企業 AI 市場 - 增長、趨勢、COVID-19 影響和預測（2022-2027 年）

企業人工智能市場在預測期內的複合年增長率為 52.17%。

企業認識到將人工智能 (AI) 融入其業務流程以通過自動化流程來提高運營效率和降低成本的價值。

主要亮點

• 企業數位化是市場的最主要趨勢。第四次工業革命（工業4.0）的特點是物聯網、人工智能、智能機器人、無處不在的移動超級計算、信息管理和分析等物理技術和先進數字技術相結合，預計將遍及各個行業. 影響很大由於與工業 4.0 的普及相關的工業自動化蓬勃發展，旨在提高製造過程效率的機器人和自動化技術的引入正在取得進展。
• 例如，根據美國銀行的數據，到 2025 年，機器人和人工智能工業機器人行業的價值預計將達到 240 億美元左右。這種趨勢正在增加企業中機器人過程自動化 (RPA) 的使用，這是人工智能的一個關鍵方面。
• 企業 AI 是數位化轉型的關鍵推動力。未來幾乎所有的企業軟件應用程序都將支持人工智能。因此，培養大規模構建、部署和運營企業 AI 應用程序的能力正成為企業生存的必要條件。
• 根據 O'Reilly 關於 2022 年企業 AI 採用情況的報告（時事通訊的收件人對企業 AI 採用情況的調查作出回應），31% 的公司沒有使用 AI（相比之下，2021 年為 13%），43 % 評估採用情況，26% 報告部署 AI 應用程序。大洋洲地區是採用人工智能的製造業受訪者數量從 18% 增加到 31% 的主要地區。大量組織缺乏人工智能治理。在生產人工智能產品的 26% 的受訪者中，49% 的人制定了監管計劃來監督項目的創建、衡量和觀察方式，而沒有的人則為 51%。
• 但是，企業 AI 市場的製造商在創建或修改此類技術時面臨著巨大的基礎智力挑戰。人工智能市場的主要驅動力是生產力的提高、應用程序的多樣化、客戶滿意度和廣泛的數據集成。
• COVID-19 大流行已導致許多組織加速遷移到公共雲端解決方案。因為雲端服務的彈性可以適應服務需求的意外高峰。遷移到雲端正在幫助公司在 COVID-19 大流行期間重塑他們的業務方式。

主要市場趨勢

預計雲端採用率將增長更快

• 人工智能雲端，曾經是一個概念，現在通過結合人工智能和雲，在企業中引入。推動這一趨勢的一個關鍵因素是人工智能工具和軟件，它們不僅為存儲和計算數據提供了經濟的選擇，而且還為雲計算增加了新的價值，這有助於引入人工智能。
• 人工智能雲主要由人工智能用例的共享基礎架構組成，在任何給定時間在雲基礎架構上同時支持多個項目和人工智能工作負載。 AI Cloud 將 AI 硬件和軟件結合在一起，在混合雲基礎架構上提供 AI 軟件即服務，讓組織能夠訪問 AI 並使他們能夠更好地利用其 AI 能力。
• 雲端 AI 最引人注目的優勢之一是它可以解決問題。它將從根本上使人工智能民主化並使其更容易獲得。降低安裝成本並促進共同創造和創新正在推動企業的人工智能轉型。
• 世界各地的組織都在採用雲解決方案。例如，2021 年 12 月，Kyndryl 宣布與 Google Cloud 建立戰略合作夥伴關係，透露該服務提供商將開發一套新的數字化轉型服務，特別關注數據分析、機器學習和人工智能。借助 Google Cloud，Kyndryl 計劃擴展其託管的 SAP 產品，開發更新的邊緣和以數據為中心的應用程序，並為其最大的金融客戶加速雲遷移。
• 2021 年 10 月，連接企業分析公司多雲數據平台的 Teradata 和提供人工智能雲平台的 H2O.ai 將加入公司先進的 AI 平台“H2O AI 混合雲”和 Teradata 的多-雲平台，宣布將整合雲數據平台“Vantage”。這種集成將使 Teradata 和 H2O.ai 客戶能夠快速輕鬆地構建、部署和運營人工智能解決方案，以解決業務問題並增加業務價值。

