The Latin America, Middle East and Africa Encoder Market should witness market growth of 11.7% CAGR during the forecast period (2022-2028).
A standard unsupervised artificial neural network called an auto-encoder accepts unlabeled input and learns effective codings about the data's structure that can be applied to different contexts. The function used by Auto-Encoders to map data from the entire input space to low-dimension coordinates is approximated, and with the least amount of loss, it is further approximated to the original input space dimension.
The feature extractor function of autoencoders can be applied to classification or regression problems. Using unlabeled data, autoencoders may efficiently learn codings about the data's structure that can be applied to supervised learning tasks.
The decoder part of the autoencoder can be ignoredand only use the encoder to convert higher-dimensional raw data input into a lower-dimensional encoded space after using a sample of training data to train an autoencoder network. This lower data dimension can also be used as a feature for supervised tasks. This lower dimension of data can be employed as a feature for supervised tasks.
The UAE government has introduced the 'Artificial Intelligence (AI) and coding licence' programme. To encourage AI investments and persuade AI companies and programmers from all over the world to relocate in the United Arab Emirates, a licence for coding and artificial intelligence (AI) has been developed. The licence also aims to accomplish the goals of the UAE's Artificial Intelligence Strategy 2031.
The Brazil market dominated the LAMEA Encoder Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $86.2 million by 2028. The Argentina market is experiencing a CAGR of 12.3% during (2022-2028). Additionally, The UAE market would showcase a CAGR of 11.4% during (2022-2028).
Based on Type, the market is segmented into Rotary and Linear. Based on Application, the market is segmented into Industrial, Healthcare, Power, Food & Beverage, Automotive, Consumer Electronics, Aerospace, Printing, Textile, and Others. Based on Signal Type, the market is segmented into Incremental and Absolute. Based on Technology, the market is segmented into Magnetic, Optical, Inductive, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Renishaw PLC, Dr. Johannes Heidenhain GmbH, Fraba B.V., Sensata Technologies Holdings PLC, IFM Electronics GmbH, Mitutoyo Corporation, Pepperl + Fuchs Group, Fortive Corporation, Maxon Motor Ag, and Balluff GmbH.
A standard unsupervised artificial neural network called an auto-encoder accepts unlabeled input and learns effective codings about the data's structure that can be applied to different contexts. The function used by Auto-Encoders to map data from the entire input space to low-dimension coordinates is approximated, and with the least amount of loss, it is further approximated to the original input space dimension.
The feature extractor function of autoencoders can be applied to classification or regression problems. Using unlabeled data, autoencoders may efficiently learn codings about the data's structure that can be applied to supervised learning tasks.
The decoder part of the autoencoder can be ignoredand only use the encoder to convert higher-dimensional raw data input into a lower-dimensional encoded space after using a sample of training data to train an autoencoder network. This lower data dimension can also be used as a feature for supervised tasks. This lower dimension of data can be employed as a feature for supervised tasks.
The UAE government has introduced the 'Artificial Intelligence (AI) and coding licence' programme. To encourage AI investments and persuade AI companies and programmers from all over the world to relocate in the United Arab Emirates, a licence for coding and artificial intelligence (AI) has been developed. The licence also aims to accomplish the goals of the UAE's Artificial Intelligence Strategy 2031.
The Brazil market dominated the LAMEA Encoder Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $86.2 million by 2028. The Argentina market is experiencing a CAGR of 12.3% during (2022-2028). Additionally, The UAE market would showcase a CAGR of 11.4% during (2022-2028).
Based on Type, the market is segmented into Rotary and Linear. Based on Application, the market is segmented into Industrial, Healthcare, Power, Food & Beverage, Automotive, Consumer Electronics, Aerospace, Printing, Textile, and Others. Based on Signal Type, the market is segmented into Incremental and Absolute. Based on Technology, the market is segmented into Magnetic, Optical, Inductive, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Renishaw PLC, Dr. Johannes Heidenhain GmbH, Fraba B.V., Sensata Technologies Holdings PLC, IFM Electronics GmbH, Mitutoyo Corporation, Pepperl + Fuchs Group, Fortive Corporation, Maxon Motor Ag, and Balluff GmbH.
Scope of the Study
By Type
- Rotary
- Linear
By Application
- Industrial
- Healthcare
- Power
- Food & Beverage
- Automotive
- Consumer Electronics
- Aerospace
- Printing
- Textile
- Others
By Signal Type
- Incremental
- Absolute
By Technology
- Magnetic
- Optical
- Inductive
- Others
By Country
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- Renishaw PLC
- Dr.Johannes Heidenhain GmbH
- Fraba B.V.
