Artficial Intelligence in Logistics: Global Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2023

  • Product Code:
    RP-ID-10078065
  • Published Date:
    Mar 2019
  • Region:
    Global
  • Pages:
    71
  • Category:
    Automotive & Transportation
  • Publisher:
    Infoholic Research
Overview:
The logistics vertical is undergoing a fundamental transformation with the increase in the amount of data and the number of devices utilized, reduction in costs to maintain the competitiveness, and urge to maintain the required stock levels, (staged and in-transit) to ensure on time delivery and shortages. All this requires some level of automation in the supply chain to allow for timely decision making.
Artificial Intelligence is in a nascent stage in logistics but is expected to grow at a rapid pace. It is expected to remould the logistics industry with high level of automation in manufacturing, logistics, warehousing and last mile delivery. Machine and human collaboration will enable smart order picking in logistics and smart glasses will enable smart hands-free operations. Automated vehicles and drones are expected to change the paradigm of the logistics industry.
Market Analysis:
The companies are increasingly testing Artficial Intelligence in Logistics to improve on the last mile delivery, reduce the time to go to market, and provide for the required customization to customers. As per Infoholic Research, the Artificial Intelligence market in logistics is predicted to grow at a CAGR of 42.9% over 2017-2023 to reach $6.5 billion by 2023.
The market is analysed by application, vertical, region, and mode of transport.
Market Segmentation Analysis:
The market has been segmented on the basis of applications in logistics including automation of processes, planning and forecasting, machine and human collaboration, self driven forklifts, self driven vehicles, etc. Self driven vehicles and self driven forklifts occupy the maximum share at present and autonomous vehicles are expcted to gain maximum traction in future.
On the baisis of modes of transport, roadways is expected to embrace AI the maxium, followed by railways, seaways, and airways.
Countries and Vertical Analysis:
The counties covered in report are US, Canada, UK, Germany, France, Nordics, Benelux, China, India. Among these US and China are expected to grow at a higher CAGR through the forecast period 2017-2023. The popular use case/verticals for the AI in logistics are food, pharma, retail, manufacturing, automotive, and others. Several logistics palyers are testing these technologies to gain an upper edge in the market and improve on the last mile delivery.
Benefits and Vendors
The report contains an in-depth analysis of vendor profiles, which include financial health, business units, key business priorities, SWOT, strategy, and views; and competitive landscape. Companies analysed in the report are Amazon, Google, IBM, and Microsoft. Apart from that several start ups that are focussing specifically on AI in logistics have been analysed.
The study offers a comprehensive analysis of the “AI in Logistics”. Bringing out the complete key insights of the industry, the report aims to provide an opportunity for players to understand the latest trends, current market scenario, government initiatives, and technologies related to the market. In addition, it helps the venture capitalist in understanding the companies better and take informed decisions.
1 Industry Outlook 10
1.1 Industry Overview 10
1.2 Industry Trends 10
2 Report Outline 12
2.1 Report Scope 12
2.2 Report Summary 13
2.3 Research Methodology 14
2.4 Report Assumptions 14
3 Market Snapshot 15
3.1 Total Addressable Market (TAM) 15
3.2 Segmented Addressable Market (SAM) 15
3.3 Related Markets 15
4 Market Outlook 16
4.1 Overview 16
4.2 Regulatory Bodies & Standards 16
4.3 Government Spending and Initiatives 16
4.4 Porter 5 (Five) Forces 17
5 Market Characteristics 18
5.1 Market Segmentation 18
5.2 Market Dynamics 18
5.2.1 Drivers 19
5.2.1.1 Need for on-time deliveries and instant go to market timings 19
5.2.1.2 Growing demand for convenience and safety 20
5.2.1.3 Increased acceptance and implementation of autonomous vehicles 20
5.2.1.4 Digitization of logistics leading to hyper customization 20
5.2.2 Restraints 20
5.2.2.1 Compliance with privacy and data security regulations 20
5.2.2.2 Increased automation will lead to job losses and can create social tensions 20
5.2.2.3 Shortage of industry standards 21
5.2.3 Opportunities 21
5.2.3.1 Growing amount of data in logistics 21
5.2.3.2 5.2.3.2 Growth of assisted driving 21
5.3 DRO – Impact Analysis 22
6 Trends, Roadmap, and Projects 23
6.1 Market Trends & Impact 23
6.1.1 Cloud Hosted Intelligence 23
6.1.2 Growing Demand for Customization 23
6.1.3 Multiple collaborations across the supply chain 23
6.2 Technology Roadmap 24
7 AI in Logistics Market by Application: Market Size & Analysis 25
7.1 Overview 25
7.2 Automation of Ordering and Processing 25
7.3 Planning and Forecasting 26
7.4 Machine and Human Collaboration 26
7.5 Self-driving Vehicles 27
7.6 Self-driving Forklifts 28
7.7 Others 28
8 Logistics by Verticals: Market Size & Analysis 30
8.1 Overview 30
8.2 Food 30
8.3 Pharma 31
8.4 Retail 32
8.5 Manufacturing 32
8.6 Automotive 33
8.7 Others 34
9 Geography: Market Size & Analysis 35
9.1 North America 35
9.1.1 US 36
9.1.2 Canada 36
9.2 Europe 37
9.2.1 Overview 37
9.2.2 UK 38
9.2.3 Germany 39
9.2.4 France 39
9.2.5 Nordics 40
9.2.6 Benelux 41
9.2.7 Rest of Europe 41
9.3 Asia Pacific 42
9.3.1 Overview 42
9.3.2 China 43
9.3.3 India 44
9.3.4 Rest of APAC 44
9.4 Latin America 45
9.5 Middle East & Africa 46
10 Mode of Transport: Market Size & Analysis 47
10.1 Overview 47
10.2 Roadways 47
10.3 Railways 48
10.4 Seaways 48
10.5 Airways 49
11 Vendor Profile 50
11.1 IBM 50
11.1.1 Overview 50
11.1.2 Business Unit 51
11.1.3 Business Segments 52
11.1.4 Financial Performance 52
11.1.5 Geographic Revenue 53
11.1.6 IBM and AI in Logistics Market 53
11.1.7 SWOT Analysis 54
11.1.8 Business Strategies 54
11.2 Google 54
11.2.1 Overview 54
11.2.2 Business Unit 56
11.2.3 Business Segments 56
11.2.4 Financial Performance 56
11.2.5 Geographic Revenue 57
11.2.6 Google and AI in Logistics 57
11.2.7 SWOT Analysis 58
11.2.8 Business Strategies 58
11.3 Microsoft 58
11.3.1 Overview 58
11.3.2 Business Unit 60
11.3.3 Business Segments 60
11.3.4 Financial Performance 60
11.3.5 Geographic Revenue 61
11.3.6 Microsoft and AI in Logistics 61
11.3.7 SWOT Analysis 62
11.3.8 Business Strategies 62
11.4 Amazon 62
11.4.1 Overview 62
11.4.2 Business Units 63
11.4.3 Financial Performance 64
11.4.4 Geographic Revenue 64
11.4.5 Amazon and AI in Logistics 64
11.4.6 SWOT Analysis 65
11.4.7 Business Strategies 65
12 Companies to Watch for 66
12.1 TransVoyant 66
12.1.1 Overview 66
12.1.2 AI Offerings 66
12.2 ActiveScalar 66
12.2.1 Overview 66
12.2.2 AI Offerings 66
12.3 Pluto 7 67
12.3.1 Overview 67
12.3.2 AI Offerings 67
12.4 Yojee 67
12.4.1 Overview 67
12.4.2 AI Offerings 68
12.5 Teknowlogi 68
12.5.1 Overview 68
12.5.2 AI Offerings 68
13 Expert’s Views 69
Annexure 70
 Abbreviations 70

Please enter your personal details below
*
I want to buy this report
I am willing to know the scope of research
I have customized query over this report
Amazon, Google, IBM, and Microsoft
Please enter your personal details below
*
I want to buy this report
I am willing to know the scope of research
I have customized query over this report

Related Reports