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시장보고서
상품코드
1733198
세계의 자율형 데이터 플랫폼 시장 규모 : 컴포넌트별, 업계별, 지역 범위별 및 예측Global Autonomous Data Platform Market Size By Component (Services, Platform, Integration), By Vertical (Retail, BFSI, Manufacturing), By Geographic Scope And Forecast |
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자율형 데이터 플랫폼 시장 규모 및 전망
자율 데이터 플랫폼 시장 규모는 2024년 19억 5,000만 달러로 평가되었고, 2026-2032년 22.10%의 연평균 복합 성장률(CAGR)로 성장하여 2032년에는 96억 3,000만 달러에 달할 것으로 예측됩니다.
기술 발전으로 인한 클라우드 기반 솔루션 채택 증가, 인지 컴퓨팅 기술 및 고급 분석의 채택 증가는 예측 기간 동안 자율 데이터 플랫폼 시장을 견인할 것으로 예측됩니다. 이 보고서는 세계 자율 데이터 플랫폼 시장에 대한 종합적인 평가를 제공합니다. 주요 부문, 동향, 시장 성장 촉진요인, 경쟁 환경, 시장에서 중요한 역할을 하는 요인 등을 종합적으로 분석합니다.
세계 자율형 데이터 플랫폼 시장의 정의
자율형 데이터 툴은 특정 고객의 빅데이터 인프라를 분석하여 기업의 중요한 문제를 해결하고 최적의 데이터베이스 활용을 보장합니다. 이는 인공지능(AI), 머신러닝(ML) 등 다양한 인지 컴퓨팅 플랫폼을 활용하여 스스로 관리하고 최적화하는 데이터 분석 플랫폼입니다.
휴리스틱과 머신러닝의 조합을 활용하여 통찰력, 실행 가능한 경고 및 권장 사항을 사용자에게 제공하여 높은 성능, 워크로드 연속성 및 비용 절감을 실현합니다. 운영 효율성을 높이고 프로세스를 용이하게 합니다. 구성 요소에 따라 시장은 지원 및 유지 보수, 서비스, 플랫폼, 통합, 자문으로 분류됩니다. 산업별로는 통신 미디어, 소매, 제조, 헬스케어 및 생명과학, 기타로 분류됩니다.
세계의 자율형 데이터 플랫폼 시장 개요
기술 발전으로 인한 클라우드 기반 솔루션의 채택 증가, 인지 컴퓨팅 기술 및 고급 분석의 채택 증가는 예측 기간 동안 자율 데이터 플랫폼 시장을 견인할 것으로 예측됩니다. 또한, 소셜 미디어 및 상호 연결된 기기의 사용 증가에 따른 비정형 데이터 증가는 향후 몇 년 동안 시장을 견인할 것으로 예측됩니다.
또한, 확장 가능하고 비정형화된 복잡한 데이터의 도입과 소매업체의 옴니채널 경험에 대한 수요 증가는 예측 기간 동안 시장을 활성화할 것으로 예측됩니다. 시장 성장을 저해하는 요인 및 과제들도 존재합니다. 숙련된 전문가 부족과 복잡한 분석 프로세스 등의 요인이 시장 성장을 저해하는 요인으로 작용할 가능성이 높습니다.
목차
제1장 세계의 자율형 데이터 플랫폼 시장 서론
- 시장 개요
- 조사 범위
- 전제조건
제2장 주요 요약
제3장 VERIFIED MARKET RESEARCH의 조사 방법
- 데이터 마이닝
- 밸리데이션
- 1차 자료
- 데이터 소스 리스트
제4장 세계의 자율형 데이터 플랫폼 시장 전망
- 개요
- 시장 역학
- 성장 촉진요인
- 성장 억제요인
- 기회
- Porter's Five Forces 모델
- 밸류체인 분석
제5장 세계의 자율형 데이터 플랫폼 시장 : 컴포넌트별
- 개요
- 지원 및 유지관리
- 서비스
- 플랫폼
- 통합
- 자문
제6장 세계의 자율형 데이터 플랫폼 시장 : 업계별
- 개요
- 통신 미디어
- 소매
- 은행, 금융서비스 및 보험(BFSI)
- 제조업
- 헬스케어 및 생명과학
- 기타
제7장 세계의 자율형 데이터 플랫폼 시장, 지역별
- 개요
- 북미
- 미국
- 캐나다
- 멕시코
- 유럽
- 독일
- 영국
- 프랑스
- 기타 유럽
- 아시아태평양
- 중국
- 일본
- 인도
- 기타 아시아태평양
- 기타
- 라틴아메리카
- 중동 및 아프리카
제8장 세계의 자율형 데이터 플랫폼 시장 경쟁 구도
- 개요
- 기업의 시장 순위
- 주요 개발 전략
제9장 기업 개요
- Oracle Corporation
- Teradata Corporation
- IBM Corporation
- Amazon Web Services, Inc.
