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企业人工智能 (AI) 市场 - 2023-2028 年预测
市场调查报告书
商品编码
1279623

企业人工智能 (AI) 市场 - 2023-2028 年预测

Enterprise Artificial Intelligence (AI) Market - Forecasts from 2023 to 2028
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 148 Pages | 商品交期: 最快1-2个工作天内

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简介目录

企业人工智能市场预计到2028年将达到601.3亿美元，复合年增长率为31.47%，较2021年的88.6亿美元市场规模增长。 企业人工智能是商业软件的一个细分领域，它采用人工智能软件和技术来推动数位化转型。 企业人工智能的大规模开发和部署需要新型的技术栈。 企业人工智能是公司将人工智能集成到其基础设施中的过程，其复杂程度可与人类相媲美。 在许多行业，人工智能正在帮助企业提高竞争力。 企业人工智能平台可以自动化和优化业务运营的不同阶段，通过提高效率消除某些步骤和费用。 企业人工智能解决方案可以处理大量数据，并以易于理解的界面呈现，供负责大型企业的个人和团体实际使用，最大限度地利用企业资源，进一步提高性。 企业人工智能为典型业务问题提供多种答案，提高员工生产力、降低成本并优化运营。 考虑到人工智能和其他技术解决方案正在渗透到各个行业的公司中，预计企业人工智能市场在预测期内将大幅扩张。

市场促进因素

公司生成的数据增加

企业及其客户生成的数据的巨大进步催生了对在企业中使用人工智能技术的大数据分析解决方案的需求。 调查显示，超过97%的公司正在积极投资人工智能解决方案和大数据管理软件。 报告还显示，公司生成的数据中约有 40% 得到了适度利用。 公司理想地利用数据来了解客户偏好和痛点，以提高利润率，改善所有运营部门的低效率，并减少运营中未使用的冗余资源。此外，随着向数据驱动的决策过程的转变，对基于人工智能的软件应用程序处理大量数据的需求不断增加。

业务流程自动化需求不断增长

由于减少了人为错误，提高了业务生产力并提高了准确性，从而促进了业务流程的自动化。 根据IBM 2022年全球AI采用指数研究，超过37%的AI软件将用于自动化IT任务，27%将在大型企业中用于自动化工作流程程序和客户关怀服务。 因此，企业生成和处理的数据量不断增加，以及业务流程自动化需求不断增长，正在推动企业人工智能产品的需求。

网路安全漏洞和数据集成威胁可能会减缓企业人工智能市场的扩张。

数据问题和网路安全漏洞的威胁正在限制所有公司广泛采用企业人工智能。 将各个部门和系统集成在一个统一的系统下也增加了黑客攻击和其他不道德活动的风险。 支持客户自助服务的虚拟助理是人工智能系统的一个例子，它需要来自以前从未集成过的多个系统的数据。 消费者资讯、财务资讯、虚拟助理培训和配置数据都可以存储在不同的系统中。 人工智能需要数据集成，而企业迄今为止一直在避免这种情况。 对于通过收购发展并拥有许多来自不同时代的未连接系统的企业来说尤其如此。

在企业人工智能市场中，北美占有很大份额，预计在预测期内将会增长。

北美在国际企业人工智能市场中占有显着份额。 北美顶级公司和品牌逐渐转向数位化，正在推动运营和其他相关任务的自动化。 因此，对能够在企业级提供人工智能驱动的软件应用程序和服务的产品有着强烈的需求。 谷歌、亚马逊等国际科技集团的入驻，以及近年来RisingMax、Suffescom Solutions Inc.、Western Stack、AlphaSense等新型人工智能应用开发初创公司的出现，进一步扩大了北美企业人工智能市场。 此外，北美国家有利的自由贸易协定将公司的客户群扩大到国际水平，从而导致业务活动的扩大。 因此，需要企业人工智能解决方案来有效管理公司的业务。 因此，北美企业人工智能的市场规模预计在预测期内将会扩大。

内容

第 1 章简介

  • 市场概览
  • 市场定义
  • 调查范围
  • 市场细分
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第 2 章研究方法

