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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1452441

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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1452441

Open Database Connectivity (ODBC) Market Size-By Operating System (Windows, macOS, Linux), Driver (Muti-tier, Single-tier), By Deployment Model (On-Premises, Cloud), By Organization Size (Large Organization, SME), By End-User & Forecast, 2024-2032

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PAGES: 200 Pages
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Global Open Database Connectivity (ODBC) Market size will register more than 19.5% CAGR from 2024 to 2032 due to technological advancements in data access solutions and the expanding digital landscape. With the rise of big data and the increasing complexity of data sources, efficient data integration and access have grown crucial. Open database connectivity (ODBC) renders versatility and compatibility with various databases, making it a preferred choice for organizations seeking streamlined data management. As businesses across industries embrace digital transformation, the demand for ODBC solutions to integrate and analyze vast datasets will surge, propelling the market forward. For instance, in August 2023, Amazon Timestream introduced an open-source ODBC driver, leveraging Microsoft's Open Database Connectivity. The driver enables seamless integration with applications like Excel and PowerBI for enhancing analysis capabilities for billions of data points through Timestream's robust query engine.

The ODBC industry is fragmented on the basis of operating system, driver, deployment model, organization size, end-user, and region.

The market value from the windows operating system segment will capture a remarkable revenue share by 2032, driven by widespread use in both personal and business computing environments. ODBC, a standard interface for accessing databases, is well-integrated with Windows systems, making it the preferred choice for many users. With a user-friendly interface and compatibility with a wide range of databases, the demand for Windows OS is slated to grow for catering to the needs of diverse users.

In terms of end-user, the open database connectivity industry from the IT and telecom segment will achieve significant CAGR through 2032. The growth is attributed to the heavy reliance on ODBC solutions in the IT and telecom sector to manage and access vast amounts of data. The ability of ODBC to seamlessly integrate with various databases and provide efficient data retrieval aligns perfectly with the needs of the IT and telecom sectors. With continuous growth in data-driven operations in the IT and telecom space, the segment is expected to witness steady expansion.

Asia Pacific open database connectivity market size will exhibit a noteworthy CAGR from 2024 to 2032, fueled by the increasing digitalization across industries, and expanding IT infrastructure. Countries like China, India, and Japan are at the forefront of rapid technological advancements, showcasing a strong demand for ODBC solutions to integrate and access diverse databases. The rising focus on innovation and technology adoption will further prove beneficial for the regional market growth

Product Code: 8005

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market scope & definitions
  • 1.2 Base estimates & calculations
  • 1.3 Forecast calculations
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 360 degree synopsis, 2018-2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 ODBC driver developers
    • 3.2.2 DBMS providers
    • 3.2.3 Technology providers
    • 3.2.4 End-user
  • 3.3 Profit margin analysis
  • 3.4 ODBC architecture
  • 3.5 Technology & innovation landscape
  • 3.6 Patent analysis
  • 3.7 Key news & initiatives
  • 3.8 Regulatory landscape
  • 3.9 Impact forces
    • 3.9.1 Growth drivers
      • 3.9.1.1 Increasing demand for real-time data access
      • 3.9.1.2 Rise of data warehousing
      • 3.9.1.3 Rising adoption of cloud-based solutions
      • 3.9.1.4 Increasing digital transformation initiatives
      • 3.9.1.5 Rapidly evolving database technologies
    • 3.9.2 Industry pitfalls & challenges
      • 3.9.2.1 High platform dependency
  • 3.10 Growth potential analysis
  • 3.11 Porter's analysis
    • 3.11.1 Supplier power
    • 3.11.2 Buyer power
    • 3.11.3 Threat of new entrants
    • 3.11.4 Threat of substitutes
    • 3.11.5 Industry rivalry
  • 3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Operating System, 2018-2032 ($Mn)

  • 5.1 Key trends
  • 5.2 Windows
  • 5.3 MacOS
  • 5.4 Linux
  • 5.5 Others

Chapter 6 Market Estimates & Forecast, By Driver, 2018-2032 ($Mn)

  • 6.1 Key trends
  • 6.2 Multi-tier
  • 6.3 Single-tier

Chapter 7 Market Estimates & Forecast, By Deployment Model, 2018-2032 ($Mn)

  • 7.1 Key trends
  • 7.2 On-premises
  • 7.3 Cloud

Chapter 8 Market Estimates & Forecast, By Organization Size, 2018-2032 ($Mn)

  • 8.1 Key trends
  • 8.2 Large organization
  • 8.3 SME

Chapter 9 Market Estimates & Forecast, By End-User, 2018-2032 ($Mn)

  • 9.1 Key trends
  • 9.2 BSFI
  • 9.3 Healthcare
  • 9.4 Manufacturing
  • 9.5 Retail &e-commerce
  • 9.6 IT and telecomm
  • 9.7 Government
  • 9.8 Others

Chapter 10 Market Estimates & Forecast, By Region, 2018-2032 ($Mn)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 UK
    • 10.3.2 Germany
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Russia
    • 10.3.7 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 South Korea
    • 10.4.5 ANZ
    • 10.4.6 Southeast Asia
    • 10.4.7 Rest of Asia Pacific
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Argentina
    • 10.5.4 Rest of Latin America
  • 10.6 MEA
    • 10.6.1 South Africa
    • 10.6.2 Saudi Arabia
    • 10.6.3 UAE
    • 10.6.4 Rest of MEA

Chapter 11 Company Profiles

  • 11.1 Amazon Web Service
  • 11.2 CData Software
  • 11.3 Databricks
  • 11.4 Devart
  • 11.5 Easysoft Limited
  • 11.6 Hewlett Packard Enterprise (HPE)
  • 11.7 IBM Corporation
  • 11.8 Informatica
  • 11.9 Insightsoftware
  • 11.10 Intersystems Corporation
  • 11.11 Microsoft Corporation
  • 11.12 OpenLink Software
  • 11.13 Oracle Corporation
  • 11.14 Posit software
  • 11.15 Progress Software Corporation
  • 11.16 SAP SE
  • 11.17 Sisense Ltd.
  • 11.18 Snoeflake
  • 11.19 Tableau
  • 11.20 Teradata
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Christine Sirois

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