Picture
SEARCH
What are you looking for?
Need help finding what you are looking for? Contact Us
Compare

PUBLISHER: TechSci Research | PRODUCT CODE: 1949622

Cover Image

PUBLISHER: TechSci Research | PRODUCT CODE: 1949622

Smart Machines Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Machine, By Technology, By Verticals, By Region & Competition, 2021-2031F

PUBLISHED:
PAGES: 180 Pages
DELIVERY TIME: 2-3 business days
SELECT AN OPTION
Unprintable PDF (Single User License)
USD 4500
PDF and Excel (Multi-User License)
USD 5500
PDF and Excel (Custom Research License)
USD 8000

Add to Cart

We offer 8 hour analyst time for an additional research. Please contact us for the details.

The Global Smart Machines Market is projected to experience substantial growth, rising from USD 95.61 Billion in 2025 to USD 284.92 Billion by 2031 at a CAGR of 19.96%. These intelligent systems leverage artificial intelligence and machine learning to execute complex tasks autonomously, adapting to dynamic environments without the need for human intervention. The market is primarily driven by fundamental shifts in production requirements, including the urgent need for operational efficiency, prevalent labor shortages, and increasing demand for high precision in industrial processes. According to the International Federation of Robotics, the global operational stock of industrial robots reached 4.66 million units in 2024, marking a 9% increase year-over-year.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 95.61 Billion
Market Size 2031USD 284.92 Billion
CAGR 2026-203119.96%
Fastest Growing SegmentSoftware
Largest MarketAsia Pacific

Despite this strong trajectory, market expansion faces significant hurdles due to the high capital investment required for deployment and the technical complexity of integrating these systems with legacy infrastructure. These barriers are particularly discouraging for small and medium-sized enterprises, limiting the market's broader reach. Consequently, companies are often forced to weigh the benefits of long-term productivity against substantial upfront costs and the necessity of acquiring specialized technical expertise to manage the transition.

Market Driver

The accelerated adoption of Industrial Automation and Industry 4.0 is reshaping the global manufacturing landscape by shifting operations from static production lines to flexible, autonomous systems. This transformation relies on the integration of cyber-physical systems that enable machinery to communicate and coordinate independently, reducing manual intervention and enhancing operational continuity. Recent procurement data underscores this trend; the Association for Advancing Automation reported in its '3Q 2025 Deluxe Press Release' that North American companies ordered 26,441 robots valued at $1.7 billion in the first nine months of 2025, signaling a strategic pivot toward automation to maintain competitiveness.

Simultaneously, advancements in Artificial Intelligence and Cognitive Computing serve as critical differentiators that elevate traditional hardware into intelligent, adaptive smart machines. Unlike legacy systems, AI-enabled units employ machine learning algorithms to predict mechanical failures and optimize workflows in real-time, fulfilling urgent needs for predictive maintenance and decision-making capabilities. This commitment is widespread, with Rockwell Automation's '10th Annual State of Smart Manufacturing Report' from June 2025 indicating that 95% of manufacturers have invested or plan to invest in AI technologies within five years, while Siemens reported a record €11.8 billion in Profit Industrial Business in 2025.

Market Challenge

A primary obstacle to the expansion of the Global Smart Machines Market is the significant capital investment required for deployment, coupled with the complexity of integrating intelligent systems into legacy infrastructures. These financial and technical barriers are particularly prohibitive for small and medium-sized enterprises, which often lack the necessary upfront funds and specialized engineering resources. As a result, organizations frequently prioritize short-term liquidity over long-term productivity gains, delaying automation initiatives and creating a bottleneck that prevents the market from reaching its full potential across broader industrial sectors.

This constraint is supported by recent industrial data showing a downturn in capital equipment acquisition. According to the Association for Advancing Automation, North American robot orders declined by 7.9% in units and 6.8% in revenue during the first half of 2024 compared to the previous year, as companies postponed investments due to rising costs and economic caution. This statistical evidence highlights how financial burdens effectively impede market growth, stalling the widespread integration of autonomous technologies despite their operational advantages.

Market Trends

The integration of Generative AI for adaptive machine control is transforming the market by empowering systems to autonomously generate control logic and adjust to variable inputs through natural language processing. This advancement surpasses legacy predictive maintenance by enabling machines to self-optimize code and workflows without extensive manual reprogramming, directly addressing integration complexities. Highlighting this progress, Siemens revealed in a May 2024 press release regarding 'Automate 2024' that it has identified 300 generative AI use cases across the manufacturing value chain, with over 70 already moving toward proof-of-value implementation.

Concurrently, the proliferation of collaborative robots (cobots) in industrial workspaces marks a shift from static, high-speed production lines to flexible, human-centric operations capable of handling high-mix tasks safely. These units utilize advanced sensor arrays to eliminate the need for physical caging, thereby reducing the footprint and capital costs that traditionally hinder automation adoption in smaller facilities. Validating the resilience of this segment, the International Federation of Robotics reported in 'World Robotics 2024' that global installations of collaborative robots reached 57,040 units in 2023, maintaining a 10.5% market share despite a downturn in the broader industrial robotics sector.

