 | • レポートコード：B-MOR-08154 • 出版社/出版日：Mordor Intelligence / 2018年7月10日 • レポート形態：英文、PDF、110ページ • 納品方法：Eメール（受注後2営業日） • 産業分類：IT・通信 |
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レポート概要
| 本資料は、データサイエンスプラットフォームの世界市場について調べ、データサイエンスプラットフォームの世界規模、市場動向、市場環境、用途別（マーケティング、セールス、物流、運営、CRM、その他）分析、導入別（クラウドベース、オンプレミス）分析、サービス別分析、エンドユーザー産業別分析、アメリカ市場規模、ヨーロッパ市場規模、アジア市場規模、日本市場規模、中国市場規模、産業バリューチェーン分析、関連企業情報などをまとめた調査レポートです。 ・イントロダクション ・エグゼクティブサマリー ・データサイエンスプラットフォームの世界市場インサイト ・データサイエンスプラットフォームの世界市場環境 ・データサイエンスプラットフォームの世界市場動向 ・データサイエンスプラットフォームの世界市場規模 ・データサイエンスプラットフォームの世界市場規模：用途別（マーケティング、セールス、物流、運営、CRM、その他） ・データサイエンスプラットフォームの世界市場規模：導入別（クラウドベース、オンプレミス） ・データサイエンスプラットフォームの世界市場規模：サービス別 ・データサイエンスプラットフォームの世界市場規模：エンドユーザー産業別 ・データサイエンスプラットフォームの世界市場：地域別市場規模・分析 ・データサイエンスプラットフォームの北米市場規模・予測 ・データサイエンスプラットフォームのアメリカ市場規模・予測 ・データサイエンスプラットフォームのヨーロッパ市場規模・予測 ・データサイエンスプラットフォームのアジア市場規模・予測 ・データサイエンスプラットフォームの日本市場規模・予測 ・データサイエンスプラットフォームの中国市場規模・予測 ・データサイエンスプラットフォームのインド市場規模・予測 ・データサイエンスプラットフォームの韓国市場規模・予測 ・関連企業情報・競争状況 |
The data science platform market is expected to witness a CAGR of 31.49 %, over the forecast period (2018 – 2023). The scope of the report is limited to solutions offered by various market players from various end-user sectors including IT & Telecommunication, healthcare, BFSI, retail, manufacturing, logistics & transportation. The regions considered under the scope of the report include North America, Asia-Pacific, Europe, Latin America, and Middle East & Africa.
Data science platform implements real-time data streaming and with advanced data pipelines, which supports the redefine big data into different categories for actionable insights. The data science platform helps data scientists enhance their analysis by assisting them to run, track, reproduce, share and deploy analytical models faster. Usually, all these tasks require a lot of engineering effort and hassle to build and maintain analytical models, but a data science platform provides the extra power tools to speed up analysis, and ultimately the decision-making process. Moreover, this helps the organizations to prepare data, build models and operationalize analytics.
Healthcare Sector to Dominate the Market over the Forecast Period
The advancements in AI are revolutionizing healthcare and leading to breakthrough results in prediction and prevention. Recent advancements in computing power in AI technology across the data science platform have increased its potential to make health care professionals for diagnosing patients faster, more accurately, develop innovative new drugs, and treatments, reduce medical and diagnostic errors, predict adverse reactions, and lower the costs of healthcare delivery for both providers and patients.
North America to Appear as one of the Leading Region in the Data Science Platform Market
North America is expected to endure the largest share of the data science platform market, due to the presence of large operations, technical experts, and growing demands for data science platform in this region. The increasing demand for the public cloud with the adoption of artificial intelligence, along with explosive growth of the IoT applications and machine learning, revolution, and rise in demand data science platform in the North America region.
Notable Developments in Data Science Platform Market
• May 2018: H2O.ai, the open leader in AI commitment to AI in Healthcare with a new focused initiative. It has been dedicated to AI for good H2O.ai’s AI in Healthcare initiative to improve the quality of life for people around the globe through AI and machine learning (ML).
• November 2017: IBM integrates Watson Data Platform, including data cataloging and data refining, which is designed to make it easier for developers and data scientists to analyze and prepare enterprise data for AI applications, regardless of its structure or where it resides.
Major Players: GOOGLE INC, MICROSOFT CORPORATION, IBM CORPORATION, CLOUDERA INC., DATAIKU, RAPIDMINER INC, WOLFRAM RESEARCH, SAS INSTITUTE, INC., H2O.AI, TIBCO SOFTWARE INDIA PVT. LTD, DOMINO DATA LAB INC., ANACONDA INC, ALTERYX INC., TERADATA CORPORATION, WNS GLOBAL SERVICES PVT. LTD., KNIME AG, and BRIDGEI2I ANALYTICS SOLUTIONS PVT. LTD., amongst others.
