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企業人工智能 (AI) 市場 - 2023-2028 年預測
市場調查報告書
商品編碼
1279623

企業人工智能 (AI) 市場 - 2023-2028 年預測

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個工作天內

價格
簡介目錄

企業人工智能市場預計到2028年將達到601.3億美元，複合年增長率為31.47%，較2021年的88.6億美元市場規模增長。 企業人工智能是商業軟件的一個細分領域，它採用人工智能軟件和技術來推動數位化轉型。 企業人工智能的大規模開發和部署需要新型的技術棧。 企業人工智能是公司將人工智能集成到其基礎設施中的過程，其複雜程度可與人類相媲美。 在許多行業，人工智能正在幫助企業提高競爭力。 企業人工智能平台可以自動化和優化業務運營的不同階段，通過提高效率消除某些步驟和費用。 企業人工智能解決方案可以處理大量數據，並以易於理解的界面呈現，供負責大型企業的個人和團體實際使用，最大限度地利用企業資源，進一步提高性。 企業人工智能為典型業務問題提供多種答案，提高員工生產力、降低成本並優化運營。 考慮到人工智能和其他技術解決方案正在滲透到各個行業的公司中，預計企業人工智能市場在預測期內將大幅擴張。

市場促進因素

公司生成的數據增加

企業及其客戶生成的數據的巨大進步催生了對在企業中使用人工智能技術的大數據分析解決方案的需求。 調查顯示，超過97%的公司正在積極投資人工智能解決方案和大數據管理軟件。 報告還顯示，公司生成的數據中約有 40% 得到了適度利用。 公司理想地利用數據來了解客戶偏好和痛點，以提高利潤率，改善所有運營部門的低效率，並減少運營中未使用的冗餘資源。此外，隨著向數據驅動的決策過程的轉變，對基於人工智能的軟件應用程序處理大量數據的需求不斷增加。

業務流程自動化需求不斷增長

由於減少了人為錯誤，提高了業務生產力並提高了準確性，從而促進了業務流程的自動化。 根據IBM 2022年全球AI採用指數研究，超過37%的AI軟件將用於自動化IT任務，27%將在大型企業中用於自動化工作流程程序和客戶關懷服務。 因此，企業生成和處理的數據量不斷增加，以及業務流程自動化需求不斷增長，正在推動企業人工智能產品的需求。

網路安全漏洞和數據集成威脅可能會減緩企業人工智能市場的擴張。

數據問題和網路安全漏洞的威脅正在限制所有公司廣泛採用企業人工智能。 將各個部門和系統集成在一個統一的系統下也增加了黑客攻擊和其他不道德活動的風險。 支持客戶自助服務的虛擬助理是人工智能系統的一個例子，它需要來自以前從未集成過的多個系統的數據。 消費者資訊、財務資訊、虛擬助理培訓和配置數據都可以存儲在不同的系統中。 人工智能需要數據集成，而企業迄今為止一直在避免這種情況。 對於通過收購發展並擁有許多來自不同時代的未連接系統的企業來說尤其如此。

在企業人工智能市場中，北美佔有很大份額，預計在預測期內將會增長。

北美在國際企業人工智能市場中佔有顯著份額。 北美頂級公司和品牌逐漸轉向數位化，正在推動運營和其他相關任務的自動化。 因此，對能夠在企業級提供人工智能驅動的軟件應用程序和服務的產品有著強烈的需求。 谷歌、亞馬遜等國際科技集團的入駐，以及近年來RisingMax、Suffescom Solutions Inc.、Western Stack、AlphaSense等新型人工智能應用開發初創公司的出現，進一步擴大了北美企業人工智能市場。 此外，北美國家有利的自由貿易協定將公司的客戶群擴大到國際水平，從而導致業務活動的擴大。 因此，需要企業人工智能解決方案來有效管理公司的業務。 因此，北美企業人工智能的市場規模預計在預測期內將會擴大。

內容

第 1 章簡介

  • 市場概覽
  • 市場定義
  • 調查範圍
  • 市場細分
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表

第 2 章研究方法

  • 調查數據
  • 調查設計

第 3 章執行摘要

  • 調查要點

第 4 章市場動態

  • 市場促進因素
  • 市場抑制因素
  • 波特五力分析
  • 行業價值鏈分析

第 5 章企業人工智能 (AI) 市場：按技術分類

  • 簡介
  • 機器學習
  • 語音識別
  • 自然語言處理
  • 圖像處理

第 6 章企業人工智能 (AI) 市場：按部署劃分

  • 簡介
  • 雲端
  • 本地

第 7 章企業人工智能 (AI) 市場：按公司規模劃分

  • 簡介
  • 大公司
  • 中小企業

第 8 章企業人工智能 (AI) 市場：按最終用戶劃分

  • 簡介
  • 汽車
  • BFSI
  • 通訊
  • 製造業
  • 零售
  • 其他

第 9 章企業人工智能 (AI) 市場：按地區

  • 簡介
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 意大利
    • 西班牙
    • 其他
  • 中東和非洲
    • 沙特阿拉伯
    • 阿拉伯聯合酋長國
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳大利亞
    • 新加坡
    • 印度尼西亞
    • 其他

第 10 章競爭格局與分析

  • 主要公司及戰略分析
  • 新興公司和市場盈利能力
  • 合併、收購、協議與合作
  • 供應商競爭力矩陣

第 11 章公司簡介

  • Intel Corporation
  • Amazon Web Services Inc.
  • Google LLC
  • Amelia US LLC
  • NVIDIA Corporation
  • SAP SE
  • Wipro Limited
  • Verint Systems
  • IBM Corporation
  • Oracle Corporation
簡介目錄
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