2032 年工业自动化市场区块链应用预测：按组件、组织规模、技术、功能使用案例、部署模式、应用和地区进行全球分析

根据 Stratistics MRC 的数据，全球工业自动化区块链应用市场规模预计在 2025 年达到 72 亿美元，到 2032 年将达到 298 亿美元，预测期内的复合年增长率为 22.5%。

在工业自动化领域，区块链应用正​​透过去中心化、安全透明的资料处理彻底改变营运方式。透过启用不可变记录，区块链可确保准确的交易历史记录，同时在机器、供应商和合作伙伴之间建立信任。该技术显着提高了供应链的可视性，从而可以精确监控物料和产品流。在自动化系统中，区块链可确保资料真实性并支援可靠的机器间通讯。智能合约透过自动化交易、合约和服务协议（无需人工干预）进一步优化工作流程。此外，区块链还提供强大的网路安全，保护联网工厂免受骇客攻击和操纵。整体而言，区块链可提高效率、信任和课责，使工业自动化系统更加智慧、更具弹性。

欧盟委员会表示，工业 5.0 将推动以人性化、永续且富有弹性的工业体系转变。区块链虽然并非唯一的推动因素，但被认为是支持去中心化、透明化和安全资料交换的赋能技术之一，尤其是在供应链和自动化网路中。

提高供应链透明度

推动工业自动化采用区块链的关键驱动因素之一是对更高供应链透明度的需求。区块链创建了一个不可篡改的去中心化记录，可追踪物料从采购到交付的每个环节。这有助于各行各业打击假伪劣，满足合规标准，并确保采购合乎道德。区块链还能为自动化系统提供即时流程视觉性，最大限度地减少错误和延迟。该技术还能促进对供应商交易的可靠检验，从而增强整个网路的信任。透过为相关人员提供对检验数据的安全访问，区块链加强了课责。最终，它能够优化效率，降低风险，并支持整个工业供应链的永续资源利用。

实施成本高

高成本仍是区块链在工业自动化领域应用的主要障碍。建立区块链系统需要在技术基础设施、专用软体和技术人员方面进行大量投资。企业必须调整现有的自动化营运以支援去中心化的框架，这既昂贵又耗时。对于中小型企业而言，资金限制往往阻碍其采用区块链解决方案。此外，与能源、系统维护和升级相关的持续支出也加剧了挑战。区块链整合的整体复杂性使得许多公司难以证明其成本合理。因此，高昂的实施成本限制了区块链在自动化领域的广泛应用。

与物联网和人工智慧的集成

区块链在工业自动化领域的巨大潜力在于其与物联网和人工智慧的无缝整合。自动化操作会产生需要安全检验的大量资料集，而区块链则确保了这些资讯的透明度和不可篡改性。人工智慧利用区块链检验的数据进行精准预测、明智决策和预测性维护。同样，物联网生态系统也受益于区块链增强设备间信任和防止恶意干扰的能力。这种融合使各行各业能够设计出智慧、自适应、自我管理的系统，从而提高效率并最大限度地降低营运风险。随着物联网和人工智慧的普及，区块链正在为增强自动化和实现长期成长开闢一条充满希望​​的道路。

能源消耗问题

能源消耗仍然是区块链在工业自动化领域应用的主要威胁。许多区块链平台，尤其是那些采用工作量证明机制的平台，需要大量电力才能运行，这与现代工业的永续性目标背道而驰。高电力需求不仅增加了营运成本，而且随着政府实施更严格的排放法规，还会招致监管部门的审查。如果企业使用区块链被认为对环境有害，其声誉将面临受损的风险。除非权益证明等更环保的共识机制普及，否则能源问题可能会持续存在。这个环境问题对区块链在自动化製造系统中的发展构成了重大障碍。

COVID-19的影响：

新冠疫情对工业自动化领域的区块链应用市场产生了重大影响，加速了数位化和自动化解决方案的普及。全球供应链中断暴露了透明度和可追溯性的弱点，促使各行各业考虑采用区块链来改善监管和信任。自动化生产环境受益于区块链能够确保资料交换安全并减少对人工监管的依赖。儘管预算削减和投资延期限制了危机期间区块链的广泛应用，但疫情强化了区块链在增强韧性方面的作用。从长远来看，区块链有望在实现可靠、高效且面向未来的工业自动化方面发挥关键作用。

