Summary

The global smart manufacturing market was valued at USD 233.33 billion in 2024 and is projected to reach USD 479.17 billion by 2029; it is expected to register a CAGR of 15.5% during the forecast period. Increasing government expenditure on 3D printing technologies is driving the growth of the smart manufacturing market. Whereas high initial capital investment is restraining the growth of the smart manufacturing market.

“Industrial Robotics segment is expected to grow at the second highest CAGR during the forecast period.”
The industrial robotics segment is expected to exhibit the second highest CAGR during the forecast period. The development of industrial robotics has taken off remarkably due to the notable improvements in productivity, quality, cost, safety and others that have been observed. The introduction of robots to perform simple and repetitive functions allows for a 24 hour service with minimal chances of human errors. Development of technology such as artificial intelligence (AI) and collaborative robots has also stimulated the use of robotics in areas such as manufacturing, warehousing, logistics and so on.

"Oil & Gas segment is likely to hold the second largest market in 2024.”
Oil & Gas segment to is expected to hold the second largest share in smart manufacturing market in 2024. The chief reason the oil and gas industry takes the lead in the smart manufacturing market is primarily due to challenges and necessities, this sector specifically needs. Due to the specific emphasis on safety, efficiency, remote locations, data-driven decisions, and strict regulations followed in this sector has lead it to hold the second largest market share. Predictive maintenance, automation, and robots are some of the critical smart technologies that help the industry lower costs, improve safety, and increase efficiency.

“The North America segment is likely to grow at the second highest CAGR during the forecast period.”
The market in North America is expected to gow the second highest CAGR during the forecast period. The good business ecosystem in the US - with reformative initiatives in tax codes, significant package announcements for manufacturing and infrastructure companies, and availability of major technology providers - augur well for smart manufacturing technology adoption in the region.. In addition, the intense focus on optimum asset utilization, the enforcement of stringent government regulations for workplace and personal safety, and the high awareness of the need to control and assure output quality in oil & gas, chemicals, and food & beverages industries drive the demand for machine condition monitoring systems and plant asset management (PAM) solutions in the region.

Breakdown of primaries
The study contains insights from various industry experts, ranging from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:

• By Company Type - Tier 1 – 40%, Tier 2 – 35%, Tier 3 – 25%
• By Designation— C-level Executives - 45%, Directors - 35%, Others - 20%
• By Region—North America - 30%, Europe - 25%, Asia Pacific - 40%, RoW - 5%

The smart manufacturing market is dominated by a few globally established players such as 3D System, Inc. (US), ABB (Switzerland), Cisco System, Inc. (US), Emerson Electric Co. (US), General Electric (US), Honeywell International Inc. (US), IBM (US), Mitsubishi Electric Corporation (Japan), Rockwell Automation (US), Schneider Electric (France), Siemens (Germany), Oracle (US), SAP (Germany), Stratasys (US), Yokogawa Electric Corporation(Japan). The study includes an in-depth competitive analysis of these key players in the smart manufacturing market, with their company profiles, recent developments, and key market strategies.

Research Coverage:
The report segments the smart manufacturing market and forecasts its size by technology, industry, and region. The report also discusses the drivers, restraints, opportunities, and challenges pertaining to the market. It gives a detailed view of the market across four main regions—North America, Europe, Asia Pacific, and RoW. Supply chain analysis has been included in the report, along with the key players and their competitive analysis in the smart manufacturing ecosystem.

Key Benefits to Buy the Report:
• Analysis of key drivers (emphasis on boosting manufacturing efficiency through automated production, rising government expenditure on 3D printing technologies and rising demand for innovative technologies to minimize manufacturing downtime and production waste). Restraint (Requirement of high initial capital; investment and lack of standardization of industrial services), Opportunity (Accelerated developments in IIoT and cloud computing, growing investment in infrastructure development), Challenges (Security issues in smart manufacturing and complexities in integration of new technology equipment with existing ones).
• Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product launches in the smart manufacturing market.
• Market Development: Comprehensive information about lucrative markets – the report analyses the smart manufacturing market across varied regions
• Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the smart manufacturing market.
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players 3D System, Inc. (US), ABB (Switzerland), Cisco System, Inc. (US), Emerson Electric Co. (US), General Electric (US), Honeywell International Inc. (US), IBM (US), Mitsubishi Electric Corporation (Japan) among others in the smart manufacturing market.

