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自己位置推定と環境地図作成(SLAM)市場:製品毎(2Dスラム、3Dスラム)、タイプ毎(EKFスラム、ファストスラム、グラフベーススラム、LSDスラム、S-PTAM、ORBスラム、ORBスラム2)、用途毎(ロボット、ドローン、仮想現実・拡張現実、自動車)、地域毎 - 2023年までの世界市場予測

Simultaneous Localization and Mapping Market by Offering (2D SLAM, 3D SLAM), Type (EKF SLAM, Fast SLAM, Graph-Based SLAM, LSD SLAM, S-PTAM, ORB-SLAM, and ORB-SLAM2), Application (Robotics, UAV, AR/VR, Automotive), and Geography - Global Forecast to 2023

 

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MarketsandMarkets
マーケッツアンドマーケッツ
2018年12月US$4,950
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128 92

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幅広い市場に関する調査レポートを出版しているマーケッツアンドマーケッツ(MarketsandMarkets)の自己位置推定と環境地図作成(SLAM)市場に関する調査レポートです。

“SLAM market to grow at a CAGR of 35.77% from 2018 to 2023”

The SLAM market is projected to reach USD 465 million by 2023 from USD 101 million by 2018, growing at a CAGR of 35.77%, during the forecast period. The growth of this market can largely be attributed to the advancements in visual SLAM algorithm, growth of SLAM in augmented reality (AR), and growing demand for self-locating robotics in homes and enterprises. However, the limitation of SLAM in dynamic environments is expected to restrict the market’s growth to a certain extent.

“Market for AR/VR to register highest growth during forecast period”

Huge middle-class population, along with rising disposable income, in developing countries will act as a growth catalyst in these counties. This, in turn, is expected to drive the SLAM market during the forecast period. Advancements in SLAM technology, like improving mapping accuracy, flexibility from cloud services, and better user experience compared to its counterpart (marker-based technology) are expected to propel the growth of SLAM in AR/VR applications during the forecast period.

“Market for Fast SLAM to register highest growth during forecast period”

The market for Fast SLAM is expected to register the highest CAGR. Fast SLAM produces accurate maps in extremely large environments and environments with substantial data association ambiguity. Fast SLAM is an efficient algorithm for autonomous navigation of mobile devices. Improving accuracy of localization and mapping and reduced hardware requirements for the process using Fast SLAM support the increasing penetration of mapping technologies in domestic robots and rising number of AR applications, which are expected to tailwind the rapid growth of this type.

“APAC to register highest growth during forecast period”

Advancements in artificial intelligence (AI) have attracted investments from both private and public sectors in APAC. Many companies are trying to identify untapped areas of commercial applications in the region, which would enable optimal utilization of AI.

Breakdown of primary participants’ profile:

- By Company Type: Tier 1 = 45%, Tier 2 = 32%, and Tier 3 = 23%
- By Designation: C-Level Executives = 30%, Directors = 45%, and Others = 25%
- By Region: North America = 26%, Europe = 40%, APAC = 22%, and RoW = 12%

Key players in the SLAM market include Intel (US), Microsoft (US), Alphabet (US), Amazon Robotics (US), Apple (US), Clearpath Robotics (Canada), Aethon (US), The Hi-Tech Robotic Systemz (India), Facebook (US), Intellias (Ukraine), Magic Leap (US), Rethink Robotics (US), Skydio (US), Navvis (Germany), and Mobile Industrial Robots APS (Denmark). The study includes an in-depth competitive analysis of these key players in the SLAM market, with their company profiles, recent developments, and key market strategies.

Research Coverage:

The market study covers the SLAM market across different segments. It aims at estimating the market size and the growth potential of this market, across different segments, such as offering, type, application, and region. The study also includes an in-depth competitive analysis of the key market players, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report:

The report will help leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall SLAM market and its subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. The report will also help stakeholders understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.



