시장보고서
상품코드
1954986

스마트 제조 시장 규모, 점유율, 성장 및 세계 산업 분석 : 유형별, 용도별, 지역별 인사이트와 예측(2026-2034년)

Smart Manufacturing Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2026-2034

발행일: | 리서치사: 구분자 Fortune Business Insights Pvt. Ltd. | 페이지 정보: 영문 160 Pages | 배송안내 : 문의

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

스마트 제조 시장 성장요인

세계 스마트 제조 시장은 2025년 3,943억 5,000만 달러로 평가되며, 2026년 4,464억 5,000만 달러에서 2034년까지 1조 3,391억 7,000만 달러로 성장하여 예측 기간(2026-2034) 동안 14.70%의 높은 CAGR을 나타낼 것으로 예상됩니다. 아시아태평양은 급속한 산업화와 인더스트리 4.0 기술의 보급 확대에 힘입어 2025년 34.40%의 점유율로 세계 시장을 주도했습니다. 또한, 미국 스마트 제조 시장은 2032년까지 1,868억 7,000만 달러에 달할 것으로 예상되며, 이는 지역적 모멘텀을 강하게 반영하고 있습니다.

스마트 제조는 인공지능(AI), 사물인터넷(IoT), 빅데이터, 클라우드 컴퓨팅, 머신러닝(ML), 5G 연결 등 첨단 기술을 통합하여 전체 제조 시설의 생산성, 운영 효율성, 자동화를 향상시킵니다.

시장 동향

빅데이터, IoT, 5G의 역할 확대

스마트 제조 시장을 주도하는 가장 두드러진 트렌드 중 하나는 빅데이터와 IoT 기술의 적용 확대입니다. 제조 시설에서는 연결된 장치, 센서, 기계를 통해 방대한 양의 정형 데이터와 비정형 데이터가 생성됩니다. AI 기반 분석 플랫폼은 이 데이터를 처리하여 워크플로우 최적화, 예지보전, 실시간 의사결정을 실현합니다.

세계 IoT 생태계는 빠르게 성장하고 있으며, 예측 기간 동안 24.9%의 성장률을 보일 것으로 예상됩니다. 또한, 센서 기술, 머신비전 시스템, 레이저 빔 스캐닝, 피드백 제어 시스템의 발전은 자동화된 생산 환경을 강화하고 있습니다.

5G 네트워크의 등장은 초저지연, 고속 연결, 디바이스 위치정보의 정확도 향상, 확장성 강화를 통해 제조업에 혁명을 가져올 것으로 기대되고 있습니다. 화웨이의 추정에 따르면, 5G는 2030년까지 전 세계 제조업 GDP를 7,400억 달러 증가시키고, 스마트 팩토리의 도입을 더욱 가속화할 수 있습니다.

시장 성장 촉진요인

디지털 인프라 투자 확대

세계 각국의 정부와 기업들은 디지털 전환에 많은 투자를 하고 있습니다. 예를 들어, 인도는 2020년 5월 제조업을 포함한 산업 진흥을 위한 경제 대책의 일환으로 2억 6,500만 달러(20조 루피)를 투자했습니다. 마찬가지로 독일 정부도 2020년 5월 경제 회복을 지원하기 위해 1,400억 달러를 투자하고 있습니다.

자동화에 대한 투자도 크게 증가하고 있습니다. 인도에서만 제조업의 자동화 투자는 35억 달러에 달할 것으로 예상되며, 많은 고용 기회를 창출하고 있습니다. 이러한 투자를 통해 기업들은 로봇공학, 산업용 3D 프린팅, SCADA 시스템, PLC, 제조실행시스템(MES) 등의 도입을 촉진하고 있습니다.

억제요인

높은 초기 투자 비용

높은 성장 가능성에도 불구하고, 막대한 선행투자가 여전히 큰 과제로 남아있습니다. 스마트 제조 인프라를 도입하기 위해서는 하드웨어, 소프트웨어, 사이버 보안, 숙련된 인력 양성에 많은 지출이 필요합니다. COVID-19 팬데믹 이후 많은 기업들이 재정적 제약에 직면하여 자동화 투자가 늦어지고 있습니다. 이러한 비용 장벽은 특히 중소기업(SME)에서의 도입을 제한할 수 있습니다.

시장 세분화 분석

구성요소별

시장 세분화는 솔루션과 서비스로 구분됩니다.

솔루션 분야는 2026년 75.50%의 점유율과 3,370억 8,000만 달러로 시장을 독점하고 있습니다. 여기에는 산업용 3D 프린팅, PLC, MES, 로봇 프로세스 자동화(RPA), SCADA, 원격 모니터링 소프트웨어가 포함됩니다. 중공업, 자동차, 전자산업의 수요 확대가 이러한 우위를 뒷받침하고 있습니다.

