시장보고서
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1090041

세계의 인메모리 애널리틱스 시장 규모 : 용도, 기업 규모, 업계, 지역별 예측(2022-2028년)

Global In Memory Analytics Market Size study, By Application, By End Use, By Vertical, and Regional Forecasts 2022-2028

발행일: | 리서치사: Bizwit Research & Consulting LLP | 페이지 정보: 영문 | 배송안내 : 2-3일 (영업일 기준)

※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 인메모리 애널리틱스 시장 수요를 증가시키는 요인은 데이터량 증가, 최종 사용 용도에서의 수요 증가, 협업 활동 증가를 들 수 있습니다.

다양한 업계에서 자동화가 진행되어 데이터 과학과 머신러닝 솔루션이 도입되고 있는 점 또한 예측 기간에 시장 수요를 높이는 요인이 될 것으로 예측됩니다.

그러나, 업계 전체의 인식 부족, 데이터 프라이버시와 보안에 관련된 우려가 2022-2028년간 시장 성장을 방해할 것으로 예상됩니다.

세계의 인메모리 애널리틱스(In Memory Analytics) 시장을 조사했으며, 시장 개요, 업계 분석, COVID-19에 의한 리스크 평가, 용도·기업 규모·업계·지역별 분석 및 경쟁 정보 등을 제공합니다.

목차

제1장 개요

제2장 세계의 인메모리 애널리틱스 시장 : 정의와 범위

제3장 세계의 인메모리 애널리틱스 시장 : 시장 역학

  • 인메모리 애널리틱스 시장 : 영향 분석(2020-2028년)

제4장 세계의 인메모리 애널리틱스 시장 : 업계 분석

  • Porter's Five Forces 모델
  • PEST 분석
  • 투자 채용 모델
  • 애널리스트의 추천 사항과 결론
  • 주요 투자 기회
  • 주요 성공 전략

제5장 리스크 평가 : COVID-19의 영향

    • 업계에 대한 COVID-19의 전체적 영향 평가
    • COVID-19 이전/이후의 시장 시나리오

제6장 세계의 인메모리 애널리틱스 시장 : 용도별

  • 시장 현황
  • 실적 - 잠재적인 분석
  • 추정과 예측(2018-2028년)
  • 하위 부문 분석
    • 고객경험관리(CEM)
    • 디자인 및 혁신
    • 운영 최적화
    • 마케팅 관리
    • 실시간 분석 및 의사결정
    • 기타

제7장 세계의 인메모리 애널리틱스 시장 : 기업 규모별

  • 시장 현황
  • 실적 - 잠재적인 분석
  • 추정과 예측(2018-2028년)
  • 하위 부문 분석
    • 중소기업
    • 대기업

제8장 세계의 인메모리 애널리틱스 시장 : 업계별

  • 시장 현황
  • 실적 - 잠재적인 분석
  • 추정과 예측(2018-2028년)
  • 하위 부문 분석
    • 은행/금융서비스/보험(BFSI)
    • 소매/E-Commerce
    • 정부/방위
    • 의료
    • 제조
    • 통신/정보기술 대응 서비스
    • 기타

제9장 세계의 인메모리 애널리틱스 시장 : 지역별 분석

  • 지역별 시장 현황
  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 영국
    • 독일
    • 프랑스
    • 스페인
    • 이탈리아
    • 기타 유럽
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 호주
    • 한국
    • 기타 아시아태평양
  • 라틴아메리카
    • 브라질
    • 멕시코
  • 기타 지역

제10장 경쟁 정보

  • 주요 시장 전략
  • 기업 개요
    • SAP(Germany)
    • Oracle(US)
    • Kognitio(UK)
    • MicroStrategy(US)
    • SAS Institute(US)
    • ActiveViam(UK)
    • IBM(US)
    • Information Builders(US)
    • Hitachi(Japan)
    • Software AG(Germany)

