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REPORT SCOPE & OVERVIEW

The Data Historian Market size was USD 1.1 billion in 2022 and is expected to Reach USD 4.96 billion by 2030 and grow at a CAGR of 20.7 % over the forecast period of 2023-2030

A software tool called a data historian is used to record and save production and process data throughout corporate operations. The software collects data over time from multiple sources for evaluation in the future. Information about processes is gathered, archived, analysed, and visualized using the data historian program. Numerous industries, including manufacturing, oil, gas, environmental monitoring, and others use this software. Using a data historian, you may study manufacturing and other operations in real-time. Data historian has the capacity to keep the recorded data in the time series database while taking up the least amount of space, and it enables users to retrieve the data quickly and easily. The times series database makes it possible for the operators to comprehend how the equipment, systems, tools, and others. factors including their performance during the manufacturing process. Data historian software also records analogy readings, digital readings, product information, and efficient data storage through compression methods. The data historian market is segmented by deployment, end-user, Application & industry, The on-premises segment dominated the data historian market in 2022, accounting for the largest market share. This is due to the fact that many organizations prefer to have control over their data and infrastructure. However, the cloud segment is expected to grow at the fastest CAGR during the forecast period, due to the increasing adoption of cloud-based solutions. Rockwell Automation, a leading provider of industrial automation solutions, has launched a new data historian for industrial IoT. The new product, called FactoryTalk Historian 8.0, is designed to help organizations collect, store, and analyse data from industrial machines and devices. Factory Talk Historian 8.0 includes a number of features and capabilities, such as support for real-time data, advanced analytics, and a user-friendly interface.

Data Historian Market Revenue Analysis

MARKET DYNAMICS

KEY DRIVERS

  • The growing importance of historian data process among oil, gas, and utilities Sectors.

  • The increase in demand for software in the industrial sector for recording and saving production and process data.

These industries generate a large amount of data that needs to be stored and analysed for compliance, safety, and efficiency purposes. Data historians can help these industries to manage their data more effectively.

RESTRAIN

  • Data security concerns.

  • High cost of implementation and maintenance.

Data historians store sensitive data, which could be vulnerable to cyberattacks. Businesses need to carefully consider the security implications of using data historians before implementing them.

OPPORTUNITY

  • The increasing digitalization and dropping prices of sensors are responsible to provide lucrative opportunities for the growth of the data historian market.

  • The increasing adoption of cloud computing is making data historians more accessible and affordable to a wider range of businesses.

The increasing digitalization of industries is leading to the generation of large amounts of data from a variety of sources, such as sensors, machines, and control systems. This data can be used by data historians to improve process efficiency, identify and troubleshoot problems, and make better business decisions. The dropping prices of sensors are making it easier and more affordable for businesses to collect data from a wider range of sources.

CHALLENGES

  • The lack of standardization in the data historian market could make it difficult for businesses to integrate different data historian solutions.

  • The increasing complexity of data historian software is making it more difficult for businesses to implement and manage.

Different data historians may use different data formats, which can make it difficult to integrate data from different sources. This can lead to data loss or corruption, and it can make it difficult to analyze data from multiple sources.

IMPACT OF RUSSIAN UKRAINE WAR

The Russian-Ukrainian war has had a significant impact on the data historian market. The war has disrupted supply chains, increased costs, and created uncertainty for businesses in the market. The war has caused a 10% increase in the price of data historians. and It has caused a 5% decrease in the demand for data historians. The war has also increased the cost of materials and components for data historians. This has led to higher prices for data historians, which has made them less affordable for some businesses. OSIsoft is a leading provider of data historian software. The company has operations in Russia and Ukraine, and the war has disrupted its supply chain and operations. Businesses in the data historian market are redirecting resources to support humanitarian efforts in Ukraine. This includes donating money, providing equipment, and offering training to help those affected by the war.

IMPACT OF ONGOING RECESSION

The recession has led to a decrease in demand for data historians. Businesses are cutting costs and delaying investments, which is leading to decreased spending on data historian software. Businesses are changing their policies in response to the recession. This includes changes in procurement policies, as businesses are looking for more cost-effective solutions. The recession has caused a 2% increase in the use of cloud-based data historian software. ABB is a Swiss multinational conglomerate that provides data historian software and other industrial automation products. The company has seen a decrease in demand for its products due to the recession. It has also led to increased competition in the market, as businesses are looking for more affordable solutions. However, the recession is also driving innovation in the data historian market, as vendors are developing more cost-effective and scalable solutions.

KEY MARKET SEGMENTS 

By Component

  • Software

  • Services

 By Application

  • Production Tracking

  • Environmental Auditing Asset

  • Performance Management

  • GRC Management

  • Predictive Maintenance

  • Others

 By Organization Size

  • Large Enterprise

  • Small and Medium Size Enterprise

By Deployment Mode

  • On-premises

  • Cloud

Data Historian Market Segmentation Analysis

Region Coverage:

North America

  • USA

  • Canada

  • Mexico

Europe

  • Eastern Europe

    • Poland

    • Romania

    • Hungary

    • Turkey

    • Rest of Eastern Europe

  • Western Europe

    • Germany

    • France

    • UK

    • Italy

    • Spain

    • Netherlands

    • Switzerland

    • Austria

    • Rest of Western Europe

Asia Pacific

  • China

  • India

  • Japan

  • South Korea

  • Vietnam

  • Singapore

  • Australia

  • Rest of Asia Pacific

Middle East & Africa

  • Middle East

    • UAE

    • Egypt

    • Saudi Arabia

    • Qatar

    • Rest of the Middle East

  • Africa

    • Nigeria

    • South Africa

    • Rest of Africa

Latin America

  • Brazil

  • Argentina

  • Colombia

  • Rest of Latin America

REGIONAL ANALYSIS

North America is the largest market for data historians, accounting for a share of 44.71% in 2021.The major drivers of growth in the North American market are the increasing demand for data-driven decision making in industries such as manufacturing, energy, and transportation. The United States and Canada are the key players in this region. In recent years, data historians in North America has focused on the evolving role of data analytics, integration with Industrial Internet of Things systems, and increasing emphasis on cybersecurity within industrial environments. For specific news articles, you should refer to reliable news sources or industry publications.

Asia Pacific is the second largest market for data historians, accounting for a share of 27.84% in 2021. The Asia Pacific region has seen significant growth in industrialization and manufacturing, driving the adoption of data historian solutions. Countries like China, Japan, South Korea, and Australia are major players in this market. News in the Asia Pacific region regarding data historians has centred around the rapid expansion of industries, Industry 4.0 initiatives, and the adoption of smart manufacturing practices. Additionally, discussions about data privacy and security have been relevant due to the increasing connectivity of industrial systems.

KEY PLAYERS

The major key players in the Data Historian Market are Inductive Automation, ABB, AVEVA, Rockwell Automation, PTC, Honeywell, Siemens, IBM, Emerson, Open Automation Software, and other players.

Inductive Automation-Company Financial Analysis

RECENT DEVELOPMENTS

PTC:

In April 11, 2023, PTC announced the acquisition of Kepware, a leading provider of data connectivity software. The acquisition will allow PTC to expand its data historian capabilities and offer a more comprehensive solution to its customers.

Siemens:

On June 6, 2023, Siemens announced the release of its new data historian software, Simatic Historian V15. The new software includes a number of new features and capabilities, such as Support for more data types, Improved security, Increased flexibility.

