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1626532

세계의 데이터 히스토리안 시장 규모 : 전개별, 구성요소별, 최종 이용 산업별, 지역별 범위 및 예측

Global Data Historian Market Size By Deployment (On-Premise, Cloud), By Component (Software, Services), By End-Use Industry (Oil And Gas, Manufacturing, Data Centers), Geographic Scope And Forecast

발행일: | 리서치사: Verified Market Research | 페이지 정보: 영문 202 Pages | 배송안내 : 2-3일 (영업일 기준)

    
    
    



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데이터 히스토리안 시장 평가 - 2024-2031년

IIoT의 성장으로 인해 생성되는 방대한 양의 데이터를 관리하고 분석하기 위한 데이터 히스토리안 도입이 증가하고 있습니다. 따라서 산업용 사물인터넷(IIoT)의 채택은 2024년까지 1억 6,655만 달러 이상의 시장 규모 성장으로 2031년에는 2억 5,812만 달러의 평가액에 도달할 것으로 예상됩니다.

제약, 석유 및 가스, 발전과 같은 산업에서는 규제 준수 요구 사항과 규제 강화로 인해 강력한 데이터 관리 시스템이 필요합니다. 이러한 산업 분야의 규제 강화로 인해 시장은 2024년부터 2031년까지 CAGR 6.21%로 성장할 것으로 예상됩니다.

데이터 히스토리안 시장 정의/개요

데이터 히스토리안이란 다양한 산업 분야의 생산 데이터를 수집하고 저장하기 위해 설계된 전용 소프트웨어 프로그램입니다. 일정한 간격으로 데이터를 수집하여 시계열 데이터베이스에 저장함으로써 디스크 용량을 효율적으로 사용하면서 빠르고 쉽게 검색할 수 있도록 합니다. 이 시스템을 통해 작업자는 기계, 시스템 및 장비의 과거 성능을 확인할 수 있으며, 생산 공정의 운영 및 효율성에 대한 귀중한 인사이트를 얻을 수 있습니다.

오늘날의 급변하는 비즈니스 환경에서는 적절한 정보를 적절한 사람에게 적절한 시기에 제공하는 것이 매우 중요합니다. 데이터 히스토리안은 데이터를 통합 및 관리하고, 고객 경험 개선, 운영 최적화, 전반적인 성공 추진과 같은 업무의 우선순위를 정하는 데 중요한 역할을 합니다. 이러한 시스템은 조직 전체의 데이터 수집, 저장 및 액세스를 간소화하고, 원활한 동기화를 보장하며, 서로 다른 위치에서 여러 데이터 연결을 관리할 필요가 없도록 합니다.

예측 보존 이니셔티브가 데이터 히스토리안 시장의 성장을 촉진하는 이유는 무엇일까?

예지보전 이니셔티브의 데이터 히스토리안은 예지보전 전략에서 중요한 역할을 하며, 다운타임과 유지보수 비용 절감에 기여합니다. 미국 에너지부 보고서에 따르면, 예지보전을 통해 유지보수 비용을 25-30% 절감하고 고장을 70-75%까지 줄일 수 있다고 합니다. IDC(International Data Corporation)에 따르면, 전 세계 IoT 지출은 2023년까지 1조 1,000억 달러에 달할 것이며, 2019년부터 2023년까지 12.6%의 CAGR을 기록할 것으로 예상됩니다. 미국 식품의약국(FDA)은 2016년부터 2019년까지 제약 업계의 데이터 무결성 문제와 관련된 경고서가 42% 증가했다고 보고했습니다.

가트너는 2021년 30%에서 2025년까지 새로운 디지털 워크로드의 95% 이상이 클라우드 네이티브 플랫폼에 구축될 것으로 예측하고 있습니다. 에너지 관리 및 지속가능성 데이터 히스토리는 다양한 산업에서 에너지 최적화 및 지속가능성 보고를 위해 활용되고 있습니다. 미국 환경보호청(EPA)의 보고에 따르면, 에너지 관리 시스템을 사용하는 기업은 연간 평균 2-10%의 에너지 절감을 달성하고 있습니다.

MIT Sloan Management Review와 Boston Consulting Group의 조사에 따르면, AI와 ML 기술을 데이터 히스토리에 도입하여 예측 능력과 의사결정 프로세스를 강화한 기업의 91%가 3년 이내에 긍정적인 투자수익을 달성한 것으로 나타났습니다. 수익을 창출하고 있습니다.

데이터 히스토리안 시장의 성장을 가로막는 데이터 보안과 프라이버시 문제, 높은 도입 비용, 유지보수 비용이란?

데이터 히스토리안은 방대한 양의 기밀 산업 데이터를 수집하고 저장하기 때문에 보안 침해 및 데이터 프라이버시 우려가 채택을 방해할 수 있습니다. 미국 국토안보부에 따르면, 산업 제어 시스템에서 보고된 사이버 보안 사고 건수는 2018년에서 2020년 사이 110% 증가했다고 합니다. 데이터 히스토리안 시스템의 초기 투자 및 지속적인 유지보수 비용은 특히 중소기업에 있어서는 엄청난 비용이 들 수 있습니다. 미국 중소기업청 보고서에 따르면, 중소기업은 소프트웨어 도입 및 유지보수를 포함한 IT 비용으로 매출액의 평균 6.9%를 지출하고 있습니다.

기존 시스템의 데이터를 효과적으로 도입, 관리, 해석할 수 있는 숙련된 전문가의 부족은 시장 성장에 큰 도전이 되고 있습니다. 미국 노동통계청은 2020년에서 2030년까지 데이터베이스 관리자와 아키텍트의 고용이 8% 증가하여 전체 직종 평균을 상회할 것으로 예측하고 있으며, 이는 데이터 관리 기술에 대한 수요가 증가하고 있음을 보여줍니다.

목차

제1장 소개

  • 시장 정의
  • 시장 세분화
  • 조사 스케줄
  • 가정
  • 한계

제2장 조사 방법

  • 데이터 마이닝
  • 2차 조사
  • 1차 조사
  • 전문가 조언
  • 퀄리티 체크
  • 최종 리뷰
  • 데이터 삼각측량
  • 상향식 접근
  • 하향식 접근
  • 조사 흐름
  • 데이터 소스

제3장 주요 요약

  • 세계의 데이터 히스토리안 시장 개요
  • 세계의 데이터 히스토리안 절대 시장 기회
  • 세계의 데이터 히스토리안 시장 매력, 지역별
  • 세계의 데이터 히스토리안 시장 매력, 구성요소별
  • 세계의 데이터 히스토리안 시장 매력, 전개별
  • 세계의 데이터 히스토리안 시장 매력, 최종사용자별
  • 세계의 데이터 히스토리안 시장 지역별 분석(CAGR %)
  • 세계의 데이터 히스토리안 시장 : 전개별(백만 달러)
  • 세계의 데이터 히스토리안 시장, 구성요소별(백만 달러)
  • 세계의 데이터 히스토리안 시장, 최종사용자별(백만 달러)
  • 향후 시장 기회
  • 세계의 데이터 히스토리안 시장 내역

제4장 시장 전망

  • 세계의 데이터 히스토리안 시장 변천
  • 세계의 데이터 히스토리안 시장 전망
  • 시장 성장 촉진요인
    • 프로세스와 퍼포먼스를 개선하기 위한 통합 데이터에 대한 수요 증가
    • 클라우드 기반 데이터 히스토리안 소프트웨어에 대한 수요 증가
  • 성장 억제요인
    • 데이터 프라이버시에 관한 우려
  • 가능성
    • 디지털화 진전과 센서 저가격화
    • 빅데이터 및 애널리틱스 진전과 최신 동향
  • COVID-19가 데이터 히스토리안 세계 시장에 미치는 영향
  • Porter's Five Forces 분석
    • 구매자의 교섭력
    • 공급 기업의 교섭력
    • 대체품의 위협
    • 신규 참여업체의 위협
    • 경쟁 기업 간의 경쟁 관계
  • 가격 분석
  • 거시경제 분석