目次

1 INTRODUCTION 14
1.1 STUDY OBJECTIVES 14
1.2 DEFINITION 14
1.3 STUDY SCOPE 15
1.3.1 MARKETS COVERED 15
1.3.2 SLAM MARKET, BY GEOGRAPHY 15
1.3.3 YEARS CONSIDERED 16
1.4 CURRENCY 16
1.5 LIMITATIONS 16
1.6 STAKEHOLDERS 17

2 RESEARCH METHODOLOGY 18
2.1 RESEARCH DATA 18
2.1.1 SECONDARY DATA 19
2.1.1.1 Key data from secondary sources 19
2.1.2 PRIMARY DATA 20
2.1.2.1 Key data from primary sources 20
2.1.2.2 Key industry insights 21
2.1.2.3 Breakdown of primaries 21
2.2 MARKET SIZE ESTIMATION 22
2.2.1 BOTTOM-UP APPROACH 23
2.2.2 TOP-DOWN APPROACH 23
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 24
2.4 RESEARCH ASSUMPTION 25

3 EXECUTIVE SUMMARY 26

4 PREMIUM INSIGHT 31
4.1 ATTRACTIVE OPPORTUNITIES IN SLAM MARKET 31
4.2 SLAM MARKET, BY TYPE 31
4.3 SLAM MARKET, BY COUNTRY 32
4.4 SLAM MARKET IN APAC IN 2018, BY COUNTRY & APPLICATION 33
4.5 SLAM MARKET, BY OFFERING 33
4.6 SLAM MARKET, BY APPLICATION 34

5 MARKET OVERVIEW 35
5.1 INTRODUCTION 35
5.1.1 DRIVERS 36
5.1.1.1 Growing demand for self-locating robotics in homes and enterprises 36
5.1.1.2 Advancements in visual SLAM algorithm 37
5.1.1.3 Growth of SLAM in Augmented Reality (AR) 37
5.1.2 RESTRAINTS 38
5.1.2.1 Unpredictable performance and reliability in untested environments 38
5.1.2.2 Limitation of SLAM in dynamic environments 38
5.1.3 OPPORTUNITIES 38
5.1.3.1 Growing demand for drones in military and commercial applications 38
5.1.3.2 Proliferation of cloud-based visual SLAM for outdoor applications 39
5.1.3.3 SLAM for smartphones 40
5.1.3.4 Increasing aging population in Europe and Japan will offer significant growth opportunities to autonomous home service robots 40
5.1.4 CHALLENGE 40
5.1.4.1 Incorrect initialization and loop closure can significantly alter
SLAM accuracy 40
5.1.4.2 Complex design of data association in visual SLAM 41

6 SLAM MARKET, BY TYPE 42
6.1 INTRODUCTION 43
6.2 EKF SLAM 44
6.2.1 MOST WIDELY USED SLAM TECHNOLOGY 44
6.3 FAST SLAM 45
6.3.1 AN EFFICIENT ALGORITHM FOR AUTONOMOUS NAVIGATION OF MOBILE DEVICES 45
6.4 GRAPH-BASED SLAM 46
6.4.1 GRAPH-BASED SLAM MAJORLY USED FOR PACKAGE DELIVERY, SEARCH & RESCUE, AND TRAFFIC SURVEILLANCE 46
6.5 OTHERS 48

7 SLAM MARKET, BY OFFERING 50
7.1 INTRODUCTION 51
7.2 2D SLAM 52
7.2.1 USE OF 2D SLAM IN DIMENSIONAL MEASUREMENT APPLICATIONS RESULTS INTO INCREASING LEVELS OF ACCURACY 52
7.3 3D SLAM 54
7.3.1 3D SLAM USED IN WIDE RANGE OF APPLICATIONS FOR REAL-TIME POSITIONING OVER LONG DISTANCES 54

8 SLAM MARKET, BY APPLICATION 57
8.1 INTRODUCTION 58
8.2 ROBOTICS 59
8.2.1 SLAM IN RESIDENTIAL ROBOTIC VACUUM CLEANERS TO INCREASE INDOOR MAPPING ACCURACIES 59
8.3 UAV 61
8.3.1 INCREASING DEMAND FOR SLAM-BASED DELIVERY DRONES
IN LOGISTICS INDUSTRY 61
8.4 AR/VR 62
8.4.1 SLAM TECHNOLOGY IS GAINING TRACTION IN ADVANCED AR/VR PLATFORM 62
8.5 AUTOMOTIVE 63
8.5.1 REAL TIME LOCALIZATION AND MAPPING IN AUTONOMOUS VEHICLES TO DRIVE SLAM MARKET 63
8.6 OTHERS 65

