Global Data Historian Market Synopsis

The Data Historian market was worth USD 1.23 Billion in 2023. As such, the forecast is that the market is expected to reach USD 1.96 Billion by  2032 with a CAGR of 5.3% over the period from 2024 to 2032.

A data historian is a software program that records the data of processes running in a computer system. Organizations use data historians to gather information about the operation of programs to diagnose failures when reliability and uptime are critical.

• The data historian market is fueled by the increasing adoption of the Industrial Internet of Things (IIoT) and big data analytics across various industries. Data historians are specialized software solutions designed to collect, store, and analyze time-series data generated by industrial processes and equipment. They provide insights for process optimization, predictive maintenance, regulatory compliance, and overall operational efficiency.
• The growing demand for real-time data analytics, the need for asset performance management, and the rise of smart manufacturing initiatives. Industries such as manufacturing, energy and utilities, oil and gas, pharmaceuticals, and automotive are among the major adopters of data historian solutions.
• The market is characterized by a diverse range of vendors offering both on-premises and cloud-based data historian solutions. Established players have long been dominant in this space, offering robust and scalable solutions tailored to the needs of industrial customers.
• The data historian market is expected to continue its growth trajectory, driven by factors such as the increasing digitization of industrial processes, the proliferation of connected devices, and the growing importance of data-driven insights in optimizing operational performance and ensuring regulatory compliance.
• The number of Internet of Things (IoT) devices worldwide was 9.76 billion in 2020. In 2023, there were 15.14 billion consumer devices. IoT devices are used in all types of industry verticals and consumer markets, with the consumer segment accounting for around 60 percent of all IoT-connected devices in 2020.

Global Data Historian Market Trend Analysis

Demand For Consolidated Data to Improve Processes And Performance

• The Data Historian Market is experiencing a surge in demand driven by the need for consolidated data to enhance processes and performance across various industries. Data historians play a critical role in capturing, storing, and analyzing time-series data from industrial processes, machinery, and equipment. These solutions enable organizations to effectively monitor operations, identify trends, troubleshoot issues, and optimize performance.
• Data Historian Market is the growing emphasis on data-driven decision-making. Businesses recognize the importance of leveraging historical data to gain insights into past performance, predict future trends, and make informed decisions. Data historians provide a centralized repository for storing vast amounts of time-stamped data, enabling organizations to conduct thorough analyses and extract valuable insights.
• As organizations strive for operational excellence and seek to optimize their processes, the demand for advanced analytics capabilities within data historian platforms is on the rise. Features such as predictive maintenance, anomaly detection, and machine learning algorithms enable organizations to proactively identify potential issues, optimize resource utilization, and drive continuous improvement initiatives.

Advancements in analytics Create an Opportunity for the Global Data Historian Market

• The integration of advanced analytics techniques within Data Historian platforms. Traditional Data Historians have primarily focused on data storage and retrieval, providing a historical record of process variables. With the advent of machine learning, artificial intelligence, and predictive analytics, Data Historians can now offer much more than mere data archival.
• By leveraging advanced analytics capabilities, Data Historians can provide actionable insights in real-time, enabling businesses to optimize operations, improve efficiency, and reduce downtime. Predictive maintenance, for instance, utilizes historical data to forecast equipment failures before they occur, allowing for proactive maintenance interventions and minimizing costly downtime.
• The integration of AI-driven anomaly detection algorithms within Data Historians enables the early identification of deviations from normal operating conditions. This proactive approach not only enhances operational efficiency but also improves quality control and ensures regulatory compliance.
• Data Historians with Industrial Internet of Things (IIoT) devices and sensors. The proliferation of connected devices across industrial environments generates vast streams of real-time data, which can be seamlessly integrated with Data Historians for comprehensive analysis. This convergence of IIoT and Data Historians enables businesses to gain deeper insights into their operations, identify optimization opportunities, and drive informed decision-making.

