 按最终用户
    • BFSI
    • 卫生保健
    • 车
    • 零售
    • 政府
    • 教育
    • 其他最终用户垂直领域
  • 地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲

第七章 竞争形势

  • 公司简介
    • Amazon Web Services Inc.
    • Microsoft Corporation
    • Google LLC
    • IBM Corporation
    • Infosys Limited
    • Wipro Limited
    • Cloudminds Technology
    • AIBrain LLC
    • Salesforce.com Inc.
    • SoundHound Inc.
    • Twilio, Inc.
    • Visenze Pte Ltd

第八章投资分析

第9章市场的未来

简介目录
Product Code: 62332

The Cloud AI Market size is estimated at USD 67.56 billion in 2024, and is expected to reach USD 274.54 billion by 2029, growing at a CAGR of 32.37% during the forecast period (2024-2029).

Cloud AI - Market

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

TABLE OF CONTENTS

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

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET