企業人工智慧市場:趨勢、機會與競爭分析 [2023-2028]
市場調查報告書
商品編碼
1341997

企業人工智慧市場:趨勢、機會與競爭分析 [2023-2028]

Enterprise Artificial Intelligence Market: Trends, Opportunities and Competitive Analysis [2023-2028]

出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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簡介目錄

企業人工智慧市場趨勢與預測

預計到2028年,全球企業人工智慧市場將達到 584 億美元,2023年至2028年年複合成長率為 25.6%。該市場的主要促進因素是企業數位化的興起、部門自動化技術的不斷採用以及各行業對雲端基礎的服務的需求不斷成長。全球企業人工智慧市場的未來前景廣闊,媒體和廣告、零售、BFSI、IT和通訊、醫療保健和汽車市場都有商機。

企業人工智慧市場洞察

  • NLP由於以清晰、語法正確和自然結構的方式從文字中創建資訊和做出決策,企業廣泛應用,Lucintel 預計它將繼續成為預測期內成長最快的個細分市場。
  • 由於新興企業和雲端基礎的企業擴大使用人工智慧技術,IT 和通訊可能仍然是最大的細分市場。
  • 由於主要參與者的存在以及該地區中小企業和大型企業大量採用人工智慧技術,北美在預測期內可能仍然是最大的地區。

本報告回答了 11 個關鍵問題:

  • Q.1.細分市場中最有前途和高成長的機會為何?
  • Q.2.哪個細分市場將以更快的速度成長?理由為何?
  • Q.3.哪些地區未來會出現更快的成長?理由為何?
  • Q.4.影響市場動態的主要要素有哪些?市場的主要挑戰和商業風險是什麼?
  • Q.5.這個市場的商業風險和競爭威脅為何?
  • Q.6.這個市場有哪些新趨勢?理由為何?
  • Q.7.市場客戶需求有何改變?
  • Q.8.該市場有哪些新發展以及哪些公司處於領先地位?
  • Q.9.這個市場的主要企業有哪些?此外,主要企業採取什麼樣的策略配合措施?
  • Q10.該市場的競爭產品有哪些?因材料或產品替代而導致市場佔有率下降的威脅有多大?
  • Q11.過去年度發生了哪些併購事件,對產業產生了哪些影響?

目錄

第1章 執行摘要

第2章 全球企業人工智慧市場:市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2017-2028年市場趨勢及預測分析

  • 宏觀經濟趨勢(2017-2022)與預測(2023-2028)
  • 全球企業人工智慧市場趨勢(2017-2022)與預測(2023-2028)
  • 依部署類型分類的全球企業人工智慧市場
    • 雲端
    • 本地
  • 依技術分類的全球企業人工智慧市場
    • 自然語言處理(NLP)
    • 機器學習
    • 電腦視覺
    • 語音辨識
    • 其他
  • 依最終用途行業分類的全球企業人工智慧市場
    • 媒體與廣告
    • 零售
    • BFSI
    • 資訊科技與電信
    • 衛生保健
    • 汽車
    • 其他

第4章 2017-2028年分地區市場趨勢及預測分析

  • 依地區分類的企業人工智慧市場
  • 北美企業人工智慧市場
  • 歐洲企業人工智慧市場
  • 亞太企業人工智慧市場
  • 其他區域企業人工智慧市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 依部署類型分類的全球企業人工智慧市場成長機會
    • 依技術的全球企業人工智慧市場成長機會
    • 依最終用途產業分類的全球企業人工智慧市場成長機會
    • 依地區的全球企業人工智慧市場成長機會
  • 全球企業人工智慧市場的新興趨勢
  • 戰略分析
    • 新產品開發
    • 全球企業人工智慧市場產能擴張
    • 全球企業人工智慧市場的合併與收購
    • 認證和許可

第7章 主要企業概況

  • Amazon Web Services
  • IBM
  • Microsoft
  • Oracle
  • Intel
  • Alphabet
  • SAP SE
簡介目錄

Enterprise Artificial Intelligence Market Trends and Forecast

The future of the global enterprise artificial intelligence market looks promising with opportunities in the media & advertising, retail, BFSI, IT & telecom, healthcare, and automotive markets. The global enterprise artificial intelligence market is expected to reach an estimated $58.4 billion by 2028 with a CAGR of 25.6% from 2023 to 2028. The major drivers for this market are emergence of digitalization among enterprises, rising adoption of automated technologies among manufacturing units, and growing demand for cloud-based services across industries.