Key Market Players

  • Siemens AG
  • ABB Ltd.
  • General Electric Group
  • Bosch Rexroth AG
  • Mitsubishi Electric Group
  • Rockwell Automation Inc.
  • Honeywell International, Inc.
  • Schneider Electric SE
  • Emerson Electric Co.
  • KUKA AG

Report Scope

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

Smart Machines Market, By Component

  • Hardware
  • Software
  • Services

Smart Machines Market, By Machine

  • Robots
  • Autonomous Cars
  • Drones
  • Wearable Devices
  • Others

Smart Machines Market, By Technology

  • Cloud Computing Technology
  • Big Data Technology
  • Internet of Everything
  • Robotics
  • Cognitive Technology
  • Affective Technology

Smart Machines Market, By Verticals

  • Manufacturing
  • Transportation & Logistics
  • Healthcare
  • Consumer Goods and Retail
  • Aerospace & Defense
  • Others

Smart Machines 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

Competitive Landscape

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

Available Customizations:

Global Smart Machines Market report with the given market data, TechSci 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).
Product Code: 22180

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. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Smart Machines Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Hardware, Software, Services)
    • 5.2.2. By Machine (Robots, Autonomous Cars, Drones, Wearable Devices, Others)
    • 5.2.3. By Technology (Cloud Computing Technology, Big Data Technology, Internet of Everything, Robotics, Cognitive Technology, Affective Technology)
    • 5.2.4. By Verticals (Manufacturing, Transportation & Logistics, Healthcare, Consumer Goods and Retail, Aerospace & Defense, Others)
    • 5.2.5. By Region
    • 5.2.6. By Company (2025)
  • 5.3. Market Map

6. North America Smart Machines Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Machine
    • 6.2.3. By Technology
    • 6.2.4. By Verticals
    • 6.2.5. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Smart Machines Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Component
        • 6.3.1.2.2. By Machine
        • 6.3.1.2.3. By Technology
        • 6.3.1.2.4. By Verticals
    • 6.3.2. Canada Smart Machines Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Component
        • 6.3.2.2.2. By Machine
        • 6.3.2.2.3. By Technology
        • 6.3.2.2.4. By Verticals
    • 6.3.3. Mexico Smart Machines Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Component
        • 6.3.3.2.2. By Machine
        • 6.3.3.2.3. By Technology
        • 6.3.3.2.4. By Verticals

7. Europe Smart Machines 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 Machine
    • 7.2.3. By Technology
    • 7.2.4. By Verticals
    • 7.2.5. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Smart Machines 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 Machine
        • 7.3.1.2.3. By Technology
        • 7.3.1.2.4. By Verticals
    • 7.3.2. France Smart Machines 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 Machine
        • 7.3.2.2.3. By Technology
        • 7.3.2.2.4. By Verticals
    • 7.3.3. United Kingdom Smart Machines 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 Machine
        • 7.3.3.2.3. By Technology
        • 7.3.3.2.4. By Verticals
    • 7.3.4. Italy Smart Machines Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Component
        • 7.3.4.2.2. By Machine
        • 7.3.4.2.3. By Technology
        • 7.3.4.2.4. By Verticals
    • 7.3.5. Spain Smart Machines Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Component
        • 7.3.5.2.2. By Machine
        • 7.3.5.2.3. By Technology
        • 7.3.5.2.4. By Verticals

8. Asia Pacific Smart Machines 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 Machine
    • 8.2.3. By Technology
    • 8.2.4. By Verticals
    • 8.2.5. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Smart Machines 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 Machine
        • 8.3.1.2.3. By Technology
        • 8.3.1.2.4. By Verticals
    • 8.3.2. India Smart Machines 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 Machine
        • 8.3.2.2.3. By Technology
        • 8.3.2.2.4. By Verticals
    • 8.3.3. Japan Smart Machines 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 Machine
        • 8.3.3.2.3. By Technology
        • 8.3.3.2.4. By Verticals
    • 8.3.4. South Korea Smart Machines 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 Machine
        • 8.3.4.2.3. By Technology
        • 8.3.4.2.4. By Verticals
    • 8.3.5. Australia Smart Machines 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 Machine
        • 8.3.5.2.3. By Technology
        • 8.3.5.2.4. By Verticals

9. Middle East & Africa Smart Machines 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 Machine
    • 9.2.3. By Technology
    • 9.2.4. By Verticals
    • 9.2.5. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Smart Machines 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 Machine
        • 9.3.1.2.3. By Technology
        • 9.3.1.2.4. By Verticals
    • 9.3.2. UAE Smart Machines 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 Machine
        • 9.3.2.2.3. By Technology
        • 9.3.2.2.4. By Verticals
    • 9.3.3. South Africa Smart Machines 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 Machine
        • 9.3.3.2.3. By Technology
        • 9.3.3.2.4. By Verticals

10. South America Smart Machines 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 Machine
    • 10.2.3. By Technology
    • 10.2.4. By Verticals
    • 10.2.5. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Smart Machines 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 Machine
        • 10.3.1.2.3. By Technology
        • 10.3.1.2.4. By Verticals
    • 10.3.2. Colombia Smart Machines 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 Machine
        • 10.3.2.2.3. By Technology
        • 10.3.2.2.4. By Verticals
    • 10.3.3. Argentina Smart Machines 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 Machine
        • 10.3.3.2.3. By Technology
        • 10.3.3.2.4. By Verticals

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Smart Machines Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Siemens AG
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. ABB Ltd.
  • 15.3. General Electric Group
  • 15.4. Bosch Rexroth AG
  • 15.5. Mitsubishi Electric Group
  • 15.6. Rockwell Automation Inc.
  • 15.7. Honeywell International, Inc.
  • 15.8. Schneider Electric SE
  • 15.9. Emerson Electric Co.
  • 15.10. KUKA AG

16. Strategic Recommendations

17. About Us & Disclaimer

Have a question?
Picture

Jeroen Van Heghe

Manager - EMEA

+32-2-535-7543

Picture

Christine Sirois

Manager - Americas

+1-860-674-8796

Questions? Please give us a call or visit the contact form.
Hi, how can we help?
Contact us!