スマートマニュファクチャリングの世界市場 - 産業規模、シェア、動向、機会、予測：コンポーネント別、技術別、最終用途産業別、地域別、競合、2019-2029年

スマートマニュファクチャリングの世界市場規模は2023年に2,576億7,000万米ドルで、2029年までの予測期間中にCAGRで14.82%の成長が予測されています。

世界のスマートマニュファクチャリング市場は、過去10年間、各業界で採用が進み、大きな成長を遂げてきました。自動車、エレクトロニクス、重機械、食品・飲料などの分野では、スマートマニュファクチャリング技術が生産プロセスの最適化と業務効率の向上に不可欠なイネーブラーとして認識されるようになりました。

二酸化炭素排出、廃棄物発生、エネルギー消費に関する厳しい環境規制により、大企業は先進的なインダストリー4.0ソリューションへの投資を余儀なくされています。大手テクノロジープロバイダーは、予知保全、品質検査、リアルタイムプロセスモニタリング、最適化などの機能を誇る革新的なスマートマニュファクチャリングプラットフォームを発表しました。これらのソリューションにより、メーカーはダウンタイム、スクラップ率、運用コストを大幅に削減できるようになりました。

IoTセンサー、機械学習、データ分析などの技術の統合により、スマートマニュファクチャリングの機能は大きく変化しています。先進的なプラットフォームは現在、生産パフォーマンス、リソース利用率、サプライチェーン管理、資産の健全性に関する実用的な洞察を提供しています。これにより、管理者は主要な指標を追跡し、ボトルネックを特定し、故障を予測し、既存の資産やマテリアルフローからより多くの価値を引き出すことができます。

産業界の大手企業は、テクノロジーベンダーと提携し、それぞれの持続可能性と効率性の目標に合わせてカスタマイズしたスマートマニュファクチャリングソリューションを開発しています。例えば、協働ロボットは自動車企業のエネルギー使用量削減を支援し、ブロックチェーン対応のトレーサビリティソリューションはエレクトロニクス企業による原材料の責任ある調達を保証しています。

産業のデジタル化、省エネルギー、循環型ビジネスモデルを支援する政府の政策と政策は、スマートマニュファクチャリングインフラとリサイクル技術への投資を促進し続けると思われます。産業界が不良品ゼロやカーボンニュートラルといったインダストリー5.0の目標を追求する中、先進的なインダストリー4.0ソリューションに対する需要は今後数年間で大幅に増加すると予想されます。AI/MLアプリケーションとアナリティクスを通じてデータ主導のオペレーションをサポートする市場の能力は、長期的な成長見通しにとって極めて重要です。

主な市場促進要因

自動化とデジタル化への需要の高まり

リアルタイムの可視化と制御の必要性

品質向上と製品革新への注力

主な市場課題

統合と相互運用性の課題

データセキュリティとプライバシーへの懸念

主な市場動向

産業用IoTとコネクティビティソリューションの採用

人工知能と機械学習の出現

データ分析と高度分析への注力

目次

第1章 概要

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界のスマートマニュファクチャリング市場概要

第6章 世界のスマートマニュファクチャリング市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別（ハードウェア、ソフトウェア、サービス）
  • 技術別（機械学習、産業用3Dプリンティング、センサー、産業用ロボット、産業用IoT、機械状態監視、産業用人工知能、デジタルツイン、資産追跡・管理）
  • 最終用途産業別（プロセス産業、ディスクリート産業）
  • 地域別
• 企業別（2023）
• 市場マップ

第7章 北米のスマートマニュファクチャリング市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別
  • 技術別
  • 最終用途産業別
  • 国別
• 北米：国別分析
  • 米国
  • カナダ
  • メキシコ

第8章 欧州のスマートマニュファクチャリング市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別
  • 技術別
  • 最終用途産業別
  • 国別
• 欧州：国別分析
  • ドイツ
  • 英国
  • イタリア
  • フランス
  • スペイン

第9章 アジア太平洋地域のスマートマニュファクチャリング市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別
  • 技術別
  • 最終用途産業別
  • 国別
• アジア太平洋地域：国別分析
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア

第10章 南米のスマートマニュファクチャリング市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別
  • 技術別
  • 最終用途産業別
  • 国別
• 南米：国別分析
  • ブラジル
  • アルゼンチン
  • コロンビア

第11章 中東・アフリカのスマートマニュファクチャリング市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別
  • 技術別
  • 最終用途産業別
  • 国別
• 中東・アフリカ：国別分析
  • 南アフリカ
  • サウジアラビア
  • アラブ首長国連邦
  • クウェート
  • トルコ
  • エジプト

第12章 市場力学

• 促進要因
• 課題

第13章 市場動向と発展

第14章 企業プロファイル

• General Electric Company
• ABB Ltd
• Siemens AG
• Schneider Electric SE
• Emerson Electric Co
• FANUC Corporation
• Honeywell International Inc
• Mitsubishi Electric Corporation
• Yokogawa Electric Corporation.
• Stratasys Ltd

第15章 戦略的提言

第16章 調査会社について・免責事項

Global Smart Manufacturing market was valued at USD 257.67 billion in 2023 and is projected to register a compound annual growth rate of 14.82% during the forecast period through 2029.

The global smart manufacturing market has witnessed significant growth over the past decade, driven by increasing adoption across industries. Sectors such as automotive, electronics, heavy machinery, and food & beverage have come to recognize smart manufacturing technologies as critical enablers for optimizing production processes and improving operational efficiency.

Stringent environmental regulations regarding carbon emissions, waste generation and energy consumption have compelled large organizations to invest in advanced Industry 4.0 solutions. Leading technology providers have launched innovative smart manufacturing platforms boasting capabilities like predictive maintenance, quality inspection, real-time process monitoring and optimization. These solutions have enabled manufacturers to reduce downtime, scrap rates and operational costs substantially.

The integration of technologies like IoT sensors, machine learning and data analytics is transforming smart manufacturing capabilities. Advanced platforms now provide actionable insights into production performance, resource utilization, supply chain management and asset health. This allows managers to track key metrics, identify bottlenecks, predict failures and extract more value from existing assets and material flows.

Large industrial players have partnered with technology vendors to develop customized smart manufacturing solutions catering to their specific sustainability and efficiency goals. For example, collaborative robotics are helping automotive companies reduce energy usage while blockchain-enabled traceability solutions ensure responsible sourcing of raw materials by electronics firms.

Government policies and regulations supporting industrial digitalization, energy conservation and circular business models will continue driving investments in smart manufacturing infrastructure and recycling technologies. As industries pursue Industry 5.0 objectives like zero defects and carbon neutrality, demand for advanced Industry 4.0 solutions is expected to increase substantially over the coming years. The market's ability to support data-driven operations through AI/ML applications and analytics will be critical to its long-term growth prospects.

Key Market Drivers

Increasing Demand for Automation and Digitization

One of the key drivers for the smart manufacturing market is the increasing demand for automation and digitization across industries. As businesses strive to improve operational efficiency, reduce costs, and enhance productivity, they are turning to smart manufacturing solutions. Automation technologies such as robotics, artificial intelligence (AI), and machine learning (ML) are being deployed to streamline production processes, eliminate manual errors, and increase overall efficiency. The integration of digital technologies enables real-time data collection, analysis, and decision-making, leading to improved quality control, predictive maintenance, and optimized resource allocation. The demand for automation and digitization is expected to drive the growth of the smart manufacturing market.

Need for Real-Time Visibility and Control

Another significant driver for the smart manufacturing market is the need for real-time visibility and control over production processes. Traditional manufacturing systems often lack the ability to provide real-time insights into operations, making it challenging for businesses to identify bottlenecks, optimize workflows, and respond quickly to changing market demands. Smart manufacturing solutions address this challenge by leveraging technologies such as IoT sensors, cloud computing, and data analytics to collect and analyze real-time data from various sources. This enables manufacturers to gain a holistic view of their operations, monitor key performance indicators, and make data-driven decisions in real-time. The need for real-time visibility and control is driving the adoption of smart manufacturing solutions across industries.