9 GEOGRAPHIC ANALYSIS 66
9.1 INTRODUCTION 67
9.2 NORTH AMERICA 69
9.2.1 US 72
9.2.1.1 Increasing funds for startups to imply the AI technology in autonomous drones and other flying vehicles 72
9.2.2 CANADA 73
9.2.2.1 Huge investments on advanced robotics and space exploration technologies 73
9.2.3 MEXICO 73
9.2.3.1 Increasing government initiatives to promote the growth of automotive industry in the country 73
9.3 EUROPE 74
9.3.1 UK 77
9.3.1.1 Government initiatives to create favorable environment that drives the utility of drones in private sector 77
9.3.2 GERMANY 77
9.3.2.1 Germany an innovation hub for OEMs bolsters the growth of semi-autonomous and autonomous vehicles market 77
9.3.3 FRANCE 78
9.3.3.1 Several product and solution launches in the field of robotics and unmanned aerial vehicles (UAVs) 78
9.3.4 REST OF EUROPE 78
9.4 APAC 79
9.4.1 CHINA 82
9.4.1.1 Increasing partnerships with leading giants to develop SLAM solutions for various verticals 82
9.4.2 JAPAN 82
9.4.2.1 Government support and strong organic growth capabilities expected to promote the growth of AI-enabled robots in Japan 82
9.4.3 SOUTH KOREA 83
9.4.3.1 Increasing adoption of SLAM solutions in consumer robots and robotic vacuum cleaners 83
9.4.4 REST OF APAC 83
9.5 ROW 84
9.5.1 SOUTH AMERICA 86
9.5.1.1 Increasing demand for deployment of SLAM solutions in automotive and drones markets 86
9.5.2 MIDDLE EAST & AFRICA 86
9.5.2.1 Potential for investments in augmented reality/virtual reality technologies 86

10 COMPETITIVE LANDSCAPE 87
10.1 INTRODUCTION 87
10.2 MARKET RANKING ANALYSIS: SIMULTANEOUS LOCALIZATION AND MAPPING MARKET 88
10.3 COMPETITIVE SITUATIONS AND TRENDS 89
10.3.1 PRODUCT/SOLUTION LAUNCHES 89
10.3.2 PARTNERSHIPS/COLLABORATIONS 90

11 COMPANY PROFILES 91
11.1 INTRODUCTION 91
11.2 KEY PLAYERS 92
(Business Overview, Solutions/Products Offered, Recent Developments, SWOT Analysis, and MnM View)*
11.2.1 INTEL 92
11.2.2 ALPHABET 95
11.2.3 AMAZON ROBOTICS 98
11.2.4 APPLE 100
11.2.5 MICROSOFT 103
11.2.6 CLEARPATH ROBOTICS 106
11.2.7 AETHON 108
11.2.8 THE HI-TECH ROBOTIC SYSTEMZ 109
11.2.9 FACEBOOK 111
11.2.10 INTELLIAS 113
11.2.11 MAXST 114
* Business Overview, Solutions/Products Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.
11.3 OTHER IMPORTANT PLAYERS 118
11.3.1 MAGIC LEAP 118
11.3.2 RETHINK ROBOTICS 118
11.3.3 SKYDIO 118
11.3.4 NAVVIS 119
11.3.5 MOBILE INDUSTRIAL ROBOT APS 119
-
12 APPENDIX 120
12.1 INSIGHTS OF INDUSTRY EXPERTS 120
12.2 DISCUSSION GUIDE 121
12.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 124
12.4 AVAILABLE CUSTOMIZATIONS 126
12.5 RELATED REPORTS 126
12.6 AUTHOR DETAILS 127

 