预计软体领域将成为预测期内最大的领域

预计软体领域将在预测期内占据最大的市场份额。这些平台能够安全地检验、储存和交换工业数据，确保准确性和可靠性。该软体还支援智慧合约、无缝机器整合和透明工作流程管理等高级功能。其灵活性使各行各业能够客製化区块链解决方案，以满足各种需求，包括资产追踪、决策自动化和系统优化。此外，该软体的扩充性和跨网路互通能力为全球营运增添了价值。透过实现效率、透明度和可靠性，软体产业是区块链在自动化领域应用的基石。

预计区块链+物联网（IIoT）领域在预测期内将以最高的复合年增长率成长。

受连网设备激增和即时洞察需求的推动，区块链+物联网 (IIoT) 领域预计将在预测期内实现最高成长率。区块链与 IIoT 的结合实现了机器、感测器和工业系统之间安全且不可变的通讯。这种整合有助于提高效率、实现准确的预测性维护和透明的供应链监控，同时减少对人工干预的依赖。随着向智慧工厂数位化营运的转变日益频繁，基于区块链的 IIoT 解决方案正在迅速扩张。该领域的高复合年增长率凸显了互联工业网路在安全可靠的数据管理的支持下，正在如何改变全球的自动化方式。

比最大的地区

在预测期内，北美预计将占据最大的市场份额，这得益于其完善的技术基础设施、积极采用工业4.0以及在智慧製造方面的大量投资。该地区的製造业正在迅速采用与人工智慧、物联网和数数位双胞胎技术相结合的区块链，以提高营运效率、供应链透明度和预测分析能力。政府支持、强大的技术提供者网路以及研究主导的倡议正在加速区块链解决方案的采用。对安全资料处理、流程优化和弹性营运的关注将进一步推动其采用。北美作为领跑者的地位，证实了其透过先进的区块链整合在塑造产业格局方面所发挥的作用。

复合年增长率最高的地区：

在预测期内，由于工业快速扩张、工业 4.0 应用的不断普及以及智慧製造投资的不断增加，亚太地区预计将呈现最高的复合年增长率。中国、日本和韩国等主要国家正在利用区块链与人工智慧、物联网和数数位双胞胎技术相结合，以优化生产流程、提高供应链透明度并支援预测性维护。积极的政府倡议以及对自动化、技术主导解决方案日益增长的需求，正在推动区块链的广泛整合。该地区对创新和数位化现代化的关注将进一步推动其应用。如此高的复合年增长率证实了亚太地区已成为基于区块链的工业自动化解决方案的领先市场。

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• 公司简介
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  • 主要企业的SWOT分析（最多3家公司）
• 区域细分
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• 竞争基准化分析
  • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

• 概述
• 相关利益者
• 调查范围
• 调查方法
  • 资料探勘
  • 数据分析
  • 数据检验
  • 研究途径
• 研究材料
  • 主要研究资料
  • 次级研究资讯来源
  • 先决条件