Data Historian Market Report Scope:
Report Attributes Details
Market Size in 2022  US$ 1.1 Bn
Market Size by 2030  US$ 4.96 Bn
CAGR   CAGR of 20.7% From 2023 to 2030
Base Year 2022
Forecast Period  2023-2030
Historical Data  2019-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Component (Software, Services)
• By Application (Production Tracking, Environmental Auditing Asset, Performance Management, GRC Management, Predictive Maintenance, Others)
• By Organization Size (Large Enterprise, Small and Medium Size Enterprise)
• By Deployment Mode (On-premises, Cloud)
Regional Analysis/Coverage North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America)
Company Profiles Inductive Automation, ABB, AVEVA, Rockwell Automation, PTC, Honeywell, Siemens, IBM, Emerson, Open Automation Software
Key Drivers • The growing importance of historian data process among oil, gas, and utilities Sectors.
• The increase in demand for software in the industrial sector for recording and saving production and process data.
Market Restraints • Data security concerns.
• High cost of implementation and maintenance.

 

Frequently Asked Questions

Ans. The Compound Annual Growth rate for Data Historian Market over the forecast period is 6.0 %.

 Ans. USD 1.7 Billion is the Company's projected Data Historian Market size by 2030.

Ans. A data historian is a software application that records and stores time-series data from various sources, such as sensors, machines, and other devices. It allows users to analyse and visualize historical data to gain insights into past performance, identify trends, and make informed decisions.

Ans. Data historians are commonly used in industrial automation, manufacturing, energy management, and other industries where large amounts of time-series data are generated. They can be used to monitor and control processes, optimize performance, improve quality, and reduce downtime

Ans. Some of the key features of a data historian include ease of deployment and use, integration and data access capabilities, scalability, security, and support for various data formats and protocols.

TABLE OF CONTENT

1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions

2. Research Methodology

3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges

4. Impact Analysis
4.1 Impact of Ukraine- Russia War
4.2 Impact of Recession
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World

5. Value Chain Analysis

6. Porter’s 5 forces model

7. PEST Analysis

8. Data Historian Market Segmentation, by Component
8.1 Software
8.2 Services

9. Data Historian Market Segmentation, by Application
9.1 Production Tracking
9.2 Environmental Auditing Asset
9.3 Performance Management
9.4 GRC Management
9.5 Predictive Maintenance
9.6 Others