A more than 150-page report is developed to help in your business decisions.

Enterprise Artificial Intelligence Market by Segment

The study includes trends and forecast for the global enterprise artificial intelligence market by deployment type, technology, end use industry, and region.

Enterprise Artificial Intelligence Market by Deployment Type [Shipment Analysis by Value from 2017 to 2028]:

  • Cloud
  • On-Premises

Enterprise Artificial Intelligence Market by Technology [Shipment Analysis by Value from 2017 to 2028]:

  • Natural Language Processing (NLP)
  • Machine Learning
  • Computer Vision
  • Speech Recognition
  • Others

Enterprise Artificial Intelligence Market by End Use Industry [Shipment Analysis by Value from 2017 to 2028]:

  • Media & Advertising
  • Retail
  • BFSI
  • IT & Telecom
  • Healthcare
  • Automotive
  • Others

Enterprise Artificial Intelligence Market by Region [Shipment Analysis by Value from 2017 to 2028]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Enterprise Artificial Intelligence Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies, enterprise artificial intelligence companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the enterprise artificial intelligence companies profiled in this report include:

  • Amazon Web Services
  • IBM
  • Microsoft
  • Oracle
  • Intel
  • Alphabet
  • SAP SE

Enterprise Artificial Intelligence Market Insights

  • Lucintel forecasts that NLP will remain the highest growing segment over the forecast period due to its extensive application by enterprises to create and determine information from a text in a clear, grammatically correct, and naturally structured way.
  • IT & telecom will remain the largest segment due to increasing utilization of AI technology among emerging companies and cloud-based businesses.
  • North America will remain the largest region over the forecast period due to the presence of key players and significant adoption of AI technology in SMEs and large enterprises of the region.

Features of the Global Enterprise Artificial Intelligence Market

  • Market Size Estimates: Enterprise artificial intelligence market size estimation in terms of value ($B).
  • Trend and Forecast Analysis: Market trends (2017 to 2022) and forecast (2023 to 2028) by various segments and regions.
  • Segmentation Analysis: Enterprise artificial intelligence market size by various segments, such as by deployment type, technology, end use industry, and region in terms of value ($B).
  • Regional Analysis: Enterprise artificial intelligence market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
  • Growth Opportunities: Analysis of growth opportunities in different deployment type, technology, end use industry, and regions for the enterprise artificial intelligence Market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape of the enterprise artificial intelligence Market.
  • Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

  • Q1. What is the enterprise artificial intelligence Market size?
  • Answer: The global enterprise artificial intelligence market is expected to reach an estimated $58.4 billion by 2028.
  • Q2.What is the growth forecast for enterprise artificial intelligence Market?
  • Answer: The global enterprise artificial intelligence market is expected to grow with a CAGR of 25.6% from 2023 to 2028.
  • Q3.What are the major drivers influencing the growth of the enterprise artificial intelligence market?
  • Answer: The major drivers for this market are emergence of digitalization among enterprises rising adoption of automated technologies among manufacturing units growing demand for cloud-based services across industries
  • Q4. What are the major segments for enterprise artificial intelligence market?
  • Answer: The future of the enterprise artificial intelligence market looks promising with opportunities in the media & advertising, retail, BFSI, IT & telecom, healthcare, and automotive markets.
  • Q5. Who are the key enterprise artificial intelligence market companies?
  • Answer: Some of the key Enterprise Artificial Intelligence Market companies are as follows:
    • Amazon Web Services
    • IBM
    • Microsoft
    • Oracle
    • Intel
    • Alphabet
    • SAP SE
  • Q6. Which enterprise artificial intelligence market segment will be the largest in future?
  • Answer: Lucintel forecasts that NLP will remain the highest growing segment over the forecast period due to its extensive application by enterprises to create and determine information from a text in a clear, grammatically correct, and naturally structured way.
  • Q7. In enterprise artificial intelligence market, which region is expected to be the largest in next 5 years?
  • Answer: North America will remain the largest region over the forecast period due to the presence of key players and significant adoption of AI technology in SMEs and large enterprises of the region.
  • Q8.Do we receive customization in this report?
  • Answer: Yes, Lucintel provides 10% Customization Without any Additional Cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the global enterprise artificial intelligence market by deployment type (cloud and on-premises), technology (natural language processing, machine learning, computer vision, speech recognition, and others), end use industry (media & advertising, retail, BFSI, IT & telecom, healthcare, automotive, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Enterprise Artificial Intelligence Market: Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2017 to 2028