第三章市场走势分析

• 驱动程式
• 抑制因素
• 机会
• 威胁
• 技术分析
• 应用分析
• 新兴市场
• COVID-19的影响

第四章 波特五力分析

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

5. 工业自动化领域区块链应用市场（按组件）

• 硬体
• 软体
• 服务

6. 工业自动化领域区块链应用市场（依组织规模）

• 大公司
• 小型企业

7. 工业自动化市场中的区块链应用（按技术）

• 区块链+人工智慧
• 区块链+物联网（IIoT）
• 区块链+数位双胞胎

8. 工业自动化中的区块链应用市场 - 功能使用案例

• 供应链可追溯性
• 资产生命週期管理
• 预测性维护
• 品质保证与合规
• 资料安全和存取控制

9. 工业自动化市场中的区块链应用（依部署模式）

• 本地部署
• 云端基础

10. 工业自动化中的区块链应用市场（按应用）

• 离散製造
• 流程製造
• 能源与公共产业
• 航太和国防
• 物流/仓储
• 工业机器人与自动化系统

11. 工业自动化市场中的区块链应用（按地区）

• 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

第十二章 重大进展

• 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

第十三章：企业概况

• IBM
• Oracle
• SAP
• Festo
• Cognizant
• Moog Aircraft Group
• Renault
• VeChain
• Chronicled Inc.
• Hyperledger
• Microsoft
• Nadcab Labs
• Oodles Technologies
• Fetch.ai
• Siemens

According to Stratistics MRC, the Global Blockchain Applications in Industrial Automation Market is accounted for $7.20 billion in 2025 and is expected to reach $29.80 billion by 2032 growing at a CAGR of 22.5% during the forecast period. In industrial automation, blockchain applications are revolutionizing operations through decentralized, secure, and transparent data handling. By enabling immutable records, blockchain builds trust among machines, suppliers, and partners while ensuring accurate transaction histories. This technology greatly enhances supply chain visibility, allowing precise monitoring of materials and product flows. Within automated systems, blockchain guarantees data authenticity, supporting reliable machine-to-machine communication. Smart contracts further optimize workflows by automating transactions, contracts, and service agreements without manual intervention. Moreover, blockchain provides robust cybersecurity, shielding connected factories from hacking and manipulation. Collectively, it drives efficiency, reliability, and accountability, making industrial automation systems smarter and more resilient.

According to the European Commission, Industry 5.0 promotes a shift toward human-centric, sustainable, and resilient industrial systems. While blockchain is not named as the sole enabler, it is recognized among the enabling technologies that support decentralization, transparency, and secure data exchange-especially in supply chains and automation networks.

Market Dynamics:

Driver:

Enhanced supply chain transparency

One of the main drivers of blockchain adoption in industrial automation is the need for improved supply chain transparency. Blockchain creates immutable, decentralized records that track every stage of material flow, from procurement to delivery. This helps industries combat counterfeiting, meet compliance standards, and ensure ethical sourcing. Automated systems benefit as blockchain provides real-time visibility into processes, minimizing errors and delays. The technology also facilitates reliable verification of supplier transactions, enhancing trust across networks. By granting stakeholders secure access to validated data, blockchain strengthens accountability. Ultimately, it optimizes efficiency, lowers risks, and supports sustainable resource utilization throughout industrial supply chains.

Restraint:

High implementation costs

High costs remain a significant barrier to blockchain applications in industrial automation. Establishing blockchain systems demands heavy investment in technology infrastructure, specialized software, and skilled personnel. Companies must adjust existing automated operations to support decentralized frameworks, which can be costly and time-consuming. For small and mid-sized enterprises, financial constraints often prevent them from adopting blockchain solutions. Moreover, ongoing expenditures related to energy, system maintenance, and upgrades add to the challenge. The overall complexity of blockchain integration makes it difficult for many firms to justify the expense. As a result, steep implementation costs restrict the widespread use of blockchain in automation.

Opportunity:

Integration with IoT and AI

A major opportunity for blockchain in industrial automation lies in its seamless integration with IoT and AI. Automated operations generate massive datasets that require secure validation, and blockchain ensures transparency and immutability of this information. Artificial intelligence leverages blockchain-verified data for accurate forecasting, smart decision-making, and predictive maintenance. Likewise, IoT ecosystems benefit from blockchain's ability to enhance device-to-device trust, preventing malicious interference. This fusion allows industries to design intelligent, adaptive, and self-managed systems that improve efficiency and minimize operational risks. With the increasing adoption of IoT and AI, blockchain creates a promising pathway to strengthen automation and unlock long-term growth.