Focus on Quality Improvement and Product Innovation

Quality improvement and product innovation are driving forces behind the adoption of smart manufacturing solutions. In today's competitive business landscape, organizations need to continuously improve the quality of their products and bring innovative offerings to the market to stay ahead of the competition. Smart manufacturing technologies enable businesses to implement advanced quality control measures, such as real-time monitoring, predictive analytics, and automated inspection systems. These technologies help identify defects, reduce scrap rates, and ensure consistent product quality. Additionally, smart manufacturing solutions facilitate product innovation by enabling rapid prototyping, customization, and agile production processes. The focus on quality improvement and product innovation is pushing businesses to invest in smart manufacturing solutions to enhance their competitiveness and meet evolving customer demands.

Overall, the increasing demand for automation and digitization, the need for real-time visibility and control, and the focus on quality improvement and product innovation are the key drivers propelling the growth of the smart manufacturing market. As businesses across industries recognize the benefits of smart manufacturing solutions in improving operational efficiency, optimizing resource utilization, and driving innovation, the market is expected to witness significant growth in the coming years.

Key Market Challenges

Integration and Interoperability Challenges

One of the major challenges facing the smart manufacturing market is the integration and interoperability of various systems and technologies. Smart manufacturing involves the convergence of multiple technologies, such as IoT, AI, cloud computing, and data analytics, to create a connected and intelligent manufacturing ecosystem. However, integrating these diverse technologies and ensuring seamless interoperability can be complex and challenging. Different systems may use different protocols, data formats, and communication standards, making it difficult to exchange data and information between them. This lack of integration and interoperability can hinder the smooth flow of data across the manufacturing value chain, leading to inefficiencies, data silos, and limited visibility into the entire production process. Overcoming these integration and interoperability challenges requires standardized protocols, robust data management systems, and collaboration among technology providers to develop open and interoperable solutions.

Data Security and Privacy Concerns

Another significant challenge for the smart manufacturing market is data security and privacy concerns. With the increasing connectivity and digitization of manufacturing processes, a vast amount of sensitive data is generated and transmitted across the smart manufacturing ecosystem. This includes data related to production processes, product designs, customer information, and intellectual property. Protecting this data from unauthorized access, cyber threats, and data breaches is crucial to maintaining the trust of customers, partners, and stakeholders. However, the interconnected nature of smart manufacturing systems and the use of cloud-based platforms can introduce vulnerabilities and potential entry points for cyberattacks. Additionally, compliance with data privacy regulations, such as the General Data Protection Regulation (GDPR), adds another layer of complexity to data security in smart manufacturing. Addressing these challenges requires robust cybersecurity measures, encryption techniques, access controls, and regular security audits to ensure the confidentiality, integrity, and availability of data throughout the smart manufacturing ecosystem.

Overall, the integration and interoperability challenges and data security and privacy concerns are significant hurdles that need to be addressed in the smart manufacturing market. Overcoming these challenges will require collaborative efforts from technology providers, standardization bodies, and regulatory authorities to develop open and interoperable solutions while ensuring the highest levels of data security and privacy. By addressing these challenges, the smart manufacturing market can unlock its full potential and enable businesses to achieve greater operational efficiency, productivity, and innovation.

Key Market Trends

Adoption of Industrial IoT and Connectivity Solutions

One of the prominent trends in the smart manufacturing market is the widespread adoption of Industrial Internet of Things (IIoT) and connectivity solutions. IIoT enables the integration of sensors, devices, and machines with the internet, allowing real-time data collection, analysis, and communication. This connectivity facilitates seamless communication between different components of the manufacturing ecosystem, including machines, production lines, supply chains, and enterprise systems. With IIoT, manufacturers can monitor and control their operations remotely, optimize production processes, and make data-driven decisions. The increasing availability of affordable and reliable connectivity solutions, such as 5G networks and edge computing, further accelerates the adoption of IIoT in smart manufacturing. This trend is expected to continue as businesses recognize the transformative potential of IIoT in improving operational efficiency, predictive maintenance, and overall productivity.