LIST OF TABLES

TABLE 1 SLAM MARKET, BY TYPE, 2016-2023 (USD MILLION) 43
TABLE 2 EKF SLAM MARKET, BY REGION, 2016-2023 (USD MILLION) 44
TABLE 3 EKF SLAM MARKET, BY OFFERING, 2016-2023 (USD MILLION) 45
TABLE 4 FAST SLAM MARKET, BY REGION, 2016-2023 (USD MILLION) 46
TABLE 5 FAST SLAM MARKET, BY OFFERING, 2016-2023 (USD MILLION) 46
TABLE 6 GRAPH-BASED SLAM MARKET, BY REGION, 2016-2023 (USD MILLION) 47
TABLE 7 GRAPH-BASED SLAM MARKET, BY OFFERING, 2016-2023 (USD MILLION) 48
TABLE 8 OTHERS SLAM MARKET, BY REGION, 2016-2023 (USD MILLION) 48
TABLE 9 OTHERS SLAM MARKET, BY OFFERING, 2016-2023 (USD MILLION) 49
TABLE 10 SLAM MARKET, BY OFFERING, 2016-2023 (USD MILLION) 51
TABLE 11 2D SLAM MARKET, BY REGION, 2016-2023 (USD MILLION) 52
TABLE 12 2D SLAM MARKET, BY APPLICATION, 2016-2023 (USD MILLION) 53
TABLE 13 2D SLAM MARKET, BY TYPE, 2016-2023 (USD MILLION) 54
TABLE 14 3D SLAM MARKET, BY REGION, 2016-2023 (USD MILLION) 55
TABLE 15 3D SLAM MARKET, BY APPLICATION, 2016-2023 (USD MILLION) 55
TABLE 16 3D SLAM MARKET, BY TYPE, 2016-2023 (USD MILLION) 56
TABLE 17 SLAM MARKET, BY APPLICATION, 2016-2023 (USD MILLION) 58
TABLE 18 SLAM MARKET FOR ROBOTICS, BY REGION, 2016-2023 (USD MILLION) 60
TABLE 19 SLAM MARKET FOR ROBOTICS, BY OFFERING, 2016-2023 (USD MILLION) 60
TABLE 20 SLAM MARKET FOR UAV, BY REGION, 2017-2023 (USD MILLION) 61
TABLE 21 SLAM MARKET FOR UAV, BY OFFERING, 2017-2023 (USD MILLION) 61
TABLE 22 SLAM MARKET FOR AR/VR, BY REGION, 2017-2023 (USD MILLION) 63
TABLE 23 SLAM MARKET FOR AR/VR, BY OFFERING, 2017-2023 (USD MILLION) 63
TABLE 24 SLAM MARKET FOR AUTOMOTIVE, BY REGION, 2018-2023 (USD MILLION) 64
TABLE 25 SLAM MARKET FOR AUTOMOTIVE, BY OFFERING, 2018-2023 (USD MILLION) 64
TABLE 26 SLAM MARKET FOR OTHERS, BY REGION, 2018-2023 (USD MILLION) 65
TABLE 27 SLAM MARKET FOR OTHERS, BY OFFERING, 2018-2023 (USD MILLION) 65
TABLE 28 SLAM MARKET, BY REGION, 2016-2023 (USD MILLION) 68
TABLE 29 SLAM MARKET IN NORTH AMERICA, BY COUNTRY, 2016-2023 (USD MILLION) 71
TABLE 30 SLAM MARKET IN NORTH AMERICA, BY TYPE, 2016-2023 (USD MILLION) 71
TABLE 31 SLAM MARKET IN NORTH AMERICA, BY OFFERING, 2016-2023 (USD MILLION) 71
TABLE 32 SLAM MARKET IN NORTH AMERICA, BY APPLICATION, 2016-2023 (USD MILLION) 72
TABLE 33 SLAM MARKET IN EUROPE, BY COUNTRY, 2016-2023 (USD MILLION) 76
TABLE 34 SLAM MARKET IN EUROPE, BY TYPE, 2016-2023 (USD MILLION) 76
TABLE 35 SLAM MARKET IN EUROPE, BY OFFERING, 2016-2023 (USD MILLION) 76
TABLE 36 SLAM MARKET IN EUROPE, BY APPLICATION, 2016-2023 (USD MILLION) 77
TABLE 37 SLAM MARKET IN APAC, BY COUNTRY, 2016-2023 (USD MILLION) 81
TABLE 38 SLAM MARKET IN APAC, BY TYPE, 2016-2023 (USD MILLION) 81
TABLE 39 SLAM MARKET IN APAC, BY OFFERING, 2016-2023 (USD MILLION) 81
TABLE 40 SLAM MARKET IN APAC, BY APPLICATION, 2016-2023 (USD MILLION) 82
TABLE 41 SLAM MARKET IN ROW, BY REGION, 2016-2023 (USD MILLION) 84
TABLE 42 SLAM MARKET IN ROW, BY TYPE, 2016-2023 (USD MILLION) 85
TABLE 43 SLAM MARKET IN ROW, BY OFFERING, 2016-2023 (USD MILLION) 85
TABLE 44 SLAM MARKET IN ROW, BY APPLICATION, 2016-2023 (USD MILLION) 85
TABLE 45 PRODUCT LAUNCHES, 2016-2018 89
TABLE 46 PARTNERSHIPS/ COLLABORATIONS, 2016-2018 90