제5장 전개 방식별 시장

  • 개요
  • 온프레미스
  • 클라우드

제6장 용도별 시장

  • 개요
  • 예지보전
  • 생산 추적
  • GRC 관리
  • 환경 감사 자산

제7장 최종 이용 산업별 시장

  • 개요
  • 석유 및 가스
  • 제조업
  • 데이터센터
  • 금속·광업
  • 화학·제약
  • 에너지·유틸리티

제8장 지역별 시장

  • 개요
  • 북미
    • 북미 시장 현황
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 유럽 시장 현황
    • 독일
    • 영국
    • 프랑스
    • 이탈리아
    • 스페인
    • 기타 유럽
  • 아시아태평양
    • 아시아태평양 시장 현황
    • 중국
    • 일본
    • 인도
    • 기타 아시아태평양
  • 라틴아메리카
    • 라틴아메리카 시장 현황
    • 브라질
    • 아르헨티나
    • 기타 라틴아메리카
  • 중동 및 아프리카
    • 중동 및 아프리카 시장 현황
    • 아랍에미리트
    • 사우디아라비아
    • 남아프리카공화국
    • 기타 중동 및 아프리카

제9장 경쟁 구도

  • 개요
  • 경쟁 시나리오
  • 기업 시장 순위 분석
  • 기업 점유율 분석
  • 지역별 발자국
  • 기업 산업별 발자국
  • 에이스 매트릭스
    • 액티브
    • 커팅 엣지
    • 이머징
    • 이노베이터

제10장 기업 개요

  • SIEMENS AG
  • MITSUBISHI ELECTRIC CORPORATION
  • ROCKWELL AUTOMATION INC.
  • ABB
  • AVEVA GROUP PLC(SCHNEIDER ELECTRIC)
  • GENERAL ELECTRIC COMPANY
  • ICONICS, INC.
KSM 25.02.11

Data Historian Market Valuation - 2024-2031

The growth of IIoT is driving increased adoption of data historians to manage and analyze the vast amounts of data generated. Thus, the adoption of the Industrial Internet of Things (IIoT) surged the growth of market size surpassing USD 166.55 Million by 2024 to reach a valuation of USD 258.12 Million by 2031.

Regulatory compliance requirements and stricter regulations in industries like pharmaceuticals, oil and gas, and power generation necessitate robust data management systems. Thus, the stricter regulations in industries enable the market to grow at a CAGR of 6.21% from 2024 to 2031.

Data Historian Market: Definition/ Overview

A data historian is a specialized software program designed to collect and store production data across various industry sectors. It captures data at regular intervals and stores it in a time series database, ensuring efficient use of disk space while allowing quick and easy retrieval. This system enables operators to review the historical performance of machines, systems, and equipment, offering valuable insights into their operation and efficiency during the production process.

In today's rapidly expanding business environment, providing the right information to the right person at the right time is crucial. Data historians play a key role in aggregating and managing data, helping businesses prioritize tasks such as enhancing customer experience, optimizing operations, and driving overall success. These systems simplify data collection, storage, and access across organizations, ensuring seamless synchronization and eliminating the need to manage multiple data connections in different locations.

How the Predictive Maintenance Initiative Surges the Growth of the Data Historian Market?

The predictive maintenance initiatives data historians play a crucial role in predictive maintenance strategies, helping to reduce downtime and maintenance costs. A report by the U.S. Department of Energy stated that predictive maintenance can reduce maintenance costs by 25-30% and eliminate breakdowns by 70-75%. According to the International Data Corporation (IDC), global IoT spending is projected to reach USD 1.1 Trillion by 2023, with a compound annual growth rate (CAGR) of 12.6% from 2019 to 2023. The U.S. Food and Drug Administration (FDA) reported a 42% increase in warning letters related to data integrity issues in the pharmaceutical industry between 2016 and 2019.

The integration of data historians with cloud platforms is expanding their capabilities and accessibility. Gartner predicts that by 2025, over 95% of new digital workloads will be deployed on cloud-native platforms, up from 30% in 2021. Energy management and sustainability data historians are increasingly used for energy optimization and sustainability reporting in various industries. The U.S. Environmental Protection Agency (EPA) reports that companies using energy management systems achieve average energy savings of 2-10% annually.

The incorporation of AI and ML technologies with data historians is enhancing predictive capabilities and decision-making processes. According to a survey by MIT Sloan Management Review and Boston Consulting Group, 91% of companies that have invested in AI have seen a positive return on investment within three years.

How the Data Security and Privacy Concerns, High Implementation, and Maintenance Costs Impede the Growth of the Data Historian Market?

As data historians collect and store vast amounts of sensitive industrial data, concerns about security breaches and data privacy can hinder adoption. According to the U.S. Department of Homeland Security, the number of cybersecurity incidents reported by industrial control systems increased by 110% between 2018 and 2020. The initial investment and ongoing maintenance costs for data historian systems can be prohibitive, especially for small and medium-sized enterprises. A report by the U.S. Small Business Administration found that small businesses spend an average of 6.9% of their revenue on IT expenses, including software implementation and maintenance.

The shortage of skilled professionals who can effectively implement, manage, and interpret data from historian systems poses a significant challenge to market growth. The U.S. Bureau of Labor Statistics projects that employment of database administrators and architects will grow 8% from 2020 to 2030, faster than the average for all occupations, indicating a growing demand for data management skills.

Category-Wise Acumens

How the Cloud Infrastructure in Managing Large Volume of Data Foster the Growth of Cloud Segment?

The cloud segment plays a dominant role in the data historian market, driven by the scalability, flexibility, and efficiency of cloud infrastructure in managing large volumes of data. Cloud development has enabled data historians to leverage cloud environments, offering seamless integration with other cloud-based tools and services such as advanced data analysis, visualization, and reporting. This integration has increased demand for cloud-based data historians, as businesses seek more agile solutions for data storage, retrieval, and processing.

With the rise of cloud adoption across industries, particularly in sectors like BFSI (banking, financial services, and insurance), cloud services have become essential for storing and managing vast amounts of consumer data. Services such as payment gateways, online fund transfers, digital wallets, and unified customer experiences rely heavily on cloud infrastructure, fueling the overall shift toward cloud deployment. The cloud's ability to provide real-time access, reduced maintenance costs, and enhanced security features has made it the preferred choice for organizations aiming to streamline their operations and improve data accessibility.

How the Need for Rapid Data Management Solutions in the Industry Escalate the Growth of the Oil & Gas Segment?

The oil and gas segment dominates the data historian market, owing to the industry's need for robust data management solutions to capture, store, and analyze vast amounts of operational data across exploration, production, and distribution processes. Data historians provide real-time monitoring of critical parameters such as pressure, flow rates, and equipment performance, which is essential for optimizing production and ensuring early detection of potential issues in the oil and gas value chain.

In the upstream sector, data historians play a key role in reservoir management, enhancing production optimization, and enabling efficient decision-making. In midstream and downstream operations, these systems are critical for monitoring pipeline integrity, refining processes, and managing supply chain logistics. By integrating advanced analytics and machine learning algorithms, oil and gas companies can leverage historical data to predict equipment failures, optimize maintenance schedules, and enhance operational efficiency.

As the oil and gas industry continues to prioritize efficiency and safety, data historians have become indispensable in improving asset performance, minimizing downtime, and reducing operational risks. The segment's reliance on data-driven decision-making and real-time monitoring solidifies its dominance in the data historian market.

Country/Region-wise Acumens

How the Adoption of Advanced Industrial Automation Accelerates the Growth of Data Historian Market in North America?

North America substantially dominates the data historian market owing to the advanced industrial automation adoption. North America, particularly the United States, leads in the implementation of advanced industrial automation technologies, driving the demand for data historian solutions. According to the International Federation of Robotics, the United States had an operational stock of about 310,700 industrial robots in 2020, ranking third globally and showing a 6% increase from the previous year.

The region's substantial R&D investments in various industries contribute to the development and adoption of sophisticated data management tools like historians. The National Science Foundation reports that U.S. businesses spent USD 441 Billion on research and development in 2019, accounting for about 70% of total U.S. R&D expenditures.

Robust IT Infrastructure and Cloud Computing Capabilities North America's advanced IT infrastructure and leadership in cloud computing services provide a strong foundation for data historian implementation and growth. According to the U.S. Census Bureau, in 2018, 92% of U.S. businesses used at least one type of cloud computing service, with 30% using advanced cloud computing services for data storage and management.

How does the Rapid Digital Transformation Escalate the Growth of the Data Historian Market in Asia Pacific?

Asia Pacific is anticipated to witness the fastest growth in the data historian market owing to the rapid digital transformation. Many countries in the Asia Pacific region are undergoing accelerated digital transformation, driving the need for advanced data management solutions like historians. According to a report by the Asian Development Bank, digital transformation could add an estimated USD 8.6 Trillion to Asia's GDP by 2025, highlighting the massive potential for growth in digital technologies, including data management systems.

The proliferation of IoT devices and networks in the region is creating a surge in data generation, necessitating robust data historian solutions. A study by IDC predicts that the Asia Pacific region (excluding Japan) will have 9.96 billion IoT devices installed by 2024, accounting for 36.9% of global IoT spending.

The Asia Pacific region's expanding manufacturing sector, particularly in countries like China and India, is driving increased adoption of industrial automation and data management technologies. The United Nations Industrial Development Organization (UNIDO) reports that Asia and the Pacific's share of global manufacturing value added increased from 31.9% in 2000 to 50.5% in 2020, indicating substantial growth in the industrial sector.

Competitive Landscape

The competitive landscape of the Data Historian Market is evolving rapidly, with new players entering the market and existing players expanding their offerings. As the demand for data-driven insights continues to grow, the competition among data historian providers is expected to intensify.

The organizations are focusing on innovating their product line to serve the vast population in diverse regions. Some of the prominent players operating in the data historian market include:

  • Siemens AG
  • Mitsubishi Electric Corporation
  • ICONICS, Inc.
  • Rockwell Automation, Inc.
  • ABB
  • AVEVA Group plc (Schneider Electric)
  • General Electric Company

Latest Developments:

  • In May 2023, dataPARC announced the launch of its next-generation data historian platform, which would give federated plant operations data to technological and operational teams.
  • In February 2023, DuPont selected Aspen Technology to modernize its industrial database and improve access, insights, and visibility throughout its organization. DuPont transferred 20 years' worth of historical data to Aspen's data historian.
  • In May 2022, GE Digital announced the launch of the Proficy data management solution for electric utilities, which is connected with the Advanced Distribution Management Solution and Advanced Energy Management System.
  • In April 2022, GE Digital announced the launch of Proficy Historian for Cloud, a cloud-native operational data historian, on the AWS Marketplace.

Data Historian Market, By Category

  • Deployment Mode:
  • On-Premises
  • Cloud
  • Application:
  • Predictive Maintenance
  • Production Tracking
  • GRC Management
  • Environmental Auditing Asset
  • End-User Industry:
  • Oil and Gas
  • Manufacturing
  • Data Centers
  • Metal & Mining
  • Chemicals & Pharmaceuticals
  • Energy & Utilities
  • Region:
  • North America
  • Europe
  • Asia-Pacific
  • South America
  • Middle East & Africa

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 MARKET DEFINITION
  • 1.2 MARKET SEGMENTATION
  • 1.3 RESEARCH TIMELINES
  • 1.4 ASSUMPTIONS
  • 1.5 LIMITATIONS

2 RESEARCH METHODOLOGY

  • 2.1 DATA MINING
  • 2.2 SECONDARY RESEARCH
  • 2.3 PRIMARY RESEARCH
  • 2.4 SUBJECT MATTER EXPERT ADVICE
  • 2.5 QUALITY CHECK
  • 2.6 FINAL REVIEW
  • 2.7 DATA TRIANGULATION
  • 2.8 BOTTOM-UP APPROACH
  • 2.9 TOP-DOWN APPROACH
  • 2.10 RESEARCH FLOW
  • 2.11 DATA SOURCES

3 EXECUTIVE SUMMARY

  • 3.1 GLOBAL DATA HISTORIAN MARKET OVERVIEW
  • 3.2 GLOBAL DATA HISTORIAN ABSOLUTE MARKET OPPORTUNITY
  • 3.3 GLOBAL DATA HISTORIAN MARKET ATTRACTIVENESS, BY GEOGRAPHY
  • 3.4 GLOBAL DATA HISTORIAN MARKET ATTRACTIVENESS, BY COMPONENT
  • 3.5 GLOBAL DATA HISTORIAN MARKET ATTRACTIVENESS, BY DEPLOYMENT
  • 3.6 GLOBAL DATA HISTORIAN MARKET ATTRACTIVENESS, BY END-USER
  • 3.7 GLOBAL DATA HISTORIAN MARKET GEOGRAPHICAL ANALYSIS (CAGR %)
  • 3.8 GLOBAL DATA HISTORIAN MARKET, BY DEPLOYMENT (USD MILLION)
  • 3.9 GLOBAL DATA HISTORIAN MARKET, BY COMPONENT (USD MILLION)
  • 3.10 GLOBAL DATA HISTORIAN MARKET, BY END-USER (USD MILLION)
  • 3.11 FUTURE MARKET OPPORTUNITIES
  • 3.12 GLOBAL DATA HISTORIAN MARKET SPLIT