Emergence of Artificial Intelligence and Machine Learning

Another significant trend in the smart manufacturing market is the emergence of artificial intelligence (AI) and machine learning (ML) technologies. AI and ML algorithms enable machines and systems to learn from data, identify patterns, and make intelligent decisions without explicit programming. In the context of smart manufacturing, AI and ML algorithms can analyze vast amounts of data collected from sensors, machines, and production processes to identify anomalies, predict failures, and optimize operations. For example, AI-powered predictive maintenance systems can detect potential equipment failures before they occur, reducing downtime and maintenance costs. ML algorithms can also optimize production schedules, inventory management, and supply chain logistics based on real-time data and demand forecasts. As AI and ML technologies continue to advance, their integration into smart manufacturing systems will become more prevalent, enabling manufacturers to achieve higher levels of automation, efficiency, and agility.

Focus on Data Analytics and Advanced Analytics

Data analytics plays a crucial role in the smart manufacturing market, and there is a growing focus on leveraging advanced analytics techniques to extract actionable insights from the vast amount of data generated in manufacturing processes. Advanced analytics techniques, such as predictive analytics, prescriptive analytics, and cognitive analytics, enable manufacturers to go beyond descriptive analytics and gain deeper insights into their operations. By analyzing historical and real-time data, manufacturers can identify patterns, trends, and correlations that can help optimize production processes, improve quality control, and enhance overall efficiency. For example, predictive analytics can forecast equipment failures, allowing proactive maintenance to be performed, reducing downtime and improving asset utilization. Prescriptive analytics can optimize production schedules, considering factors such as machine availability, resource constraints, and customer demand. Cognitive analytics can analyze unstructured data, such as text and images, to extract valuable insights for decision-making. As the volume and complexity of data continue to grow, the adoption of advanced analytics techniques will become increasingly important for manufacturers to gain a competitive edge in the smart manufacturing market.

Segmental Insights

Component Insights

In 2023, the software segment dominated the Smart Manufacturing market and is expected to maintain its dominance during the forecast period. Software plays a crucial role in enabling the digital transformation of manufacturing processes by providing the necessary tools and platforms for data collection, analysis, and automation. Smart manufacturing software encompasses a wide range of applications, including manufacturing execution systems (MES), enterprise resource planning (ERP) software, product lifecycle management (PLM) software, and advanced analytics solutions. These software solutions enable manufacturers to streamline their operations, optimize production processes, and make data-driven decisions. The software segment's dominance can be attributed to several factors. The increasing adoption of Industrial Internet of Things (IIoT) and connectivity solutions has led to a massive influx of data from various sources within the manufacturing ecosystem. Smart manufacturing software allows manufacturers to harness this data and derive actionable insights to improve operational efficiency and productivity. The growing focus on advanced analytics and artificial intelligence (AI) technologies has further propelled the demand for software solutions. Manufacturers are leveraging AI-powered analytics tools to gain deeper insights into their operations, predict equipment failures, optimize production schedules, and enhance quality control. The shift towards cloud-based software solutions has also contributed to the dominance of the software segment. Cloud-based software offers scalability, flexibility, and cost-effectiveness, making it an attractive option for manufacturers of all sizes. Cloud-based software enables real-time collaboration, remote monitoring, and access to data from anywhere, further enhancing the efficiency and agility of smart manufacturing processes. Overall, the software segment's dominance in the Smart Manufacturing market is driven by its pivotal role in enabling digital transformation, data analytics, and AI-powered decision-making in the manufacturing industry.

