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群知能市場:モデル毎、能力毎(クラスタリング、ルーティング、スケジューリング、最適化)、用途毎(ロボット、ドローン、群衆)、地域毎 - 2030年までの世界市場予測

Swarm Intelligence Market by Model, Capability (Clustering, Routing, Scheduling, and Optimization), Application (Robotics, Drones, and Human Swarming), and Geography - Global Forecast to 2030

 

出版社 出版日電子媒体価格ページ数図表数
MarketsandMarkets
マーケッツアンドマーケッツ
2017年11月 US$ 5,650
シングルユーザライセンス
84p59点

サマリー

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)の群知能市場に関する調査レポートです。

“Swarm intelligence market expected to grow at significant rate between 2020 and 2030”

The swarm intelligence market is expected to be valued at USD 447.2 million by 2030, growing at a CAGR of 40.47% from 2020 to 2030, considering the technology will get commercialized by 2020. The key factors driving the growth of the swarm intelligence market are the increasing usage of swarm intelligence for solving big data problems, the rising adoption of swarm-based drones in the military, and need for swarm intelligence in the transportation business. However, the major factor restraining the growth of this market is the reluctance to accept new technology.

“Robotics expected to account for largest share of swarm intelligence market by 2020”

Swarm robotics is the study of how a large number of relatively simple physically embodied agents can be designed such that a desired collective behavior emerges from the local interactions among agents and between agents and the environment. Robots in a swarm can be used to find the target in such a way that the final distribution is proportional to the target qualities. Some algorithms provide the robot swarm with scalability in terms of the number of robots and the number of targets, and with adaptability to a nonuniform distribution of the target qualities. This factor would help in the growth of the swarm intelligence market in the coming years.

“APAC expected to account for largest share of swarm intelligence market by 2020”

APAC is expected to account for a substantial share of the global swarm intelligence market. APAC comprises China, Japan, and South Korea; China is considered one of the major contributors. The swarm intelligence market growth in APAC is attributed to the increased adoption of swarm-based drones in the military. In June 2017, China launched a swarm of 119 fixed-wing UAVs; the Chinese military is also planning to launch “armed drones” as a new battle technique. This would drive the growth of the swarm intelligence market in this region.

The breakup of the profiles of primary participants for the report has been given below:

- By Company Type: Tier 1 - 20%, Tier 2 - 55%, and Tier 3 - 25%
- By Designation: C-Level Executives - 50%, Directors - 25%, and Others- 25%
- By Region: North America - 40%, Europe - 30%, APAC - 20%, and RoW -  10%

The key players operating in the swarm intelligence market are DoBots (Netherlands), Hydromea (Switzerland), Sentien Robotics (US), Unanimous A.I. (US), AxonAI (US), Swarm Technology (US), SSI Sch-fer - Fritz Sch-fer (Germany), Valutico (Austria), Enswarm (UK), and Power-Blox (Switzerland).

Research Coverage:

The research report on the swarm intelligence market covers the market segmented on the basis of the following segments: model, capability, application, and geography. The market has been segmented on the basis of model into Ant Colony Optimization, Particle Swarm Optimization, and others. On the basis of application, the swarm intelligence market has been classified into robotics, drones, and human swarming. The market has been segmented on the basis of capability into clustering, optimization, scheduling, and routing. The report covers the market based on 4 major regions-North America, Europe, APAC, and RoW.

Key Benefits of Buying the Report:

  •   Illustrative segmentation, analysis, and forecast for the market based on model, capability, application, and geography have been conducted to provide an overall view of the swarm intelligence market.
  •   The major drivers, restraints, opportunities, and challenges for the swarm intelligence market have been detailed in this report.
  •   A detailed competitive landscape of key players in the swarm intelligence market has been included in the report.


