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