AI In Financial Forecasting Market Size 2025-2029
The ai in financial forecasting market size is forecast to increase by USD 147.5 billion, at a CAGR of 32.7% between 2024 and 2029.
The global AI in financial forecasting market is advancing due to the proliferation of big data and complex financial information that traditional methods cannot adequately process. This has increased the demand for ai and machine learning in business to extract predictive value from vast and varied datasets. This driver supports the trend toward hyper-personalization, where ai in fintech enables the delivery of forecasts and services tailored to individual financial circumstances. Using predictive analytics and alternative data sources, firms can provide bespoke advice on investment strategies and debt management, reshaping customer expectations. This makes ai in financial planning and analysis a critical function.However, the efficacy of these advanced systems is fundamentally contingent on data quality and availability. Flawed or incomplete data undermines the output of even the most sophisticated predictive ai in stock models, a challenge known as the 'garbage in, garbage out' phenomenon. Inconsistent data formats and fragmented information residing in disparate silos impede the creation of unified datasets necessary for training robust ai in accounting models. This issue directly impacts the reliability of ai-generated insights and represents a significant hurdle for organizations aiming to leverage applied ai in finance for strategic decision-making, complicating efforts to achieve reliable results.
What will be the Size of the AI In Financial Forecasting Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
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The ongoing evolution of predictive models is reshaping the landscape of ai in banking, with a clear shift towards leveraging real-time data streams and alternative data sources. This transition allows for more dynamic and accurate forecasting models. Advanced ai analytic techniques are enabling more robust risk management and sophisticated scenario analysis, which are critical functions within ai in asset management. The goal is to move beyond historical analysis to a more forward-looking, predictive posture in financial decision-making.The integration of generative ai models and natural language processing is broadening the application scope of applied ai in finance. These technologies facilitate complex tasks like stress testing financial portfolios and automating the interpretation of unstructured reports. As these systems become more autonomous, ensuring model transparency through explainable ai (XAI) is a parallel and crucial activity. This focus on interpretability is vital for maintaining regulatory compliance and building stakeholder trust, especially in the context of ai in autonomous finance.
How is this AI In Financial Forecasting Industry segmented?
The ai in financial forecasting industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments.
- Component
- Deployment
- End-user
- Large enterprises
- SMEs
- Startup
- Geography
- North America
- Europe
- Germany
- UK
- France
- Italy
- Spain
- The Netherlands
- APAC
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- South America
- Middle East and Africa
- Rest of World (ROW)
By Component Insights
The software segment is estimated to witness significant growth during the forecast period.
The software segment serves as the foundational technological enabler, encompassing a diverse range of platforms and tools engineered to enhance predictive accuracy and automation. These solutions employ machine learning algorithms to analyze complex datasets, including real-time market data, generating precise forecasts. A significant focus is on integrating AI capabilities directly into existing financial management systems, which allows organizations to adopt advanced forecasting models without undertaking a complete overhaul of their core infrastructure, a key aspect of ai in accounting.
A pivotal development within this segment is the introduction of AI assistants designed to automate routine tasks such as variance analysis and data reconciliation. Currently, over 58% of finance teams utilize AI technology for applications like intelligent process automation and error detection. These tools leverage natural language processing, enabling finance professionals to query data and generate reports conversationally. This shift transforms their roles from manual data compilation to the strategic interpretation of AI-generated insights, directly impacting functions like ai in financial planning and analysis.
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The Software segment was valued at USD 7.4 billion in 2019 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 36.1% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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The North America region commands a leading position in the market, a status attributed to its advanced technological infrastructure and substantial investments in innovation. Within this region, the adoption of AI technology among finance teams has surged, with a primary concentration on intelligent process automation, anomaly detection, and the enhancement of predictive analytics for financial forecasts. The use of ai in financial planning and analysis is becoming a standard operational practice, supported by a robust ecosystem that fosters continuous AI development and application.
In North America, a growing acceptance of AI for personal finance management is evident, with approximately one-third of consumers now utilizing it for financial planning and cash flow forecasting. This trend signifies the integration of AI into mainstream financial activities, moving beyond enterprise applications. The strategic impetus in the region is on leveraging AI-powered systems to address productivity challenges and fortify risk management frameworks. This highlights the technology's critical importance in the regional financial sector and its role in shaping the future of ai in fintech.