제11장 조사 프로세스

LSH 22.07.05

Global In Memory Analytics Market is valued approximately USD XX million in 2021 and is anticipated to grow with a healthy growth rate of more than XX % over the forecast period 2022-2028. In Memory Analytics is a type of middleware software that facilitates to store data in RAM, across a cluster of computers. All the data used by an application is stored within the main memory of the computer system, rather than accessing the data on a disk, data remains suspended in the memory of a powerful set of computers. As compared traditional disk-based intelligence system in memory analytics offers faster results and improves overall business efficiency. The growing volume of data and increasing demand from end use applications as well as rising number of collaboration activities are factors that are accelerating the global market demand. For instance, according to Statista - in 2020, around 64.2 Zettabytes of data created, captured, copied, and consumed across the globe, and this amount is projected to grow to 180 zettabytes by end of 2025. Furthermore, in May 2022, Samsung Electronics Co., Ltd., and Red Hat, Inc., entered in a collaboration for development of software technologies for next-generation memory solutions. Under this collaboration both the companies would jointly work towards development of open-source software for existing and upcoming memory and storage products, such as NVMe SSDs, CXL memory, computational memory/storage. Also, growing automation across different industries and rising deployment of Data science and machine learning Solutions are anticipated to act as a catalyzing factor for the market demand during the forecast period. However, lack of awareness across the industries and concern associated over data privacy and security impede the growth of the market over the forecast period of 2022-2028.

The key regions considered for the global In Memory Analytics Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America is the leading region across the world in terms of market share owing to the growing automation across the industries and presence of leading market players in the region. Whereas, Asia Pacific is anticipated to exhibit a significant growth rate over the forecast period 2022-2028. Factors such as rapid industrialization and growing big data analytics market in the region, would create lucrative growth prospects for the In Memory Analytics Market across the Asia Pacific region.

Major market players included in this report are:

SAP (Germany)

Oracle (US)

Kognitio (UK)

MicroStrategy (US)

SAS Institute (US)

ActiveViam (UK)

IBM (US)

Information Builders (US)

Hitachi (Japan)

Software AG (Germany)

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Application

Customer Experience Management

Design & Innovation

Operational Optimization

Marketing Management

Real-Time Analysis and Decision-Making

Others

By End Use

SMEs

Large Enterprises

By Vertical

BFSI

Retail & E-commerce

Government & Defense

Healthcare

Manufacturing

Telcos & ITES

Others

By Region:

North America

U.S.

Canada

Europe

UK

Germany

France

Spain

Italy

ROE

Asia Pacific

China

India

Japan

Australia

South Korea

RoAPAC

Latin America

Brazil

Mexico

Rest of the World

Furthermore, years considered for the study are as follows:

Historical year - 2018, 2019, 2020

Base year - 2021

Forecast period - 2022 to 2028

Target Audience of the Global In Memory Analytics Market in Market Study:

Key Consulting Companies & Advisors

Large, medium-sized, and small enterprises

Venture capitalists

Value-Added Resellers (VARs)

Third-party knowledge providers

Investment bankers

Investors

Table of Contents

Chapter 1. Executive Summary

  • 1.1. Market Snapshot
  • 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Million)
    • 1.2.1. Global In Memory Analytics Market, by Region, 2020-2028 (USD Million)
    • 1.2.2. Global In Memory Analytics Market, by Application, 2020-2028 (USD Million)
    • 1.2.3. Global In Memory Analytics Market, by End Use, 2020-2028 (USD Million)
    • 1.2.4. Global In Memory Analytics Market, by Vertical, 2020-2028 (USD Million)
  • 1.3. Key Trends
  • 1.4. Estimation Methodology
  • 1.5. Research Assumption

Chapter 2. Global In Memory Analytics Market Definition and Scope

  • 2.1. Objective of the Study
  • 2.2. Market Definition & Scope
    • 2.2.1. Scope of the Study
    • 2.2.2. Industry Evolution
  • 2.3. Years Considered for the Study
  • 2.4. Currency Conversion Rates

Chapter 3. Global In Memory Analytics Market Dynamics

  • 3.1. In Memory Analytics Market Impact Analysis (2020-2028)
    • 3.1.1. Market Drivers
      • 3.1.1.1. Growing volume of data
      • 3.1.1.2. Increasing demand from end use applications.
      • 3.1.1.3. Rising number of collaboration activities.
    • 3.1.2. Market Challenges
      • 3.1.2.1. Lack of awareness across the industries.
      • 3.1.2.2. Concern associated over data privacy and security.
    • 3.1.3. Market Opportunities
      • 3.1.3.1. Growing automation across different industries.
      • 3.1.3.2. Rising deployment of Data science and machine learning Solutions.