전문 서비스 및 매니지드 서비스를 포함한 서비스 부문은 기업의 시스템 통합 및 유지보수 지원에 대한 수요가 증가함에 따라 꾸준한 성장이 예상됩니다.

전개별

구축별로는 클라우드와 온프레미스로 구분됩니다.

클라우드 부문은 확장성, 유연성, 원격 인력 관리 등을 바탕으로 2026년 65.75%의 점유율과 2,935억 3,000만 달러 규모로 시장을 장악할 것으로 예측됩니다. 클라우드 기반의 스마트 제조 솔루션은 안전한 오프프레미스 인프라로 인해 점점 더 선호되는 추세입니다.

기업 규모별

대기업 부문은 강력한 재무 역량과 세계 사업 확장으로 2026년 3,228억 2,200만 달러로 72.31%의 점유율을 차지하며 선두를 유지할 것으로 예상됩니다. 중소기업의 경우, 합리적인 가격의 자동화 솔루션이 제공됨에 따라 더 높은 성장이 예상됩니다.

산업별

개별 생산 산업 부문은 자동차, 전자, 항공우주, 산업기계 부문에 힘입어 2026년 60.47%의 점유율과 2,699억 6,000만 달러로 시장을 장악할 것으로 예상됩니다. 제약 및 화학을 포함한 공정 산업 부문에서도 첨단 자동화 하드웨어의 도입이 빠르게 진행되고 있습니다.

지역별 인사이트

아시아태평양은 2025년 1,515억 9,000만 달러로 시장을 주도할 것으로 예상됩니다. 중국, 일본, 인도의 인더스트리 4.0 도입이 활발해지면서 이 지역은 계속 확대되고 있습니다.

  • 중국 시장 : 2026년 기준 664억 5,000만 달러
  • 일본 시장 : 2026년 428억 1,000만 달러
  • 인도 시장 : 2026년 기준 336억 2,000만 달러

북미는 여전히 2위 시장이며, 미국은 2026년까지 914억 7,000만 달러에 달할 것으로 예상됩니다. 유럽은 독일과 영국의 자동화 투자에 힘입어 꾸준히 성장하고 있습니다.

주요 기업

주요 기업으로는 ABB, Siemens AG, General Electric, Honeywell International, Rockwell Automation, Schneider Electric, Mitsubishi Electric, Emerson Electric Co., Robert Bosch GmbH 등이 있습니다. 이들 기업은 전략적 제휴, 제품 다각화, 인수, 첨단 솔루션 개발에 주력하고 있습니다.

목차

제1장 소개

제2장 주요 요약

제3장 시장 역학

제4장 경쟁 구도

제5장 세계의 스마트 제조 시장 규모 추정·예측(부문별, 2021-2034년)

제6장 북미의 스마트 제조 시장 규모 추정·예측(부문별, 2021-2034년)

제7장 유럽의 스마트 제조 시장 규모 추정·예측(부문별, 2021-2034년)

제8장 아시아태평양의 스마트 제조 시장 규모 추정·예측(부문별, 2021-2034년)

제9장 중동 및 아프리카의 스마트 제조 시장 규모 추정·예측(부문별, 2021-2034년)

제10장 라틴아메리카의 스마트 제조 시장 규모 추정·예측(부문별, 2021-2034년)

제11장 주요 10개사 기업 개요

KSM 26.04.07

Growth Factors of smart manufacturing Market

The global smart manufacturing market was valued at USD 394.35 billion in 2025 and is projected to grow from USD 446.45 billion in 2026 to USD 1,339.17 billion by 2034, exhibiting a strong CAGR of 14.70% during the forecast period (2026-2034). Asia Pacific dominated the global market with a 34.40% share in 2025, driven by rapid industrialization and increasing adoption of Industry 4.0 technologies. Additionally, the U.S. smart manufacturing market is projected to reach USD 186.87 billion by 2032, reflecting strong regional momentum.

Smart manufacturing integrates advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Big Data, Cloud Computing, Machine Learning (ML), and 5G connectivity to enhance productivity, operational efficiency, and automation across manufacturing facilities.

Market Trends

Expanding Role of Big Data, IoT, and 5G

One of the most prominent trends driving the smart manufacturing market is the expanding application of Big Data and IoT technologies. Manufacturing facilities generate massive volumes of structured and unstructured data through connected devices, sensors, and machines. AI-powered analytics platforms process this data to optimize workflows, predictive maintenance, and real-time decision-making.

The global IoT ecosystem is growing rapidly, with IoT projected to exhibit a growth rate of 24.9% during the forecast period. Additionally, advancements in sensor technologies, machine vision systems, laser beam scanning, and feedback control systems are strengthening automated production environments.

The emergence of 5G networks is expected to revolutionize manufacturing by enabling ultra-low latency, high-speed connectivity, improved device positioning, and enhanced scalability. Huawei estimates that 5G could increase global manufacturing GDP by USD 740 billion by 2030, further accelerating smart factory adoption.