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Table of Contents

1 INTRODUCTION 33
1.1 STUDY OBJECTIVES 33
1.2 MARKET DEFINITION 34
1.3 STUDY SCOPE 35
1.3.1 MARKETS COVERED AND REGIONAL SCOPE 35
1.3.2 INCLUSIONS AND EXCLUSIONS 36
1.3.3 YEARS CONSIDERED 36
1.4 CURRENCY CONSIDERED 37
1.5 UNITS CONSIDERED 37
1.6 LIMITATIONS 37
1.7 STAKEHOLDERS 37
1.8 SUMMARY OF CHANGES 38
2 RESEARCH METHODOLOGY 39
2.1 INTRODUCTION 39
2.1.1 SECONDARY AND PRIMARY RESEARCH 40
2.1.2 SECONDARY DATA 41
2.1.2.1 List of key secondary sources 41
2.1.2.2 Key data from secondary sources 41
2.1.3 PRIMARY DATA 42
2.1.3.1 List of primary interview participants 42
2.1.3.2 Breakdown of primaries 42
2.1.3.3 Key industry insights 43
2.1.3.4 Key data from primary sources 43
2.2 MARKET SIZE ESTIMATION METHODOLOGY 44
2.2.1 BOTTOM-UP APPROACH 44
2.2.1.1 Approach to arrive at market size using bottom-up analysis
(demand side) 44
2.2.2 TOP-DOWN APPROACH 46
2.2.2.1 Approach to arrive at market size using top-down analysis
(supply side) 46
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 48
2.4 RESEARCH ASSUMPTIONS 49
2.5 RESEARCH LIMITATIONS 49
2.6 RISK ANALYSIS 50
3 EXECUTIVE SUMMARY 51
 
