企业 AI 市场 - 增长、趋势、COVID-19 影响和预测（2022-2027 年）

企业人工智能市场在预测期内的复合年增长率为 52.17%。

企业认识到将人工智能 (AI) 融入其业务流程以通过自动化流程来提高运营效率和降低成本的价值。

主要亮点

• 企业数位化是市场的最主要趋势。第四次工业革命（工业4.0）的特点是物联网、人工智能、智能机器人、无处不在的移动超级计算、信息管理和分析等物理技术和先进数字技术相结合，预计将遍及各个行业. 影响很大由于与工业 4.0 的普及相关的工业自动化蓬勃发展，旨在提高製造过程效率的机器人和自动化技术的引入正在取得进展。
• 例如，根据美国银行的数据，到 2025 年，机器人和人工智能工业机器人行业的价值预计将达到 240 亿美元左右。这种趋势正在增加企业中机器人过程自动化 (RPA) 的使用，这是人工智能的一个关键方面。
• 企业 AI 是数位化转型的关键推动力。未来几乎所有的企业软件应用程序都将支持人工智能。因此，培养大规模构建、部署和运营企业 AI 应用程序的能力正成为企业生存的必要条件。
• 根据 O'Reilly 关于 2022 年企业 AI 采用情况的报告（时事通讯的收件人对企业 AI 采用情况的调查作出回应），31% 的公司没有使用 AI（相比之下，2021 年为 13%），43 % 评估采用情况，26% 报告部署 AI 应用程序。大洋洲地区是采用人工智能的製造业受访者数量从 18% 增加到 31% 的主要地区。大量组织缺乏人工智能治理。在生产人工智能产品的 26% 的受访者中，49% 的人制定了监管计划来监督项目的创建、衡量和观察方式，而没有的人则为 51%。
• 但是，企业 AI 市场的製造商在创建或修改此类技术时面临着巨大的基础智力挑战。人工智能市场的主要驱动力是生产力的提高、应用程序的多样化、客户满意度和广泛的数据集成。
• COVID-19 大流行已导致许多组织加速迁移到公共云端解决方案。因为云端服务的弹性可以适应服务需求的意外高峰。迁移到云端正在帮助公司在 COVID-19 大流行期间重塑他们的业务方式。

主要市场趋势

预计云端采用率将增长更快

• 人工智能云端，曾经是一个概念，现在通过结合人工智能和云，在企业中引入。推动这一趋势的一个关键因素是人工智能工具和软件，它们不仅为存储和计算数据提供了经济的选择，而且还为云计算增加了新的价值，这有助于引入人工智能。
• 人工智能云主要由人工智能用例的共享基础架构组成，在任何给定时间在云基础架构上同时支持多个项目和人工智能工作负载。 AI Cloud 将 AI 硬件和软件结合在一起，在混合云基础架构上提供 AI 软件即服务，让组织能够访问 AI 并使他们能够更好地利用其 AI 能力。
• 云端 AI 最引人注目的优势之一是它可以解决问题。它将从根本上使人工智能民主化并使其更容易获得。降低安装成本并促进共同创造和创新正在推动企业的人工智能转型。
• 世界各地的组织都在采用云解决方案。例如，2021 年 12 月，Kyndryl 宣布与 Google Cloud 建立战略合作伙伴关係，透露该服务提供商将开发一套新的数字化转型服务，特别关注数据分析、机器学习和人工智能。借助 Google Cloud，Kyndryl 计划扩展其託管的 SAP 产品，开发更新的边缘和以数据为中心的应用程序，并为其最大的金融客户加速云迁移。
• 2021 年 10 月，连接企业分析公司多云数据平台的 Teradata 和提供人工智能云平台的 H2O.ai 将加入公司先进的 AI 平台“H2O AI 混合云”和 Teradata 的多-云平台，宣布将整合云数据平台“Vantage”。这种集成将使 Teradata 和 H2O.ai 客户能够快速轻鬆地构建、部署和运营人工智能解决方案，以解决业务问题并增加业务价值。

