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Machine Learning - Israel

Israel
  • The market size in the Machine Learning market is projected to reach US$532.39m in 2025.
  • The market size is expected to show an annual growth rate (CAGR 2025-2031) of 32.03%, resulting in a market volume of US$2.82bn by 2031.
  • In global comparison, the largest market size will be United States (US$30.62bn in 2025).

Value

Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.

Most recent update: Mar 2024

Market Size

Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Mar 2025

Source: Statista Market Insights

Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Mar 2025

Source: Statista Market Insights

Analyst Opinion

The Artificial Intelligence Market in Israel is witnessing exceptional growth, propelled by factors such as the surge in demand for machine learning solutions, increasing awareness about the benefits of AI, and the convenience of online services. With an extraordinary growth rate, this market is being driven by innovative startups and government initiatives to promote AI adoption.

Customer preferences:
With the rise of the Machine Learning Market within the Artificial Intelligence Market in Israel, there has been a growing demand for personalized and efficient solutions in various industries. This has led to a shift towards the use of AI-powered chatbots for customer service and virtual assistants for daily tasks. Additionally, there is a growing interest in using AI for predictive maintenance and quality control in manufacturing processes. These trends are driven by the desire for cost-effective and accurate solutions, and the cultural emphasis on innovation and technological advancement in Israel.

Trends in the market:
In Israel, the Machine Learning market is experiencing a surge in adoption across industries such as healthcare, finance, and retail. This is driven by the availability of top talent and government support for AI development. As businesses increasingly use data-driven decision making, the demand for machine learning solutions is expected to continue growing. This trend has significant implications for industry stakeholders, as it presents opportunities for innovation and efficiency gains. It also highlights the need for ongoing investment in research and development to stay competitive in the rapidly evolving AI landscape.

Local special circumstances:
In Israel, the Machine Learning Market within the Artificial Intelligence Market is thriving due to the country's strong focus on technology and innovation. The government's support for startups and the presence of top universities have created a favorable environment for the development of AI and machine learning technologies. Additionally, Israel's small size and close-knit tech community have fostered a collaborative and innovative culture, leading to a high concentration of AI startups and talent. This unique ecosystem has propelled Israel to become one of the leading players in the global AI market.

Underlying macroeconomic factors:
The Machine Learning Market within the Artificial Intelligence Market in Israel is strongly influenced by macroeconomic factors such as technological advancements, government support, and investment in research and development. Israel's strong technology ecosystem, with a highly skilled workforce and favorable government policies, has contributed to the country's position as a global leader in AI and Machine Learning. Additionally, the growing demand for innovative solutions in various industries, such as healthcare, finance, and retail, is driving the growth of the market. The country's stable economic conditions and focus on fostering innovation and entrepreneurship also bode well for the future growth of the Machine Learning Market in Israel.

Global Comparison

Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Mar 2025

Source: Statista Market Insights

Methodology

Data coverage: The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the funding values from different industries for the market.

Modeling approach / Market size:Market sizes are determined through a top-down approach with a bottom-up validation, building on a specific rationale for each market. As a basis for evaluating markets, we use annual financial reports, funding data, and third-party data. In addition, we use relevant key market indicators and data from country-specific associations such as GDP, number of internet users, number of secure internet servers, and internet penetration. This data helps us estimate the market size for each country individually.

Forecasts:In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing are well suited to forecast digital products and services due to the non-linear growth of technology adoption. The main drivers are the level of digitalization, the number of secure internet servers, and the revenue of the Public Cloud market.

Additional Notes: The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russian-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the market is updated on an ad-hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is weighted for representativeness.

Technology

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Key Market Indicators

Notes: Based on data from IMF, World Bank, UN and Eurostat

Most recent update: Jan 2025

Source: Statista Market Insights

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