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软体定义自动化 (SDA) 市场预测至 2030 年：按组件、应用、最终用户和地区进行的全球分析

Software-defined Automation Market Forecasts to 2030 - Global Analysis By Component (Software, Service and Other Components), Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球软体定义自动化 (SDA) 市场预计在 2024 年价值 338 亿美元，到 2030 年将达到 899 亿美元，预测期内的复合年增长率为 15.1%。

软体定义自动化 (SDA) 是一种使用软体平台、应用程式和智慧演算法管理 IT 和营运流程的灵活方法。它支援网路基础设施的远端配置和管理，减少人工干预和复杂性。 SDA 通常整合人工智慧、机器学习和云端运算等技术来优化效能并推动持续改进。这使组织能够自动执行日常任务，预测问题发生并提高系统可靠性。在网路环境中，SDA 抽象化了底层硬件，实现了更有效率的操作、扩展和灵活性。

提高复杂任务和流程自动化的效率和灵活性

软体定义自动化 (SDA) 可自动执行复杂任务，减少对人工干预的依赖并提高一致性。它允许您调整资源，优化配置和管理流量，从而缩短回应时间并提高吞吐量。它还可以加速决策并利用资料驱动的洞察力来即时回应市场需求。它还可以根据当前需求动态分配资源，从而实现更好的资源配置、最佳利用和减少浪费，从而促进市场成长。

初期投资高

实施软体定义自动化（SDA）的成本可能很高，尤其是对于资金有限的中小型企业。必须购买新的软体平台、先进的工具并升级硬体。它可能还需要专门的培训或聘请外部顾问。将 SDA 整合到旧有系统中可能会很昂贵，因为它需要对现有架构进行重大修订或彻底改革。这可能会增加整体计划成本并阻碍市场成长。

与新科技的融合

将 AI 和 ML 与智慧资料分析 (SDA) 结合可实现智慧自动化，使系统能够从资料中学习并随着时间的推移进行适应。人工智慧自动化透过检测异常、预测维护和自适应分配资源来提高系统效能。此外，人工智慧和机器学习能够实现自我优化和自我修復，使系统能够根据即时资料调整操作并自主检测和解决问题。

延长部署时间

较长的实施时间会延迟软体定义自动化 (SDA) 的优势（营运效率、成本节约、可扩展性等）的实现，并降低​​整体投资报酬率。公司可能会继续使用旧有系统和低效率的手动流程并错失潜在的利益。此外，长期实施可能会导致沮丧和动力不足，影响员工士气和内部团队。内部阻力和相关人员的脱离也可能阻碍这一进程，进一步阻碍SDA实施的整体成功。

COVID-19 的影响

由于企业寻求在封锁期间提高业务效率并减少对手动任务的依赖，COVID-19 疫情加速了软体定义自动化 (SDA) 的采用。远端工作、供应链中断以及对敏捷IT基础设施的需求刺激了对自动化解决方案的需求。然而，由于预算削减、资源缺乏和劳动力限制，一些公司在采用 SDA 方面面临延迟。儘管面临挑战，疫情凸显了自动化对于业务永续营运的重要性，随着企业接受数位转型，疫情将刺激 SDA 市场的长期成长。

预测期内软体市场预计将成为最大的市场

软体部分集中管理分散式系统和基础设施，并实现自动化工作流程的即时配置、监控和管理，预计在预测期内占据最大的份额。这是透过软体介面实现的，使用户能够即时配置、监控和管理自动化工作流程。例如，SDN 支援网路流量、路由和安全策略的集中管理，从而提高营运效率并简化管理。

预计预测期内网路自动化部分将以最高的复合年增长率成长。

预计网路自动化部分将在预测期内呈现最高的复合年增长率，因为它透过减少手动任务和操作复杂性来促进网路管理。这与 SDA 实现 IT、业务流程和基础设施管理自动化的目标一致。透过动态配置网路、管理流量并根据即时需求分配资源，企业可以释放资源用于其他自动化流程，从而创建一个加速部署 SDA 解决方案的敏捷环境。

比最大的地区

北美，尤其是美国和加拿大，一直是采用人工智慧、机器学习、云端运算和物联网等新兴技术的先驱，这些技术对于软体定义自动化 (SDA) 市场的成长至关重要。这使得SDA系统能够在广泛的行业中快速部署和扩展。该地区强大的技术融合文化，包括软体定义网路、云端基础的自动化和边缘运算，也促进了 SDA 技术的快速发展。