Regional Insights

In 2023, The Asia Pacific region has established itself as the leader in the Smart Manufacturing market, a position it is projected to maintain throughout the forecast period. This dominance is driven by several critical factors, including rapid industrialization, significant technological advancements, and supportive government initiatives. Rapid industrialization in countries such as China, Japan, South Korea, and India has significantly boosted the manufacturing sectors in these nations. The growth in these sectors has been coupled with a strategic move towards adopting advanced manufacturing technologies to enhance productivity, efficiency, and competitiveness. The large manufacturing base in the Asia Pacific region provides an ideal environment for the implementation of smart manufacturing solutions, which incorporate technologies like the Internet of Things (IoT), artificial intelligence (AI), robotics, and big data analytics. Technological advancements are a key factor in solidifying the Asia Pacific region's leadership in smart manufacturing. The region is home to leading technology companies and research institutions that drive innovation in manufacturing technologies. For instance, Japan and South Korea are known for their advancements in robotics and automation, while China has made significant progress in AI and IoT applications. These technological capabilities enable manufacturers in the region to adopt and integrate smart manufacturing solutions more effectively than many other regions. Government initiatives and policies have further supported the adoption of smart manufacturing in the Asia Pacific region. Various governments have launched strategic programs and incentives to promote the modernization of manufacturing processes. China's "Made in China 2025" initiative, for example, aims to upgrade the manufacturing sector by encouraging the adoption of smart manufacturing technologies. Similarly, Japan's Society 5.0 vision emphasizes the integration of cyberspace and physical space, promoting the use of advanced technologies in manufacturing. The presence of a skilled workforce capable of operating and maintaining advanced manufacturing systems has been a significant enabler for the region. Emphasis on education and training in relevant fields ensures a steady supply of qualified professionals who can drive the implementation and continuous improvement of smart manufacturing practices. The Asia Pacific region's dominance in the smart manufacturing market is a result of rapid industrialization, technological advancements, supportive government policies, and a skilled workforce. These factors collectively position the region as a leader in smart manufacturing, with strong prospects for maintaining this leadership in the future.

Key Market Players

• General Electric Company
• ABB Ltd
• Siemens AG
• Schneider Electric SE
• Emerson Electric Co
• Honeywell International Inc
• Mitsubishi Electric Corporation
• Yokogawa Electric Corporation
• FANUC Corporation
• Stratasys Ltd

Report Scope:

In this report, the Global Smart Manufacturing Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Smart Manufacturing Market, By Component:

• Hardware
• Software
• Services

Smart Manufacturing Market, By Technology:

• Machine Learning
• Industrial 3D Printing
• Sensors
• Industrial Robotics
• Industrial IoT
• Machine Condition Monitoring
• Industrial Artificial Intelligence
• Digital Twin
• Asset Tracking and Management

Smart Manufacturing Market, By End-Use Industry:

• Process Industries
• Discrete Industries

Smart Manufacturing Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Kuwait
  • Turkey
  • Egypt

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Smart Manufacturing Market.

Available Customizations:

Global Smart Manufacturing Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Formulation of the Scope
• 2.4. Assumptions and Limitations
• 2.5. Types of Research
  • 2.5.1. Secondary Research
  • 2.5.2. Primary Research
• 2.6. Approach for the Market Study
  • 2.6.1. The Bottom-Up Approach
  • 2.6.2. The Top-Down Approach
• 2.7. Methodology Followed for Calculation of Market Size & Market Shares
• 2.8. Forecasting Methodology
  • 2.8.1. Data Triangulation & Validation

3. Executive Summary

4. Voice of Customer

5. Global Smart Manufacturing Market Overview

6. Global Smart Manufacturing Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component (Hardware, Software, Services)
  • 6.2.2. By Technology (Machine Learning, Industrial 3D Printing, Sensors, Industrial Robotics, Industrial IoT, Machine Condition Monitoring, Industrial Artificial Intelligence, Digital Twin, Asset Tracking and Management)
  • 6.2.3. By End-Use Industry (Process Industries, Discrete Industries)
  • 6.2.4. By Region
• 6.3. By Company (2023)
• 6.4. Market Map

7. North America Smart Manufacturing Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Technology
  • 7.2.3. By End-Use Industry
  • 7.2.4. By Country
• 7.3. North America: Country Analysis
  • 7.3.1. United States Smart Manufacturing Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Technology
      • 7.3.1.2.3. By End-Use Industry
  • 7.3.2. Canada Smart Manufacturing Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Technology
      • 7.3.2.2.3. By End-Use Industry
  • 7.3.3. Mexico Smart Manufacturing Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Technology
      • 7.3.3.2.3. By End-Use Industry

