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市場調查報告書
商品編碼
1356757

雲端人工智慧市場報告：2030 年趨勢、預測與競爭分析

Cloud AI Market Report: Trends, Forecast and Competitive Analysis to 2030
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

雲端人工智慧趨勢和預測

預計到 2030 年，全球雲端人工智慧市場將達到 3,618 億美元，2024 年至 2030 年年複合成長率為 33.1%。該市場的關鍵促進因素是各企業擴大使用人工智慧和機器學習，可用的雲端基礎的人工智慧服務數量不斷增加，交通管理、公共、公民服務、基於人​​工智慧的解決方案正在迅速被應用於資源等領域。最佳化。全球雲端人工智慧市場的未來看起來充滿希望，醫療保健、零售、BFSI、IT/通訊、政府、汽車和汽車/運輸領域都有機遇。

雲端人工智慧市場洞察

Lucintel 預測，由於關鍵技術驅動產業擴大採用雲端基礎的人工智慧解決方案，解決方案將繼續佔據很大一部分。

由於北美地區擁有大量精通技術的人口、人工智慧和機器學習技術的早期採用行業以及主要企業的存在，預計北美地區將在預測期內實現最高的成長。

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是什麼？
  • Q.2.哪個細分市場將以更快的速度成長？為什麼？
  • Q.3.您認為哪些地區未來會出現更快的成長？為什麼？
  • 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是什麼？
  • Q.6.這個市場有哪些新趨勢？為什麼？
  • 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？主要企業採取哪些策略配合措施來發展業務？
  • Q.10. 該市場上的競爭產品有哪些，由於材料或產品替代導致市場佔有率下降的威脅有多大？
  • Q.11.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 全球雲端人工智慧市場：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 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球雲端人工智慧市場趨勢（2018-2023）與預測（2024-2030）
  • 按類型分類的全球雲端人工智慧市場
    • 解決方案
    • 服務
  • 按技術分類的全球雲端人工智慧市場
    • 深度學習
    • 機器學習
    • 自然語言處理
    • 其他
  • 按最終用途產業分類的全球雲端人工智慧市場
    • 衛生保健
    • 零售
    • BFSI
    • 資訊科技/通訊
    • 政府
    • 製造業
    • 汽車和交通
    • 其他

第4章 2018-2030年分地區市場趨勢及預測分析

  • 全球雲端人工智慧市場按地區分類
  • 北美雲端人工智慧市場
  • 歐洲雲端人工智慧市場
  • 亞太雲人工智慧市場
  • 其他區域雲端人工智慧市場

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
    • 按類型分類的全球雲端人工智慧市場成長機會
    • 全球雲端人工智慧市場成長機會（按技術）
    • 最終用途產業的全球雲端人工智慧市場成長機會
    • 全球雲端人工智慧市場成長機會（按地區）
  • 全球雲端AI市場新趨勢
  • 戰略分析
    • 新產品開發
    • 擴大全球雲端人工智慧市場容量
    • 全球雲端人工智慧收購與合資
    • 認證和許可

第7章 主要企業概況

  • Apple
  • Google
  • IBM
  • Intel
  • Microsoft
  • MicroStrategy
  • NVIDIA
  • Oracle
  • Qlik Technologies
  • Salesforce.com
簡介目錄

Cloud AI Trends and Forecast

The future of the global cloud AI market looks promising with opportunities in the healthcare, retail, BFSI, IT and telecommunication, government, manufacturing, and automotive & transportation sectors. The global cloud AI market is expected to reach an estimated $361.8 billion by 2030 with a CAGR of 33.1% from 2024 to 2030. The major drivers for this market are increasing use of AI and machine learning among various corporations, increasing number of cloud-based AI services available, and rapid adoption of AI-based solutions in traffic management, public safety, citizen services, and resource optimization.

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

Cloud AI by Segment

The study includes a forecast for the global cloud AI by type, technology, end use industry, and region.

Cloud AI Market by Type [Shipment Analysis by Value from 2018 to 2030]:

  • Solution
  • Services

Cloud AI Market by Technology [Shipment Analysis by Value from 2018 to 2030]:

  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Others

Cloud AI Market by End Use Industry [Shipment Analysis by Value from 2018 to 2030]:

  • Healthcare
  • Retail
  • BFSI
  • IT and Telecommunication
  • Government
  • Manufacturing
  • Automotive and Transportation
  • Others

Cloud AI Market by Region [Shipment Analysis by Value from 2018 to 2030]:

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

List of Cloud AI 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 cloud AI companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the cloud AI companies profiled in this report include-

  • Apple
  • Google
  • IBM
  • Intel
  • Microsoft
  • MicroStrategy
  • NVIDIA
  • Oracle
  • Qlik Technologies
  • Salesforce.com

Cloud AI Market Insights

Lucintel forecasts that solution will remain the larger segment due to growing adoption of cloud-based AI solutions among major tech oriented industries.