Market Growth Drivers

Increasing Investment in Digital Infrastructure

Governments and enterprises worldwide are investing heavily in digital transformation. For example, India invested USD 265.0 million (20 lakh crore) in May 2020 as part of its economic package to boost industries including manufacturing. Similarly, the German government invested USD 140 billion in May 2020 to support economic recovery.

Automation investment is also growing significantly. In India alone, automation in manufacturing was expected to reach USD 3.50 billion, creating substantial employment opportunities. These investments are encouraging enterprises to adopt robotics, industrial 3D printing, SCADA systems, PLCs, and Manufacturing Execution Systems (MES).

Restraining Factors

High Initial Investment Costs

Despite strong growth potential, high upfront capital investment remains a major challenge. Implementing smart manufacturing infrastructure requires substantial spending on hardware, software, cybersecurity, and skilled workforce training. Following the COVID-19 pandemic, many enterprises faced financial constraints, delaying automation investments. This cost barrier may limit adoption, particularly among small and medium enterprises (SMEs).

Market Segmentation Analysis

By Component

The market is segmented into solutions and services.

The solutions segment dominated with a 75.50% share and USD 337.08 billion in 2026. It includes industrial 3D printing, PLCs, MES, robotic process automation (RPA), SCADA, and remote monitoring software. Growing demand from heavy manufacturing, automotive, and electronics industries supports this dominance.

The services segment, including professional and managed services, is expected to grow steadily as enterprises require system integration and maintenance support.

By Deployment

Based on deployment, the market is divided into cloud and on-premises.

The cloud segment dominated with a 65.75% share and USD 293.53 billion in 2026, driven by scalability, flexibility, and remote workforce management. Cloud-based smart manufacturing solutions are increasingly preferred due to secure, off-premises infrastructure.

By Enterprise Size

The large enterprise segment led with a 72.31% share and USD 322.82 billion in 2026, owing to their strong financial capabilities and global operations. SMEs are expected to witness higher growth as affordable automation solutions become available.

By Industry

The discrete industry segment dominated with a 60.47% share and USD 269.96 billion in 2026, driven by automotive, electronics, aerospace, and industrial machinery sectors. The process industry segment, including pharmaceuticals and chemicals, is also witnessing strong adoption of advanced automation hardware.

Regional Insights

Asia Pacific led the market with USD 151.59 billion in 2025. The region continues to expand due to strong Industry 4.0 adoption across China, Japan, and India.

  • China market: USD 66.45 billion in 2026
  • Japan market: USD 42.81 billion in 2026
  • India market: USD 33.62 billion in 2026

North America remains the second-largest market, with the U.S. expected to reach USD 91.47 billion by 2026. Europe is growing steadily, supported by automation investments in Germany and the UK.

Key Industry Players

Major companies include ABB, Siemens AG, General Electric, Honeywell International, Rockwell Automation, Schneider Electric, Mitsubishi Electric, Emerson Electric Co., and Robert Bosch GmbH. These players focus on strategic partnerships, product diversification, acquisitions, and advanced solution development.

Conclusion

The global smart manufacturing market is poised for substantial expansion, rising from USD 394.35 billion in 2025 to USD 1,339.17 billion by 2034 at a CAGR of 14.70%. Growth is fueled by rapid adoption of AI, IoT, Big Data, cloud computing, and 5G connectivity across manufacturing ecosystems. While high initial investment costs may restrain smaller players, increasing government initiatives, digital transformation strategies, and Industry 4.0 adoption are expected to sustain long-term growth. Asia Pacific will continue to dominate, while North America and Europe maintain steady momentum. Overall, smart manufacturing represents a transformative shift toward highly automated, efficient, and data-driven industrial operations worldwide.

Segmentation By Component

  • Solution
    • Industrial 3D Printing
    • Programmable Logic Controller (PLC)
    • Product Lifecycle Management (PLM)
    • Manufacturing Execution System (MES)
    • Robotic Process Automation (RPA)
    • Remote Monitoring software
    • Supervisory Controller and Data Acquisition (SCADA)
    • Others (Energy Management Systems, Fleet Management Solutions)
  • Services
    • Professional Services
    • Managed Services

By Deployment

  • Cloud
  • On-Premises

By Enterprise Size

  • Large Enterprises
  • Small & Medium Enterprises

By Industry

  • Discrete Industry
    • Automotive
    • Transportation
    • Industrial Machinery
    • Medical Devices
    • Semiconductor and Electronics/High-Tech
    • Others (Aerospace and Defense)
  • Process Industry
    • Pharmaceuticals
    • Mining and Metals
    • Chemicals
    • Pulp and Paper
    • Others (Cable)