Threat:

Energy consumption concerns

Energy consumption remains a significant threat to blockchain adoption in industrial automation. Many blockchain platforms, especially those using proof-of-work mechanisms, require massive amounts of electricity to function. This contradicts the sustainability targets that modern industries are striving to achieve. The high power demand not only increases operating expenses but also attracts regulatory scrutiny as governments enforce stricter emission controls. Companies risk damaging their reputation if blockchain usage is seen as environmentally harmful. Unless more eco-friendly consensus mechanisms, such as proof-of-stake, gain traction, energy concerns will persist. This environmental challenge represents a critical barrier to blockchain's growth in automated manufacturing systems.

Covid-19 Impact:

The Covid-19 outbreak had a profound impact on the blockchain applications in industrial automation market, driving faster adoption of digital and automated solutions. Global supply chain disruptions exposed weaknesses in transparency and traceability, pushing industries to consider blockchain for improved monitoring and trust. Automated production environments benefited from blockchain's ability to secure data exchanges and reduce reliance on manual oversight. Although budget cuts and postponed investments limited widespread deployment during the crisis, the pandemic reinforced blockchain's role in strengthening resilience. In the long term, blockchain is expected to play a crucial role in enabling reliable, efficient, and future-ready industrial automation.

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

The software segment is expected to account for the largest market share during the forecast period. These platforms enable the secure validation, storage, and exchange of industrial data, ensuring accuracy and trust. Software also supports advanced functions like smart contracts, seamless machine integration, and transparent workflow management. Its flexibility allows industries to tailor blockchain solutions for various needs, including asset tracking, automated decision-making, and system optimization. Moreover, software's ability to scale and interoperate across networks strengthens its value in global operations. By enabling efficiency, transparency, and reliability, the software segment represents the cornerstone of blockchain adoption in automation.

The blockchain + IoT (IIoT) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the blockchain + IoT (IIoT) segment is predicted to witness the highest growth rate, fueled by the proliferation of interconnected devices and the demand for real-time insights. Combining blockchain with IIoT provides secure and immutable communication between machines, sensors, and industrial systems. This integration supports enhanced efficiency, accurate predictive maintenance, and transparent supply chain monitoring, while reducing reliance on human intervention. With the ongoing shift toward smart factories and digitalized operations, blockchain-powered IIoT solutions are expanding rapidly. The segment's strong CAGR highlights how connected industrial networks, backed by secure and reliable data management, are transforming automation practices worldwide.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, owing to its well-established technological infrastructure, proactive adoption of Industry 4.0, and substantial investment in smart manufacturing. Manufacturing sectors in this region are rapidly deploying blockchain integrated with AI, IoT, and digital twin technologies to improve operational efficiency, supply chain transparency, and predictive analytics. Government support, a strong network of tech providers, and research-driven initiatives accelerate implementation of blockchain solutions. The focus on secure data handling, process optimization, and resilient operations further drives adoption. North America's position as a front-runner underscores its role in shaping the industrial automation landscape through advanced blockchain integration.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by rapid industrial expansion, rising Industry 4.0 adoption, and increasing investments in intelligent manufacturing. Key countries such as China, Japan, and South Korea are leveraging blockchain combined with AI, IoT, and digital twin technologies to optimize production processes, enhance supply chain transparency, and support predictive maintenance. Favorable government initiatives and a rising demand for automated, technology-driven solutions promote extensive blockchain integration. The region's emphasis on innovation and digital modernization further propels adoption. This high CAGR underscores Asia-Pacific's emergence as a leading market for blockchain-based industrial automation solutions.

Key players in the market

Some of the key players in Blockchain Applications in Industrial Automation Market include IBM, Oracle, SAP, Festo, Cognizant, Moog Aircraft Group, Renault, VeChain, Chronicled Inc., Hyperledger, Microsoft, Nadcab Labs, Oodles Technologies, Fetch.ai and Siemens.

Key Developments:

In February 2025, Renault and China's Zhejiang Geely Holding Group plan to jointly produce and sell electric and low-emissions vehicles in Brazil as the automakers deepen their partnership. Geely will invest in Renault's Brazilian unit and in return get access to its production, sales and services network in the country.

In January 2025, Cognizant has announced an expansion of its longstanding relationship with Gilead Sciences. The expanded agreement aims to deliver greater cost leadership and productivity enhancement for Gilead while seeking to extract greater value from the existing relationship. Leveraging machine learning and generative AI within an agentic framework, the work addresses multiple use cases across customer service, employee interactions, and business value management.