4 PREMIUM INSIGHTS 54
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SMART MANUFACTURING MARKET 54
4.2 SMART MANUFACTURING MARKET, BY TECHNOLOGY 55
4.3 SMART MANUFACTURING MARKET, BY INDUSTRY 56
4.4 SMART MANUFACTURING MARKET, BY COUNTRY 57
4.5 SMART MANUFACTURING MARKET, BY REGION 57
5 MARKET OVERVIEW 58
5.1 INTRODUCTION 58
5.2 MARKET DYNAMICS 58
5.2.1 DRIVERS 59
5.2.1.1 Increasing reliance on automation technologies to improve manufacturing efficiency 59
5.2.1.2 Rising government investment in 3D printing technologies 59
5.2.1.3 Increasing need to maintain regulatory compliance of industrial solutions 60
5.2.1.4 Growing emphasis on minimizing manufacturing downtime and production waste 60
5.2.2 RESTRAINTS 61
5.2.2.1 High initial capital investments 61
5.2.2.2 Lack of standardization of industrial equipment 62
5.2.3 OPPORTUNITIES 63
5.2.3.1 Rapid advances in IIoT and cloud computing technologies 63
5.2.3.2 Increasing adoption of automation technologies in industrial sector 63
5.2.3.3 Growing investment in infrastructure development projects in emerging economies 64
5.2.4 CHALLENGES 65
5.2.4.1 Security issues 65
5.2.4.2 Complexities associated with meeting modern communication standards 65
5.3 VALUE CHAIN ANALYSIS 66
5.4 ECOSYSTEM ANALYSIS 68
5.5 PRICING ANALYSIS 70
5.5.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY ROBOT TYPE 70
5.5.2 AVERAGE SELLING PRICE TREND, BY INDUSTRIAL SENSOR 72
5.5.3 AVERAGE SELLING PRICE TREND, BY ROBOT TYPE 72
5.5.4 AVERAGE SELLING PRICE TREND, BY REGION 75
5.6 INVESTMENT AND FUNDING SCENARIO 76
5.7 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 76
5.8 TECHNOLOGY ANALYSIS 77
5.8.1 KEY TECHNOLOGIES 77
5.8.1.1 Digital twin 77
5.8.1.2 Blockchain 77
5.8.1.3 Augmented reality (AR) & virtual reality (VR) 78
5.8.1.4 Predictive maintenance 78
5.8.1.5 IoT 78
5.8.2 COMPLIMENTARY TECHNOLOGIES 79
5.8.2.1 Smart energy management 79
5.8.2.2 Cybersecurity 79
5.8.3 ADJACENT TECHNOLOGIES 79
5.8.3.1 Edge computing 79
5.9 PATENT ANALYSIS 80
5.10 TRADE ANALYSIS 85
5.10.1 IMPORT SCENARIO (HS CODE 847950) 85
5.10.2 EXPORT SCENARIO (HS CODE 847950) 86
5.11 KEY CONFERENCES AND EVENTS, 2024–2025 87
5.12 CASE STUDY ANALYSIS 88
5.12.1 HTC CORPORATION SUPPORTS FLAIM TRAINER VR SIMULATION TO REDUCE COSTS OF TRAINING FIREFIGHTERS 88
5.12.2 CO2METER ENABLES LONG-RANGE DATA COLLECTION AND LEAK DETECTION OF CO2 WITH ISENSE ALARM (CM-0052) 89
5.12.3 SKF DEPLOYS ONLINE CONDITION MONITORING SYSTEM TO PREVENT CATASTROPHIC BEARING FAILURE 89
5.12.4 ELMWOOD RECLAIMED TIMBER USES SIEMENS’ OPCENTER ADVANCED SCHEDULING SOLUTION TO SYNCHRONIZE MANUFACTURING AND ENHANCE DELIVERY 90
5.12.5 DHL LEVERAGES MANHATTAN ACTIVE WAREHOUSE MANAGEMENT SOLUTION TO ENABLE SCALABLE AND AGILE WAREHOUSE MANAGEMENT 90
5.13 REGULATORY LANDSCAPE 91
5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 91
5.13.2 STANDARDS 93
5.14 PORTER’S FIVE FORCE ANALYSIS 96
5.14.1 THREAT OF NEW ENTRANTS 98
5.14.2 THREAT OF SUBSTITUTES 98
5.14.3 BARGAINING POWER OF SUPPLIERS 98
5.14.4 BARGAINING POWER OF BUYERS 98
5.14.5 INTENSITY OF COMPETITIVE RIVALRY 98
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA 99
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 99
5.15.2 BUYING CRITERIA 100
5.16 IMPACT OF GEN AI/AI ON SMART MANUFACTURING MARKET 101
5.16.1 INTRODUCTION 101
5.16.2 GEN AI/AI-SPECIFIC USE CASES 101
 