Market Dynamics
Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
The global AI in financial forecasting market is experiencing explosive growth, driven by the adoption of sophisticated tools. Firms are increasingly leveraging machine learning for algorithmic trading strategies and deep learning for stock price prediction to gain a competitive edge. The integration of AI-powered cash flow forecasting solutions and AI-driven credit risk assessment models is revolutionizing risk management. Furthermore, the ability to perform real-time market sentiment analysis using AI and using alternative data for investment analysis offers unprecedented insights. This is complemented by natural language processing for financial reports and generative AI for market scenario simulation, allowing for robust planning. For operational excellence, firms employ predictive maintenance for trading infrastructure, ensuring system reliability and uptime.Further advancements include AI-based portfolio optimization techniques and AI models for predicting economic indicators, crucial for long-term strategy. The focus is also shifting toward operational efficiency through automating financial reconciliation with AI and enhancing security with automated anomaly detection in financial data and detecting financial fraud with deep learning. As systems become more complex, the demand for explainable AI in financial modeling is paramount. Concurrently, addressing AI ethics and governance in finance and implementing federated learning for privacy-preserving AI are becoming critical for trust. These technologies also support AI applications for regulatory compliance and enable the hyper-personalization of financial advice with AI, ultimately guiding better AI for strategic capital allocation decisions.
What are the key market drivers leading to the rise in the adoption of AI In Financial Forecasting Industry?
- The proliferation of big data and increasingly complex datasets is a key driver for the market.
The exponential growth in the volume and complexity of financial data is a primary market driver. Traditional forecasting methods relying on structured internal data are inadequate for today's vast quantities of unstructured data and alternative data sources. AI, particularly machine learning and natural language processing, offers a viable means to analyze these massive datasets. AI algorithms excel at identifying intricate patterns invisible to conventional statistical models, thereby enhancing the precision of financial forecasts. A recent survey revealed that 58% of finance teams are now utilizing AI, with primary applications including intelligent process automation and anomaly detection.Relentless innovation in artificial intelligence and machine learning algorithms also serves as a critical driver. The capabilities of predictive models are continuously improving, enabling more sophisticated and accurate financial forecasting. The evolution from basic machine learning to complex deep learning architectures and generative AI models has unlocked new possibilities for financial analysis. The increased accessibility of these tools through cloud-based platforms has lowered entry barriers, allowing a wider range of financial institutions to adopt AI-driven forecasting. Industry reports show that while 90% of financial services executives have integrated AI to some extent, many are still in the early stages of adoption.
What are the market trends shaping the AI In Financial Forecasting Industry?
- A predominant trend is the accelerated move toward the hyper-personalization of financial forecasting and services.
A predominant trend is the accelerated move toward hyper-personalization of financial services, a key application of ai in financial planning and analysis. Financial institutions are leveraging machine learning algorithms to analyze transaction histories and investment patterns to deliver bespoke advice. This shift beyond broad demographic segmentation is reshaping customer expectations, with approximately one-third of consumers now using AI to manage their finances. This development in ai and machine learning in business compels providers to innovate, offering proactive and individualized financial counsel on matters from retirement planning to debt management. The result is a more engaging and value-driven customer experience.The increasing complexity of AI models has given rise to a critical counter-trend: the demand for explainable AI (XAI). As institutions deploy sophisticated black box models for high-stakes applications like credit scoring and algorithmic trading, their opaqueness has become a concern. XAI techniques make AI decisions more transparent and interpretable, which is essential for ensuring fairness, accountability, and regulatory compliance. A recent survey indicated that nearly 9 in 10 financial institutions are either implementing or interested in generative AI, heightening the need for model interpretability to build trust in these advanced ai in fintech systems.
What challenges does the AI In Financial Forecasting Industry face during its growth?
- A foundational challenge affecting industry growth is the persistent issue of data quality and availability.
The efficacy of AI in financial forecasting is fundamentally contingent on data quality and availability. A significant challenge is the inadequacy of data infrastructure and the prevalence of suboptimal data. Financial datasets are often fragmented and reside in disparate data silos, which impedes the creation of a unified data repository for training robust AI models. Inconsistencies, gaps in historical records, and formatting issues lead to the 'garbage in, garbage out' phenomenon. Industry predictions suggest that over 60% of firms may need to localize AI with regionally trained models to overcome linguistic and contextual barriers, highlighting the data fragmentation challenge.A formidable obstacle is the inherent opacity of many advanced algorithms, often called the black box problem. Complex models like deep learning networks can provide highly accurate predictions but offer little insight into their underlying logic, eroding trust and complicating regulatory compliance. This lack of model transparency poses a challenge for stakeholders who need to scrutinize decision-making processes to ensure fairness and assess risk. While over 90% of financial services firms have integrated AI, many are in early stages, where challenges like model interpretability and the need for explainable ai (XAI) remain a significant hurdle to widespread adoption for critical decisions.