4 MARKET OUTLOOK

  • 4.1 GLOBAL DATA HISTORIAN MARKET EVOLUTION
  • 4.2 GLOBAL DATA HISTORIAN MARKET OUTLOOK
  • 4.3 MARKET DRIVERS
    • 4.3.1 RISING DEMAND FOR CONSOLIDATED DATA TO IMPROVE PROCESS AND PERFORMANCE
    • 4.3.2 INCREASE IN DEMAND FOR CLOUD-BASED DATA HISTORIAN SOFTWARE
  • 4.4 RESTRAINTS
    • 4.4.1 CONCERNS ABOUT DATA PRIVACY
  • 4.5 OPPORTUNITIES
    • 4.5.1 INCREASING DIGITALIZATION AND FALLING COST OF SENSORS
    • 4.5.2 ADVANCEMENT & EMERGING TRENDS IN BIG DATA & ANALYTICS
  • 4.6 IMPACT OF COVID-19 ON THE GLOBAL DATA HISTORIAN MARKET
  • 4.7 PORTER'S FIVE FORCES ANALYSIS
    • 4.7.1 BARGAINING POWER OF BUYERS
    • 4.7.2 BARGAINING POWER OF SUPPLIERS
    • 4.7.3 THREAT OF SUBSTITUTES
    • 4.7.4 THREAT FROM NEW ENTRANTS
    • 4.7.5 INTENSITY OF COMPETITIVE RIVALRY
  • 4.8 PRICING ANALYSIS
  • 4.9 MACROECONOMIC ANALYSIS

5 MARKET, BY DEPLOYMENT MODE

  • 5.1 OVERVIEW
  • 5.1 ON-PREMISES
  • 5.2 CLOUD

6 MARKET, BY APPLICATION

  • 6.1 OVERVIEW
  • 6.2 PREDICTIVE MAINTENANCE
  • 6.3 PRODUCTION TRACKING
  • 6.4 GRC MANAGEMENT
  • 6.5 ENVIRONMENTAL AUDITING ASSET

7 MARKET, BY END-USER INDUSTRY

  • 7.1 OVERVIEW
  • 7.2 OIL AND GAS
  • 7.3 MANUFACTURING
  • 7.4 DATA CENTERS
  • 7.5 METAL & MINING
  • 7.6 CHEMICALS & PHARMACEUTICALS
  • 7.7 ENERGY & UTILITIES

8 MARKET, BY GEOGRAPHY

  • 8.1 OVERVIEW
  • 8.2 NORTH AMERICA
    • 8.2.1 NORTH AMERICA MARKET SNAPSHOT
    • 8.2.2 U.S.
    • 8.2.3 CANADA
    • 8.2.4 MEXICO
  • 8.3 EUROPE
    • 8.3.1 EUROPE MARKET SNAPSHOT
    • 8.3.2 GERMANY
    • 8.3.3 U.K.
    • 8.3.4 FRANCE
    • 8.3.5 ITALY
    • 8.3.6 SPAIN
    • 8.3.7 REST OF EUROPE
  • 8.4 ASIA PACIFIC
    • 8.4.1 ASIA PACIFIC MARKET SNAPSHOT
    • 8.4.2 CHINA
    • 8.4.3 JAPAN
    • 8.4.4 INDIA
    • 8.4.5 REST OF ASIA PACIFIC
  • 8.5 LATIN AMERICA
    • 8.5.1 LATIN AMERICA MARKET SNAPSHOT
    • 8.5.2 BRAZIL
    • 8.5.3 ARGENTINA
    • 8.5.4 REST OF LATIN AMERICA
  • 8.6 MIDDLE EAST AND AFRICA
    • 8.6.1 MIDDLE EAST AND AFRICA MARKET SNAPSHOT
    • 8.6.2 UAE
    • 8.6.3 SAUDI ARABIA
    • 8.6.4 SOUTH AFRICA
    • 8.6.5 REST OF MIDDLE EAST AND AFRICA