Global Data Historian Market Segment Analysis:

Global Data Historian Market is Segment divided into Component, Application, Deployment Mode, Organization Size, and End User.

By Component, the Software/Tools segment is expected to dominate the market during the forecast period.

• Data historians are vital tools for organizations across various sectors, enabling them to collect, store, and analyze vast amounts of time-series data for operational insights and decision-making. Within this market, the Software/Tools segment encompasses a wide array of offerings tailored to meet the diverse needs of businesses, driving its dominance.
• Software/Tools segment benefits from the increasing adoption of advanced analytics and machine learning techniques within industries. These tools offer sophisticated functionalities for data analysis, visualization, and predictive modeling, empowering businesses to extract actionable insights from historical data stored in data historians. As organizations seek to derive greater value from their data assets, they are increasingly turning to feature-rich software solutions that enhance their analytical capabilities.
• Software vendors are thus innovating to deliver scalable, interoperable platforms that seamlessly integrate with existing infrastructure, further bolstering the dominance of the Software/Tools segment.

By End User, the IT and data centers segment held the largest share of 29.5% in 2023.

• The IT and data centers segment dominates the Data Historian Market by End User. With the exponential growth in data generation and storage requirements within these sectors, the demand for efficient data management solutions like data historians is escalating. Data historians play a pivotal role in these environments by capturing, storing, and analyzing vast amounts of historical data from various sources, enabling informed decision-making, troubleshooting, and performance optimization.
• In IT and data center operations, where uptime, reliability, and efficiency are paramount, data historians provide valuable insights into system performance, resource utilization, and predictive maintenance. Moreover, with the increasing adoption of cloud computing, edge computing, and IoT devices, the need for robust data management solutions offered by data historians becomes even more pronounced, solidifying the dominance of this segment in the market landscape.

Global Data Historian Market Regional Insights:

North America is Expected to Dominate the Market Over the Forecast Period

• North America is poised to assert dominance in the Data Historian Market, driven by factors such as technological advancements, widespread adoption of Industrial Internet of Things (IIoT) solutions, and the presence of major market players. The region's mature industrial infrastructure and a high concentration of key industries like manufacturing, energy, and healthcare contribute to its leading position.
• Moreover, stringent regulatory requirements regarding data management and the need for real-time analytics further fuel the demand for data historian solutions. Additionally, initiatives aimed at digital transformation across various sectors bolster market growth. With a strong emphasis on innovation and a robust technological ecosystem, North America is anticipated to maintain its prominent position in the global data historian market, offering lucrative opportunities for market players and stakeholders alike.

Global Data Historian Market Top Key Players:

• GE (US)
• ABB (Switzerland)
• Emerson (US)
• Siemens (Germany)
• AVEVA (UK)
• Honeywell (US)
• Rockwell Automation (US)
• OSIsoft (US)
• ICONICS (US)
• IBM (US)
• Yokogawa (Japan)
• PTC (US)
• Inductive Automation (US)
• Canary Labs (US)
• Open Automation Software (US)
• InfluxData (US)
• Progea (Italy)
• Kx Systems (US)
• SORBA (US)
• Savigent Software (US)
• Automsoft (Ireland)
• LiveData Utilities (US)
• Industrial Video & Control (US)
• Aspen Technology (US)
• COPA-DATA (Austria), Other Active players

Key Industry Developments:-

• In March  2024: TDengine announced the release of a new connector to integrate Wonderware Historian (now known as AVEVA Historian) into its industrial data platform. With the addition of this connector, TDengine now offers a zero-code option for replicating Wonderware data to TDengine out-of-the-box, expanding its efforts to assist industrial enterprises in accelerating digital transformation and modernizing their data infrastructure.
• In October 2023: TDengine, the next-generation data historian, announced the release of new connectors to support OPC-UA, OPC-DA, and MQTT protocols. These connectors deliver a zero-code solution to easily ingest Industrial Internet of Things (IIoT) data into the TDengine platform, giving enterprises an accessible and affordable solution for modern data management and analytics.
• In July 2023, TDengine, the popular open-source time-series data platform, announced today that TDengine Cloud is available for purchase in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors (ISVs) that makes it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS).