复合年增长率最高的地区：

由于政策奖励、补贴和资金推动数位转型和软体定义自动化 (SDA)，预计亚太地区将在预测期内实现最高的复合年增长率。中国和印度等国家正在投资研发，以推动自动化、人工智慧和 5G 领域的创新。这鼓励当地企业开发自动化解决方案，从而促进 SDA 市场的发展。私营部门对自动化技术的投资也在增加，包括来自创业投资和大型科技公司的资金，特别是在金融科技、医疗保健和物流业。

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    • 根据产品系列、地理分布和策略联盟对主要企业进行基准化分析

目录

第一章执行摘要

第 2 章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二手研究资料资讯来源
    • 先决条件

第三章 市场走势分析

  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第 4 章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

第 5 章。

  • 软体
    • SDN（Software-Defined Networking）
    • SDS（Software-Defined Storage）
    • SDC（Software-Defined Compute）
    • SDS（Software-Defined Security）
    • SDDC（Software-Defined Data Center）
  • 服务
    • 专业服务
    • 託管服务
  • 其他组件

第六章 全球软体定义自动化 (SDA) 市场（按应用）

  • 网路自动化
  • 资料中心自动化
  • 安全自动化
  • IT营运自动化
  • 其他用途

第 7 章全球软体定义自动化 (SDA) 市场（按最终用户划分）

  • 卫生保健
  • 中小型企业
  • 通讯
  • 製造业
  • 政府
  • 零售与电子商务
  • 能源与公共产业

第 8 章。

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第九章 主要进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十章 公司概况

  • Asiasoft Solutions
  • Beckhoff Automation GmbH & Co. KG
  • Bosch Rexroth Corporation
  • Cisco Systems, Inc.
  • Dell
  • Doosan Corporation
  • Emerson Electric Co.
  • Hewlett Packard Enterprise（HPE）
  • IBM Corporation
  • Intel Corporation
  • Juniper Networks
  • Mitsubishi Electric India Pvt.Ltd
  • NEC Corporation
  • Nutanix
  • Rockwell Automation, Inc.
  • Siemens AG
  • Wipro
  • Yokagawa India Ltd.
Product Code: SMRC28298

According to Stratistics MRC, the Global Software-defined Automation Market is accounted for $33.8 billion in 2024 and is expected to reach $89.9 billion by 2030 growing at a CAGR of 15.1% during the forecast period. Software-defined automation (SDA) is a flexible method of managing IT and operational processes using software platforms, applications, and intelligent algorithms. It allows for remote configuration and management of network infrastructure, reducing manual intervention and complexity. SDA often integrates technologies like AI, machine learning, and cloud computing to optimize performance and drive continuous improvements. This allows organizations to automate routine tasks, predict issues before they occur, and improve system reliability. In the context of networks, SDA can enable more efficient operations, scaling, and agility by abstracting underlying hardware.

Market Dynamics:

Driver:

Increased efficiency and flexibility to automate complex tasks and processes

Software-defined automation automates complex tasks, reducing reliance on manual intervention and improving consistency. It can adjust resources, optimize configurations, and manage traffic, leading to faster response times and higher throughput. It also allows for faster decision-making, leveraging data-driven insights for real-time responses to market demands. It also improves resource allocation by allowing dynamic allocation of resources based on current demands, leading to optimal utilization, reduced waste boosting them market growth.

Restraint:

High initial investment

Software-defined automation (SDA) implementation can be costly, especially for small and medium-sized enterprises (SMEs) with limited financial resources. It requires purchasing new software platforms, advanced tools, and upgrading hardware. Specialized training or hiring external consultants may also be required. Integrating SDA into legacy systems can be costly, as it requires extensive modifications or overhauls of existing architecture. This can increase the overall project cost hampering the market growth.

Opportunity:

Integration with emerging technologies

The integration of AI and ML with smart data analytics (SDA) enables intelligent automation, enabling systems to learn from data and adapt over time. AI-powered automation improves system performance by detecting anomalies, predicting maintenance, and adaptive resource allocation. Additionally, AI and ML enable self-optimization and self-healing, allowing systems to adjust operations based on real-time data and detect and resolve issues autonomously, reducing downtime and enhancing reliability propelling the growth of the market.

Threat:

Extended deployment time

Extended deployment time can delay the realization of benefits from Software Deployment Automation (SDA), such as operational efficiency, cost reduction, and scalability, reducing overall ROI. Businesses may continue using legacy systems or inefficient manual processes, missing out on potential gains. Additionally, prolonged deployment can lead to frustration and decreased motivation, affecting employee morale and internal teams. Internal resistance or disengagement from stakeholders may also hinder the process, further hindering the overall success of SDA implementation.