Exclusive Customer Landscape
The ai in financial forecasting market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the ai in financial forecasting market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Key Companies & Market Insights
Companies are implementing various strategies, such as strategic alliances, ai in financial forecasting market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
Access Workspace Australia Pty Ltd. - The core offering in the market involves providing AI-driven financial forecasting through integrated platforms. These solutions deliver capabilities such as visual forecasting, key performance indicator tracking, and dynamic scenario planning by applying AI and machine learning to enhance financial data analysis. The technology is designed to process complex information, identify underlying trends, and generate predictive insights that support strategic decision-making. By automating and refining the forecasting process, these offerings enable businesses to monitor performance more effectively, anticipate future outcomes with greater accuracy, and adapt to changing market conditions. The emphasis is on transforming raw financial data into actionable intelligence, empowering finance teams to move beyond manual analysis and focus on strategic interpretation and planning. This approach helps organizations improve financial management, optimize resource allocation, and maintain a competitive edge through data-informed foresight.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
- Access Workspace Australia Pty Ltd.
- AlphaSense Inc.
- Anaplan Inc.
- Botkeeper Inc.
- Cube Planning Inc.
- Datarails Inc.
- Domo Inc.
- International Business Machines Corp.
- Intuit Inc.
- Lithasa Technologies Pvt. Ltd.
- Planful Inc.
- Prophix Software Inc.
- Quantivate LLC.
- Spindle Technologies Inc.
- Tipalti Inc.
- Vena Solutions Inc.
- Workday Inc.
- ZestFinance Inc.
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Recent Development and News in Ai In Financial Forecasting Market
In July 2024, a report from BMO highlighted that one-third of Canadians utilize AI for managing their finances, with 40% using it to create or update their financial plans.In July 2024, the European Union formally adopted the EU AI Act, a landmark regulation establishing a framework for trustworthy AI that implicitly drives demand for transparent systems in financial forecasting.In May 2024, the UK's Financial Conduct Authority (FCA) initiated a Market Abuse Surveillance TechSprint to explore how advanced solutions using AI and machine learning could help detect new forms of market abuse.In April 2024, First Abu Dhabi Bank (FAB) announced a strategic partnership with Microsoft to collaborate on developing new AI-based banking capabilities, including launching an AI Innovation Hub for financial services.In February 2024, Microsoft introduced a public preview of its Copilot for Finance, an AI assistant designed to automate financial tasks within Microsoft 365 applications like Excel and Outlook.
Research Analyst Overview
The global AI in financial forecasting market is characterized by the continuous evolution of predictive models and forecasting models, which are increasingly powered by sophisticated machine learning algorithms and deep learning architectures. A primary focus is on enhancing automated forecasting for financial planning & analysis (FP&A) and revenue forecasting. This requires robust data integration strategies to break down data silos and ensure superior data quality management. The incorporation of real-time data streams and advanced time-series analysis techniques is becoming standard practice to improve predictive accuracy. Organizations are moving away from traditional econometric models towards these dynamic systems, which adapt to shifting market variables and support more precise cash flow forecasting, fundamentally altering a firms operational planning and risk management capabilities.Advancements in the sector are evident with the adoption of generative AI models for complex scenario analysis and stress testing. Concurrently, there is a growing demand for explainable AI (XAI) to ensure model interpretability and model transparency, which is critical for compliance with data privacy regulations and building trust in regulatory technology (REGTECH). Applications in credit risk modeling, credit scoring, and fraud detection algorithms are becoming more refined through feature engineering and rigorous backtesting. Furthermore, the use of natural language processing for sentiment analysis and unstructured data analysis of alternative data sources is optimizing portfolio optimization and algorithmic trading strategies. This ongoing refinement of predictive models is a key factor, with industry expectations pointing towards a 25% increase in adoption for specialized financial applications over the medium term.
Dive into Technavio’s robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled AI In Financial Forecasting Market insights. See full methodology.