目次

1 INTRODUCTION 10
1.1 STUDY OBJECTIVES 10
1.2 MARKET DEFINITION 10
1.3 STUDY SCOPE 11
1.3.1 MARKETS COVERED 11
1.3.2 GEOGRAPHIC SCOPE 11
1.3.3 YEARS CONSIDERED FOR STUDY 12
1.4 CURRENCY 12
1.5 MARKET STAKEHOLDERS 12

2 RESEARCH METHODOLOGY 13
2.1 RESEARCH DATA 13
2.1.1 SECONDARY DATA 14
2.1.1.1 Secondary sources 14
2.1.2 PRIMARY DATA 14
2.1.2.1 Primary sources 15
2.1.2.2 Breakdown of primaries 15
2.2 MARKET SIZE ESTIMATION 16
2.2.1 TOP-DOWN APPROACH 17
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 18
2.4 RESEARCH ASSUMPTIONS 19

3 EXECUTIVE SUMMARY 20

4 PREMIUM INSIGHTS 24
4.1 ATTRACTIVE OPPORTUNITIES IN OVERALL SWARM INTELLIGENCE MARKET 24
4.2 SWARM INTELLIGENCE MARKET FOR ROBOTICS, BY MODEL 24
4.3 SWARM INTELLIGENCE MARKET, BY APPLICATION AND REGION 25
4.4 REGION-WISE ANALYSIS OF SWARM INTELLIGENCE MARKET 26
4.5 SWARM INTELLIGENCE MARKET, BY APPLICATION 26

5 MARKET OVERVIEW 27
5.1 INTRODUCTION 27
5.2 MARKET DYNAMICS 27
5.2.1 DRIVERS 28
5.2.1.1 Increase in usage of swarm intelligence for solving big data problems 28
5.2.1.2 Rising adoption of swarm-based drones (UAVs) in military 28
5.2.1.3 Need for swarm intelligence in transportation business 28
5.2.2 RESTRAINTS 29
5.2.2.1 Reluctance to accept new technology by key industries 29
5.2.3 OPPORTUNITIES 29
5.2.3.1 Integration of swarm intelligence technology with connected cars 29
5.2.3.2 Use of swarm robotics in warehouses 29
5.2.3.3 Implementation of swarm intelligence in telecommunications industry 29
5.2.4 CHALLENGES 30
5.2.4.1 Lack of skilled workforce 30
5.2.4.2 Low awareness about swarm intelligence 30
5.2.4.3 Funding limitations 30
5.3 VALUE CHAIN 31

6 SWARM INTELLIGENCE MARKET, BY MODEL 32
6.1 INTRODUCTION 33
6.2 ANT COLONY OPTIMIZATION (ACO) 33
6.3 PARTICLE SWARM OPTIMIZATION (PSO) 34
6.4 OTHERS 36

7 SWARM INTELLIGENCE MARKET, BY CAPABILITY 37
7.1 INTRODUCTION 38
7.2 OPTIMIZATION 38
7.3 ROUTING 39
7.4 SCHEDULING 40
7.5 CLUSTERING 41

8 SWARM INTELLIGENCE MARKET, BY APPLICATION 43
8.1 INTRODUCTION 44
8.2 ROBOTICS 44
8.3 DRONES 46
8.4 HUMAN SWARMING 48

9 GEOGRAPHIC ANALYSIS 50
9.1 INTRODUCTION 51
9.2 NORTH AMERICA 52
9.3 EUROPE 53
9.4 ASIA PACIFIC 54
9.5 ROW 55
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10 COMPANY PROFILES 56
10.1 OVERVIEW 56
10.2 COMPETITIVE BENCHMARKING ANALYSIS 56
(Business Overview, Products Offered, Product Offering, Business Strategy, and Case study)*
10.3 KEY PLAYERS 57
10.3.1 DOBOTS 57
10.3.2 HYDROMEA SA 58
10.3.3 SENTIEN ROBOTICS 59
10.3.4 UNANIMOUS A.I. 60
10.3.5 AXONAI 62
10.3.6 SWARM TECHNOLOGY 63
10.3.7 SSI SCH-FER-FRITZ SCH-FER 65
10.3.8 VALUTICO 66
10.3.9 ENSWARM 67
10.3.10 POWER-BLOX 69
10.4 KEY INNOVATORS 70
10.4.1 REDTREE ROBOTICS 70
10.4.2 GREY ORANGE 70
10.4.3 EVANA 70
10.4.4 KIM TECHNOLOGIES 70
10.4.5 LEXALYTICS 70
10.5 OTHER IMPORTANT PLAYERS 71
10.5.1 BRAINALYZED 71
10.5.2 QUEEN B ROBOTICS 71
10.5.3 RESSON AEROSPACE 71
10.5.4 NETBEEZ 72
10.5.5 SWARM SYSTEMS 72
10.5.6 MOBILEYE (INTEL COMPANY) 72
10.5.7 CONTINENTAL 73
10.5.8 NVIDIA 73
10.5.9 BOSCH GROUP 73
10.5.10 APIUM SWARM ROBOTICS 74
*Details on Business Overview, Products Offered, Product Offering, Business Strategy, and Case study might not be captured in case of unlisted companies.
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11 APPENDIX 75
11.1 INSIGHTS OF INDUSTRY EXPERTS 75
11.2 DISCUSSION GUIDE 76
11.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 77
11.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 79
11.5 AVAILABLE CUSTOMIZATIONS 81
11.6 RELATED REPORTS 81
11.7 AUTHOR DETAILS 82