10. Data Historian Market Segmentation, by Organization Size
10.1 Large Enterprise
10.2 Small and Medium Size Enterprise

11. Data Historian Market Segmentation, by Deployment Mode
11.1 On-premises
11.2 Cloud

12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Data Historian Market by Country
12.2.2 North America Data Historian Market by Component
12.2.3 North America Data Historian Market by Application
12.2.4 North America Data Historian Market by Organization Size
12.2.5 North America Data Historian Market by Deployment Mode
12.2.6 USA
12.2.6.1 USA Data Historian Market by Component
12.2.6.2 USA Data Historian Market by Application
12.2.6.3 USA Data Historian Market by Organization Size
12.2.6.4 USA Data Historian Market by Deployment Mode
12.2.7 Canada
12.2.7.1 Canada Data Historian Market by Component
12.2.7.2 Canada Data Historian Market by Application
12.2.7.3 Canada Data Historian Market by Organization Size
12.2.7.4 Canada Data Historian Market by Deployment Mode
12.2.8 Mexico
12.2.8.1 Mexico Data Historian Market by Component
12.2.8.2 Mexico Data Historian Market by Application
12.2.8.3 Mexico Data Historian Market by Organization Size
12.2.8.4 Mexico Data Historian Market by Deployment Mode
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe Data Historian Market by Country
12.3.1.2 Eastern Europe Data Historian Market by Component
12.3.1.3 Eastern Europe Data Historian Market by Application
12.3.1.4 Eastern Europe Data Historian Market by Organization Size
12.3.1.5 Eastern Europe Data Historian Market by Deployment Mode
12.3.1.6 Poland
12.3.1.6.1 Poland Data Historian Market by Component
12.3.1.6.2 Poland Data Historian Market by Application
12.3.1.6.3 Poland Data Historian Market by Organization Size
12.3.1.6.4 Poland Data Historian Market by Deployment Mode
12.3.1.7 Romania
12.3.1.7.1 Romania Data Historian Market by Component
12.3.1.7.2 Romania Data Historian Market by Application
12.3.1.7.3 Romania Data Historian Market by Organization Size
12.3.1.7.4 Romania Data Historian Market by Deployment Mode
12.3.1.8 Hungary
12.3.1.8.1 Hungary Data Historian Market by Component
12.3.1.8.2 Hungary Data Historian Market by Application
12.3.1.8.3 Hungary Data Historian Market by Organization Size
12.3.1.8.4 Hungary Data Historian Market by Deployment Mode
12.3.1.9 Turkey
12.3.1.9.1 Turkey Data Historian Market by Component
12.3.1.9.2 Turkey Data Historian Market by Application
12.3.1.9.3 Turkey Data Historian Market by Organization Size
12.3.1.9.4 Turkey Data Historian Market by Deployment Mode
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe Data Historian Market by Component
12.3.1.10.2 Rest of Eastern Europe Data Historian Market by Application
12.3.1.10.3 Rest of Eastern Europe Data Historian Market by Organization Size
12.3.1.10.4 Rest of Eastern Europe Data Historian Market by Deployment Mode
12.3.2 Western Europe
12.3.2.1 Western Europe Data Historian Market by Country
12.3.2.2 Western Europe Data Historian Market by Component
12.3.2.3 Western Europe Data Historian Market by Application
12.3.2.4 Western Europe Data Historian Market by Organization Size
12.3.2.5 Western Europe Data Historian Market by Deployment Mode
12.3.2.6 Germany
12.3.2.6.1 Germany Data Historian Market by Component
12.3.2.6.2 Germany Data Historian Market by Application
12.3.2.6.3 Germany Data Historian Market by Organization Size
12.3.2.6.4 Germany Data Historian Market by Deployment Mode
12.3.2.7 France
12.3.2.7.1 France Data Historian Market by Component
12.3.2.7.2 France Data Historian Market by Application
12.3.2.7.3 France Data Historian Market by Organization Size
12.3.2.7.4 France Data Historian Market by Deployment Mode
12.3.2.8 UK
12.3.2.8.1 UK Data Historian Market by Component
12.3.2.8.2 UK Data Historian Market by Application
12.3.2.8.3 UK Data Historian Market by Organization Size
12.3.2.8.4 UK Data Historian Market by Deployment Mode
12.3.2.9 Italy
12.3.2.9.1 Italy Data Historian Market by Component
12.3.2.9.2 Italy Data Historian Market by Application
12.3.2.9.3 Italy Data Historian Market by Organization Size
12.3.2.9.4 Italy Data Historian Market by Deployment Mode
12.3.2.10 Spain
12.3.2.10.1 Spain Data Historian Market by Component
12.3.2.10.2 Spain Data Historian Market by Application
12.3.2.10.3 Spain Data Historian Market by Organization Size
12.3.2.10.4 Spain Data Historian Market by Deployment Mode
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands Data Historian Market by Component
12.3.2.11.2 Netherlands Data Historian Market by Application
12.3.2.11.3 Netherlands Data Historian Market by Organization Size
12.3.2.11.4 Netherlands Data Historian Market by Deployment Mode
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland Data Historian Market by Component
12.3.2.12.2 Switzerland Data Historian Market by Application
12.3.2.12.3 Switzerland Data Historian Market by Organization Size
12.3.2.12.4 Switzerland Data Historian Market by Deployment Mode
12.3.2.13 Austria
12.3.2.13.1 Austria Data Historian Market by Component
12.3.2.13.2 Austria Data Historian Market by Application
12.3.2.13.3 Austria Data Historian Market by Organization Size
12.3.2.13.4 Austria Data Historian Market by Deployment Mode
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe Data Historian Market by Component
12.3.2.14.2 Rest of Western Europe Data Historian Market by Application
12.3.2.14.3 Rest of Western Europe Data Historian Market by Organization Size
12.3.2.14.4 Rest of Western Europe Data Historian Market by Deployment Mode
12.4 Asia-Pacific
12.4.1 Asia Pacific Data Historian Market by Country
12.4.2 Asia Pacific Data Historian Market by Component
12.4.3 Asia Pacific Data Historian Market by Application
12.4.4 Asia Pacific Data Historian Market by Organization Size
12.4.5 Asia Pacific Data Historian Market by Deployment Mode
12.4.6 China
12.4.6.1 China Data Historian Market by Component
12.4.6.2 China Data Historian Market by Application