预计欧洲在预测期内将占据较大的市场份额

• 由于工业革命和自动化等主流趋势，欧洲地区的需求正在增加。随着机器学习的发展，该地区的公司已确认投资于各种自动化技术，如机器人技术、人工智能。
• 欧盟将于 2021 年 4 月推出《人工智能法案》，该法案将于 2023 年初生效。该法律将对世界各地的公民和企业使用人工智能和机器学习产生深远的影响。预计这些努力将积极推动企业人工智能市场。
• 根据欧盟统计局的数据，到 2021 年，大公司将比小企业更多地使用人工智能。由于企业部署人工智能技术的复杂性，28% 的大型企业、13% 的中型企业和 6% 的小型企业正在见证人工智能的使用。
• 此外，该地区的主要参与者正在投资并扩大其在企业 AI 市场的能力。例如，2022 年 5 月，惠普企业宣布在捷克共和国开设新地点，以加强其欧洲超级计算机供应链。新工厂将生产公司定制设计的解决方案，以推进科学研究、成熟的 AL/ML 计划和加速创新。
• 预计认知计算的兴起将使在当地企业中復制人类感官感知、推理、思考、学习和决策能力成为可能。这种范式利用海量的计算能力，在速度和容量上都超越了人类的繁殖，识别了个人无法感知的模式并提供了潜在的解决方案，并扩大了人工智能解决方案的使用范围。

竞争格局

企业人工智能市场的竞争由于主要参与者的数量，公司之间的竞争处于高水平。 IBM、SAP SE、Hewlett Packard Enterprise、Google Inc.、Microsoft Corporation 和 Oracle Corporation 等企业正在寻求通过为其用户设计新的创新产品来获得最大的市场份额。通过对研发、併购、战略扩张、筹资和战略合作伙伴关係的大量投资获得竞争优势。

• 2021 年 10 月 - Nvidia 表示，VMware vSphere with Tanzu 的最新更新将允许企业与 NVIDIA AI Enterprise 软件套件一起运行 AI 项目试验。 NVIDIA AI Enterprise 于 2021 年 8 月推出，是一个端到端的云原生套件，包含经过优化、认证和支持的 AI 和数据分析框架和工具，可为现代混合云中的 AI/ML 应用程序提供支持。
• 2021 年 8 月 - IBM 宣布推出片上加速人工智能处理器。它旨在帮助客户在银行、金融、贸易和保险应用程序以及客户交互中实现大规模的业务洞察。

其他特典

• Excel 格式的市场预测 (ME) 表
• 3 个月的分析师支持

内容

第 1 章介绍

• 研究假设和市场定义
• 调查范围

第 2 章研究方法

第 3 章执行摘要

第 4 章市场动态

• 市场概览
• 市场促进因素和限制因素简介
• 市场促进因素
  • 对自动化和基于 AI 的解决方案的需求不断增加
  • 对呈指数增长的数据集的分析需求不断增加
• 市场抑制因素
  • 介绍率低
• 行业吸引力 - 波特五力分析
  • 新进入者的威胁
  • 买方/消费者议价能力
  • 供应商的议价能力
  • 替代品的威胁
  • 竞争公司之间的敌对关係
• 技术快照
  • 主要零件分析
  • 人工智能对半导体的影响
• 评估 COVID-19 对市场的影响

第 5 章市场细分

• 按类型
  • 解决方案
  • 服务
• 按部署
  • 本地
  • 云端
• 按最终用户
  • 製造
  • 汽车相关
  • BFSI
  • IT/通信行业
  • 媒体/广告
  • 其他最终用户
• 按地区
  • 北美
  • 欧洲
  • 亚太地区
  • 拉丁美洲
  • 中东和非洲

第 6 章竞争格局

• 公司简介
  • IBM Corporation
  • Oracle Corporation
  • Hewlett Packard Enterprise
  • Wipro Limited
  • Microsoft Corporation
  • Amazon Web Services
  • Google Inc.
  • Intel Corporation
  • SAP SE
  • Sentient Technologies
  • AiCure LLC
  • NEC Corporation
  • NVIDIA Corporation

第 7 章投资分析

第 8 章市场机会和未来趋势

Enterprise AI Market has registered a CAGR of 52.17 % during the forecast period. Enterprises are recognizing the value associated with incorporating artificial intelligence (AI) into their business processes, as they improve operational efficiency and reduce cost through automation of process flows.