By Region

  • North America (By Component, By Deployment, By Enterprise Size, By Industry, By Region)
    • U.S. (By Solution)
    • Canada (By Solution)
  • Europe (By Component, By Deployment, By Enterprise Size, By Industry, By Region)
    • U.K. (By Solution)
    • Germany (By Solution)
    • France (By Solution)
    • Italy (By Solution)
    • Spain (By Solution)
    • Rest of Europe
  • Asia Pacific (By Component, By Deployment, By Enterprise Size, By Industry, By Region)
    • China (By Solution)
    • Japan (By Solution)
    • India (By Solution)
    • Southeast Asia (By Solution)
    • Rest of Asia Pacific
  • Middle East & Africa (By Component, By Deployment, By Enterprise Size, By Industry, By Region)
    • GCC (By Solution)
    • South Africa (By Solution)
    • Rest of the Middle East & Africa
  • Latin America (By Component, By Deployment, By Enterprise Size, By Industry, By Region)
    • Brazil (By Solution)
    • Mexico (By Solution)
    • Rest of Latin America

Table of Content

1. Introduction

  • 1.1. Definition, By Segment
  • 1.2. Research Methodology/Approach
  • 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

  • 3.1. Macro and Micro Economic Indicators
  • 3.2. Drivers, Restraints, Opportunities and Trends
  • 3.3. Impact of COVID-19

4. Competition Landscape

  • 4.1. Business Strategies Adopted by Key Players
  • 4.2. Consolidated SWOT Analysis of Key Players
  • 4.3. Global Smart Manufacturing Key Players Market Share/Ranking, 2025

5. Global Smart Manufacturing Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 5.1. Key Findings
  • 5.2. By Component (USD)
    • 5.2.1. Solution
      • 5.2.1.1. Industrial 3D Printing
      • 5.2.1.2. Programmable Logic Controller (PLC)
      • 5.2.1.3. Product Lifecycle Management (PLM)
      • 5.2.1.4. Manufacturing Execution System (MES)
      • 5.2.1.5. Robotic Process Automation (RPA)
      • 5.2.1.6. Remote Monitoring software
      • 5.2.1.7. Supervisory Controller and Data Acquisition (SCADA)
      • 5.2.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 5.2.2. Services
      • 5.2.2.1. Professional Services
      • 5.2.2.2. Managed Services
  • 5.3. By Deployment (USD)
    • 5.3.1. Cloud
    • 5.3.2. On-Premises
  • 5.4. By Enterprise Size (USD)
    • 5.4.1. Large Enterprises
    • 5.4.2. Small & Medium Enterprises
  • 5.5. By Industry (USD)
    • 5.5.1. Discrete Industry
      • 5.5.1.1. Automotive
      • 5.5.1.2. Transportation
      • 5.5.1.3. Industrial machinery
      • 5.5.1.4. Medical devices
      • 5.5.1.5. Semiconductor and Electronics/High-Tech
      • 5.5.1.6. Others (Aerospace and Defense, etc.)
    • 5.5.2. Process Industry
      • 5.5.2.1. Pharmaceuticals
      • 5.5.2.2. Mining and Metals
      • 5.5.2.3. Chemicals
      • 5.5.2.4. Pulp and Paper
      • 5.5.2.5. Others (Cable, etc.)
  • 5.6. By Region (USD)
    • 5.6.1. North America
    • 5.6.2. Latin America
    • 5.6.3. Europe
    • 5.6.4. Middle East & Africa
    • 5.6.5. Asia Pacific

6. North America Smart Manufacturing Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 6.1. Key Findings
  • 6.2. By Component (USD)
    • 6.2.1. Solution
      • 6.2.1.1. Industrial 3D Printing
      • 6.2.1.2. Programmable Logic Controller (PLC)
      • 6.2.1.3. Product Lifecycle Management (PLM)
      • 6.2.1.4. Manufacturing Execution System (MES)
      • 6.2.1.5. Robotic Process Automation (RPA)
      • 6.2.1.6. Remote Monitoring software
      • 6.2.1.7. Supervisory Controller and Data Acquisition (SCADA)
      • 6.2.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 6.2.2. Services
      • 6.2.2.1. Professional Services
      • 6.2.2.2. Managed Services
  • 6.3. By Deployment (USD)
    • 6.3.1. Cloud
    • 6.3.2. On-Premises
  • 6.4. By Enterprise Size (USD)
    • 6.4.1. Large Enterprises
    • 6.4.2. Small & Medium Enterprises
  • 6.5. By Industry (USD)
    • 6.5.1. Discrete Industry
      • 6.5.1.1. Automotive
      • 6.5.1.2. Transportation
      • 6.5.1.3. Industrial machinery
      • 6.5.1.4. Medical devices
      • 6.5.1.5. Semiconductor and Electronics/High-Tech
      • 6.5.1.6. Others (Aerospace and Defense, etc.)
    • 6.5.2. Process Industry
      • 6.5.2.1. Pharmaceuticals
      • 6.5.2.2. Mining and Metals
      • 6.5.2.3. Chemicals
      • 6.5.2.4. Pulp and Paper
      • 6.5.2.5. Others (Cable, etc.)
  • 6.6. By Country (USD)
    • 6.6.1. United States
      • 6.6.1.1. Solution
        • 6.6.1.1.1. Industrial 3D Printing
        • 6.6.1.1.2. Programmable Logic Controller (PLC)
        • 6.6.1.1.3. Product Lifecycle Management (PLM)
        • 6.6.1.1.4. Manufacturing Execution System (MES)
        • 6.6.1.1.5. Robotic Process Automation (RPA)
        • 6.6.1.1.6. Remote Monitoring software
        • 6.6.1.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 6.6.1.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 6.6.2. Canada
      • 6.6.2.1. Solution
        • 6.6.2.1.1. Industrial 3D Printing
        • 6.6.2.1.2. Programmable Logic Controller (PLC)
        • 6.6.2.1.3. Product Lifecycle Management (PLM)
        • 6.6.2.1.4. Manufacturing Execution System (MES)
        • 6.6.2.1.5. Robotic Process Automation (RPA)
        • 6.6.2.1.6. Remote Monitoring software
        • 6.6.2.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 6.6.2.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)