預計歐洲在預測期內將佔據較大的市場份額

• 由於工業革命和自動化等主流趨勢，歐洲地區的需求正在增加。隨著機器學習的發展，該地區的公司已確認投資於各種自動化技術，如機器人技術、人工智能。
• 歐盟將於 2021 年 4 月推出《人工智能法案》，該法案將於 2023 年初生效。該法律將對世界各地的公民和企業使用人工智能和機器學習產生深遠的影響。預計這些努力將積極推動企業人工智能市場。
• 根據歐盟統計局的數據，到 2021 年，大公司將比小企業更多地使用人工智能。由於企業部署人工智能技術的複雜性，28% 的大型企業、13% 的中型企業和 6% 的小型企業正在見證人工智能的使用。
• 此外，該地區的主要參與者正在投資並擴大其在企業 AI 市場的能力。例如，2022 年 5 月，惠普企業宣佈在捷克共和國開設新地點，以加強其歐洲超級計算機供應鏈。新工廠將生產公司定制設計的解決方案，以推進科學研究、成熟的 AL/ML 計劃和加速創新。
• 預計認知計算的興起將使在當地企業中復制人類感官感知、推理、思考、學習和決策能力成為可能。這種範式利用海量的計算能力，在速度和容量上都超越了人類的繁殖，識別了個人無法感知的模式並提供了潛在的解決方案，並擴大了人工智能解決方案的使用範圍。

競爭格局

企業人工智能市場的競爭由於主要參與者的數量，公司之間的競爭處於高水平。 IBM、SAP SE、Hewlett Packard Enterprise、Google Inc.、Microsoft Corporation 和 Oracle Corporation 等企業正在尋求通過為其用戶設計新的創新產品來獲得最大的市場份額。通過對研發、併購、戰略擴張、籌資和戰略合作夥伴關係的大量投資獲得競爭優勢。

• 2021 年 10 月 - Nvidia 表示，VMware vSphere with Tanzu 的最新更新將允許企業與 NVIDIA AI Enterprise 軟件套件一起運行 AI 項目試驗。 NVIDIA AI Enterprise 於 2021 年 8 月推出，是一個端到端的雲原生套件，包含經過優化、認證和支持的 AI 和數據分析框架和工具，可為現代混合雲中的 AI/ML 應用程序提供支持。
• 2021 年 8 月 - IBM 宣布推出片上加速人工智能處理器。它旨在幫助客戶在銀行、金融、貿易和保險應用程序以及客戶交互中實現大規模的業務洞察。

其他特典

• Excel 格式的市場預測 (ME) 表
• 3 個月的分析師支持

內容

第 1 章介紹

• 研究假設和市場定義
• 調查範圍

第 2 章研究方法

第 3 章執行摘要

第 4 章市場動態

• 市場概覽
• 市場促進因素和限制因素簡介
• 市場促進因素
  • 對自動化和基於 AI 的解決方案的需求不斷增加
  • 對呈指數增長的數據集的分析需求不斷增加
• 市場抑制因素
  • 介紹率低
• 行業吸引力 - 波特五力分析
  • 新進入者的威脅
  • 買方/消費者議價能力
  • 供應商的議價能力
  • 替代品的威脅
  • 競爭公司之間的敵對關係
• 技術快照
  • 主要零件分析
  • 人工智能對半導體的影響
• 評估 COVID-19 對市場的影響

第 5 章市場細分

• 按類型
  • 解決方案
  • 服務
• 按部署
  • 本地
  • 雲端
• 按最終用戶
  • 製造
  • 汽車相關
  • BFSI
  • IT/通信行業
  • 媒體/廣告
  • 其他最終用戶
• 按地區
  • 北美
  • 歐洲
  • 亞太地區
  • 拉丁美洲
  • 中東和非洲

第 6 章競爭格局

• 公司簡介
  • 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 章投資分析

第 8 章市場機會和未來趨勢

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