Chapter 1: Introduction
 1.1 Research Objectives
 1.2 Research Methodology
 1.3 Research Process
 1.4 Scope and Coverage
  1.4.1 Market Definition
  1.4.2 Key Questions Answered
 1.5 Market Segmentation

Chapter 2:Executive Summary

Chapter 3:Growth Opportunities By Segment
 3.1 By Type
 3.2 By Application

Chapter 4: Market Landscape
 4.1 Porter's Five Forces Analysis
  4.1.1 Bargaining Power of Supplier
  4.1.2 Threat of New Entrants
  4.1.3 Threat of Substitutes
  4.1.4 Competitive Rivalry
  4.1.5 Bargaining Power Among Buyers
 4.2 Industry Value Chain Analysis
 4.3 Market Dynamics
  3.5.1 Drivers
  3.5.2 Restraints
  3.5.3 Opportunities
  3.5.4 Challenges
 4.4 Pestle Analysis
 4.5 Technological Roadmap
 4.6 Regulatory Landscape
 4.7 SWOT Analysis
 4.8 Price Trend Analysis
 4.9 Patent Analysis
 4.10 Analysis of the Impact of Covid-19
  4.10.1 Impact on the Overall Market
  4.10.2 Impact on the Supply Chain
  4.10.3 Impact on the Key Manufacturers
  4.10.4 Impact on the Pricing

Chapter 4: Data Historian Market by Type
 4.1 Data Historian Market Overview Snapshot and Growth Engine
 4.2 Data Historian Market Overview
 4.3 On-Premises
  4.3.1 Introduction and Market Overview
  4.3.2 Historic and Forecasted Market Size (2016-2028F)
  4.3.3 Key Market Trends, Growth Factors and Opportunities
  4.3.4 On-Premises: Grographic Segmentation
 4.4 Cloud
  4.4.1 Introduction and Market Overview
  4.4.2 Historic and Forecasted Market Size (2016-2028F)
  4.4.3 Key Market Trends, Growth Factors and Opportunities
  4.4.4 Cloud: Grographic Segmentation

Chapter 5: Data Historian Market by Application
 5.1 Data Historian Market Overview Snapshot and Growth Engine
 5.2 Data Historian Market Overview
 5.3 Application A
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size (2016-2028F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Application A: Grographic Segmentation
 5.4 Application B
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size (2016-2028F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Application B: Grographic Segmentation
 5.5 Application C
  5.5.1 Introduction and Market Overview
  5.5.2 Historic and Forecasted Market Size (2016-2028F)
  5.5.3 Key Market Trends, Growth Factors and Opportunities
  5.5.4 Application C: Grographic Segmentation

Chapter 6: Company Profiles and Competitive Analysis
 6.1 Competitive Landscape
  6.1.1 Competitive Positioning
  6.1.2 Data Historian Sales and Market Share By Players
  6.1.3 Industry BCG Matrix
  6.1.4 Ansoff Matrix
  6.1.5 Data Historian Industry Concentration Ratio (CR5 and HHI)
  6.1.6 Top 5 Data Historian Players Market Share
  6.1.7 Mergers and Acquisitions
  6.1.8 Business Strategies By Top Players
 6.2 ABB
  6.2.1 Company Overview
  6.2.2 Key Executives
  6.2.3 Company Snapshot
  6.2.4 Operating Business Segments
  6.2.5 Product Portfolio
  6.2.6 Business Performance
  6.2.7 Key Strategic Moves and Recent Developments
  6.2.8 SWOT Analysis
 6.3 AVEVA GROUP
 6.4 GENERAL ELECTRIC
 6.5 HONEYWELL
 6.6 IBM
 6.7 SIEMENS
 6.8 YOKOGAWA
 6.9 ASPEN TECHNOLOGY
 6.10 EMERSON
 6.11 PTC
 6.12 ROCKWELL AUTOMATION
 6.13 ICONICS
 6.14 OSISOFT
 6.15 AUTOMSOFT
 6.16 CANARY LABS
 6.17 COPA-DATA