9 COMPETITIVE LANDSCAPE

  • 9.1 OVERVIEW
  • 9.2 COMPETITIVE SCENARIO
  • 9.3 COMPANY MARKET RANKING ANALYSIS
  • 9.4 COMPANY MARKET SHARE ANALYSIS
  • 9.5 COMPANY REGIONAL FOOTPRINT
  • 9.6 COMPANY INDUSTRY FOOTPRINT
  • 9.7 ACE MATRIX
    • 9.7.1 ACTIVE
    • 9.7.2 CUTTING EDGE
    • 9.7.3 EMERGING
    • 9.7.4 INNOVATORS

10 COMPANY PROFILES

  • 10.1 SIEMENS AG
    • 10.1.1 COMPANY OVERVIEW
    • 10.1.2 COMPANY INSIGHTS
    • 10.1.3 SEGMENT BREAKDOWN
    • 10.1.4 PRODUCT BENCHMARKING
    • 10.1.5 WINNING IMPERATIVES
    • 10.1.6 CURRENT FOCUS & STRATEGIES
    • 10.1.7 THREAT FROM COMPETITION
    • 10.1.8 SWOT ANALYSIS
  • 10.2 MITSUBISHI ELECTRIC CORPORATION
    • 10.2.1 COMPANY OVERVIEW
    • 10.2.2 COMPANY INSIGHTS
    • 10.2.3 SEGMENT BREAKDOWN
    • 10.2.4 PRODUCT BENCHMARKING
    • 10.2.5 WINNING IMPERATIVES
    • 10.2.6 CURRENT FOCUS & STRATEGIES
    • 10.2.7 THREAT FROM COMPETITION
    • 10.2.8 SWOT ANALYSIS
  • 10.3 ROCKWELL AUTOMATION INC.
    • 10.3.1 COMPANY OVERVIEW
    • 10.3.2 COMPANY INSIGHTS
    • 10.3.3 SEGMENT BREAKDOWN
    • 10.3.4 PRODUCT BENCHMARKING
    • 10.3.5 KEY DEVELOPMENTS
    • 10.3.6 WINNING IMPERATIVES
    • 10.3.7 CURRENT FOCUS & STRATEGIES
    • 10.3.8 THREAT FROM COMPETITION
    • 10.3.9 SWOT ANALYSIS
  • 10.4 ABB
    • 10.4.1 COMPANY OVERVIEW
    • 10.4.2 COMPANY INSIGHTS
    • 10.4.3 SEGMENT BREAKDOWN
    • 10.4.4 PRODUCT BENCHMARKING
    • 10.4.5 WINNING IMPERATIVES
    • 10.4.6 CURRENT FOCUS & STRATEGIES
    • 10.4.7 THREAT FROM COMPETITION
    • 10.4.8 SWOT ANALYSIS
  • 10.5 AVEVA GROUP PLC (SCHNEIDER ELECTRIC)
    • 10.5.1 COMPANY OVERVIEW
    • 10.5.2 COMPANY INSIGHTS
    • 10.5.3 SEGMENT BREAKDOWN
    • 10.5.4 PRODUCT BENCHMARKING
    • 10.5.5 KEY DEVELOPMENTS
    • 10.5.6 WINNING IMPERATIVES
    • 10.5.7 CURRENT FOCUS & STRATEGIES
    • 10.5.8 THREAT FROM COMPETITION
    • 10.5.9 SWOT ANALYSIS
  • 10.6 GENERAL ELECTRIC COMPANY
    • 10.6.1 COMPANY OVERVIEW
    • 10.6.2 COMPANY INSIGHTS
    • 10.6.3 SEGMENT BREAKDOWN
    • 10.6.4 PRODUCT BENCHMARKING
    • 10.6.5 KEY DEVELOPMENTS
  • 10.7 ICONICS, INC.
    • 10.7.1 COMPANY OVERVIEW
    • 10.7.2 COMPANY INSIGHTS
    • 10.7.3 SEGMENT BREAKDOWN
    • 10.7.4 PRODUCT BENCHMARKING
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