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1822331

2032 年工業自動化市場區塊鏈應用預測：按組件、組織規模、技術、功能使用案例、部署模式、應用和地區進行全球分析

Blockchain Applications in Industrial Automation Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software and Services), Organization Size, Technology, Functional Use Case, Deployment Mode, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球工業自動化區塊鏈應用市場規模預計在 2025 年達到 72 億美元，到 2032 年將達到 298 億美元，預測期內的複合年成長率為 22.5%。

在工業自動化領域，區塊鏈應用正​​透過去中心化、安全透明的資料處理徹底改變營運方式。透過啟用不可變記錄，區塊鏈可確保準確的交易歷史記錄，同時在機器、供應商和合作夥伴之間建立信任。該技術顯著提高了供應鏈的可視性，從而可以精確監控物料和產品流。在自動化系統中，區塊鏈可確保資料真實性並支援可靠的機器間通訊。智慧合約透過自動化交易、合約和服務協議（無需人工干預）進一步最佳化工作流程。此外，區塊鏈還提供強大的網路安全，保護聯網工廠免受駭客攻擊和操縱。整體而言，區塊鏈可提高效率、信任和課責，使工業自動化系統更加智慧、更具彈性。

歐盟委員會表示，工業 5.0 將推動以人性化、永續且富有彈性的工業體系轉變。區塊鏈雖然並非唯一的推動因素，但被認為是支持去中心化、透明化和安全資料交換的賦能技術之一，尤其是在供應鏈和自動化網路中。

提高供應鏈透明度

推動工業自動化採用區塊鏈的關鍵促進因素之一是對更高供應鏈透明度的需求。區塊鏈創建了一個不可篡改的去中心化記錄，可追蹤物料從採購到交付的每個環節。這有助於各行各業打擊假偽劣，滿足合規標準，並確保採購合乎道德。區塊鏈還能為自動化系統提供即時流程視覺性，最大限度地減少錯誤和延遲。該技術還能促進對供應商交易的可靠檢驗，從而增強整個網路的信任。透過為相關人員提供對檢驗數據的安全訪問，區塊鏈加強了課責。最終，它能夠最佳化效率，降低風險，並支持整個工業供應鏈的永續資源利用。

實施成本高

高成本仍是區塊鏈在工業自動化領域應用的主要障礙。建立區塊鏈系統需要在技術基礎設施、專用軟體和技術人員方面進行大量投資。企業必須調整現有的自動化營運以支援去中心化的框架，這既昂貴又耗時。對於中小型企業而言，資金限制往往阻礙其採用區塊鏈解決方案。此外，與能源、系統維護和升級相關的持續支出也加劇了挑戰。區塊鏈整合的整體複雜性使得許多公司難以證明其成本合理。因此，高昂的實施成本限制了區塊鏈在自動化領域的廣泛應用。

與物聯網和人工智慧的整合

區塊鏈在工業自動化領域的巨大潛力在於其與物聯網和人工智慧的無縫整合。自動化操作會產生需要安全檢驗的大量資料集，而區塊鏈則確保了這些資訊的透明度和不可篡改性。人工智慧利用區塊鏈檢驗的數據進行精準預測、明智決策和預測性維護。同樣，物聯網生態系統也受益於區塊鏈增強設備間信任和防止惡意干擾的能力。這種融合使各行各業能夠設計出智慧、自適應、自我管理的系統，從而提高效率並最大限度地降低營運風險。隨著物聯網和人工智慧的普及，區塊鏈正在為增強自動化和實現長期成長開闢一條充滿希望​​的道路。

能源消耗問題

能源消耗仍然是區塊鏈在工業自動化領域應用的主要威脅。許多區塊鏈平台，尤其是那些採用工作量證明機制的平台，需要大量電力才能運行，這與現代工業的永續性目標背道而馳。高電力需求不僅增加了營運成本，而且隨著政府實施更嚴格的排放法規，還會招致監管部門的審查。如果企業使用區塊鏈被認為對環境有害，其聲譽將面臨受損的風險。除非權益證明等更環保的共識機制普及，否則能源問題可能會持續存在。這個環境問題對區塊鏈在自動化製造系統中的發展構成了重大障礙。