Chapter 7: Global Data Historian Market Analysis, Insights and Forecast, 2016-2028
 7.1 Market Overview
 7.2 Historic and Forecasted Market Size By Type
  7.2.1 On-Premises
  7.2.2 Cloud
 7.3 Historic and Forecasted Market Size By Application
  7.3.1 Application A
  7.3.2 Application B
  7.3.3 Application C

Chapter 8: North America Data Historian Market Analysis, Insights and Forecast, 2016-2028
 8.1 Key Market Trends, Growth Factors and Opportunities
 8.2 Impact of Covid-19
 8.3 Key Players
 8.4 Key Market Trends, Growth Factors and Opportunities
 8.4 Historic and Forecasted Market Size By Type
  8.4.1 On-Premises
  8.4.2 Cloud
 8.5 Historic and Forecasted Market Size By Application
  8.5.1 Application A
  8.5.2 Application B
  8.5.3 Application C
 8.6 Historic and Forecast Market Size by Country
  8.6.1 U.S.
  8.6.2 Canada
  8.6.3 Mexico

Chapter 9: Europe Data Historian Market Analysis, Insights and Forecast, 2016-2028
 9.1 Key Market Trends, Growth Factors and Opportunities
 9.2 Impact of Covid-19
 9.3 Key Players
 9.4 Key Market Trends, Growth Factors and Opportunities
 9.4 Historic and Forecasted Market Size By Type
  9.4.1 On-Premises
  9.4.2 Cloud
 9.5 Historic and Forecasted Market Size By Application
  9.5.1 Application A
  9.5.2 Application B
  9.5.3 Application C
 9.6 Historic and Forecast Market Size by Country
  9.6.1 Germany
  9.6.2 U.K.
  9.6.3 France
  9.6.4 Italy
  9.6.5 Russia
  9.6.6 Spain

Chapter 10: Asia-Pacific Data Historian Market Analysis, Insights and Forecast, 2016-2028
 10.1 Key Market Trends, Growth Factors and Opportunities
 10.2 Impact of Covid-19
 10.3 Key Players
 10.4 Key Market Trends, Growth Factors and Opportunities
 10.4 Historic and Forecasted Market Size By Type
  10.4.1 On-Premises
  10.4.2 Cloud
 10.5 Historic and Forecasted Market Size By Application
  10.5.1 Application A
  10.5.2 Application B
  10.5.3 Application C
 10.6 Historic and Forecast Market Size by Country
  10.6.1 China
  10.6.2 India
  10.6.3 Japan
  10.6.4 Southeast Asia

Chapter 11: South America Data Historian Market Analysis, Insights and Forecast, 2016-2028
 11.1 Key Market Trends, Growth Factors and Opportunities
 11.2 Impact of Covid-19
 11.3 Key Players
 11.4 Key Market Trends, Growth Factors and Opportunities
 11.4 Historic and Forecasted Market Size By Type
  11.4.1 On-Premises
  11.4.2 Cloud
 11.5 Historic and Forecasted Market Size By Application
  11.5.1 Application A
  11.5.2 Application B
  11.5.3 Application C
 11.6 Historic and Forecast Market Size by Country
  11.6.1 Brazil
  11.6.2 Argentina

Chapter 12: Middle East & Africa Data Historian Market Analysis, Insights and Forecast, 2016-2028
 12.1 Key Market Trends, Growth Factors and Opportunities
 12.2 Impact of Covid-19
 12.3 Key Players
 12.4 Key Market Trends, Growth Factors and Opportunities
 12.4 Historic and Forecasted Market Size By Type
  12.4.1 On-Premises
  12.4.2 Cloud
 12.5 Historic and Forecasted Market Size By Application
  12.5.1 Application A
  12.5.2 Application B
  12.5.3 Application C
 12.6 Historic and Forecast Market Size by Country
  12.6.1 Saudi Arabia
  12.6.2 South Africa

