首頁 > 市場調查報告書 > 通訊

市場調查報告書

商品編碼

1636657

軟體定義自動化 (SDA) 市場預測至 2030 年：按組件、應用、最終用戶和地區進行的全球分析

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: 2025年01月01日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，全球軟體定義自動化 (SDA) 市場預計在 2024 年價值 338 億美元，到 2030 年將達到 899 億美元，預測期內的複合年成長率為 15.1%。

軟體定義自動化 (SDA) 是一種使用軟體平台、應用程式和智慧演算法管理 IT 和營運流程的靈活方法。它支援網路基礎設施的遠端配置和管理，減少人工干預和複雜性。 SDA 通常整合人工智慧、機器學習和雲端運算等技術來最佳化效能並推動持續改進。這使組織能夠自動執行日常任務，預測問題發生並提高系統可靠性。在網路環境中，SDA 抽象化了底層硬體，實現了更有效率的操作、擴展和靈活性。

提高複雜任務和流程自動化的效率和靈活性

軟體定義自動化 (SDA) 可自動執行複雜任務，減少對人工干預的依賴並提高一致性。它允許您調整資源，最佳化配置和管理流量，從而縮短回應時間並提高吞吐量。它還可以加速決策並利用資料驅動的洞察力來即時回應市場需求。它還可以根據當前需求動態分配資源，從而實現更好的資源配置、最佳利用和減少浪費，從而促進市場成長。

初期投資高

實施軟體定義自動化（SDA）的成本可能很高，尤其是對於資金有限的中小型企業。必須購買新的軟體平台、先進的工具並升級硬體。它可能還需要專門的培訓或聘請外部顧問。將 SDA 整合到舊有系統中可能會很昂貴，因為它需要對現有架構進行重大修訂或徹底改革。這可能會增加整體計劃成本並阻礙市場成長。

與新科技的融合

將 AI 和 ML 與智慧資料分析 (SDA) 結合可實現智慧自動化，使系統能夠從資料中學習並隨著時間的推移進行適應。人工智慧自動化透過檢測異常、預測維護和自適應分配資源來提高系統效能。此外，人工智慧和機器學習能夠實現自我最佳化和自我修復，使系統能夠根據即時資料調整操作並自主檢測和解決問題。

延長部署時間

較長的實施時間會延遲軟體定義自動化 (SDA) 的優勢（營運效率、成本節約、可擴展性等）的實現，並降低整體投資報酬率。公司可能會繼續使用舊有系統和低效率的手動流程並錯失潛在的利益。此外，長期實施可能會導致沮喪和動力不足，影響員工士氣和內部團隊。內部阻力和相關人員的脫離也可能阻礙這一進程，進一步阻礙SDA實施的整體成功。

COVID-19 的影響

由於企業尋求在封鎖期間提高業務效率並減少對手動任務的依賴，COVID-19 疫情加速了軟體定義自動化 (SDA) 的採用。遠端工作、供應鏈中斷以及對敏捷IT基礎設施的需求刺激了對自動化解決方案的需求。然而，由於預算削減、資源缺乏和勞動力限制，一些公司在採用 SDA 方面面臨延遲。儘管面臨挑戰，疫情凸顯了自動化對於業務永續營運的重要性，隨著企業接受數位轉型，疫情將刺激 SDA 市場的長期成長。

預測期內軟體市場預計將成為最大的市場

軟體部分集中管理分散式系統和基礎設施，並實現自動化工作流程的即時配置、監控和管理，預計在預測期內佔據最大的佔有率。這是透過軟體介面實現的，使用戶能夠即時配置、監控和管理自動化工作流程。例如，SDN 支援網路流量、路由和安全策略的集中管理，從而提高營運效率並簡化管理。

預計預測期內網路自動化部分將以最高的複合年成長率成長。

預計網路自動化部分將在預測期內呈現最高的複合年成長率，因為它透過減少手動任務和操作複雜性來促進網路管理。這與 SDA 實現 IT、業務流程和基礎設施管理自動化的目標一致。透過動態配置網路、管理流量並根據即時需求分配資源，企業可以釋放資源用於其他自動化流程，從而創建一個加速部署 SDA 解決方案的敏捷環境。

比最大的地區

北美，尤其是美國和加拿大，一直是採用人工智慧、機器學習、雲端運算和物聯網等新興技術的先驅，這些技術對於軟體定義自動化 (SDA) 市場的成長至關重要。這使得SDA系統能夠在廣泛的行業中快速部署和擴展。該地區強大的技術融合文化，包括軟體定義網路、雲端基礎的自動化和邊緣運算，也促進了 SDA 技術的快速發展。

複合年成長率最高的地區：

由於政策獎勵、補貼和資金推動數位轉型和軟體定義自動化 (SDA)，預計亞太地區將在預測期內實現最高的複合年成長率。中國和印度等國家正在投資研發，以推動自動化、人工智慧和 5G 領域的創新。這鼓勵當地企業開發自動化解決方案，從而促進 SDA 市場的發展。私營部門對自動化技術的投資也在增加，包括來自創業投資和大型科技公司的資金，特別是在金融科技、醫療保健和物流業。

免費客製化服務

訂閱此報告的客戶可享有以下免費自訂選項之一：

公司簡介
- 對其他市場公司（最多 3 家公司）進行全面分析
- 主要企業的 SWOT 分析（最多 3 家公司）
地理細分
- 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
競爭性基準化分析
- 根據產品系列、地理分佈和策略聯盟對主要企業進行基準化分析

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 德國
- 英國
- 義大利
- 法國
- 西班牙
- 其他歐洲國家
亞太地區
- 日本
- 中國
- 印度
- 澳洲
- 紐西蘭
- 韓國
- 其他亞太地區
南美洲
- 阿根廷
- 巴西
- 智利
- 南美洲其他地區
中東和非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 卡達
- 南非
- 其他中東和非洲地區

第9章主要進展

協議、夥伴關係、合作和合資企業
收購與合併
新產品發布
業務擴展
其他關鍵策略

第10章公司概況

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.

簡介目錄圖表

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

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.

簡介目錄圖表

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)