Covid-19 Impact

The COVID-19 pandemic accelerated the adoption of Software-Defined Automation (SDA) as businesses sought to enhance operational efficiency and reduce reliance on manual labor during lockdowns. Remote work, supply chain disruptions, and the need for agile IT infrastructure spurred demand for automated solutions. However, some companies faced delays in SDA implementation due to budget cuts, resource shortages, and workforce constraints. Despite challenges, the pandemic highlighted the importance of automation for business continuity, driving long-term growth in the SDA market as companies embrace digital transformation.

The software segment is expected to be the largest during the forecast period

The software segment is expected to be the largest share during the forecast period owing to centralized control across dispersed systems and infrastructure, enabling real-time configuration, monitoring, and management of automation workflows. This is achieved through software interfaces that enable users to configure, monitor, and manage automation workflows in real time. For instance, SDN enables centralized management of network traffic, routing, and security policies, enhancing operational efficiency and simplifying management.

The network automation segment is expected to have the highest CAGR during the forecast period

The network automation segment is predicted to have the highest CAGR during the forecast period due to network management by reducing manual tasks and operational complexity. This aligns with SDA's objectives of automating IT, business processes, and infrastructure management. By dynamically configuring network settings, managing traffic, and allocating resources based on real-time needs, businesses can free up resources for other automation processes, creating an agile environment that accelerates the deployment of SDA solutions.

Region with largest share:

North America is anticipated to hold the largest market share during the forecast period, North America, particularly the US and Canada, has been a pioneer in adopting emerging technologies like AI, ML, cloud computing, and IoT, which are crucial to the growth of the Software-Defined Automation (SDA) market. This has led to faster deployment and scaling of SDA systems across various industries. The region's strong culture of technological integration, including software-defined networking, cloud-based automation, and edge computing, has also contributed to the rapid evolution of SDA technologies.

Region with highest CAGR:

Asia Pacific is anticipated to register the highest CAGR over the forecast period owing to digital transformation and software-defined automation through policy incentives, subsidies, and funding. Countries like China and India are investing in R&D to foster innovation in automation, AI, and 5G. This encourages local companies to develop automation solutions, boosting the SDA market. Private sector investment in automation technologies, including venture capital and funding from large tech firms, is also increasing, particularly in fintech, healthcare, and logistics industries.

Key players in the market

Some of the key players in Software-defined Automation market include Asiasoft Solutions, Beckhoff Automation GmbH & Co. KG, Bosch Rexroth Corporation, Cisco Systems, Inc., Dell, Doosan Corporation, Emerson Electric Co., Hewlett Packard Enterprise (HPE), IBM Corporation, Intel Corporation, Juniper Networks, Mitsubishi Electric India Pvt.Ltd, NEC Corporation, Nutanix, Rockwell Automation, Inc., Siemens AG, Wipro and Yokagawa India Ltd.

Key Developments:

In December 2024, Emerson announced the release of the Rosemount(TM) 470XA Gas Chromatograph, designed to simplify natural gas analysis in custody transfer and other process applications. As natural gas sources have evolved to include sustainable and renewable sources, such as landfill gas and biogas, the need to provide greater gas chromatograph flexibility.

In November 2024, Cisco, announced an expanded partnership to transform how global enterprises access wireless connectivity. Historically, connectivity has focused on connecting office environments through landlines.

In November 2024, Cisco and LTIMindtree expanded partnership to deliver next-generation secure access globally. Extending its networking partnership with Cisco, LTIMindtree now offers next-generation SSE to its global clients via Cisco Secure Access.

Components Covered:

  • Software
  • Service
  • Other Components

Applications Covered:

  • Network Automation
  • Data Center Automation
  • Security Automation
  • IT Operations Automation
  • Other Applications

End Users Covered:

  • Healthcare
  • Small and Medium-Sized Enterprises
  • Telecommunications
  • Manufacturing
  • Government
  • Retail & E-Commerce
  • Energy & Utilities

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Software-defined Automation Market, By Component

  • 5.1 Introduction
  • 5.2 Software
    • 5.2.1 Software-Defined Networking
    • 5.2.2 Software-Defined Storage
    • 5.2.3 Software-Defined Compute
    • 5.2.4 Software-Defined Security
    • 5.2.5 Software-Defined Data Center
  • 5.3 Service
    • 5.3.1 Professional Services
    • 5.3.2 Managed Services
  • 5.4 Other Components

6 Global Software-defined Automation Market, By Application

  • 6.1 Introduction
  • 6.2 Network Automation
  • 6.3 Data Center Automation
  • 6.4 Security Automation
  • 6.5 IT Operations Automation
  • 6.6 Other Applications

