MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET 2019-2027

ICT | AI and IoT

MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET 2019-2027

Market By Deployment Mode, Organization Size, Service And End-user | Forecast 2019-2027

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As per a Triton research report, the Middle East and Africa market for machine learning is set to surge with a CAGR of 32.30% during the forecast years between 2019 and 2027.

The countries analyzed in the report on the Middle East and Africa’s machine learning market are:

•           Turkey

•           Saudi Arabia

•           South Africa

•           The United Arab Emirates

•           Rest of MEA

The enhanced efforts by the government, such as investments in AI, as well as innovation – such as the launch of a humanoid robot based on ML algorithms, in Saudi Arabia – are driving the growth of the Middle East and Africa machine learning market.

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In the United Arab Emirates, the education, healthcare, aviation and oil & gas sectors are planning to integrate cognitive systems & AI in their operations. The central government in the UAE announced investing around $600 million for the development and innovation in the field of artificial intelligence in the country. In the year 2017, the central government, in 2017, launched an artificial strategy aimed at creating new innovations in the AI sector. It consists of a framework and plans to make investments in advanced technologies for the implementation of artificial intelligence tools like machine learning in the government sectors of healthcare and transportation.

In the year 2017, the Government of Saudi Arabia provided citizenship to a humanoid robot. This was the first such instance in the world, wherein, a country provided citizenship to a machine learning-based artificial intelligence device. All these factors are fueling the deployment and adoption of the market for machine learning in the Middle East and Africa.

International Business Machines Corporation is an integrated IT company that offers delivery & implementation services, consulting services, cloud & cognitive offerings, financing solutions and enterprise software systems. It caters to the communications, industrial, financial services and distribution business.

The company has a huge research & development facility and in 2016, it made investments close to $6 billion for R&D purposes, focusing on high-growth and high-value opportunities for the machine learning market. The rapid adoption of ML-powered solutions, due to their early implementation in the majority of verticals such as banking, financial services and insurance sectors, would create an opportunistic market for IBM in the coming years. IBM operates across the regions of the Americas, Europe, the Asia-Pacific, the Middle East and Africa.

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Table of Content

1.    MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET - SUMMARY

2.    INDUSTRY OUTLOOK

2.1. MARKET DEFINITION

2.2. EVOLUTION & TRANSITION OF MACHINE LEARNING

2.3. KEY INSIGHTS

2.3.1. RISE IN IMPLEMENTATION OF DATA-DRIVEN APPLICATIONS

2.3.2. AUGMENTED DEMAND FOR INTELLIGENT BUSINESS PROCESSES

2.3.3. MACHINE LEARNING START-UPS TRANSFORMING THE INDUSTRY

2.4. PORTER’S FIVE FORCES ANALYSIS

2.4.1. BARGAINING POWER OF BUYERS

2.4.2. BARGAINING POWER OF SUPPLIERS

2.4.3. THREAT OF NEW ENTRANTS

2.4.4. THREAT OF SUBSTITUTE

2.4.5. THREAT OF COMPETITIVE RIVALRY

2.5. KEY IMPACT ANALYSIS

2.5.1. COST

2.5.2. APPLICATION

2.5.3. SCALABILITY

2.5.4. TRAINING TIME

2.6. MARKET ATTRACTIVENESS INDEX

2.7. VENDOR SCORECARD

2.8. INDUSTRY COMPONENTS

2.8.1. SOFTWARE DEVELOPMENT

2.8.2. CLOUD

2.8.3. USERS

2.9. PATENT ANALYSIS

2.10.            MARKET DRIVERS

2.10.1. EXPANDING DATA VOLUME ACROSS THE WORLD

2.10.2. WIDENING APPLICATION OF ML IN DIFFERENT END-USE INDUSTRIES

2.10.3. SIGNIFICANT DEVELOPMENTS IN THE FIELD OF MACHINE LEARNING

2.11.            MARKET RESTRAINTS

2.11.1. DIFFICULTIES IN PROTECTING SENSITIVE & PRIVATE DATA

2.11.2. COMPONENTS’ FAILURE MAY DISRUPT ML SERVICE

2.12.            MARKET OPPORTUNITIES

2.12.1. INCORPORATION OF ARTIFICIAL INTELLIGENCE & MACHINE LEARNING WITH BIG DATA

2.12.2. DEVELOPMENT OF SMART ROBOTS

2.12.3. INCREASING ADOPTION OF IoT-CONNECTED DEVICES

2.13.            MARKET CHALLENGES

2.13.1. TECHNOLOGICAL & COMPUTATIONAL BARRIERS

3.    MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET OUTLOOK - BY DEPLOYMENT MODE

3.1. CLOUD

3.2. ON-PREMISES

4.    MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET OUTLOOK - BY ORGANIZATION SIZE

4.1. LARGE ENTERPRISES

4.2. SMALL & MEDIUM-SIZED ENTERPRISES (SMEs)

5.    MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET OUTLOOK - BY SERVICE

5.1. PROFESSIONAL SERVICES

5.2. MANAGED SERVICES

6.    MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET OUTLOOK - BY END-USER

6.1. BANKING, FINANCIAL SERVICES & INSURANCE (BFSI)

6.2. HEALTHCARE & LIFE SCIENCES

6.3. RETAIL

6.4. TELECOMMUNICATION

6.5. GOVERNMENT & DEFENSE

6.6. MANUFACTURING

6.7. MEDIA & ADVERTISING

6.8. ENERGY & UTILITIES

6.9. OTHER END-USERS

7.    MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET - REGIONAL OUTLOOK

7.1. UNITED ARAB EMIRATES

7.2. TURKEY

7.3. SAUDI ARABIA

7.4. SOUTH AFRICA

7.5. REST OF MIDDLE EAST & AFRICA

8.    COMPETITIVE LANDSCAPE

8.1. TIBCO SOFTWARE, INC.

8.2. SAP SE

8.3. ORACLE CORPORATION

8.4. TERADATA CORPORATION

8.5. AMAZON WEB SERVICES, INC.

8.6. MICROSOFT CORPORATION

8.7. INTEL CORPORATION

8.8. FRACTAL ANALYTICS

8.9. GOOGLE, INC.

8.10.            BAIDU, INC.

8.11.            FAIR ISAAC CORPORATION (FICO)

8.12.            IBM CORPORATION (INTERNATIONAL BUSINESS MACHINES)

8.13.            HEWLETT PACKARD ENTERPRISE COMPANY (HPE)

8.14.            DELL TECHNOLOGIES, INC.

8.15.            CLARIVATE ANALYTICS LLC (TRADEMARKVISION)

9.    RESEARCH METHODOLOGY & SCOPE

9.1. RESEARCH SCOPE & DELIVERABLES

9.2. SOURCES OF DATA

9.3. RESEARCH METHODOLOGY

List of table

TABLE 1: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)

TABLE 2: EVOLUTION & TRANSITION OF MACHINE LEARNING

TABLE 3: LIST OF PROMINENT START-UPS IN MACHINE LEARNING

TABLE 4: VENDOR SCORECARD

TABLE 5: PATENTS FILLED IN MACHINE LEARNING BY KEY TECHNOLOGY COMPANIES, 2018

TABLE 6: TOP 20 FIRST PATENT FILERS IN MACHINE LEARNING IN 2016

TABLE 7: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY DEPLOYMENT MODE, 2019-2027 (IN $ MILLION)

TABLE 8: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY ORGANIZATION SIZE, 2019-2027 (IN $ MILLION)

TABLE 9: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY SERVICE, 2019-2027 (IN $ MILLION)

TABLE 10: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY END-USER, 2019-2027 (IN $ MILLION)

TABLE 11: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)

List of Figures

FIGURE 1: KEY BUYING IMPACT ANALYSIS

FIGURE 2: MARKET ATTRACTIVENESS INDEX

FIGURE 3: INDUSTRY COMPONENTS

FIGURE 4: VOLUME OF DATA CREATED WORLDWIDE, 2010-2025 (IN ZETTABYTES)

FIGURE 5: NUMBER OF CONNECTED DEVICES WORLDWIDE, 2015-2025

FIGURE 6: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY CLOUD, 2019-2027 (IN $ MILLION)

FIGURE 7: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY ON-PREMISES, 2019-2027 (IN $ MILLION)

FIGURE 8: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY LARGE ENTERPRISES, 2019-2027 (IN $ MILLION)

FIGURE 9: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY SMALL & MEDIUM-SIZED ENTERPRISES (SMEs), 2019-2027 (IN $ MILLION)

FIGURE 10: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY PROFESSIONAL SERVICES, 2019-2027 (IN $ MILLION)

FIGURE 11: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY MANAGED SERVICES, 2019-2027 (IN $ MILLION)

FIGURE 12: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY BANKING, FINANCIAL SERVICES & INSURANCE (BFSI), 2019-2027 (IN $ MILLION)

FIGURE 13: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY HEALTHCARE & LIFE SCIENCES, 2019-2027 (IN $ MILLION)

FIGURE 14: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY RETAIL, 2019-2027 (IN $ MILLION)

FIGURE 15: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY TELECOMMUNICATION, 2019-2027 (IN $ MILLION)

FIGURE 16: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY GOVERNMENT & DEFENSE, 2019-2027 (IN $ MILLION)

FIGURE 17: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY MANUFACTURING, 2019-2027 (IN $ MILLION)

FIGURE 18: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY MEDIA & ADVERTISING, 2019-2027 (IN $ MILLION)

FIGURE 19: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY ENERGY & UTILITIES, 2019-2027 (IN $ MILLION)

FIGURE 20: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, BY OTHER END-USERS, 2019-2027 (IN $ MILLION)

FIGURE 21: MIDDLE EAST AND AFRICA MACHINE LEARNING MARKET, REGIONAL OUTLOOK, 2018 & 2027 (IN %)

FIGURE 22: UNITED ARAB EMIRATES MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 23: TURKEY MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 24: SAUDI ARABIA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 25: SOUTH AFRICA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 26: REST OF MIDDLE EAST & AFRICA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

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