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Market Scope
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Report Coverage
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Details
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Page number
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288
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Base year
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2024
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Historic period
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2019 - 2023 |
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Forecast period
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2025-2029
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Growth momentum & CAGR
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Accelerating at a CAGR of 32.7%
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Market growth 2024-2029
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USD 147.5 billion
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Market structure
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Fragmented
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YoY growth 2024-2029(%)
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30.7%
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Key countries
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US, Canada, Mexico, Germany, UK, France, Italy, Spain, The Netherlands, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Argentina, Colombia, Saudi Arabia, UAE, South Africa, Israel, Turkey
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Competitive landscape
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Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks
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What are the Key Data Covered in this AI In Financial Forecasting Market Research and Growth Report?
- CAGR of the AI In Financial Forecasting industry during the forecast period
- Detailed information on factors that will drive the growth and forecasting between 2024 and 2029
- Precise estimation of the size of the market and its contribution of the industry in focus to the parent market
- Accurate predictions about upcoming growth and trends and changes in consumer behaviour
- Growth of the market across North America, Europe, APAC, South America, Middle East and Africa
- Thorough analysis of the market’s competitive landscape and detailed information about companies
- Comprehensive analysis of factors that will challenge the ai in financial forecasting market growth of industry companies
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1 Executive Summary
- 1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Component
- Executive Summary - Chart on Market Segmentation by Deployment
- Executive Summary - Chart on Market Segmentation by End-user
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- Chart on Overview on criticality of inputs and factors of differentiation
- 2.3 Factors of disruption
- Chart on Overview on factors of disruption
- 2.4 Impact of drivers and challenges
- Chart on Impact of drivers and challenges in 2024 and 2029
3 Market Landscape
- 3 Market Landscape
- 3.1 Market ecosystem
- Chart on Parent Market
- Data Table on - Parent Market
- 3.2 Market characteristics
- Chart on Market characteristics analysis
- 3.3 Value chain analysis
- Chart on Value chain analysis
4 Market Sizing
- 4 Market Sizing
- 4.1 Market definition
- Data Table on Offerings of companies included in the market definition
- 4.2 Market segment analysis
- 4.3 Market size 2024
- 4.4 Market outlook: Forecast for 2024-2029
- Chart on Global - Market size and forecast 2024-2029 ($ billion)
- Data Table on Global - Market size and forecast 2024-2029 ($ billion)
- Chart on Global Market: Year-over-year growth 2024-2029 (%)
- Data Table on Global Market: Year-over-year growth 2024-2029 (%)
5 Historic Market Size
- 5 Historic Market Size
- 5.1 Global AI In Financial Forecasting Market 2019 - 2023
- Historic Market Size - Data Table on Global AI In Financial Forecasting Market 2019 - 2023 ($ billion)
- 5.2 Component segment analysis 2019 - 2023
- Historic Market Size - Component Segment 2019 - 2023 ($ billion)
- 5.3 Deployment segment analysis 2019 - 2023
- Historic Market Size - Deployment Segment 2019 - 2023 ($ billion)
- 5.4 End-user segment analysis 2019 - 2023
- Historic Market Size - End-user Segment 2019 - 2023 ($ billion)
- 5.5 Geography segment analysis 2019 - 2023
- Historic Market Size - Geography Segment 2019 - 2023 ($ billion)
- 5.6 Country segment analysis 2019 - 2023
- Historic Market Size - Country Segment 2019 - 2023 ($ billion)
6 Five Forces Analysis
- 6 Five Forces Analysis