7. Europe Smart Manufacturing Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 7.1. Key Findings
  • 7.2. By Component (USD)
    • 7.2.1. Solution
      • 7.2.1.1. Industrial 3D Printing
      • 7.2.1.2. Programmable Logic Controller (PLC)
      • 7.2.1.3. Product Lifecycle Management (PLM)
      • 7.2.1.4. Manufacturing Execution System (MES)
      • 7.2.1.5. Robotic Process Automation (RPA)
      • 7.2.1.6. Remote Monitoring software
      • 7.2.1.7. Supervisory Controller and Data Acquisition (SCADA)
      • 7.2.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 7.2.2. Services
      • 7.2.2.1. Professional Services
      • 7.2.2.2. Managed Services
  • 7.3. By Deployment (USD)
    • 7.3.1. Cloud
    • 7.3.2. On-Premises
  • 7.4. By Enterprise Size (USD)
    • 7.4.1. Large Enterprises
    • 7.4.2. Small & Medium Enterprises
  • 7.5. By Industry (USD)
    • 7.5.1. Discrete Industry
      • 7.5.1.1. Automotive
      • 7.5.1.2. Transportation
      • 7.5.1.3. Industrial machinery
      • 7.5.1.4. Medical devices
      • 7.5.1.5. Semiconductor and Electronics/High-Tech
      • 7.5.1.6. Others (Aerospace and Defense, etc.)
    • 7.5.2. Process Industry
      • 7.5.2.1. Pharmaceuticals
      • 7.5.2.2. Mining and Metals
      • 7.5.2.3. Chemicals
      • 7.5.2.4. Pulp and Paper
    • 7.5.3. Others (Cable, etc.)
  • 7.6. By Country (USD)
    • 7.6.1. United Kingdom
      • 7.6.1.1. Solution
        • 7.6.1.1.1. Industrial 3D Printing
        • 7.6.1.1.2. Programmable Logic Controller (PLC)
        • 7.6.1.1.3. Product Lifecycle Management (PLM)
        • 7.6.1.1.4. Manufacturing Execution System (MES)
        • 7.6.1.1.5. Robotic Process Automation (RPA)
        • 7.6.1.1.6. Remote Monitoring software
        • 7.6.1.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 7.6.1.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 7.6.2. Germany
      • 7.6.2.1. Solution
        • 7.6.2.1.1. Industrial 3D Printing
        • 7.6.2.1.2. Programmable Logic Controller (PLC)
        • 7.6.2.1.3. Product Lifecycle Management (PLM)
        • 7.6.2.1.4. Manufacturing Execution System (MES)
        • 7.6.2.1.5. Robotic Process Automation (RPA)
        • 7.6.2.1.6. Remote Monitoring software
        • 7.6.2.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 7.6.2.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 7.6.3. France
      • 7.6.3.1. Solution
        • 7.6.3.1.1. Industrial 3D Printing
        • 7.6.3.1.2. Programmable Logic Controller (PLC)
        • 7.6.3.1.3. Product Lifecycle Management (PLM)
        • 7.6.3.1.4. Manufacturing Execution System (MES)
        • 7.6.3.1.5. Robotic Process Automation (RPA)
        • 7.6.3.1.6. Remote Monitoring software
        • 7.6.3.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 7.6.3.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 7.6.4. Italy
      • 7.6.4.1. Solution
        • 7.6.4.1.1. Industrial 3D Printing
        • 7.6.4.1.2. Programmable Logic Controller (PLC)
        • 7.6.4.1.3. Product Lifecycle Management (PLM)
        • 7.6.4.1.4. Manufacturing Execution System (MES)
        • 7.6.4.1.5. Robotic Process Automation (RPA)
        • 7.6.4.1.6. Remote Monitoring software
        • 7.6.4.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 7.6.4.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 7.6.5. Spain
      • 7.6.5.1. Solution
        • 7.6.5.1.1. Industrial 3D Printing
        • 7.6.5.1.2. Programmable Logic Controller (PLC)
        • 7.6.5.1.3. Product Lifecycle Management (PLM)
        • 7.6.5.1.4. Manufacturing Execution System (MES)
        • 7.6.5.1.5. Robotic Process Automation (RPA)
        • 7.6.5.1.6. Remote Monitoring software
        • 7.6.5.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 7.6.5.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 7.6.6. Rest of Europe