In January 2025, IBM and Telefonica Tech announced a collaboration agreement to develop and deliver security solutions that address security challenges posed by future cryptographically relevant quantum computers. The advent of quantum computing will allow for more advanced calculations, but it also brings with it a critical challenge: ensuring data security in a future where traditional encryption algorithms could become vulnerable.

Components Covered:

• Hardware
• Software
• Services

Organization Sizes Covered:

• Large Enterprises
• Small & Medium Enterprises (SMEs)

Technologies Covered:

• Blockchain + AI
• Blockchain + IoT (IIoT)
• Blockchain + Digital Twin

Functional Use Cases Covered:

• Supply Chain Traceability
• Asset Lifecycle Management
• Predictive Maintenance
• Quality Assurance & Compliance
• Data Security & Access Control

Deployment Modes Covered:

• On-Premise
• Cloud-Based

Applications Covered:

• Discrete Manufacturing
• Process Manufacturing
• Energy & Utilities
• Aerospace & Defense
• Logistics & Warehousing
• Industrial Robotics & Automation Systems

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 2024, 2025, 2026, 2028, and 2032
• 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 Technology Analysis
• 3.7 Application 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 Blockchain Applications in Industrial Automation Market, By Component

• 5.1 Introduction
• 5.2 Hardware
• 5.3 Software
• 5.4 Services

6 Global Blockchain Applications in Industrial Automation Market, By Organization Size

• 6.1 Introduction
• 6.2 Large Enterprises
• 6.3 Small & Medium Enterprises (SMEs)

7 Global Blockchain Applications in Industrial Automation Market, By Technology

• 7.1 Introduction
• 7.2 Blockchain + AI
• 7.3 Blockchain + IoT (IIoT)
• 7.4 Blockchain + Digital Twin

8 Global Blockchain Applications in Industrial Automation Market, By Functional Use Case

• 8.1 Introduction
• 8.2 Supply Chain Traceability
• 8.3 Asset Lifecycle Management
• 8.4 Predictive Maintenance
• 8.5 Quality Assurance & Compliance
• 8.6 Data Security & Access Control

9 Global Blockchain Applications in Industrial Automation Market, By Deployment Mode

• 9.1 Introduction
• 9.2 On-Premise
• 9.3 Cloud-Based

10 Global Blockchain Applications in Industrial Automation Market, By Application

• 10.1 Introduction
• 10.2 Discrete Manufacturing
• 10.3 Process Manufacturing
• 10.4 Energy & Utilities
• 10.5 Aerospace & Defense
• 10.6 Logistics & Warehousing
• 10.7 Industrial Robotics & Automation Systems

11 Global Blockchain Applications in Industrial Automation Market, By Geography

• 11.1 Introduction
• 11.2 North America
  • 11.2.1 US
  • 11.2.2 Canada
  • 11.2.3 Mexico
• 11.3 Europe
  • 11.3.1 Germany
  • 11.3.2 UK
  • 11.3.3 Italy
  • 11.3.4 France
  • 11.3.5 Spain
  • 11.3.6 Rest of Europe
• 11.4 Asia Pacific
  • 11.4.1 Japan
  • 11.4.2 China
  • 11.4.3 India
  • 11.4.4 Australia
  • 11.4.5 New Zealand
  • 11.4.6 South Korea
  • 11.4.7 Rest of Asia Pacific
• 11.5 South America
  • 11.5.1 Argentina
  • 11.5.2 Brazil
  • 11.5.3 Chile
  • 11.5.4 Rest of South America
• 11.6 Middle East & Africa
  • 11.6.1 Saudi Arabia
  • 11.6.2 UAE
  • 11.6.3 Qatar
  • 11.6.4 South Africa
  • 11.6.5 Rest of Middle East & Africa

12 Key Developments

• 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 12.2 Acquisitions & Mergers
• 12.3 New Product Launch
• 12.4 Expansions
• 12.5 Other Key Strategies