 

LIST OF TABLES

TABLE 1 SWARM INTELLIGENCE MARKET, BY MODEL, 2020-2030 (USD MILLION) 33
TABLE 2 SWARM INTELLIGENCE MARKET FOR ANT COLONY OPTIMIZATION, BY CAPABILITY, 2020-2030 (USD MILLION) 34
TABLE 3 SWARM INTELLIGENCE MARKET FOR ANT COLONY OPTIMIZATION,
BY APPLICATION, 2020-2030 (USD MILLION) 34
TABLE 4 SWARM INTELLIGENCE MARKET FOR PARTICLE SWARM OPTIMIZATION,
BY CAPABILITY, 2020-2030 (USD MILLION) 35
TABLE 5 SWARM INTELLIGENCE MARKET FOR PARTICLE SWARM OPTIMIZATION,
BY APPLICATION, 2020-2030 (USD MILLION) 35
TABLE 6 SWARM INTELLIGENCE MARKET FOR OTHERS, BY CAPABILITY,
2020-2030 (USD MILLION) 36
TABLE 7 SWARM INTELLIGENCE MARKET FOR OTHERS, BY APPLICATION,
2020-2030 (USD MILLION) 36
TABLE 8 SWARM INTELLIGENCE MARKET, BY CAPABILITY, 2020-2030 (USD MILLION) 38
TABLE 9 SWARM INTELLIGENCE MARKET FOR OPTIMIZATION, BY MODEL,
2020-2030 (USD MILLION) 39
TABLE 10 SWARM INTELLIGENCE MARKET FOR OPTIMIZATION, BY APPLICATION,
2020-2030 (USD MILLION) 39
TABLE 11 SWARM INTELLIGENCE MARKET FOR ROUTING, BY MODEL,
2020-2030 (USD MILLION) 40
TABLE 12 SWARM INTELLIGENCE MARKET FOR ROUTING, BY APPLICATION,
2020-2030 (USD MILLION) 40
TABLE 13 SWARM INTELLIGENCE MARKET FOR SCHEDULING, BY MODEL,
2020-2030 (USD MILLION) 41
TABLE 14 SWARM INTELLIGENCE MARKET FOR SCHEDULING, BY APPLICATION,
2020-2030 (USD MILLION) 41
TABLE 15 SWARM INTELLIGENCE MARKET FOR CLUSTERING, BY MODEL,
2020-2030 (USD MILLION) 42
TABLE 16 SWARM INTELLIGENCE MARKET FOR CLUSTERING, BY APPLICATION,
2020-2030 (USD MILLION) 42
TABLE 17 SWARM INTELLIGENCE MARKET, BY APPLICATION, 2020-2030 (USD MILLION) 44
TABLE 18 SWARM INTELLIGENCE MARKET FOR ROBOTICS, BY MODEL,
2020-2030 (USD MILLION) 45
TABLE 19 SWARM INTELLIGENCE MARKET FOR ROBOTICS, BY CAPABILITY,
2020-2030 (USD MILLION) 45
TABLE 20 SWARM INTELLIGENCE MARKET FOR ROBOTICS, BY REGION,
2020-2030 (USD MILLION) 46
TABLE 21 SWARM INTELLIGENCE MARKET FOR DRONES, BY MODEL,
2020-2030 (USD MILLION) 47
TABLE 22 SWARM INTELLIGENCE MARKET FOR DRONES, BY CAPABILITY,
2020-2030 (USD MILLION) 47
TABLE 23 SWARM INTELLIGENCE MARKET FOR DRONES, BY REGION,
2020-2030 (USD MILLION) 47
TABLE 24 SWARM INTELLIGENCE MARKET FOR HUMAN SWARMING, BY MODEL,
2020-2030 (USD MILLION) 48
TABLE 25 SWARM INTELLIGENCE MARKET FOR HUMAN SWARMING, BY CAPABILITY,
2020-2030 (USD MILLION) 49
TABLE 26 SWARM INTELLIGENCE MARKET FOR HUMAN SWARMING, BY REGION,
2020-2030 (USD MILLION) 49
TABLE 27 SWARM INTELLIGENCE MARKET, BY REGION, 2020-2030 (USD MILLION) 52
TABLE 28 SWARM INTELLIGENCE MARKET IN NORTH AMERICA, BY APPLICATION,
2020-2030 (USD MILLION) 52
TABLE 29 SWARM INTELLIGENCE MARKET IN EUROPE, BY APPLICATION,
2020-2030 (USD MILLION) 53
TABLE 30 SWARM INTELLIGENCE MARKET IN APAC, BY APPLICATION,
2020-2030 (USD MILLION) 54
TABLE 31 SWARM INTELLIGENCE MARKET IN ROW, BY APPLICATION,
2020-2030 (USD MILLION) 55
TABLE 32 DOBOTS: COMPANY SNAPSHOT 57
TABLE 33 HYDROMEA SA: COMPANY SNAPSHOT 58
TABLE 34 SENTIEN ROBOTICS: COMPANY SNAPSHOT 59
TABLE 35 UNANIMOUS A.I.: COMPANY SNAPSHOT 60
TABLE 36 AXONAI: COMPANY SNAPSHOT 62
TABLE 37 SWARM TECHNOLOGY: COMPANY SNAPSHOT 63
TABLE 38 SSI SCH-FER - FRITZ SCH-FER: COMPANY SNAPSHOT 65
TABLE 39 VALUTICO: COMPANY SNAPSHOT 66
TABLE 40 ENSWARM: COMPANY SNAPSHOT 67
TABLE 41 POWER-BLOX: COMPANY SNAPSHOT 69

 

LIST OF FIGURES

FIGURE 1 SWARM INTELLIGENCE MARKET SEGMENTATION 11
FIGURE 2 RESEARCH DESIGN 13
FIGURE 3 PROCESS FLOW 16
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 17
FIGURE 5 DATA TRIANGULATION 18
FIGURE 6 ASSUMPTIONS FOR RESEARCH STUDY 19
FIGURE 7 OPTIMIZATION TO HOLD LARGEST SHARE OF SWARM INTELLIGENCE MARKET FOR CAPABILITIES DURING FORECAST PERIOD 20
FIGURE 8 ANT COLONY OPTIMIZATION TO HOLD LARGEST SIZE OF SWARM INTELLIGENCE MARKET BY 2030 21
FIGURE 9 SWARM INTELLIGENCE MARKET FOR DRONES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 22
FIGURE 10 SWARM INTELLIGENCE MARKET IN ROW TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 22
FIGURE 11 HUMAN SWARMING AND ROBOTICS APPLICATIONS WOULD INCREASE DEMAND FOR SWARM INTELLIGENCE DURING FORECAST PERIOD 24
FIGURE 12 ANT COLONY OPTIMIZATION EXPECTED TO LEAD SWARM INTELLIGENCE MARKET FOR ROBOTICS DURING FORECAST PERIOD 24
FIGURE 13 ROBOTICS APPLICATION AND APAC REGION EXPECTED TO HOLD LARGEST SHARE OF SWARM INTELLIGENCE MARKET BY 2020 25
FIGURE 14 SWARM INTELLIGENCE MARKET IN ROW EXPECTED TO GROW AT HIGHEST CAGR BETWEEN 2020 AND 2030 26
FIGURE 15 SWARM INTELLIGENCE MARKET FOR DRONES TO GROW AT HIGHEST CAGR BETWEEN 2020 AND 2030 26
FIGURE 16 RISING ADOPTION OF SWARM BASED DRONES IN MILITARY EXPECTED TO SPUR GROWTH OF SWARM INTELLIGENCE MARKET 27
FIGURE 17 SWARM INTELLIGENCE MARKET: GEOGRAPHIC SNAPSHOT 51
FIGURE 18 COMPETITIVE BENCHMARKING 56

 

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