 

LIST OF FIGURES

FIGURE 1 RESEARCH DESIGN 18
FIGURE 2 PROCESS FLOW OF MARKET SIZE ESTIMATION 22
FIGURE 3 DATA TRIANGULATION 24
FIGURE 4 NORTH AMERICA TO HOLD LARGEST SIZE OF EKF SLAM MARKET DURING FORECAST PERIOD 27
FIGURE 5 3D SLAM TO GROW AT HIGHER CAGR FROM 2018 TO 2023 27
FIGURE 6 SLAM MARKET FOR ROBOTICS IN APAC EXPECTED TO GROW AT HIGHEST CAGR DURING 2018-2023 28
FIGURE 7 MARKET FOR FAST SLAM IN APAC TO GROW AT HIGHEST CAGR DURING
FORECAST PERIOD 29
FIGURE 8 SLAM MARKET IN APAC EXPECTED TO GROW AT HIGHEST CAGR DURING
2018-2023 30
FIGURE 9 GROWING DEMAND FOR DRONES FOR MILITARY AND COMMERCIAL APPLICATIONS TO PROVIDE POTENTIAL OPPORTUNITY FOR MARKET 31
FIGURE 10 MARKET FOR FAST SLAM TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 31
FIGURE 11 SLAM MARKET IN CHINA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 32
FIGURE 12 ROBOTICS TO HOLD LARGEST SHARE OF SLAM MARKET IN APAC IN 2018 33
FIGURE 13 MARKET FOR 3D SLAM TO GROW AT HIGHER CAGR FROM 2018 TO 2023 33
FIGURE 14 MARKET FOR AR/VR TO GROW AT HIGHEST CAGR FROM 2018 TO 2023 34
FIGURE 15 MARKET DYNAMICS FIGURE 35
FIGURE 16 GROWTH IN AMAZON’S WAREHOUSE ROBOTICS 36
FIGURE 17 ESTIMATED CUMULATIVE DRONE SPENDING BY COUNTRIES,
2017-2021 (USD BILLION) 39
FIGURE 18 SLAM MARKET, BY TYPE 43
FIGURE 19 EKF SLAM MARKET FOR 2D SLAM TO GROW AT HIGHER CAGR DURING
FORECAST PERIOD 45
FIGURE 20 GRAPH-BASED SLAM MARKET IN APAC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 47
FIGURE 21 OTHERS SLAM MARKET FOR 2D SLAM TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 49
FIGURE 22 SLAM MARKET, BY OFFERING 51
FIGURE 23 2D SLAM MARKET FOR FAST SLAM TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 53
FIGURE 24 3D SLAM MARKET IN APAC TO GROW AT HIGHEST CAGR DURING
FORECAST PERIOD 55
FIGURE 25 3D SLAM MARKET FOR FAST SLAM TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 56
FIGURE 26 SLAM MARKET, BY APPLICATION 58
FIGURE 27 3D SLAM MARKET FOR ROBOTICS TO GROW AT HIGHER CAGR DURING
FORECAST PERIOD 60
FIGURE 28 SLAM MARKET FOR AR/VR IN APAC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 62
FIGURE 29 3D SLAM MARKET FOR AUTOMOTIVE TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 64
FIGURE 30 SLAM MARKET, BY GEOGRAPHY 67
FIGURE 31 GEOGRAPHIC SNAPSHOT: SLAM MARKET IN APAC EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 67
FIGURE 32 SLAM MARKET IN CHINA ESTIMATED TO GROW AT HIGHEST CAGR
FROM 2018 TO 2023 68
FIGURE 33 NORTH AMERICA SLAM MARKET, BY COUNTRY 69
FIGURE 34 NORTH AMERICA: SLAM MARKET SNAPSHOT 70
FIGURE 35 EUROPE SLAM MARKET, BY COUNTRY 74
FIGURE 36 EUROPE: SLAM MARKET SNAPSHOT 75
FIGURE 37 APAC SLAM MARKET, BY COUNTRY 79
FIGURE 38 APAC: SLAM MARKET SNAPSHOT 80
FIGURE 39 ROW SLAM MARKET, BY REGION 84
FIGURE 40 KEY GROWTH STRATEGIES ADOPTED BY TOP COMPANIES, 2015-2018 87
FIGURE 41 RANKING OF TOP 5 PLAYERS IN SIMULTANEOUS LOCALIZATION AND
MAPPING MARKET, (2017) 88
FIGURE 42 INTEL: COMPANY SNAPSHOT 92
FIGURE 43 ALPHABET: COMPANY SNAPSHOT 95
FIGURE 44 APPLE: COMPANY SNAPSHOT 100
FIGURE 45 MICROSOFT: COMPANY SNAPSHOT 103
FIGURE 46 FACEBOOK: COMPANY SNAPSHOT 111