8. Asia Pacific Smart Manufacturing Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 8.1. Key Findings
  • 8.2. By Component (USD)
    • 8.2.1. Solution
      • 8.2.1.1. Industrial 3D Printing
      • 8.2.1.2. Programmable Logic Controller (PLC)
      • 8.2.1.3. Product Lifecycle Management (PLM)
      • 8.2.1.4. Manufacturing Execution System (MES)
      • 8.2.1.5. Robotic Process Automation (RPA)
      • 8.2.1.6. Remote Monitoring software
      • 8.2.1.7. Supervisory Controller and Data Acquisition (SCADA)
      • 8.2.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 8.2.2. Services
      • 8.2.2.1. Professional Services
      • 8.2.2.2. Managed Services
  • 8.3. By Deployment (USD)
    • 8.3.1. Cloud
    • 8.3.2. On-Premises
  • 8.4. By Enterprise Size (USD)
    • 8.4.1. Large Enterprises
    • 8.4.2. Small & Medium Enterprises
  • 8.5. By Industry (USD)
    • 8.5.1. Discrete Industry
      • 8.5.1.1. Automotive
      • 8.5.1.2. Transportation
      • 8.5.1.3. Industrial machinery
      • 8.5.1.4. Medical devices
      • 8.5.1.5. Semiconductor and Electronics/High-Tech
      • 8.5.1.6. Others (Aerospace and Defense, etc.)
    • 8.5.2. Process Industry
      • 8.5.2.1. Pharmaceuticals
      • 8.5.2.2. Mining and Metals
      • 8.5.2.3. Chemicals
      • 8.5.2.4. Pulp and Paper
    • 8.5.3. Others (Cable, etc.)
  • 8.6. By Country (USD)
    • 8.6.1. China
      • 8.6.1.1. Solution
        • 8.6.1.1.1. Industrial 3D Printing
        • 8.6.1.1.2. Programmable Logic Controller (PLC)
        • 8.6.1.1.3. Product Lifecycle Management (PLM)
        • 8.6.1.1.4. Manufacturing Execution System (MES)
        • 8.6.1.1.5. Robotic Process Automation (RPA)
        • 8.6.1.1.6. Remote Monitoring software
        • 8.6.1.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 8.6.1.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 8.6.2. India
      • 8.6.2.1. Solution
        • 8.6.2.1.1. Industrial 3D Printing
        • 8.6.2.1.2. Programmable Logic Controller (PLC)
        • 8.6.2.1.3. Product Lifecycle Management (PLM)
        • 8.6.2.1.4. Manufacturing Execution System (MES)
        • 8.6.2.1.5. Robotic Process Automation (RPA)
        • 8.6.2.1.6. Remote Monitoring software
        • 8.6.2.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 8.6.2.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 8.6.3. Japan
      • 8.6.3.1. Solution
        • 8.6.3.1.1. Industrial 3D Printing
        • 8.6.3.1.2. Programmable Logic Controller (PLC)
        • 8.6.3.1.3. Product Lifecycle Management (PLM)
        • 8.6.3.1.4. Manufacturing Execution System (MES)
        • 8.6.3.1.5. Robotic Process Automation (RPA)
        • 8.6.3.1.6. Remote Monitoring software
        • 8.6.3.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 8.6.3.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 8.6.4. Southeast Asia
      • 8.6.4.1. Solution
        • 8.6.4.1.1. Industrial 3D Printing
        • 8.6.4.1.2. Programmable Logic Controller (PLC)
        • 8.6.4.1.3. Product Lifecycle Management (PLM)
        • 8.6.4.1.4. Manufacturing Execution System (MES)
        • 8.6.4.1.5. Robotic Process Automation (RPA)
        • 8.6.4.1.6. Remote Monitoring software
        • 8.6.4.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 8.6.4.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 8.6.5. Rest of Asia Pacific