  • 3.1: Macroeconomic Trends (2017-2022) and Forecast (2023-2028)
  • 3.2: Global Enterprise Artificial Intelligence Market Trends (2017-2022) and Forecast (2023-2028)
  • 3.3: Global Enterprise Artificial Intelligence Market by Deployment Type
    • 3.3.1: Cloud
    • 3.3.2: On-Premises
  • 3.4: Global Enterprise Artificial Intelligence Market by Technology
    • 3.4.1: Natural Language Processing (NLP)
    • 3.4.2: Machine Learning
    • 3.4.3: Computer Vision
    • 3.4.4: Speech Recognition
    • 3.4.5: Others
  • 3.5: Global Enterprise Artificial Intelligence Market by End Use Industry
    • 3.5.1: Media & Advertising
    • 3.5.2: Retail
    • 3.5.3: BFSI
    • 3.5.4: IT & Telecom
    • 3.5.5: Healthcare
    • 3.5.6: Automotive
    • 3.5.7: Others

4. Market Trends and Forecast Analysis by Region from 2017 to 2028

  • 4.1: Enterprise Artificial Intelligence Market by Region
  • 4.2: North American Enterprise Artificial Intelligence Market
    • 4.2.1: North American Enterprise Artificial Intelligence Market by Deployment Type: Cloud and On-Premises
    • 4.2.2: North American Enterprise Artificial Intelligence Market by Technology: Natural Language Processing (NLP), Machine Learning, Computer Vision, and Speech Recognition, Others
  • 4.3: European Enterprise Artificial Intelligence Market
    • 4.3.1: European Enterprise Artificial Intelligence Market by Deployment Type: Cloud and On-Premises
    • 4.3.2: European Enterprise Artificial Intelligence Market by Technology: Natural Language Processing (NLP), Machine Learning, Computer Vision, Speech Recognition, and Others
  • 4.4: APAC Enterprise Artificial Intelligence Market
    • 4.4.1: APAC Enterprise Artificial Intelligence Market by Deployment Type: Cloud and On-Premises
    • 4.4.2: APAC Enterprise Artificial Intelligence Market by Technology: Natural Language Processing (NLP), Machine Learning, Computer Vision, Speech Recognition, and Others
  • 4.5: ROW Enterprise Artificial Intelligence Market
    • 4.5.1: ROW Enterprise Artificial Intelligence Market by Deployment Type: Cloud and On-Premises
    • 4.5.2: ROW Enterprise Artificial Intelligence Market by Technology: Natural Language Processing (NLP), Machine Learning, Computer Vision, Speech Recognition, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global Enterprise Artificial Intelligence Market by Deployment Type
    • 6.1.2: Growth Opportunities for the Global Enterprise Artificial Intelligence Market by Technology
    • 6.1.3: Growth Opportunities for the Global Enterprise Artificial Intelligence Market by End Use Industry
    • 6.1.4: Growth Opportunities for the Global Enterprise Artificial Intelligence Market by Region
  • 6.2: Emerging Trends in the Global Enterprise Artificial Intelligence Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Enterprise Artificial Intelligence Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Enterprise Artificial Intelligence Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Amazon Web Services
  • 7.2: IBM
  • 7.3: Microsoft
  • 7.4: Oracle
  • 7.5: Intel
  • 7.6: Alphabet
  • 7.7: SAP SE