 

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プレスリリース

[プレスリリース原文]

Simultaneous Localization and Mapping Market worth $465 million by 2023

 

December 5, 2018

The report "Simultaneous Localization and Mapping Market by Offering (2D SLAM, 3D SLAM), Type (EKF SLAM, Fast SLAM, Graph-Based SLAM, LSD SLAM, S-PTAM, ORB-SLAM, and ORB-SLAM2), Application (Robotics, UAV, AR/VR, Automotive), and Geography - Global Forecast to 2023", The SLAM market is projected to reach USD 465 million by 2023 from USD 101 million in 2018, at a CAGR of 35.77% during the forecast period. Major drivers for the market’s growth are the advancements in visual SLAM algorithm, growth of SLAM in augmented reality (AR), and growing demand for self-locating robotics in homes and enterprises; limitation of SLAM in dynamic environments is the major restraint to its growth.

EKF SLAM expected to hold largest market share during forecast period

EKF SLAM held the largest share of the SLAM market due to its ability to handle nonlinear systems, which made it suitable for a wide array of applications that cannot be modeled by linear state transitions. EKF SLAM has been in use for the past 2 decades and is still used in existing SLAM applications, such as robot mapping and autonomous cars.

2D SLAM to hold largest market share during forecast period

2D SLAM is expected to continue commanding a larger share of the market than 3D SLAM owing to its increasing use in domestic robots. For instance, in September 2018, ILIFE INNOVATION (China) launched A7, a new pro robot vacuum cleaner, worldwide on Amazon and AliExpress as a premium addition to its A-series robots.

North America expected to be largest SLAM market

Increasing SLAM adoption for automation, coupled with expanding applications of UAVs, has led the path for the market’s growth in the region. The reason for the dominance of the US in North America is its well-established economy, which allows for investments in new technologies.

Key players in the SLAM market include Intel (US), Microsoft (US), Alphabet (US), Amazon Robotics (US), Apple (US), Clearpath Robotics (Canada), Aethon (US), The Hi-Tech Robotic Systemz (India), Facebook (US), Intellias (Ukraine), Magic Leap (US), Rethink Robotics (US), Skydio (US), Navvis (Germany), and Mobile Industrial Robots APS (Denmark).

 

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