The Middle East & Africa artificial intelligence in manufacturing & supply chain market was valued at USD XX billion in 2016 and is projected to reach USD XX billion by 2022, registering a CAGR of XX%, during 2017-2022 (the forecast period).
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Artificial Intelligence (AI) is one of the most exciting technologies of the 21st century and has been the subject of debate across various business sectors. AI has several industrial applications where production plants can operate without human supervision.
The machinery and equipment that are AI-enabled can function by acquiring human intelligence abilities. Supply chains in manufacturing are quickly adapting AI technologies as part of their digitization strategies.
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AI in supply chains helps in organizing and analyzing data, which helps decision-making problems, ranging from logistics to warehousing. Such AI-enabled applications in the manufacturing industry are expected to improve efficiency and aid saving of time.
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A recent survey suggests that 85% of the major corporations have pledged to adapt digital operations in their supply chains during the next year. Hence, AI is gaining popularity in the industry and is expected to benefit supply chain networks, in particular, by enabling the effective movement of goods from one point to another.
AI has been an area of major attraction for startups across the world. Several small-scale enterprises have been on the rise in this industry, which have reportedly raised a total funding of USD 5 billion in 2016.
North America is leading the market with its merger-and-acquisition activities and big companies like Google, Apple, IBM, Intel and Salesforce are acquiring startups to have access to latest technologies. In 2016, Ford Motor Company had acquired an Israeli machine learning & computer vision corporation, SAIPS, in order to improve its driverless car systems.
The sales and marketing segments of the manufacturing industry are expected to benefit with AI by witnessing 20% forecast error reduction. Companies’ requirement to improve their sales is expected to significantly drive the market for AI in manufacturing & supply chains, during the forecast period.
Demand for efficiency, time and cost savings in the manufacturing industry are driving the market for AI. However, lack of proper regulations along with the reliability issues of AI are expected to restrict the market growth.
AI in the manufacturing & supply chain market is expected to thrive as the manufacturing industry across all regions is looking to improve its operations by adapting new tools and techniques with future technological advancements. Public/Private investments and policies favoring AI advancements in manufacturing are discussed in the report.
The companies dominating this market with their investments, research activities and product developments are listed in the report.
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Scope of the Report:
- Middle East & Africa Artificial Intelligence in Manufacturing & Supply Chain Market Analysis, by Application
- Robotics & Factory Automation
- Planning & Market Demand Forecast
- Commerce & Financial data
- Cyber Security
- Customer service
Middle East & Africa Artificial Intelligence in Manufacturing & Supply Chain Market Analysis, by Type
- Others Services
Middle East & Africa Artificial Intelligence in Manufacturing & Supply Chain Market Analysis, by Function
Middle East & Africa Artificial Intelligence in Manufacturing & Supply Chain Market Analysis, by End-user
- Building Construction
Middle East & Africa Artificial Intelligence in Manufacturing & Supply Chain Market Analysis, by Region
- Saudi Arabia
- South Africa
Company Profiles of Key Players & Investors (List not exhaustive)
- GE Ventures
- Bloomberg Beta
Key Deliverables in the Study
- Market Overview - market analysis and identification of key drivers, restraints and opportunities
- Major trends and economic outlook
- Supply chain analysis
- Porter’s five forces analysis
- A comprehensive summary of the industry sectors and regions poised for the fastest-growth
- Future outlook of the market
- Extensively researched competitive landscape section with profiles of major companies, along with their estimated market shares
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