- MapR
- Cloudera, Inc.
- Qubole, Inc.
- Ataccama Corporation
- Gemini Data, Inc.
- DvSum
제10장 주요 개발
- 제품 출시 및 개발
- 인수합병(M&A)
- 사업 확대
- 파트너십 및 제휴
제11장 부록
- 관련 조사
Autonomous Data Platform Market Size And Forecast
Autonomous Data Platform Market size was valued at USD 1.95 Billion in 2024 and is projected to reach USD 9.63 Billion by 2032, growing at a CAGR of 22.10 % from 2026 to 2032.
The increasing adoption of cloud-based solutions owing to technological advancement and the rising adoption of cognitive computing technology & advanced analytics are expected to drive the Autonomous Data Platform Market over the predicted years. The Global Autonomous Data Platform Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.
Global Autonomous Data Platform Market Definition
The autonomous data tool analyses a specific customer's big data infrastructure to address crucial company problems and ensure optimal database usage. It is a data and analytics platform that manages and optimizes itself by leveraging various cognitive computing platforms, such as Artificial Intelligence (AI), and Machine Learning (ML).
By making use of the combination of heuristics and machine learning, it serves insights, actionable alerts, and recommendations to the users, which results in ensuring high performance, workload continuity, and cost savings. It enhances operational efficiency and makes the process easier. Based on the component, the market is classified into Support & Maintenance, Services, Platform, Integration, and Advisory. Based on the vertical, the market is bifurcated into Telecommunication & Media, Retail, Manufacturing, Healthcare & Life Sciences, and Others.
Global Autonomous Data Platform Market Overview
The increasing adoption of cloud-based solutions owing to the advancement in technologies and the rising adoption of cognitive computing technology & advanced analytics are expected to drive the Autonomous Data Platform Market over the predicted years. Also, the growing volume of unstructured data with respect to the increasing utilization of social media & interconnected devices expects a boost to the market in the coming years.
Moreover, the introduction of expandable, unstructured, & complex data and the increasing demand for omnichannel experience from retailers are anticipated to fuel the market during the forecasted period. There are certain restraints and challenges faced which can hinder market growth. Factors such as the dearth of skilled professionals and complicated analytical processes are likely to act as market restraints.
Global Autonomous Data Platform Market: Segmentation Analysis
The Global Autonomous Data Platform Market is Segmented on the basis of Component, Vertical, And Geography.
Autonomous Data Platform Market, By Component
- Support and Maintenance
- Services
- Platform
- Integration
- Advisory
Based on Component, the market is bifurcated into Support & Maintenance, Services, Platform, Integration, and Advisory. A wide range of applications of the Autonomous Data Platform in various industry segments is expected to bolster the market demand in the coming years.
Autonomous Data Platform Market, By Vertical
- Telecommunication & Media
- Retail
- BFSI
- Manufacturing
- Healthcare and Life Sciences
- Others
Based on Vertical, the market is bifurcated into Telecommunication & Media, Retail, BFSI, Manufacturing, Healthcare & Life Sciences, and Others. BFSI segment is predicted to hold the most significant CAGR in the forecasted period due to the rapid adoption of the Autonomous Data Platform in this segment.
Autonomous Data Platform Market, By Geography
- North America
- Europe
- Asia Pacific
- Rest of the world
- On the basis of Regional Analysis, the Global Autonomous Data Platform Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. The largest share in the market will be dominated by Europe owing to the rise of inconsistent data generated across organizations in different European countries.
Key Players
The "Global Autonomous Data Platform Market" study report will provide valuable insight with an emphasis on the global market including some of the major players such as Oracle Corporation, Teradata Corporation, IBM Corporation, Amazon Web Services, Inc., MapR, Cloudera, Inc., Qubole, Inc, Ataccama Corporation, Gemini Data, Inc, DvSum.
Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.
Key Developments
- Partnerships, Collaborations, and Agreements
- Qubole, Inc. teamed up with Ascend.io, a data engineering firm, in 2020 to combine the world's most powerful data pipeline autonomous technology with the most comprehensive data lake platform. It enables data teams to construct self-service data pipelines 7x faster and with 95% less code, lowering infrastructure costs by 50% or more while improving data processing efficiency.
- June 2020 - Anaconda, Inc., the leading Python data science platform provider, and IBM Watson have announced a new partnership to enable enterprises to adopt AI open-source technology more easily. By collaborating, the two companies hope to boost innovation and overcome the AI and data science skills gap that many businesses are experiencing. The Anaconda Team Edition repository will be integrated with IBM Watson Studio on IBM Cloud Pak for Data, allowing businesses to better manage and accelerate the adoption of AI open-source technologies across any cloud.