- 6.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 6.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 6.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 6.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 6.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 6.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 6.7 Market condition
- Chart on Market condition - Five forces 2024 and 2029
7 Market Segmentation by Component
- 7 Market Segmentation by Component
- 7.1 Market segments
- Chart on Component - Market share 2024-2029 (%)
- Data Table on Component - Market share 2024-2029 (%)
- 7.2 Comparison by Component
- Chart on Comparison by Component
- Data Table on Comparison by Component
- 7.3 Software - Market size and forecast 2024-2029
- Chart on Software - Market size and forecast 2024-2029 ($ billion)
- Data Table on Software - Market size and forecast 2024-2029 ($ billion)
- Chart on Software - Year-over-year growth 2024-2029 (%)
- Data Table on Software - Year-over-year growth 2024-2029 (%)
- 7.4 Services - Market size and forecast 2024-2029
- Chart on Services - Market size and forecast 2024-2029 ($ billion)
- Data Table on Services - Market size and forecast 2024-2029 ($ billion)
- Chart on Services - Year-over-year growth 2024-2029 (%)
- Data Table on Services - Year-over-year growth 2024-2029 (%)
- 7.5 Market opportunity by Component
- Market opportunity by Component ($ billion)
- Data Table on Market opportunity by Component ($ billion)
8 Market Segmentation by Deployment
- 8 Market Segmentation by Deployment
- 8.1 Market segments
- Chart on Deployment - Market share 2024-2029 (%)
- Data Table on Deployment - Market share 2024-2029 (%)
- 8.2 Comparison by Deployment
- Chart on Comparison by Deployment
- Data Table on Comparison by Deployment
- 8.3 Cloud-based - Market size and forecast 2024-2029
- Chart on Cloud-based - Market size and forecast 2024-2029 ($ billion)
- Data Table on Cloud-based - Market size and forecast 2024-2029 ($ billion)
- Chart on Cloud-based - Year-over-year growth 2024-2029 (%)
- Data Table on Cloud-based - Year-over-year growth 2024-2029 (%)
- 8.4 On-premises - Market size and forecast 2024-2029
- Chart on On-premises - Market size and forecast 2024-2029 ($ billion)
- Data Table on On-premises - Market size and forecast 2024-2029 ($ billion)
- Chart on On-premises - Year-over-year growth 2024-2029 (%)
- Data Table on On-premises - Year-over-year growth 2024-2029 (%)
- 8.5 Market opportunity by Deployment
- Market opportunity by Deployment ($ billion)
- Data Table on Market opportunity by Deployment ($ billion)
9 Market Segmentation by End-user
- 9 Market Segmentation by End-user
- 9.1 Market segments
- Chart on End-user - Market share 2024-2029 (%)
- Data Table on End-user - Market share 2024-2029 (%)
- 9.2 Comparison by End-user
- Chart on Comparison by End-user
- Data Table on Comparison by End-user
- 9.3 Large enterprises - Market size and forecast 2024-2029
- Chart on Large enterprises - Market size and forecast 2024-2029 ($ billion)
- Data Table on Large enterprises - Market size and forecast 2024-2029 ($ billion)
- Chart on Large enterprises - Year-over-year growth 2024-2029 (%)
- Data Table on Large enterprises - Year-over-year growth 2024-2029 (%)
- 9.4 SMEs - Market size and forecast 2024-2029
- Chart on SMEs - Market size and forecast 2024-2029 ($ billion)
- Data Table on SMEs - Market size and forecast 2024-2029 ($ billion)
- Chart on SMEs - Year-over-year growth 2024-2029 (%)
- Data Table on SMEs - Year-over-year growth 2024-2029 (%)
- 9.5 Startup - Market size and forecast 2024-2029
- Chart on Startup - Market size and forecast 2024-2029 ($ billion)
- Data Table on Startup - Market size and forecast 2024-2029 ($ billion)
- Chart on Startup - Year-over-year growth 2024-2029 (%)
- Data Table on Startup - Year-over-year growth 2024-2029 (%)
- 9.6 Market opportunity by End-user
- Market opportunity by End-user ($ billion)
- Data Table on Market opportunity by End-user ($ billion)
10 Customer Landscape
- 10 Customer Landscape
- 10.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
11 Geographic Landscape
- 11 Geographic Landscape
- 11.1 Geographic segmentation
- Chart on Market share by geography 2024-2029 (%)
- Data Table on Market share by geography 2024-2029 (%)
- 11.2 Geographic comparison
- Chart on Geographic comparison
- Data Table on Geographic comparison
- 11.3 North America - Market size and forecast 2024-2029
- Chart on North America - Market size and forecast 2024-2029 ($ billion)
- Data Table on North America - Market size and forecast 2024-2029 ($ billion)
- Chart on North America - Year-over-year growth 2024-2029 (%)
- Data Table on North America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - North America
- Data Table on Regional Comparison - North America
- 11.3.1 US - Market size and forecast 2024-2029
- Chart on US - Market size and forecast 2024-2029 ($ billion)
- Data Table on US - Market size and forecast 2024-2029 ($ billion)