  • 调查数据
  • 调查设计

第 3 章执行摘要

  • 调查要点

第 4 章市场动态

  • 市场促进因素
  • 市场抑制因素
  • 波特五力分析
  • 行业价值链分析

第 5 章企业人工智能 (AI) 市场：按技术分类

  • 简介
  • 机器学习
  • 语音识别
  • 自然语言处理
  • 图像处理

第 6 章企业人工智能 (AI) 市场：按部署划分

  • 简介
  • 云端
  • 本地

第 7 章企业人工智能 (AI) 市场：按公司规模划分

  • 简介
  • 大公司
  • 中小企业

第 8 章企业人工智能 (AI) 市场：按最终用户划分

  • 简介
  • 汽车
  • BFSI
  • 通讯
  • 製造业
  • 零售
  • 其他

第 9 章企业人工智能 (AI) 市场：按地区

  • 简介
  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 意大利
    • 西班牙
    • 其他
  • 中东和非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 其他
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳大利亚
    • 新加坡
    • 印度尼西亚
    • 其他

第 10 章竞争格局与分析

  • 主要公司及战略分析
  • 新兴公司和市场盈利能力
  • 合併、收购、协议与合作
  • 供应商竞争力矩阵

第 11 章公司简介

  • Intel Corporation
  • Amazon Web Services Inc.
  • Google LLC
  • Amelia US LLC
  • NVIDIA Corporation
  • SAP SE
  • Wipro Limited
  • Verint Systems
  • IBM Corporation
  • Oracle Corporation
简介目录
Product Code: KSI061614873

Enterprise AI market is expected to grow at a CAGR of 31.47% from a market size of US$8.86 billion in 2021 to reach US$60.13 billion in 2028. Enterprise AI is a sub-division of business software that employs AI software and methods to promote digital transformation. A new type of technological stack is needed for the large-scale development and deployment of enterprise AI. Enterprise AI is the process through which a company integrates artificial intelligence into its infrastructure at a level of sophistication that is equal to human capabilities. In many industries, artificial intelligence is assisting businesses in gaining a competitive edge. An enterprise AI platform can automate and optimize various stages of business operations and eliminate certain steps or expenses through efficiency. Enterprise AI solutions advance the potential of maximum utilization of the resources of an enterprise further by processing enormous amounts of data and displaying it in straightforward interfaces for practical use by the individuals and groups in charge of large-scale enterprises. Enterprise AI offers a variety of answers to typical operational problems, while increasing staff productivity, cutting costs, and optimizing business operations. Considering the penetration of AI and other technological solutions across enterprises in different industries, it can be anticipated that the enterprise AI market will expand significantly over the forecast period.

Market Drivers

The increase in data generated by companies

The massive advancement in the data generated by companies and their customers is resulting in the need for big data analytics solutions using AI technology in enterprises. According to research, it was revealed that more than 97% of business enterprises are actively investing in AI solutions and big data management software. In addition, it was demonstrated that only a medium portion of around 40% of the data generated by an enterprise is being effectively utilized. The ideal utilization of data by an enterprise could assist in increasing profit margins by understanding the customers' preferences and problems, the inefficiencies in any working departments, and the reduction in excess resources being unused in the business operations. In addition to this, the recent shift to data-driven decision-making processes is creating a higher level of demand for AI-based software applications to process the vast amount of data.

Growing demand for automating business processes

The automation of company processes is encouraged by the increase in operational productivity of business tasks and the improvement in accuracy levels owing to the decrease in human errors. According to IBM's Global AI Adoption Index research from 2022, more than 37% of AI software is used to automate IT operations, while 27% of AI software applications are used by large enterprises to automate business workflow procedures and customer care services. Therefore, the increase in the volume of data generated and processed by companies and the growing demand for automating business processes are driving the demand for enterprise AI products.

The threat of cybersecurity vulnerabilities and data integration could slow down the expansion of the enterprise AI market.

The data issues and the threat of violation of cybersecurity are restraining the extensive adoption of enterprise AI by all companies. In addition, the integration of various departments and systems under a unified system increases the risk of hacking and other unethical activities. Virtual assistants that enable client self-service are one example of an AI system that needs data from several systems that may never have been merged previously. Consumer information, financial information, and virtual assistant training and configuration data may all be stored in different systems. AI makes data integration necessary, which a corporation may have avoided up until now. This can be particularly difficult in a business that has developed through acquisition and retains numerous, unconnected systems from various periods.