6 SMART MANUFACTURING MARKET, BY TECHNOLOGY 103
6.1 INTRODUCTION 104
6.2 AUTOMATION & CONTROL SYSTEMS 106
6.2.1 HUMAN–MACHINE INTERFACE 107
6.2.1.1 Hardware 109
6.2.1.1.1 Basic HMI 109
6.2.1.1.1.1 Increasing use in small-scale machinery and home automation systems to foster segmental growth 109
6.2.1.1.2 Advanced panel-based HMI 110
6.2.1.1.2.1 Shifting preference toward advanced user interface with mobile functionalities to drive market 110
6.2.1.1.3 Advanced PC-based HMI 110
6.2.1.1.3.1 Growing adoption of high-performance devices for data-intensive and complex visualization tasks to fuel segmental growth 110
6.2.1.1.4 Other hardware types 111
6.2.1.2 Software 111
6.2.1.2.1 On-premises 112
6.2.1.2.1.1 Rising focus on enhancing data security and control to accelerate segmental growth 112
6.2.1.2.2 Cloud-based 113
6.2.1.2.2.1 Increasing reliance on software with multi-location access support to boost segmental growth 113
6.2.2 INDUSTRIAL PC 115
6.2.2.1 Panel IPC 116
6.2.2.1.1 Ability to withstand rugged industrial environments to foster segmental growth 116
6.2.2.2 Rack-mount IPC 116
6.2.2.2.1 Adoption in space-constrained applications to contribute to segmental growth 116
6.2.2.3 Embedded IPC 117
6.2.2.3.1 High emphasis on effective management of manufacturing plants to augment segmental growth 117
6.2.2.4 DIN rail IPC 117
6.2.2.4.1 Rise in demand for interconnected factories and enterprise networks to expedite segmental growth 117
6.3 ASSET & MAINTENANCE MANAGEMENT 119
6.3.1 PLANT ASSET MANAGEMENT 121
6.3.1.1 Increasing need for periodic monitoring and predictive analytics of plants to boost segmental growth 121
6.3.1.2 Production assets 121
6.3.1.3 Automation assets 122
6.3.2 MACHINE CONDITION MONITORING 124
6.3.2.1 Rising emphasis on increasing operational life of machinery to fuel segmental growth 124
6.3.2.2 Vibration monitoring 124
6.3.2.3 Thermography 125
6.3.2.4 Oil analysis 126
6.3.2.5 Ultrasound emission monitoring 126
6.3.2.6 Corrosion monitoring 127
6.3.2.7 Motor current analysis 128
6.3.3 COMPUTERIZED MAINTENANCE MANAGEMENT SYSTEMS 130
6.3.3.1 Growing automation of routine maintenance tasks to contribute to segmental growth 130
6.3.4 ASSET PERFORMANCE MANAGEMENT 132
6.3.4.1 Increasing need for proactive maintenance and plant condition monitoring to augment segmental growth 132
6.3.4.2 Solutions 132
6.3.4.2.1 Asset strategy management 133
6.3.4.2.2 Asset reliability management 133
6.3.4.2.3 Predictive asset management 134
6.3.4.2.4 Other solutions 135
6.3.4.3 Services 135
6.3.4.3.1 Professional 135
6.3.4.3.2 Managed 136
6.4 MANUFACTURING OPERATION SYSTEMS 138
6.4.1 MANUFACTURING EXECUTION SYSTEMS 140
6.4.1.1 Increasing use to improve business processes and profitability to foster segmental growth 140
6.4.1.2 Software 140
6.4.1.3 Services 141
6.4.1.3.1 Implementation 141
6.4.1.3.2 Software upgrade 141
6.4.1.3.3 Training 141
6.4.1.3.4 Maintenance 141
6.4.2 WAREHOUSE MANAGEMENT SYSTEMS 143
6.4.2.1 Rising adoption to handle physical inventories and cycle counting to bolster segmental growth 143
6.4.2.2 Software 143
6.4.2.3 Services 144
6.4.3 MANUFACTURING OPERATION MANAGEMENT 146
6.4.3.1 Growing emphasis on achieving operational excellence through oversight to augment segmental growth 146
6.4.4 ENTERPRISE RESOURCE PLANNING 148
6.4.4.1 Increasing use to automate workflow and inventory management to expedite segmental growth 148
6.4.5 QUALITY MANAGEMENT SYSTEMS 151
6.4.5.1 Growing emphasis on meeting customer and regulatory standards to accelerate segmental growth 151
 