- Chart on US - Year-over-year growth 2024-2029 (%)
- Data Table on US - Year-over-year growth 2024-2029 (%)
- 11.3.2 Canada - Market size and forecast 2024-2029
- Chart on Canada - Market size and forecast 2024-2029 ($ billion)
- Data Table on Canada - Market size and forecast 2024-2029 ($ billion)
- Chart on Canada - Year-over-year growth 2024-2029 (%)
- Data Table on Canada - Year-over-year growth 2024-2029 (%)
- 11.3.3 Mexico - Market size and forecast 2024-2029
- Chart on Mexico - Market size and forecast 2024-2029 ($ billion)
- Data Table on Mexico - Market size and forecast 2024-2029 ($ billion)
- Chart on Mexico - Year-over-year growth 2024-2029 (%)
- Data Table on Mexico - Year-over-year growth 2024-2029 (%)
- 11.4 Europe - Market size and forecast 2024-2029
- Chart on Europe - Market size and forecast 2024-2029 ($ billion)
- Data Table on Europe - Market size and forecast 2024-2029 ($ billion)
- Chart on Europe - Year-over-year growth 2024-2029 (%)
- Data Table on Europe - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Europe
- Data Table on Regional Comparison - Europe
- 11.4.1 Germany - Market size and forecast 2024-2029
- Chart on Germany - Market size and forecast 2024-2029 ($ billion)
- Data Table on Germany - Market size and forecast 2024-2029 ($ billion)
- Chart on Germany - Year-over-year growth 2024-2029 (%)
- Data Table on Germany - Year-over-year growth 2024-2029 (%)
- 11.4.2 UK - Market size and forecast 2024-2029
- Chart on UK - Market size and forecast 2024-2029 ($ billion)
- Data Table on UK - Market size and forecast 2024-2029 ($ billion)
- Chart on UK - Year-over-year growth 2024-2029 (%)
- Data Table on UK - Year-over-year growth 2024-2029 (%)
- 11.4.3 France - Market size and forecast 2024-2029
- Chart on France - Market size and forecast 2024-2029 ($ billion)
- Data Table on France - Market size and forecast 2024-2029 ($ billion)
- Chart on France - Year-over-year growth 2024-2029 (%)
- Data Table on France - Year-over-year growth 2024-2029 (%)
- 11.4.4 Italy - Market size and forecast 2024-2029
- Chart on Italy - Market size and forecast 2024-2029 ($ billion)
- Data Table on Italy - Market size and forecast 2024-2029 ($ billion)
- Chart on Italy - Year-over-year growth 2024-2029 (%)
- Data Table on Italy - Year-over-year growth 2024-2029 (%)
- 11.4.5 Spain - Market size and forecast 2024-2029
- Chart on Spain - Market size and forecast 2024-2029 ($ billion)
- Data Table on Spain - Market size and forecast 2024-2029 ($ billion)
- Chart on Spain - Year-over-year growth 2024-2029 (%)
- Data Table on Spain - Year-over-year growth 2024-2029 (%)
- 11.4.6 The Netherlands - Market size and forecast 2024-2029
- Chart on The Netherlands - Market size and forecast 2024-2029 ($ billion)
- Data Table on The Netherlands - Market size and forecast 2024-2029 ($ billion)
- Chart on The Netherlands - Year-over-year growth 2024-2029 (%)
- Data Table on The Netherlands - Year-over-year growth 2024-2029 (%)
- 11.5 APAC - Market size and forecast 2024-2029
- Chart on APAC - Market size and forecast 2024-2029 ($ billion)
- Data Table on APAC - Market size and forecast 2024-2029 ($ billion)
- Chart on APAC - Year-over-year growth 2024-2029 (%)
- Data Table on APAC - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - APAC
- Data Table on Regional Comparison - APAC
- 11.5.1 China - Market size and forecast 2024-2029
- Chart on China - Market size and forecast 2024-2029 ($ billion)
- Data Table on China - Market size and forecast 2024-2029 ($ billion)
- Chart on China - Year-over-year growth 2024-2029 (%)
- Data Table on China - Year-over-year growth 2024-2029 (%)
- 11.5.2 Japan - Market size and forecast 2024-2029
- Chart on Japan - Market size and forecast 2024-2029 ($ billion)
- Data Table on Japan - Market size and forecast 2024-2029 ($ billion)
- Chart on Japan - Year-over-year growth 2024-2029 (%)
- Data Table on Japan - Year-over-year growth 2024-2029 (%)
- 11.5.3 India - Market size and forecast 2024-2029
- Chart on India - Market size and forecast 2024-2029 ($ billion)
- Data Table on India - Market size and forecast 2024-2029 ($ billion)
- Chart on India - Year-over-year growth 2024-2029 (%)
- Data Table on India - Year-over-year growth 2024-2029 (%)
- 11.5.4 South Korea - Market size and forecast 2024-2029
- Chart on South Korea - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Korea - Market size and forecast 2024-2029 ($ billion)
- Chart on South Korea - Year-over-year growth 2024-2029 (%)
- Data Table on South Korea - Year-over-year growth 2024-2029 (%)
- 11.5.5 Australia - Market size and forecast 2024-2029
- Chart on Australia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Australia - Market size and forecast 2024-2029 ($ billion)
- Chart on Australia - Year-over-year growth 2024-2029 (%)
- Data Table on Australia - Year-over-year growth 2024-2029 (%)