Chapter 4. Global In Memory Analytics Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model (2018-2028)
  • 4.2. PEST Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
  • 4.3. Investment Adoption Model
  • 4.4. Analyst Recommendation & Conclusion
  • 4.5. Top investment opportunity
  • 4.6. Top winning strategies

Chapter 5. Risk Assessment: COVID-19 Impact

    • 5.1.1. Assessment of the overall impact of COVID-19 on the industry
    • 5.1.2. Pre COVID-19 and post COVID-19 Market scenario

Chapter 6. Global In Memory Analytics Market, by Application

  • 6.1. Market Snapshot
  • 6.2. Global In Memory Analytics Market by Application, Performance - Potential Analysis
  • 6.3. Global In Memory Analytics Market Estimates & Forecasts by Application 2018-2028 (USD Million)
  • 6.4. In Memory Analytics Market, Sub Segment Analysis
    • 6.4.1. Customer Experience Management
    • 6.4.2. Design & Innovation
    • 6.4.3. Operational Optimization
    • 6.4.4. Marketing Management
    • 6.4.5. Real-Time Analysis and Decision-Making
    • 6.4.6. Others

Chapter 7. Global In Memory Analytics Market, by End Use

  • 7.1. Market Snapshot
  • 7.2. Global In Memory Analytics Market by End Use, Performance - Potential Analysis
  • 7.3. Global In Memory Analytics Market Estimates & Forecasts by End Use 2018-2028 (USD Million)
  • 7.4. In Memory Analytics Market, Sub Segment Analysis
    • 7.4.1. SMEs
    • 7.4.2. Large Enterprises

Chapter 8. Global In Memory Analytics Market, by Vertical

  • 8.1. Market Snapshot
  • 8.2. Global In Memory Analytics Market by Vertical, Performance - Potential Analysis
  • 8.3. Global In Memory Analytics Market Estimates & Forecasts by Vertical 2018-2028 (USD Million)
  • 8.4. In Memory Analytics Market, Sub Segment Analysis
    • 8.4.1. BFSI
    • 8.4.2. Retail & E-commerce
    • 8.4.3. Government & Defense
    • 8.4.4. Healthcare
    • 8.4.5. Manufacturing
    • 8.4.6. Telcos & ITES
    • 8.4.7. Others

Chapter 9. Global In Memory Analytics Market, Regional Analysis

  • 9.1. In Memory Analytics Market, Regional Market Snapshot
  • 9.2. North America In Memory Analytics Market
    • 9.2.1. U.S. In Memory Analytics Market
      • 9.2.1.1. Application estimates & forecasts, 2018-2028
      • 9.2.1.2. End Use estimates & forecasts, 2018-2028
      • 9.2.1.3. Vertical estimates & forecasts, 2018-2028
    • 9.2.2. Canada In Memory Analytics Market
  • 9.3. Europe In Memory Analytics Market Snapshot
    • 9.3.1. U.K. In Memory Analytics Market
    • 9.3.2. Germany In Memory Analytics Market
    • 9.3.3. France In Memory Analytics Market
    • 9.3.4. Spain In Memory Analytics Market
    • 9.3.5. Italy In Memory Analytics Market
    • 9.3.6. Rest of Europe In Memory Analytics Market
  • 9.4. Asia-Pacific In Memory Analytics Market Snapshot
    • 9.4.1. China In Memory Analytics Market
    • 9.4.2. India In Memory Analytics Market
    • 9.4.3. Japan In Memory Analytics Market
    • 9.4.4. Australia In Memory Analytics Market
    • 9.4.5. South Korea In Memory Analytics Market
    • 9.4.6. Rest of Asia Pacific In Memory Analytics Market
  • 9.5. Latin America In Memory Analytics Market Snapshot
    • 9.5.1. Brazil In Memory Analytics Market
    • 9.5.2. Mexico In Memory Analytics Market
  • 9.6. Rest of The World In Memory Analytics Market

Chapter 10. Competitive Intelligence

  • 10.1. Top Market Strategies
  • 10.2. Company Profiles
    • 10.2.1. SAP (Germany)
      • 10.2.1.1. Key Information
      • 10.2.1.2. Overview
      • 10.2.1.3. Financial (Subject to Data Availability)
      • 10.2.1.4. Product Summary
      • 10.2.1.5. Recent Developments
    • 10.2.2. Oracle (US)
    • 10.2.3. Kognitio (UK)
    • 10.2.4. MicroStrategy (US)
    • 10.2.5. SAS Institute (US)
    • 10.2.6. ActiveViam (UK)
    • 10.2.7. IBM (US)
    • 10.2.8. Information Builders (US)
    • 10.2.9. Hitachi (Japan)
    • 10.2.10. Software AG (Germany)

Chapter 11. Research Process

  • 11.1. Research Process
    • 11.1.1. Data Mining
    • 11.1.2. Analysis
    • 11.1.3. Market Estimation
    • 11.1.4. Validation
    • 11.1.5. Publishing
  • 11.2. Research Attributes
  • 11.3. Research Assumption
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