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レポート概要
| 360iResearch社の当調査レポートでは、世界のインメモリーデータグリッド（IMDG）市場規模が2021年に2,020.68百万ドル、2022年に2,321.36百万ドルとなり、その後2027年までにCAGR 15.13％で成長して4,706.97百万ドルに達すると予測しています。当書は、インメモリーデータグリッド（IMDG）の世界市場を対象とした調査・分析結果をまとめたものであり、序論、調査方法、エグゼクティブサマリー、市場概要、市場インサイト、コンポーネント別分析（サービス、ソリューション）、産業別分析（航空宇宙・防衛、自動車・輸送、金融、建築・建設・不動産、消費財・小売）、展開別分析（オンクラウド、オンプレミス）、用途別分析（不正行為・リスク管理、販売・マーケティング最適化、サプライチェーン最適化、取引処理）、地域別分析（南北アメリカ、アメリカ、カナダ、ブラジル、アジア太平洋、日本、中国、インド、韓国、台湾、ヨーロッパ/中東/アフリカ、イギリス、ドイツ、フランス、ロシア、その他）、競争状況、企業情報などの内容を掲載しています。また、当書には、Alachisoft、Apache Ignite、Ehcache、Gigaspaces、Gridgain Systems、Hazelcast、Hitachi、IBM、Infinispan、Kinetica DB Inc.、Oracle、Pivotal、Red Hat、Redis Labs、Scale Out Software、SingleStore, Inc.、Software AG、Splice Machineなどの企業情報が含まれています。 ・序論 ・調査方法 ・エグゼクティブサマリー ・市場概要 ・市場インサイト ・世界のインメモリーデータグリッド（IMDG）市場規模：コンポーネント別 - サービスの市場規模 - ソリューションの市場規模 ・世界のインメモリーデータグリッド（IMDG）市場規模：産業別 - 航空宇宙・防衛における市場規模 - 自動車・輸送における市場規模 - 金融における市場規模 - 建築・建設・不動産における市場規模 - 消費財・小売における市場規模 ・世界のインメモリーデータグリッド（IMDG）市場規模：展開別 - オンクラウドの市場規模 - オンプレミスの市場規模 ・世界のインメモリーデータグリッド（IMDG）市場規模：用途別 - 不正行為・リスク管理における市場規模 - 販売・マーケティング最適化における市場規模 - サプライチェーン最適化における市場規模 - 取引処理における市場規模 ・世界のインメモリーデータグリッド（IMDG）市場規模：地域別 - 南北アメリカのインメモリーデータグリッド（IMDG）市場規模 アメリカのインメモリーデータグリッド（IMDG）市場規模 カナダのインメモリーデータグリッド（IMDG）市場規模 ブラジルのインメモリーデータグリッド（IMDG）市場規模 ... - アジア太平洋のインメモリーデータグリッド（IMDG）市場規模 日本のインメモリーデータグリッド（IMDG）市場規模 中国のインメモリーデータグリッド（IMDG）市場規模 インドのインメモリーデータグリッド（IMDG）市場規模 韓国のインメモリーデータグリッド（IMDG）市場規模 台湾のインメモリーデータグリッド（IMDG）市場規模 ... - ヨーロッパ/中東/アフリカのインメモリーデータグリッド（IMDG）市場規模 イギリスのインメモリーデータグリッド（IMDG）市場規模 ドイツのインメモリーデータグリッド（IMDG）市場規模 フランスのインメモリーデータグリッド（IMDG）市場規模 ロシアのインメモリーデータグリッド（IMDG）市場規模 ... - その他地域のインメモリーデータグリッド（IMDG）市場規模 ・競争状況 ・企業情報 |
The Global In-Memory Data Grid Market size was estimated at USD 2,020.68 million in 2021 and expected to reach USD 2,321.36 million in 2022, and is projected to grow at a CAGR 15.13% to reach USD 4,706.97 million by 2027.
Market Statistics:
The report provides market sizing and forecast across 7 major currencies – USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.
Market Segmentation & Coverage:
This research report categorizes the In-Memory Data Grid to forecast the revenues and analyze the trends in each of the following sub-markets:
Based on Component, the market was studied across Services and Solutions.
Based on Industry, the market was studied across Aerospace & Defense, Automotive & Transportation, Banking, Financial Services & Insurance, Building, Construction & Real Estate, Consumer Goods & Retail, Education, Energy & Utilities, Government & Public Sector, Healthcare & Life Sciences, Information Technology, Manufacturing, Media & Entertainment, Telecommunication, and Travel & Hospitality.
Based on Deployment, the market was studied across On Cloud and On-Premises.
Based on Application, the market was studied across Fraud & Risk Management, Sales & Marketing Optimization, Supply Chain Optimization, and Transaction Processing.
Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.
Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.
Cumulative Impact of 2022 Russia Ukraine Conflict:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for In-Memory Data Grid market considering the current update on the conflict and its global response.
Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.
FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the In-Memory Data Grid Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.
Market Share Analysis:
The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.
Competitive Scenario:
The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.
Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global In-Memory Data Grid Market, including Alachisoft, Apache Ignite, Ehcache, Gigaspaces, Gridgain Systems, Hazelcast, Hitachi, IBM, Infinispan, Kinetica DB Inc., Oracle, Pivotal, Red Hat, Redis Labs, Scale Out Software, SingleStore, Inc., Software AG, Splice Machine, Tibco Software, and Tmaxsoft.
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
The report answers questions such as:
1. What is the market size and forecast of the Global In-Memory Data Grid Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global In-Memory Data Grid Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global In-Memory Data Grid Market?