- 11.5.6 Indonesia - Market size and forecast 2024-2029
- Chart on Indonesia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Indonesia - Market size and forecast 2024-2029 ($ billion)
- Chart on Indonesia - Year-over-year growth 2024-2029 (%)
- Data Table on Indonesia - Year-over-year growth 2024-2029 (%)
- 11.6 South America - Market size and forecast 2024-2029
- Chart on South America - Market size and forecast 2024-2029 ($ billion)
- Data Table on South America - Market size and forecast 2024-2029 ($ billion)
- Chart on South America - Year-over-year growth 2024-2029 (%)
- Data Table on South America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - South America
- Data Table on Regional Comparison - South America
- 11.6.1 Brazil - Market size and forecast 2024-2029
- Chart on Brazil - Market size and forecast 2024-2029 ($ billion)
- Data Table on Brazil - Market size and forecast 2024-2029 ($ billion)
- Chart on Brazil - Year-over-year growth 2024-2029 (%)
- Data Table on Brazil - Year-over-year growth 2024-2029 (%)
- 11.6.2 Argentina - Market size and forecast 2024-2029
- Chart on Argentina - Market size and forecast 2024-2029 ($ billion)
- Data Table on Argentina - Market size and forecast 2024-2029 ($ billion)
- Chart on Argentina - Year-over-year growth 2024-2029 (%)
- Data Table on Argentina - Year-over-year growth 2024-2029 (%)
- 11.6.3 Colombia - Market size and forecast 2024-2029
- Chart on Colombia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Colombia - Market size and forecast 2024-2029 ($ billion)
- Chart on Colombia - Year-over-year growth 2024-2029 (%)
- Data Table on Colombia - Year-over-year growth 2024-2029 (%)
- 11.7 Middle East and Africa - Market size and forecast 2024-2029
- Chart on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Data Table on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Middle East and Africa
- Data Table on Regional Comparison - Middle East and Africa
- 11.7.1 Saudi Arabia - Market size and forecast 2024-2029
- Chart on Saudi Arabia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Saudi Arabia - Market size and forecast 2024-2029 ($ billion)
- Chart on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- Data Table on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- 11.7.2 UAE - Market size and forecast 2024-2029
- Chart on UAE - Market size and forecast 2024-2029 ($ billion)
- Data Table on UAE - Market size and forecast 2024-2029 ($ billion)
- Chart on UAE - Year-over-year growth 2024-2029 (%)
- Data Table on UAE - Year-over-year growth 2024-2029 (%)
- 11.7.3 South Africa - Market size and forecast 2024-2029
- Chart on South Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on South Africa - Year-over-year growth 2024-2029 (%)
- Data Table on South Africa - Year-over-year growth 2024-2029 (%)
- 11.7.4 Israel - Market size and forecast 2024-2029
- Chart on Israel - Market size and forecast 2024-2029 ($ billion)
- Data Table on Israel - Market size and forecast 2024-2029 ($ billion)
- Chart on Israel - Year-over-year growth 2024-2029 (%)
- Data Table on Israel - Year-over-year growth 2024-2029 (%)
- 11.7.5 Turkey - Market size and forecast 2024-2029
- Chart on Turkey - Market size and forecast 2024-2029 ($ billion)
- Data Table on Turkey - Market size and forecast 2024-2029 ($ billion)
- Chart on Turkey - Year-over-year growth 2024-2029 (%)
- Data Table on Turkey - Year-over-year growth 2024-2029 (%)
- 11.8 Market opportunity by geography
- Market opportunity by geography ($ billion)
- Data Tables on Market opportunity by geography ($ billion)
12 Drivers, Challenges, and Opportunity
- 12 Drivers, Challenges, and Opportunity
- 12.1 Market drivers
- Proliferation of big data and complex datasets
- Advancements in AI and machine learning technologies
- Imperative for greater accuracy, efficiency, and regulatory adherence
- 12.2 Market challenges
- Data quality and availability foundational challenge to AI in financial forecasting
- Model interpretability and explainability black box dilemma
- Regulatory and compliance risks navigating a complex and evolving landscape
- 12.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 12.4 Market opportunities
- Hyper-personalization of financial forecasting and services
- Ascendancy of explainable AI (XAI)
- Integration of generative AI for advanced scenario analysis
13 Competitive Landscape
- 13 Competitive Landscape
- 13.1 Overview
- 13.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 13.3 Landscape disruption
- Overview on factors of disruption
- 13.4 Industry risks
- Impact of key risks on business
14 Competitive Analysis
- 14 Competitive Analysis
- 14.1 Companies profiled
- 14.2 Company ranking index
- 14.3 Market positioning of companies
- Matrix on companies position and classification
- 14.4 Access Workspace Australia Pty Ltd.