6.5 INDUSTRIAL NETWORKING & CONNECTIVITY 153
6.5.1 PRIVATE 5G 155
6.5.1.1 Growing demand for seamless wireless communication to contribute to segmental growth 155
6.5.1.2 Hardware 155
6.5.1.3 Software 155
6.5.1.4 Services 155
6.5.2 EDGE COMPUTING 157
6.5.2.1 Rising number of smartphone users to augment segmental growth 157
6.5.2.2 Hardware 157
6.5.2.3 Software 158
6.5.3 CLOUD COMPUTING 160
6.5.3.1 Increasing need to satisfy customer expectations of secure services to foster segmental growth 160
6.5.3.2 IaaS 160
6.5.3.3 PaaS 160
6.5.3.4 SaaS 161
6.5.4 INDUSTRIAL COMMUNICATION 163
6.5.4.1 Growing need for reliable and secure networks to improve operational efficiency to fuel segmental growth 163
6.5.4.2 Components 164
6.5.4.3 Software 164
6.5.4.4 Services 164
6.6 INDUSTRIAL ROBOTICS 166
6.6.1 INDUSTRIAL 3D PRINTING 168
6.6.1.1 Increasing focus on creating well-designed, lightweight, and less expensive components to expedite segmental growth 168
6.6.1.2 Printers 168
6.6.1.3 Materials 169
6.6.1.4 Software 169
6.6.1.5 Services 169
6.6.2 INDUSTRIAL ROBOTS 171
6.6.2.1 Traditional robots 172
6.6.2.1.1 Increasing adoption in high-volume production to fuel segmental growth 172
6.6.2.2 Collaborative robots 174
6.6.2.2.1 Ease of use and low-cost deployment to drive market 174
6.6.3 AUTOMATED GUIDED VEHICLES 177
6.6.3.1 Ease of operation and low operational costs to augment segmental growth 177
6.6.3.2 Tow vehicles 177
6.6.3.3 Unit load carriers 178
6.6.3.4 Pallet trucks 178
6.6.3.5 Assembly line vehicles 179
6.6.3.6 Forklift trucks 179
6.6.3.7 Other automated guided vehicles 180
6.6.4 AUTOMATED MOBILE ROBOTS 182
6.6.4.1 Rapid advances in battery technology to contribute to segmental growth 182
6.6.4.2 Hardware 182
6.6.4.3 Software & services 182
6.7 SENSORS & VISION SYSTEMS 184
6.7.1 INDUSTRIAL SENSORS 186
6.7.1.1 Contact sensors 186
6.7.1.1.1 Low costs and high accuracy to bolster segmental growth 186
6.7.1.2 Non-contact sensors 187
6.7.1.2.1 Adoption to detect thermal radiation to contribute to segmental growth 187
6.7.2 INDUSTRIAL MACHINE VISION 189
6.7.2.1 Hardware 190
6.7.2.1.1 Easy configuration and maintenance to accelerate segmental growth 190
6.7.2.1.2 Cameras 190
6.7.2.1.3 Frame grabbers 190
6.7.2.1.4 Optics 190
6.7.2.1.5 LED lighting 190
6.7.2.1.6 Processors 191
6.7.2.2 Software 191
6.7.2.2.1 Adoption of smart cameras to maximize productivity of vision systems to foster segmental growth 191
6.7.2.2.2 Traditional 191
6.7.2.2.3 Deep learning 191
6.8 DIGITAL TRANSFORMATION SYSTEMS 193
6.8.1 AI IN MANUFACTURING 195
6.8.1.1 Hardware 196
6.8.1.1.1 Increasing need for high-computing processors to run AI algorithms to fuel segmental growth 196
6.8.1.1.2 Processors 196
6.8.1.1.3 Memory devices 197
6.8.1.1.4 Network devices 197
6.8.1.2 Software 198
6.8.1.2.1 Rising emphasis on predictive maintenance and manufacturing quality control to boost segmental growth 198
6.8.1.2.2 AI platforms 198
6.8.1.2.3 AI solutions 199
6.8.1.3 Services 199
6.8.1.3.1 Increasing deployment of advanced technologies in industrial sectors to expedite segmental growth 199
6.8.1.3.2 Deployment & integration 199
6.8.1.3.3 Support & maintenance 199
6.8.2 INDUSTRIAL CYBERSECURITY 201
6.8.2.1 Growing adoption of connected devices and IT systems to boost segmental growth 201
6.8.2.2 Gateways 201
6.8.2.3 Networking devices 202
6.8.2.3.1 Routers 202
6.8.2.3.2 Industrial ethernet switches 202
6.8.2.4 Solutions & services 203
6.8.3 DIGITAL TWIN 204
6.8.3.1 Increasing deployment to provide valuable insights and drive operational improvements to fuel segmental growth 204
6.8.4 AR & VR IN MANUFACTURING 206
6.8.4.1 Rising integration of digital information and virtual objects with real-world environments to foster segmental growth 206
6.8.4.2 Hardware 206
6.8.4.3 Software 207
6.9 DESIGN & PLANNING SYSTEMS 209
6.9.1 COMPUTER-AIDED DESIGN 210
6.9.1.1 Growing focus on precise and efficient methods for creating detailed designs to expedite segmental growth 210
6.9.2 COMPUTER-AIDED MANUFACTURING 213
6.9.2.1 Rising emphasis on automating and streamlining manufacturing processes to accelerate segmental growth 213
6.9.3 PRODUCT LIFECYCLE MANAGEMENT 215
6.9.3.1 Increasing need to eliminate data silos and reduce inconsistencies in product development processes to drive market 215
7 SMART MANUFACTURING MARKET, BY INDUSTRY 218
7.1 INTRODUCTION 219
7.1.1 OIL & GAS 221
7.1.1.1 Rising integration of advanced automation systems to enhance operational efficiency to boost segmental growth 221
7.1.2 FOOD & BEVERAGES 222
7.1.2.1 Increasing focus on complying with safety standards to contribute to segmental growth 222
7.1.3 PHARMACEUTICALS 223
7.1.3.1 Rapid digitalization of manufacturing plants to enhance operational efficiency to fuel segmental growth 223
7.1.4 CHEMICALS 223
7.1.4.1 Increasing reliance on automated solutions to maintain ideal inventory levels to contribute to segmental growth 223
7.1.5 ENERGY & POWER 224
7.1.5.1 Rapid industrialization and infrastructure development to augment segmental growth 224
7.1.6 METALS & MINING 224
7.1.6.1 Rising implementation of stringent rules to ensure safety using advanced technologies to fuel segmental growth 224
7.1.7 PULP & PAPER 225
7.1.7.1 Burgeoning demand for wood-based products to contribute to segmental growth 225
7.1.8 AUTOMOTIVE 226
7.1.8.1 Rising emphasis on increasing production speed and efficiency to accelerate segmental growth 226
7.1.9 AEROSPACE 226
7.1.9.1 Increasing adoption of critical machine condition monitoring techniques to fuel segmental growth 226
7.1.10 SEMICONDUCTOR & ELECTRONICS 227
7.1.10.1 Growing focus on reducing waste, inventory, and supply chain costs to boost segmental growth 227
7.1.11 MEDICAL DEVICES 228
7.1.11.1 Rising aging population and health risks to expedite segmental growth 228
7.1.12 HEAVY MACHINERY 228
7.1.12.1 Increasing reliance on AI technology to reduce downtime to accelerate segmental growth. 228
7.1.13 OTHER INDUSTRIES 229
8 SMART MANUFACTURING MARKET, BY REGION 231
8.1 INTRODUCTION 232
8.2 NORTH AMERICA 234
8.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA 234
8.2.2 US 238
8.2.2.1 Rising need to boost operational efficiency and optimize resource utilization to foster market growth 238
8.2.3 CANADA 238
8.2.3.1 Increasing investment to improve automotive manufacturing to accelerate market growth 238
8.2.4 MEXICO 240
8.2.4.1 Escalating adoption of IoT, AI, and other automation technologies to contribute to market growth 240
8.3 EUROPE 240
8.3.1 MACROECONOMIC OUTLOOK FOR EUROPE 240
8.3.2 UK 244
8.3.2.1 Increasing adoption of digital technologies to transform business operations to accelerate market growth 244
8.3.3 GERMANY 244
8.3.3.1 Rising implementation of cloud-based solutions in manufacturing facilities to drive market 244
 
