サンプル依頼リスト カート
  • English
  • Korean
デフォルト表紙
市場調査レポート
商品コード
1356757

クラウドAI市場レポート：2030年までの動向、予測、競合分析

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

出版日
発行
Lucintel
ページ情報
英文 150 Pages
納期
3営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=141.96円

ご注意:　DRM (デジタル著作権管理システム) 付PDFになります。
制限内容は、上記ライセンスの[詳細]アイコンをクリックしてご確認ください。

クラウドAI市場レポート：2030年までの動向、予測、競合分析
出版日: 2023年09月01日
発行: Lucintel
ページ情報: 英文 150 Pages
納期: 3営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 目次
概要

クラウドAIの動向と予測

世界のクラウドAI市場は、2024年から2030年までのCAGRが33.1％で、2030年までに推定3,618億米ドルに達すると予測されています。この市場の主な促進要因は、さまざまな企業でAIや機械学習の利用が増加していること、利用可能なクラウドベースのAIサービスが増加していること、交通管理、公共安全、市民サービス、資源最適化などでAIベースのソリューションが急速に採用されていることです。世界のクラウドAI市場の将来は、ヘルスケア、小売、BFSI、IT・通信、政府、製造、自動車・運輸セクターにおけるビジネスチャンスで有望視されています。

クラウドAI市場の洞察

Lucintelの予測では、主要な技術指向産業でクラウドベースのAIソリューションの採用が拡大しているため、ソリューションが引き続き大きなセグメントとなります。

北米は、技術に精通した人々が多く、AIと機械学習技術のアーリーアダプター産業が存在し、主要企業が存在することから、予測期間中に最も高い成長が見込まれます。

本レポートでは、以下の11の主要な質問に回答している：

  • Q.1.市場セグメントのうち、最も有望かつ高成長な機会は何か？
  • Q.2.どのセグメントがより速いペースで成長するのか、またその理由は？
  • Q.3.今後成長が加速すると思われる地域とその理由は？
  • Q.4.市場力学に影響を与える主な要因は何か？市場における主な課題とビジネスリスクは？
  • Q.5.この市場におけるビジネスリスクと競合の脅威は？
  • Q.6.この市場における新たな動向とその理由は？
  • Q.7.市場における顧客の需要の変化にはどのようなものがありますか？
  • Q.8.この市場における新たな開発と、その開発をリードしている企業は？
  • Q.9.この市場における主要企業は？主要企業は事業成長のためにどのような戦略的取り組みを進めているのか？
  • Q.10.この市場における競合製品にはどのようなものがあり、材料や製品の代替による市場シェア低下の脅威はどの程度ありますか？
  • Q.11.過去5年間にどのようなM&Aが行われ、業界にどのような影響を与えましたか？

目次

第1章 エグゼクティブサマリー

第2章 世界のクラウド AI市場：市場力学

  • イントロダクション、背景、分類
  • サプライチェーン
  • 業界の促進要因と課題

第3章 2018年から2030年までの市場動向と予測分析

  • マクロ経済動向（2018～2023年）と予測（2024～2030年）
  • 世界のクラウド AI市場動向（2018～2023年）と予測（2024～2030年）
  • タイプ別の世界のクラウドAI市場
    • 解決
    • サービス
  • テクノロジー別の世界のクラウドAI市場
    • ディープラーニング
    • 機械学習
    • 自然言語処理
    • その他
  • エンドユース産業別の世界のクラウドAI市場
    • ヘルスケア
    • 小売り
    • BFSI
    • IT・通信
    • 政府
    • 製造業
    • 自動車と輸送
    • その他

第4章 2018年から2030年までの地域別の市場動向と予測分析

  • 地域別の世界のクラウドAI市場
  • 北米のクラウドAI市場
  • 欧州のクラウドAI市場
  • アジア太平洋クラウドAI市場
  • その他地域クラウドAI市場

第5章 競合の分析

  • 製品ポートフォリオ分析
  • 運用上の統合
  • ポーターのファイブフォース分析

第6章 成長機会と戦略的分析

  • 成長機会分析
    • タイプ別の世界のクラウドAI市場の成長機会
    • テクノロジー別の世界のクラウドAI市場の成長機会
    • エンドユース業界別の世界のクラウドAI市場の成長機会
    • 地域別の世界のクラウドAI市場の成長機会
  • 世界のクラウド AI市場の新たな動向
  • 戦略的分析
    • 新製品の開発
    • 世界のクラウドAI市場の能力拡大
    • 世界のクラウドAI市場における合併、買収、合弁事業
    • 認証とライセンシング

第7章 有力企業の企業プロファイル

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

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