9. Middle East & Africa Smart Manufacturing Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 9.1. Key Findings
  • 9.2. By Component (USD)
    • 9.2.1. Solution
      • 9.2.1.1. Industrial 3D Printing
      • 9.2.1.2. Programmable Logic Controller (PLC)
      • 9.2.1.3. Product Lifecycle Management (PLM)
      • 9.2.1.4. Manufacturing Execution System (MES)
      • 9.2.1.5. Robotic Process Automation (RPA)
      • 9.2.1.6. Remote Monitoring software
      • 9.2.1.7. Supervisory Controller and Data Acquisition (SCADA)
      • 9.2.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 9.2.2. Services
      • 9.2.2.1. Professional Services
      • 9.2.2.2. Managed Services
  • 9.3. By Deployment (USD)
    • 9.3.1. Cloud
    • 9.3.2. On-Premises
  • 9.4. By Enterprise Size (USD)
    • 9.4.1. Large Enterprises
    • 9.4.2. Small & Medium Enterprises
  • 9.5. By Industry (USD)
    • 9.5.1. Discrete Industry
      • 9.5.1.1. Automotive
      • 9.5.1.2. Transportation
      • 9.5.1.3. Industrial machinery
      • 9.5.1.4. Medical devices
      • 9.5.1.5. Semiconductor and Electronics/High-Tech
      • 9.5.1.6. Others (Aerospace and Defense, etc.)
    • 9.5.2. Process Industry
      • 9.5.2.1. Pharmaceuticals
      • 9.5.2.2. Mining and Metals
      • 9.5.2.3. Chemicals
      • 9.5.2.4. Pulp and Paper
    • 9.5.3. Others (Cable, etc.)
  • 9.6. By Country (USD)
    • 9.6.1. GCC
      • 9.6.1.1. Solution
        • 9.6.1.1.1. Industrial 3D Printing
        • 9.6.1.1.2. Programmable Logic Controller (PLC)
        • 9.6.1.1.3. Product Lifecycle Management (PLM)
        • 9.6.1.1.4. Manufacturing Execution System (MES)
        • 9.6.1.1.5. Robotic Process Automation (RPA)
        • 9.6.1.1.6. Remote Monitoring software
        • 9.6.1.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 9.6.1.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 9.6.2. South Africa
      • 9.6.2.1. Solution
        • 9.6.2.1.1. Industrial 3D Printing
        • 9.6.2.1.2. Programmable Logic Controller (PLC)
        • 9.6.2.1.3. Product Lifecycle Management (PLM)
        • 9.6.2.1.4. Manufacturing Execution System (MES)
        • 9.6.2.1.5. Robotic Process Automation (RPA)
        • 9.6.2.1.6. Remote Monitoring software
        • 9.6.2.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 9.6.2.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 9.6.3. Rest of MEA

10. Latin America Smart Manufacturing Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 10.1. Key Findings
  • 10.2. By Component (USD)
    • 10.2.1. Solution
      • 10.2.1.1. Industrial 3D Printing
      • 10.2.1.2. Programmable Logic Controller (PLC)
      • 10.2.1.3. Product Lifecycle Management (PLM)
      • 10.2.1.4. Manufacturing Execution System (MES)
      • 10.2.1.5. Robotic Process Automation (RPA)
      • 10.2.1.6. Remote Monitoring software
      • 10.2.1.7. Supervisory Controller and Data Acquisition (SCADA)
      • 10.2.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 10.2.2. Services
      • 10.2.2.1. Professional Services
      • 10.2.2.2. Managed Services
  • 10.3. By Deployment (USD)
    • 10.3.1. Cloud
    • 10.3.2. On-Premises
  • 10.4. By Enterprise Size (USD)
    • 10.4.1. Large Enterprises
    • 10.4.2. Small & Medium Enterprises
  • 10.5. By Industry (USD)
    • 10.5.1. Discrete Industry
      • 10.5.1.1. Automotive
      • 10.5.1.2. Transportation
      • 10.5.1.3. Industrial machinery
      • 10.5.1.4. Medical devices
      • 10.5.1.5. Semiconductor and Electronics/High-Tech
      • 10.5.1.6. Others (Aerospace and Defense, etc.)
    • 10.5.2. Process Industry
      • 10.5.2.1. Pharmaceuticals
      • 10.5.2.2. Mining and Metals
      • 10.5.2.3. Chemicals
      • 10.5.2.4. Pulp and Paper
    • 10.5.3. Others (Cable, etc.)
  • 10.6. By Country (USD)
    • 10.6.1. Brazil
      • 10.6.1.1. Solution
        • 10.6.1.1.1. Industrial 3D Printing
        • 10.6.1.1.2. Programmable Logic Controller (PLC)
        • 10.6.1.1.3. Product Lifecycle Management (PLM)
        • 10.6.1.1.4. Manufacturing Execution System (MES)
        • 10.6.1.1.5. Robotic Process Automation (RPA)
        • 10.6.1.1.6. Remote Monitoring software
        • 10.6.1.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 10.6.1.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 10.6.2. Mexico
      • 10.6.2.1. Solution
        • 10.6.2.1.1. Industrial 3D Printing
        • 10.6.2.1.2. Programmable Logic Controller (PLC)
        • 10.6.2.1.3. Product Lifecycle Management (PLM)
        • 10.6.2.1.4. Manufacturing Execution System (MES)
        • 10.6.2.1.5. Robotic Process Automation (RPA)
        • 10.6.2.1.6. Remote Monitoring software
        • 10.6.2.1.7. Supervisory Controller and Data Acquisition (SCADA)
        • 10.6.2.1.8. Others (Energy Management Systems, Fleet Management Solutions, etc.)
    • 10.6.3. Rest of Latin America