8.3.4 FRANCE 245
8.3.4.1 Increasing allocation of funds to promote digital revolution to contribute to market growth 245
8.3.5 REST OF EUROPE 245
8.4 ASIA PACIFIC 246
8.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC 247
8.4.2 CHINA 251
8.4.2.1 Rising government focus on R&D of IoT-based solutions to fuel market growth 251
8.4.3 JAPAN 252
8.4.3.1 Increasing trend of industrial automation to expedite market growth 252
8.4.4 INDIA 252
8.4.4.1 Rising deployment of industrial automation technologies to augment market growth 252
8.4.5 REST OF ASIA PACIFIC 253
8.5 ROW 254
8.5.1 MACROECONOMIC OUTLOOK FOR ROW 254
8.5.2 SOUTH AMERICA 257
8.5.2.1 Brazil 257
8.5.2.1.1 Rising emphasis on modernizing industrial sector to boost market growth 257
8.5.2.2 Rest of South America 258
8.5.3 MIDDLE EAST & AFRICA 259
8.5.3.1 Rapid digitalization and technology integration to foster market growth 259
8.5.3.2 GCC 260
8.5.3.3 Africa & Rest of Middle East 260
9 COMPETITIVE LANDSCAPE 261
9.1 OVERVIEW 261
9.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2023–2024 261
9.3 MARKET SHARE ANALYSIS OF INDUSTRIAL ROBOTS, 2023 264
9.4 REVENUE ANALYSIS, 2019–2023 267
9.5 MARKET SHARE ANALYSIS OF INDUSTRIAL SENSORS, 2023 268
9.6 COMPANY VALUATION AND FINANCIAL METRICS 269
9.7 BRAND/PRODUCT COMPARISON 270
9.8 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 270
9.8.1 STARS 270
9.8.2 EMERGING LEADERS 271
9.8.3 PERVASIVE PLAYERS 271
9.8.4 PARTICIPANTS 271
 