Key Highlights

• Digitalization of enterprises is the most dominant trend in the market. The fourth industrial revolution (Industry 4.0) is characterized by a combination of physical and advanced digital technologies, such as the Internet of Things, artificial intelligence, intelligent robots, ubiquitous mobile supercomputing, information management, and analytics, which have a significant impact across various industries. The boom of industrial automation, with the widespread adoption of Industry 4.0, is driving the adoption of robots and automated technologies to enhance the efficiency of manufacturing processes.
• For instance, According to the Bank of America, the industrial robot segment of robotics and AI is expected to be valued at about USD 24 billion by 2025. This trend has augmented the use of robotic process automation (RPA) among enterprises, which is a significant aspect of AI.
• Enterprise AI is a significant enabler of digital transformation. Nearly every enterprise software application will be AI-enabled in the years to come. Developing competencies in the capability to build, deploy, and operate enterprise AI applications at scale, therefore, is becoming imperative for business survival.
• According to O'Reilly's 2022 report on enterprise AI adoption (based on the answers given by recipients of its newsletters to a questionnaire on enterprise AI adoption), 31% of companies report not using AI (up from 13% in 2021), 43% are evaluating adoption, and 26% have implemented AI applications. The primary increase, from 18% to 31%, of manufacturing respondents with AI was in Oceania. A considerable number of organizations lack AI governance. Of the 26% of respondents with AI products in production, only 49% have a governance plan to oversee how projects are created, measured, and observed (49%) versus 51% for those without.
• However, enterprise AI market manufacturers face enormous underlying intellectual challenges in creating and modifying such technology. The artificial intelligence market is mainly propelled by enhanced productivity, diversified applications, customer satisfaction, and extensive data integration.
• The COVID-19 pandemic caused many organizations to accelerate their migrations to public cloud solutions since cloud service elasticity can meet unexpected spikes in service demand. Migrations to the cloud helped companies reinvent the way they conduct their businesses in the time of COVID-19.​

Key Market Trends

Cloud Deployment is Expected to Experience a Faster Growth Rate

• The AI cloud, which was previously a concept, has now started to be implemented by enterprises, combining AI with cloud computing. Some of the significant factors driving it to include AI tools and software that deliver new, increased value to cloud computing, which is not only an economical option for data storage and computation but also plays a role in AI adoption. ​
• An AI cloud primarily consists of a shared infrastructure for AI use cases, supporting multiple projects and AI workloads simultaneously on cloud infrastructure at any given point in time. The AI cloud brings together AI hardware and software in order to deliver AI software-as-a-service on hybrid cloud infrastructure, providing organizations with access to AI and enabling them to harness AI capabilities more.​
• One of the most compelling advantages of AI in the cloud is the challenges it addresses. It significantly democratizes AI, making it more accessible. Lowering the adoption costs and facilitating co-creation and innovation are driving AI-powered transformation for enterprises.
• Organizations across the world are increasingly adopting cloud solutions. For instance, in December 2021, Kyndryl announced a strategic partnership with Google Cloud that would see the service provider develop a series of new digital transformation services with a specific emphasis on data analytics, machine learning, and AI. With Google Cloud, Kyndryl plans to expand its managed SAP services, develop a newer edge and data-centric applications, and help its largest financial customers accelerate their cloud migrations.
• In October 2021, Teradata, a connected multi-cloud data platform for an enterprise analytics company, and artificial intelligence cloud platform provider H2O.ai announced the integration of H2O AI Hybrid Cloud, the company's advanced AI platform, with Vantage, Teradata's multi-cloud data platform. The integration allows Teradata and H2O.ai's customers to quickly and easily make, deploy, and operate AI solutions that solve business problems and drive business value.