- Sensata Technologies Holdings PLC
- IFM Electronics GmbH
- Mitutoyo Corporation
- Pepperl + Fuchs Group
- Fortive Corporation
- Maxon Motor Ag
- Balluff GmbH
Unique Offerings
- Exhaustive coverage
- The highest number of market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 LAMEA Encoder Market, by Type
1.4.2 LAMEA Encoder Market, by Application
1.4.3 LAMEA Encoder Market, by Signal Type
1.4.4 LAMEA Encoder Market, by Technology
1.4.5 LAMEA Encoder Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.2.4 Expansions
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.3.2 Key Strategic Move: (Product Launches and Product Expansions: 2018, Feb - 2022, Nov) Leading Players
Chapter 4. LAMEA Encoder Market by Type
4.1 LAMEA Rotary Market by Country
4.2 LAMEA Linear Market by Country
Chapter 5. LAMEA Encoder Market by Application
5.1 LAMEA Industrial Market by Country
5.2 LAMEA Healthcare Market by Country
5.3 LAMEA Power Market by Country
5.4 LAMEA Food & Beverage Market by Country
5.5 LAMEA Automotive Market by Country
5.6 LAMEA Consumer Electronics Market by Country
5.7 LAMEA Aerospace Market by Country
5.8 LAMEA Printing Market by Country
5.9 LAMEA Textile Market by Country
5.1 LAMEA Others Market by Country
Chapter 6. LAMEA Encoder Market by Signal Type
6.1 LAMEA Incremental Market by Country
6.2 LAMEA Absolute Market by Country
Chapter 7. LAMEA Encoder Market by Technology
7.1 LAMEA Magnetic Market by Country
7.2 LAMEA Optical Market by Country
7.3 LAMEA Inductive Market by Country
7.4 LAMEA Others Market by Country
Chapter 8. LAMEA Encoder Market by Country
8.1 Brazil Encoder Market
8.1.1 Brazil Encoder Market by Type
8.1.2 Brazil Encoder Market by Application
8.1.3 Brazil Encoder Market by Signal Type
8.1.4 Brazil Encoder Market by Technology
8.2 Argentina Encoder Market
8.2.1 Argentina Encoder Market by Type
8.2.2 Argentina Encoder Market by Application
8.2.3 Argentina Encoder Market by Signal Type
8.2.4 Argentina Encoder Market by Technology
8.3 UAE Encoder Market
8.3.1 UAE Encoder Market by Type
8.3.2 UAE Encoder Market by Application
8.3.3 UAE Encoder Market by Signal Type
8.3.4 UAE Encoder Market by Technology
8.4 Saudi Arabia Encoder Market
8.4.1 Saudi Arabia Encoder Market by Type
8.4.2 Saudi Arabia Encoder Market by Application
8.4.3 Saudi Arabia Encoder Market by Signal Type
8.4.4 Saudi Arabia Encoder Market by Technology
8.5 South Africa Encoder Market
8.5.1 South Africa Encoder Market by Type
8.5.2 South Africa Encoder Market by Application
8.5.3 South Africa Encoder Market by Signal Type
8.5.4 South Africa Encoder Market by Technology
8.6 Nigeria Encoder Market
8.6.1 Nigeria Encoder Market by Type
8.6.2 Nigeria Encoder Market by Application
8.6.3 Nigeria Encoder Market by Signal Type
8.6.4 Nigeria Encoder Market by Technology
8.7 Rest of LAMEA Encoder Market
8.7.1 Rest of LAMEA Encoder Market by Type
8.7.2 Rest of LAMEA Encoder Market by Application
8.7.3 Rest of LAMEA Encoder Market by Signal Type
8.7.4 Rest of LAMEA Encoder Market by Technology
Chapter 9. Company Profiles
9.1 Sensata Technologies Holdings PLC
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expense
9.2 Fortive Corporation
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Research & Development Expense
9.3 Renishaw PLC
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expenses
9.3.5 Recent strategies and developments:
9.3.5.1 Product Launches and Product Expansions:
9.4 IFM Electronics GmbH
9.4.1 Company Overview
9.5 Maxon Motor Ag
9.5.1 Company Overview
9.5.2 Recent strategies and developments:
9.5.2.1 Product Launches and Product Expansions:
9.6 Fraba B.V.
9.6.1 Company Overview
9.6.2 Recent strategies and developments:
9.6.2.1 Expansions:
9.7 Dr. Johannes Heidenhain GmbH
9.7.1 Company Overview
9.7.2 Recent strategies and developments:
9.7.2.1 Partnerships, Collaborations, and Agreements:
9.7.2.2 Product Launches and Product Expansions:
9.7.2.3 Acquisition and Mergers:
9.8 Balluff GmbH
9.8.1 Company Overview
9.8.2 Recent strategies and developments:
9.8.2.1 Product Launches and Product Expansions:
9.9 Mitutoyo Corporation
9.9.1 Company Overview
9.9.2 Recent strategies and developments:
9.9.2.1 Product Launches and Product Expansions:
9.10. Pepperl + Fuchs Group
9.10.1 Company Overview
9.10.2 Recent strategies and developments:
9.10.2.1 Product Launches and Product Expansions:
Companies Mentioned
- Renishaw PLC
- Dr. Johannes Heidenhain GmbH
- Fraba B.V.
- Sensata Technologies Holdings PLC
- IFM Electronics GmbH
- Mitutoyo Corporation
- Pepperl + Fuchs Group
- Fortive Corporation
- Maxon Motor Ag
- Balluff GmbH
Methodology
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