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The industrial automation software market size is forecast to increase by USD 4.80 billion at a CAGR of 2.34% between 2023 and 2028.
The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD billion" for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
SCADA systems play a crucial role in automating industrial processes by performing functions such as data acquisition, communication, presentation, and control. These systems are essential for monitoring and gathering real-time data from various industries, including mining and metals, food and beverages, and power. By interacting with devices such as sensors, pumps, valves, and other monitoring equipment, SCADA software enables remote process monitoring and optimization. The increasing demand for operational efficiency and cost optimization has led to the growing adoption of SCADA systems. However, with the rise of cyber threats such as Legal violations and Denial-of-Service Attacks, there is a growing need for advanced security features like Multi-Factor Authentication and Remote wipe technologies to ensure data security. SCADA systems are integral to industrial automation, enabling seamless communication between Programmable Logic Controllers (PLCs) and computers, ultimately optimizing industrial processes.
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The SCADA software segment was valued at USD 13.39 billion in 2018 and showed a gradual increase during the forecast period.
Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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The market in APAC is anticipated to experience significant growth, particularly in sectors such as power, oil and gas, automotive, and pulp and paper. In the power industry, countries like Myanmar and Australia are investing heavily in power generation and distribution, with Myanmar aiming to electrify the entire country by 2030 through coal-fired power plants, and Australia generating over 17% of its power mix from renewable energy in 2016. Furthermore, investments in smart cities in India, Japan, South Korea, and Singapore are expected to drive substantial growth in the power industry during the forecast period. Product lifecycle management, enterprise-level solutions, human machine interface, and cloud-based segments are poised for growth in the market. Companies are focusing on offering advanced features and integrating Industry 4.0 technologies to cater to the evolving demands of automation-driven industries.
Our market researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
The need to reduce overall operational expenses is the key driver of the market.
Integration of PLM and ERP in industrial automation software is the upcoming market trend.
Cybersecurity threats are key challenges affecting the industry's growth.
The market forecasting report includes the adoption lifecycle of the market, covering from the innovator's stage to the laggard's stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Companies are implementing various strategies, such as strategic alliances, market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry. The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Industrial automation software plays a pivotal role in the digital transformation of various industries, enabling enterprises to streamline their operations, enhance productivity, and reduce human errors. This market encompasses a broad spectrum of solutions designed to manage the product lifecycle, optimize human-machine interaction, and integrate various automation technologies. At the heart of industrial automation software are enterprise-level solutions that cater to the unique requirements of automation-driven industries. These solutions offer advanced human machine interfaces, allowing operators to interact seamlessly with machines and systems. They also provide cloud-based and on-premise deployment options, catering to the diverse needs of different organizations. It is increasingly being adopted across various sectors, including chemicals and materials, mining and metals, food and beverages, power, machine manufacturing, semiconductor and electronics, aerospace and defense, medical devices, and more. The primary drivers behind this trend include the need for time efficiency, skilled labor availability, and the integration of digital industrial technologies.
Additionally, the automation software market is characterized by the continuous evolution of automation technologies, such as machine vision, human-robot collaboration, and the Internet of Things (IoT). These technologies enable automatic operations, in-process control, and real-time data analysis, leading to increased productivity and improved design specifications. However, the adoption also presents challenges. Data security is a major concern, with potential threats such as control framework leaks, virtual machine conditions, and legal violations. To mitigate these risks, cloud automation solutions incorporate advanced security features, including multi-factor authentication, remote wipe technologies, and denial-of-service attack prevention. The market is dynamic, with constant shifts in technology trends and customer demands. Companies must adapt to these changes to remain competitive, focusing on system integration capabilities, 24/7 operations, and dynamic schedules. This requires a deep understanding of the market dynamics and the ability to provide customized solutions tailored to specific industry needs.
In summary, the market is a critical component of the digital industrial revolution, offering significant benefits in terms of productivity, efficiency, and safety. As the market continues to evolve, companies must stay abreast of the latest trends and technologies to meet the evolving needs of their customers and maintain a competitive edge.
Industrial Automation Software Market Scope |
|
Report Coverage |
Details |
Page number |
192 |
Base year |
2023 |
Historic period |
2018-2022 |
Forecast period |
2024-2028 |
Growth momentum & CAGR |
Accelerate at a CAGR of 2.34% |
Market growth 2024-2028 |
USD 4.80 billion |
Market structure |
Fragmented |
YoY growth 2023-2024(%) |
2.26 |
Key countries |
US, China, Germany, Japan, and UK |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Product
7 Market Segmentation by End-user
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Opportunity/Restraints
11 Competitive Landscape
12 Competitive Analysis
13 Appendix
Research Framework
Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.
INFORMATION SOURCES
Primary sources
Secondary sources
DATA ANALYSIS
Data Synthesis
Data Validation
REPORT WRITING
Qualitative
Quantitative
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