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Global Data Historian Market by Deployment (On-Premises, Cloud) by Application (Production Tracking, Environmental Auditing, Asset Performance Management, GRC Management, Predictive Maintenance) - Business Overview, Analysis and Industry Forecast 2017-2023


Report Overview

Global Data Historian Market was valued at USD XX Billion in the year 2017. ABB, AVEVA Group, General Electric, Honeywell, IBM, Siemens, Yokogawa, Aspen Technology, Emerson, PTC, are some of the key players in the Global Data Historian market.

Global Data Historian market is further estimated to grow at a CAGR of XX% from 2018 to reach USD XX Billion by the year 2023. Asia-Pacific region holds the highest market share in 2017 and also considered as the fastest growing market in the forecasted period. At the country level China, Japan, and India are projected to grow strongly in the coming years.


Rising Industrial Big Data


High Deployment Costs


Growing Need for Industrial 360 Hypervision


Growing Impact of IIoT

The Global Data Historian Market is segmented on the basis of Deployment, Component, Application, End-User, and region. The major shares of the market come from Software/Tools, by Component in Global Data Historian Market. On the other hand, Cloud, by Deployment for this market is expected to grow at highest CAGR during the year 2018-2023.

Key Benefits for Stakeholders

Application developers, Service providers, and distributors

Third-party vendors, Independent Software Vendors (ISVs)

Enterprises, End-users

Smart manufacturing consultants

By Deployment



By Component



By Application

Production Tracking

Environmental Auditing

Asset Performance Management

GRC Management

Predictive Maintenance


By End User

Oil & Gas


Chemicals & Pharmaceuticals

Paper & Pulp

Metal & Mining


Data Centers


By Region

North America




Key Market Players



General Electric





Aspen Technology



(A brief overview of 10 companies is also provided in the report.)

Research Methodology:

Genesis Market Insights follows in-depth Research Methodology focused on reducing deviation in the collected data. GMI offers the most precise evaluations and projection for the market numbers. GMI engages following Market Engineering techniques –

  1.      Raw Market Data is collected and compared with the Existing in-house Data on a broad front.
  2.      Both Bottom-Up and Top-Down approaches are analyzed for segmenting and estimating measurable aspects of the market.
  3.      To avoid bias, we filter the collected data collected from authenticated sources.
  4.      GMI has a well proven Statistical Modeling System for estimates and forecasts.
  5.      Further, the report findings are validated with the Industry Expert Panel on face to face or telephonic interviews.
  6.      Panelists are approached from Leading Enterprises across the value chain including manufacturers, suppliers, technology providers, domain experts and buyers so as to validate a thorough and balanced market overview.

Detailed customization is also available for you. Further, if the report listed above does not meet your key requirements. Our customized research report will analytically cover the required market information you need which will help you to plan your business decisions.

Table Of Content

1. Introduction

1.1 Market Vision

       1.1.1 Market Definition

       1.1.2 Market Scope

1.2 Limitations

1.3 Stakeholders

2. Research Methodology

2.1. Research Process

       2.1.1. Secondary Research

    Key Data from Secondary Research

       2.1.2. Primary Research

    Key Data from Primary Research

    Breakdowns of Primary Interviews

2.2. Market Size Estimation

       2.2.1. Bottom-Up Approach

       2.2.2. Top-Down Approach

       2.2.3. Annual Revenue Process

2.3. Data Triangulation 

2.4. Research Assumptions 

       2.4.1. Assumption

3. Executive Summary

4. Market Overview

4.1. Introduction

4.2. Drivers

4.3. Restraints

4.4. Opportunities

4.5. Challenges

4.6. Regulations

4.7. Supply Chain/Value Chain Analysis

4.8. Patent & Standards

5. Industry Trends

5.1. Introduction

5.2. Porter’s Five Forces Analysis

       5.2.1. Threat of New Entrants

       5.2.2. Threat of Substitutes

       5.2.3. Bargaining Power of Buyers

       5.2.4. Bargaining Power of Suppliers

       5.2.5. Intensity of Competitive Rivalry

6. Global Data Historian Market, By Deployment

6.1. On-Premises

6.2. Cloud

7. Global Data Historian Market, By Component

7.1. Software/Tools

7.2. Services

8. Global Data Historian Market, By Application

8.1. Production Tracking

8.2. Environmental Auditing

8.3. Asset Performance Management

8.4. GRC Management

8.5. Predictive Maintenance

8.6. Others

9. Global Data Historian Market, By End User

9.1. Oil & Gas

9.2. Marine

9.3. Chemicals & Pharmaceuticals

9.4. Paper & Pulp

9.5. Metal & Mining

9.6. Utilities

9.7. Data Centers

9.8. Others

10. Geographical Analysis

10.1. Introduction

10.2. North America

       10.2.1. U.S.

       10.2.2. Canada

       10.2.3. Mexico

10.3. Europe

       10.3.1. U.K.

       10.3.2. Germany

       10.3.3. France

       10.3.4. RoE

10.4. Asia Pacific

       10.4.1. South Korea

       10.4.2. China

       10.4.3. Japan

       10.4.4. RoAPAC

10.5. RoW

       10.5.1. Latin America

       10.5.2. Middle East and Africa

11. Company Profiles

(Business Overview, Financial Overview, Product write up, Recent Developments)

11.1. ABB

11.2. AVEVA Group

11.3. General Electric

11.4. Honeywell

11.5. IBM

11.6. Siemens

11.7. Yokogawa

11.8. Aspen Technology

11.9. Emerson

11.10. PTC

(A brief overview of 10 companies is also provided in the report.)

12. Competitive Analysis

12.1. Introduction

12.2. Market Positioning of Key Players

12.3 Competitive Strategies Adopted by Leading Players

        12.3.1. Investments & Expansions

        12.3.2. New Product Launches

        12.3.3. Mergers & Acquisitions        

        12.3.4. Agreements, Joint Ventures, and Partnerships

13. Appendix

13.1. Questionnaire

13.2. Available Customizations 

13.3. Upcoming Events (Trade Fair, Exhibitions, Conferences)


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