9.8.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 273
9.8.5.1 Company footprint 273
9.8.5.2 Payload footprint 274
9.8.5.3 Robot type footprint 275
9.8.5.4 End-use industry footprint 276
9.8.5.5 Region footprint 277
9.9 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 278
9.9.1 PROGRESSIVE COMPANIES 278
9.9.2 RESPONSIVE COMPANIES 278
9.9.3 DYNAMIC COMPANIES 278
9.9.4 STARTING BLOCKS 278
9.9.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023 280
9.9.5.1 Detailed list of key startups/SMEs 280
9.9.5.2 Competitive benchmarking of key startups/SMEs 281
9.10 COMPETITIVE SCENARIO 283
9.10.1 PRODUCT LAUNCHES/DEVELOPMENTS 283
9.10.2 DEALS 285
9.10.3 OTHERS 288
10 COMPANY PROFILES 290
10.1 KEY PLAYERS 290
10.1.1 ABB 290
10.1.1.1 Business overview 290
10.1.1.2 Products/Solutions/Services offered 291
10.1.1.3 Recent developments 292
10.1.1.3.1 Product launches/developments 292
10.1.1.3.2 Deals 294
10.1.1.4 MnM view 295
10.1.1.4.1 Key strengths/Right to win 295
10.1.1.4.2 Strategic choices 295
10.1.1.4.3 Weaknesses/Competitive threats 295
10.1.2 EMERSON ELECTRIC CO. 296
10.1.2.1 Business overview 296
10.1.2.2 Products/Solutions/Services offered 297
10.1.2.3 Recent developments 298
10.1.2.3.1 Deals 298
10.1.2.4 MnM view 299
10.1.2.4.1 Key strengths/Right to win 299
10.1.2.4.2 Strategic choices 299
10.1.2.4.3 Weaknesses/Competitive threats 299
 