North America is expected to witness highest growth over the forecast period due to availability of highly skilled tech savvy population, existence of early adopter industries for AI and machine learning technologies, and presence of key players in the region.

Features of the Global Cloud AI Market

Market Size Estimates: Cloud AI market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Cloud AI market size by type, technology, end use industry, and region. in terms of value ($B).

Regional Analysis: Cloud AI market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, technologies, end use industries, and region.s for the cloud AI market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the cloud AI market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q.1. What is the cloud AI market size?

Answer: The global cloud AI market is expected to reach an estimated $361.8 billion by 2030.

Q.2. What is the growth forecast for cloud AI market?

Answer: The global cloud AI market is expected to grow with a CAGR of 33.1% from 2024 to 2030.

Q.3. What are the major drivers influencing the growth of the cloud AI market?

Answer: The major drivers for this market are increasing use of AI and machine learning among various corporations, increasing number of cloud-based AI services available, and rapid adoption of AI-based solutions in traffic management, public safety, citizen services, and resource optimization.

Q.4. What are the major segments for cloud AI market?

Answer: The future of the cloud AI market looks promising with opportunities in the healthcare, retail, BFSI, IT and telecommunication, government, manufacturing, and automotive and transportation markets.

Q.5. Who are the key cloud AI market companies?

Answer: Some of the key cloud AI companies are as follows:

  • Apple
  • Google
  • IBM
  • Intel
  • Microsoft
  • MicroStrategy
  • NVIDIA
  • Oracle
  • Qlik Technologies
  • Salesforce.com

Q.6. Which cloud AI market segment will be the largest in future?

Answer: Lucintel forecasts that solution will remain the larger segment due to growing adoption of cloud-based AI solutions among major tech oriented industries.

Q.7. In cloud AI market, which region is expected to be the largest in next 5 years?

Answer: North America is expected to witness highest growth over the forecast period due to availability of highly skilled tech savvy population, existence of early adopter industries for AI and machine learning technologies, and presence of key players in the region.

Q.8. 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 cloud AI market by type (solution and services), technology (deep learning, machine learning, natural language processing, and others), end use industry (healthcare, retail, BFSI, IT and telecommunication, government, manufacturing, automotive and transportation, 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?
  • Q.10. 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?
  • Q.11. 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 Cloud AI 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 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global Cloud AI Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global Cloud AI Market by Type
    • 3.3.1: Solution
    • 3.3.2: Services
  • 3.4: Global Cloud AI Market by Technology
    • 3.4.1: Deep Learning
    • 3.4.2: Machine Learning
    • 3.4.3: Natural Language Processing
    • 3.4.4: Others
  • 3.5: Global Cloud AI Market by End Use Industry
    • 3.5.1: Healthcare
    • 3.5.2: Retail
    • 3.5.3: BFSI
    • 3.5.4: IT and Telecommunication
    • 3.5.5: Government
    • 3.5.6: Manufacturing
    • 3.5.7: Automotive and Transportation
    • 3.5.8: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global Cloud AI Market by Region
  • 4.2: North American Cloud AI Market
    • 4.2.3: North American Cloud AI Market by End Use Industry: Healthcare, Retail, BFSI, IT and Telecommunication, Government, Manufacturing, Automotive and Transportation, and Others
  • 4.3: European Cloud AI Market
    • 4.3.1: European Cloud AI Market by Type: Solution and Services
    • 4.3.3: European Cloud AI Market by End Use Industry: Healthcare, Retail, BFSI, IT and Telecommunication, Government, Manufacturing, Automotive and Transportation, and Others
  • 4.4: APAC Cloud AI Market
    • 4.4.1: APAC Cloud AI Market by Type: Solution and Services
    • 4.4.3: APAC Cloud AI Market by End Use Industry: Healthcare, Retail, BFSI, IT and Telecommunication, Government, Manufacturing, Automotive and Transportation, and Others
  • 4.5: ROW Cloud AI Market
    • 4.5.1: ROW Cloud AI Market by Type: Solution and Services
    • 4.5.3: ROW Cloud AI Market by End Use Industry: Healthcare, Retail, BFSI, IT and Telecommunication, Government, Manufacturing, Automotive and Transportation, 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 Cloud AI Market by Type
    • 6.1.2: Growth Opportunities for the Global Cloud AI Market by Technology
    • 6.1.3: Growth Opportunities for the Global Cloud AI Market by End Use Industry
    • 6.1.4: Growth Opportunities for the Global Cloud AI Market by Region
  • 6.2: Emerging Trends in the Global Cloud AI Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Cloud AI Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Cloud AI Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Apple
  • 7.2: Google
  • 7.3: IBM
  • 7.4: Intel
  • 7.5: Microsoft
  • 7.6: MicroStrategy
  • 7.7: NVIDIA
  • 7.8: Oracle
  • 7.9: Qlik Technologies
  • 7.10: Salesforce.com