Market Developments

  • In March 2023, Alpha Metaverse Technologies Inc. announced that it has entered into a contract with The Brand Label, a prominent fashion enterprise operating in multiple nations to create a metaverse platform to enhance the customer experience and virtual display setting of the enterprise.
  • In January 2023, C3 AI, a company specializing in the manufacture of enterprise AI solutions introduced its new product line C3 Generative AI by launching a new search product that enables enterprises to search for specific data across all the information systems of the enterprise.
  • In March 2023, Tata Consultancy Services introduced its Cognitive Plant Operations Adviser product, an AI solution that utilizes 5G internet on a Microsoft Azure platform to assist pharmaceutical, FMCG, and other manufacturing industries to help to make automated decisions in plant production processes.

North America has a significant share of the enterprise AI market and is expected to grow in the forecast period.

North America contributes a prominent share of the international enterprise AI market. The automation of business operations and other associated tasks is encouraged by the gradual transition of top firms and brands in North America towards digitalization. As a result, there is a huge demand for products providing access to software applications and services utilizing artificial intelligence at the enterprise level. The presence of international technology conglomerates such as Google and Amazon and the emergence of new AI application development startups over the last few years such as RisingMax, Suffescom Solutions Inc., Western Stack, and AlphaSense are further widening the expansion of the enterprise AI market in North America. In addition, the favorable free trade agreements of the North American countries are expanding the customer base of business enterprises to an international level resulting in an expansion in their business operations. Consequentially, enterprise AI solutions are required to ensure the effective management of an enterprise's business. Hence, the market size of North American enterprise AI is anticipated to expand over the forecast period.

Market Segmentation

By Technology

  • Machine Learning
  • Speech Recognition
  • Natural Language Processing
  • Image Processing

By Deployment

  • Cloud
  • On-premise

By Enterprise Size

  • Large Enterprises
  • SMEs

By End-User

  • Automotives
  • BFSI
  • Telecommunication
  • Manufacturing
  • Retail
  • Others

By Geography

  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Singapore
    • Indonesia
    • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Research Design

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Machine Learning
  • 5.3. Speech Recognition
  • 5.4. Natural Language Processing
  • 5.5. Image Processing

6. ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET BY DEPLOYMENT

  • 6.1. Introduction
  • 6.2. Cloud
  • 6.3. On-premise

7. ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET BY ENTERPRISE SIZE

  • 7.1. Introduction
  • 7.2. Large Enterprises
  • 7.3. SMEs

8. ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET BY END-USER

  • 8.1. Introduction
  • 8.2. Automotive
  • 8.3. BFSI
  • 8.4. Telecommunication
  • 8.5. Manufacturing
  • 8.6. Retail
  • 8.7. Others

9. ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. USA
    • 9.2.2. Canada
    • 9.2.3. Mexico
  • 9.3. South America
    • 9.3.1. Brazil
    • 9.3.2. Argentina
    • 9.3.3. Others
  • 9.4. Europe
    • 9.4.1. United Kingdom
    • 9.4.2. Germany
    • 9.4.3. France
    • 9.4.4. Italy
    • 9.4.5. Spain
    • 9.4.6. Others
  • 9.5. Middle East and Africa
    • 9.5.1. Saudi Arabia
    • 9.5.2. UAE
    • 9.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. China
    • 9.6.2. Japan
    • 9.6.3. India
    • 9.6.4. South Korea
    • 9.6.5. Australia
    • 9.6.6. Singapore
    • 9.6.7. Indonesia
    • 9.6.8. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Emerging Players and Market Lucrativeness
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Vendor Competitiveness Matrix

11. COMPANY PROFILES

  • 11.1. Intel Corporation
  • 11.2. Amazon Web Services Inc.
  • 11.3. Google LLC
  • 11.4. Amelia US LLC
  • 11.5. NVIDIA Corporation
  • 11.6. SAP SE
  • 11.7. Wipro Limited
  • 11.8. Verint Systems
  • 11.9. IBM Corporation
  • 11.10. Oracle Corporation