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市場調査レポート
商品コード
1461483
自律型データプラットフォームの世界市場規模、シェア、成長分析、コンポーネント別、サービス別、展開別、企業別、最終用途別-産業予測、2024～2031年Global Autonomous Data Platform Market Size, Share, Growth Analysis, By Component, By Services, By Deployment, By Enterprise(Large Enterprise and Small and Medium Enterprise ), By End-use - Industry Forecast 2024-2031 |
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| 自律型データプラットフォームの世界市場規模、シェア、成長分析、コンポーネント別、サービス別、展開別、企業別、最終用途別-産業予測、2024～2031年 |
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出版日: 2024年04月02日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3～5営業日
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- 全表示
- 概要
- 目次
自律型データプラットフォームの世界市場規模は、2022年に12億8,000万米ドルと評価され、2023年の15億7,000万米ドルから2031年には82億5,000万米ドルに成長し、予測期間中（2024～2031年）のCAGRは23％で成長する展望です。
業界の成長は、人工知能（AI）や機械学習のような最先端技術の採用の高まりや、業界全体の自動化・デジタル化の拡大によって大きな影響を受けると予想されます。COVID-19パンデミックは市場に影響を与えており、その結果、パンデミック後の成長はおそらく妨げられると考えられます。というのも、企業は従業員をウイルス性疾患から守るために在宅勤務制度を導入しており、世界中からのCOVID-19感染率が高まっているからです。このため、多くの企業が、すべての業務を合理化し改善するために、自己完結型の情報システムソリューションに多大な投資を行っています。これらの要因は、急速に成長している自律型データプラットフォーム市場に影響を与えています。
目次
エグゼクティブサマリー
- 市場概要
- 繁栄と衰退
調査手法
- 情報調達
- 二次データソースと一次データソース
- 市場規模の推定
- 市場の危機と限界
親市場の分析
- 市場概要
- 市場規模
- 市場力学
- 促進要因
- 機会
- 抑制要因
- 課題
主要市場の考察
- 技術分析
- 価格分析
- サプライチェーン分析
- バリューチェーン分析
- 市場のエコシステム
- IP分析
- 貿易分析
- スタートアップ分析
- 原材料の分析
- イノベーションマトリクス
- パイプライン製品の分析
- マクロ経済指標
- 主要投資の分析
- 主要成功要因
- 競合の程度
市場力学と展望
- 市場力学
- 促進要因
- 機会
- 抑制要因
- 課題
- 規制情勢
- ポーターの分析
- 将来の混乱についての特別な考察
自律型データプラットフォームの世界市場：コンポーネント別
- 市場概要
- プラットホーム
- サービス
自律型データプラットフォームの世界市場：サービス別
- 市場概要
- アドバイス
- インテグレーション
- サポートとメンテナンス
自律型データプラットフォームの世界市場：展開別
- 市場概要
- オンプレミス
- クラウド
自律型データプラットフォームの世界市場：企業別
- 市場概要
- 大企業、中小企業（SME）
自律型データプラットフォームの世界市場：最終用途別
- 市場概要
- 英国
- 医療
- 小売り
- 製造業
- ITと通信
- 政府
- その他
自律型データプラットフォームの世界市場規模：地域別
- 市場概要
- 北米
- 米国
- カナダ
- 欧州
- ドイツ
- スペイン
- フランス
- 英国
- その他の欧州地域
- アジア太平洋
- 中国
- インド
- 日本
- 韓国
- その他のアジア太平洋
- ラテンアメリカ
- ブラジル
- その他のラテンアメリカ地域
- 中東・アフリカ
- GCC諸国
- 南アフリカ
- その他中東・アフリカ地域
競合情勢
- 上位5社の比較
- 主要企業の市場ポジショニング（2021年）
- 主要市場企業が採用した戦略
- 主要成功戦略
- 市場における最近の活動
- 主要企業の市場シェア（2021年）
主要企業プロファイル
- Cloudera
- Informatica
- Snowflake
- IBM
- Microsoft
- Oracle
- SAP
- Talend
- Teradata
- Alteryx
- Denodo Technologies
- AtScale
- Qlik
- TIBCO Software
- Databricks
- Palantir Technologies
- HPE（Hewlett Packard Enterprise）
- MapR Technologies
- Zaloni
- Paxata（DataRobotにより買収）
Global Autonomous Data Platform Market size was valued at USD 1.28 billion in 2022 and is poised to grow from USD 1.57 billion in 2023 to USD 8.25 billion by 2031, growing at a CAGR of 23% during the forecast period (2024-2031).