10.1.3 GENERAL ELECTRIC COMPANY 300
10.1.3.1 Business overview 300
10.1.3.2 Products/Solutions/Services offered 301
10.1.3.3 Recent developments 302
10.1.3.3.1 Product launches/developments 302
10.1.3.3.2 Deals 302
10.1.3.4 MnM view 303
10.1.3.4.1 Key strengths/Right to win 303
10.1.3.4.2 Strategic choices 303
10.1.3.4.3 Weaknesses/Competitive threats 303
10.1.4 HONEYWELL INTERNATIONAL INC. 304
10.1.4.1 Business overview 304
10.1.4.2 Products/Solutions/Services offered 305
10.1.4.3 Recent developments 306
10.1.4.3.1 Product launches/developments 306
10.1.4.3.2 Deals 307
10.1.4.3.3 Others 307
10.1.4.4 MnM view 308
10.1.4.4.1 Key strengths/Right to win 308
10.1.4.4.2 Strategic choices 308
10.1.4.4.3 Weaknesses/Competitive threats 308
10.1.5 ROCKWELL AUTOMATION 309
10.1.5.1 Business overview 309
10.1.5.2 Products/Solutions/Services offered 310
10.1.5.3 Recent developments 311
10.1.5.3.1 Product launches/developments 311
10.1.5.3.2 Deals 311
10.1.5.3.3 Others 313
10.1.5.4 MnM view 313
10.1.5.4.1 Key strengths/Right to win 313
10.1.5.4.2 Strategic choices 314
10.1.5.4.3 Weaknesses/Competitive threats 314
10.1.6 SCHNEIDER ELECTRIC 315
10.1.6.1 Business overview 315
10.1.6.2 Products/Solutions/Services offered 316
10.1.6.3 Recent developments 317
10.1.6.3.1 Product launches/developments 317
10.1.6.3.2 Deals 318
10.1.6.3.3 Others 318
10.1.6.4 MnM view 319
10.1.6.4.1 Key strengths/Right to win 319
10.1.6.4.2 Strategic choices 319
10.1.6.4.3 Weaknesses/Competitive threats 319
10.1.7 SIEMENS 320
10.1.7.1 Business overview 320
10.1.7.2 Products/Solutions/Services offered 321
10.1.7.3 Recent developments 322
10.1.7.3.1 Product launches/developments 322
10.1.7.3.2 Deals 323
10.1.7.3.3 Others 324
10.1.7.4 MnM view 324
10.1.7.4.1 Key strengths/Right to win 324
10.1.7.4.2 Strategic choices 324
10.1.7.4.3 Weaknesses/Competitive threats 324
10.1.8 YOKOGAWA ELECTRIC CORPORATION 325
10.1.8.1 Business overview 325
10.1.8.2 Products/Solutions/Services offered 326
10.1.8.3 Recent developments 327
10.1.8.3.1 Deals 327
10.1.8.4 MnM view 328
10.1.8.4.1 Key strengths/Right to win 328
10.1.8.4.2 Strategic choices 328
10.1.8.4.3 Weaknesses/Competitive threats 328
10.1.9 3D SYSTEMS, INC. 329
10.1.9.1 Business overview 329
10.1.9.2 Products/Solutions/Services offered 330
10.1.9.3 Recent developments 331
10.1.9.3.1 Deals 331
10.1.9.3.2 Others 332
10.1.10 CISCO SYSTEMS, INC. 333
10.1.10.1 Business overview 333
10.1.10.2 Products/Solutions/Services offered 334
10.1.10.3 Recent developments 335
10.1.10.3.1 Deals 335
10.1.11 IBM 337
10.1.11.1 Business overview 337
10.1.11.2 Products/Solutions/Services offered 338
10.1.11.3 Recent developments 340
10.1.11.3.1 Product launches/developments 340
10.1.11.3.2 Deals 340
10.1.11.3.3 Others 341
 
10.1.12 MITSUBISHI ELECTRIC CORPORATION 342
10.1.12.1 Business overview 342
10.1.12.2 Products/Solutions/Services offered 343
10.1.12.3 Recent developments 344
10.1.12.3.1 Product launches/developments 344
10.1.12.3.2 Deals 344
10.1.13 ORACLE 346
10.1.13.1 Business overview 346
10.1.13.2 Products/Solutions/Services offered 347
10.1.13.3 Recent developments 348
10.1.13.3.1 Product launches/developments 348
10.1.13.3.2 Deals 348
10.1.13.3.3 Others 349
10.1.14 SAP 350
10.1.14.1 Business overview 350
10.1.14.2 Products/Solutions/Services offered 351
10.1.14.3 Recent developments 352
10.1.14.3.1 Deals 352
10.1.15 STRATASYS 353
10.1.15.1 Business overview 353
10.1.15.2 Products/Solutions/Services offered 354
10.1.15.3 Recent developments 355
10.1.15.3.1 Product launches/developments 355
10.1.15.3.2 Deals 355
10.1.15.3.3 Others 356
10.2 OTHER PLAYERS 357
10.2.1 COGNEX CORPORATION 357
10.2.2 GOOGLE 358
10.2.3 INTEL CORPORATION 359
10.2.4 KEYENCE CORPORATION 360
10.2.5 NVIDIA CORPORATION 361
10.2.6 PTC 362
10.2.7 SAMSUNG 363
10.2.8 SONY CORPORATION 364
10.2.9 UNIVERSAL ROBOTS A/S 365
10.2.10 OMRON CORPORATION 366
 
11 APPENDIX 367
11.1 INSIGHTS FROM INDUSTRY EXPERTS 367
11.2 DISCUSSION GUIDE 368
11.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 371
11.4 CUSTOMIZATION OPTIONS 373
11.5 RELATED REPORTS 373
11.6 AUTHOR DETAILS 374