8. Europe Smart Manufacturing Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Technology
  • 8.2.3. By End-Use Industry
  • 8.2.4. By Country
• 8.3. Europe: Country Analysis
  • 8.3.1. Germany Smart Manufacturing Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Technology
      • 8.3.1.2.3. By End-Use Industry
  • 8.3.2. United Kingdom Smart Manufacturing Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Technology
      • 8.3.2.2.3. By End-Use Industry
  • 8.3.3. Italy Smart Manufacturing Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Technology
      • 8.3.3.2.3. By End-Use Industry
  • 8.3.4. France Smart Manufacturing Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Technology
      • 8.3.4.2.3. By End-Use Industry
  • 8.3.5. Spain Smart Manufacturing Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Technology
      • 8.3.5.2.3. By End-Use Industry

9. Asia-Pacific Smart Manufacturing Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Technology
  • 9.2.3. By End-Use Industry
  • 9.2.4. By Country
• 9.3. Asia-Pacific: Country Analysis
  • 9.3.1. China Smart Manufacturing Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Technology
      • 9.3.1.2.3. By End-Use Industry
  • 9.3.2. India Smart Manufacturing Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Technology
      • 9.3.2.2.3. By End-Use Industry
  • 9.3.3. Japan Smart Manufacturing Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Technology
      • 9.3.3.2.3. By End-Use Industry
  • 9.3.4. South Korea Smart Manufacturing Market Outlook
    • 9.3.4.1. Market Size & Forecast
      • 9.3.4.1.1. By Value
    • 9.3.4.2. Market Share & Forecast
      • 9.3.4.2.1. By Component
      • 9.3.4.2.2. By Technology
      • 9.3.4.2.3. By End-Use Industry
  • 9.3.5. Australia Smart Manufacturing Market Outlook
    • 9.3.5.1. Market Size & Forecast
      • 9.3.5.1.1. By Value
    • 9.3.5.2. Market Share & Forecast
      • 9.3.5.2.1. By Component
      • 9.3.5.2.2. By Technology
      • 9.3.5.2.3. By End-Use Industry

10. South America Smart Manufacturing Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Technology
  • 10.2.3. By End-Use Industry
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Smart Manufacturing Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Technology
      • 10.3.1.2.3. By End-Use Industry
  • 10.3.2. Argentina Smart Manufacturing Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Technology
      • 10.3.2.2.3. By End-Use Industry
  • 10.3.3. Colombia Smart Manufacturing Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Technology
      • 10.3.3.2.3. By End-Use Industry

11. Middle East and Africa Smart Manufacturing Market Outlook

• 11.1. Market Size & Forecast
  • 11.1.1. By Value
• 11.2. Market Share & Forecast
  • 11.2.1. By Component
  • 11.2.2. By Technology
  • 11.2.3. By End-Use Industry
  • 11.2.4. By Country
• 11.3. MEA: Country Analysis
  • 11.3.1. South Africa Smart Manufacturing Market Outlook
    • 11.3.1.1. Market Size & Forecast
      • 11.3.1.1.1. By Value
    • 11.3.1.2. Market Share & Forecast
      • 11.3.1.2.1. By Component
      • 11.3.1.2.2. By Technology
      • 11.3.1.2.3. By End-Use Industry
  • 11.3.2. Saudi Arabia Smart Manufacturing Market Outlook
    • 11.3.2.1. Market Size & Forecast
      • 11.3.2.1.1. By Value
    • 11.3.2.2. Market Share & Forecast
      • 11.3.2.2.1. By Component
      • 11.3.2.2.2. By Technology
      • 11.3.2.2.3. By End-Use Industry
  • 11.3.3. UAE Smart Manufacturing Market Outlook
    • 11.3.3.1. Market Size & Forecast
      • 11.3.3.1.1. By Value
    • 11.3.3.2. Market Share & Forecast
      • 11.3.3.2.1. By Component
      • 11.3.3.2.2. By Technology
      • 11.3.3.2.3. By End-Use Industry
  • 11.3.4. Kuwait Smart Manufacturing Market Outlook
    • 11.3.4.1. Market Size & Forecast
      • 11.3.4.1.1. By Value
    • 11.3.4.2. Market Share & Forecast
      • 11.3.4.2.1. By Component
      • 11.3.4.2.2. By Technology
      • 11.3.4.2.3. By End-Use Industry
  • 11.3.5. Turkey Smart Manufacturing Market Outlook
    • 11.3.5.1. Market Size & Forecast
      • 11.3.5.1.1. By Value
    • 11.3.5.2. Market Share & Forecast
      • 11.3.5.2.1. By Component
      • 11.3.5.2.2. By Technology
      • 11.3.5.2.3. By End-Use Industry
  • 11.3.6. Egypt Smart Manufacturing Market Outlook
    • 11.3.6.1. Market Size & Forecast
      • 11.3.6.1.1. By Value
    • 11.3.6.2. Market Share & Forecast
      • 11.3.6.2.1. By Component
      • 11.3.6.2.2. By Technology
      • 11.3.6.2.3. By End-Use Industry

