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Saudi Arabia Big Data and Artificial Intelligence Market Report and Forecast 2024-2032

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    Report

  • 209 Pages
  • July 2024
  • Region: Saudi Arabia
  • Expert Market Research
  • ID: 5990258
According to the report, the Saudi Arabia big data and artificial intelligence market size reached approximately USD 1.30 billion in 2023. Aided by government initiatives and the increasing adoption of advanced technologies in different sectors, the market is projected to grow at a CAGR of 29.8% between 2024 and 2032, reaching a value of around USD 13.58 billion by 2032.

Big data and artificial intelligence (AI) are two transformative technologies that are reshaping various industries and driving innovation in unprecedented ways. While they are distinct in their functions, they are often used in tandem to harness the full potential of data-driven insights and intelligent automation.

Big Data refers to extremely large and complex datasets that traditional data processing tools cannot handle effectively. These datasets are characterised by the three Vs: Volume, Variety, and Velocity. Artificial Intelligence refers to the simulation of human intelligence processes by machines, especially computer systems.

The Saudi Arabia big data and artificial intelligence market is experiencing rapid growth, driven by a combination of governmental initiatives, technological advancements, and increasing adoption across various sectors. This section delves into the various trends shaping the market, providing a comprehensive overview of the current landscape and future potential of Big Data and AI in Saudi Arabia.

One of the most significant Saudi Arabia big data and artificial intelligence market trends is the government's Vision 2030 initiative. This ambitious plan aims to diversify the economy, reduce dependence on oil, and develop key sectors such as healthcare, education, and technology. As part of Vision 2030, the Saudi government is heavily investing in digital transformation projects, smart cities, and AI-driven solutions to enhance public services and boost economic growth. The establishment of the Saudi Data and Artificial Intelligence Authority (SDAIA) underscores the government's commitment to positioning the Kingdom as a global leader in AI and data science.

Big data and AI technologies are being increasingly adopted across various sectors in Saudi Arabia, including healthcare, finance, retail, and transportation. In healthcare, AI-powered solutions are being used for predictive analytics, personalised medicine, and efficient patient management. The finance sector is leveraging AI for fraud detection, risk management, and customer service automation. In retail, big data analytics help businesses understand consumer behaviour, optimise supply chains, and enhance customer experiences. The transportation sector is also benefiting from AI-driven solutions for traffic management, route optimisation, and autonomous vehicle development.

The development of smart cities is a key component of Saudi Arabia's Vision 2030, with significant investments being made in building advanced digital infrastructure. Projects like NEOM, a futuristic mega-city, are at the forefront of integrating AI and big data to create sustainable and intelligent urban environments. These smart cities are expected to propel the Saudi Arabia big data and artificial intelligence market growth. The emphasis on smart city development is driving demand for AI and big data solutions, fostering innovation, and attracting international tech companies to the Saudi market.

Saudi Arabia is increasingly focusing on AI research and development (R&D) to foster innovation and create a robust ecosystem for technological advancements. Universities and research institutions are collaborating with international partners to advance AI technologies and applications. The establishment of AI research centres and partnerships with leading global tech companies are facilitating knowledge transfer and capacity building. These efforts are aimed at developing homegrown AI talent and solutions that can address local challenges and contribute to global AI advancements.

The Saudi Arabia big data and artificial intelligence market is witnessing a surge in investments from both the public and private sectors. Venture capital firms and government-backed funds are actively investing in AI startups and technology companies. This influx of capital is fuelling innovation and enabling startups to develop cutting-edge AI solutions. The growth of the startup ecosystem is further supported by initiatives such as business incubators, accelerators, and tech hubs, which provide mentorship, funding, and resources to budding entrepreneurs. This vibrant startup ecosystem is playing a crucial role in driving the adoption and development of AI and big data technologies in the Kingdom.

To sustain the Saudi Arabia big data and artificial intelligence market growth, the country is placing a strong emphasis on workforce development and education. The government and private sector are investing in upskilling and reskilling programs to equip the workforce with the necessary skills for the digital age. Universities and educational institutions are introducing specialised courses and degree programs in AI, data science, and related fields. Additionally, international collaborations and partnerships with leading tech companies are providing training and certification programs to enhance the technical expertise of the Saudi workforce.

As the adoption of AI and big data technologies accelerates, there is a growing focus on regulatory and ethical considerations. The Saudi government is working on developing comprehensive regulatory frameworks to ensure the responsible and ethical use of AI. Issues such as data privacy, security, and algorithmic transparency are being addressed to build public trust and confidence in AI solutions. The establishment of guidelines and standards for AI development and deployment is crucial for fostering a sustainable and inclusive AI ecosystem.

Despite the positive trends, the Saudi Arabia big data and artificial intelligence market development faces several challenges. These include the need for robust data infrastructure, addressing cybersecurity threats, and overcoming resistance to change in traditional industries. Additionally, the rapid pace of technological advancements necessitates continuous efforts in R&D and workforce development to stay competitive.

Looking ahead, the future of the Saudi Arabia big data and artificial intelligence market appears promising. The government's unwavering commitment to digital transformation, coupled with increasing investments and a thriving to startup ecosystem, is expected to drive sustained growth. The successful implementation of Vision 2030 initiatives will further accelerate the adoption of AI and big data technologies, positioning Saudi Arabia as a leading hub for innovation and technological excellence in the Middle East and beyond.

Market Segmentation

Saudi Arabia big data and artificial intelligence market can be divided based on component, technology, organisation size, and end use.

Market Breakup by Component

  • Hardware
  • Software
  • Service

Market Breakup by Technology

  • Deep Learning
  • Machine Learning
  • Natural Language Processing (NLP)
  • Machine Vision

Market Breakup by Organisation Size

  • SMEs
  • Large Enterprises

Market Breakup by EndUse

  • IT and Telecom
  • Retail
  • Public and Government Institutions
  • BFSI
  • Healthcare
  • Energy
  • Construction and Manufacturing
  • Others

Competitive Landscape

The report looks into the market shares, plant turnarounds, capacities, investments, and mergers and acquisitions, among other major developments, of the leading companies operating in the Saudi Arabia big data and artificial intelligence market. Some of the major players explored in the report are as follows:
  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • Intel Corporation
  • NVIDIA Corporation
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • IQVIA Inc.
  • NEC Corporation
  • SAS Institute Inc.
  • Others

Table of Contents

1 Preface2 Report Coverage - Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Market Snapshot7 Opportunities and Challenges in the Market
8 Global Big Data and Artificial Intelligence Market Overview
8.1 Key Industry Highlights
8.2 Global Big Data and Artificial Intelligence Historical Market (2018-2023)
8.3 Global Big Data and Artificial Intelligence Market Forecast (2024-2032)
8.4 Global Big Data and Artificial Intelligence Market Share by Region
8.4.1 North America
8.4.2 Europe
8.4.3 Asia Pacific
8.4.4 Latin America
8.4.5 Middle East and Africa
9 Saudi Arabia Big Data and Artificial Intelligence Market Analysis
9.1 Key Industry Highlights
9.2 Saudi Arabia Big Data and Artificial Intelligence Historical Market (2018-2023)
9.3 Saudi Arabia Big Data and Artificial Intelligence Market Forecast (2024-2032)
9.4 Saudi Arabia Big Data and Artificial Intelligence Market by Component
9.4.1 Hardware
9.4.1.1 Historical Trend (2018-2023)
9.4.1.2 Forecast Trend (2024-2032)
9.4.2 Software
9.4.2.1 Historical Trend (2018-2023)
9.4.2.2 Forecast Trend (2024-2032)
9.4.3 Service
9.4.3.1 Historical Trend (2018-2023)
9.4.3.2 Forecast Trend (2024-2032)
9.5 Saudi Arabia Big Data and Artificial Intelligence Market by Technology
9.5.1 Deep Learning
9.5.1.1 Historical Trend (2018-2023)
9.5.1.2 Forecast Trend (2024-2032)
9.5.2 Machine Learning
9.5.2.1 Historical Trend (2018-2023)
9.5.2.2 Forecast Trend (2024-2032)
9.5.3 Natural Language Processing (NLP)
9.5.3.1 Historical Trend (2018-2023)
9.5.3.2 Forecast Trend (2024-2032)
9.5.4 Machine Vision
9.5.4.1 Historical Trend (2018-2023)
9.5.4.2 Forecast Trend (2024-2032)
9.6 Saudi Arabia Big Data and Artificial Intelligence Market by Organisation Size
9.6.1 SMEs
9.6.1.1 Historical Trend (2018-2023)
9.6.1.2 Forecast Trend (2024-2032)
9.6.2 Large Enterprises
9.6.2.1 Historical Trend (2018-2023)
9.6.2.2 Forecast Trend (2024-2032)
9.7 Saudi Arabia Big Data and Artificial Intelligence Market by End Use
9.7.1 IT and Telecom
9.7.1.1 Historical Trend (2018-2023)
9.7.1.2 Forecast Trend (2024-2032)
9.7.2 Retail
9.7.2.1 Historical Trend (2018-2023)
9.7.2.2 Forecast Trend (2024-2032)
9.7.3 Public and Government Institutions
9.7.3.1 Historical Trend (2018-2023)
9.7.3.2 Forecast Trend (2024-2032)
9.7.4 BFSI
9.7.4.1 Historical Trend (2018-2023)
9.7.4.2 Forecast Trend (2024-2032)
9.7.5 Healthcare
9.7.5.1 Historical Trend (2018-2023)
9.7.5.2 Forecast Trend (2024-2032)
9.7.6 Energy
9.7.6.1 Historical Trend (2018-2023)
9.7.6.2 Forecast Trend (2024-2032)
9.7.7 Construction and Manufacturing
9.7.7.1 Historical Trend (2018-2023)
9.7.7.2 Forecast Trend (2024-2032)
9.7.8 Others
10 Market Dynamics
10.1 SWOT Analysis
10.1.1 Strengths
10.1.2 Weaknesses
10.1.3 Opportunities
10.1.4 Threats
10.2 Porter’s Five Forces Analysis
10.2.1 Supplier’s Power
10.2.2 Buyer’s Power
10.2.3 Threat of New Entrants
10.2.4 Degree of Rivalry
10.2.5 Threat of Substitutes
10.3 Key Indicators for Demand
10.4 Key Indicators for Price
11 Competitive Landscape
11.1 Market Structure
11.2 Company Profiles
11.2.1 Microsoft Corporation
11.2.1.1 Company Overview
11.2.1.2 Product Portfolio
11.2.1.3 Demographic Reach and Achievements
11.2.1.4 Certifications
11.2.2 Amazon Web Services, Inc.
11.2.2.1 Company Overview
11.2.2.2 Product Portfolio
11.2.2.3 Demographic Reach and Achievements
11.2.2.4 Certifications
11.2.3 Intel Corporation
11.2.3.1 Company Overview
11.2.3.2 Product Portfolio
11.2.3.3 Demographic Reach and Achievements
11.2.3.4 Certifications
11.2.4 NVIDIA Corporation
11.2.4.1 Company Overview
11.2.4.2 Product Portfolio
11.2.4.3 Demographic Reach and Achievements
11.2.4.4 Certifications
11.2.5 IBM Corporation
11.2.5.1 Company Overview
11.2.5.2 Product Portfolio
11.2.5.3 Demographic Reach and Achievements
11.2.5.4 Certifications
11.2.6 Oracle Corporation
11.2.6.1 Company Overview
11.2.6.2 Product Portfolio
11.2.6.3 Demographic Reach and Achievements
11.2.6.4 Certifications
11.2.7 SAP SE
11.2.7.1 Company Overview
11.2.7.2 Product Portfolio
11.2.7.3 Demographic Reach and Achievements
11.2.7.4 Certifications
11.2.8 IQVIA Inc.
11.2.8.1 Company Overview
11.2.8.2 Product Portfolio
11.2.8.3 Demographic Reach and Achievements
11.2.8.4 Certifications
11.2.9 NEC Corporation
11.2.9.1 Company Overview
11.2.9.2 Product Portfolio
11.2.9.3 Demographic Reach and Achievements
11.2.9.4 Certifications
11.2.10 SAS Institute Inc.
11.2.10.1 Company Overview
11.2.10.2 Product Portfolio
11.2.10.3 Demographic Reach and Achievements
11.2.10.4 Certifications
11.2.11 Others
12 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global Big Data and Artificial Intelligence Market: Key Industry Highlights, 2018 and 2032
2. Saudi Arabia Big Data and Artificial Intelligence Market: Key Industry Highlights, 2018 and 2032
3. Saudi Arabia Big Data and Artificial Intelligence Historical Market: Breakup by Component (USD Billion), 2018-2023
4. Saudi Arabia Big Data and Artificial Intelligence Market Forecast: Breakup by Component (USD Billion), 2024-2032
5. Saudi Arabia Big Data and Artificial Intelligence Historical Market: Breakup by Technology (USD Billion), 2018-2023
6. Saudi Arabia Big Data and Artificial Intelligence Market Forecast: Breakup by Technology (USD Billion), 2024-2032
7. Saudi Arabia Big Data and Artificial Intelligence Historical Market: Breakup by Organisation Size (USD Billion), 2018-2023
8. Saudi Arabia Big Data and Artificial Intelligence Market Forecast: Breakup Organisation Size (USD Billion), 2024-2032
9. Saudi Arabia Big Data and Artificial Intelligence Historical Market: Breakup by End Use (USD Billion), 2018-2023
10. Saudi Arabia Big Data and Artificial Intelligence Market Forecast: Breakup by End Use (USD Billion), 2024-2032
11. Saudi Arabia Big Data and Artificial Intelligence Market Structure

Companies Mentioned

  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • Intel Corporation
  • NVIDIA Corporation
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • IQVIA Inc.
  • NEC Corporation
  • SAS Institute Inc.

Methodology

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Table Information