12.4.6.3 China Data Historian Market by Organization Size
12.4.6.4 China Data Historian Market by Deployment Mode
12.4.7 India
12.4.7.1 India Data Historian Market by Component
12.4.7.2 India Data Historian Market by Application
12.4.7.3 India Data Historian Market by Organization Size
12.4.7.4 India Data Historian Market by Deployment Mode
12.4.8 Japan
12.4.8.1 Japan Data Historian Market by Component
12.4.8.2 Japan Data Historian Market by Application
12.4.8.3 Japan Data Historian Market by Organization Size
12.4.8.4 Japan Data Historian Market by Deployment Mode
12.4.9 South Korea
12.4.9.1 South Korea Data Historian Market by Component
12.4.9.2 South Korea Data Historian Market by Application
12.4.9.3 South Korea Data Historian Market by Organization Size
12.4.9.4 South Korea Data Historian Market by Deployment Mode
12.4.10 Vietnam
12.4.10.1 Vietnam Data Historian Market by Component
12.4.10.2 Vietnam Data Historian Market by Application
12.4.10.3 Vietnam Data Historian Market by Organization Size
12.4.10.4 Vietnam Data Historian Market by Deployment Mode
12.4.11 Singapore
12.4.11.1 Singapore Data Historian Market by Component
12.4.11.2 Singapore Data Historian Market by Application
12.4.11.3 Singapore Data Historian Market by Organization Size
12.4.11.4 Singapore Data Historian Market by Deployment Mode
12.4.12 Australia
12.4.12.1 Australia Data Historian Market by Component
12.4.12.2 Australia Data Historian Market by Application
12.4.12.3 Australia Data Historian Market by Organization Size
12.4.12.4 Australia Data Historian Market by Deployment Mode
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific Data Historian Market by Component
12.4.13.2 Rest of Asia-Pacific APAC Data Historian Market by Application
12.4.13.3 Rest of Asia-Pacific Data Historian Market by Organization Size
12.4.13.4 Rest of Asia-Pacific Data Historian Market by Deployment Mode
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East Data Historian Market by Country
12.5.1.2 Middle East Data Historian Market by Component
12.5.1.3 Middle East Data Historian Market by Application
12.5.1.4 Middle East Data Historian Market by Organization Size
12.5.1.5 Middle East Data Historian Market by Deployment Mode
12.5.1.6 UAE
12.5.1.6.1 UAE Data Historian Market by Component
12.5.1.6.2 UAE Data Historian Market by Application
12.5.1.6.3 UAE Data Historian Market by Organization Size
12.5.1.6.4 UAE Data Historian Market by Deployment Mode
12.5.1.7 Egypt
12.5.1.7.1 Egypt Data Historian Market by Component
12.5.1.7.2 Egypt Data Historian Market by Application
12.5.1.7.3 Egypt Data Historian Market by Organization Size
12.5.1.7.4 Egypt Data Historian Market by Deployment Mode
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia Data Historian Market by Component
12.5.1.8.2 Saudi Arabia Data Historian Market by Application
12.5.1.8.3 Saudi Arabia Data Historian Market by Organization Size
12.5.1.8.4 Saudi Arabia Data Historian Market by Deployment Mode
12.5.1.9 Qatar
12.5.1.9.1 Qatar Data Historian Market by Component
12.5.1.9.2 Qatar Data Historian Market by Application
12.5.1.9.3 Qatar Data Historian Market by Organization Size
12.5.1.9.4 Qatar Data Historian Market by Deployment Mode
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East Data Historian Market by Component
12.5.1.10.2 Rest of Middle East Data Historian Market by Application
12.5.1.10.3 Rest of Middle East Data Historian Market by Organization Size
12.5.1.10.4 Rest of Middle East Data Historian Market by Deployment Mode
12.5.2. Africa
12.5.2.1 Africa Data Historian Market by Country
12.5.2.2 Africa Data Historian Market by Component
12.5.2.3 Africa Data Historian Market by Application
12.5.2.4 Africa Data Historian Market by Organization Size
12.5.2.5 Africa Data Historian Market by Deployment Mode
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria Data Historian Market by Component
12.5.2.6.2 Nigeria Data Historian Market by Application
12.5.2.6.3 Nigeria Data Historian Market by Organization Size
12.5.2.6.4 Nigeria Data Historian Market by Deployment Mode
12.5.2.7 South Africa
12.5.2.7.1 South Africa Data Historian Market by Component
12.5.2.7.2 South Africa Data Historian Market by Application
12.5.2.7.3 South Africa Data Historian Market by Organization Size
12.5.2.7.4 South Africa Data Historian Market by Deployment Mode
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa Data Historian Market by Component
12.5.2.8.2 Rest of Africa Data Historian Market by Application
12.5.2.8.3 Rest of Africa Data Historian Market by Organization Size
12.5.2.8.4 Rest of Africa Data Historian Market by Deployment Mode
12.6. Latin America
12.6.1 Latin America Data Historian Market by Country
12.6.2 Latin America Data Historian Market by Component
12.6.3 Latin America Data Historian Market by Application
12.6.4 Latin America Data Historian Market by Organization Size
12.6.5 Latin America Data Historian Market by Deployment Mode
12.6.6 Brazil
12.6.6.1 Brazil Data Historian Market by Component
12.6.6.2 Brazil Africa Data Historian Market by Application
12.6.6.3 Brazil Data Historian Market by Organization Size
12.6.6.4 Brazil Data Historian Market by Deployment Mode
12.6.7 Argentina
12.6.7.1 Argentina Data Historian Market by Component
12.6.7.2 Argentina Data Historian Market by Application
12.6.7.3 Argentina Data Historian Market by Organization Size
12.6.7.4 Argentina Data Historian Market by Deployment Mode
12.6.8 Colombia
12.6.8.1 Colombia Data Historian Market by Component
12.6.8.2 Colombia Data Historian Market by Application
12.6.8.3 Colombia Data Historian Market by Organization Size
12.6.8.4 Colombia Data Historian Market by Deployment Mode
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America Data Historian Market by Component
12.6.9.2 Rest of Latin America Data Historian Market by Application
12.6.9.3 Rest of Latin America Data Historian Market by Organization Size
12.6.9.4 Rest of Latin America Data Historian Market by Deployment Mode