13 Company Profiling

• 13.1 IBM
• 13.2 Oracle
• 13.3 SAP
• 13.4 Festo
• 13.5 Cognizant
• 13.6 Moog Aircraft Group
• 13.7 Renault
• 13.8 VeChain
• 13.9 Chronicled Inc.
• 13.10 Hyperledger
• 13.11 Microsoft
• 13.12 Nadcab Labs
• 13.13 Oodles Technologies
• 13.14 Fetch.ai
• 13.15 Siemens

List of Tables

• Table 1 Global Blockchain Applications in Industrial Automation Market Outlook, By Region (2024-2032) ($MN)
• Table 2 Global Blockchain Applications in Industrial Automation Market Outlook, By Component (2024-2032) ($MN)
• Table 3 Global Blockchain Applications in Industrial Automation Market Outlook, By Hardware (2024-2032) ($MN)
• Table 4 Global Blockchain Applications in Industrial Automation Market Outlook, By Software (2024-2032) ($MN)
• Table 5 Global Blockchain Applications in Industrial Automation Market Outlook, By Services (2024-2032) ($MN)
• Table 6 Global Blockchain Applications in Industrial Automation Market Outlook, By Organization Size (2024-2032) ($MN)
• Table 7 Global Blockchain Applications in Industrial Automation Market Outlook, By Large Enterprises (2024-2032) ($MN)
• Table 8 Global Blockchain Applications in Industrial Automation Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
• Table 9 Global Blockchain Applications in Industrial Automation Market Outlook, By Technology (2024-2032) ($MN)
• Table 10 Global Blockchain Applications in Industrial Automation Market Outlook, By Blockchain + AI (2024-2032) ($MN)
• Table 11 Global Blockchain Applications in Industrial Automation Market Outlook, By Blockchain + IoT (IIoT) (2024-2032) ($MN)
• Table 12 Global Blockchain Applications in Industrial Automation Market Outlook, By Blockchain + Digital Twin (2024-2032) ($MN)
• Table 13 Global Blockchain Applications in Industrial Automation Market Outlook, By Functional Use Case (2024-2032) ($MN)
• Table 14 Global Blockchain Applications in Industrial Automation Market Outlook, By Supply Chain Traceability (2024-2032) ($MN)
• Table 15 Global Blockchain Applications in Industrial Automation Market Outlook, By Asset Lifecycle Management (2024-2032) ($MN)
• Table 16 Global Blockchain Applications in Industrial Automation Market Outlook, By Predictive Maintenance (2024-2032) ($MN)
• Table 17 Global Blockchain Applications in Industrial Automation Market Outlook, By Quality Assurance & Compliance (2024-2032) ($MN)
• Table 18 Global Blockchain Applications in Industrial Automation Market Outlook, By Data Security & Access Control (2024-2032) ($MN)
• Table 19 Global Blockchain Applications in Industrial Automation Market Outlook, By Deployment Mode (2024-2032) ($MN)
• Table 20 Global Blockchain Applications in Industrial Automation Market Outlook, By On-Premise (2024-2032) ($MN)
• Table 21 Global Blockchain Applications in Industrial Automation Market Outlook, By Cloud-Based (2024-2032) ($MN)
• Table 22 Global Blockchain Applications in Industrial Automation Market Outlook, By Application (2024-2032) ($MN)
• Table 23 Global Blockchain Applications in Industrial Automation Market Outlook, By Discrete Manufacturing (2024-2032) ($MN)
• Table 24 Global Blockchain Applications in Industrial Automation Market Outlook, By Process Manufacturing (2024-2032) ($MN)
• Table 25 Global Blockchain Applications in Industrial Automation Market Outlook, By Energy & Utilities (2024-2032) ($MN)
• Table 26 Global Blockchain Applications in Industrial Automation Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
• Table 27 Global Blockchain Applications in Industrial Automation Market Outlook, By Logistics & Warehousing (2024-2032) ($MN)
• Table 28 Global Blockchain Applications in Industrial Automation Market Outlook, By Industrial Robotics & Automation Systems (2024-2032) ($MN)

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