Chapter 13 Investment Analysis

Chapter 14 Analyst Viewpoint and Conclusion

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. DATA HISTORIAN MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. DATA HISTORIAN MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. DATA HISTORIAN MARKET COMPETITIVE RIVALRY
TABLE 005. DATA HISTORIAN MARKET THREAT OF NEW ENTRANTS
TABLE 006. DATA HISTORIAN MARKET THREAT OF SUBSTITUTES
TABLE 007. DATA HISTORIAN MARKET BY TYPE
TABLE 008. ON-PREMISES MARKET OVERVIEW (2016-2028)
TABLE 009. CLOUD MARKET OVERVIEW (2016-2028)
TABLE 010. DATA HISTORIAN MARKET BY APPLICATION
TABLE 011. APPLICATION A MARKET OVERVIEW (2016-2028)
TABLE 012. APPLICATION B MARKET OVERVIEW (2016-2028)
TABLE 013. APPLICATION C MARKET OVERVIEW (2016-2028)
TABLE 014. NORTH AMERICA DATA HISTORIAN MARKET, BY TYPE (2016-2028)
TABLE 015. NORTH AMERICA DATA HISTORIAN MARKET, BY APPLICATION (2016-2028)
TABLE 016. N DATA HISTORIAN MARKET, BY COUNTRY (2016-2028)
TABLE 017. EUROPE DATA HISTORIAN MARKET, BY TYPE (2016-2028)
TABLE 018. EUROPE DATA HISTORIAN MARKET, BY APPLICATION (2016-2028)
TABLE 019. DATA HISTORIAN MARKET, BY COUNTRY (2016-2028)
TABLE 020. ASIA PACIFIC DATA HISTORIAN MARKET, BY TYPE (2016-2028)
TABLE 021. ASIA PACIFIC DATA HISTORIAN MARKET, BY APPLICATION (2016-2028)
TABLE 022. DATA HISTORIAN MARKET, BY COUNTRY (2016-2028)
TABLE 023. MIDDLE EAST & AFRICA DATA HISTORIAN MARKET, BY TYPE (2016-2028)
TABLE 024. MIDDLE EAST & AFRICA DATA HISTORIAN MARKET, BY APPLICATION (2016-2028)
TABLE 025. DATA HISTORIAN MARKET, BY COUNTRY (2016-2028)
TABLE 026. SOUTH AMERICA DATA HISTORIAN MARKET, BY TYPE (2016-2028)
TABLE 027. SOUTH AMERICA DATA HISTORIAN MARKET, BY APPLICATION (2016-2028)
TABLE 028. DATA HISTORIAN MARKET, BY COUNTRY (2016-2028)
TABLE 029. ABB: SNAPSHOT
TABLE 030. ABB: BUSINESS PERFORMANCE
TABLE 031. ABB: PRODUCT PORTFOLIO
TABLE 032. ABB: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 032. AVEVA GROUP: SNAPSHOT
TABLE 033. AVEVA GROUP: BUSINESS PERFORMANCE
TABLE 034. AVEVA GROUP: PRODUCT PORTFOLIO
TABLE 035. AVEVA GROUP: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 035. GENERAL ELECTRIC: SNAPSHOT
TABLE 036. GENERAL ELECTRIC: BUSINESS PERFORMANCE
TABLE 037. GENERAL ELECTRIC: PRODUCT PORTFOLIO
TABLE 038. GENERAL ELECTRIC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 038. HONEYWELL: SNAPSHOT
TABLE 039. HONEYWELL: BUSINESS PERFORMANCE
TABLE 040. HONEYWELL: PRODUCT PORTFOLIO
TABLE 041. HONEYWELL: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 041. IBM: SNAPSHOT
TABLE 042. IBM: BUSINESS PERFORMANCE
TABLE 043. IBM: PRODUCT PORTFOLIO
TABLE 044. IBM: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 044. SIEMENS: SNAPSHOT
TABLE 045. SIEMENS: BUSINESS PERFORMANCE
TABLE 046. SIEMENS: PRODUCT PORTFOLIO