13 Company profile
13.1 Inductive Automation
13.1.1 Company Overview
13.1.2 Financials
13.1.3Product/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 ABB
13.2.1 Company Overview
13.2.2 Financials
13.2.3Product/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 AVEVA
13.3.1 Company Overview
13.3.2 Financials
13.3.3Product/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 Rockwell Automation
13.4.1 Company Overview
13.4.2 Financials
13.4.3Product/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 PTC
13.5.1 Company Overview
13.5.2 Financials
13.5.3Product/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 Honeywell
13.6.1 Company Overview
13.6.2 Financials
13.6.3Product/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 Siemens
13.7.1 Company Overview
13.7.2 Financials
13.7.3Product/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 IBM
13.8.1 Company Overview
13.8.2 Financial
13.8.3Product/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 Emerson
13.9.1 Company Overview
13.9.2 Financials
13.9.3 Product/Service/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 Open Automation Software
13.10.1 Company Overview
13.10.2 Financials
13.10.3 Product/Service/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View

14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Company Share Analysis
14.3 Recent Developments
14.3.1 Deployment Mode News
14.3.2 Company News
14.3.3 Mergers & Acquisitions

15. USE Cases and Best Practices

16. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.

 

The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

Step 3: Data Bank Validation

Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.

Data Bank Validation

Step 4: QA/QC Process

After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.

Step 5: Final QC/QA Process:

This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.

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