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

  • 11.1. HP Development Company, L.P.
    • 11.1.1. Overview
      • 11.1.1.1. Key Management
      • 11.1.1.2. Headquarters
      • 11.1.1.3. Offerings/Business Segments
    • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.1.2.1. Employee Size
      • 11.1.2.2. Past and Current Revenue
      • 11.1.2.3. Geographical Share
      • 11.1.2.4. Business Segment Share
      • 11.1.2.5. Recent Developments
  • 11.2. ABB
    • 11.2.1. Overview
      • 11.2.1.1. Key Management
      • 11.2.1.2. Headquarters
      • 11.2.1.3. Offerings/Business Segments
    • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.2.2.1. Employee Size
      • 11.2.2.2. Past and Current Revenue
      • 11.2.2.3. Geographical Share
      • 11.2.2.4. Business Segment Share
      • 11.2.2.5. Recent Developments
  • 11.3. Emerson Electric Co.
    • 11.3.1. Overview
      • 11.3.1.1. Key Management
      • 11.3.1.2. Headquarters
      • 11.3.1.3. Offerings/Business Segments
    • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.3.2.1. Employee Size
      • 11.3.2.2. Past and Current Revenue
      • 11.3.2.3. Geographical Share
      • 11.3.2.4. Business Segment Share
      • 11.3.2.5. Recent Developments
  • 11.4. General Electric
    • 11.4.1. Overview
      • 11.4.1.1. Key Management
      • 11.4.1.2. Headquarters
      • 11.4.1.3. Offerings/Business Segments
    • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.4.2.1. Employee Size
      • 11.4.2.2. Past and Current Revenue
      • 11.4.2.3. Geographical Share
      • 11.4.2.4. Business Segment Share
      • 11.4.2.5. Recent Developments
  • 11.5. Honeywell International, Inc.
    • 11.5.1. Overview
      • 11.5.1.1. Key Management
      • 11.5.1.2. Headquarters
      • 11.5.1.3. Offerings/Business Segments
    • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.5.2.1. Employee Size
      • 11.5.2.2. Past and Current Revenue
      • 11.5.2.3. Geographical Share
      • 11.5.2.4. Business Segment Share
      • 11.5.2.5. Recent Developments
  • 11.6. Mitsubishi Electric Corporation
    • 11.6.1. Overview
      • 11.6.1.1. Key Management
      • 11.6.1.2. Headquarters
      • 11.6.1.3. Offerings/Business Segments
    • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.6.2.1. Employee Size
      • 11.6.2.2. Past and Current Revenue
      • 11.6.2.3. Geographical Share
      • 11.6.2.4. Business Segment Share
      • 11.6.2.5. Recent Developments
  • 11.7. Robert Bosch GmbH
    • 11.7.1. Overview
      • 11.7.1.1. Key Management
      • 11.7.1.2. Headquarters
      • 11.7.1.3. Offerings/Business Segments
    • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.7.2.1. Employee Size
      • 11.7.2.2. Past and Current Revenue
      • 11.7.2.3. Geographical Share
      • 11.7.2.4. Business Segment Share
      • 11.7.2.5. Recent Developments
  • 11.8. Rockwell Automation, Inc.
    • 11.8.1. Overview
      • 11.8.1.1. Key Management
      • 11.8.1.2. Headquarters
      • 11.8.1.3. Offerings/Business Segments
    • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.8.2.1. Employee Size
      • 11.8.2.2. Past and Current Revenue
      • 11.8.2.3. Geographical Share
      • 11.8.2.4. Business Segment Share
      • 11.8.2.5. Recent Developments
  • 11.9. Schneider Electric
    • 11.9.1. Overview
      • 11.9.1.1. Key Management
      • 11.9.1.2. Headquarters
      • 11.9.1.3. Offerings/Business Segments
    • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.9.2.1. Employee Size
      • 11.9.2.2. Past and Current Revenue
      • 11.9.2.3. Geographical Share
      • 11.9.2.4. Business Segment Share
      • 11.9.2.5. Recent Developments
  • 11.10. Siemens AG
    • 11.10.1. Overview
      • 11.10.1.1. Key Management
      • 11.10.1.2. Headquarters
      • 11.10.1.3. Offerings/Business Segments
    • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.10.2.1. Employee Size
      • 11.10.2.2. Past and Current Revenue
      • 11.10.2.3. Geographical Share
      • 11.10.2.4. Business Segment Share
      • 11.10.2.5. Recent Developments
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