TABLE 047. SIEMENS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 047. YOKOGAWA: SNAPSHOT
TABLE 048. YOKOGAWA: BUSINESS PERFORMANCE
TABLE 049. YOKOGAWA: PRODUCT PORTFOLIO
TABLE 050. YOKOGAWA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 050. ASPEN TECHNOLOGY: SNAPSHOT
TABLE 051. ASPEN TECHNOLOGY: BUSINESS PERFORMANCE
TABLE 052. ASPEN TECHNOLOGY: PRODUCT PORTFOLIO
TABLE 053. ASPEN TECHNOLOGY: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 053. EMERSON: SNAPSHOT
TABLE 054. EMERSON: BUSINESS PERFORMANCE
TABLE 055. EMERSON: PRODUCT PORTFOLIO
TABLE 056. EMERSON: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 056. PTC: SNAPSHOT
TABLE 057. PTC: BUSINESS PERFORMANCE
TABLE 058. PTC: PRODUCT PORTFOLIO
TABLE 059. PTC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 059. ROCKWELL AUTOMATION: SNAPSHOT
TABLE 060. ROCKWELL AUTOMATION: BUSINESS PERFORMANCE
TABLE 061. ROCKWELL AUTOMATION: PRODUCT PORTFOLIO
TABLE 062. ROCKWELL AUTOMATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 062. ICONICS: SNAPSHOT
TABLE 063. ICONICS: BUSINESS PERFORMANCE
TABLE 064. ICONICS: PRODUCT PORTFOLIO
TABLE 065. ICONICS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 065. OSISOFT: SNAPSHOT
TABLE 066. OSISOFT: BUSINESS PERFORMANCE
TABLE 067. OSISOFT: PRODUCT PORTFOLIO
TABLE 068. OSISOFT: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 068. AUTOMSOFT: SNAPSHOT
TABLE 069. AUTOMSOFT: BUSINESS PERFORMANCE
TABLE 070. AUTOMSOFT: PRODUCT PORTFOLIO
TABLE 071. AUTOMSOFT: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 071. CANARY LABS: SNAPSHOT
TABLE 072. CANARY LABS: BUSINESS PERFORMANCE
TABLE 073. CANARY LABS: PRODUCT PORTFOLIO
TABLE 074. CANARY LABS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 074. COPA-DATA: SNAPSHOT
TABLE 075. COPA-DATA: BUSINESS PERFORMANCE
TABLE 076. COPA-DATA: PRODUCT PORTFOLIO
TABLE 077. COPA-DATA: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. DATA HISTORIAN MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. DATA HISTORIAN MARKET OVERVIEW BY TYPE
FIGURE 012. ON-PREMISES MARKET OVERVIEW (2016-2028)
FIGURE 013. CLOUD MARKET OVERVIEW (2016-2028)
FIGURE 014. DATA HISTORIAN MARKET OVERVIEW BY APPLICATION
FIGURE 015. APPLICATION A MARKET OVERVIEW (2016-2028)
FIGURE 016. APPLICATION B MARKET OVERVIEW (2016-2028)
FIGURE 017. APPLICATION C MARKET OVERVIEW (2016-2028)
FIGURE 018. NORTH AMERICA DATA HISTORIAN MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 019. EUROPE DATA HISTORIAN MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 020. ASIA PACIFIC DATA HISTORIAN MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 021. MIDDLE EAST & AFRICA DATA HISTORIAN MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 022. SOUTH AMERICA DATA HISTORIAN MARKET OVERVIEW BY COUNTRY (2016-2028)