7 Global Software-defined Automation Market, By End User

  • 7.1 Introduction
  • 7.2 Healthcare
  • 7.3 Small and Medium-Sized Enterprises
  • 7.4 Telecommunications
  • 7.5 Manufacturing
  • 7.6 Government
  • 7.7 Retail & E-Commerce
  • 7.8 Energy & Utilities

8 Global Software-defined Automation Market, By Geography

  • 8.1 Introduction
  • 8.2 North America
    • 8.2.1 US
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 UK
    • 8.3.3 Italy
    • 8.3.4 France
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 Japan
    • 8.4.2 China
    • 8.4.3 India
    • 8.4.4 Australia
    • 8.4.5 New Zealand
    • 8.4.6 South Korea
    • 8.4.7 Rest of Asia Pacific
  • 8.5 South America
    • 8.5.1 Argentina
    • 8.5.2 Brazil
    • 8.5.3 Chile
    • 8.5.4 Rest of South America
  • 8.6 Middle East & Africa
    • 8.6.1 Saudi Arabia
    • 8.6.2 UAE
    • 8.6.3 Qatar
    • 8.6.4 South Africa
    • 8.6.5 Rest of Middle East & Africa

9 Key Developments

  • 9.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 9.2 Acquisitions & Mergers
  • 9.3 New Product Launch
  • 9.4 Expansions
  • 9.5 Other Key Strategies

10 Company Profiling

  • 10.1 Asiasoft Solutions
  • 10.2 Beckhoff Automation GmbH & Co. KG
  • 10.3 Bosch Rexroth Corporation
  • 10.4 Cisco Systems, Inc.
  • 10.5 Dell
  • 10.6 Doosan Corporation
  • 10.7 Emerson Electric Co.
  • 10.8 Hewlett Packard Enterprise (HPE)
  • 10.9 IBM Corporation
  • 10.10 Intel Corporation
  • 10.11 Juniper Networks
  • 10.12 Mitsubishi Electric India Pvt.Ltd
  • 10.13 NEC Corporation
  • 10.14 Nutanix
  • 10.15 Rockwell Automation, Inc.
  • 10.16 Siemens AG
  • 10.17 Wipro
  • 10.18 Yokagawa India Ltd.

List of Tables

  • Table 1 Global Software-defined Automation Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Software-defined Automation Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Software-defined Automation Market Outlook, By Software (2022-2030) ($MN)
  • Table 4 Global Software-defined Automation Market Outlook, By Software-Defined Networking (2022-2030) ($MN)
  • Table 5 Global Software-defined Automation Market Outlook, By Software-Defined Storage (2022-2030) ($MN)
  • Table 6 Global Software-defined Automation Market Outlook, By Software-Defined Compute (2022-2030) ($MN)
  • Table 7 Global Software-defined Automation Market Outlook, By Software-Defined Security (2022-2030) ($MN)
  • Table 8 Global Software-defined Automation Market Outlook, By Software-Defined Data Center (2022-2030) ($MN)
  • Table 9 Global Software-defined Automation Market Outlook, By Service (2022-2030) ($MN)
  • Table 10 Global Software-defined Automation Market Outlook, By Professional Services (2022-2030) ($MN)
  • Table 11 Global Software-defined Automation Market Outlook, By Managed Services (2022-2030) ($MN)
  • Table 12 Global Software-defined Automation Market Outlook, By Other Components (2022-2030) ($MN)
  • Table 13 Global Software-defined Automation Market Outlook, By Application (2022-2030) ($MN)
  • Table 14 Global Software-defined Automation Market Outlook, By Network Automation (2022-2030) ($MN)
  • Table 15 Global Software-defined Automation Market Outlook, By Data Center Automation (2022-2030) ($MN)
  • Table 16 Global Software-defined Automation Market Outlook, By Security Automation (2022-2030) ($MN)
  • Table 17 Global Software-defined Automation Market Outlook, By IT Operations Automation (2022-2030) ($MN)
  • Table 18 Global Software-defined Automation Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 19 Global Software-defined Automation Market Outlook, By End User (2022-2030) ($MN)
  • Table 20 Global Software-defined Automation Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 21 Global Software-defined Automation Market Outlook, By Small and Medium-Sized Enterprises (2022-2030) ($MN)
  • Table 22 Global Software-defined Automation Market Outlook, By Telecommunications (2022-2030) ($MN)
  • Table 23 Global Software-defined Automation Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 24 Global Software-defined Automation Market Outlook, By Government (2022-2030) ($MN)
  • Table 25 Global Software-defined Automation Market Outlook, By Retail & E-Commerce (2022-2030) ($MN)
  • Table 26 Global Software-defined Automation Market Outlook, By Energy & Utilities (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.