12. Market Dynamics

• 12.1. Drivers
• 12.2. Challenges

13. Market Trends & Developments

14. Company Profiles

• 14.1. General Electric Company
  • 14.1.1. Business Overview
  • 14.1.2. Key Revenue and Financials
  • 14.1.3. Recent Developments
  • 14.1.4. Key Personnel/Key Contact Person
  • 14.1.5. Key Product/Services Offered
• 14.2. ABB Ltd
  • 14.2.1. Business Overview
  • 14.2.2. Key Revenue and Financials
  • 14.2.3. Recent Developments
  • 14.2.4. Key Personnel/Key Contact Person
  • 14.2.5. Key Product/Services Offered
• 14.3. Siemens AG
  • 14.3.1. Business Overview
  • 14.3.2. Key Revenue and Financials
  • 14.3.3. Recent Developments
  • 14.3.4. Key Personnel/Key Contact Person
  • 14.3.5. Key Product/Services Offered
• 14.4. Schneider Electric SE
  • 14.4.1. Business Overview
  • 14.4.2. Key Revenue and Financials
  • 14.4.3. Recent Developments
  • 14.4.4. Key Personnel/Key Contact Person
  • 14.4.5. Key Product/Services Offered
• 14.5. Emerson Electric Co
  • 14.5.1. Business Overview
  • 14.5.2. Key Revenue and Financials
  • 14.5.3. Recent Developments
  • 14.5.4. Key Personnel/Key Contact Person
  • 14.5.5. Key Product/Services Offered
• 14.6. FANUC Corporation
  • 14.6.1. Business Overview
  • 14.6.2. Key Revenue and Financials
  • 14.6.3. Recent Developments
  • 14.6.4. Key Personnel/Key Contact Person
  • 14.6.5. Key Product/Services Offered
• 14.7. Honeywell International Inc
  • 14.7.1. Business Overview
  • 14.7.2. Key Revenue and Financials
  • 14.7.3. Recent Developments
  • 14.7.4. Key Personnel/Key Contact Person
  • 14.7.5. Key Product/Services Offered
• 14.8. Mitsubishi Electric Corporation
  • 14.8.1. Business Overview
  • 14.8.2. Key Revenue and Financials
  • 14.8.3. Recent Developments
  • 14.8.4. Key Personnel/Key Contact Person
  • 14.8.5. Key Product/Services Offered
• 14.9. Yokogawa Electric Corporation.
  • 14.9.1. Business Overview
  • 14.9.2. Key Revenue and Financials
  • 14.9.3. Recent Developments
  • 14.9.4. Key Personnel/Key Contact Person
  • 14.9.5. Key Product/Services Offered
• 14.10. Stratasys Ltd
  • 14.10.1. Business Overview
  • 14.10.2. Key Revenue and Financials
  • 14.10.3. Recent Developments
  • 14.10.4. Key Personnel/Key Contact Person
  • 14.10.5. Key Product/Services Offered

15. Strategic Recommendations

16. About Us & Disclaimer