Reasons to Purchase Data Science Platform Market Report
• To understand the impact of data science platform in the healthcare sector.
• Analyzing various perspectives of the market with the help of Porter’s five forces analysis
• To understand the dominating technology in the market
• The region that is expected to witness the fastest growth during the forecast period
• Identify the latest developments, market shares and strategies employed by the major market players
• 3 months analyst support along with the Market Estimate sheet (in Excel)
Customization of the Report
• This report can be customized to meet your requirements. Please connect with our representative, who will ensure you to get a report that suits your needs.
レポート目次1. Introduction
1.1 Key Study Deliverables
1.2 Market Definition
1.3 Study Assumptions
2. Research Methodology
3. Executive Summary
4. Data Science Platform Market Insights
4.1 Data Science Platform Market Overview
4.2 Porter’s Five Forces Analysis
4.2.1 Bargaining Power of Suppliers
4.2.2 Bargaining Power of Consumers
4.2.3 Threat of New Entrants
4.2.4 Threat of Substitute Products and Services
4.2.5 Competitive Rivalry in the Industry
4.3 Industry Value Chain Analysis
4.4 Industry Policies
5. Data Science Platform Market Dynamics
5.1 Data Science Platform Market Drivers
5.1.1 Advances in the Technology of Big Data in the Public Cloud Domain
5.1.2 Massive Increase in the Data in terms of Volume as well as Variety
5.1.3 Growing Demand of Data Science Tools
5.2 Data Science Platform Market Restraints
5.2.1 Huge Initial Investment Costs
5.2.2 Growing concerns of Data Security and Protection
5.2.3 Lack of Skilled Professionals
5.3 Data Science Platform Market Opportunities
5.3.1 Integration of Machine learning in Data Science Platform
6. Global Data Science Platform Market Segmentation
6.1 Data Science Platform Market By Application
6.1.1 Marketing
6.1.2 Sales
6.1.3 Logistics
6.1.4 Operation
6.1.5 CRM
6.1.6 Others
6.2 Data Science Platform Market By Deployment
6.2.1 Cloud-Based
6.2.2 On-premises
6.3 Data Science Platform Market By Service
6.3.1 Professional
6.3.2 Managed
6.4 Data Science Platform Market By End-User Industry
6.4.1 IT & Telecommunication
6.4.2 Healthcare
6.4.3 BFSI
6.4.4 Manufacturing
6.4.5 Logistic & Transportation
6.4.6 Retail
6.4.7 Others (Government & Defense, Energy & Utilities)
6.5 Data Science Platform Market By Region
6.5.1 North America
6.5.1.1 US
6.5.1.2 Canada
6.5.2 Europe
6.5.2.1 UK
6.5.2.2 Germany
6.5.2.3 France
6.5.2.4 Russia
6.5.2.5 Rest of Europe
6.5.3 Asia-Pacific
6.5.3.1 China
6.5.3.2 Japan
6.5.3.3 India
6.5.3.4 South Korea
6.5.3.5 Australia
6.5.3.6 Rest of Asia-Pacific
6.5.4 Latin America
6.5.4.1 Mexico
6.5.4.2 Brazil
6.5.4.3 Argentina
6.5.4.4 Rest of South America
6.5.5 Middle-East and Africa
6.5.5.1 UAE
6.5.5.2 Saudi Arabia
6.5.5.3 Southern Africa
6.5.5.4 Rest of Middle-East and Africa
7. Vendor Market Share
8. Competitive Intelligence – Company Profiles
8.1 Google, Inc
8.2 Microsoft Corporation
8.3 IBM Corporation
8.4 Cloudera, Inc.
8.5 Dataiku
8.6 RapidMiner, Inc
8.7 Wolfram Research
8.8 SAS Institute, Inc.
8.9 H2O.ai
8.10 TIBCO Software India Pvt. Ltd
8.11 Domino Data Lab, Inc.
8.12 Anaconda, Inc
8.13 Alteryx, Inc.
8.14 Teradata Corporation
8.15 WNS Global Services Pvt. Ltd.
8.16 KNIME AG
8.17 BRIDGEi2i Analytics Solutions Pvt. Ltd.
*(List Not Exhaustive)
9. Investment Analysis
9.1 Recent Mergers And Acquisitions
9.2 Investment Scenario And Opportunities
10. Future of Global Data Science Platform Market