The industry's growth is expected to be significantly impacted by the rising adoption of cutting-edge technologies like artificial intelligence (AI) and machine learning, as well as the expanding automation and digitization across industries. The COVID-19 pandemic has affected the market, and as a result, growth is probably going to be hampered following the pandemic. This is because businesses are using work-from-home policies to safeguard their employees from viral illnesses, and the rate of COVID-19 transmission from around the world has increased. Because of this, a lot of companies have made significant investments in self-contained information system solutions in an effort to streamline and improve all business operations. These factors are having an impact on the rapidly growing market for autonomous data platforms.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Autonomous Data Platform Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Autonomous Data Platform Market Segmental Analysis
The global autonomous data platform market is segmented in terms of component, services, deployment, enterprise, end-use, and region. Based on component, the market is segmented into platform, and services. Based on services the market is segmented into advisory, integration, support & maintenance. With respect to segmentation by deployment, the market is segmented into on-premises, and cloud. Based on enterprise the market is segmented into large enterprise and small and medium enterprise (SME). Based on end-use the market is segmented into BFSI, Healthcare, Retail, Manufacturing, IT and Telecom, Government, and Others. Based on region the global Autonomous Data Platform Market is segmented into North America, Europe, Asia-Pacific, South America, and MEA.
Drivers of the Global Autonomous Data Platform Market
Organizations are finding it increasingly difficult to efficiently manage and integrate heterogeneous data sets due to the exponential expansion of data sources and formats. The complexity of data management procedures is decreased by autonomous data platforms, which offer automated solutions for data input, integration, and management.
Restraints in the Global Autonomous Data Platform Market
It can be difficult to integrate autonomous data platforms with current IT infrastructure and processes. Integration problems can arise from outdated systems, data silos, and incompatible technologies, which can cause delays and extra expenses. To fully utilize autonomous data platforms, enterprises must ensure seamless interaction with their current systems.
Market Trends of the Global Autonomous Data Platform Market
The adoption of cloud-based autonomous data platforms is on the rise. Businesses are using cloud infrastructure's scalability, flexibility, and affordability to handle and analyze massive amounts of data. Additionally, cloud-based solutions make AI and ML technologies more accessible, facilitating the quicker deployment and integration of autonomous capabilities.
Table of Contents
Executive Summary
- Market Overview
- Wheel of Fortune
Research Methodology
- Information Procurement
- Secondary & Primary Data Sources
- Market Size Estimation
- Market Assumptions & Limitations
Parent Market Analysis
- Market Overview
- Market Size
- Market Dynamics
- Drivers
- Opportunities
- Restraints
- Challenges
Key Market Insights
- Technology Analysis
- Pricing Analysis
- Supply Chain Analysis
- Value Chain Analysis
- Ecosystem of the Market
- IP Analysis
- Trade Analysis
- Startup Analysis
- Raw Material Analysis
- Innovation Matrix
- Pipeline Product Analysis
- Macroeconomic Indicators
- Top Investment Analysis
- Key Success Factor
- Degree of Competition
Market Dynamics & Outlook
- Market Dynamics
- Drivers
- Opportunities
- Restraints
- Challenges
- Regulatory Landscape
- Porters Analysis
- Competitive rivalry
- Threat of Substitute Products
- Bargaining Power of Buyers
- Threat of New Entrants
- Bargaining Power of Suppliers
- Skyquest Special Insights on Future Disruptions
- Political Impact
- Economic Impact
- Social Impact
- Technical Impact
- Environmental Impact
- Legal Impact
Global Autonomous Data Platform Market by Component
- Market Overview
- Platform
- and Services
Global Autonomous Data Platform Market by Services
- Market Overview
- Advisory
- Integration
- and Support & Maintenance
Global Autonomous Data Platform Market by Deployment
- Market Overview
- On-premises
- and Cloud
Global Autonomous Data Platform Market by Enterprise
- Market Overview
- Large Enterprise and Small and Medium Enterprise (SME)
Global Autonomous Data Platform Market by End-use
- Market Overview
- BFSI
- Healthcare
- Retail
- Manufacturing
- IT and Telecom
- Government
- and Others
Global Autonomous Data Platform Market Size by Region
- Market Overview
- North America
- USA
- Canada
- Europe
- Germany
- Spain
- France
- UK
- Rest of Europe
- Asia Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
- Latin America
- Brazil
- Rest of Latin America
- Middle East & Africa (MEA)
- GCC Countries
- South Africa
- Rest of MEA
Competitive Landscape
- Top 5 Player Comparison
- Market Positioning of Key Players, 2021
- Strategies Adopted by Key Market Players
- Top Winning Strategies
- By Development
- By Company
- By Year
- Recent Activities in the Market
- Key Companies Market Share (%), 2021
Key Company Profiles
- Cloudera
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Informatica
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Snowflake
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- IBM
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Microsoft
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Oracle
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- SAP
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Talend
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Teradata
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Alteryx
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Denodo Technologies
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- AtScale
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Qlik
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- TIBCO Software
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Databricks
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Palantir Technologies
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- HPE (Hewlett Packard Enterprise)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- MapR Technologies
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Zaloni
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Paxata (acquired by DataRobot)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