COVID-19的影響：

新冠疫情對工業自動化領域的區塊鏈應用市場產生了重大影響，加速了數位化和自動化解決方案的普及。全球供應鏈中斷暴露了透明度和可追溯性的弱點，促使各行各業考慮採用區塊鏈來改善監管和信任。自動化生產環境受益於區塊鏈能夠確保資料交換安全並減少對人工監管的依賴。儘管預算削減和投資延期限制了危機期間區塊鏈的廣泛應用，但疫情強化了區塊鏈在增強韌性方面的作用。從長遠來看，區塊鏈有望在實現可靠、高效且面向未來的工業自動化方面發揮關鍵作用。

預計軟體領域將成為預測期內最大的領域

預計軟體領域將在預測期內佔據最大的市場佔有率。這些平台能夠安全地檢驗、儲存和交換工業數據，確保準確性和可靠性。該軟體還支援智慧合約、無縫機器整合和透明工作流程管理等高級功能。其靈活性使各行各業能夠客製化區塊鏈解決方案，以滿足各種需求，包括資產追蹤、決策自動化和系統最佳化。此外，該軟體的擴充性和跨網路互通能力為全球營運增添了價值。透過實現效率、透明度和可靠性，軟體產業是區塊鏈在自動化領域應用的基石。

預計區塊鏈+物聯網（IIoT）領域在預測期內將以最高的複合年成長率成長。

受連網設備激增和即時洞察需求的推動，區塊鏈+物聯網 (IIoT) 領域預計將在預測期內實現最高成長率。區塊鏈與 IIoT 的結合實現了機器、感測器和工業系統之間安全且不可變的通訊。這種整合有助於提高效率、實現準確的預測性維護和透明的供應鏈監控，同時減少對人工干預的依賴。隨著向智慧工廠數位化營運的轉變日益頻繁，基於區塊鏈的 IIoT 解決方案正在迅速擴張。該領域的高複合年成長率凸顯了互聯工業網路在安全可靠的數據管理的支持下，正在如何改變全球的自動化方式。

比最大的地區

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其完善的技術基礎設施、積極採用工業4.0以及在智慧製造方面的大量投資。該地區的製造業正在迅速採用與人工智慧、物聯網和數位雙胞胎技術相結合的區塊鏈，以提高營運效率、供應鏈透明度和預測分析能力。政府支持、強大的技術提供者網路以及研究主導的舉措正在加速區塊鏈解決方案的採用。對安全資料處理、流程最佳化和彈性營運的關注將進一步推動其採用。北美作為領跑者的地位，證實了其透過先進的區塊鏈整合在塑造產業格局方面所發揮的作用。

複合年成長率最高的地區：

在預測期內，由於工業快速擴張、工業 4.0 應用的不斷普及以及智慧製造投資的不斷增加，亞太地區預計將呈現最高的複合年成長率。中國、日本和韓國等主要國家正在利用區塊鏈與人工智慧、物聯網和數位雙胞胎技術相結合，以最佳化生產流程、提高供應鏈透明度並支援預測性維護。積極的政府舉措以及對自動化、技術主導解決方案日益成長的需求，正在推動區塊鏈的廣泛整合。該地區對創新和數位化現代化的關注將進一步推動其應用。如此高的複合年成長率證實了亞太地區已成為基於區塊鏈的工業自動化解決方案的領先市場。

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    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 工業自動化領域區塊鏈應用市場（按組件）

  • 硬體
  • 軟體
  • 服務

6. 工業自動化領域區塊鏈應用市場（依組織規模）

  • 主要企業
  • 小型企業

7. 工業自動化市場中的區塊鏈應用（按技術）

  • 區塊鏈+人工智慧
  • 區塊鏈+物聯網（IIoT）
  • 區塊鏈+數位雙胞胎

8. 工業自動化中的區塊鏈應用市場 - 功能使用案例

  • 供應鏈可追溯性
  • 資產生命週期管理
  • 預測性維護
  • 品質保證與合規
  • 資料安全和存取控制

9. 工業自動化市場中的區塊鏈應用（依部署模式）

  • 本地部署
  • 雲端基礎

10. 工業自動化中的區塊鏈應用市場（按應用）

  • 離散製造
  • 流程製造
  • 能源與公共產業
  • 航太和國防
  • 物流/倉儲
  • 工業機器人與自動化系統

11. 工業自動化市場中的區塊鏈應用（按地區）

  • 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12章 重大進展

  • 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13章：企業概況

  • IBM
  • Oracle
  • SAP
  • Festo
  • Cognizant
  • Moog Aircraft Group
  • Renault
  • VeChain
  • Chronicled Inc.
  • Hyperledger
  • Microsoft
  • Nadcab Labs
  • Oodles Technologies
  • Fetch.ai
  • Siemens
Product Code: SMRC31085

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.