- Product Launches and Product Expansions
- Qubole introduced a self-service platform in June 2019 for data scientists and engineers to construct AI, machine learning, and analytics processes on their preferred public cloud.
- MapR announced new MapR Data Platform innovations in April 2019, including new, deep integrations with Kubernetes key components for primary workloads on Spark and Drill. The platform was able to better manage extremely elastic workloads as a result of this innovation.
- Oracle launched a cloud-based data science platform in 2020, with Oracle Cloud Infrastructure Data Science at its heart. It allows users to train, manage, and create machine learning algorithms on the Oracle Cloud.
TABLE OF CONTENTS
1 INTRODUCTION OF GLOBAL AUTONOMOUS DATA PLATFORM MARKET
- 1.1 Overview of the Market
- 1.2 Scope of Report
- 1.3 Assumptions
2 EXECUTIVE SUMMARY
3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH
- 3.1 Data Mining
- 3.2 Validation
- 3.3 Primary Interviews
- 3.4 List of Data Sources
4 GLOBAL AUTONOMOUS DATA PLATFORM MARKET OUTLOOK
- 4.1 Overview
- 4.2 Market Dynamics
- 4.2.1 Drivers
- 4.2.2 Restraints
- 4.2.3 Opportunities
- 4.3 Porters Five Force Model
- 4.4 Value Chain Analysis
5 GLOBAL AUTONOMOUS DATA PLATFORM MARKET, BY COMPONENT
- 5.1 Overview
- 5.2 Support and Maintenance
- 5.3 Services
- 5.4 Platform
- 5.5 Integration
- 5.6 Advisory
6 GLOBAL AUTONOMOUS DATA PLATFORM MARKET, BY VERTICAL
- 6.1 Overview
- 6.2 Telecommunication & Media
- 6.3 Retail
- 6.4 BFSI
- 6.5 Manufacturing
- 6.6 Healthcare and Life Sciences
- 6.7 Others
7 GLOBAL AUTONOMOUS DATA PLATFORM MARKET, BY GEOGRAPHY
- 7.1 Overview
- 7.2 North America
- 7.2.1 U.S.
- 7.2.2 Canada
- 7.2.3 Mexico
- 7.3 Europe
- 7.3.1 Germany
- 7.3.2 U.K.
- 7.3.3 France
- 7.3.4 Rest of Europe
- 7.4 Asia Pacific
- 7.4.1 China
- 7.4.2 Japan
- 7.4.3 India
- 7.4.4 Rest of Asia Pacific
- 7.5 Rest of the World
- 7.5.1 Latin America
- 7.5.2 Middle East & Africa
8 GLOBAL AUTONOMOUS DATA PLATFORM MARKET COMPETITIVE LANDSCAPE
- 8.1 Overview
- 8.2 Company Market Ranking
- 8.3 Key Development Strategies
9 COMPANY PROFILES
- 9.1 Oracle Corporation
- 9.1.1 Overview
- 9.1.2 Financial Performance
- 9.1.3 Product Outlook
- 9.1.4 Key Developments
- 9.2 Teradata Corporation
- 9.2.1 Overview
- 9.2.2 Financial Performance
- 9.2.3 Product Outlook
- 9.2.4 Key Developments
- 9.3 IBM Corporation
- 9.3.1 Overview
- 9.3.2 Financial Performance
- 9.3.3 Product Outlook
- 9.3.4 Key Developments
- 9.4 Amazon Web Services, Inc.
- 9.4.1 Overview
- 9.4.2 Financial Performance
- 9.4.3 Product Outlook
- 9.4.4 Key Developments
- 9.5 MapR
- 9.5.1 Overview
- 9.5.2 Financial Performance
- 9.5.3 Product Outlook
- 9.5.4 Key Developments
- 9.6 Cloudera, Inc.
- 9.6.1 Overview
- 9.6.2 Financial Performance
- 9.6.3 Product Outlook
- 9.6.4 Key Developments
- 9.7 Qubole, Inc.
- 9.7.1 Overview
- 9.7.2 Financial Performance
- 9.7.3 Product Outlook
- 9.7.4 Key Developments
- 9.8 Ataccama Corporation
- 9.8.1 Overview
- 9.8.2 Financial Performance
- 9.8.3 Product Outlook
- 9.8.4 Key Developments
- 9.9 Gemini Data, Inc.
- 9.9.1 Overview
- 9.9.2 Financial Performance
- 9.9.3 Product Outlook
- 9.9.4 Key Developments
- 9.10 DvSum
- 9.10.1 Overview
- 9.10.2 Financial Performance
- 9.10.3 Product Outlook
- 9.10.4 Key Developments
10 KEY DEVELOPMENTS
- 10.1 Product Launches/Developments
- 10.2 Mergers and Acquisitions
- 10.3 Business Expansions
- 10.4 Partnerships and Collaborations
11 Appendix
- 11.1 Related Research