4. What is the competitive strategic window for opportunities in the Global In-Memory Data Grid Market?
5. What are the technology trends and regulatory frameworks in the Global In-Memory Data Grid Market?
6. What is the market share of the leading vendors in the Global In-Memory Data Grid Market?
7. What modes and strategic moves are considered suitable for entering the Global In-Memory Data Grid Market?
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Need for core capabilities of in memory architecture
5.1.1.2. Improvement in the performance of the analytical application
5.1.1.3. Increasing use of a distributed architecture to enhance limited storage capacity
5.1.2. Restraints
5.1.2.1. Components failure can result in loss of data
5.1.3. Opportunities
5.1.3.1. Rising demand for social media, cloud, and Internet of Things (IoT)
5.1.3.2. Need for fraud & risk management
5.1.3.3. Growing demand for real-time data processing
5.1.4. Challenges
5.1.4.1. Maintenance of security data
5.2. Cumulative Impact of COVID-19
6. In-Memory Data Grid Market, by Component
6.1. Introduction
6.2. Services
6.3. Solutions
7. In-Memory Data Grid Market, by Industry
7.1. Introduction
7.2. Aerospace & Defense
7.3. Automotive & Transportation
7.4. Banking, Financial Services & Insurance
7.5. Building, Construction & Real Estate
7.6. Consumer Goods & Retail
7.7. Education
7.8. Energy & Utilities
7.9. Government & Public Sector
7.10. Healthcare & Life Sciences
7.11. Information Technology
7.12. Manufacturing
7.13. Media & Entertainment
7.14. Telecommunication
7.15. Travel & Hospitality
8. In-Memory Data Grid Market, by Deployment
8.1. Introduction
8.2. On Cloud
8.3. On-Premises
9. In-Memory Data Grid Market, by Application
9.1. Introduction
9.2. Fraud & Risk Management
9.3. Sales & Marketing Optimization
9.4. Supply Chain Optimization
9.5. Transaction Processing
10. Americas In-Memory Data Grid Market
10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States
11. Asia-Pacific In-Memory Data Grid Market
11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand
11.13. Vietnam
12. Europe, Middle East & Africa In-Memory Data Grid Market
12.1. Introduction
12.2. Denmark
12.3. Egypt
12.4. Finland
12.5. France
12.6. Germany
12.7. Israel
12.8. Italy
12.9. Netherlands
12.10. Nigeria
12.11. Norway
12.12. Poland
12.13. Qatar
12.14. Russia
12.15. Saudi Arabia
12.16. South Africa
12.17. Spain
12.18. Sweden
12.19. Switzerland
12.20. Turkey
12.21. United Arab Emirates
12.22. United Kingdom
13. Competitive Landscape
13.1. FPNV Positioning Matrix
13.1.1. Quadrants
13.1.2. Business Strategy
13.1.3. Product Satisfaction
13.2. Market Ranking Analysis, By Key Player
13.3. Market Share Analysis, By Key Player
13.4. Competitive Scenario
13.4.1. Merger & Acquisition
13.4.2. Agreement, Collaboration, & Partnership
13.4.3. New Product Launch & Enhancement
13.4.4. Investment & Funding
13.4.5. Award, Recognition, & Expansion
14. Company Usability Profiles
14.1. Alachisoft
14.1.1. Business Overview
14.1.2. Key Executives
14.1.3. Product & Services
14.2. Apache Ignite
14.2.1. Business Overview
14.2.2. Key Executives
14.2.3. Product & Services
14.3. Ehcache
14.3.1. Business Overview
14.3.2. Key Executives
14.3.3. Product & Services
14.4. Gigaspaces
14.4.1. Business Overview
14.4.2. Key Executives
14.4.3. Product & Services
14.5. Gridgain Systems
14.5.1. Business Overview
14.5.2. Key Executives
14.5.3. Product & Services
14.6. Hazelcast
14.6.1. Business Overview
14.6.2. Key Executives
14.6.3. Product & Services
14.7. Hitachi
14.7.1. Business Overview
14.7.2. Key Executives
14.7.3. Product & Services
14.8. IBM
14.8.1. Business Overview
14.8.2. Key Executives
14.8.3. Product & Services
14.9. Infinispan
14.9.1. Business Overview
14.9.2. Key Executives
14.9.3. Product & Services
14.10. Kinetica DB Inc.
14.10.1. Business Overview
14.10.2. Key Executives
14.10.3. Product & Services
14.11. Oracle
14.11.1. Business Overview
14.11.2. Key Executives
14.11.3. Product & Services
14.12. Pivotal
14.12.1. Business Overview
14.12.2. Key Executives
14.12.3. Product & Services
14.13. Red Hat
14.13.1. Business Overview
14.13.2. Key Executives
14.13.3. Product & Services
14.14. Redis Labs
14.14.1. Business Overview
14.14.2. Key Executives
14.14.3. Product & Services
14.15. Scale Out Software
14.15.1. Business Overview
14.15.2. Key Executives
14.15.3. Product & Services
14.16. SingleStore, Inc.
14.16.1. Business Overview
14.16.2. Key Executives
14.16.3. Product & Services
14.17. Software AG
14.17.1. Business Overview
14.17.2. Key Executives
14.17.3. Product & Services
14.18. Splice Machine
14.18.1. Business Overview
14.18.2. Key Executives
14.18.3. Product & Services
14.19. Tibco Software
14.19.1. Business Overview
14.19.2. Key Executives
14.19.3. Product & Services
14.20. Tmaxsoft
14.20.1. Business Overview
14.20.2. Key Executives
14.20.3. Product & Services
15. Appendix
15.1. Discussion Guide
15.2. License & Pricing