Europe is Expected to Hold a Significant Market Share in the Forecast Period

• The European region is witnessing increased demand due to mainstream trends, such as the industrial revolution and automation. The regional firms have been identified to invest in various automation technologies, such as robotics, artificial intelligence, etc., with developments in machine learning.
• The European Union introduced Artificial Intelligence Act in April 2021, which will come into effect from the beginning of 2023. the act will have a broad impact on the use of AI and machine learning for citizens and companies around the world. Initiatives like these are expected to boost the Enterprise AI market positively.
• According to Eurostat, In 2021, large enterprises will use AI more than small and medium enterprises. Due to the complexity of implementing AI technologies in an enterprise, it was witnessed that 28 % of large enterprises, 13 % of medium enterprises, and 6% of small enterprises used AI.
• Moreover, major regional players are investing and expanding their capabilities in the Enterprise AI market. For instance, in May 2022, Hewlett Packard Enterprise announced the launch of its new site in the Czech Republic to strengthen Europe's Supercomputer Supply Chain. The new factory will manufacture the company's custom-designed solutions to advance scientific research, mature AL/ML initiatives, and accelerate innovation.
• This rise in cognitive computing is expected to enable the replication of human sensory perception, deduction, thinking, learning, and decision-making capabilities across regional enterprises. The ability to harness considerable amounts of computing power is poised to take this paradigm beyond human replication, both in terms of speed and capacity, to distinguish patterns and provide potential solutions that individuals may not be equipped to perceive, thus augmenting the use of AI solutions.

Competitive Landscape

The competitive rivalry in the Enterprise AI Market is high due to many major players. Players like IBM, SAP SE, Hewlett Packard Enterprise, Google Inc., Microsoft Corporation, Oracle Corporation, and many more are trying to achieve maximum market share by designing new and innovative products for users. Their significant investments in research and Development, mergers & acquisitions, strategic expansion, funding, a strategic partnership, etc., have allowed them to gain a competitive advantage.

• October 2021 - Nvidia stated that with the latest updates to VMware vSphere with Tanzu, enterprises would now be able to run trials of their AI projects in conjunction with the NVIDIA AI Enterprise software suite. Launched in Aug 2021, NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics frameworks and tools optimized, certified, and supported by NVIDIA to enable rapid deployment, management, and scaling of AI/ML applications in the modern hybrid cloud.
• August 2021 - IBM announced the launch of its On-Chip accelerated artificial intelligence processor. It is designed to help customers achieve business insights at scale across banking, finance, trading, insurance applications, and customer interactions.

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 DYNAMICS

• 4.1 Market Overview
• 4.2 Introduction to Market Drivers and Restraints
• 4.3 Market Drivers
  • 4.3.1 Increasing Demand for Automation and AI-based Solutions
  • 4.3.2 Increasing Need to Analyze Exponentially Growing Data Sets
• 4.4 Market Restraints
  • 4.4.1 Sluggish Adoption Rates
• 4.5 Industry Attractiveness - Porter's Five Force Analysis
  • 4.5.1 Threat of New Entrants
  • 4.5.2 Bargaining Power of Buyers/Consumers
  • 4.5.3 Bargaining Power of Suppliers
  • 4.5.4 Threat of Substitute Products
  • 4.5.5 Intensity of Competitive Rivalry
• 4.6 Technology Snapshot
  • 4.6.1 Major Component Analysis
  • 4.6.2 Impact of AI on the Semicondu
• 4.7 Assessment of the impact of COVID-19 on the market

5 MARKET SEGMENTATION

• 5.1 By Type
  • 5.1.1 Solution
  • 5.1.2 Service
• 5.2 By Deployment
  • 5.2.1 On-premise
  • 5.2.2 Cloud
• 5.3 By End-user Industry
  • 5.3.1 Manufacturing
  • 5.3.2 Automotive
  • 5.3.3 BFSI
  • 5.3.4 IT and Telecommunication
  • 5.3.5 Media and Advertising
  • 5.3.6 Other End-user Industries
• 5.4 Geography
  • 5.4.1 North America
  • 5.4.2 Europe
  • 5.4.3 Asia-Pacific
  • 5.4.4 Latin America
  • 5.4.5 Middle East & Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Company Profiles
  • 6.1.1 IBM Corporation
  • 6.1.2 Oracle Corporation
  • 6.1.3 Hewlett Packard Enterprise
  • 6.1.4 Wipro Limited
  • 6.1.5 Microsoft Corporation
  • 6.1.6 Amazon Web Services
  • 6.1.7 Google Inc.
  • 6.1.8 Intel Corporation
  • 6.1.9 SAP SE
  • 6.1.10 Sentient Technologies
  • 6.1.11 AiCure LLC
  • 6.1.12 NEC Corporation
  • 6.1.13 NVIDIA Corporation

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS