AI Analytics Market Size, Share, Trends & Forecast by 2034

AI Analytics Market Outlook for 2024 to 2034

The AI analytics market is projected to register an exceptional CAGR of 22.60% during the forecast period, valued at US$ 29.11 billion in 2024, and is estimated to reach US$ 223.32 billion by 2034. The market is evolving due to the demand for analytics solutions helmed by technological improvements such as rapid speech and natural language processing.

Consumption Analysis of the AI Analytics Market

Recorded data availability, next-generation computing architectures, and learning and artificial intelligence (ANN) advancements propel innovation in various industries, including manufacturing, automotive, healthcare, and aerospace.
Digital technologies and internet promotions are propelling the AI analytics industry expansion, with tech giants investing in research and developing predictive analytics solutions for industry planning and development.
Analytical solutions such as SaaS provide integrated finance, resources, and project management solutions helmed by containerization, virtualization, and edge computing, boosting demand in the forthcoming decade.
Analytics solutions, such as SaaS and Google Analytics, are gaining traction due to their integration of project management, resource optimization, documented data comparison, compelling demand, and sales of AI analytics solutions.
Increased cloud-based investment by end-user organizations is anticipated to boost the growth of the AI analytics industry.

Attributes	Details
Market Value for 2024	US$ 29.11 billion
Market Value for 2034	US$ 223.32 billion
Market Forecast CAGR for 2024 to 2034	22.60%

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Historical Performance and Future Growth Prognosis of the AI Analytics Market

The demand for AI analytics is divined to develop at an impressive pace. The historical CAGR of 21.80% was recorded for the market and a 22.60% CAGR is calculated up to 2034.

Attributes	Details
Market Historical CAGR for 2019 to 2023	21.80%

The AI technology sector faces obstacles due to limited data availability, complex models, and the black box effect. The lack of AI talent in developing countries is also a significant impediment.

Acute aspects that are anticipated to influence the demand for analytics solutions through 2034 include:

Organizations need to promote data-sharing collaborations, invest in data collection and preprocessing, and establish industry-wide standards to improve data availability and quality.
Opportunities exist to develop demand for AI analytical solutions by devising chronological algorithms with updated data encryption protocols to protect against cyberattacks.
Introduction of analytical solutions framework and data privacy has paved the way for extending the AI sector.

Key Trends Influencing the AI Analytics Market

Analytical Solutions Derived from AI Help Streamlining Efforts in the BFSI Sector

In the BFSI sector, AI technology uses semantic and natural language applications for predictive analytics, detecting patterns in data that traditional technology couldn't, revealing untapped sales opportunities.
Globally, banks are embracing AI solutions to meet customer demands and expectations. Despite internal challenges such as legacy systems, data silos, asset quality, and limited budgets, banks are striving to become customer-centric, thus boosting the demand for AI analytics solutions.
Innovative AI and banking software development companies help streamline data collection and analysis in banking institutions, improving user experience, fraud detection, and credit decision-making. Thus a surge in demand for AI analytics is observed.

AI Analytics Industry Aid in Widespread Adoption of Virtual Workplaces

AI analytics guides personalized learning paths for job requirements, assessing current knowledge and suggesting roadmaps. It simplifies information search, acts as a smart librarian, and tracks progress, providing insights for adequate learning in the workplace. Thus, the demand for virtual workplaces is developed.
Technologies such as AI and VR are revolutionizing the workplace by promoting continuous learning and growth. This is also enhancing personal, effective, and enjoyable learning experiences, and creating a supportive working ecosystem.

Adoption of Data Analytics Helps in Widening Scope of Tourism Industry

Data analytics aids in accurate forecasting by analyzing documented booking data, seasonal patterns, and events, promoting tourism companies to optimize pricing strategies and minimize under-booking. Thus, AI resources for data analytics are getting a boost from the tourism sector.
Tourism industry adopts AI analytics to monitor social media channels, gauge customer sentiment, identify trends, and promptly address complaints, enhancing marketing and service strategies.

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Category-wise Insights

The following part offers in-depth analyses of sections of the AI analytics market. The demand for predictive analytics is significant whereas the demand for the tool from large enterprises is prominent in 2024.

Predictive Analytics Set to Record Almost 49% of Market Share

Attributes	Details
Top Analytics Type	Predictive Analytics
Market Share in 2024	49%

The demand for predictive analytics is expected to eat up 49% of the market share in 2024 due to augmented awareness of the vast amount of data generated for future events.

Increased internet usage and accessibility have led to a rise in data creation, enhancing business planning and decision-making, thereby boosting demand for predictive AI analytics solutions.

The E-commerce industry enhances customer experiences through social media marketing, consumer perception analysis, and real-time analytics for increased sales and personalized offers.

Smartphone usage has especially improved data volume, compelled by globalization, economic progress, and affordable high-speed internet services, resulting in increased AI output in various countries.

Corporate enterprises are anticipated to rapidly improve AI data generation due to the ease of data capture, with in-house teams of scientists and analysts handling internal and external data, boosting demand for predictive analytics.

Large Enterprises Cultivate Around 36.6% of Market Share

Attributes	Details
Top Enterprise Size	Large Enterprises (500 to 999 employees)
Market Share in 2024	36.6%

Large enterprises with 500-999 employees are increasingly utilizing AI analytics tools to improve labor productivity, with a market share of 36.6% anticipated in 2024, indicating that AI is envisioned to replace human workers but will not render the human workforce obsolete.

The global adoption of AI technologies in enterprises has more than doubled since 2017, with major Indian and Chinese companies leading the way, indicating promising future growth.

Country-wise Insights

Based on the data, industries in Germany and Japan are posited to develop positively but not extraordinarily in the upcoming decade. Simultaneously, the analytics solutions industries in the United States and China are hitting the roof. ANZ’s AI analytics sector is anticipated to climb sharply among these countries in the upcoming decade.

Countries	CAGR from 2024 to 2034
United States	19.50%
Germany	8.10%
China	23.10%
Japan	6.40%
Australia and New Zealand	26.10%

The United States Paves Way for Growth of AI Technology

The AI technology industry in the United States is witnessing a wave of change, with the market predicted to have a CAGR of 19.5% through 2034, with a focus on collaboration to improve AI technologies such as chatbots and machine learning platforms.

The development of artificial intelligence in diverse applications is anticipated to aid the growth of several market players in the United States.
The emerging tech startups in the United States are anticipated to revolutionize the analytics solutions industry.

Germany’s Automobile Industry Develops Demand for Big Data Analytics

Demand for AI data analytics solutions in Germany is estimated to develop at a CAGR of 8.1%. Automobile companies are developing rigid analytics solutions alongside the German government.

Germany-based technology firms are developing novel chatbots, digital payment advisors, and biometric fraud detection mechanisms for the betterment of the industry's platforms.
The progression of Germany's automobile industry demonstrates the betterment of software-operated driving simulations for vehicle improvements.

China’s BFSI Sector to Kickstart Novel Opportunities for AI Analytics

The demand for the analytics solution in China is anticipated to highlight a CAGR of 23.1% between 2024 and 2034. This is because China's developed banking, financial services, and insurance hubs standing on the grounds of rigid development of digital analytical solutions.

The government and companies are developing their nation's artificial intelligence to protect from emergent cyber threats and improve applications.
China's financial data protection operations follow a rigid infrastructure of analytical solutions derived from artificial intelligence and thus the market grows through the BFSI sector avenue.

Companies Advance Artificial Technology Capabilities in Japan

Japan's AI analytics demand is anticipated to extend by 6.4% CAGR from 2024 to 2034, manipulated by emerging AI solutions and analytical trends.

Several companies in Japan are foreseen to aid in the development of artificial intelligence with the help of cloud computing and other technologies.
The demand for artificial intelligence analytics solutions in Japan is significant as it advances businesses' technology research and development.

Australia and New Zealand’s AI Solution Industry to Shoot Up

The demand for artificial intelligence analytics in Australia and New Zealand is projected to grow at 26.1% CAGR through 2034.

The education technology sector of Australia and New Zealand is anticipated to thrive on the rigid infrastructure of the analytics solution system, which advances with artificial intelligence.
The development of the artificial intelligence sector in the ANZ region aids the demand for novel technologies such as cloud data backups, cloud storage, and machine learning.

Market Players Shaping the Outlook of the Global AI Analytics Market

The AI analytics market is segmented, with traditional tech giants and new start-ups accounting for a substantial footprint in the business environment. Market players are forming strategic mergers, acquisitions, joint ventures, and partnerships to ensure long-term market viability.

The artificial intelligence analytics market is encountering an elevated shift due to prompt technical refinements in machine learning algorithms, big data availability, and increasing computing power. Innovative AI analytics applications frequently materialize, disrupting existing enterprises and assembling new endeavors.

Leading players are engaging in high levels of merger and acquisition activity, helmed by the desire to access new AI technologies and talent, the need to consolidate in a rapidly growing market, and the increasing strategic importance of artificial intelligence.

Recent Developments in the AI Analytics Market

In April 2024, GIS, a field pioneered by Clark University, used satellite data to detect greenhouse gases, map polar ice, and quantify disaster impacts. AI is now being used to interpret this data, transforming scientific research and decision-making.
In March 2024, Helika, an AI-powered analytics firm, launched Helika Accelerate, an accelerator program backed by venture capital firms. The program aims to support studios in developing blockchain games and sustaining growth in users and revenue, guiding tokenomics, chain selection, data analytics, and marketing.
In March 2024, Searce and UBIX AI announced a strategic partnership to transform Google Cloud customers' AI and analytics landscape, advocating for migration from traditional platforms to open-source solutions. The partnership aims to democratize AI for every type of business.
In March 2024, AuditBoard introduced new AI, analytics, and annotation capabilities to enhance corporate risk, compliance, and assurance teams' collaboration, efficiency, and timely insights, enabling them to navigate dynamic market environments.
In December 2023, Indian IT firm Infosys developed an omnichannel digital analytics platform for Australia-based Spotlight Retail Group, enabling a hyper-personalized online shopping experience. The platform has led to a 113% customer base growth and a 93% transaction volume increase, enabling scalability and improved inventory management.

Key Companies in the AI Analytics Market

IBM
Microsoft
Google (Alphabet Inc.)
Amazon Web Services (AWS)
SAS Institute Inc.
Oracle Corporation
SAP SE
Intel Corporation
Nvidia Corporation
Tableau Software (now part of Salesforce)
Palantir Technologies
Splunk Inc.
Teradata Corporation
Qlik Technologies Inc.
Databricks

Key Coverage in the AI Analytics Industry Report

Growth Analysis of AI Analytics in the United States
Growth Analysis of the AI Technology Sector
Emerging Trends in AI Operations Market
Growth Overview of AI Testing Market in the United States
Market Dynamics and Comparative Assessment of AI Data Analytics Market and AI Inference Market

Key Segments

By Analytics Type:

Descriptive Analytics
Predictive Analytics
Prescriptive Analytics

By Enterprise Size:

Small Offices (1 to 9 employees)
Small Enterprises (10 to 99 employees)
Medium-sized Enterprise (100 to 499 employees)
Large Enterprises (500 to 999 employees)
Very Large Enterprises (1,000+ employees)

By Region:

North America
Latin America
Europe
East Asia
South Asia
Oceania
Middle East and Africa

Frequently Asked Questions

How Big is the AI Data Analytics Market?

The AI analytics market is expected to reach US$ 29.11 billion in 2024.

What is the Future Forecast of AI Analytics Market?

The market is anticipated to be valued at US$ 223.32 billion by 2034.

How Will the Market Progress in the United States?

In the United States, demand for artificial intelligence analytics is anticipated to develop at a CAGR of 19.5% by 2034.

What is the Growth Outlook for the AI Analytics Market?

The market is set to register a CAGR of 22.60% from 2024 to 2034.

What is the Predominant Analytics Type in 2024?

Predictive analytics solutions are anticipated to acquire a dominant 49% market share in 2024.

Table of Content

1. Executive Summary

1.1. Global Market Outlook

1.2. Demand-side Trends

1.3. Supply-side Trends

1.4. Technology Roadmap Analysis

1.5. Analysis and Recommendations

2. Market Overview

2.1. Market Coverage / Taxonomy

2.2. Market Definition / Scope / Limitations

3. Market Background

3.1. Market Dynamics

3.1.1. Drivers

3.1.2. Restraints

3.1.3. Opportunity

3.1.4. Trends

3.2. Scenario Forecast

3.2.1. Demand in Optimistic Scenario

3.2.2. Demand in Likely Scenario

3.2.3. Demand in Conservative Scenario

3.3. Opportunity Map Analysis

3.4. Investment Feasibility Matrix

3.5. PESTLE and Porter’s Analysis

3.6. Regulatory Landscape

3.6.1. By Key Regions

3.6.2. By Key Countries

3.7. Regional Parent Market Outlook

4. Global Market Analysis 2019 to 2023 and Forecast, 2024 to 2034

4.1. Historical Market Size Value (US$ Million) Analysis, 2019 to 2023

4.2. Current and Future Market Size Value (US$ Million) Projections, 2024 to 2034

4.2.1. Y-o-Y Growth Trend Analysis

4.2.2. Absolute $ Opportunity Analysis

5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Tools

5.1. Introduction / Key Findings

5.2. Historical Market Size Value (US$ Million) Analysis By Tools, 2019 to 2023

5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Tools, 2024 to 2034

5.3.1. Time Series Forecasting Tools

5.3.2. Predictive Modelling Tools

5.3.3. Data Visualization Tools

5.3.4. Natural Language Processing (NLP) Tools

5.3.5. Speech Recognition Tools

5.3.6. Others

5.4. Y-o-Y Growth Trend Analysis By Tools, 2019 to 2023

5.5. Absolute $ Opportunity Analysis By Tools, 2024 to 2034

6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Deployment

6.1. Introduction / Key Findings

6.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2019 to 2023

6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2024 to 2034

6.3.1. Cloud-Based

6.3.2. On-Premises

6.4. Y-o-Y Growth Trend Analysis By Deployment, 2019 to 2023

6.5. Absolute $ Opportunity Analysis By Deployment, 2024 to 2034

7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Enterprise Size

7.1. Introduction / Key Findings

7.2. Historical Market Size Value (US$ Million) Analysis by Enterprise Size, 2019 to 2023

7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast by Enterprise Size, 2024 to 2034

7.3.1. Small & Medium Enterprises (SMEs)

7.3.2. Large Enterprises

7.4. Y-o-Y Growth Trend Analysis by Enterprise Size, 2019 to 2023

7.5. Absolute $ Opportunity Analysis by Enterprise Size, 2024 to 2034

8. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Industry

8.1. Introduction / Key Findings

8.2. Historical Market Size Value (US$ Million) Analysis By Industry, 2019 to 2023

8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry, 2024 to 2034

8.3.1. BFSI

8.3.2. IT & Professional Services

8.3.3. Telecom

8.3.4. Retail

8.3.5. Manufacturing

8.3.6. Healthcare

8.3.7. Others

8.4. Y-o-Y Growth Trend Analysis By Industry, 2019 to 2023

8.5. Absolute $ Opportunity Analysis By Industry, 2024 to 2034

9. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region

9.1. Introduction

9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2019 to 2023

9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2024 to 2034

9.3.1. North America

9.3.2. Latin America

9.3.3. Western Europe

9.3.4. Eastern Europe

9.3.5. South Asia and Pacific

9.3.6. East Asia

9.3.7. Middle East and Africa

9.4. Market Attractiveness Analysis By Region

10. North America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

10.2.1. By Country

10.2.1.1. USA

10.2.1.2. Canada

10.2.2. By Tools

10.2.3. By Deployment

10.2.4. By Enterprise Size

10.2.5. By Industry

10.3. Market Attractiveness Analysis

10.3.1. By Country

10.3.2. By Tools

10.3.3. By Deployment

10.3.4. By Enterprise Size

10.3.5. By Industry

10.4. Key Takeaways

11. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

11.2.1. By Country

11.2.1.1. Brazil

11.2.1.2. Mexico

11.2.1.3. Rest of Latin America

11.2.2. By Tools

11.2.3. By Deployment

11.2.4. By Enterprise Size

11.2.5. By Industry

11.3. Market Attractiveness Analysis

11.3.1. By Country

11.3.2. By Tools

11.3.3. By Deployment

11.3.4. By Enterprise Size

11.3.5. By Industry

11.4. Key Takeaways

12. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

12.2.1. By Country

12.2.1.1. Germany

12.2.1.2. UK

12.2.1.3. France

12.2.1.4. Spain

12.2.1.5. Italy

12.2.1.6. Rest of Western Europe

12.2.2. By Tools

12.2.3. By Deployment

12.2.4. By Enterprise Size

12.2.5. By Industry

12.3. Market Attractiveness Analysis

12.3.1. By Country

12.3.2. By Tools

12.3.3. By Deployment

12.3.4. By Enterprise Size

12.3.5. By Industry

12.4. Key Takeaways

13. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

13.2.1. By Country

13.2.1.1. Poland

13.2.1.2. Russia

13.2.1.3. Czech Republic

13.2.1.4. Romania

13.2.1.5. Rest of Eastern Europe

13.2.2. By Tools

13.2.3. By Deployment

13.2.4. By Enterprise Size

13.2.5. By Industry

13.3. Market Attractiveness Analysis

13.3.1. By Country

13.3.2. By Tools

13.3.3. By Deployment

13.3.4. By Enterprise Size

13.3.5. By Industry

13.4. Key Takeaways

14. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

14.2.1. By Country

14.2.1.1. India

14.2.1.2. Bangladesh

14.2.1.3. Australia

14.2.1.4. New Zealand

14.2.1.5. Rest of South Asia and Pacific

14.2.2. By Tools

14.2.3. By Deployment

14.2.4. By Enterprise Size

14.2.5. By Industry

14.3. Market Attractiveness Analysis

14.3.1. By Country

14.3.2. By Tools

14.3.3. By Deployment

14.3.4. By Enterprise Size

14.3.5. By Industry

14.4. Key Takeaways

15. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

15.2.1. By Country

15.2.1.1. China

15.2.1.2. Japan

15.2.1.3. South Korea

15.2.2. By Tools

15.2.3. By Deployment

15.2.4. By Enterprise Size

15.2.5. By Industry

15.3. Market Attractiveness Analysis

15.3.1. By Country

15.3.2. By Tools

15.3.3. By Deployment

15.3.4. By Enterprise Size

15.3.5. By Industry

15.4. Key Takeaways

16. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

16.2.1. By Country

16.2.1.1. GCC Countries

16.2.1.2. South Africa

16.2.1.3. Israel

16.2.1.4. Rest of MEA

16.2.2. By Tools

16.2.3. By Deployment

16.2.4. By Enterprise Size

16.2.5. By Industry

16.3. Market Attractiveness Analysis

16.3.1. By Country

16.3.2. By Tools

16.3.3. By Deployment

16.3.4. By Enterprise Size

16.3.5. By Industry

16.4. Key Takeaways

17. Key Countries Market Analysis

17.1. USA

17.1.1. Pricing Analysis

17.1.2. Market Share Analysis, 2023

17.1.2.1. By Tools

17.1.2.2. By Deployment

17.1.2.3. By Enterprise Size

17.1.2.4. By Industry

17.2. Canada

17.2.1. Pricing Analysis

17.2.2. Market Share Analysis, 2023

17.2.2.1. By Tools

17.2.2.2. By Deployment

17.2.2.3. By Enterprise Size

17.2.2.4. By Industry

17.3. Brazil

17.3.1. Pricing Analysis

17.3.2. Market Share Analysis, 2023

17.3.2.1. By Tools

17.3.2.2. By Deployment

17.3.2.3. By Enterprise Size

17.3.2.4. By Industry

17.4. Mexico

17.4.1. Pricing Analysis

17.4.2. Market Share Analysis, 2023

17.4.2.1. By Tools

17.4.2.2. By Deployment

17.4.2.3. By Enterprise Size

17.4.2.4. By Industry

17.5. Germany

17.5.1. Pricing Analysis

17.5.2. Market Share Analysis, 2023

17.5.2.1. By Tools

17.5.2.2. By Deployment

17.5.2.3. By Enterprise Size

17.5.2.4. By Industry

17.6. UK

17.6.1. Pricing Analysis

17.6.2. Market Share Analysis, 2023

17.6.2.1. By Tools

17.6.2.2. By Deployment

17.6.2.3. By Enterprise Size

17.6.2.4. By Industry

17.7. France

17.7.1. Pricing Analysis

17.7.2. Market Share Analysis, 2023

17.7.2.1. By Tools

17.7.2.2. By Deployment

17.7.2.3. By Enterprise Size

17.7.2.4. By Industry

17.8. Spain

17.8.1. Pricing Analysis

17.8.2. Market Share Analysis, 2023

17.8.2.1. By Tools

17.8.2.2. By Deployment

17.8.2.3. By Enterprise Size

17.8.2.4. By Industry

17.9. Italy

17.9.1. Pricing Analysis

17.9.2. Market Share Analysis, 2023

17.9.2.1. By Tools

17.9.2.2. By Deployment

17.9.2.3. By Enterprise Size

17.9.2.4. By Industry

17.10. Poland

17.10.1. Pricing Analysis

17.10.2. Market Share Analysis, 2023

17.10.2.1. By Tools

17.10.2.2. By Deployment

17.10.2.3. By Enterprise Size

17.10.2.4. By Industry

17.11. Russia

17.11.1. Pricing Analysis

17.11.2. Market Share Analysis, 2023

17.11.2.1. By Tools

17.11.2.2. By Deployment

17.11.2.3. By Enterprise Size

17.11.2.4. By Industry

17.12. Czech Republic

17.12.1. Pricing Analysis

17.12.2. Market Share Analysis, 2023

17.12.2.1. By Tools

17.12.2.2. By Deployment

17.12.2.3. By Enterprise Size

17.12.2.4. By Industry

17.13. Romania

17.13.1. Pricing Analysis

17.13.2. Market Share Analysis, 2023

17.13.2.1. By Tools

17.13.2.2. By Deployment

17.13.2.3. By Enterprise Size

17.13.2.4. By Industry

17.14. India

17.14.1. Pricing Analysis

17.14.2. Market Share Analysis, 2023

17.14.2.1. By Tools

17.14.2.2. By Deployment

17.14.2.3. By Enterprise Size

17.14.2.4. By Industry

17.15. Bangladesh

17.15.1. Pricing Analysis

17.15.2. Market Share Analysis, 2023

17.15.2.1. By Tools

17.15.2.2. By Deployment

17.15.2.3. By Enterprise Size

17.15.2.4. By Industry

17.16. Australia

17.16.1. Pricing Analysis

17.16.2. Market Share Analysis, 2023

17.16.2.1. By Tools

17.16.2.2. By Deployment

17.16.2.3. By Enterprise Size

17.16.2.4. By Industry

17.17. New Zealand

17.17.1. Pricing Analysis

17.17.2. Market Share Analysis, 2023

17.17.2.1. By Tools

17.17.2.2. By Deployment

17.17.2.3. By Enterprise Size

17.17.2.4. By Industry

17.18. China

17.18.1. Pricing Analysis

17.18.2. Market Share Analysis, 2023

17.18.2.1. By Tools

17.18.2.2. By Deployment

17.18.2.3. By Enterprise Size

17.18.2.4. By Industry

17.19. Japan

17.19.1. Pricing Analysis

17.19.2. Market Share Analysis, 2023

17.19.2.1. By Tools

17.19.2.2. By Deployment

17.19.2.3. By Enterprise Size

17.19.2.4. By Industry

17.20. South Korea

17.20.1. Pricing Analysis

17.20.2. Market Share Analysis, 2023

17.20.2.1. By Tools

17.20.2.2. By Deployment

17.20.2.3. By Enterprise Size

17.20.2.4. By Industry

17.21. GCC Countries

17.21.1. Pricing Analysis

17.21.2. Market Share Analysis, 2023

17.21.2.1. By Tools

17.21.2.2. By Deployment

17.21.2.3. By Enterprise Size

17.21.2.4. By Industry

17.22. South Africa

17.22.1. Pricing Analysis

17.22.2. Market Share Analysis, 2023

17.22.2.1. By Tools

17.22.2.2. By Deployment

17.22.2.3. By Enterprise Size

17.22.2.4. By Industry

17.23. Israel

17.23.1. Pricing Analysis

17.23.2. Market Share Analysis, 2023

17.23.2.1. By Tools

17.23.2.2. By Deployment

17.23.2.3. By Enterprise Size

17.23.2.4. By Industry

18. Market Structure Analysis

18.1. Competition Dashboard

18.2. Competition Benchmarking

18.3. Market Share Analysis of Top Players

18.3.1. By Regional

18.3.2. By Tools

18.3.3. By Deployment

18.3.4. By Enterprise Size

18.3.5. By Industry

19. Competition Analysis

19.1. Competition Deep Dive

19.1.1. IBM

19.1.1.1. Overview

19.1.1.2. Product Portfolio

19.1.1.3. Profitability by Market Segments

19.1.1.4. Sales Footprint

19.1.1.5. Strategy Overview

19.1.1.5.1. Marketing Strategy

19.1.2. Microsoft

19.1.2.1. Overview

19.1.2.2. Product Portfolio

19.1.2.3. Profitability by Market Segments

19.1.2.4. Sales Footprint

19.1.2.5. Strategy Overview

19.1.2.5.1. Marketing Strategy

19.1.3. Google

19.1.3.1. Overview

19.1.3.2. Product Portfolio

19.1.3.3. Profitability by Market Segments

19.1.3.4. Sales Footprint

19.1.3.5. Strategy Overview

19.1.3.5.1. Marketing Strategy

19.1.4. Amazon Web Services (AWS)

19.1.4.1. Overview

19.1.4.2. Product Portfolio

19.1.4.3. Profitability by Market Segments

19.1.4.4. Sales Footprint

19.1.4.5. Strategy Overview

19.1.4.5.1. Marketing Strategy

19.1.5. SAS

19.1.5.1. Overview

19.1.5.2. Product Portfolio

19.1.5.3. Profitability by Market Segments

19.1.5.4. Sales Footprint

19.1.5.5. Strategy Overview

19.1.5.5.1. Marketing Strategy

19.1.6. Alteryx

19.1.6.1. Overview

19.1.6.2. Product Portfolio

19.1.6.3. Profitability by Market Segments

19.1.6.4. Sales Footprint

19.1.6.5. Strategy Overview

19.1.6.5.1. Marketing Strategy

19.1.7. Salesforce

19.1.7.1. Overview

19.1.7.2. Product Portfolio

19.1.7.3. Profitability by Market Segments

19.1.7.4. Sales Footprint

19.1.7.5. Strategy Overview

19.1.7.5.1. Marketing Strategy

19.1.8. Qlik

19.1.8.1. Overview

19.1.8.2. Product Portfolio

19.1.8.3. Profitability by Market Segments

19.1.8.4. Sales Footprint

19.1.8.5. Strategy Overview

19.1.8.5.1. Marketing Strategy

19.1.9. DataRobot

19.1.9.1. Overview

19.1.9.2. Product Portfolio

19.1.9.3. Profitability by Market Segments

19.1.9.4. Sales Footprint

19.1.9.5. Strategy Overview

19.1.9.5.1. Marketing Strategy

19.1.10. Talend

19.1.10.1. Overview

19.1.10.2. Product Portfolio

19.1.10.3. Profitability by Market Segments

19.1.10.4. Sales Footprint

19.1.10.5. Strategy Overview

19.1.10.5.1. Marketing Strategy

19.1.11. Sisense

19.1.11.1. Overview

19.1.11.2. Product Portfolio

19.1.11.3. Profitability by Market Segments

19.1.11.4. Sales Footprint

19.1.11.5. Strategy Overview

19.1.11.5.1. Marketing Strategy

20. Assumptions & Acronyms Used

21. Research Methodology

AI Analytics Market

AI Analytics Market Forecast by Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics for 2024 to 2034