Global Industrial Automation Patent Intelligence

Table of Contents

"1 Executive Summary  
    
2 Research Methodology 
 2.1 Research Methodology
 2.2 Research Objectives
 2.3 Data Sources 
 2.4 Scope of the Study 
 2.5 Assumptions & Limitations
    
3 Patent Landscape Overview 
 3.1 Industrial Automation Industry Overview
 3.2 Industrial Automation Technology Landscape
 3.3 Patent Ecosystem 
 3.4 Patent Classification
 3.5 Innovation Drivers 
 3.6 Regulatory Framework
 3.7 IP Trends  
    
4 Global Patent Landscape 
 4.1 Patent Filing Trends 
 4.2 Patent Publications 
 4.3 Granted Patents 
 4.4 Patent Families 
 4.5 Geographic Distribution
 4.6 Technology Domains
    
5 Patent Portfolio Benchmarking
 5.1 Leading Patent Holders 
 5.2 Company Patent Comparison 
 5.3 University Patent Activity 
 5.4 Research Institute Patent Activity 
 5.5 Startup Patent Activity 
 5.6 Patent Quality Assessment 
    
6 Technology Domain Analysis 
 6.1 Industrial Control Systems & PLC Technologies
 6.2 Industrial Robotics & Motion Control Technologies
 6.3 Industrial IoT & Connected Automation Technologies
 6.4 Machine Vision & Intelligent Inspection Technologies
 6.5 SCADA, HMI & Industrial Networking Technologies
 6.6 Next-Generation Industrial Automation Technologies
    
7 Patent Intelligence  
 7.1 Citation Analysis 
 7.2 Inventor Analysis 
 7.3 Assignee Analysis 
 7.4 Patent Expiry Analysis
 7.5 Licensing Landscape
 7.6 Freedom-to-Operate Overview
    
8 Strategic Developments 
 8.1 Licensing Agreements
 8.2 Patent Acquisitions 
 8.3 Cross-Licensing Activities
 8.4 Technology Partnerships
 8.5 Government Programs
 8.6 Future IP Strategies 
    
9 Regional Patent Analysis 
 9.1 North America 
 9.2 Europe  
 9.3 China  
 9.4 Japan  
 9.5 South Korea 
 9.6 India  
 9.7 Southeast Asia 
 9.8 Other Regions 
    
10 Emerging Innovators 
 10.1 High-Growth Companies
 10.2 University Spin-offs 
 10.3 Startups by Region 
 10.4 Venture Capital Activity
 10.5 Unicorn Tracking 
 10.6 Disruptive Technologies
    
11 Future Technology Outlook 
 11.1 White Space Analysis
 11.2 Threat Analysis 
 11.3 Opportunity Mapping
 11.4 Future Leaders 
 11.5 Strategic Recommendations
    
12 Company Profiles  
 12.1 Fisher-Rosemount Systems Inc.
 12.2 Omron Corporation 
 12.3 Honeywell International Inc.
 12.4 Mitsubishi Electric Corporation
 12.5 Siemens AG 
 12.6 Rockwell Automation, Inc.
 12.7 Yokogawa Electric Corporation
 12.8 ABB Ltd.  
 12.9 Schneider Electric SE
 12.10 Emerson Electric Co.
 12.11 FANUC Corporation 
 12.12 Yaskawa Electric Corporation
 12.13 Bosch Rexroth AG 
 12.14 Kawasaki Heavy Industries, Ltd.
 12.15 General Electric Company
 12.16 Fuji Electric Co., Ltd.
 12.17 Keyence Corporation
 12.18 SICK AG  
 12.19 KUKA AG  
 12.20 Denso Corporation 
 12.21 Mitsubishi Heavy Industries, Ltd.
 12.22 Rockwell Automation Technologies, Inc.
 12.23 Johnson Controls International plc
 12.24 Eaton Corporation plc
 12.25 Phoenix Contact GmbH & Co. KG
    
13 List of Tables  
 Table 1 Industrial Automation Patent Landscape Overview
 Table 2 Patent Filing and Publication Trends
 Table 3 Leading Patent Holders 
 Table 4 Patent Portfolio Comparison 
 Table 5 Patent Distribution by Technology Domain 
 Table 6 Geographic Patent Distribution 
 Table 7 Patent Citation and Quality Comparison 
 Table 8 Emerging Industrial Automation Patent Innovators
    
14 List of Figures  
 Fig 1 Industrial Automation Patent Ecosystem
 Fig 2 Global Patent Filing Landscape 
 Fig 3 Industrial Automation Patent Filing Trend
 Fig 4 Patent Technology Domain Distribution
 Fig 5 Leading Patent Holders 
 Fig 6 Geographic Patent Distribution 
 Fig 7 Patent Citation and Innovation Network 
 Fig 8 Emerging Industrial Automation Technology Patent Landscape
    

List of Figures

RESEARCH METHODOLOGY

We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

• Product Lifecycle Analysis
• Competitor analysis
• Risk analysis
• Porters Analysis
• PESTEL Analysis
• SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.

Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

• Leading Companies
• Suppliers & Distributors
• Manufacturers
• Consumers
• Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.

For more details about research methodology, kindly write to us at info@strategymrc.com

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