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市场调查报告书
商品编码
1356757

云端人工智慧市场报告：2030 年趋势、预测与竞争分析

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个工作天内

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简介目录

云端人工智慧趋势和预测

预计到 2030 年，全球云端人工智慧市场将达到 3,618 亿美元，2024 年至 2030 年年复合成长率为 33.1%。该市场的关键促进因素是各企业越来越多地使用人工智慧和机器学习，可用的云端基础的人工智慧服务数量不断增加，交通管理、公共、公民服务、基于人​​工智慧的解决方案正在迅速被应用于资源等领域。最佳化。全球云端人工智慧市场的未来看起来充满希望，医疗保健、零售、BFSI、IT/通讯、政府、汽车和汽车/运输领域都有机会。

云端人工智慧市场洞察

Lucintel 预测，由于关键技术驱动产业越来越多地采用云端基础的人工智慧解决方案，解决方案将继续占据很大一部分。

由于北美地区拥有大量精通技术的人口、人工智慧和机器学习技术的早期采用行业以及主要企业的存在，预计北美地区将在预测期内实现最高的成长。

本报告回答了 11 个关键问题：

  • Q.1. 细分市场中最有前途和高成长的机会是什么？
  • Q.2.哪个细分市场将以更快的速度成长？为什么？
  • Q.3.您认为哪些地区未来会出现更快的成长？为什么？
  • Q.4. 影响市场动态的主要要素有哪些？市场的主要挑战和商业风险是什么？
  • Q.5. 这个市场的商业风险和竞争威胁是什么？
  • Q.6.这个市场有哪些新趋势？为什么？
  • Q.7.市场客户需求有何改变？
  • Q.8. 该市场有哪些新发展以及哪些公司处于领先地位？
  • Q.9.这个市场的主要企业有哪些？主要企业采取哪些策略配合措施来发展业务？
  • Q.10. 该市场上的竞争产品有哪些，由于材料或产品替代导致市场占有率下降的威胁有多大？
  • Q.11.过去年度发生了哪些併购事件，对产业产生了哪些影响？

目录

第1章执行摘要

第2章全球云端人工智慧市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业促进因素与挑战

第3章2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球云端人工智慧市场趋势（2018-2023）与预测（2024-2030）
  • 按类型分類的全球云端人工智慧市场
    • 解决方案
    • 服务
  • 按技术分類的全球云端人工智慧市场
    • 深度学习
    • 机器学习
    • 自然语言处理
    • 其他的
  • 按最终用途产业分類的全球云端人工智慧市场
    • 卫生保健
    • 零售
    • BFSI
    • 资讯科技/通讯
    • 政府
    • 製造业
    • 汽车和交通
    • 其他的

第4章2018-2030年分地区市场趋势及预测分析

  • 全球云端人工智慧市场按地区划分
  • 北美云端人工智慧市场
  • 欧洲云端人工智慧市场
  • 亚太云人工智慧市场
  • 其他区域云端人工智慧市场

第5章竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第6章成长机会与策略分析

  • 成长机会分析
    • 按类型分類的全球云端人工智慧市场成长机会
    • 全球云端人工智慧市场成长机会（按技术）
    • 最终用途产业的全球云端人工智慧市场成长机会
    • 全球云端人工智慧市场成长机会（按地区）
  • 全球云端AI市场新趋势
  • 战略分析
    • 新产品开发
    • 扩大全球云端人工智慧市场容量
    • 全球云端人工智慧收购与合资
    • 认证和许可

第7章主要企业概况

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

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