- Access Workspace Australia Pty Ltd. - Overview
- Access Workspace Australia Pty Ltd. - Product / Service
- Access Workspace Australia Pty Ltd. - Key offerings
- SWOT
- 14.5 AlphaSense Inc.
- AlphaSense Inc. - Overview
- AlphaSense Inc. - Product / Service
- AlphaSense Inc. - Key offerings
- SWOT
- 14.6 Anaplan Inc.
- Anaplan Inc. - Overview
- Anaplan Inc. - Product / Service
- Anaplan Inc. - Key offerings
- SWOT
- 14.7 Botkeeper Inc.
- Botkeeper Inc. - Overview
- Botkeeper Inc. - Product / Service
- Botkeeper Inc. - Key offerings
- SWOT
- 14.8 Cube Planning Inc.
- Cube Planning Inc. - Overview
- Cube Planning Inc. - Product / Service
- Cube Planning Inc. - Key offerings
- SWOT
- 14.9 Datarails Inc.
- Datarails Inc. - Overview
- Datarails Inc. - Product / Service
- Datarails Inc. - Key offerings
- SWOT
- 14.10 Domo Inc.
- Domo Inc. - Overview
- Domo Inc. - Product / Service
- Domo Inc. - Key offerings
- SWOT
- 14.11 International Business Machines Corp.
- International Business Machines Corp. - Overview
- International Business Machines Corp. - Business segments
- International Business Machines Corp. - Key news
- International Business Machines Corp. - Key offerings
- International Business Machines Corp. - Segment focus
- SWOT
- 14.12 Planful Inc.
- Planful Inc. - Overview
- Planful Inc. - Product / Service
- Planful Inc. - Key offerings
- SWOT
- 14.13 Prophix Software Inc.
- Prophix Software Inc. - Overview
- Prophix Software Inc. - Product / Service
- Prophix Software Inc. - Key offerings
- SWOT
- 14.14 Spindle Technologies Inc.
- Spindle Technologies Inc. - Overview
- Spindle Technologies Inc. - Product / Service
- Spindle Technologies Inc. - Key offerings
- SWOT
- 14.15 Tipalti Inc.
- Tipalti Inc. - Overview
- Tipalti Inc. - Product / Service
- Tipalti Inc. - Key offerings
- SWOT
- 14.16 Vena Solutions Inc.
- Vena Solutions Inc. - Overview
- Vena Solutions Inc. - Product / Service
- Vena Solutions Inc. - Key offerings
- SWOT
- 14.17 Workday Inc.
- Workday Inc. - Overview
- Workday Inc. - Product / Service
- Workday Inc. - Key news
- Workday Inc. - Key offerings
- SWOT
- 14.18 ZestFinance Inc.
- ZestFinance Inc. - Overview
- ZestFinance Inc. - Product / Service
- ZestFinance Inc. - Key offerings
- SWOT
15 Appendix
- 15 Appendix
- 15.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 15.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 15.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 15.4 Research methodology
- 15.5 Data procurement
- 15.6 Data validation
- 15.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 15.8 Data synthesis
- 15.9 360 degree market analysis
- 360 degree market analysis
- 15.10 List of abbreviations
INFORMATION SOURCES
DATA ANALYSIS
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