MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
The dataset contains 1,788 entries from 2004-02-13 to 2024-11-08 and 5 columns:
Columns: Date: The draw date, stored as a string. Main_Numbers: A string of comma-separated main numbers drawn (5 numbers per draw). Lucky_Stars: A string of comma-separated Lucky Stars drawn (2 numbers per draw). Millionaire_Maker: A code for the Millionaire Maker draw, with 1,488 non-null values, indicating it was not always included. Jackpot: The jackpot amount, often formatted with a pound symbol (£) and sometimes includes the note "Rolled" if the jackpot was not won.
Hope this helps! Happy to share the code to backfill historical data and update latest data.
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The lottery software and prediction tools market is experiencing robust growth, driven by increasing lottery participation globally and the widespread adoption of mobile technology. The market's expansion is fueled by several factors, including the rising accessibility of lottery games online and through mobile apps, the desire among players to improve their odds, and the convenience of using software to manage and analyze lottery numbers. While traditional methods remain popular, the demand for sophisticated tools capable of analyzing historical data, identifying patterns, and suggesting optimized number combinations is steadily increasing. This trend is further amplified by the expanding availability of subscription-based services offering advanced features and personalized predictions. The market is segmented based on software type (e.g., prediction tools, number generators, syndicate management tools), pricing model (one-time purchase, subscription), and target lottery (e.g., Powerball, Mega Millions, EuroMillions). The competitive landscape is fragmented, with numerous established players and emerging startups vying for market share. Significant investments in research and development by larger players are pushing technological advancements like improved algorithms and integration with various lottery platforms. Despite the growth, challenges remain. Regulatory hurdles and concerns surrounding the legality and ethical implications of prediction tools could restrain market growth in certain regions. The inherent randomness of lotteries also poses a natural limitation on the effectiveness of prediction software, leading to skepticism among some potential users. Nonetheless, the continued growth in lottery participation and advancements in analytical capabilities are expected to drive significant market expansion in the coming years. Based on the provided timeframe (2019-2033), a reasonable estimate for the 2025 market size, assuming a moderate CAGR (let's assume 8% for illustration), could be around $500 million. The market is likely to witness increasing consolidation as larger companies acquire smaller players to expand their product portfolios and global reach.
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MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
The dataset contains 1,788 entries from 2004-02-13 to 2024-11-08 and 5 columns:
Columns: Date: The draw date, stored as a string. Main_Numbers: A string of comma-separated main numbers drawn (5 numbers per draw). Lucky_Stars: A string of comma-separated Lucky Stars drawn (2 numbers per draw). Millionaire_Maker: A code for the Millionaire Maker draw, with 1,488 non-null values, indicating it was not always included. Jackpot: The jackpot amount, often formatted with a pound symbol (£) and sometimes includes the note "Rolled" if the jackpot was not won.
Hope this helps! Happy to share the code to backfill historical data and update latest data.